The Specifications of the Pipes
\r\n\t
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He has led, managed, and worked on more than thirty driverless technology, robotics, and automotive projects. Previously, he led a team of twelve engineers working in the Autonomous Vehicle Software Product Development with Sensible 4, Finland. Dr. Hamid is one of the recipients of the Finnish Engineering Award 2020 for his contributions to the development of all-weather autonomous driving solutions. He is an aspiring automotive thought leader and is often invited as a guest and keynote speaker at industrial and technical events. With more than thirty scientific publications as author and editor to his credit, Dr. Hamid actively participates in global automotive standardization efforts where he is a secretary for a Society Automotive Engineers (SAE) committee. Since the end of Summer 2021, he has been working as the Lead of Strategic Planning for CEVT AB in Sweden.",institutionString:"China Euro Vehicle Technology AB",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],coeditorOne:{id:"204176",title:"Dr.",name:"Ahmad 'Athif Mohd",middleName:null,surname:"Faudzi",slug:"ahmad-'athif-mohd-faudzi",fullName:"Ahmad 'Athif Mohd Faudzi",profilePictureURL:"https://mts.intechopen.com/storage/users/204176/images/system/204176.png",biography:"Prof. Ir. Ts. Dr. Ahmad `Athif Mohd Faudzi received a BEng in Computer Engineering and an MEng in Mechatronics and Automatic Control from Universiti Teknologi Malaysia, and a Dr.Eng. in System Integration from Okayama University, Japan, in 2004, 2006, and 2010, respectively. He was a visiting research fellow at the Tokyo Institute of Technology from 2015 to 2017. He was also a fellow in the Academia-Industry Talent Exchange Programme (AI-xChange): Ceo@Faculty Programme 2.0 \\'Coached by the Pro\\' under Todd Ashton, CEO of Ericsson Malaysia Sdn. Bhd. from 2018 to 2019. He is currently the director of the Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia. He is a Professional Engineer with Practicing Certificate (PEPC), a Charted Engineer (CEng), president for Persatuan Saintis Muslim Malaysia (PERINTIS), committee member of the Malaysia IEEE Robotics and Automation Society (RAS), and a member of ASM-YSN, Akademi Sains Malaysia Special Interest Group ASM-SIG Biodiversity, and ASM-SIG Robotics. He is the leader of the R&D subgroup Malaysia National Robotic Roadmap. In 2020, he received the Top Research Scientist Malaysia (TRSM) award in Robotics. 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When an enterprise is running, if all the produced steam can meet all the demands and no steam is bled, the overall energy efficiency can be effectively improve. Thus the complex networks of steam pipes and steam production scheduling systems were set up. Obviously, steam scheduling has to depend on the real time measured data from the steam pipe networks. Accurately measuring the variables of pressure, temperature and flow rate is essential to secure the safety and economic efficiency. It’s also necessary for accumulating the amount of steam production or the consumption to calculate the energy cost for each working procedure.
With the help of Energy Management System (EMS), all the data collected from the distributed instruments. In practice, the measurements of pressure and temperature are usually accurate enough for the application except that the sensors or the transducers fail. However, the measurements of mass flow rate are not so accurate because of the complex nature of the steam itself, lacking of high precision measuring instruments, the impact of interference and information transmitting network failures and other reasons. The reliability of the measurement of mass flow rate is poor.
When the steam mass flow measurement values deviate from the actual values to a certain extent, the automatic control system may largely deviate from the process requirements substantially. Even worse steam bleeding or accident could happen [1]. Therefore, it is not a satisfactory to decide or adjust the production process according to the data from the flow rate meters [2]. In energy management, the accumulation differences between production and consumption make it difficult to calculate the energy costs, analyze the segments of irrational use of steam, and find the weakness in the management links. Therefore, improving the reliability the steam flow rate measurement data is essential for the normal production and energy conservation in iron& steel enterprises.
The objective of the work may be depicted by figure 1. The real time data (mainly referring to the mass flow rate variables) would be mainly processed by three approaches. By fault data detection and reconstruction, the fault data would be picked out and the real value would be reconstructed or estimated. By gross error detection, the data with gross error would be discovered and re-estimated. By data reconciliation, the random error would be decreased and the quality of the data would be further improved.
The objective of the work
For fault data detection and reconstruction, the reasons of the low accuracy of steam flow rate data are introduced. By applying the statistical process control theory[3] to determine univariate and multivariate process control limit to monitor the abnormal data online. The approach to calculate the real data (mass flow rates) through the thermal and hydraulic mathematical models of the steam pipe networks is proposed.
For the section of gross error detection, the definition of the problem is introduced. And the two basic gross error detection approaches, the Measurement Test (MT) method and the Method of pseudonodes (MP), are demonstrated.
For the section of data reconciliation, the constrained least-squares problems stated in the section of gross error detection is discussed in detail, including the assumptions for the application,the constraint equations and the selection of the weighted parameter matrix.
The presented approaches of data processing can be programmed for computers to determine the abnormality and improve the precision of the mass flow rate data.
There are many reasons for the poor accuracy of steam measurement data. The most important reasons can be concluded as follows:
The working conditions of the instrument deviating from the designed conditions
At present, the mass flow rates are mostly deduced by the volume flow rates and the density. However, the changes of temperature and pressure in the transmission process would lead to the density of steam deviate from the original designed value [3]. The measurement errors would be very large [1]. Any more, some superheated steam would change into a vapor-liquid two-phase medium, which making precision worse.
The Complexity of Steam Characteristics
With the ambient temperature changing, the total amount of the condensate water in the transmission process will be different. That makes difference between the amount of the production and the consumption of steam. In addition, the steam pipe leakage will add to the difference. Therefore, the accumulated readings are always doubtful.
The Occurrence of wearing or damage to the Key Components
As the orifice differential pressure flow rate meter being in use for long time, the size of aperture would differ from the original size because of the adhered foreign bodies, or erosion by the durative high temperature steam flow. As the parameters can not be adjusted on time, and it is hard to calibrate the instrument, the measurement errors will accumulate.
The external Interference or the Failure of Data Transmission Channel
The instrument interfered by the disturbances or failure happening in data transmission channels will make significant errors to the data derived in the control center.
The abnormal data from certain sensors (including temperature, pressure and flow rate sensors) may be characterized as fluctuation quickly with a large magnitude (induced by the poor contact in the instruments), keeping a certain value without any varying (induced by the failure of the data sampling systems) or being outside the normal variable range. The first two cases are not discussed here because they are easy to be discovered. As for the last case, the statistical process control approaches to determine the control limits for data monitoring is applied. When the values of the controlled variables (or functions) exceed the limits, it shows there are abnormal data except that the process is actually abnormal. The statistical process control includes two types--univariate and multivariate control.
The statistical process control (SPC) and control chats were first proposed by Shewhart in quality prediction. Traditional SPC mainly treated single variables. When the value locates outside the normal range, the system would output an alarming signal to notify the operators to check and make sure whether the state is abnormal. In the work, if the process state is actually normally operating, the values of the variables can be judged as fault data. Reasonably determined control limits can reduce the probability of false alarm. Many researches focus on the problem [4-6]. In the work, empirical distribution function combined with the principle of “3σ”[3]is applied to determine the control limits of different variables.
Denote
Divide the range into N intervals with the same length, each length of the interval is:
The corresponding intervals are marked as
The average probability density of each interval can be written as:
The empirical distribution of X can be got with the lengths of intervals as bottom and
Figure 2 shows the distribution graph. The probability of data locating in the range of μ±3σis 99.73%. When the value of X is outside the range, it’s reasonable to suspect the value being abnormal (otherwise, the process doesn’t normally function ). That’s the principle of “3σ”. In practice, the outside of “3σ”occupying about 0.25% probability is named “red zone”, and the range inside μ±2σis named “green zone”(about 95% probability). The intervals between them are “yellow zone”. Four control limits are determined by the method.
As the expectation and the deviation of the X global distribution are unknown, and the estimated values with the sample are not accurate especially when the empirical distribution isn’t similar to normal distribution, the principle of “3σ” can not be applied directly.
The probability density distribution graph of normal distribution
However, according the principle of “3σ” and the empirical distribution of X, the control limits can be deduced reversely by searching the respective probability of limits.
Two kinds of special instances have to be noticed:
No crossing point between empirical distribution and the testing level.
It shows the corresponding sample value is not appeared in the significance test level range. To determine the limits, the empirical distribution can be linearly extended to outer range or estimated with experience by comparing with the real process performance state.
Two more crossing points between empirical distribution and the testing level at one side.
It shows there are disturbances in the data, which makes the empirical distribution fluctuate at one lateral side. According to principle of “3σ”, find the highest probability interval and search from it to the two laterals for the points first amounting to the probability (1-α)/2.
Figure 3-5 show the control limits (4 lines) and monitoring result in a plant. The interval between the two green lines is the “green zone” showing normally working. The intervals outside the red lines are the “red zones” indicating the fault data or process abnormality. The other two intervals are the “yellow zones” which reminds the operators to notice the changes of the data. Figure 4 and 5, in the right side the red and green line are coincident. It can be explained that the outer equipment constraints the variable freely moving.
By determining the limits of single variable, the wild values considered as fault data can easily be discovered. However, two kinds of inherent errors can not be avoided.
The approach of Univariate Statistical Process Control (USPC) can roughly judge fault data. The approach is also appropriate to monitor the temperature and pressure variables.
The shortage of USPC is the operators being prone to “information overload”when the number of the variables is large. Anymore, it’s too rough to judge the normalty of data just by monitor alarming. In practice, the variables maybe constrained by certain inherent functions. It shows the existence of fault data when the functions are unsatisfied. Principal Component Analysis (PCA) is one of the approaches to discover the relationship among the variables by means of statistics. By determining the control limits of two guidelines, Hotelling’s T2 and SPE (Squared Predictive Error, Q), the multivariate process can be monitored conveniently.
Monitoring the Steam Flow Rate of the Steel Making Process
Monitoring the Flow Rate of Start Steam Boiler
Monitoring the Steam Flow Rata of CDQ (Coke Dry Quenching)
The proposed approach is to distinguish different stable states of the process by empirical distribution function, and determine the control limits for each stable state.
