\r\n\tWith the discovery of more unconventional heavier crude and alternative hydrocarbon sources, primary upgrading or cracking of the oil into lighter liquid fuel is critical. With increasing concern for environmental sustainability, the regulations on fuel specifications are becoming more stringent. Processing and treating crude oil into a cleaner oil with better quality is equally important. Hence, there has been a relentless and continuous effort to develop new crude upgrading and treating technologies, such as various catalytic systems for more economical and better system performance, as well as cleaner and higher-quality oil.
\r\n\r\n\tThis edited book aims to provide the reader with an overview of the state-of-the-art technologies of crude oil downstream processing which include the primary and secondary upgrading or treating processes covering desulfurization, denitrogenation, demetallation, and evidence-based developments in this area.
",isbn:"978-1-80356-681-8",printIsbn:"978-1-80356-680-1",pdfIsbn:"978-1-80356-682-5",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"808b0ddfb3b92e0636ae44a83ef7dbd9",bookSignature:"Dr. Ching Thian Tye",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11542.jpg",keywords:"Crude Oil Properties, Hydrocracking, Catalytic Cracking, Coking, Visbreaking, Thermal Cracking, Hydroprocessing, Hydrodesulfurization, Desulfurization, Denitrogenation, Demetallation, Dearomatization",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 22nd 2022",dateEndSecondStepPublish:"April 19th 2022",dateEndThirdStepPublish:"June 18th 2022",dateEndFourthStepPublish:"September 6th 2022",dateEndFifthStepPublish:"November 5th 2022",remainingDaysToSecondStep:"a month",secondStepPassed:!0,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Associate professor at the School of Chemical Engineering in Universiti Sains Malaysia and dedicated researcher in fuel-related catalytic process and chemical reaction engineering. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"63531",title:"Introductory Chapter: Recent Advances in Cryptography and Network Security",doi:"10.5772/intechopen.81283",slug:"introductory-chapter-recent-advances-in-cryptography-and-network-security",body:'\nIn the last few decades, we observed a significant development in the field of computing. Initially, we had mainframe systems. Subsequently, personal computers evolved. The physical size of both processors and storage got reduced. With the advent of new technology, the computing power and storage capability increased. In personal computers, we subsequently observed the amalgamation of parallel processing concepts with the development of multicore chips. But more importantly, the technology that developed rapidly was that of Internet and computer networks [1]. Personal computer interconnected via Internet provides significant computing facility to users. The interconnection is either wired or wireless. The size of these computing devices got further reduced with the advent of mobile computing. The handheld mobile devices provide significant computing facility to the users through wireless interconnection. As the computing technology evolved, there is a significant growth in the volume of communicated data across the network. The increased traffic causes delay in data transmission. So, there is necessity of data compression that can reduce the traffic significantly. Different coding and compression techniques for audio, image, video, text, and graphics data emerged to handle these problems. In audio, we have seen different compression schemes like MP3, AVI, etc. Image compression is achieved using JPEG. In video compression, there had been a series of developments in MPEG techniques. Text compression is achieved through different coding techniques like Huffman [2] encoding or Lempel-Ziv-Welch (LZW) encoding [3, 4].
\nAnother problem that has to be addressed is the security and privacy of the huge amount of communicated information through either wired or wireless transmission media. We observed a significant development in the area of cryptography and network security [5]. The area of cryptography concerns secure communication between sender and receiver that should prevent the eavesdropper to tamper or intercept confidential data. Different encryption and decryption techniques evolved for this purpose. They are broadly classified into two types: (a) symmetric-key and (b) public-key cryptosystems. In symmetric-key cryptography, the same key is shared between the sender and the receiver. But in public-key cryptography, the sender sends the encrypted data to the receiver using receiver’s public key. The receiver decrypts the data using his/her own secret key. There are several cryptographic algorithms for both symmetric- and public-key cryptosystems. Figure 1 depicts symmetric-key cryptosystem. Figure 2 depicts public-key cryptosystem. In both figures, the sender is Alice and the receiver is Bob. The unencrypted message M is usually known as plain text. The encrypted message C is called cipher text or in short cipher.
