Potential parameters for
\r\n\t
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Dr. Yu is a holder of 90 journal papers, with an h index of 21, is a member of A& WA (USA) and AAAR (USA), and is the holder of 24 registered patents.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"188972",title:"Prof.",name:"Mingzhou",middleName:null,surname:"Yu",slug:"mingzhou-yu",fullName:"Mingzhou Yu",profilePictureURL:"https://mts.intechopen.com/storage/users/188972/images/system/188972.jpg",biography:"Mingzhou Yu is now a Professor at China Jiliang University and a Guest Professor at Key Laboratory of Aerosol Chemistry and Physics, Chinese Academy of Science. He received his PhD degree from Zhejiang University in 2008 with the major fluid mechanism. During the time period between 2009 and 2012, he moved to Karlsruhe Institute of Technology, Germany, as a Alexander von Humboldt researcher where he worked with Prof. Gerhard Kasper and Dr. Martin Seipenbusch. Since 2013, he joined Prof. Junji Cao's research group as a guest Professor at Key Laboratory of Aerosol Chemistry and Physics, Chinese Academy of Science. During the time period between 2013 and 2016, he worked in The Hongkong Polytechnic University and Universidad Autónoma de Madrid, Spain, as a research associate or postdoc researcher. He is now leading a Aerosol Science and Technology Laboratory supported by Zhejiang Special Provincial Support in CJLU. He has published more than 90 cited articles and five books (or chapters).",institutionString:"China Jiliang University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"China Jiliang University",institutionURL:null,country:{name:"China"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"20",title:"Physics",slug:"physics"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"418965",firstName:"Nera",lastName:"Butigan",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/418965/images/16899_n.jpg",email:"nera@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors.\nFrom chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. 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Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"8356",title:"Metastable, Spintronics Materials and Mechanics of Deformable Bodies",subtitle:"Recent Progress",isOpenForSubmission:!1,hash:"1550f1986ce9bcc0db87d407a8b47078",slug:"solid-state-physics-metastable-spintronics-materials-and-mechanics-of-deformable-bodies-recent-progress",bookSignature:"Subbarayan Sivasankaran, Pramoda Kumar Nayak and Ezgi Günay",coverURL:"https://cdn.intechopen.com/books/images_new/8356.jpg",editedByType:"Edited by",editors:[{id:"190989",title:"Dr.",name:"Subbarayan",surname:"Sivasankaran",slug:"subbarayan-sivasankaran",fullName:"Subbarayan Sivasankaran"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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Therefore, theoretical EOS for further experiments or evaluation is inevitable. In spite of other efficient methods of calculation such as integral equations and computer simulations, we have used perturbation theory because of its extensive qualities. Moreover, other methods are more time consuming than perturbation theories. When one wants to deal with realistic intermolecular interactions, the problem of deriving the thermodynamic and structural properties of the system becomes rather formidable. Thus, perturbation theories of liquid have been devised since the mid-20th century. Thermodynamic perturbation theory offers a molecular, as opposed to continuum approach to the prediction of fluid thermodynamic properties. Although, perturbation predictions are not expected to rival those of advanced integral-equations or large scale computer simulations methods, they are far more numerically efficient than the latter approaches and often produced comparably accurate results.
Dealing with light species such as
Furthermore, for this fluid mixture, the quantum effect has been exerted in terms of first order quantum mechanical correction term in the Wigner-Kirkwood expansion. This term by generalizing the Wigner-Kirkwood correction for one component fluid to binary mixture produce acceptable results in comparison with simulation and other experimental data. Since utilizing Wigner-Kirkwood expansion in temperatures below 50 K bears diverges, we preferred to restrict our investigations in ranges above those temperatures from 50 to 4000 degrees. In these regions our calculations provide more acceptable results in comparison with other studies.
This term make a negligible contribution under high temperatures conditions. Taking into account various contributions, we have utilized an improved version of the equation of state to study the Helmholtz free energy
The first section is dedicated to a brief description of Wigner expansion which leads to derivation of first quantum correction term in free energy. With the intention of describing effects of quantum correction term we have explained theoretical method of our calculations in the frame work of statistical perturbation theory of free energy in section two. In section three we have depicted diagrams resulted from our theoretical evaluations and gave a brief explanation for them. In section four we have focused on the description of our calculations and its usages in different areas. Finally, some applications of this study have been introduced in the last section.
Considering quantum system of
Where,
To have an analytical equation for quantum effects in fluid we must derive partition function of it. In approximating partition function we need to evaluate Boltzmann density. Consequently having an expansion of quantum correction terms it is necessary to expand Boltzmann density. Considering system of
Where
Via integrating equation 2 in respect to
Let us introduce following definition
That
One can expand
And then we can find that
So we have expanded series in
and finally integrating on the momentum variables
where
Integrating Boltzmann density ignoring exchange effects over configuration space will result in partition function of fluids mixture.
Substituting the
For expressing macroscopic physical quantities, one defines the quantum average of a function
At the one-particle level, one introduces the particle density
At the two-particle level, the two-body density is given by
And the pair distribution function
The classical partition function and the classical average of a function
Consequently with the definition of equation 19 one can derive below equation for
Since we have
Generalizing to multi-component system we have [8]
In this chapter the two formula which use RDF, we will encounter below integral equation that need expansion.