Differentiate the stable states and group the samples
Denote the measurement matrix as
Denote
Figure 6 is the curve of flow rate and the distribution bar graph of a chemical process in a period. The two peaks represent different demands for steam in different states.
Without loss of generality, the two peaks distribution is to be discussed. If the control limits are determined without considering the different states, the sensitivity of detecting fault data will be too low for the multivariate process. Apply two normal distributions to fit the two peak sections. If the averages and deviations are signed as
The curve and distribution bar graph of flow rate for a chemical process
By the rule of (7), the samples are separated into two groups. By the same way, the two groups can be further grouped with other variables. However, it’s not suggested to divide the sample into many groups with too few elements in each group. Assume there are only two groups of samples are derived. They are marked as
Determining the control limits of different state with PCA
Through grouping, the sample data is more convergence. First standardize
In it,,
The measured data matrix is standardized as:
Derive the eigenvalues of the covariance matrix
In the equations,
The MSPC based on PCA defined two statistical variables: Hotelling’s T2 and SPE (Q).
If the jth measurement vector is signed as
When the testing level is
SPE(also called statistical variable Q)is defined as:
The control limit can be calculated by:
In the equation
the second data matrix
The monitoring results for the experimental data
Three variables are considered and some of the data are modified on the original data. The no. 167-172 and no.350-355 samples show the transition procedure of two states. The no.360-365 samples are modified data which deviate from the normal constraint. Figure 7 shows the changing curves of the three variables and the scatter diagram in 3-dimention space.
Two experiments are designed to testify the advantage of differentiating states applied in this work. Figure 8 is the case no differentiating states, whilst figure 9 is the differentiating case. As the figures shown, the approach of differentiating states and determining the control limits respectively is more sensitive to the transition of states and fault data.
Locate and isolate the fault data
In the case of MSPC, the fault data can be located and isolated by contribution diagram. The variable contribute to SPE and
The changing curves and scatter diagram of three variables
The result of monitoring no differentiating states
The result of monitoring no differentiating states
After the fault data are detected, the next step is to estimate the true values of the variables. As the experience shown, the measured temperature and pressure values are usually accurate. So the object of the work is to calculate the flow rate value with the detected temperatures and pressures according to the steam network model.
To deduce the model, the real conditions are simplified as: 1) The steam in the pipes is axial-direction one dimensional flow; 2) The network is composed of nodes and branches(pipes). 3) There is no condensate or secondary steam and the effect is neglected.
The hydraulic and thermal model of single pipe.
The hydraulic model of single pipe
By the law of momentum conservation the hydraulic model can be written as [8]:
Usually, there’s little difference between the products of compressibility factors and temperatures in the same pipe. Considering the elbows, reducer extenders and other friction factors, the equivalent coefficient
Thus:
In accordance with Альтщуль equation, frictional factor
After transferring the units of
In the equation,
Denote
The thermal model of single pipe
By the law of energy conversation, the static thermal model can be written as follows:
The definitions and units of
In term of equation IF-97, The unclaimed symbols are defined in the reference[9].
The amount of heat loss along unit pipe length can be calculated using equation (38)\n\t\t\t\t\t\t\t\t\t
In equation (38),
Steam pipe network synthetic model
Incidence matrix of pipe network
Draw out pipe network map, number the nodes in the order of steam sources, users, three-way nodes, and number the pipes in the order of leaf pipes, branch pipes. Suppose there are
The flow rate balance equation of the pipe network
Denote:
In term of mass conservation law, the total flow rate of each node should be 0, that is:
According to the hydraulic and thermal equations, for the pipe network equations:
Equations (26), (27), (35), (36), (42), (43), (44) comprise the static model.
Industrial networks are equipped with temperature, pressure and flow meters except intermediate nodes. The proposed algorithm tries to calculate the flow rate of each pipe with the given condition. The flow rate meter readings are applied to evaluate of the algorithm.
Layout of steam pipe network
Set figure 10 as an example. the index of the nodes and pipes are shown in the figure:
Determine the elements of matrices A, Q as the preliminarily defined.
As the previous definitions for equation (41)(42),
In equation (47),
Thermal calculation
It can be inferred by the flow direction of steam that:
Presume:
Set the searching start value for
Hydraulic calculation
Just as the thermal calculation, first presume the temperature of the intermediate nodes as the value searched by the former step, and set the start point and step size for the two intermediate pressures. Then begin searching in the region determined by inequality (48) with the step size to calculate the density (equation (32)), frictional factor ((28), (29), (33)), and flow rate ((26), (42)) of each pipe. When calculating the flow rate, presetting the initial values as the result of step 2 will reduce the iterative calculation time. Test whether
Thermal model Verification
Substitute the intermediate nodes’ temperature (determined by step 2), pressure and flow rate values (determined by step3) into thermal model to verify the inequality
In the algorithm, the value
The specifications of each pipe are shown in table 1. The parameters in the model and algorithm are initially set as:
Substitute the specification data in Table 1 and temperature and pressure data in Table 2 to the algorithm calculating flow rate values.The comparision results are listed in Table 2. It shows the largest difference is less than 6%. Actually, the neglected factors in model, the parameter errors and measurement errors add to the difference.
Pipe No. | Length(m) | Inner Diameter (mm) | Outer Diameter (mm) | Heat Insulation Layer Thickness (mm) |
1 | 600 | 700 | 720 | 110 |
2 | 2300 | 600 | 630 | 105 |
3 | 700 | 400 | 426 | 95 |
4 | 1300 | 500 | 529 | 100 |
5 | 1200 | 600 | 630 | 105 |
The Specifications of the Pipes
Outer node No. | Pressure(MPa) | Temperature (°C) | Measured q(t/h) | Calculated q (t/h) | the relative difference |
1 | 0.705 | 286 | 117 | 121 | 3.4% |
2 | 0.679 | 195 | 19 | 20 | 5.2% |
3 | 0.563 | 246 | 19 | 19 | 0 |
4 | 0.445 | 256 | 79 | 82 | 3.8% |
The Comparisons of the Measured Data and the Calculated Data.
The flow chat of flow rate calculation
The results show the validation of the model and effectiveness of the algorithm, and the proposed model and algorithm can be applied to simulate the running of static steam pipe network, reconstruct the discovered fault data of the mass flow rates.
As for the larger scale steam network with more than 3 intermediate nodes, it’s difficult to apply the algorithm directly. However, the pipe network can be divided into several smaller networks from the nodes with known temperature and pressure.
A section of the steam network named “S2” for an iron &steel plant in China is shown in figure 12. In the figure, N1-N7 represent the different production processes. The arrows point to the direction of steam flow, the variables Xi or Xij on behalf of the real steam mass flow. The electric valves are remotely controlled by the operators. Many industrial steam systems are similar in structure to this system, but the scale is much larger.
A section diagram of steam network
If all of the variables above have been measured, suppose that the electric valves are fixed at a certain position, and the pipeline leakage and the amount of condensate water can be neglected, the constraint equations can be written out on the basis of the mass balance.
The overall balance equation can also be written out as:
If we remark
as the vector of mass flow rates in the steam network.(51)\n\t\t\t\t\t(52) can be abbreviated as:
In (54), A is the incidence matrix. The matrix is composed by the elements of 1, -1, and 0.
If Y represents the vector of measured flow rates and X is the vector of true flow rates, then:
In the equation,
When there is no gross error in the measurement vector, finding a set of adjustments to the measured flow rates to satisfy equation (54) is the problem of data reconciliation. Denote the adjustment vector as
Applying Least squares method, it can be stated as the constrained least-squares problems:
Q is the weighed parameter matrix. Usually, Q is selected as:
The solution
The vector of residuals
By gross error detection, the systematic errors in the measurements can be removed, and by data reconciliation the random errors can be reduced. However, if the gross errors are not removed, the gross errors in some variables will propagate to other accurately measured variables in the procedure of data reconciliation. So gross error detection had better be adopted in advance.There are two basic types of gross error detection methods, they are based on measurement test (MT) and nodal imbalance test (NT).
Detection based on test of residuals belongs to the statistical test and has been termed and evaluated [11]. Measurement test[12] is the basic algorithm.
Apply the least-squares routine by using equation (58)\n\t\t\t\t\t\t\t(59) to compute
Compute the variable for each pipe (or stream)
In the equation,
On the hypothesis that the measured value in the jth stream doesn’t contain gross error,
Compare
Where n is the number of measurements tested (currently, n=18),
If S is empty, proceed to step 7. Otherwise, remove the streams contained in S and aggregate the nodes connected with the stream. This process yields a system of lower dimension with compressed incidence matrix
Replace A, Y, and Q with
Solve equation (54) to Compute the rectified values of the streams in S by substituting the estimated values computed in step 5 with the data of the steams in T. The original measured data are used for the streams in the set
The vector comprised of the results from steps 5, 6 and the original measured data for the streams in R is the rectified measurement vector. If S is empty, then
Notations to the algorithm:
In step 4, it’s possible to remove the good streams into S in some cases.
The equation (62) and critical level value provides a conservative test since the residuals are generally not independent. It’s not always applied [13].
The different significance levels will induce different results and effects.
For the shortage of MT that it tends to spread the gross errors over all the measurement and obtain unreasonable (negative or absurd) reconciled data, The Iterative Measurement Test (IMT) method and Modified IMT (MIMT) method were proposed. However, the main frames are the same with MT.
The algorithms of gross error detection based on statistical test of nodal imbalance are mainly based on the work of literature [14]. Applying nodal imbalance test to each node and the aggregation node (ie. pseudonode) to locate and remove the gross errors. The basic algorithm named Method of pseudo nodes (MP) is listed as:
Compute the nodal imbalances vector
Where
Compare each
If no bad nodes are detected in step 2, proceed to step5. Otherwise, repeat steps 1,2 (changing the matrices and vectors accordingly) for pseudonodes containing 2, 3… m nodes.
Denote the set of all streams not denoted as good in the previous steps by S. The measurements
Steps 5-8. The procedure is the same as the steps 4-7 of the MT algorithm.
Notations to the algorithm:
The principle assumption is that the errors in two or more measurements do not cancel.
In step 3, m is chosen by the effect of locating the gross errors. If the increasing of m doesn’t gain any improvement, the step can be stopped.
By applying graph-theoretical rules[14] some streams can be determined as bad measured streams. The additional identification may be useful for the procedure of MP.
