Absorption coefficients for СО2 and СН4\n\t\t\t\t\t\t\t
\r\n\tIn the last decades, particular attention to this field has been paid to the coastal erosion problem all over the world. Indeed, the deployment of artificial reservoirs, modification of the runoff characteristics of internal areas, sand extraction from rivers, and harbor siltation, caused a decrease of sediment input on the coastal environments, and, therefore, a generalized deficit in the sediment budget. Often, dredging activities are required to collect sediment finalized to “soft” techniques to restore beaches or to move the sand trapped in the harbor (clean or contaminated).
\r\n\tMoreover, the coastal protections induced hydrodynamics and morphodynamics modifications inducing sometimes strong variations to the sediment transport regime.
\r\n\tHistorically, all these aspects are related to specific research areas ranging from engineering, geology, geomorphology, biology, etc, but it is difficult to find a comprehensive overview of these topics.
\r\n\r\n\tThis book is intended to collect original works and review concerning numerical and experimental investigation, theoretical works, methodological approaches, and any other technique that allow giving the actual state-of-the-art in the field of sediment transport.
",isbn:"978-1-80355-868-4",printIsbn:"978-1-80355-867-7",pdfIsbn:"978-1-80355-869-1",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"e7b1c1592e32fe87af399022616ad0f8",bookSignature:"Dr. Davide Pasquali",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11136.jpg",keywords:"Longshore Sediment Transport, Sediment Budget, Morphodynamics, Hydrodynamics, Sediment Transport, Sedimentation, Mathematical Modelling, Erosion and Deposition, Dredging, Harbor Siltation, Contaminated Sediment, Water Quality",numberOfDownloads:66,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 4th 2021",dateEndSecondStepPublish:"February 23rd 2022",dateEndThirdStepPublish:"April 24th 2022",dateEndFourthStepPublish:"July 13th 2022",dateEndFifthStepPublish:"September 11th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"4 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Davide Pasquali is currently a Research Fellow in the Department of Civil, Construction-Architectural, and Environmental Engineering (DICEAA) at the University of L’Aquila. 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This process can be implemented in gas pipes or gas-cleaning apparatuses (direct flow or counter flow jet scrubbers) [1]. The process of gas cleaning from dust and gas admixtures is carried out in the following manner. The fluid dispersed by jets is introduced into the dust-vapor-gas flow in the form of droplets, interacts with it, and under nonisothermal conditions the increased moisture content leads to intensive condensation of liquid vapors on particles, their significant enlargement and efficient absorption of liquid droplets due to collisions of the latter with particles [2]. Simultaneously, the liquid droplets and condensate on particles absorb harmful gas components, dissolving them and removing from the vapor-gas flow.
The authors failed to find the mathematical description of this complex process in literature. From the engineering point of view the importance of development of generalized mathematical models, which reflect properly the interaction of heat and mass transfer with the effects of gas components removal and dust capture by the droplets of irrigating liquid in jet scrubbers and reactors, is undisputable, and it is determined by significant opportunities for optimization of operation conditions and constructions of energy-intensive and large-scale equipment in various industries both in terms of reducing of material and energy costs.
In the current work we suggest the model for mathematical description of the above process with the following assumptions:
droplets and particles are considered monodispersed with equivalent sizes, equal to mass-median by distributions;
concentrations of droplets of irrigating liquid, dust particles and harmful gas components are low, what allows us to use the Henry’s law for equilibrium of gas components in liquid and gas phases at the interface and assume that the solution in droplet is ideal;
the mean-mass temperature of droplets and temperature of their surfaces are equal because of their small sizes [3];
the typical time of gas component dissolution in droplet is significantly less than the typical time of mass transfer processes, commonly occurring in the apparatus;
the motion velocities of particles with condensate on their surface (“formations”) and vapor-gas flow are equal;
the moisture content in the flow can be high, what requires consideration of the Stefan correction in mass transfer equations for evaporation-condensation process on droplets and “formations”;
we do not take into account the evaporation-condensation correction for the resistance and heat transfer coefficients of droplets and “formations”, it is insignificant and becomes obvious only at the initial stages of the process at high moisture contents [4];
in equation of droplet motion we take into account variability of its mass;
the radiant component in the process of heat transfer is neglected because of low temperatures of droplet, “formations” and flow;
mutual coalescence of droplets and “formations” is not taken into account, and merging of droplets and “formations” due to collision is the basis of condensation-inertial mechanism of dust capture in jet scrubbers [2].
Under the above conditions equations of model system will take the following form:
Motion equation of a mass-median droplet with variable mass
equation of heat transfer between droplet and vapor-gas flow
equation of mass transfer between droplet and the i-th component of vapor-gas flow
equation of mass transfer between “formation” and the i-th component of vapor-gas flow
continuity equation for i-th reacting components, including vapor of liquid
continuity equation for (mass concentration) of non-reacting component of the vapor-gas mixture
continuity equation for (mass concentration) of “formations”
continuity equation for (mass concentration) of droplets
equation of heat transfer between “formation” and vapor-gas flow
equation of convective heat transfer between vapor-gas flow and droplets and “formations”
general rate of droplet mass change due to evaporation-condensation and absorption of removed gas components (droplet collision is assumed unlikely) and “formation” absorption
general rate of “formation” mass change (“formation” collision is assumed unlikely )
continuity equation for (mass concentration) of dry particles
The following closure relationships shall be added to equations (1-13):
for the force of droplet aerodynamic resistance per a unit of droplet mass,
where relative coefficient of droplet resistance is
coefficient of “formation” entrainment according to the empirical formula of Langmuir–Blodgett with Fuchs correction on engagement effect [1]
where
mass transfer coefficient of the i-th component with droplets both via evaporation-condensation and absorption-desorption [2]
Stefan correction on increased moisture content
barometric (total) pressure
density of vapor-gas mixture
state equation for gas components and vapor of liquid
diffusion coefficient of the i-th component in non-reacting component of the vapor-gas flow (we assume that its fraction in the flow is predominant)
coefficient of droplet heat transfer according to Drake’s formula
countable concentrations of droplets and “formations”
heat and mass transfer coefficients of “formations”
heat capacity of the vapor-gas mixture
specific heat of gas absorption with the made assumptions [6]
it can be assumed for water vapors that
according to Henry’s law for partial saturation pressure at the interface between i-th gas components, the equilibrium condition is [6]
where
The equation for mass concentration of dissolved i-th gas component in the kilogram per 1 kg of dissolvent in the droplet and “formation” is written as
Diameters of specific spherical volume of dissolvent for “formation” δf and droplet δd are calculated by equations:
“formation” diameter is
where ρs is solution density, kg/m3.