On the right side of above equation from the right in the first equation we approximate distribution function with its values at contact points. This choice has been resulted from the behavior of molecules of which their repulsive interactions dominate their attractive potential. However, for the second term (
Substituting above equation in
Where
That indicates inverse Laplace of
Therefore, Using Laplace transform of RDF
The derivation of the thermodynamic and structural properties of a fluid system becomes a rather difficult problem when one wants to deal with realistic intermolecular interactions. For that reason, since the mid-20th century, simplifying attempts to (approximately) solve this problem have been devised, among which the perturbation theories of liquids have played a prominent role [10]. In this instance, the key idea is to express the actual potential in terms of a reference potential (that in terms of Ross perturbation theory Helmholtz free energy is expressed as of the “unperturbed” system) plus a correction term. This in turn implies that the thermodynamic and structural properties of the real system may be expressed in terms of those of the reference system which, of course, should be known. In the case of two component fluids, a natural choice for the reference system is the hard-sphere fluid, even for this simple system the thermodynamic and structural properties are known only approximately. Let us now consider a system defined by a pair interaction potential
The terms respectively are perturbation, Quantum, hard convex body and ideal terms. Perturbation term due to long range attraction of potential is given by [10]
Via Laplace transform of RDF (
Where
Non-sphericity parameter
The correction term due to nonadditivity of the hard sphere diameter is the first order perturbation correction [14]
In Eq. (41),
The ideal free energy with
Compressibility factor of ideal term is one and
For the perturbation term due to long rage attraction of potential tail employing (44) we will have
Numerical integration has been used for calculation of
Summation over compressibility factors gives the total pressure of mixture
Defining Gibbs free energy provides information at critical points of phase stability diagram. Concavity and convexity of Gibbs diagram indicates if mixture is in one phase or not,
Furthermore, Gibbs excess free energy is an appropriate measure in the definition of phase stability. Negative values for this energy describe stable state. This is expressed as
That
Compairing this equation with
It is convenient to consider interacting potential with short-range sharply repulsive and longer-range attractive tail and treat them within a combined potential. The most practical method for the repulsive term of potential is the hard-sphere model with the benefit of preventing particles overlap. Furthermore, attractive or repulsive tails may be included using a perturbation theory. It is incontrovertible to generalize this potential to multi-component mixtures. This behavior is conveyed in double Yukawa (DY) potential which provides accurate thermodynamic properties of fluid in low temperatures and high density [18, 19]. At first we define DY potential as its effects on pressure of
\n\t\t\t | |||
2.634 | \n2.970 | \n2.978 | \n|
2.548 | \n2.801 | \n3.179 | \n|
10.57 | \n15.50 | \n36.40 | \n|
3.336 | \n3.386 | \n3.211 | \n|
12.204 | \n10.954 | \n9.083 | \n
Potential parameters for
For the atomic and molecular fluids studies in this mixture, these particles interact via a exponential six (exp-6) or Double Yukawa (DY) potential energy function [20]. The fluids considered in this work are binary mixtures that their constituents are spherical particles of two species,
So we consider two-component fluid interacting via Buckingham potential
In view of the energy equation (32), one can readily obtain equation for total pressure and different contributions to pressure from standard derivation of respective Helmholtz free energy. By the exp-6 potential, we have computed the Helmholtz free energy. The ten-point Gausses quadrature has been used to calculate integrals in quantum correction and perturbation contribution. The calculated pressure for
\n\t\t | |||
13.10 | \n12.7 | \n11.1 | \n|
10.80 | \n15.50 | \n36.40 | \n|
0.29673 | \n0.337 | \n0.343 | \n
Potential parameters for
Different contributions of pressure as a function of reduced density for
For helium-hydrogen mixtures different parts of pressure due to correction terms and ideal parts have been showed in figure 2 at
Different contribution of correction terms on pressure of helium-hydrogen mixture at T=100, che=0.5 vs. reduce density
Gibbs excess free energy which is a measure for indicating phase stability of matters has been depicted in figure 3. Stability is limited to the areas that Gibbs excess free energy tends to negative values. This figure explains that stability rages for helium-hydrogen mixture at room temperature is confide in the boundaries in which helium concentration is less than 0.1.
Gibbs excess free energy for helium-hydrogen mixture
Table 3 presents a comparison between results of pressure from this work using DY potential in place of exp-6, Monte–Carlo simulations and additionally study of reference [23] Obviously, there are appreciable adaption among our investigation results and MC which proves validity of our calculations. As Table 3, exhibits in low temperatures DY potential have more consistent results in comparison with exp-6. However, values of pressure extracted using DY potential cannot adjust with simulation resembling exp-6. Moreover, at higher temperatures after
300 | \n\t0.25 | \n\t1.101 | \n\t0.433 | \n\t2.3090 | \n\t2.7039 | \n\t1.9664 | \n\t2.8678 | \n
300 | \n\t0.5 | \n\t1.101 | \n\t0.400 | \n\t1.8560 | \n\t1.7001 | \n\t1.5729 | \n\t1.8402 | \n
300 | \n\t0.75 | \n\t1.101 | \n\t0.367 | \n\t1.4240 | \n\t1.2816 | \n\t1.3160 | \n\t1.3887 | \n
1000 | \n\t0.5 | \n\t1.223 | \n\t0.335 | \n\t4.5100 | \n\t4.4205 | \n\t4.1094 | \n\t4.9406 | \n
1000 | \n\t0.75 | \n\t1.223 | \n\t0.307 | \n\t3.7150 | \n\t3.5190 | \n\t3.5904 | \n\t3.9328 | \n
4000 | \n\t0.5 | \n\t1.376 | \n\t0.247 | \n\t12.4300 | \n\t12.0832 | \n\t12.1014 | \n\t14.154 | \n
4000 | \n\t0.5 | \n\t1.572 | \n\t0.282 | \n\t16.3300 | \n\t16.4485 | \n\t16.4720 | \n\t19.859 | \n
Comparision of efect of DY and EXP-6 potential on pressure of mixture in che=0.5, T=300 vs. Reduced density
Providing evidence of gradual divergence of DY and exp-6 potentials, a comparative figure has been made in figure 4 for helium-hydrogen mixtures. This figure shows more steepening effects of DY on total pressure of this mixture. Both potentials engender increase in pressure, except that, Buckingham affects moderately on pressure increase. The exp-6’s more steady behavior makes it adjustable with previous studies and MC simulation.
In figures 5, 6, 7, 8 we tried to give information about effects of quantum correction term on total pressure of helium-hydrogen and deuterium-tritium mixtures at the high reduced density of 1.3. This correction term has been plotted in 3-dimensional diagram in figure 5. This term is approximately zero for temperatures higher than 200 (K). Figure 6 represents that for hydrogen rich mixture at low temperature due to quantum effects pressure rise is significant. For effectual discussion on the effects of this term we have described
Pressure of quantum correction term at
Total pressure from 50 K at
Fraction of quantum perturbation term to total pressure for helium-hydrogen mixture.
Fraction of quantum perturbation term to total pressure for Deuterium-Tritium mixture.