Equation (62) is not applied in the algorithm to control type I error. The probability of a type I error in the nodal imbalance test is not necessarily equal to the probability of rejecting a good measurement in MT [15].
If the set S obtained in step 4 is empty, but there is one or more nodes are truly bad. Usually the instances happen when there’s leak in the network system or the measured errors canceling each other. To solve the problem, the Modified MP (MMP), MT-NT combined methods [16] are proposed.
As the above two methods shown, gross data detection and data reconciliation are inherently combined together. Gross errors detection is proceeded with the help of the least-square routine, which actually can obtained the optimal estimates.
Just as mentioned in section 3, the data reconciliation problem is expressed as the solution of the constrained least-squares problems.However, the assumptions, the constraint equations, and the weighted parameter matrix have to be discussed.
For the application of the steam network, there are four latent assumptions. They are:
The process is at the steady state or approximately steady state.
Suppose that the electric valves are fixed at a certain position, and the mass flow rate in each steam has been close to a constant for a period of time. So the constraint equation (54) can be written out on the basis of the balance for all the nodes (including real nodes and pseudonode) and the solution of the problem can be in accordance with the actual state.
The measurement data are serial uncorrelated. The assumption makes it easier to estimate the deviations of the measurements. Although this is usually not the real case, the serial data can be processed to reduce the confliction [17].
The Gross Errors have been detected and removed. If there’s gross error in the measurement data, the procedure of data reconciliation will propagate the errors.
The constrained equations are linear. The style of equation (54) is linear; however the true constrained equation will be related with many other environmental variables and obviously not linear. So the assumption is to be approximately satisfied.
Only these four assumptions are nearly satisfied, can the solution of the problem (equation (58)) be closer to the true value.
Need to note equations (51) and (52) are based on the assumptions of steady state and linear constraints, no pipeline leakage or condensate water loss. But it cannot avoid the condition of the pipeline leakage and condensate water. So the equations (51)(52)should be written as:
Here:
It represents the vector for the condensate water and leakage loss amount of each constraint equation. Each element has relations with the environmental temperature τ, pipe diameter D, pipe length l, steam temperature T, pressure P and the flow rates of main pipes.
It’s difficult to set up the mathematical models of these loss amounts. However, by the first order of Taylor Expansion at the point of (
The constants in equation (69) can be determined by the method of multiple linear regression with a certain number of history data. As the constraint equation changed into:
The solution to the least-squares problem of reconciliation is:
The selection of Q directly influences the result of the data reconciliation. In theory Q is recommended as the equation (57). However, the deviations are usually unknown or may vary as the time of instruments being used getting long. The deviation of each measurement can be estimated by the standard deviation of the sample data.
Where,
If a small number of high-precision instrument are applied,, the corresponding elements in the matrix of Q with smaller value, then the quality of data will be greatly improved. Though some literatures [18] [19] recommended the methods to determine or adjust the matrix Q, the methods or theories for general application is not available.
The simulation results of data reconciliation for the present application are shown in table 3. The measured data is presumed according to (73)
The standard deviations are set to be 0.5 percent of the true values. In the simulation, the pipe network loss is not considered. As shown in table 3, most of the rectified data are much closer to the true values. The simulation testifies the efficiency of data reconciliation.
X01 | X02 | X1 | X11 | X12 | X2 | X21 | X22 | X3 | |
true value | 5 | 5 | 50 | 25 | 25 | 60 | 30 | 30 | 30 |
measured value | 5.347 | 5.159 | 54.751 | 25.086 | 26.097 | 62.289 | 32.297 | 32.386 | 30.561 |
variance | 0.0006 | 0.0006 | 0.0625 | 0.0156 | 0.0156 | 0.0900 | 0.0225 | 0.0225 | 0.0225 |
rectified value | 5.347 | 5.150 | 52.228 | 25.090 | 25.514 | 62.178 | 31.946 | 31.730 | 31.174 |
X31 | X32 | X4 | X41 | X42 | X5 | X51 | X52 | X6 | |
true value | 15 | 15 | 40 | 20 | 20 | 20 | 25 | 25 | 30 |
measured value | 15.735 | 15.668 | 42.585 | 21.419 | 21.509 | 20.552 | 26.699 | 26.638 | 32.488 |
variance | 0.0056 | 0.0056 | 0.0400 | 0.0100 | 0.0100 | 0.0100 | 0.0156 | 0.0156 | 0.0225 |
rectified value | 15.582 | 15.592 | 42.306 | 21.340 | 21.566 | 20.946 | 26.086 | 26.236 | 31.375 |
The Result of Data Rectification
In the chapter, three data processing approaches to improve data quality are demonstrated. For the importance of properly controlling the steam system performance normally, The data obtained from EMS should be accurate and reliable. However, the data may be influenced many outer factors. The approaches proposed in the chapter are to detect the fault data, locate and remove the gross errors and reduce the random errors.
Four main reasons induce the low accuracy of the mass flow rate measurement. Combining the principle of “3σ” and empirical distribution function to determine control limit is proposed for single variable monitoring, and applying PCA to determine the control limits for the multivariate process. With the limits, most of fault data can be identified easily. For the fault data of flow rates, the approach to setup the mathematical model of the steam network and calculate the flow rates is proposed. The simulation and experimental results show the effectiveness of the approaches.
Two approaches, MT and MP, to detect the gross errors are demonstrated. Both are preceded by selecting the statistical variables, which follow standard normal distribution, and applying hypothesis test. Some notations for the two algorithms are stated.
The constrained least-squares problem applied for present application is discussed. The four assumptions are approximately satisfied when the steam network is normally function and the state is nearly static. The pipe network loss can be considered to add to the constraint equations for more accurate results. The weighed parameter matrix has influence on the results of data reconciliation. To estimate the deviations of the instruments online and apply several instruments with high precision will improve the quality of reconciled data.
This work is supported by the Knowledge Innovation Project of Chinese Academy of Science (No.KGCX2-EW-104-3), National Nature Science Foundation of China (No.61064013) and Natural Science Foundation of Jiangxi Province,China (No. 20114BAB201024).
An estimated 1–3% of people in Canada are transgender, and just over 7% of Canadians identify as lesbian, gay or bisexual [1]. Approximately 32% of them report having unmet healthcare needs [2]. In the United States, there are over 1,000,000 transgender people, a third of which report avoiding healthcare for fear of discrimination [3]. Transgender people and sex and gender minorities (SGM) experience unnecessary and preventable health inequities including higher rates of mortality, depression, anxiety, substance use, chronic disease and suicidality which are, in part, the summary result of atrocious experiences of discrimination and stigmatization on the part of healthcare staff and institutions [1, 4, 5, 6]. Institutionalized cisheteronormativity, a term which refers to the culturally-driven normalization of cisgender, heterosexual status and the invisibilization of non-cis, non-heterosexual people [7, 8], is a primary social bias encoded into digital health structures and care cultures that prevents meaningful knowledge development about the health status and needs of this population [1, 6, 7]. Poorly defined data elements, conflated sex and gender concepts, constrained representation of gender variation, and lack of cultural understanding on the part of health information professionals and clinicians are all conditions contributing to healthcare systems, environments and interactions that stigmatize transgender people, and that drive health inequities [1, 6, 7, 8, 9, 10]. Since 2019, technical, data and messaging standards development organizations (SDOs) have been working to modernize gender, sex and sexual orientation (GSSO) information practices in electronic health records (EHRs) to enable inclusive and affirming care for transgender people and SGM [1, 8, 11]. In this chapter, I will provide an overview of these recent innovations, including work of Canada Health Infoway’s Sex and Gender Working Group and the HL7 Gender Harmony Model.
The global population of transgender people and SGM live with higher burdens of disease and lower health than many other populations, especially cisgender people [12, 13]. Despite of the fact that the human rights of transgender people are protected by national and internal law [14], transgender people continue to face severe discrimination. The experiences of transgender people in healthcare, at the hands of healthcare staff, are atrocious [1], and ought to be a central concern to healthcare decision makers, policy makers and legal supports, and to society at large [15, 16]. Healthcare, as an organizational, regional, national and global social system with a specific ethical orientation that ought to adhere to, uphold, and advocate for the Universal Human Rights of transgender people, and
Modernization of outdated GSSO information practices is an equity-oriented endeavor [19] intended to address the technical conditions that enable structural and institutional bias and that contribute to health inequities for transgender people and SGM [16]. Information practices include the definition, collection, organization, sharing and use of health information [17]. The term “Gender, Sex and Sexual Orientation” or “GSSO” was coined by C. Kronk, PhD of Yale University, who has created and published a Queer Ontology to facilitate increased awareness and improved understanding and consistency of use of GSSO terms [14, 20]. Outdated GSSO information practices include:
Poor definition of GSSO information
Conflation of the meaning of distinct gender and sex concepts.
Problems related to collection of GSSO information
Confusion as to who should be collecting what GSSO information, when, and for what purpose(s) in healthcare workflows.
Problems related to the organization of GSSO information
Use of sex and gender codes as though they are interchangeable and synonymous in administrative and clinical domains.
Problems related to information sharing and exchange
Problematic mapping of sex and gender codes between code systems in exchange standards.
Inadequate representation of sex and gender diversity in exchange standards.
Problems of use
Unconscious bias and assumptions related to sex and gender concepts.
Inadequate emphasis on quality clinical care and the therapeutic relationship for SGM.
Overemphasis on business requirements and efficiency at the expense of clinical care quality.
Building on the momentum of the work of such expert agencies as the Fenway Institute, Trans Care BC and Rainbow Health Ontario, there has been a recent increase in activity related to raising the critical awareness about the importance of diversity, equity, and the role of healthcare in creating the conditions for the well health of transgender people and SGM in North America and beyond [11, 12]. A diverse international community of people and organizations, including expert agencies, SDOs, researchers, EHR and solutions vendors, healthcare professionals and health information professionals, have dedicated their time and expertise to making healthcare more inclusive. In this section, I will discuss key developments within this community and key activities in relation to the healthcare of transgender people and SGM beginning with my own country, Canada.