The reactive force in equation (1) is neglected because of evaporation-condensation and absorption [2]. In equation (2) specific heat capacity
As it is shown in [2], in most technically implemented situations it is possible to use a single-dimensional model for calculation of heat and mass transfer in irrigation chambers, what is determined by the vertical position of apparatuses (hollow jet scrubbers HJC); at their horizontal position it is determined by high velocities of cleaned gases, dust particles and droplets (Venturi scrubber VS), when the gravity force, influencing the flow components and causing its 2D character, is low in comparison with the inertia forces.
The calculation scheme of the problem for the vertical construction of apparatus is shown in Fig. 1а). The scheme of interaction between a droplet of washing liquid dispersed by the jets with vapor-gas flow and dust particles is shown in Fig. 1b).
The hollow jet scrubber HJS can have direct-flow and counter-flow construction. In the direct-flow scheme the initial parameters of the vapor-gas flow, irrigating liquid and dust are set on one side (inlet) of apparatus, and the resulting parameters are achieved at the apparatus outlet. In the counter-flow scheme the parameters of vapor-gas flow and dust are set on one side of apparatus, the parameters of irrigating liquid are set on the opposite side (at apparatus outlet). Scheme 1а) is attributed to the counter-flow. From the point of numerical implementation the direct-flow scheme is the Cauchy problem, and the counter-flow scheme is the boundary problem. Let’s perform calculations for the direct-flow scheme according to the known experimental data for generalized volumetric mass transfer coefficients, shown in [6, p. 562], for different gases absorbed on dispersed water. The calculation scheme is shown in Fig. 2 (it is conditional, the construction can differ).
The HJS scheme:
The scheme of direct-flow HJS
The problem will be solved in the stationary statement. The boundary conditions are set at
Continuity equations (6) and (8) in stationary single-dimensional case can be reduced to the following, as in [2], analytical dependences:
where
efficiency of dust capture and gas component removal is determined by relationships:
Calculation results on absorption of СО2 by water droplets in the direct-low hollow jet scrubber are shown in Fig. 3. There are no any restrictions for calculations by solubility limit (concentration of gas dissolving in the droplet). However, the solubility limits exists as the experimental fact for gases, presented in tables of Hand-books as absorption coefficient α, in volumetric fractions reduced to 0 °С and pressure of 0.1 MPa or in the form of solubility coefficient
Calculation of СО2 absorption in direct-flow jet scrubber:
273 | \n\t\t\t283 | \n\t\t\t293 | \n\t\t\t303 | \n\t\t\t313 | \n\t\t\t323 | \n\t\t\t333 | \n\t\t\t353 | \n\t\t\t373 | \n\t\t|
1.713 | \n\t1.194 | \n\t0.878 | \n\t0.665 | \n\t0.530 | \n\t0.436 | \n\t0.359 | \n\t… | \n\t… | \n|
55.6 | \n41.8 | \n33.6 | \n27.6 | \n23.7 | \n21.3 | \n19.5 | \n17.7 | \n17.0 | \n
Absorption coefficients for СО2 and СН4\n\t\t\t\t\t\t\t
It follows from this table that the limit value of СО2 concentration in a water droplet is
where
This value shall limit concentration of СО2 dissolved in the droplet. It can be seen in Fig. 3а) that according to Table 1 calculated value of
For calculated situation with consideration of partial density of dry air at the inlet
Let’s compare the obtained result with the value achieved via the empirical volumetric mass transfer coefficient, shown in [6, p. 562] (in our nomenclature):
Here
Let’s write down the value of obtained coefficient per an area unit of apparatus cross-section via coefficient
where
Substituting (46) into (47) and assuming
where q is irrigation coefficient, m3 of water/ м3 of vapor-gas flow at apparatus inlet.
Let’s transform formula (48), and finally for calculation we obtain dependence
For the considered situation
Let’s take the average experimental data of [6] as the calculation working height of absorber
since
Calculated (45) and experimental (50) results differ by Δ≈13 %. If we take
It follows from formula (42) for calculated concentration difference at apparatus inlet and outlet that
where calculated value is
Previous comparison can be made in the relative form, what will prove the validity of calculation of mass transfer coefficient as a measure determining process intensity, on the basis of model in comparison with its experimental expression [6]:
where it is assumed that
Here
Extractions per a total volume of apparatus can be presented as, kg/h,
On the other hand
Hence, with consideration of formulas (46) and (53) we will obtain the relationship for volumetric mass transfer coefficients (theoretical and experimental ones)
after elementary reductions in numerator and denominator this corresponds to formula (51). Here
Calculations results for the same situation as in Fig. 3 are shown in Fig. 4, but for the increased moisture content
Calculation by formula (48) for height
what differs from the theoretical value by 3 %. Here
According to comparison, the model agrees well with the experimental data.
In calculations tabular data
Partial pressures of saturated water vapors on droplet and “formation” surfaces were calculated by formula [2] (the partial pressure of saturated vapors of gas components were not taken into account)
where
For hydrogen sulfide
Calculation results on absorption of hydrogen sulfide on a water droplet from the vapor-gas flow are shown in Fig. 5.
Theoretical value of
Calculation by formula (48) with experimental mass transfer coefficient gives for
where
Calculation of hydrogen sulfide absorption:
If there are no tabular data for
Thus, in [8, p. 260-261] there are tabular data for SO2 for
0 | \n\t\t10 | \n\t\t20 | \n\t\t30 | \n\t\t40 | \n\t|
79.8 | \n\t\t56.7 | \n\t\t39.4 | \n\t\t27.2 | \n\t\t18.8 | \n\t|
22.8 | \n\t\t16.2 | \n\t\t11.3 | \n\t\t7.8 | \n\t\t5.41 | \n\t|
2.8571 | \n2.8571 | \n2.8680 | \n2.8676 | \n2.8777 | \n
Volumetric
According to this Table,
First, for this case we calculate
As a result, the following approximation was obtained by formula (61) for SO2
Knowing
Following calculation is performed by the general scheme (formulas (31)–(35)).