\nSymmetric-key cryptosystem.
Public-key cryptosystem.
Another important aspect of secure communication is that of nonrepudiation. This is achieved by means of digital signature. In public-key cryptosystem, the sender sends both message and the signature that is the encrypted version of the message with the private/secret key of the sender. Figure 3, illustrates the digital signature scheme where the digital signature S = SA(M) is the message encrypted with the secret key of Alice. The 2-tuple (S, M), i.e., the signature along with the message is transmitted to Bob. At the receiving end, Bob applies the public key of Alice to obtain M’ = PA(S) = PA(SA(M)) that is supposed be equal to M if the signature is valid. So Bob compares M’ and M and accepts if they are equal otherwise Bob rejects. There are several variations of signature schemes and many of them use cryptographic hash functions.
\nAuthentication using digital signature.
The similar notion of authentication is also used in image data. Several techniques related to that had evolved recently in digital water marking and steganography. Also, there had been a significant development in the field of authentication using biometric data.
\nWith advent of quantum computers, there had been significant development in the area of postquantum cryptography. This is because several computationally difficult problems for classical computing model are susceptible to attacks in quantum computing model. Postquantum cryptographic algorithms had to handle these challenges.
\nIn the area of network security, we had seen different new types of attacks with the advent of mobile computing technology where there are no fixed interconnections among mobile nodes. One frequent type of attack in particular is DDOS or distributed denial of service attack. This attack causes jamming of the network by flooding redundant packets across the network. There are several remedies that had been devised to counter these attacks. Typical information theoretic measures like
Recently, we had seen the advent of IOT or Internet of Things. In a typical house, the household devices, such as television, fridge, microwave, washing machines, smoke detectors, etc. need to communicate with each other to relieve the end user from manual interventions in many real-time processes. Networking protocol TCP/IP was modified with RTP running over UDP for real-time applications. Over and above other issues of concern in this domination is limited computing, storage and energy, i.e., battery power. These devices usually use lightweight encryption/decryption algorithms since they are resource constrained. The major goal here is not to compromise the security and authenticity of the communicated data too much.
\nIn the field of computers with the advent of Internet, the topic secure communication gained a significant importance. The theory of cryptography and coding theory evolved to handle many such problems. The emphases of these topics are both on secure communication that uses encryption and decryption schemes as well as on user authentication for the purpose of nonrepudiation. Subsequently, the topics of distributed and cloud computing emerged. Existing results related to cryptography and network security had to be tuned to adapt with these new technologies. More recently with the advancement of mobile technologies and Internet of Things (IOT), these algorithms had to take into consideration of limited resources like battery power, storage, and processor capabilities. This had led to the development of lightweight cryptography for resource-constrained devices. The topic of network security also had to face many challenges owing to variable interconnection topology instead of a fixed interconnection topology. For this reason the system becomes susceptible to various attacks from eavesdroppers. The book addresses these issues that arise in present day computing environments to overcome these security threats and also presents several possible directions for future research.
\nOver the past few years Alzheimer’s disease (AD) has been studied as a designation of neurodegenerative dysfunction, leading to the most causal dementia in the elderly population [1]. According to the International Alzheimer’s Association (2015), it is estimated that there are approximately 46.8 million people with dementia in the world, and it is believed that this number will double every 20 years, reaching 74.7 million in 2030 and to 131.5 million in 2050. Therefore, it is calculated that every 3.2 seconds, a new case of dementia is detected in the world and a prediction for 2050 is a new case every second [2].
Alzheimer’s disease (AD) is characterized by several factors, such as the loss of cholinergic neurons, the formation of intracellular fibrillar tangles of the hyperphosphorylated tau proteins, and due to the abnormal processing of amyloid precursor proteins that causes extracellular deposition of βA proteins [3, 4]. Therefore, it is known as a progressive neurodegenerative disorder that is related to the individual’s age and causes gradual physical and mental decline resulting in death [5, 6].