Heading up the co-development, maintenance and support of technical and interoperability standards that support healthcare in the country, Canada Health Infoway (Infoway) has been a key organization enabling digital health in Canada since 2001. As Canada’s National Release Center for such technical standards as the HL7 International information exchange standards, the Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT) and Logical Observation Identifiers, Names and Codes (LOINC), Infoway’s mandate includes bringing a Canadian perspective to international standards development with SDOs such as HL7 International, SNOMED International, and the Regenstrief Institute. At the national level, Infoway collaborates with a network of pan-Canadian Healthcare Organizations, provinces, jurisdictions, vendors and governance bodies to support the implementation of technical standards in the Canadian digital health ecosystem and develops, maintains and publishes pan-Canadian and jurisdictional subsets via the Terminology Gateway service. Infoway convenes stakeholders by establishing communities for collaboration and working groups on a central information sharing and engagement platform, InfoCentral. One such working group is Infoway’s Sex and Gender Working Group (SGWG).
Infoway’s SGWG was established in 2019 with the primary aim of modernizing outdated GSSO information practices in Canadian electronic health records [17] to support the health of all Canadians. Since then, this international community of researchers, pan-Canadian Health Organizations, healthcare agency representatives, subject matter experts, and people with lived experience have been convening monthly to share recent and relevant research, discuss the process of modernization [17] and lead modernization by taking evidence-informed action.
After 2 years of convening, Infoway’s Sex-Gender Working Group produced
Envisage an equity- and SGM-oriented health system that embraces diversity and aligns with other SGM-related initiatives.
Engage organizations and communities across Canada to modernize GSSO information practices in EHRs that support equity-oriented healthcare and meet SGM needs.
Establish a precise, inclusive, appropriate, evolving and multi-level GSSO terminology with standardized data definitions, coding schemes and value sets to support affirming patient care, provide complete and accurate health system use of data and inform health research.
Adopt a common set of EHR functions that support the collection and use of standardized GSSO data, SGM-oriented clinical care guidelines (e.g. radiation shielding in imaging exams, cancer screening, lab reference ranges, reminders, and reports), clinical quality improvement, data-driven analytics, health system performance tracking and health evidence generation.
Integrate and tailor GSSO data collection and use including secondary uses within all organizational structures, policies, practices, governance, use cases and workflow processes in order to be responsive to specific care needs of SGM.
Educate and train healthcare staff to enhance their capacity to provide culturally competent and safe care, and implementers, policy makers and researchers to ensure required safeguards in place to protect these data. Inform patients on the need for GSSO data collection and protections for safe access and use.
Establish a central hub to liaise, guide, assist and monitor the progress of this action plan over time [21].
Although there remains much work to do, members of Infoway’s SGWG are using the Action Plan and its aims as a guide to specify and cultivate adoption of modern, consensus-based data, technical and exchange standards that address structural cisheternormativity in Canadian healthcare. The community continues to meet on a monthly basis and drive new research, insights, and the development of modern approaches and practices to realize the aims outlined in the Action Plan.
The continued support of standards organizations such as Canada Health Infoway will play a foundational role in the ongoing process of modernization of healthcare. More information about Canada Health Infoway and Infoway Communities can be found on InfoCentral.
The beliefs, attitudes and organizational practices required to create culturally and psychologically safe, quality healthcare for transgender people will be adopted by individual health organizations. However, meaningful change will not happen unless the standards that we use to communicate health information from one service to another—the standards we use to connect a continuum of care services—are also modernized such that they are inclusive of transgender people and SGM and are designed to address the problems related to outdated information practices. Health information exchange standards (sometimes referred to as messaging standards) are powerful drivers of systemic change. As a world-leading exchange standard development organization, HL7 International plays an important role in the specification and implementation of health information exchange standards that support
In 2019, HL7 International created the Gender Harmony Project as an open, international collaboration of volunteers and experts from international agencies and SDOs dedicated to creating gender-inclusive standards in healthcare, and to addressing harms associated with biased exchange standards [11]. Members of this group have been meeting regularly to define, specify, model and explicate the Gender Harmony Logical Model since its establishment.
In early 2021, the Gender Harmony Project produced the informative-ballot-for-comment that outlines the Gender Harmony Logical Model. Input on the document was collected from international stakeholders, and the first release of the informative document was published by the HL7 International Vocabulary Working Group in August of 2021:
Unambiguous, evidence and consensus-based definitions of key sex and gender concepts that support model elements.
Avoidance of stigmatization in value sets by enabling nonbinary options without the use of such labels as “other” or “complex” in model elements.
Explicit description of model concept and element attributes means that organization of administrative and clinical GSSO information is clearly defined, streamlining GSSO data collection use cases.
Clear definition of administrative and clinical sex and gender data.
Clear division between administrative and clinical sex and gender data in model elements.
Clear articulation of essential elements that support affirmative care interactions.
Unambiguously defined concepts and clear organization of model element concepts and attributes reduces risk for transformation of sex and gender concepts during sharing and exchange.
Representation of gender diversity in messaging standards.
Reduces unconscious bias and unchecked assumptions related to sex and gender.
Emphasizes care quality by supporting gender-affirming patient-provider interactions.
Supports business requirements by separating administrative data from clinical data.
The consistent application of the Gender Harmony Model in the design of joined-up health information systems is a shift in paradigms—from outdated GSSO information practices to modern ones, and a shift that enables quality healthcare for transgender people and SGM.
The Gender Harmony Paradigm in healthcare is implementing systems design that addresses conditions resulting in health inequities for SGM. It involves meaningful integration of the HL7 Gender Harmony Logical Model, modern GSSO information practices and associated standards enabling culturally safer institutional policies and practices that support inclusive healthcare for transgender and SGM people. The Gender Harmony Model reduces real and latent harms associated with current gender constructs in health by: (1) decoupling administrative and clinical concepts in digital health systems; (2) addressing the conditions that lead to negative clinical interactions that deter transgender people from seeking care (e.g. being misgendered, misnamed or outed); and finally (3) by addressing conditions that make transgender people and people with nonbinary gender identities invisible to clinicians, policy makers, analysts and researchers who use health information for system improvement. At the patient level, the Gender Harmony Model enables clinicians’ use of person-centred language in clinical interactions and provides them with the information necessary for objective and appropriate preventive screening, treatment and referral options based on unambiguous sex and gender health information. At the organizational level, implementation of the Gender Harmony Model involves the adoption and use of logical, technical and data standards necessary to support gender affirming care cultures and practices. At the health system level, implementation of the model orients clinical and institutional healthcare toward gender equity by addressing problems associated with the omission of data elements required to generate knowledge for health system improvement.
The Gender Harmony Logical Model, which I will call ‘the Model’ throughout the remainder of this chapter for ease of reading, does not exclusively benefit transgender and nonbinary people. All patients benefit from higher quality care and analytics enabled by the Model. Application of the Model can broadly be considered a step toward personalized medicine and more person-centred care since it enables more granular use and understanding of complex social and medical phenomena. The data elements of the Model [22] are designed to address the conditions that are currently leading to health inequities for transgender people such as problems associated with omission of data elements required for affirming care (i.e. Name to Use, Pronouns), conflation of administrative sex and gender concepts (i.e. Gender Identity, Recorded Sex or Gender) and by creating opportunities for clinicians to provide care by specifying care needs, rather than making assumptions related to outdated binary constructs (i.e. Sex for Clinical Use) [11]. In this section, I will provide an overview of each data element and its specific attributes that support design and implementation decisions in digital health systems such as EHRs. Model data elements will be capitalized to improve readability.
In healthcare, knowing a patient’s gender identity allows clinicians to provide informed and affirming, quality care, without misgendering them based on assumptions or pre-existing and out of date information in the patient record. All people have a gender identity. Gender Identity is a person or patient’s personal sense of being a man, woman, boy, girl or something else [22]. Gender identity must be declared by the person or patient, rather than them being labeled with it. Gender identity is fluid and can change, and so must be collected routinely [23]. People can identify with none, one, or many genders, and can set time constraints on specific gender identities. Gender Identity should be used in conjunction with the other Model data elements to support gender-affirming, quality healthcare and should be validated privately with the patient to avoid outing them. Outing is when information about a person’s gender or sexual identity is made known to specific people without permission. If this is done by a clerk or a clinician in the context of an emergency room or a waiting room, it may be directly harmful to the person being outed or lead to harm. As with all EHR data, informed consent about collection, sharing and use of Gender Identity information should be acquired before it is entered in the patient chart.
In order to ensure international applicability of the Model, the terms
Gender Identity is included in the Canadian Institute for Health Information CIHI Reference Data Model [24] (CRDM) and the United States Core Data for Interoperability Version 2 [25] (USCDIv2).
Name to Use is the name that the person accessing healthcare services uses and wishes the care team to use. Importantly, Name to Use may not simply be a person’s preferred name. Name to Use may be a name associated with the person’s gender identity, and so should be used in healthcare interactions to avoid misnaming or outing people. Name to Use may or may not be consistent with a person’s legal name. Misnaming people based on legal records can be harmful, so it is best to ensure that the name the patient uses is validated privately, and that this validated information is updated in the patient record routinely and promptly upon patient arrival to prevent misnaming or outing in subsequent care interactions. Use of the Name to Use may be time-limited [22].
Pronouns (also called third person pronouns, personal pronouns and incorrectly often called preferred pronouns) and possessives are language tools used to communicate with and about people. They include such options as he/him/his, she/her/hers, and they/them/theirs, among many options [7]. Pronouns come in sets. The most common pronouns used are gendered, and so by validating pronouns used by a patient and updating the care record before clinical interactions occur, intake staff can help ensure that patients are not misgendered by clinicians in subsequent interactions by the use of incorrect pronouns, and maintain the integrity of the therapeutic relationship. The Pronouns data element of the Model complements Gender Identity and Name to Use to ensure that communications with and about a patient are person-centred and affirming of their gender [21]. A useful rule of thumb is that until pronouns are confirmed by the patient, the gender-neutral options they/them/theirs can be used in interpersonal interactions to avoid misgendering. Like Name to Use and Gender Identity, patients may use more than one pronoun or set of pronouns, and their use of specific pronouns may be time delimited.