Results of calculation are shown in Fig. 6 at ventilation of air humidity
According to calculation of extracted SO2 for the given case (
for
at
Comparison of
According to calculation, Fig. 6c), methane is not absorbed by water. However, even for methane comparison of calculation with experiment yields satisfactory agreement:
at
We should note that absorber height
For СН4\n\t\t\t\t\t
Calculation of SO2 and CH4 absorption in direct-flow jet scrubber:
Calculations of combined condensation dust capture and absorption extraction of hydrogen sulfide from the vapor-air flow in direct-flow hollow scrubber are shown in Fig. 7. Calculated parameters are shown below the figure. According to Fig. 7а), even at increased moisture content the size of droplets increases weak due to condensation. Therefore, for similar processes the equation of droplet motion can be calculated with a constant mass.
An increase in the size of “formations” is more significant due to condensation of water vapors on them: for
Calculation of combined air cleaning from submicron dust and hydrogen sulfide in direct-flow scrubber:
Calculation results on Н2S absorption and condensation capture of dust with different sizes in Venturi scrubber are shown in Fig. 8. As an example the Venturi scrubber with following parameters was chosen for calculations: diameter of Venturi tube mouth
The mean-mass size of droplets in the tube mouth was calculated by Nukiyama-Tanasava formula [1]:
where
Velocity
Dependences of droplet size along the diffuser length are presented in Fig. 8а). It can be seen that firstly condensation of water vapors occurs intensively, then this process stops at the length of
A change in droplet temperature due to convective heat transfer between droplets and vapor-gas flow, thermal effects of water vapor condensation on droplets, and gas dissolution is shown in Fig. 8d). A change in mass concentration of Н2S dissolved in a droplet is shown in Fig. 8c). It is obvious that absorption is almost completed at the length of tube diffuser 1 for this version of calculation. The same circumstance is illustrated by mass concentration of Н2S in “formation” condensate along the diffuser in Fig. 8c). According to the figure, the solubility limit on “formations” and droplets is not achieved as in the hollow jet scrubbers. A change in “formation” size due to water vapor condensate on their surfaces is illustrated in Fig. 8f). It can be seen that firstly water vapors condense very intensively, then at the distance of about
Calculation of Н2S absorption and dust capture in Venturi scrubber (calculated parameters are presented in the text)
It is necessary to note that these calculation versions do not meet the conditions of optimal scrubber operation; they only illustrate the character of complex gas cleaning. To determine the optimal regimes, a series of calculation on the basis of suggested model should be carried out and analyzed for the specific industrial conditions.
Let’s turn to comparison of calculation results with the known experimental data. The experimental volumetric mass transfer coefficient is shown in [6] for NH3 absorption in the Venturi tube with mouth diameter
where
The experimental value of Н2S absorbed in Venturi tube is expressed by formula, kg/h,
where
The theoretical value of mass of absorbed gas, kg/h, is
Then
where (see Fig. 9) the volume of truncated cone is
Substituting (67), (71) into (70), at α=6°,
where for Н2S
The scheme of Venturi tube
The amount of absorbed Н2S for the version of calculation in Fig. 8 (
For the scrubber with
The experimental values of efficiency of condensation capture of submicron dust are compared with results of model calculation inn [2, 11, 12] at the example of deposition of ash particles from cracking gases under the industrial conditions in hollow jet scrubbers [13]; good agreement is achieved.
Let’s consider this important question in detail as an addition to iss. 2 at the example of water absorption of SO2, comparing calculation and experimental data [6] on volumetric mass transfer coefficient.
It follows from equation (3) that
where, according to formulas (26) and (38)
In (73) and (74), according to calculation results, it is assumed that
Let’s put
where
Lets’ turn dependence (74) to the following form using the theorem about an average for integral:
where
Expressing velocity
Calculation of SO2 absorption in direct-flow jet scrubber:
We should note that multiplier
Numerical calculation by the model give the value of SO2 extraction
The difference is 17 %, what is a sequence of simplifications and averaging in dependence (76).
If we assume average concentration difference in accordance to average experimental height
The difference with
Distribution of
If we take
On the basis of analysis performed the calculated concentration difference should be recommended for practical application as the most appropriate
at determination of the value of extracted gas component by formula (49), thus, it is necessary to measure
The suggested physical-mathematical model of complex heat and mass transfer and condensation-absorption gas cleaning from dust and harmful gaseous components is confirmed by the known experimental data and can be used for engineering calculations and optimization of construction and operation parameters of hollow jet scrubbers of direct and counter flow types. This was proved by its numerical implementation for the specific conditions. Calculations on absorption of some gases (СО2, Н2S, SO2, CH4) on water droplets, dispersed by coarse centrifugal nozzles in hollow direct-flow jet scrubber and pneumatic Venturi scrubber from wet air is shown in the current paper together with calculation of combined absorption-condensation air cleaning from Н2S and various-sized fine dust in these apparatuses at an increased moisture content. The system of model equations is written at some certain conditions for the multicomponent vapor-gas mixture with particle. This makes it possible to use this system for calculation of complex gas cleaning from several harmful gas components and several fractions of dust particles and investigate regularities of this process.
For decades, researchers in a diverse array of scientific fields have been working to understand the pathogenesis of neurodegenerative diseases including Alzheimer’s disease (AD) and amyotrophic lateral sclerosis (ALS). However, there is still much discourse within the scientific community on what exactly causes such diseases to occur. In recent years, the endoplasmic reticulum (ER), has been implicated in the progression of neurological diseases [1] including AD, ALS, epilepsy, and human immunodeficiency virus (HIV)-associated neurocognitive disorder (HAND). To understand how exactly this cellular organelle can lead to such detrimental neurological disorders, a basic understanding of the function of the ER is necessary.