Memory impairment is not always the main symptom presented in patients with Alzheimer’s disease [7]. Some patients may experience significant disturbances in the visuospatial or language functions [8].
This hypothesis suggests that the characteristic neurodegeneration of AD occurs due to the accumulation of beta-amyloid (βA) protein in several brain areas, triggering the formation of senile plaques and a series of neuron injuries related processes, and formation of neurofibrillary clusters of the tau protein, which lead to neuronal dysfunction and cell death (Figure 1) [10, 11, 12].
β-amyloid (βA) formation [
The deposition of senile plaques is a result of an abnormal processing of amyloid β protein, induced by errors in the proteolytic cleavage of amyloid precursor protein by β and γ secretases. This process results in the production of different fragments, which are: the β amyloid protein 1–42, highly neurotoxic and prone to aggregation, found in the brains of patients with AD; β amyloid 1–40, a soluble and less neurotoxic protein that contributes to local plasticity and is found in healthy brains; and the β amyloid protein 1–43, presenting high amyloidogenic and neurotoxic potential, capable of depositing before the other fragments. In AD patients, the proportion of neurotoxic forms is significantly higher than β 1–40 amyloid [10, 11, 12] Thus, the excess of βA- protein formed in the brain can trigger the formation of senile plaques, lead to inflammation, oxidative stress, hyperphosphorylation of the tau protein and, consequently, cause dementia (Figure 2) [10, 11, 12].
Simplified schematic of the amyloid cascade. Source: Personal file.
The Tau protein is strongly associated to the responsibility of stabilizing and connecting the microtubes of the axions and dendrites. Conformational modifications in these structures and the accumulation of amyloid fragments appear to be responsible for the hyperphosphorylation of the tau protein (Figure 3) [14].
Characteristics of tau protein [
The hyperphosphorylation of tau in AD begins primarily in the intracellular process with the sequestration of regular tau and other proteins associated to the microtubes, causing a structural failure and thus compromising the neuronal and synaptic function [15].
The hyperphosphorylation hypothesis is due to the fact that, after the phosphorylation, an insoluble filamentous product is generated, which possibly causes the deregulation of the cytoplasmic cascade of phosphorylation and dephosphorylations. There is also a relation that the aggregations of β-amyloid may be the activating event of the protein hyperphosphorylation (Figure 4).
Representation of the structural failure of neuronal microtubules and formation of tau protein tangles. Source: Personal file.
The metal hypothesis is based on the precipitation of β-amyloid by zinc and copper radicalization, ionic zinc and copper are capable of accelerating the aggregation of Aβ, the main component of the deposition of β-amyloid [16, 17]. This hypothesis is related to the disturbance of endogenous metals in the brain, the ionic zinc and copper probably act on the cortical glutamatergic synapse, modulating the response of the inotropic receptor activated by the glutamic acid (NMDA), which can explain the vulnerability of β-amyloid to the abnormal interaction with the metallic ions on the synaptic region, leading to the aggregation and causing toxicity [16]. The metals in the synapses can also lead to the formation of Aβ oligomers that have the role of modulating the long-term potentiation, which controls synaptic levels of the NMDA receptor, and this excessive accumulation of Aβ oligomers on the synaptic cleft affect the synaptic neurotransmission (Figure 5) [17].
Simplified scheme of the metal hypothesis. Source: Personal file.
The βA is one of the main mechanisms associated to Alzheimer’s disease, and it has two main alloforms, Aβ 1–40 and Aβ 1–42, the last with more toxic oligomers [18, 19]. Studies show that the soluble oligomers, unlike the plaques, are the main cause of the synaptic disfunction and neurodegeneration. Oligomeric soluble Aβ interacts with several proteins, such as NMDA glutamatergic receptors and some proteins responsible for the maintenance of glutamate homeostasis, such as absorption and liberation [18].
It was discovered that βA oligomers were seen as intermediates in the path of disease-causing fibrils instead of impelling fully developed conditions. After that, oligomers were reported as a possible cause of Alzheimer’s disease and neuronal death [20].