An Equation of state of hydrogen–helium mixture has been studied up to 90G (pa) pressure and temperature equal to 4000◦K. We have used perturbation theory as an adequate theory for describing EOS of fluid mixtures. As well, by using this theory we can add extra distributive terms as perturb part which makes it more applicable than other theories. Considering this advantage, we can spread it out with additional terms for investigation on other states of matter like plasma in the direction of compares with experimental data. Otherwise, using simulation methods, for evaluating our theoretical results. Such as ab initio simulations with the code VASP,[25] which combines classical molecular dynamics simulation for the ions with electrons, behave in quantum mechanical system by means of finite temperature density functional theory [26]. In this chapter, two potentials have been presented, which we have used them for hydrogen isotopes and helium, and their mixtures. By means of comparison with Monte Carlo simulation and results of refrence [14] in Table 3 we could prove that exp-6 potential is more beneficial than DY in wider ranges of variables, since its application in this theory shows more convergent results in comparison with MC simulation [24]. Also exp-6 potential is a good choice of potential since it allows us to elevate temperature and density [28]. But as hydrogen molecules dissociation occurs [28] for pressures more than 100G (pa), this effect must be accounted. Therefore, we have restricted ourselves to pressures below 100G (pa).
Furthermore, we have used Wertheim RDF which enables us to use this EOS for extended values of temperature. As well, we have compared different contributions of pressure to represent which one is more effective in different density and temperature regimes. By finding the most effective parts of pressure contributions in each ranges of independent variables (Temperature, reduced density, mole fraction), we can omit the less significant parts which are considered ignorable in value, to decrease unnecessary efforts. Likewise, we can speculate from Fig. 1 that in low temperature and high densities, long range perturbation term has the most significant effect in comparison with other parts. On the other hand, hard sphere part can be assumed as the most noticeable part in high temperature ranges. Moreover, comparison of DY and exp-6 potentials effects, on pressure of this mixture has been studied to express benefits of using exp-6 potential for higher temperatures and densities. Additionally, as it is obvious in high temperature and density difference between effects of two potentials are considerable for this equimolar mixture. This discriminating property makes exp-6 potential preferable.
Furthermore, this approach has been used to evaluate EOS of
One of the topics which can count on a great deal of interest from both theoretical and experimental physics is research in fluid mixture properties. These interests, not only comprise in the wide abundance of mixtures in our everyday life and in our universe but also the surprising new phenomena which were detected in the laboratories responsible for this increased attention. Mixtures, in general, have a much richer phase diagram than their pure constituents and various effects can be observed only in multi-component systems.
These kinds of studies have allowed a more complete modeling of mixture and consequently a better prediction and a more accurate calculation of thermodynamic quantities of mixture, such as activity coefficient, partial molar volume, phase behavior, local composition in general and have promoted a deeper understanding of the microscopic structure of mixtures.
Furthermore, for astronomical applications it is known that most of giant gas planets are like Jupiter is consisting primarily of hydrogen and helium. Modeling the interior of such planets requires an accurate equation of state for hydrogen-helium mixtures at high pressure and temperature conditions similar to those in planetary interiors [29]. Thus, the characterization of such system by statistical perturbation calculations will help us to answer questions concerning the inner structure of planets, their origin and evolution [29, 30].
In addition, in perturbation consideration of plasma via chemical picture, perturbation corrections will be included by means of additional free energy correction terms. Therefore, in considering transition behavior of molecular fluid to fully ionized plasma these terms are suitable in studying the neutral interaction parts. Consequently this will help us in studying inertial confinement fusion [31] and considering plasma as a fluid mixture in tokomak [32].
Technological innovations and work process automation play a key role in meeting the increased demands that organizations face in today’s competitive and fast-changing market [1]. To become and remain efficient, automation and robotics offer many solutions for the potential optimization of work processes. Robotic Process Automation (RPA) is currently one of the most used tools in business process automation that stimulates higher organizational productivity [2]. RPA is a software robot that uses the interface of an already present computer system and mimics the actions of a human employee. RPA can automate work processes that are administrative, well-structured, and repetitive of nature [3, 4, 5]. Typical tasks that can be done by RPA entail, for example, processing incoming emails and orders, transferring data from one digital system to another, and searching for and communicating with potential new hires. Organizations greatly benefit from the implementation of RPA, mainly due to increased process speed and production growth, as well as error reduction [6].
However, although there are many advantages to the commissioning of RPA, it is estimated that between 30 and 50% of all RPA implementations fail [7]. This relatively high number of unsuccessful RPA implementations is in line with the general notion that digital transitions often do not result in desired outcomes, such as enhanced productivity and efficiency. A potential explanation for failing technological implementations is the lack of consideration for the employees who have to work with a new technology [8]. With this study we aim to gain more insight in this human-technology interaction [9] by investigating to what extent the implementation of an RPA technology impacts work characteristics and employee well-being.
In-depth knowledge on the consequences of digital transitions for the work characteristics and employee well-being is increasingly important, because both are to a large extent predictive of overall employee performance and organizational productivity [10, 11]. By studying this issue we contribute to the existing body of knowledge on workplace automation and information systems in two important ways. First, this study aims to address the research gap concerning the impact of workplace automation on individual work experiences. Whereas earlier research has mainly focused on the effects of technological innovations on employment and labor market composition, we argue that more understanding of the relationship between the implementation of an automation system and work characteristics, as well as well-being of those who have to work with these new technologies can contribute to the successful implementation of technological innovations. This can help organizations that want to innovate and invest in better designed jobs, as well as lead to better implementations of new technologies such that sustainable employee performance can be consolidated and organizational efficiency can be achieved. Second, we aim to contribute to the growing body of literature on workplace automation and the application of RPA technology [5, 6, 12, 13]. More specifically, we examine to what extent RPA influences the work experiences of employees and whether RPA technology results in the desired outcomes with regard to a decrease in job demands, an increase in job resources, and in turn enhanced employee well-being. In sum, with this research we want to achieve a better understanding of how employees experience working with RPA, so that such an innovation in the future actually contributes to what it is intended for and does not generate negative side effects. In the following sections, we will explain how RPA can influence work characteristics and how these work characteristics are related to employee well-being.