The ER is a cellular organelle that functions to fold proteins correctly following their translation by ribosomes. The ER also plays an integral role in physiological homeostasis, primarily via calcium regulation [2] and protein synthesis [3]. Typically, correctly folded proteins are secreted by the ER and are transported to the Golgi body for further processing and sorting for transport to their eventual destinations. However, ER overload results in protein misfolding and accumulation of unfolded proteins in the ER lumen, which induces ER stress [4]. ER stress signals the cell to enter the survival pathway and initiates an unfolded protein response (UPR) [5] through three ER membrane-associated proteins: inositol requiring enzyme 1 (IRE1), pancreatic ER kinase (PERK), and activating transcription factor-6 (ATF6) [6].
IRE1 (encoded by the
PERK reduces protein synthesis by inactivation of eukaryotic initiation factor 2α, leading either to a pro-apoptotic pathway or a protective pathway involving chaperones and foldases [9]. Thus, PERK expression will mitigate the additional buildup of proteins within the ER. However, in extreme conditions, the cell suffers apoptosis in response to excessive misfolded protein aggregation [10].
Finally, ATF6 increases the transcription of several ER proteins including chaperones, foldases, and ERAD elements. These ER proteins increase the cell’s ability to fold proteins and reduce the load of unfolded proteins in the ER [11].
These ER stress proteins communicate between ER and mitochondria in the region called the mitochondria-associated ER membrane [9]. Activation of all three of these transmembrane proteins is prompted by unfolded protein buildup in the lumen of the ER, which in turn activates the nuclear transcription of ERAD elements (Figure 1).
A scheme of the unfolded protein response in cells with ER stress. Illustration created with
Thus, the role of ER stress in the progression of AD, ALS, epilepsy, and HAND are of rising interest in the scientific community and may serve as a possible explanation for their development. Due to the increasing evidence implicating ER stress in these diseases, researchers have shifted their focus to studying possible treatments that target the ER to mitigate disease progression. In this chapter, we will discuss the role of ER stress in AD, ALS, epilepsy, and HAND, and review the current therapeutic options for treating ER stress such as omega fatty acids including docosahexaenoic acid (DHA), and progesterone.
AD is a progressive neurodegenerative disease characterized by the buildup of the cytotoxic protein aggregates amyloid-beta (Aβ) and fibrillary phospho-tau (P-τ). Within the brain, Aβ accumulates into plaques that can block synaptic function [12], induce ER stress [13], and ultimately cause neuronal apoptosis [14]. These cytotoxic proteins ultimately lead to widespread neurodegeneration leading to cognitive decline [12]. AD can arise via genetic factors in familial AD (fAD) or lifestyle factors in sporadic AD (sAD), but ER stress has been shown to play a role in the progression of both cases.
Many factors including oxidative stress, mitochondrial dysfunction, glutamate-induced neurotoxicity, and imbalance of calcium contribute to ER stress and UPR induction in AD patients [15].
Oxidative stress in the cell often results from the buildup of reactive oxygen species (ROS) from dysfunctional mitochondria [16] and can induce ER stress. In patients with AD, an imbalance in antioxidants can lead to an increase in ROS which can cause widespread cell damage [16]. In normal aging, this antioxidant imbalance is increasingly common and the body is often pushed into a “pro-oxidative state” meaning that the level of ROS is higher than normal [17]. However, in patients with AD, the aggregation of Aβ exacerbates this pro-oxidative state [18]. A 2001 study revealed that Aβ’s interaction with Iron within the brain causes increased ROS, and by treating aggregated Aβ with an Iron chelator there is a marked reduction of neural toxicity [18]. Typically, ROS levels are mediated by the ER proteins PERK and ATF6. However, when ROS levels exceed the normal range, PERK and ATF6 are unable to produce enough antioxidants, and the ER enters a state of ER stress [17], exacerbating cellular dysfunction and leading to neuronal apoptosis (Figure 2).
A scheme depicting the effect of decreased antioxidants, glutamate neurotoxicity (GNT), and amyloid-beta (Aβ) aggregation on the buildup of ROS and ER stress in AD patients. Image created with
Additionally, glutamate has been implicated in the buildup of ROS in the AD brain. When glutamate binds to NMDA receptors, this prompts glutamate-induced neurotoxicity (GNT). GNT causes a major influx of calcium into the cell and prompts the release of ROS from the mitochondria [19]. A buildup of GNT in the AD brain can impair glutamate receptors necessary for metabolism [20], lead to increased production of ROS, and cause an imbalance of cytosolic calcium leading to cell death (Figure 2) [19].
However, the exact etiology of AD concerning ER stress is still under investigation. Recent studies have pointed to the buildup of Aβ and P-τ as the cause of the development of ER stress and the UPR [13]. On the other hand, some believe that ER stress arises from increased ROS in the brain, leading to the buildup of Aβ and P-τ, which are released into the brain following cellular apoptosis [21]. Therefore, the sequence of biochemical events in AD is still very much under debate.
Additionally, the presenilin proteins have been implicated in ER-stress-mediated AD pathogenesis. Presenilin 1 (PS1) and presenilin 2 (PS2) are part of the γ-secretase complex which mediates the cleavage of the amyloid-beta precursor protein (APP) [22]. In fAD, mutations in these proteins have been found to alter the amyloid precursor protein (APP) cleavage process, resulting in higher levels of cytotoxic Aβ [21]. The mutant PS1 affects the ER stress response attributed to the inhibited activation of the ER stress pathways IRE1, PERK, and ATF6. Cells expressing PS1 mutants also display increased Aβ production and increased sensitivity to apoptosis caused by ER stress [21]. Therefore, the damage associated with the PS1 mutant proteins cannot be reversed by chaperones and folding proteins, and apoptosis is the most common outcome. In patients with sAD, mutations in the PS2 gene are also linked to disease progression by downregulation of the UPR pathways [23].
The target genes of the transcription factor XBP1 are also linked to AD. XBP1 affects the expression of at least one of the key proteins in the γ-secretase complex, primarily UBQLN1, the gene coding for ubiquitin, which is a negative regulator of presenilins. UBQLN1 plays a role in the control of APP trafficking. Therefore, in the production of Aβ, reduced expression of XBP1 in AD increases the production of Aβ and causes apoptosis [24].