In the 2000s it was possible to understand that the βA fibrils are weakly toxic, but induce the neuroinflammation and, when agglomerating, they become dense and tend to detach and turn into oligomers. It is believed that currently βA oligomers exert their harmful effects connecting directly to the neuron membranes or to other specific receptors such as the insulin and glutamate (NMDA) ones, which are necessary for the neuronal signaling (Figure 6) [20].
Simplified scheme of the oligomeric hypothesis. Source: Personal file.
The glutamatergic hypothesis refers to the biggest excitatory system of the central nervous system, the glutamatergic system. In AD, as well as in other acute and chronic neurodegenerative diseases, the loss of neurons may be due to an excessive synaptic excitation mediated by the glutamate amino acid, which explains the other denomination of the hypothesis as excito-toxic [11].
The glutamatergic system includes ionotropic and metabotropic receptors, both activated by glutamate, but in this hypothesis the ionotropic receptors stand out, such as NMDA, α-amino-3-hidroxi-5-metil-4-isoxazolepropionic acid (AMPA) and kainate, which contain ionic channels related to the neuronal polarization and depolarization processes [11, 21].
The NMDA receptors are responsible for the control of ion conductance, and when activated they determine mainly the entrance of Ca+2, which increases the intensity and duration of the depolarization of the post-synaptic neuron, characterizing the long-term potentiation (LTP), which strengthens and shapes synapses, influencing phenomena such as learning and memory [11].
The activation of these receptors is essential, but in excess it can create pathogenic mechanisms related to neurodegenerative processes due to the calcium homeostasis, for when it is in high amounts in the intercellular medium, it can operate in the process of neuron degeneration and death (Figure 7) [21].
Simplified scheme of the hypothesis of glutamatergic dysfunction. Source: Personal file.
The importance of acetylcholine (ACh) in the learning process and memory is known since the 70’s, when studies showed a reduction of choline acetyltransferase (enzyme that synthesizes ACh) in the cortex and hippocampus, and less cholinergic neurons on Meynert’s basal nucleus in subjects with AD [11, 22].
It was demonstrated that substances that inhibit acetylcholinesterase (enzyme that degrades ACh) cause positive effects on the learning and spatial learning performance, due to an indirect activation of the cholinergic system [22].
In addition to that, it is been reported that the blocking of muscarinic and nicotinic receptors leads to cognitive deterioration, indicating the importance of two kinds of receptors in the mechanism of memory and learning (Figure 8) [23].
Simplified scheme of the cholinergic hypothesis. Source: Personal file.
Metabolically, the brain is one of the most active organs of the human body because it processes big amounts of carbohydrates to generate energy as ATP. The brain does not count with the possibility of turning different substrates into energy, therefore, there is a higher use of glucose, and in the event that this supply or the ability of metabolization are compromised, this organ tends to become unprotected, and synapses failures are likely to happen, resulting in cognitive alterations [24].
Insulin has an important role in memory processing, it is capable of crossing the hematoencephalic barrier and is also produced in the brain tissue. Patients with AD show reduced insulin concentration and a smaller number of its receptors. When this is corrected with pharmacological intervention, there is an improvement in the processes related to cognition [25].
Also, studies show that toxic effects of βA might cause resistance to insulin, and this process may lead to an accumulation of βA, which constitutes in a positive feedback associated to the progressive neurodegeneration process characteristic of AD (Figure 9) [25, 26].
Simplified scheme of the type 3 diabetes hypothesis. Source: Personal file.
Because there are only two classes of compounds commercially available for the AD treatment, and due to the failure of other approaches, several studies have been carried out in search of new therapies that are equally effective, safe, or better for treating the disease [10]. In this chapter, two forms of therapies that have been widely studied are discussed, namely: transcranial photobiomodulation (with LED) and treatment with antioxidants (Resveratrol).