One of the primary problems associated with outdated GSSO information practices is that sex and gender concepts, the code values that represent them, the labels on the data fields they occupy and their distinct meanings, are conflated and used as though they are synonymous [6]. Administrative values cannot be used for clinical decision making with 100% reliability, particularly when used in the care of people whose sex at birth does not align with their gender identity and people who identify as transgender. Separating the sex or gender value that has been recorded on identification and other administrative or legal artifacts from clinical sex and gender identity helps to reduce unchecked assumptions about anatomy based on inaccurate recorded sex or gender information. The Model data element called Recorded Sex or Gender does just this: it separates administrative sex and gender information from the clinical sex and gender information, and is necessary to provide safe, quality, and gender-affirming clinical interactions.
Because there are so many different possibilities in the documentation that patients can present to support identification, it may be important to know the provenance of the Recorded Sex or Gender information. Provenance includes details about the jurisdiction that issued the record, its acquisition date, its validity period, and information about the source record including the name and definition of the field name and definition. Sex or gender information that is displayed on drivers’ licenses, government IDs, birth certificates and other documents are Recorded Sex or Gender information. In many cases, this information is acquired through active interfaces between health information systems and government administrative databases via exchange standards. Inconsistencies between Recorded Sex or Gender data values and Gender Identity should not automatically be regarded as erroneous and should be validated with the patient.
Birth sex, or sex assigned at birth, as an example of recorded sex or gender that is present in most care records, is included in the CRDM [24] and the USCDIv2 [25].
Sex for Clinical Use is a novel clinical data element that supports person-centred care by enabling clinicians to specify clinical sex beyond binary options based on different observations. Much like the explicit inclusion of a patient-declared Gender Identity, the key value of Sex for Clinical Use is that it enables the removal of unchecked assumptions about a person’s sex that may be present in administrative binary male/female constructs. To achieve this, a provider may refer to an anatomic inventory, a surgical history, a hormonal inventory or other artifacts that inform the context for the observation. Four such examples include:
ordering a screening mammography for a transman who has had top surgery;
specifying testicular protection for a transgender woman receiving an imaging procedure;
referencing a nonbinary hormonal reference range for a nonbinary person in transition; or
ordering a Pap smear for a man whose sex assigned at birth does not match his gender identity.
Full transition is not always required to address gender dysphoria [10], but the ability for providers to reduce unchecked assumptions based on recorded sex or gender, and provide agile, appropriate and quality care to all people is an important feature that the model supports. Value options that are proposed for the model include ‘male,’ ‘female’ and ‘specified’ sex for clinical use. The term ‘specified’ was chosen for the Model to eliminate stigma associated with a value options of ‘complex’ (not all patients who may benefit from the use of this element are particularly complex), to align with the use case where an option is specified by the provider, and to enable backwards compatibility with (and avoid use) of the stigmatizing term ‘other,’ as is so commonly used in health information systems [8].
When used together, the five data elements of the Gender Harmony Logical Model facilitate the tight alignment between social concepts, code systems, health terminology standards, exchange standards, EHR design and healthcare practices required to address stigma and drive health equity through the provision of gender-affirming care. However, code systems and health terminology standards are dynamic in nature and remain prone to the inappropriate codification of stigmatizing or pathologizing terms, codes or concepts [4]. As society becomes more complex and technology become more ubiquitous, the importance of remaining vigilant for standards that exclude marginalized populations and intersectional patient identities will become increasingly important. Primary care providers, in particular, are instrumental to the implementation of changes that will close the equity gap for transgender people because they provide the bulk of preventive screening and treatment related care and serve as a primary coordination point for patients. Modernized GSSO information practices help primary care providers to ensure that patients are appropriately matched to their care needs, and that assumptions related to conflated sex and gender concepts are avoided [13]. However, regulated health information professionals that have healthcare-specific training and awareness of healthcare models, ethics and practice will play a critical role in supporting modernization efforts. Certified Terminology Standards Specialists (CTSS), Certified Classification and Coding Specialist (CCCS), Certified Healthcare Information Management (CHIM) professional credentials, signal professional adherence to a base set of demonstrated competencies and ethics, and professionals with health information credentials such as these are more likely to have knowledge about the importance of the therapeutic relationship and downstream impacts of technical design on patient care [26]. A major responsibility of certified health information professionals is to align technical design with clinical requirements such that the integrity of this most sacred and fundamental component of healthcare—the therapeutic relationship—is protected. Like credentialed and regulated clinicians, certified health information professionals are accountable for upholding the core evidence-based values and ethics that support healthcare (i.e., person-centred care, trauma-informed care, the Gender Harmony Logical Model). The Digital Health Revolution has arrived [27], and the ongoing datafication of healthcare and society means that informatics professionals must regularly visit their ethics to ensure they are aligned with healthcare values, develop critical awareness of the impact of structural bias in data and technical design and standards on social justice, cultivate ethical communities around the design and analysis of information systems and standards, and evaluate the impact of their work on the lives of the patients they serve [28].
Transgender people experience unnecessary and preventable health inequities that are, in part, the result of social bias encoded into the technical and data structures that connect systems in the digital health ecosystem. Poorly defined data elements, conflated sex and gender concepts, constrained representation of gender variation in code systems, outdated terminology standards and health information exchange standards contribute to this harm. Canada Health Infoway’s Sex and Gender Working Group is an international, transdisciplinary community of people and agencies with an Action Plan to modernize gender, sex and sexual orientation information practices in healthcare. The HL7 International Gender Harmony Project has recently published the first release of the informative document for the Gender Harmony Logical Model, a consensus-based, evidence-informed logical model developed to address outdated information practices and support the modernization of healthcare for sex and gender minorities. Though there remains much work to do, this dedicated international community of professionals, researchers and people with lived experience are undertaking actions that enable inclusive and affirming care for transgender people and SGM.
I gratefully acknowledge the ongoing support of these efforts by Health Canada, Canada Health Infoway, all the members, agencies and presenters participating in Infoway’s Sex-Gender Working Group, the Canadian Institute of Health Information, the Canadian Health Information Management Association, the Office of the National Coordinator, HL7 Canada, HL7 International and the University of Victoria GSSO Research Team, the Canadian Institutes for Health Research, Michael Smith Health Research BC, the Community-Based Research Centre, and the large community of people, providers and agencies dedicated to equitable health for transgender people and sex and gender minorities for their continued work toward a better humanity, and a better future.
The author(s) declare no conflict of interest.
My thanks to Dr. Francis Lau for his review of this chapter as I was drafting it. The information provided in this chapter has been derived from my participation as Co-Chair in Infoway’s Sex and Gender Working Group and participation in the HL7 Gender Harmony Project. Please report any mistakes or inconsistencies to me at
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\\n\\n\\n\\nIntechOpen is committed to disseminating high-quality scientific research in a manner that exemplifies the best practice in scholarly publishing. IntechOpen is an official member of the Committee on Publication Ethics (COPE), which advocates the maintenance of the highest ethical standards for all parties involved in the act of publishing, including Authors, Academic Editors of the book, Peer Reviewers, the publisher and Societies, where applicable.
\\n\\nIn line with publication ethics practices recommended by COPE, ICMJE, and other similar organizations, IntechOpen's contributing Authors, Academic Editors, and Peer Reviewers are required to declare fully all possible conflicts of interest.
\\n\\n\\n\\nIntechOpen's Authorship Policy is based on ICMJE criteria for authorship. In order to be identified as an Author, the following requirements must be met:
\\n\\nAll scientific works are subject to Peer Review prior to publishing. IntechOpen is a member of the Committee on Publication Ethics (COPE) and all participating referees and Academic Editors are expected to review submitted scientific works in line with the COPE Ethical Guidelines for Peer Reviewers where applicable.
\\n\\n\\n\\nThe Internet has changed the dynamics of scholarly communication and publishing which is why we find it necessary to clearly indicate our stance on what we consider to be a published scientific work. A significant number of working papers, early drafts, and similar works in progress are shared openly online between members of the scientific community. It has become common practice for researchers to announce their work on a personal website or a blog in order to gather comments and suggestions from other researchers. Such works and online postings are ‘published’ in the sense that they are made publicly available, but this does not mean that if submitted for publication by IntechOpen they are not original works. We differentiate between reviewed and non-reviewed works when determining whether a work is original and has been published in a scholarly sense or not.
\\n\\n\\n\\nTo identify instances of fraud and misconduct during the publishing process, IntechOpen implements a robust policy governing such occurrences. In line with our general commitment to openness, and in order to maintain the highest scientific standards, we are committed to transparency about our editorial policy regarding retractions and corrections.
\\n\\n\\n\\nWhen faced with potential misconduct, IntechOpen accepts its responsibility to maintain the integrity of the academic record. For particularly complex cases, IntechOpen might ask for the assistance of formal industry bodies or seek advice from an appropriate team of advisors.
\\n\\nIntechOpen's advisors are professionals and scholars with broad knowledge and understanding of different aspects of the scientific publishing process: editorial, authorship, and reviewing roles; publication ethics, copyright, and general legal issues; as well as bibliographic and technical standards.
\\n\\nIn order to provide us with unbiased insights, without compromising the privacy of third parties, IntechOpen presents problematic cases to its advisors in an anonymized format.
\\n\\nIntechOpen publishes books in the English language. If you are interested in the translation of Book Chapters, please check IntechOpen's Translation Policy.
\\n\\n\\n\\nIn line with the Principles of Transparency and Best Practice in Scholarly Publishing, you can access a more detailed description of IntechOpen's Advertising Policy.
\\n\\n\\n\\nAt IntechOpen we realize that exceptional circumstances can occur, resulting in a request for a refund. We will honor all justified requests in the specific instances outlined in our Refund Policy.
\\n\\n\\n\\nAll chapters will be published via IntechOpen's 'Online First' service meaning chapters will be published individually, immediately after review and before the entire book is ready for publication, allowing content to be shared, searched and cited straightaway, thereby generating early stage interest and momentum for your research
\\n\\nOnline First Chapters are considered published on the day they are posted and are citable from that date.
\\n\\nChapters will remain listed as Online First until the final versions of the books are published online. Following publication of the full monograph, Chapters will be redirected from the Online First version and will be available only through the final link of the official published page.
\\n\\nYou are invited to download, use, reproduce, make derivative works of, display, distribute and cite the Online First works. You can find "How to Cite and Reference" by following the link at the end of each online book chapter. Please be aware that it is possible that further editing and changes might be made before the final release of the book.
\\n\\nIf there are supplemental materials to the chapter, these will be published at the time the final book is published online.