Work process automation changes the way work is performed and perceived by employees. For example, the use of robots that automate heavy manual labor can result in less physically straining job tasks for employees, while at the same time requires them to handle new machinery. Similarly, the use of chatbots can significantly decrease interpersonal interactions at work, but can potentially also result in employees to feel alienated from their original work role. Hence, the introduction of a new technology and workplace automation can have both simultaneously positive and negative influences on employees’ work experiences.
The idea behind RPA technology is that administrative work processes become more streamlined and efficient, so that employees have to spend less time on performing repetitive work tasks [3]. Compared to traditional automation systems (e.g., BPM, CRM) RPA can automate many different work tasks, is easy to implement and use, and does not require modification of existing IT infrastructures [5]. As such, RPA is unique in a sense that it requires minimal human intervention, can be applied to a range of business applications, and is designed such that end users can make changes without the need to possess extensive programming skills. Although RPA does not automate and replace complete jobs, it does substantially change certain tasks and the way jobs are designed [9, 14]. Therefore, the implementation of RPA is likely to change the way employees (perceive their) work and thus can result in better or worse designed jobs, which likely has a profound impact on important outcomes related to employee work experiences and well-being [9].
From a work design perspective, the job demands-resources model states that all work characteristics can be divided into job demands and job resources [15]. Job demands, such as workload, time pressure, and role conflict, refer to all aspects of a job that require continuous cognitive or emotional effort and are related to physiological and/or psychological costs. Job resources are those aspects of a job that help employees cope with high job demands, attain work goals and performance, and stimulate professional growth. Examples of job resources are feedback, task variety, support, and autonomy [15]. In line with Demerouti [16] and Parker and Grote [9], we argue that during and after the implementation of a new technology and workplace automation both job demands and job resources are subject to substantial changes. A recent systematic literature review [17] on the impact of the implementation of technological innovations on core work characteristics, showed that the implementation of a new technology was associated with intensified job demands, including job complexity and workload. Additionally, the relationship between the implementation of a technological innovation and job resources was predominantly positive, especially with regard to autonomy and control. These findings suggest that although job demands tend to increase after the introduction of a new technology, job resources seem, at least to some extent, compensate for these increased demands. However, in finding an answer to the question which work characteristics are susceptible to change after the introduction of an RPA technology, it is important to take a closer look at the defining features of RPA.
Starting with job resources, as mentioned above, one of the main goals of RPA is to take over administrative and repetitive work tasks from employees [5]. This means that the use of RPA frees time that employees otherwise had to spend on monotonous tasks. Considering that RPA generates more time for other aspects of the job, this should allow employees to exert more control over their work structure and tasks. As such, we expect that RPA use relates to more autonomy at work for employees. This notion is also supported by a qualitative interview study of Engberg and Sördal [18], who found that the introduction of RPA enhanced the experienced freedom of employees to independently organize their work schedule and tasks.
Second, although RPA is useful in replacing structured and repetitive tasks, it is less suitable to take over complex work that requires more advanced problem-solving skills and abilities [3]. Taking into account that RPA technology releases employees from carrying out repetitive work duties, it simultaneously leaves more room to perform other and more challenging tasks. In line with this argumentation, several qualitative studies have shown that, overall, employees experienced that RPA enabled them to advance their skill set. In addition the introduction of RPA enabled them to devote time to their professional development and growth while performing new and challenging tasks [18, 19]. These findings suggest that RPA creates space for employees to focus on a variety of challenging work tasks. Therefore, we also expect that the use of RPA positively relates to task variety, which entails the extent to which employees experience variety in their job content and can perform a wide range of tasks that require different skills [20].
Turning to job demands, reference [21] indicates that RPA is able to take over and process up to 300% more information compared to human employees. This increase in productivity is due to the fact that RPA can complete a large range of administrative tasks in a fraction of the time compared to actual employees and can work throughout the night and weekend. Additionally, RPA is relatively easy to implement and configure, meaning that employees can use RPA, as well as make changes in how tasks are performed, without an extensive technical background [22]. This implies that employees are no longer bothered with continuously having to deal with processing and analyzing large amounts of information and are able to easily adjust the system during the implementation process based on the requirements and needs of their job. Information processing refers to the amount of data and information that employees are required to monitor and manage in their job [20, 23]. Considering that RPA takes over data and information processing tasks to a substantial extent, we propose that RPA completes a large range of administrative tasks in a fraction of the time compared to actual employees. Taken together, with regard to changes in job demands and job resources we formulate the following hypotheses: Hypothesis 1:RPA use is positively related to (a) autonomy and (b) task variety. Hypothesis 2:RPA use is negatively related to information processing.
Employee well-being refers to a passive or active work-related affect and individual’s evaluation of the quality of experiences at work [24]. In this study, we included work engagement and exhaustion as indicators of work-related well-being, considering that both are regarded as important factors in the operationalization of employee well-being [25, 26]. In relation to work-related well-being, the JD-R framework proposes two independent underlying processes [15]. First, a health impairment process, in which continued exposure to high job demands results in strain, burnout, and an overall decline in health-related outcomes. Second, a motivational process is proposed, in which access to sufficient job resources protects employees against high job demands and leads to motivation, work engagement, and increased productivity. Following these central assumptions, we argue that higher levels of autonomy and task variety associated with RPA use instigate the motivational process as proposed in the JD-R framework. To clarify, autonomy and task variety are key job resources, which consistently have been found to be predictive of work engagement and performance outcomes (for overviews see [27, 28]. Consequently, we propose that employees who can turn over their repetitive tasks to RPA are likely to experience more autonomy and task variety, and in turn feel more engaged. In addition, consistent exposure to high job demands, including workload and information processing, are linked to increased levels of exhaustion and burnout (e.g. [29]. With regard to information processing, we expect that employees who can transfer their administrative responsibilities to RPA and thus on a daily basis deal with substantially less repetitive job tasks, experience lower levels of information processing (see Hypothesis 2). In turn, lower levels of information processing are likely to relate to lower levels of exhaustion (i.e., a positive relationship). Therefore, we hypothesize the following: Hypothesis 3:(a) Autonomy and (b) task variety are positively related to work engagement. Hypothesis 4:RPA use is indirectly related to more work engagement through (a) autonomy and (b) task variety. Hypothesis 5:Information processing is positively related to exhaustion. Hypothesis 6:RPA use is indirectly related to less exhaustion through information processing.