Thus, the combined effects of a buildup of ROS, mitochondrial dysfunction, GNT, and presenilin mutation exacerbate the effects of normal aging in patients with AD and lead to an increase in ER stress. Thus, ER stress has been shown to play an integral role in the pathogenesis of AD through several pathways.
Epilepsy is a neurological disease that involves chronic seizures as well as abnormal brain activity, which causes periods of unusual behavior or sensations [25]. There are different types of epileptic seizures, including generalized, focal, and unknown onset epilepsy, which differ in the area in which seizures occur [26]. The most common type of epilepsy among adults is focal epilepsy known as temporal lobe epilepsy (TLE), however, patients who continue to experience seizures are at risk of other areas of the brain becoming damaged, such as the hippocampus [27].
Current research incriminates ER stress as an important factor in the pathogenesis of epilepsy [25]. Neuronal death after a seizure is caused by apoptotic signaling pathways, of which there have been two gene families identified to be critical. These gene families are the Bcl-2 family proteins and the caspases [27], which have both been linked to ER stress generation [28]. Bcl-2 proteins are apoptosis regulators, and caspases are proteases that cleave certain proteins and enzymes that induce apoptosis. A study on the hippocampus of patients with epilepsy in 2006 revealed that caspases 6, 7, and 9 were higher in patients with epilepsy than in controls and were localized to the ER-containing region of the temporal lobe [27]. Additionally, patients’ hippocampal regions contained altered levels of Bcl-2 protein and an increase in both the ER stress-related motif KDEL and calnexin [27]. KDEL and calnexin are markers for ER stress and were used here to examine levels of ER stress in epilepsy patients [27, 29]. Finally, the researchers showed co-localization of the ER stress marker KDEL and caspases within the epileptic patients’ brain [27]. Thus, this study found that apoptotic pathways in epilepsy are directly linked to the ER and can induce ER stress.
The ER stress-related pathways discussed earlier were also abnormal in animal studies. In a rat model of status epilepticus (SE), phosphorylated PERK (p-PERK), phosphorylated eIF2α (p-eIF2α), and C/EBP homologous protein (
The neurologic disorder ALS is characterized by its neuropathology demonstrating neuronal apoptosis in the spinal cord and brain, and inflammatory attack of neurons induced by aggregated superoxide dismutase (SOD-1) and other stimuli [32, 33]. The progression of ALS is associated with a gradual decrease in movement, paralysis, and overall weakness [34]. ALS has a sporadic form (sALS) with an unknown cause and a familial form (fALS) [35].
ER stress in individuals with fALS can be triggered by the Cu/Zn SOD-1 protein malfunction. This protein is responsible for degrading ROS, therefore, a mutation in SOD-1 promotes the disease [36]. As previously described, the increase of ROS results from the increase in GNT and a greater amount of calcium within the cell, damaging both the ER and mitochondria [1]. Disease progression of ALS is identified by mitochondrial dysfunction and a change in the mitochondrial membrane structure due to a release in molecules that initiate apoptosis [21]. Due to the aggregation of mutated SOD1 in the mitochondria of motor neurons, motor skills are adversely affected [35]. The protein previously implicated in neuronal apoptosis in epilepsy, Bcl-2, is also responsible for maintaining the structural integrity of the mitochondrial membrane [37]. When mutated SOD-1 interacts with the Bcl-2 protein in ALS patients, the membrane is weakened. Thus, there is an increase in ROS production due to the mutation of the SOD-1 protein creating an increase in ER stress in individuals with ALS (Figure 3) [21].
A scheme depicting the cycle of ER stress buildup in ALS. Illustration created with
In ALS individuals, caspase activation is also common [38]. We know from caspase’s role in epilepsy that caspases have been implicated in neuronal apoptosis and ER stress genesis [28]. Caspase activation is especially prevalent when the SOD1 mutation is present. In a mouse model of mutant Cu/Zn SOD-1 exhibiting symptoms of ALS, an increase in oxidative stress was related to activation of caspase 12, 9, and 3 in the spinal cord [38]. Caspase 12 is located in the endoplasmic reticulum [39] wherein the cleavage of this enzyme overall increases the oxidative stress further causing an exaggeration of ALS symptoms in the mice. This cleavage of caspase-12 may be a result of the activation of calpain, a calcium-dependent enzyme, in the mice’s spinal cord [21].
Thus, SOD-1 aggregates in individuals with ALS exacerbate ROS release and mitochondrial dysfunction, which induces ER stress and leads to eventual neuronal apoptosis.
Human immunodeficiency virus 1 (HIV-1) is the result of acquired immunodeficiency syndrome (AIDS), characterized by the destruction of CD4 T cells [40]. In addition to the dramatic opportunistic infection
ER stress and UPR activation play a large role in the neurodegeneration of AIDS and HIV-1 patients and, thus, are a potential therapeutic target. In HAND, the expression of the three UPR pathways in astrocytes leads to the opening of the mitochondrial permeability transition pore (mPTP) linked to apoptosis [42]. The inflammatory cytokine IL-1β along with ART drugs increases cytosolic calcium and triggers ER stress through upregulation of UPR pathways, mitochondrial depolarization, excitotoxicity, and increased ROS [43]. A recent study in 2020 examined the effects of ART on the ER stress pathway in HAND. The researchers found that HIV along with IL-1β increased the UPR transcripts IRE1, PERK, and ATF6. Another HAND signal, the nucleotide reverse transcriptase inhibitor (NRTI) abacavir, upregulated AEG-1 transcription and regulated calcium signaling and ER quality control by co-localizing with calnexin, an integral calcium-dependent chaperon protein in the ER [43]. Together, IL-1B and abacavir induce increased intracellular calcium (via ER calcium release) in astrocytes to levels comparable to that of the known ER stressor thapsigargin [43]. A prolonged intracellular increase in calcium triggers mitochondrial depolarization and ER stress response, as it increases mitochondrial permeability transition pore (mPTP). The mPTP opening leads to increased ROS as well as calcium-dependent exocytosis of glutamate, which causes GNT and neuronal damage experienced in HAND [43].