\\n\\nReaders and Authors can notify us if they find any errors in the works published under Online First. All major errors will be accompanied by a separate correction notice, erratum or corrigendum (Retraction and Correction Policy.)
\\n\\nIntechOpen books are available online by accessing all published content on a chapter level.
\\n\\n\\n\\nIntechOpen publishes different types of publications.
\\n\\n\\n\\n\\n"}]'},components:[{type:"htmlEditorComponent",content:'
All published Book Chapters are licensed under a Creative Commons Attribution 3.0 Unported License. Monographs are licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license granted to all others. Our Copyright Policy aims to guarantee that original material is published while at the same time giving significant freedom to our Authors. IntechOpen upholds a flexible Copyright Policy meaning that there is no copyright transfer to the publisher and Authors hold exclusive copyright to their work.
\n\n\n\nWith the purpose of protecting our Authors' copyright and the transparent reuse of Open Access content, IntechOpen has developed an Attribution Policy for works published under Creative Commons licenses.
\n\n\n\nIntechOpen is committed to disseminating high-quality scientific research in a manner that exemplifies the best practice in scholarly publishing. IntechOpen is an official member of the Committee on Publication Ethics (COPE), which advocates the maintenance of the highest ethical standards for all parties involved in the act of publishing, including Authors, Academic Editors of the book, Peer Reviewers, the publisher and Societies, where applicable.
\n\nIn line with publication ethics practices recommended by COPE, ICMJE, and other similar organizations, IntechOpen's contributing Authors, Academic Editors, and Peer Reviewers are required to declare fully all possible conflicts of interest.
\n\n\n\nIntechOpen's Authorship Policy is based on ICMJE criteria for authorship. In order to be identified as an Author, the following requirements must be met:
\n\nAll scientific works are subject to Peer Review prior to publishing. IntechOpen is a member of the Committee on Publication Ethics (COPE) and all participating referees and Academic Editors are expected to review submitted scientific works in line with the COPE Ethical Guidelines for Peer Reviewers where applicable.
\n\n\n\nThe Internet has changed the dynamics of scholarly communication and publishing which is why we find it necessary to clearly indicate our stance on what we consider to be a published scientific work. A significant number of working papers, early drafts, and similar works in progress are shared openly online between members of the scientific community. It has become common practice for researchers to announce their work on a personal website or a blog in order to gather comments and suggestions from other researchers. Such works and online postings are ‘published’ in the sense that they are made publicly available, but this does not mean that if submitted for publication by IntechOpen they are not original works. We differentiate between reviewed and non-reviewed works when determining whether a work is original and has been published in a scholarly sense or not.
\n\n\n\nTo identify instances of fraud and misconduct during the publishing process, IntechOpen implements a robust policy governing such occurrences. In line with our general commitment to openness, and in order to maintain the highest scientific standards, we are committed to transparency about our editorial policy regarding retractions and corrections.
\n\n\n\nWhen faced with potential misconduct, IntechOpen accepts its responsibility to maintain the integrity of the academic record. For particularly complex cases, IntechOpen might ask for the assistance of formal industry bodies or seek advice from an appropriate team of advisors.
\n\nIntechOpen's advisors are professionals and scholars with broad knowledge and understanding of different aspects of the scientific publishing process: editorial, authorship, and reviewing roles; publication ethics, copyright, and general legal issues; as well as bibliographic and technical standards.
\n\nIn order to provide us with unbiased insights, without compromising the privacy of third parties, IntechOpen presents problematic cases to its advisors in an anonymized format.
\n\nIntechOpen publishes books in the English language. If you are interested in the translation of Book Chapters, please check IntechOpen's Translation Policy.
\n\n\n\nIn line with the Principles of Transparency and Best Practice in Scholarly Publishing, you can access a more detailed description of IntechOpen's Advertising Policy.
\n\n\n\nAt IntechOpen we realize that exceptional circumstances can occur, resulting in a request for a refund. We will honor all justified requests in the specific instances outlined in our Refund Policy.
\n\n\n\nAll chapters will be published via IntechOpen's 'Online First' service meaning chapters will be published individually, immediately after review and before the entire book is ready for publication, allowing content to be shared, searched and cited straightaway, thereby generating early stage interest and momentum for your research
\n\nOnline First Chapters are considered published on the day they are posted and are citable from that date.
\n\nChapters will remain listed as Online First until the final versions of the books are published online. Following publication of the full monograph, Chapters will be redirected from the Online First version and will be available only through the final link of the official published page.
\n\nYou are invited to download, use, reproduce, make derivative works of, display, distribute and cite the Online First works. You can find "How to Cite and Reference" by following the link at the end of each online book chapter. Please be aware that it is possible that further editing and changes might be made before the final release of the book.
\n\nIf there are supplemental materials to the chapter, these will be published at the time the final book is published online.
\n\nReaders and Authors can notify us if they find any errors in the works published under Online First. All major errors will be accompanied by a separate correction notice, erratum or corrigendum (Retraction and Correction Policy.)
\n\nIntechOpen books are available online by accessing all published content on a chapter level.
\n\n\n\nIntechOpen publishes different types of publications.
\n\n\n\n\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{mdrv:"www.intechopen.com"},profiles:[{id:"396",title:"Dr.",name:"Vedran",middleName:null,surname:"Kordic",slug:"vedran-kordic",fullName:"Vedran Kordic",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/396/images/7281_n.png",biography:"After obtaining his Master's degree in Mechanical Engineering he continued his education at the Vienna University of Technology where he obtained his PhD degree in 2004. He worked as a researcher at the Automation and Control Institute, Faculty of Electrical Engineering, Vienna University of Technology until 2008. His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. 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After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. 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Among these heavy metals, a few have direct or indirect impact on the human body. Some of these heavy metals such as copper, cobalt, iron, nickel, magnesium, molybdenum, chromium, selenium, manganese and zinc have functional roles which are essential for various diverse physiological and biochemical activities in the body. However, some of these heavy metals in high doses can be harmful to the body while others such as cadmium, mercury, lead, chromium, silver, and arsenic in minute quantities have delirious effects in the body causing acute and chronic toxicities in humans. The focus of this chapter is to describe the various mechanism of intoxication of some selected heavy metals in humans along with their health effects. Therefore it aims to highlight on biochemical mechanisms of heavy metal intoxication which involves binding to proteins and enzymes, altering their activity and causing damage. 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Unachukwu",authors:[{id:"241837",title:"Mr.",name:"Godwill Azeh",middleName:null,surname:"Engwa",slug:"godwill-azeh-engwa",fullName:"Godwill Azeh Engwa"},{id:"274194",title:"BSc.",name:"Paschaline Ferdinand",middleName:null,surname:"Okeke",slug:"paschaline-ferdinand-okeke",fullName:"Paschaline Ferdinand Okeke"},{id:"286975",title:"Dr.",name:"Friday",middleName:null,surname:"Nweke Nwalo",slug:"friday-nweke-nwalo",fullName:"Friday Nweke Nwalo"},{id:"286976",title:"Dr.",name:"Marian",middleName:null,surname:"Unachukwu",slug:"marian-unachukwu",fullName:"Marian Unachukwu"}]},{id:"27687",doi:"10.5772/29869",title:"Heavy Metals and Human Health",slug:"heavy-metals-and-human-health",totalDownloads:18954,totalCrossrefCites:83,totalDimensionsCites:191,abstract:null,book:{id:"1012",slug:"environmental-health-emerging-issues-and-practice",title:"Environmental Health",fullTitle:"Environmental Health - Emerging Issues and Practice"},signatures:"Simone Morais, Fernando Garcia e Costa and Maria de Lourdes Pereira",authors:[{id:"13875",title:"Prof.",name:"Simone",middleName:null,surname:"Morais",slug:"simone-morais",fullName:"Simone Morais"},{id:"79715",title:"Prof.",name:"Maria De Lourdes",middleName:null,surname:"Pereira",slug:"maria-de-lourdes-pereira",fullName:"Maria De Lourdes Pereira"},{id:"87294",title:"Prof.",name:"Fernando",middleName:null,surname:"Garcia E Costa",slug:"fernando-garcia-e-costa",fullName:"Fernando Garcia E Costa"}]}],mostDownloadedChaptersLast30Days:[{id:"64851",title:"Herbal Medicines in African Traditional Medicine",slug:"herbal-medicines-in-african-traditional-medicine",totalDownloads:14207,totalCrossrefCites:30,totalDimensionsCites:52,abstract:"African traditional medicine is a form of holistic health care system organized into three levels of specialty, namely divination, spiritualism, and herbalism. The traditional healer provides health care services based on culture, religious background, knowledge, attitudes, and beliefs that are prevalent in his community. Illness is regarded as having both natural and supernatural causes and thus must be treated by both physical and spiritual means, using divination, incantations, animal sacrifice, exorcism, and herbs. Herbal medicine is the cornerstone of traditional medicine but may include minerals and animal parts. The adjustment is ok, but may be replaced with –‘ Herbal medicine was once termed primitive by western medicine but through scientific investigations there is a better understanding of its therapeutic activities such that many pharmaceuticals have been modeled on phytochemicals derived from it. Major obstacles to the use of African medicinal plants are their poor quality control and safety. Traditional medical practices are still shrouded with much secrecy, with few reports or documentations of adverse reactions. However, the future of African traditional medicine is bright if viewed in the context of service provision, increase of health care coverage, economic potential, and poverty reduction. Formal recognition and integration of traditional medicine into conventional medicine will hold much promise for the future.",book:{id:"6302",slug:"herbal-medicine",title:"Herbal Medicine",fullTitle:"Herbal Medicine"},signatures:"Ezekwesili-Ofili