The evaluation of clinical trials carried out on models of Alzheimer’s and/or dementia that were treated by Photobiomodulation using light emitting diodes (LEDs) and Resveratrol was performed.
It was carried out in accordance with the PRISMA recommendation, which consists of a checklist with 27 items and a flowchart in four stages that assist in the eligibility of the selected questionnaires and work development.
For the Transcranial Photobiomodulation approach, academic articles published between 2015 and 2020 will be selected in the following databases: Science Direct, PubMed PMC, Scopus, PubMed NCBI, SciELO, LILACS, MEDLINE e PEDro. The descriptors will be in the English language only: Alzheimer’s disease, light-emitting diode.
For treatments with Resveratrol, articles published between 2015 and 2020 will be selected and found in the following databases: Science Direct, PubMed PMC, Scopus, PubMed NCBI, SciELO, LILACS e MEDLINE. The descriptors will be in English: Resveratrol, Alzheimer’s, neuroprotection.
Eight and six articles were selected to Transcranial Photobiomodulation and Resveratrol, respectively, to elaborate the discussion of this work.
In a report of a series of cases on subjects with AD or mild to moderately severe dementia, Saltmarche et al. [27] investigated the effects of photobiomodulation by 810 nm LED. The sample was composed of 5 patients with moderate to severe AD. The therapeutic adopted was infrared photo-biomodulation by pulsed LED (810 nm, 10 Hz), the device placed transcranial and intranasally for 12 weeks. Were used Mini Mental State Examination (MMSE), Alzheimer’s Disease Assessment Scale (ADAS- cog) and statistical analysis, being investigated the effect of photobiomodulation on clinical dementia. The results suggested that significant improvement in dementia while presenting functional increase, improvement of sleep, and less outbreaks of anxiety as well as rage, and that this device can be used safely and that there were no adverse effects.
Chao [28] used 8 participants (mean age: 79.8 ± 5.8 years old) diagnosed with dementia. The patients were treated with intranasally photobiomodulation with the Vielight Neuro Gamma device three times a week for 12 weeks and analyzed by Alzheimer Disease Assessment Scale-cognitive subscale (ADAS-cog); Neuropsychiatric Inventory (NPI); Magnetic resonance. The results were based on cognitive and behavioral function, cerebral perfusion, and functional connectivity at rest. It was found that the therapy provided improvements in ADAS-cog and PNI, increased cerebral perfusion and the enhancement of the connectivity between the posterior cingulate cortex and the lateral parietal nodes in the network in a standard way. Furthermore, the therapy was well tolerated and not associated with any adverse effects, indicating potential use as a viable home treatment for patients with dementia and AD.
Purushothuman et al. [29] used 2 models of mice with AD, a tau model K369I (K3), containing 15 animals and the other βA model APPs/PSEN1dE9 (APP-PS1) containing 18 animals. The therapeutic adopted was light from the LED device (670 nm), cycles of 90s (4 J/cm2), 5 days a week, for 4 weeks, exposed 1 to 2 cm above the head. In relation the methods of analysis, they used histology by the Bielschowsky silver staining method, morphological analysis, histochemical analysis, and statistical analysis. Evaluating the effects on the cerebellar region, was observed that the positive effects of LED extend to the other brain regions; provoking a reduction of the neurodegenerative effects caused by AD in the cerebellum, such as the deposition of βA, neurofibrillary tangle formation and oxidative stress damage. So, in the findings of Purushothuman, LED was shown as an effective and safe alternative for treatment of neurodegenerative effects, being able to minimize and delay the pathological changes caused by dementia in different regions of the brain such as the hippocampus, neocortex and cerebellum.
Han et al. [30] used animal model APP/PSEN1, 30 female mice divided into 3 groups with 10 animals each: treatment group, positive control group, and negative control group. The therapeutic adopted was LED emitting infrared light for 6 minutes for a period of 40 days, and the animals were analyzed by the method of Morris Aquatic Labyrinth and the results by statistical analysis. The measured parameters were spatial memory and cognitive performance after treatment with LED. The results suggested that infrared therapy emitted by LED can improve the performance in spatial learning and memory capacity.