Data for this study was collected via an online questionnaire. We recruited data from employees within two large departments of a Dutch Ministry (N = 420). The response rate was 37.33%. In 2019 this Ministry introduced and implemented RPA in their organization. Employees working in the two departments typically hold office jobs, such as administrative workers, financial and legal experts, project managers and members, and HR representatives. We invited both employees who could turn over certain aspects of their work to RPA (i.e., RPA users, who make or control work processes and provide input for the RPA robot; N = 140) and employees whose work was not directly impacted by RPA (N = 280). In the questionnaire employees were asked whether their work was somehow impacted by the introduction of RPA and if so, in what way their work has changed and how they interacted with the robot. Based on these answers a distinction could be made between RPA users and non-RPA users. The group of RPA users consisted of employees from whom RPA took over one or several administrative and repetitive work tasks, such as scanning and filing emails and documents, extracting data, and generating (mass) emails. Additionally, this group also consisted of employees that made or controlled RPA work processes and output, as well as provided new input for the RPA robot. All employees received an email from the Ministry with information about the aim of the study, a link to the online questionnaire, and an explanation of the confidentiality was offered to all respondents. This study obtained approval of the Ethics Review Board.
In the total sample, 54.90% was male and the average age was 48.96 years (SD = 10.85). The mean job tenure was 14.61 years (SD = 11.22) and on average respondents worked for 33.48 hours a week (SD = 4.87). Most employees worked in jobs that required a Bachelor’s Degree (48.10%) or an Associate Degree (12.10%). In terms of demographical variables (i.e., gender, age, weekly workhours, and contract type) RPA users did not differ significantly from non-RPA users. Additionally, we tested for differences between RPA users and non-RPA users on the study main variables by conducting independent samples t-tests in SPSS. Table 1 shows the results of these analyses. RPA users reported significantly lower levels of autonomy, task variety, and information processing compared to non-RPA users.
RPA users | Non-RPA users | ||||
---|---|---|---|---|---|
M | SD | M | SD | ||
Autonomy | 3.62 | 0.74 | 3.97 | 0.65 | 4.86** |
Task variety | 3.33 | 0.82 | 3.68 | 0.70 | 4.59** |
Inform. Processing | 3.83 | 0.65 | 4.02 | 0.67 | 2.82** |
Work engagement | 4.71 | 0.99 | 4.69 | 0.90 | −0.22 |
Exhaustion | 2.07 | 0.75 | 2.01 | 0.68 | −1.15 |
Results of
Note:
Frist, autonomy was measured with a Dutch translation of three items of the Work Design Questionnaire (WDQ; [20]). An example item of this scale is: “The job allows me to make a lot of decisions on my own”. Cronbach’s α was 0.80. Task variety was measured with two items of the WDQ [20]. One of these items is “The job involves a great deal of task variety”. Information processing was measured with two items of the WDQ . An example of these items is: “The job requires me to monitor a great deal of information”. Work engagement was measured with the three-item version of the Utrecht Work Engagement Scale [30]. An example item of this scale is: “At my work, I feel bursting with energy”. Cronbach’s α for this scale was 0.82. Exhaustion was measured with three items of the Burnout Assessment Tool (BAT [31]). One of the items is: “I feel mentally exhausted at work”. Cronbach’s α for this scale was 0.81.
First, we evaluated the measurement model using confirmatory factor analysis (CFA). Latent variables (i.e., autonomy, task variety, information processing, work engagement, and exhaustion) were modeled with scale items. The following fit indices were used to evaluate model fit: the Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI), and the root mean square error of approximation (RMSEA). With CFI and TLI values above 0.95, and RMSEA below 0.06, model fit is acceptable [32]. Second, we tested the proposed research model using structural equation (SEM) with the AMOS software package [33]. To assess the specific indirect effects of autonomy and task variety in the relationship between RPA use and work engagement, as well as the specific indirect effect of information processing in the relationship between RPA use and exhaustion, we applied the phantom model approach [34]. In addition, to test the robustness of our proposed research model, we tested an alternative model, that proposed a relationship between RPA use and work engagement, and in turn, autonomy and task variety. Additionally, this alternative model proposed an indirect relationship between RPA use, exhaustion, and information processing.
In Table 2 the descriptive statistics, including the means, standard deviations, and correlations of the variables in this study can be found. Job level was the only demographic variable that correlated significantly with several of the outcome variables (i.e., autonomy, task variety, and information processing). Therefore, we controlled for job level in our further analyses.
Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
---|---|---|---|---|---|---|---|---|---|---|
1. Age | 48.96 | 10.85 | — | |||||||
2. Job level | 2.72 | 0.68 | −0.01 | — | ||||||
3. System use | 0.33 | 0.47 | −0.08 | −0.25** | — | |||||
4. Autonomy | 3.85 | 0.70 | 0.03 | 0.34** | −0.24** | — | ||||
5. Task variety | 3.56 | 0.76 | −0.05 | 0.48** | −0.23** | 0.47** | — | |||
6. Information processing | 3.96 | 0.67 | 0.07 | 0.37** | −0.14** | 0.36** | 0.36** | — | ||
7. Work engagement | 4.70 | 0.92 | 0.05 | 0.05 | 0.01 | 0.28** | 0.32** | −0.14*** | — | |
8. Exhaustion | 2.04 | 0.71 | −0.04 | −0.01 | 0.06 | −0.14** | −0.13** | 0.09 | −0.27** | — |
Descriptive statistics and inter-correlations of the study variables
Note:
The measurement model, including autonomy, task variety, information processing, work engagement, and exhaustion as latent variables, showed a very good fit to the data: χ2 = 144.00, df = 55, CFI = 0.96, TLI = 0.94, RMSEA = 0.06. All factor loadings loaded significantly on their respective latent factor and ranged between 0.63 and 0.97.
In Hypothesis 1a and 1b we predicted that RPA use was positively related to (a) autonomy and (b) task variety. Contrary to our expectations, our analysis showed an opposite relationship, namely that RPA use was significantly and negatively related to both autonomy (β = −0.19, p < 0.01) and task variety (β = −0.13, p < 0.05), thereby not supporting Hypotheses 1a and 1b.