Additionally, HIV-1 upregulates the Tat protein, which induces GNT, ER stress, mitochondrial dysfunction, and UPR [44]. Therefore, astrocyte ER stress could act as a therapeutic target for HIV-1 neuronal infection: IL-1β and abacavir induce intracellular calcium dysregulation and mitochondrial dysfunction (mPTP opening), which can lead to apoptosis via triggering ER stress and increase in UPR signaling pathways [43].
Due to its implications in a variety of neurodegenerative diseases, ER stress and UPR proteins are growing targets for immunotherapy treatment for several neurological disorders. Various lipid-based molecules such as omega-3 fatty acids and progesterone induce neuroprotective effects against ER stress, regulating Aβ-induced neuroinflammation.
Omega-3 fatty acids have been found to modulate UPR counteracting ER stress. In macrophages of patients with AD and mild cognitive impairment (MCI),
Docosahexaenoic acid (DHA), a specific omega-3 fatty acid beneficially responds to the ER stress induced by traumatic brain injury (TBI), which triggers calcium homeostatic disruption. The mechanism by which DHA prevents ER stress is through its protectins, which block ER stress-inducing IP3R-mediated ER Ca2+ depletion [45]. Protectins such as neuroprotection D1 (NPD1), a DHA derivative, upregulate anti-apoptotic factors and downregulate pro-apoptotic factors [45]. In addition, DHA’s resolving derivatives also directly decrease the inflammation responses to ER stress by blocking pro-inflammatory cytokines TNF-α and ILβ1 as well as reducing pro-inflammatory mediators prostaglandin E2, thromboxanes, and leukotrienes [45]. DHA administration reduced post-TBI increase of CHOP
The neurosteroid progesterone has additionally been seen to improve ER stress in its applications in AD astrocytes with the release of IL-1 and TNF-α [47]. In these AD cells, Aβ-induced ER stress and inflammation were mediated by progesterone. Progesterone is associated with the downregulation of pro-inflammatory cytokines which in turn reduces ER stress activation. This effect is further shown through progesterone’s attenuation of GRP78 expression, which is implicated in amyloid-beta-induced ER stress response [47].
Though therapies targeting neurodegenerative diseases such as ALS or epilepsy have not implicated ER stress as a potential therapeutic target, substantial research on ER stress treatment in AD brains has uncovered omega-3 fatty acids such as DHA and neurosteroid progesterone as potential supplemental therapies for ER stress and neuroinflammation.
ER stress has been implicated in several neurological and infectious diseases, primarily AD, ALS, epilepsy, and HIV-1. In AD, mutant PS1 and PS2 induced amyloid-beta aggregation and an increase in ROS lead to ER stress and neuronal death. In ALS, aggregated SOD-1 increases the buildup of ROS in the cytoplasm, inducing ER stress. Patients with epilepsy have also shown elevated ER stress with increased levels of pro-apoptotic chaperones, yet the exact mechanism is still under investigation. Finally, HIV-1-associated neurocognitive decline leads to a buildup of the pro-inflammatory cytokine IL-1B which induces ER stress and exacerbates neurocognitive decline. The apparent role of ER stress in the progression of these neurological and infectious diseases has prompted scientists to explore treatments targeting ER stress and the UPR. Treatment with omega fatty acids, progesterone, and DHA have shown positive effects on ER stress levels in patients with AD, yet a true treatment has not been developed.
The authors declare no conflict of interest.
Edited by Jan Oxholm Gordeladze, ISBN 978-953-51-3020-8, Print ISBN 978-953-51-3019-2, 336 pages,
\nPublisher: IntechOpen
\nChapters published March 22, 2017 under CC BY 3.0 license
\nDOI: 10.5772/61430
\nEdited Volume
This book serves as a comprehensive survey of the impact of vitamin K2 on cellular functions and organ systems, indicating that vitamin K2 plays an important role in the differentiation/preservation of various cell phenotypes and as a stimulator and/or mediator of interorgan cross talk. Vitamin K2 binds to the transcription factor SXR/PXR, thus acting like a hormone (very much in the same manner as vitamin A and vitamin D). Therefore, vitamin K2 affects a multitude of organ systems, and it is reckoned to be one positive factor in bringing about "longevity" to the human body, e.g., supporting the functions/health of different organ systems, as well as correcting the functioning or even "curing" ailments striking several organs in our body.
\\n\\nChapter 1 Introductory Chapter: Vitamin K2 by Jan Oxholm Gordeladze
\\n\\nChapter 2 Vitamin K, SXR, and GGCX by Kotaro Azuma and Satoshi Inoue
\\n\\nChapter 3 Vitamin K2 Rich Food Products by Muhammad Yasin, Masood Sadiq Butt and Aurang Zeb
\\n\\nChapter 4 Menaquinones, Bacteria, and Foods: Vitamin K2 in the Diet by Barbara Walther and Magali Chollet
\\n\\nChapter 5 The Impact of Vitamin K2 on Energy Metabolism by Mona Møller, Serena Tonstad, Tone Bathen and Jan Oxholm Gordeladze
\\n\\nChapter 6 Vitamin K2 and Bone Health by Niels Erik Frandsen and Jan Oxholm Gordeladze
\\n\\nChapter 7 Vitamin K2 and its Impact on Tooth Epigenetics by Jan Oxholm Gordeladze, Maria A. Landin, Gaute Floer Johnsen, Håvard Jostein Haugen and Harald Osmundsen
\\n\\nChapter 8 Anti-Inflammatory Actions of Vitamin K by Stephen J. Hodges, Andrew A. Pitsillides, Lars M. Ytrebø and Robin Soper
\\n\\nChapter 9 Vitamin K2: Implications for Cardiovascular Health in the Context of Plant-Based Diets, with Applications for Prostate Health by Michael S. Donaldson
\\n\\nChapter 11 Vitamin K2 Facilitating Inter-Organ Cross-Talk by Jan O. Gordeladze, Håvard J. Haugen, Gaute Floer Johnsen and Mona Møller
\\n\\nChapter 13 Medicinal Chemistry of Vitamin K Derivatives and Metabolites by Shinya Fujii and Hiroyuki Kagechika
\\n"}]'},components:[{type:"htmlEditorComponent",content:'This book serves as a comprehensive survey of the impact of vitamin K2 on cellular functions and organ systems, indicating that vitamin K2 plays an important role in the differentiation/preservation of various cell phenotypes and as a stimulator and/or mediator of interorgan cross talk. Vitamin K2 binds to the transcription factor SXR/PXR, thus acting like a hormone (very much in the same manner as vitamin A and vitamin D). Therefore, vitamin K2 affects a multitude of organ systems, and it is reckoned to be one positive factor in bringing about "longevity" to the human body, e.g., supporting the functions/health of different organ systems, as well as correcting the functioning or even "curing" ailments striking several organs in our body.