Han et al. [31] used animal model C57BL/6 J, being females divided into 3 groups: rats without irradiation (n = 10), rats with irradiation (n = 10), and normal rats without irradiation (n = 12). The therapeutic adopted was LED with wavelengths between 1040 nm and 1090 nm, power of 15 mW/cm2; 6 minutes a day, for 40 days, suspended for 28 days, and then starting the treatment again for another 15 days. The measured parameters were spatial memory and the presence of senile plaques after the LED treatment period. They found that LED is able of improving performance in spatial learning and moderately reduces senile plaques.
Eltchechem et al. [32] used 60 rats, 30 treated (GT group) and 30 in a control group (GC group). The treatment was with LED (627 nm 7 W/cm2, 70 mV) in the frontal region, one time every day for 100 s for 21 days. The methods of analysis were Morris Aquatic Labyrinth, Open field, histological analysis, immuno-histochemical analysis, and statistical analysis. The measured parameters were the βA deposits in the GT in relation to the GC with 7, 14 and 21 days after LED irradiation. The results found were better movement, exploration, and spatial memory of the GT in relation to the CG.
Yue et al. [33] used APP/PS1 AD model mice treated, APP/PS1 control mice and healthy C57BL/6 mice as a negative control. The treatment was with photobiomodulation by LED 630 nm with application of 40 minutes and light intensity of 0.55 mW/cm2 in the skull and abdomen 5 days a week for 2 months. The methods of analysis were Morris Aquatic Labyrinth, fluorescent microscopy; magnetic resonance; biochemical analysis and statistical analysis. It was observed destruction of βA plaques group and activation of the formaldehyde dehydrogenase enzyme, that degrades formaldehyde, which acts by accelerating the deposition of βA in the extracellular space and, consequently, attenuation of βA aggregation facilitated by formaldehyde. In addition, the light reduced βA deposition in the extracellular space, positively influenced the flow of interstitial fluids and recovered cognitive functions in AD mice.
Cho et al. [34] evaluated the effect of photobiomodulation using 610 nm LED on amyloid plaques, gliosis, and neuronal loss to prevent and/or recover cognitive functions and the ideal time to start therapy. 5XFAD AD model rats were used, divided into a group that started therapy at 2 months old, and another at 6 months old. The treatment consisted of the simultaneous application of light in two places (midpoint of the parietal bone and midline of the seventh cervical vertebra) for 20 minutes, 3 times a week, for 14 weeks. From behavioral tests, immunohistochemical analysis and Western blot, it was found in the initial stages the reduction of the accumulation of amyloid plaques, neuronal loss and microgliosis, and the relief of cognitive dysfunction.
Yin et al. [35] investigated if resveratrol could mitigate the early loss induced by βA in the neuron excitability in the hippocampus and the mechanism involved on it. The excitability and the potassium currents dependent on the pyramidal neuron CA1 voltage of rats were analyzed using the whole-cell patch-clamp technique. The authors discovered that resveratrol reverted the increase of βA peptide and the increase induced in the frequency of the repetitive shots, mitigated the decrease induced by βA in the transitory potassium channels, and rectified the delay on neuron potassium channels. Besides, it was shown that resveratrol decreased the levels of kinase A (PKA) and inhibited the activation of the signaling path PI3K/Akt.