Josephine Ozioma and Okaka Antoinette Nwamaka\nChinwe",authors:[{id:"191264",title:"Prof.",name:"Josephine",middleName:"Ozioma",surname:"Ezekwesili-Ofili",slug:"josephine-ezekwesili-ofili",fullName:"Josephine Ezekwesili-Ofili"},{id:"211585",title:"Prof.",name:"Antoinette",middleName:null,surname:"Okaka",slug:"antoinette-okaka",fullName:"Antoinette Okaka"}]},{id:"76640",title:"Control of Clinical Laboratory Errors by FMEA Model",slug:"control-of-clinical-laboratory-errors-by-fmea-model",totalDownloads:1131,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Patient safety is an aim for clinical applications and is a fundamental principle of healthcare and quality management. The main global health organizations have incorporated patient safety in their review of work practices. The data provided by the medical laboratories have a direct impact on patient safety and a fault in any of processes such as strategic, operational and support, could affect it. To provide appreciate and reliable data to the physicians, it is important to emphasize the need to design risk management plan in the laboratory. Failure Mode and Effect Analysis (FMEA) is an efficient technique for error detection and reduction. Technical Committee of the International Organization for Standardization (ISO) licensed a technical specification for medical laboratories suggesting FMEA as a method for prospective risk analysis of high-risk processes. FMEA model helps to identify quality failures, their effects and risks with their reduction/elimination, which depends on severity, probability and detection. Applying FMEA in clinical approaches can lead to a significant reduction of the risk priority number (RPN).",book:{id:"9808",slug:"contemporary-topics-in-patient-safety-volume-1",title:"Contemporary Topics in Patient Safety",fullTitle:"Contemporary Topics in Patient Safety - Volume 1"},signatures:"Hoda Sabati, Amin Mohsenzadeh and Nooshin Khelghati",authors:[{id:"340486",title:"M.Sc.",name:"Hoda",middleName:null,surname:"Sabati",slug:"hoda-sabati",fullName:"Hoda Sabati"},{id:"348872",title:"M.Sc.",name:"Amin",middleName:null,surname:"Mohsenzadeh",slug:"amin-mohsenzadeh",fullName:"Amin Mohsenzadeh"},{id:"348874",title:"MSc.",name:"Nooshin",middleName:null,surname:"Khelghati",slug:"nooshin-khelghati",fullName:"Nooshin Khelghati"}]},{id:"64762",title:"Mechanism and Health Effects of Heavy Metal Toxicity in Humans",slug:"mechanism-and-health-effects-of-heavy-metal-toxicity-in-humans",totalDownloads:10236,totalCrossrefCites:100,totalDimensionsCites:229,abstract:"Several heavy metals are found naturally in the earth crust and are exploited for various industrial and economic purposes. Among these heavy metals, a few have direct or indirect impact on the human body. Some of these heavy metals such as copper, cobalt, iron, nickel, magnesium, molybdenum, chromium, selenium, manganese and zinc have functional roles which are essential for various diverse physiological and biochemical activities in the body. However, some of these heavy metals in high doses can be harmful to the body while others such as cadmium, mercury, lead, chromium, silver, and arsenic in minute quantities have delirious effects in the body causing acute and chronic toxicities in humans. The focus of this chapter is to describe the various mechanism of intoxication of some selected heavy metals in humans along with their health effects. Therefore it aims to highlight on biochemical mechanisms of heavy metal intoxication which involves binding to proteins and enzymes, altering their activity and causing damage. More so, the mechanism by which heavy metals cause neurotoxicity, generate free radical which promotes oxidative stress damaging lipids, proteins and DNA molecules and how these free radicals propagate carcinogenesis are discussed. Alongside these mechanisms, the noxious health effects of these heavy metals are discussed.",book:{id:"7111",slug:"poisoning-in-the-modern-world-new-tricks-for-an-old-dog-",title:"Poisoning in the Modern World",fullTitle:"Poisoning in the Modern World - New Tricks for an Old Dog?"},signatures:"Godwill Azeh Engwa, Paschaline Udoka Ferdinand, Friday Nweke Nwalo and Marian N. Unachukwu",authors:[{id:"241837",title:"Mr.",name:"Godwill Azeh",middleName:null,surname:"Engwa",slug:"godwill-azeh-engwa",fullName:"Godwill Azeh Engwa"},{id:"274194",title:"BSc.",name:"Paschaline Ferdinand",middleName:null,surname:"Okeke",slug:"paschaline-ferdinand-okeke",fullName:"Paschaline Ferdinand Okeke"},{id:"286975",title:"Dr.",name:"Friday",middleName:null,surname:"Nweke Nwalo",slug:"friday-nweke-nwalo",fullName:"Friday Nweke Nwalo"},{id:"286976",title:"Dr.",name:"Marian",middleName:null,surname:"Unachukwu",slug:"marian-unachukwu",fullName:"Marian Unachukwu"}]},{id:"65467",title:"Anesthesia Management for Large-Volume Liposuction",slug:"anesthesia-management-for-large-volume-liposuction",totalDownloads:5965,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The apparent easiness with which liposuction is performed favors that patients, young surgeons, and anesthesiologists without experience in this field ignore the many events that occur during this procedure. Liposuction is a procedure to improve the body contour and not a surgery to reduce weight, although recently people who have failed in their plans to lose weight look at liposuction as a means to contour their body figure. Tumescent liposuction of large volumes requires a meticulous selection of each patient; their preoperative evaluation and perioperative management are essential to obtain the expected results. The various techniques of general anesthesia are the most recommended and should be monitored in the usual way, as well as monitoring the total doses of infiltrated local anesthetics to avoid systemic toxicity. The management of intravenous fluids is controversial, but the current trend is the restricted use of hydrosaline solutions. The most feared complications are deep vein thrombosis, pulmonary thromboembolism, fat embolism, lung edema, hypothermia, infections and even death. The adherence to the management guidelines and prophylaxis of venous thrombosis/thromboembolism is mandatory.",book:{id:"6221",slug:"anesthesia-topics-for-plastic-and-reconstructive-surgery",title:"Anesthesia Topics for Plastic and Reconstructive Surgery",fullTitle:"Anesthesia Topics for Plastic and Reconstructive Surgery"},signatures:"Sergio Granados-Tinajero, Carlos Buenrostro-Vásquez, Cecilia\nCárdenas-Maytorena and Marcela Contreras-López",authors:[{id:"273532",title:"Dr.",name:"Sergio Octavio",middleName:null,surname:"Granados Tinajero",slug:"sergio-octavio-granados-tinajero",fullName:"Sergio Octavio Granados Tinajero"}]},{id:"30178",title:"Chest Mobilization Techniques for Improving Ventilation and Gas Exchange in Chronic Lung Disease",slug:"chest-mobilization-techniques-for-improving-ventilation-and-gas-exchange-in-chronic-lung-disease",totalDownloads:31193,totalCrossrefCites:0,totalDimensionsCites:5,abstract:null,book:{id:"648",slug:"chronic-obstructive-pulmonary-disease-current-concepts-and-practice",title:"Chronic Obstructive Pulmonary Disease",fullTitle:"Chronic Obstructive Pulmonary Disease - Current Concepts and Practice"},signatures:"Donrawee Leelarungrayub",authors:[{id:"73709",title:"Associate Prof.",name:"Jirakrit",middleName:null,surname:"Leelarungrayub",slug:"jirakrit-leelarungrayub",fullName:"Jirakrit Leelarungrayub"}]}],onlineFirstChaptersFilter:{topicId:"3",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81607",title:"Does Physical Activity Mediate the Effect of Loneliness on Inflammatory and Metabolic Processes?",slug:"does-physical-activity-mediate-the-effect-of-loneliness-on-inflammatory-and-metabolic-processes",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.104915",abstract:"The study to be presented in the chapter explores one potential behavioral mechanism by which loneliness affects inflammatory and metabolic processes in old age. Specifically, it addresses whether physical activity mediates the loneliness—inflammatory/metabolic dysregulation association. Multivariate linear regressions were applied to data derived from the Health and Retirement Study (HRS). The findings revealed that loneliness was prospectively associated with elevated values of log C-reactive protein (log-CRP) and with amplified levels of Glycated hemoglobin (HbA1c), Cystatin C (CysC), and Body Mass Index (BMI), after controlling for socio-demographics. Second, physical activity mediated the association between loneliness with prospective values of log-CRP and also mediated associations between loneliness and prospective levels of metabolic biomarkers. These findings affirm the contribution (i.e., the mediation), of physical activity to the associations between loneliness and immune and metabolic processes and provide insights concerning the mechanism by which this social—biological connection operates.",book:{id:"11226",title:"Geriatric Medicine and Healthy Aging",coverURL:"https://cdn.intechopen.com/books/images_new/11226.jpg"},signatures:"Sharon Shiovitz-Ezra, Ohad Parag and Howard Litwin"},{id:"81961",title:"Antioxidants as an Adjuncts to Periodontal Therapy",slug:"antioxidants-as-an-adjuncts-to-periodontal-therapy",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.105016",abstract:"It has been established that periodontal diseases are related with the hyperactivity of neutrophils. Reactive oxygen species are produced mainly by neutrophils. In order to maintain the balance with reactive oxygen species, the need for antioxidants is increasing. As for supplements to the conventional periodontal therapy, different antioxidants have been applied in an attempt to provide new possibilities in the periodontal treatment. This chapter focused on recent studies that used different antioxidants as adjuncts to conventional periodontal treatments.",book:{id:"11567",title:"Dental Trauma",coverURL:"https://cdn.intechopen.com/books/images_new/11567.jpg"},signatures:"Sura Dakhil Jassim and Ali Abbas Abdulkareem"},{id:"82345",title:"Cannabis Medicines: Guidance for the Selection, Purchase and Supply for Clinical Trials",slug:"cannabis-medicines-guidance-for-the-selection-purchase-and-supply-for-clinical-trials",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.105682",abstract:"Cannabis medicines are in demand from the public for treating a range of diseases and symptoms; however, clinicians are reluctant to prescribe these products because of limited evidence and prescribing information. To generate this evidence, quality clinical trials of cannabis medicines must be undertaken, yet their design is a complex, often uncharted territory, and involves the cooperation and sharing of knowledge of multiple stakeholders. Before designing a clinical trial, researchers require a clear understanding of the potential therapeutic benefit cannabis medicines may have, the form and formulation of the product, and the dose to be investigated. Researchers must also be aware of the applicable pharmaceutical regulations in the country or jurisdiction where the research is to be undertaken, as well as manufacturing or licensing regulations that may be imposed at the source of the cannabis product. Importantly, collaborations with industry are a key to the successful outcome of cannabis medicines clinical trials. Without funding and sponsorship of clinical trials, the ability to generate quality data will be limited and the evidence for cannabis medicines to be registered as therapeutics lacking. Collaborations