\n\nChapter 1 Introductory Chapter: Vitamin K2 by Jan Oxholm Gordeladze
\n\nChapter 2 Vitamin K, SXR, and GGCX by Kotaro Azuma and Satoshi Inoue
\n\nChapter 3 Vitamin K2 Rich Food Products by Muhammad Yasin, Masood Sadiq Butt and Aurang Zeb
\n\nChapter 4 Menaquinones, Bacteria, and Foods: Vitamin K2 in the Diet by Barbara Walther and Magali Chollet
\n\nChapter 5 The Impact of Vitamin K2 on Energy Metabolism by Mona Møller, Serena Tonstad, Tone Bathen and Jan Oxholm Gordeladze
\n\nChapter 6 Vitamin K2 and Bone Health by Niels Erik Frandsen and Jan Oxholm Gordeladze
\n\nChapter 7 Vitamin K2 and its Impact on Tooth Epigenetics by Jan Oxholm Gordeladze, Maria A. Landin, Gaute Floer Johnsen, Håvard Jostein Haugen and Harald Osmundsen
\n\nChapter 8 Anti-Inflammatory Actions of Vitamin K by Stephen J. Hodges, Andrew A. Pitsillides, Lars M. Ytrebø and Robin Soper
\n\nChapter 9 Vitamin K2: Implications for Cardiovascular Health in the Context of Plant-Based Diets, with Applications for Prostate Health by Michael S. Donaldson
\n\nChapter 11 Vitamin K2 Facilitating Inter-Organ Cross-Talk by Jan O. Gordeladze, Håvard J. Haugen, Gaute Floer Johnsen and Mona Møller
\n\nChapter 13 Medicinal Chemistry of Vitamin K Derivatives and Metabolites by Shinya Fujii and Hiroyuki Kagechika
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Genomics studies of large populations are producing a huge amount of data, giving rise to computational issues around the storage, transfer, and analysis of the data. Fortunately, cloud computing has recently emerged as a viable option to quickly and easily acquire the computational resources for large-scale NGS data analyses. Some cloud-based applications and resources have been developed specifically to address the computational challenges of working with very large volumes of data generated by NGS technology. 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Data deluge brings substantial challenges in the collection and management of massive amounts of unstructured data towards decision making. Likewise, unprecedented production of information exceeds the ability of authoritative bodies to create regulations and policies that can keep up with these transformations in the nature of work. We explicate the impact of well-timed policies (fiscal and monetary), prediction of long-term structural changes in the industrial sector, industrial strategy formulation practices, and examine the economic studies and analysis of sustainable development in these areas.",book:{id:"11198",title:"Digital Transformation",coverURL:"https://cdn.intechopen.com/books/images_new/11198.jpg"},signatures:"Kinda R. Dahlan, Ahmed A. 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The knowledge presented in this chapter may provide tips and inspiration for some other game projects, and practical and useful notes on the advantages or disadvantages of some systems will be interesting and useful.",book:{id:"11192",title:"Computer Game Development",coverURL:"https://cdn.intechopen.com/books/images_new/11192.jpg"},signatures:"Branislav Sobota, Marián Hudák and Emília Pietriková"},{id:"82300",title:"An Effective Method for Secure Data Delivery in IoT",slug:"an-effective-method-for-secure-data-delivery-in-iot",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.104663",abstract:"The Internet of Things (IoT) has become very popular recently due to its important features that contribute to many aspects of our lives such as health and transportation. It consists of a vast number of different projects such as sensors, tags, actuators, and mobile devices, which can communicate and collaborate without human interactions. These devices carry small memory and low-energy battery, which affects their performance and lead to many issues. In this work, we are going to focus on the efficiency and security issues. We will propose a secure and efficient routing protocol for data delivery in order to improve its performance. The proposed technique will be evaluated in an implemented platform with appropriate case study. The expected outcome of this study will be a reference design and its practical implementation to support efficiency and security in IoT.",book:{id:"11197",title:"Internet of Things - New Trends, Challenges and Hurdles",coverURL:"https://cdn.intechopen.com/books/images_new/11197.jpg"},signatures:"Mnar Alnaghes, Nickolas Falkner and Hong Shen"}],onlineFirstChaptersTotal:99},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). 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He also has an honorary appointment to serve as a Collaborative Professor at Kanazawa University, Japan, from Mar 2015 to the present. \nFormerly, Dr. Rahman was a faculty member of the University of Chittagong, Bangladesh, affiliated with the Department of Chemistry (Oct 2002 to Mar 2012) and the Department of Applied Chemistry and Chemical Engineering (Mar 2012 to Sep 2015). Dr. Rahman was also adjunctly attached with Kanazawa University, Japan (Visiting Research Professor, Dec 2014 to Mar 2015; JSPS Postdoctoral Research Fellow, Apr 2012 to Mar 2014), and Tokyo Institute of Technology, Japan (TokyoTech-UNESCO Research Fellow, Oct 2004–Sep 2005). \nHe received his Ph.D. degree in Environmental Analytical Chemistry from Kanazawa University, Japan (2011). He also achieved a Diploma in Environment from the Tokyo Institute of Technology, Japan (2005). Besides, he has an M.Sc. degree in Applied Chemistry and a B.Sc. degree in Chemistry, all from the University of Chittagong, Bangladesh. \nDr. Rahman’s research interest includes the study of the fate and behavior of environmental pollutants in the biosphere; design of low energy and low burden environmental improvement (remediation) technology; implementation of sustainable waste management practices for treatment, handling, reuse, and ultimate residual disposition of solid wastes; nature and type of interactions in organic liquid mixtures for process engineering design applications.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",slug:"zinnat-ara-begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",biography:"Zinnat A. 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The research focus of Dr. Zinnat includes the effect of the relative stability of metal-chelator complexes in the environmental remediation process designs and the development of eco-friendly soil washing techniques using biodegradable chelators.