Sarroca et al. [36] assessed the beginning and progression of the pathology of Alzheimer’s disease through a diet rich in fat (HFD) and the influence of resveratrol in this situation. Many evidences suggest that HFD increases the risk of Alzheimer’s disease (AD), but the molecular mechanisms through which the HFD causes its negative effects on the brain and the pathophysiology of AD are still widely unknown. The authors used wild mice (WT) and AD 5XFAD transgenic (5XFAD mice represent an aggressive model of AD due to the exposure to intraneuronal β-amyloid-42 in 1,5 months, extracellular amyloid plaques in 2 months, gliosis in 2 months, memory deficits in 4 months and neuronal loss in 9 months) treated with a control diet of HFD (60% kcal of fat) or HFD supplemented with 0,1% of resveratrol for 16 weeks. From the analysis of behavioral tests, glucose intolerance tests, preparation of tissue samples, coloring with Thioflavin-S, Western Blotting, and proteasome activity test, it was possible to observe that the results showed the resveratrol reduced the amyloid load aggravated by HFD in 5XFAD model (model of Alzheimer’s disease with a pathology of low tau protein), the analysis by Western Blotting showed thar the cortex tissue did not show modification in the levels of tau protein. However, HFD was responsible for inducing a significant increase in the levels of pTau in both WT and 5XFAD mice, and resveratrol indicated the ability to normalize the levels of pTau in both groups fed with HFD. Resveratrol also inhibited the amyloidogenic processing enhanced by HFD.
Ma et al. [37] reported that AD and diabetes mellitus (DM) usually coexist in patients because one increases the incidence of the other. In this context, the authors studied the neuroprotection induced by resveratrol in mice with DM and AD caused by the injection of streptozocin (intraperitoneal) and β-amyloid 1–40 (hippocampus). Through biochemical and immunological analysis it was demonstrated that resveratrol increased SIRT1 expression, inhibited memory damage, increased the levels of acetylcholinesterase (responsible for the hydrolysis of acetylcholine in cholinergic synapses), malondialdehyde (marker of oxidative stress), interleukin-1β and interleukin 6 (interleukin-1β acts in the hypothalamus stimulating the release of corticotrophin by the posterior pituitary gland and the corticotrophin acts on the anterior pituitary gland, releasing adrenocorticotrophic hormone, and interleukin 6 is responsible for the influence on the immunological responses, mediating the acute stage of the inflammation), and showed decreased levels of choline acetyltransferase (mediator of the synthesis of acetylcholine), superoxide dismutase (responsible for catalyzing the dismutation of the superoxide in oxygen and hydrogen peroxide, an important antioxidant defense), and glutathione (causes several antioxidants, neutralizes free radicals).
Corpas et al. [38] evaluated the neuroprotection effects of resveratrol in two groups of mice: non-transgenic control (NoTg) and AD transgenic model (3xTg-AD). Both groups were fed with a supplemented diet of 100 mg/kg from 2 months of age for 10 months. Using Western Blotting, behavior and cognitive tests and proteasome activity test, it was possible to analyze how resveratrol induced complete protection against memory loss and brain pathology in 3xTg-AD mice and induced a cognitive increase in healthy NoTg mice. It also reduced anxiety in both strains, reducing the presence of hippocampal βA and tau protein in 3xTg-AD. As for the proteostases analysis, an increase of the levels of the enzyme neprisilin was observed, being responsible for the degradation of β-amyloid, reduction of amyloidogenic secretase BACE1, increase of the levels of proteasome protein in both mice groups, vital role in the increasing of the adenosine kinase activated by monophosphate (AMPK) and the positive regulation of the SITR1 path.
Chen et al. [39] evaluated the levels of resveratrol in Tg6799 mice (transgenic model with five family mutations on Alzheimer’s disease). The mice were divided in a group treated with resveratrol (solution 0.5%, 60 mg/kg) and a control group (treated with saline solution). The treatment was administered orally, daily, for 60 days. To interpret the results, the tests performed were the open field test, Y maze test, Morris aquatic labyrinth test, coloring with Thioflavin-S, ELISA Aβ40 and Aβ42 and finally Western Blotting, demonstrating that resveratrol reduced the disposition of the amyloid plaques, β-amyloid levels of −42 and β-secretase levels. Resveratrol also reduced the expression of the amyloid precursor protein and its cleavage products. Besides, there was a behavioral improvement related to the spatial working memory, according to the Y maze test, and improvement on the spatial memory deficits, evaluated by the Morris aquatic labyrinth test. However, resveratrol did not influence the motor function.