In Hypothesis 2, we predicted that RPA use would be negatively associated with information processing. Although this relationship was indeed negative, it was not significant (β = −0.06, p = 0.17), and thereby not in support of Hypothesis 2.
In line with Hypotheses 3a and 3b, we found that autonomy (β = 0.13, p = 0.01) and task variety (β = 0.26, p < 0.05) were as expected indeed positively and significantly related to work engagement, thereby confirming Hypothesis 3.
Turning to Hypotheses 4a and 4b and the indirect relationship between system use and work engagement through both autonomy and task variety, the data showed that this combined indirect effect was negative and significant (estimate = −0.06, p < 0.02 with a bias-corrected confidence interval ranging from −0.10 to −0.02). To assess the specific indirect effects of autonomy and task variety separately in the relationship between system use and work engagement, the phantom model approach was applied [34]. The specific indirect effect of autonomy in the relation between system use and work engagement was indeed negative and significant (estimate = −0.10, p = 0.02), thereby not in support of Hypothesis 4a. The specific indirect effect of task variety in the relation between system use and work engagement was also negative and significant (estimate = −0.06, p = 0.02). As such, Hypothesis 4b was also not confirmed.
In contrast to Hypothesis 5, we found no significant relationship between information processing and exhaustion, (β = 0.08, p = 0.17). As such, Hypothesis 5 was not supported by the data.
Hypothesis 6, in which an indirect effect of information processing in the relationship between RPA use and exhaustion was hypothesized, was not supported by the data (estimate = −0.01, p = 0.16 with a bias-corrected confidence interval ranging from −0.02 to 0.00). As such, Hypothesis 6 was not confirmed.
Overall, the proposed structural model showed a good fit to the data: χ2 = 210.235, df = 78, CFI = 0.94, TLI = 0.92, RMSEA = 0.06. Figure 1 shows a schematic representation of all study’s results.
Overview of results of structural equation modeling. Note:
Last, we tested a plausible alternative model, in which system use was related to autonomy and task variety, through work engagement. Additionally, in this alternative model we proposed that system use was indirectly related to information processing through exhaustion. The alternative model showed a lower overall fit with the data (χ2 = 248.549 df = 80, CFI = 0.92, TLI = 0.90, RMSEA = 0.07). After comparison of the two models, the proposed research model yielded a significantly better fit (Δχ2 = 38.314, Δdf = 2, p < 0.01).
To gain a better understanding of the impact of workplace automation on the quality of work and employee well-being, we examined to what extent the introduction of RPA relates to work characteristics and subsequent work-related employee well-being. We drew on the JD-R framework [15] to argue for a positive relationship between RPA use (vs. non-use) and the job resources autonomy and task variety, and in turn work engagement. Additionally, we proposed a negative association between RPA use and information processing and subsequently exhaustion. Contrary to our expectations, the results showed that RPA use was negatively related to both autonomy and task variety, which in turn were positively related to work engagement. Moreover, the indirect effects of both autonomy and task variety were negative in the relationship between RPA use and work engagement. These results indicate that the introduction of a workplace automation, and more specifically the use of RPA, is at the expense of work engagement for employees who have to deal with this new technology through a decrease in job resources. Furthermore, we found no significant relationship between RPA use and information processing and in turn exhaustion, suggesting that job demands were not significantly affected by the introduction of a new workplace technology.
Unexpectedly and remarkably, the findings of this study demonstrate that working with RPA as a new technology is associated with lower levels of both autonomy and task variety. This is a worrying finding in itself, especially because autonomy and task variety are important predictors of work engagement, as also underlined by the results of this study. Moreover, many studies have demonstrated that a lack of job resources, including autonomy and task variety, is also associated with other negative work outcomes such as burnout, turnover intentions, lower levels of learning behaviors, as well as a decrease in motivation, proactivity, and performance [35, 36, 37]. This further underlines that it is very important to conserve job resources when introducing a new work process automation.
A possible explanation for the negative association between RPA use and autonomy and task variety - and thus the opposite intended effect of RPA - could lie in the ongoing implementation process of a workplace automation [9]. In this case, RPA was relatively recently introduced within the organization, meaning that the system was still in continuous adjustment to the specific demands of the organization and employees. Although RPA takes over well-structured and repetitive work tasks, the provided output still needs to be regularly checked by human employees. Therefore, it could be that employees working with RPA were still spending considerable time to examine and correct potential system mistakes and updating the robot to certain tasks and needs [38]. Considering that employees needed to search, report, and adjust RPA system errors, this could lead to a decreased sense of autonomy and control. Additionally, because this also requires a different set of work skills, room to engage in new and challenging tasks could be limited. Moreover, employees who had to work with RPA could not freely choose whether RPA took over certain work tasks they previously performed themselves. It could be the case that this lack of individual influence on the use of RPA resulted in a decreased feeling of control. As such, because employees were required to use and learn RPA and did not have a final say in whether RPA was implemented in their work or not, their autonomy may be threatened and thus reduced.
Taken together, the present study findings implicate that after the implementation of a work process automation technology, employee engagement, and thus well-being, is at risk due to a significant decrease in core job resources for RPA users. Additionally, the results of this study showed that RPA use is not related at all to information processing. A possible explanation for this finding may be that information processing simultaneously increases and decreases for RPA users, thereby canceling out any effects. More specifically, it could be that while RPA use relates to less administrative information that has to be analyzed and processed, employees do have to process more information associated with learning to work and getting familiar with RPA, as well as controlling and adjusting RPA processes. In that case, it would be useful to distinguish between different types of information processing related to a digital transition. For instance, information processing associated with the eventual effects of a new technology on individuals work content (and thus an expected decrease in simple and monotonous work tasks), and information processing related to the implementation process and learning a new technology.
Alternatively, other job demands than information processing could be taken into account when examining the impact of RPA on work characteristics. For instance, workload and role conflict could be potential interesting factors in light of the implementation of RPA, considering that the job content is likely to change due to the implementation of a new work process automation technology. Additionally, in the initial phase after a digital transition a new system requires new routines and knowledge, which is likely to have an impact on employees’ workload [39].