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorThree:null},{id:"39",title:"Environmental Resilience and Management",coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",isOpenForSubmission:!0,editor:{id:"137040",title:"Prof.",name:"Jose",middleName:null,surname:"Navarro-Pedreño",slug:"jose-navarro-pedreno",fullName:"Jose Navarro-Pedreño",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRAXrQAO/Profile_Picture_2022-03-09T15:50:19.jpg",biography:"Full professor at University Miguel Hernández of Elche, Spain, previously working at the University of Alicante, Autonomous University of Madrid and Polytechnic University of Valencia. Graduate in Sciences (Chemist), graduate in Geography and History (Geography), master in Water Management, Treatment, master in Fertilizers and Environment and master in Environmental Management; Ph.D. in Environmental Sciences. His research is focused on soil-water and waste-environment relations, mainly on soil-water and soil-waste interactions under different management and waste reuse. His work is reflected in more than 230 communications presented in national and international conferences and congresses, 29 invited lectures from universities, associations and government agencies. Prof. Navarro-Pedreño is also a director of the Ph.D. Program Environment and Sustainability (2012-present) and a member of several societies among which are the Spanish Society of Soil Science, International Union of Soil Sciences, European Society for Soil Conservation, DessertNet and the Spanish Royal Society of Chemistry.",institutionString:"Miguel Hernández University of Elche, Spain",institution:null},editorTwo:null,editorThree:null},{id:"40",title:"Ecosystems and Biodiversity",coverUrl:"https://cdn.intechopen.com/series_topics/covers/40.jpg",isOpenForSubmission:!0,editor:{id:"209149",title:"Prof.",name:"Salustiano",middleName:null,surname:"Mato",slug:"salustiano-mato",fullName:"Salustiano Mato",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRLREQA4/Profile_Picture_2022-03-31T10:23:50.png",biography:"Salustiano Mato de la Iglesia (Santiago de Compostela, 1960) is a doctor in biology from the University of Santiago and a Professor of zoology at the Department of Ecology and Animal Biology at the University of Vigo. He has developed his research activity in the fields of fauna and soil ecology, and in the treatment of organic waste, having been the founder and principal investigator of the Environmental Biotechnology Group of the University of Vigo.\r\nHis research activity in the field of Environmental Biotechnology has been focused on the development of novel organic waste treatment systems through composting. 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He was also invited to serve as an associate editor for special issues of the Journal of the American Water Resources Association. He has served as an editorial member for international journals such as Hydrology, Journal of Ecology & Natural Resources, and Hydro Science & Marine Engineering, among others. He has chaired or acted as a technical committee member for twenty-five international forums (conferences). Dr. Shang graduated from Tsinghua University, China, in 2010 with a Ph.D. in Engineering. Prior to that, he worked as a research fellow at Harvard University from 2008 to 2009. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. 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Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}}]}},subseries:{item:{id:"13",type:"subseries",title:"Plant Physiology",keywords:"Plant Nutrition, Plant Hormone, Photosynthesis, Respiration, Plant Stress, Multi-omics, High-throughput Technology, Genome Editing",scope:"Plant Physiology explores fundamental processes in plants, and it includes subtopics such as plant nutrition, plant hormone, photosynthesis, respiration, and plant stress. In recent years, emerging technologies such as multi-omics, high-throughput technologies, and genome editing tools could assist plant physiologists in unraveling molecular mechanisms in specific critical pathways. The global picture of physiological processes in plants needs to be investigated continually to increase our knowledge, and the resulting technologies will benefit sustainable agriculture.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/13.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11409,editor:{id:"332229",title:"Prof.",name:"Jen-Tsung",middleName:null,surname:"Chen",slug:"jen-tsung-chen",fullName:"Jen-Tsung Chen",profilePictureURL:"https://mts.intechopen.com/storage/users/332229/images/system/332229.png",biography:"Dr. Jen-Tsung Chen is currently a professor at the National University of Kaohsiung, Taiwan. He teaches cell biology, genomics, proteomics, medicinal plant biotechnology, and plant tissue culture. Dr. Chen\\'s research interests include bioactive compounds, chromatography techniques, in vitro culture, medicinal plants, phytochemicals, and plant biotechnology. He has published more than ninety scientific papers and serves as an editorial board member for Plant Methods, Biomolecules, and International Journal of Molecular Sciences.",institutionString:"National University of Kaohsiung",institution:{name:"National University of Kaohsiung",institutionURL:null,country:{name:"Taiwan"}}},editorTwo:null,editorThree:null,series:{id:"10",title:"Physiology",doi:"10.5772/intechopen.72796",issn:"2631-8261"},editorialBoard:[{id:"313856",title:"Dr.",name:"Christophe",middleName:"F.E.",surname:"Hano",slug:"christophe-hano",fullName:"Christophe Hano",profilePictureURL:"https://mts.intechopen.com/storage/users/313856/images/system/313856.png",institutionString:"University of Orléans",institution:{name:"University of Orléans",institutionURL:null,country:{name:"France"}}},{id:"33993",title:"Dr.",name:"Jose Carlos",middleName:null,surname:"Jimenez-Lopez",slug:"jose-carlos-jimenez-lopez",fullName:"Jose Carlos Jimenez-Lopez",profilePictureURL:"https://mts.intechopen.com/storage/users/33993/images/system/33993.jpg",institutionString:"Spanish National Research Council",institution:{name:"Spanish National Research Council",institutionURL:null,country:{name:"Spain"}}},{id:"191770",title:"Dr.",name:"Mohamed A.",middleName:null,surname:"El-Esawi",slug:"mohamed-a.-el-esawi",fullName:"Mohamed A. 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