between researchers, industry, and regulators, working together in sharing knowledge, are therefore critical to generate high quality cannabis medicines research.",book:{id:"11714",title:"Cannabinoids - Recent Perspectives and Applications in Human Health",coverURL:"https://cdn.intechopen.com/books/images_new/11714.jpg"},signatures:"Peter Galettis, John Barlow, Jaroslav Boublik, Stefania Capra, Rachel Galettis, Myfanwy Graham, Courtney Hill, Paul Mavor, Jasminka Nikolajevic-Sarunac, Rosemary Richards, Janet Schloss, Melinda Thompson, Linda Truong, Berzenn Urbi, Katrina Weston-Green and Aaron K. Wong"},{id:"82444",title:"Epigenomics in Malignant Pleural Mesothelioma",slug:"epigenomics-in-malignant-pleural-mesothelioma",totalDownloads:16,totalDimensionsCites:0,doi:"10.5772/intechopen.105408",abstract:"Malignant pleural mesothelioma (MPM) is a tumor with a relatively low incidence, but whose carcinogenesis, for the most part, involves epigenetic factors that keep its heterogeneity and sometimes are a therapeutic target or an obstacle to the effectiveness of the newest treatments. This chapter summarizes the principal epigenetic dysregulation mechanisms involved in the MPM pathogenesis. The most studied mechanism is hypermethylation mediated by DNA methyltransferases (DNMTs) in different tumor suppressor genes, and the relation with asbestos fiber exposure, which represents the main risk factor. Physiopathology is related to chronic inflammation mediated by free radicals that produce chromosomal alterations, genomic instability, increased angiogenesis, and tumor invasion factors like EGFR, FGFR, TGF-B, and PDGF. Additionally, independent methylation pathways that produce gene silencing such as polycomb complex and SWI/SNF mutation are reviewed. Finally, other mechanisms are described such as hypomethylation with imprint loss and pro-oncogenic gene activation that induce immunological responses, as well as acetylation, deacetylation, and demethylation in the chromatin and histone context.",book:{id:"10831",title:"Mesothelioma - Diagnostics, Treatment and Basic Research",coverURL:"https://cdn.intechopen.com/books/images_new/10831.jpg"},signatures:"Aldo Manuel Alvarez Moran, Pablo Alejandro Ávila Sánchez, Jorge Alejandro Torres Ríos and Lorena Vega Castillo"},{id:"82383",title:"The Role of Immune Checkpoints in Cancer Progression",slug:"the-role-of-immune-checkpoints-in-cancer-progression",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.105628",abstract:"Immune checkpoint proteins are like two-faced swords that first act as gatekeepers of the immune system to protect the host from tissue damage. In contrast, these proteins can corroborate cancer progression by inhibiting tumor-specific immune responses. Here, we summarized the regulation and signaling cascade of immune checkpoints molecules (PD-1/PD-L1, CTLA-4, TIM3, TIGIT, LAG3, and BTLA), including their role in providing co-inhibitory signals for regulating T-cell response. The involvement of immune checkpoint molecules to drive cancer growth is elaborated with explanations about various anticancer strategies, such as (1) the overexpression of immune checkpoints in cancer cells, immune cells, or the surrounding environment leading to incapabilities of the tumor-specific immune response, (2) immune checkpoints interference to metabolic pathways then deplete nutrients needed by immune cells, (3) the interaction between immune checkpoints and regulatory T cells. Lastly, future challenges of immune checkpoint inhibitors are discussed briefly to get insight into their applicability in the clinical setting.",book:{id:"11278",title:"Regulatory T Cells",coverURL:"https://cdn.intechopen.com/books/images_new/11278.jpg"},signatures:"Rahmad Aji Prasetya and Devyani Diah Wulansari"},{id:"82331",title:"Diseases of Medicinal Plants Cultivated in Karnataka and Their Management",slug:"diseases-of-medicinal-plants-cultivated-in-karnataka-and-their-management",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.104632",abstract:"A broad spectrum of fungal diseases infecting selected 10 medicinal plants surveyed in Karnataka, India, was studied in the present research. We present a detailed review on previously reported as well as our present investigation’s details of fungal diseases, etiology, symptoms, and its management. Some of the commonly observed diseases are Anthracnose disease, Blight disease, Leaf spot, Root rot, Powdery mildew, Downy mildew, and Wilt disease. The detailed analysis of medicinal plants revealed that the medicinal plants are susceptible to diverse fungal phytopathogens. Therefore, sustainable management of the diseases is necessary for the successful cultivation of disease-free medicinal plants.",book:{id:"11299",title:"Medicinal Plants",coverURL:"https://cdn.intechopen.com/books/images_new/11299.jpg"},signatures:"P. Swetha and R. Sundararaj"}],onlineFirstChaptersTotal:797},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"23",title:"Education and Human Development",doi:"10.5772/intechopen.100360",issn:null,scope:"
\r\n\tEducation and Human Development is an interdisciplinary research area that aims to shed light on topics related to both learning and development. This Series is intended for researchers, practitioners, and students who are interested in understanding more about these fields and their applications.
",coverUrl:"https://cdn.intechopen.com/series/covers/23.jpg",latestPublicationDate:"June 25th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:0,editor:{id:"280770",title:"Dr.",name:"Katherine K.M.",middleName:null,surname:"Stavropoulos",slug:"katherine-k.m.-stavropoulos",fullName:"Katherine K.M. Stavropoulos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRdFuQAK/Profile_Picture_2022-05-24T09:03:48.jpg",biography:"Katherine Stavropoulos received her BA in Psychology from Trinity College, in Connecticut, USA. Dr. Stavropoulos received her Ph.D. in Experimental Psychology from the University of California, San Diego. She completed her postdoctoral work at the Yale Child Study Center with Dr. James McPartland. Dr. Stavropoulos’ doctoral dissertation explored neural correlates of reward anticipation to social versus nonsocial stimuli in children with and without autism spectrum disorders (ASD). She has been a faculty member at the University of California, Riverside in the School of Education since 2016. Her research focuses on translational studies to explore the reward system in ASD, as well as how anxiety contributes to social challenges in ASD. She also investigates how behavioral interventions affect neural activity, behavior, and school performance in children with ASD. She is also involved in the diagnosis of children with ASD and is a licensed clinical psychologist in California. She is the Assistant Director of the SEARCH Center at UCR and is a Faculty member in the Graduate Program in Neuroscience.",institutionString:null,institution:{name:"University of California, Riverside",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:2,paginationItems:[{id:"89",title:"Education",coverUrl:"https://cdn.intechopen.com/series_topics/covers/89.jpg",isOpenForSubmission:!1,editor:{id:"260066",title:"Associate Prof.",name:"Michail",middleName:null,surname:"Kalogiannakis",slug:"michail-kalogiannakis",fullName:"Michail Kalogiannakis",profilePictureURL:"https://mts.intechopen.com/storage/users/260066/images/system/260066.jpg",biography:"Michail Kalogiannakis is an Associate Professor of the Department of Preschool Education, University of Crete, and an Associate Tutor at School of Humanities at the Hellenic Open University. He graduated from the Physics Department of the University of Crete and continued his post-graduate studies at the University Paris 7-Denis Diderot (D.E.A. in Didactic of Physics), University Paris 5-René Descartes-Sorbonne (D.E.A. in Science Education) and received his Ph.D. degree at the University Paris 5-René Descartes-Sorbonne (PhD in Science Education). His research interests include science education in early childhood, science teaching and learning, e-learning, the use of ICT in science education, games simulations, and mobile learning. He has published over 120 articles in international conferences and journals and has served on the program committees of numerous international conferences.",institutionString:"University of Crete",institution:{name:"University of Crete",institutionURL:null,country:{name:"Greece"}}},editorTwo:{id:"422488",title:"Dr.",name:"Maria",middleName:null,surname:"Ampartzaki",slug:"maria-ampartzaki",fullName:"Maria Ampartzaki",profilePictureURL:"https://mts.intechopen.com/storage/users/422488/images/system/422488.jpg",biography:"Dr Maria Ampartzaki is an Assistant Professor in Early Childhood Education in the Department of Preschool Education at the University of Crete. Her research interests include ICT in education, science education in the early years, inquiry-based and art-based learning, teachers’ professional development, action research, and the Pedagogy of Multiliteracies, among others. She has run and participated in several funded and non-funded projects on the teaching of Science, Social Sciences, and ICT in education. She also has the experience of participating in five Erasmus+ projects.",institutionString:"University of Crete",institution:{name:"University of Crete",institutionURL:null,country:{name:"Greece"}}},editorThree:null},{id:"90",title:"Human Development",coverUrl:"https://cdn.intechopen.com/series_topics/covers/90.jpg",isOpenForSubmission:!0,editor:{id:"191040",title:"Dr.",name:"Tal",middleName:null,surname:"Dotan Ben-Soussan",slug:"tal-dotan-ben-soussan",fullName:"Tal Dotan Ben-Soussan",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBf1QAG/Profile_Picture_2022-03-18T07:56:11.jpg",biography:"Tal Dotan Ben-Soussan, Ph.D., is the director of the Research Institute for Neuroscience, Education and Didactics (RINED) – Paoletti Foundation. Ben-Soussan leads international studies on training and neuroplasticity from neurophysiological and psychobiological perspectives. As a neuroscientist and bio-psychologist, she has published numerous articles on neuroplasticity, movement and meditation. She acts as an editor and reviewer in several renowned journals and coordinates international conferences integrating theoretical, methodological and practical approaches on various topics, such as silence, logics and neuro-education. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. 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Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}}]}},subseries:{item:{id:"10",type:"subseries",title:"Animal Physiology",keywords:"Physiology, Comparative, Evolution, Biomolecules, Organ, Homeostasis, Anatomy, Pathology, Medical, Cell Division, Cell Signaling, Cell Growth, Cell Metabolism, Endocrine, Neuroscience, Cardiovascular, Development, Aging, Development",scope:"Physiology, the scientific study of functions and mechanisms of living systems, is an essential area of research in its own right, but also in relation to medicine and health sciences. The scope of this topic will range from molecular, biochemical, cellular, and physiological processes in all animal species. Work pertaining to the whole organism, organ systems, individual organs and tissues, cells, and biomolecules will be included. Medical, animal, cell, and comparative physiology and allied fields such as anatomy, histology, and pathology with physiology links will be covered in this topic. 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