Last, we did not found the expected positive relationship between information processing and exhaustion. Exhaustion is often regarded as a more distal outcome compared to work engagement, because employee exhaustion only develops after repeated exposure of (high) job demands [40]. Due to the cross-sectional design of this study that also was conducted only two months after the implementation of RPA, it could be that the health impairment processes, as proposed by the JD-R framework, had not been set in motion yet.
A first important contribution of the current study is that it demonstrates that the relationship between the implementation of technological innovations at work and employee well-being via work characteristics is not straightforward. Our results show that, although RPA is often introduced with the intention to lessen the burden on employees concerning monotonous, repetitive work tasks, this goal is not necessarily achieved. Based on the present study, it seems that job demands do not decrease for those employees that work with the new technology. More importantly and also contrary to our expectations, the use of a new system at work was related to lower instead of higher levels of autonomy and task variety, meaning that job resources of system users seem to decrease after implementation of a work process automation. Thus, our findings demonstrated that the introduction of a new technology did not lower demands. In fact, it even generated less resources in that it created less space for employees to take control over their work and engage in challenging and a wider variety of tasks. Taken together, these findings provide support for the existence of a technology paradox, in that the potential of a new workplace technology does not necessarily results in desired organizational and individual outcomes. Specifically, the implementation of a work process automation should not be at the expense of employee job resources.
Second, the present study contributes to the emerging literature on RPA [5, 6] and offers more insight into workplace automation, and specifically the implementation of RPA, on employee experiences. Whereas earlier studies on the impact of workplace automation and RPA showed overall positive associations with job resources [18, 41, 42], the results of this study present a different picture. Our findings suggest that automation does not always result in a desired reduction of demands, and more importantly, that it poses a potential treat to well-being via a decrease in job resources. To the best of our knowledge this is one of the first papers that focusses on both job resources and a job demand following the implementation of a workplace automation. To gain a deeper understanding of the complex human-technology interaction, future research should place emphasis on changes in both challenging and hindering demands following a digital transition, as well as on job resources that can help employees cope and perform with automation and RPA.
This study has several limitations. First, due to the cross-sectional study design, we cannot draw conclusions about the causal relationships between RPA use, the examined job resources and demand, and work engagement and exhaustion. Although we carefully followed the core premises by the JD-R model [15], it could be the case that some proposed relationships are reciprocal. For instance, it might be that employees who experience high levels of work engagement also perceive more job resources in their work [43]. Earlier studies (e.g. [44, 45] indeed found that job resources and work engagement influence each other in both directions, suggesting a gain cycle in which the presence of job resources and work engagement reinforce each other reciprocally. These findings further underline the importance of more longitudinal research to investigate such bidirectional relationships in a digital transition context. Additionally, when investigating the influence of a technological implementation on employees’ job quality and work experiences, future research could apply a longitudinal study design, in which users and non-users are compared at several measurement points, including pre- and post-implementation. Since employees included in the present study were not randomly assigned to use RPA, the selection of employees to use RPA could be correlated with their perceptions of task variety and job automation. For instance, some employees are more capable and can handle more task variety, so they may be more likely to be selected to use RPA. Thus, it is a challenge to determine the causal effect. Therefore, a within-group pre-post design would have been better and is recommended for future studies.
In addition, the use of self-reports could lead to common method bias [46]. However, additional to the good fit of the measurement model, we conducted Harman’s single-factor test, which demonstrated that variance in the data was not due to a single underlying factor and thus indicating that common method bias was not a problem in this study. Moreover, it can be argued that constructs reflecting individual states, such as work engagement and exhaustion, as well as perceived work characteristics, can best be evaluated by the individual actor, and are not necessarily suitable to cross-validate with other-ratings.
Finally, in this study we focused on (only) three specific work characteristics that were likely to be influenced by the introduction and use of RPA, namely autonomy, task variety, and information processing. The choice of these work characteristics was based on earlier qualitative research findings on the impact of RPA on job resources [18]. Moreover, we reasoned that the implementation of RPA lessens the amount of information that needs to be processed by human employees, as well as generates more control and room for other challenging tasks. Considering that we found no relationship between RPA use and information processing, it would be particularly interesting to uncover if and how other job demands of system users are affected by the implementation of a workplace automation. For instance, future research could further differentiate between challenging and hindering job demands, were job hindrances (e.g., job insecurity, role conflict, and constraints) are associated with exhaustion and job challenges (e.g., workload and cognitive demands) with engagement [47]. It could be that the implementation of new technologies at work simultaneously incite hinderances and challenges for employees. More insight into how workplace automation affects these specific job demands could contribute to a better implementation of new technologies and optimize adaption among employees who have to work with these technologies [9]. Similarly, it would be relevant to examine what and how job resources can help employees to achieve their goals and stay motivated during the introduction of a new technology [16]. In sum, it is of key importance to design jobs in such a way that a digital transition involves both challenging and realizable job demands, as well as sufficient job resources to stimulate employee performance and well-being. A human-centered approach to workplace automation and job design with particular consideration for employee work experiences is of key importance in reducing the technology-paradox and optimizing the full potential of technology [8].
The present study connects to a broader debate on the quality of work in the rapid-changing contemporary world of work [48, 49]. Both employees and managers benefit greatly from a healthy and motivating work environment, especially in times of digital transition and widespread automation within organizations. The findings of this study provide further insight into how technological innovations relate to employee well-being through work characteristics and underline the importance of stimulating autonomy and task variety in order to safeguard employee motivation after introducing a workplace automation.
Facilitating a work environment in which employees have access to sufficient job resources that help them deal and work with technological advancements, as well as enabling good performance, is one of the most important implications for practice. Based on the results of this study and in line with the recommendations of reference [16], organizations and HR practitioners should take responsibility during and after the implementation of new technologies. One of the focal points should be to (re)design jobs in such a way that technological innovations turn into a resource itself by closely paying attention to the needs and concerns of users. Carefully identifying how job demands may change after a digital transition can also help organizations to offer appropriate job resources for employees to cope with changes in their job demands. For instance, access to sufficient training and education can help employees to become acquainted and more proficient in using a new technology, and thereby also reducing workload, anxiety, and job insecurity [50]. Additionally, providing feedback and support from the organization and managers are two main resources for employees that help them deal with the negative consequences of job demands [51]. Furthermore, another way to successfully gain and maintain well-being and motivation during a digital transition, is by facilitating employee job crafting [52] which refers to an individual proactive strategy to seek out relevant job resources that can help employees during technological change. Managers and organizations play a key role in creating a work environment in which employees feel encouraged to engage in job crafting and proactively seek out resources they need to adjust and perform [53].
In sum, during and following the implementation of a technological innovation, organizations and managers should be aware of changes in job demands and needs from employees, as well as focus on providing adequate resources for employees to cope with these demands and to stimulate optimal performance with a new technology.
The current study demonstrates that the introduction of a workplace automation system may have a profound negative impact on employee job resources. More specifically, the findings indicate that use of an automation system relates to lower levels of autonomy and variation in work tasks, forming a serious threat to the work engagement of employees who have to work with the new system. As such, this study shows that organizations should take a close look at and take into account potentially affected job resources due to the implementation of a workplace automation. Importantly, focusing on stimulating relevant job resources, such as autonomy and task variety, during and after digital transitions is necessary to maintain and promote employee well-being and motivation.
This research was funded by a grant from A + O fonds Rijk, an independent Dutch Foundation for innovation and research within the Dutch Government.
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He is an academic staff member of the Department of Reproduction and Artificial Insemination, Selçuk University, Turkey. He manages several studies on sperms and embryos and is an editorial board member for several international journals. His studies include sperm cryobiology, in vitro fertilization, and embryo production in animals.",institutionString:"Selçuk University, Faculty of Veterinary Medicine",institution:null},{id:"90846",title:"Prof.",name:"Yusuf",middleName:null,surname:"Bozkurt",slug:"yusuf-bozkurt",fullName:"Yusuf Bozkurt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/90846/images/system/90846.jpg",biography:"Yusuf Bozkurt has a BSc, MSc, and Ph.D. from Ankara University, Turkey. He is currently a Professor of Biotechnology of Reproduction in the field of Aquaculture, İskenderun Technical University, Turkey. His research interests include reproductive biology and biotechnology with an emphasis on cryo-conservation. He is on the editorial board of several international peer-reviewed journals and has published many papers. Additionally, he has participated in many international and national congresses, seminars, and workshops with oral and poster presentations. He is an active member of many local and international organizations.",institutionString:"İskenderun Technical University",institution:{name:"İskenderun Technical University",country:{name:"Turkey"}}},{id:"61139",title:"Dr.",name:"Sergey",middleName:null,surname:"Tkachev",slug:"sergey-tkachev",fullName:"Sergey Tkachev",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/61139/images/system/61139.png",biography:"Dr. Sergey Tkachev is a senior research scientist at the Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia, and at the Institute of Chemical Biology and Fundamental Medicine SB RAS, Novosibirsk, Russia. He received his Ph.D. in Molecular Biology with his thesis “Genetic variability of the tick-borne encephalitis virus in natural foci of Novosibirsk city and its suburbs.” His primary field is molecular virology with research emphasis on vector-borne viruses, especially tick-borne encephalitis virus, Kemerovo virus and Omsk hemorrhagic fever virus, rabies virus, molecular genetics, biology, and epidemiology of virus pathogens.",institutionString:"Russian Academy of Sciences",institution:{name:"Russian Academy of Sciences",country:{name:"Russia"}}},{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/310962/images/system/310962.jpg",biography:"Amlan K. Patra, FRSB, obtained a Ph.D. in Animal Nutrition from Indian Veterinary Research Institute, India, in 2002. He is currently an associate professor at West Bengal University of Animal and Fishery Sciences. He has more than twenty years of research and teaching experience. He held previous positions at the American Institute for Goat Research, The Ohio State University, Columbus, USA, and Free University of Berlin, Germany. His research focuses on animal nutrition, particularly ruminants and poultry nutrition, gastrointestinal electrophysiology, meta-analysis and modeling in nutrition, and livestock–environment interaction. He has authored around 175 articles in journals, book chapters, and proceedings. Dr. Patra serves on the editorial boards of several reputed journals.",institutionString:null,institution:{name:"West Bengal University of Animal and Fishery Sciences",country:{name:"India"}}},{id:"53998",title:"Prof.",name:"László",middleName:null,surname:"Babinszky",slug:"laszlo-babinszky",fullName:"László Babinszky",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/53998/images/system/53998.png",biography:"László Babinszky is Professor Emeritus, Department of Animal Nutrition Physiology, University of Debrecen, Hungary. He has also worked in the Department of Animal Nutrition, University of Wageningen, Netherlands; the Institute for Livestock Feeding and Nutrition (IVVO), Lelystad, Netherlands; the Agricultural University of Vienna (BOKU); the Institute for Animal Breeding and Nutrition, Austria; and the Oscar Kellner Research Institute for Animal Nutrition, Rostock, Germany. In 1992, Dr. Babinszky obtained a Ph.D. in Animal Nutrition from the University of Wageningen. His main research areas are swine and poultry nutrition. He has authored more than 300 publications (papers, book chapters) and edited four books and fourteen international conference proceedings.",institutionString:"University of Debrecen",institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"201830",title:"Dr.",name:"Fernando",middleName:"Sanchez",surname:"Davila",slug:"fernando-davila",fullName:"Fernando Davila",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201830/images/5017_n.jpg",biography:"I am a professor at UANL since 1988. My research lines are the development of reproductive techniques in small ruminants. We also conducted research on sexual and social behavior in males.\nI am Mexican and study my professional career as an engineer in agriculture and animal science at UANL. Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. He works as a Senior Clinician at the Veterinary Teaching Hospital of UTAD (HVUTAD) with a role in clinical activity in the area of livestock and equine species as well as to support teaching and research in related areas. He teaches as an Invited Professor in Reproduction Medicine I and II of the Master\\'s in Veterinary Medicine degree at UTAD. Currently, he holds the position of Chairman of the Portuguese Buiatrics Association. He is a member of the Consultive Group on Production Animals of the OMV. He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. 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Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"May 26th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:289,numberOfPublishedBooks:27,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRqB9QAK/Profile_Picture_1626163237970",institutionString:null,institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/43864",hash:"",query:{},params:{id:"43864"},fullPath:"/chapters/43864",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var m;(m=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(m)}()