Wang et al. [40] used AD model rats (by hippocampal injection of β-amyloid 1–42) to investigate the possible effects of resveratrol on the behavior of spatial learning, memory and synaptic plasticity, as well as changes on the expression and phosphorylation of SIRT1 of the protein connecting to the response element of cyclic AMP (CREB). In addition to the already accepted analysis, protein extraction and Western Blotting were also done, and it was shown that resveratrol reverted the spatial learning memory damage evaluated by the Morris aquatic labyrinth, and to investigate the underlying mechanisms of the neuroprotector effects of resveratrol on the memory and learning, the long-term potentiation (LTP) was registered in the CA1 area of the hippocampus. So, it was demonstrated that the Aβ1–42 hippocampal injection did not affect significatively the basal excitatory post-synaptic potential (fEPSP), while Aβ1–42 suppressed the induction of hippocampal LTP. In addition to that, resveratrol avoided reductions on the expression of SIRT1 and phosphorylation of the cyclic AMP response element connecting protein (CREB).
LED is a radiation of varying wavelength, not coherent and which is standing out in the field of medical treatment and phototherapy for being an alternative to the high cost of laser therapy [41]. The use of light with Low-intensity Laser Therapy or by Light-emitting Diode is called photobiomodulation [42] and among its functions, it is the stimulation of neural activity, that occurs through interaction with cytochrome c oxidase (unit IV of the mitochondrial electrons transport chain), which through a series of reactions, stimulates the ATP synthase enzyme to produce more ATP, improving brain function [27]. LED, however, emerged as an innovation in the field because it does not give off heat, is portable, is easy to apply, and is more durable when compared to other methods such as laser therapy (Figure 10) [27].
Simplified scheme of the action mechanism of photobiomodulation. Source: Personal file.
Recent advances in optogenetics and the development of microscale LED platforms have elevated the viability of phototherapy for use on target brain cells [43]. The method in the treatment of neurodegenerative diseases is under development, and studies show that this therapy can act on amyloid aggregates [44, 45].
Although biological effects of the light emitted by the LED have been reported for a wide spectrum of wavelengths, the research related to the effects on the Alzheimer disease has focused on the wavelengths in the region of the nearby infrared. This approach involves the tissue irradiation with a low intensity light and promotes protective effects on the central nervous system [46].
In this approach, the primary photoreceptors are the mitochondria, and there is evidence that the action is responsible for preserving and restoring the function of the neurons by their action on the mitochondrial cytochrome
Thus, both in animal models and in human patient trials, the treatment promotes satisfactory results. As for the studies described in the results and referring to those that used animal models, the photobiomodulation, with the different protocols tested, brought together some results. Results described in
Regarding the application places and treatment time in animal models, most of the studies focused on the transcranial application, except for the research by Yue et al. [33] who performed transcranial and abdominal application.
About treatment time, in general, irradiation protocols between 21 and 40 days were used, except in the study by Cho et al. [34] in which the treatment (both early and late) was carried out for 14 weeks, and represented a longer irradiation protocol, which differs from those established by other authors.
In relation to human patients, the effects were mostly focused and described on mental and cognitive performance states. It was observed that the therapy provided a significant improvement in dementia, and presented cognitive functional increase, sleep improvement and fewer anxiety and anger outbreaks [27, 28]. It has also provided an increase in cerebral perfusion between the posterior cingulate cortex and the lateral parietal nodules in the network in a standard way [28].
The locations of application and time of treatment in clinical research were similar. Both studies that involved human models reported the use of transcranial and intranasal photobiomodulation. The treatment time did not differ either. A twelve-week protocol was adopted, which the only difference was in the post-treatment follow-up, with a period of four weeks without treatment being observed in the research by Saltmarche [27].
As for safety in the human model, the treatment was described as well tolerated and did not induce any adverse effects. These results support the therapeutic potential for viable treatment (including home treatment) of patients with dementias. However, larger, and more controlled studies are still necessary. It is indispensable, for consolidating the therapy, to clarify the ideal irradiation parameters such as application time, active treatment, and follow-up, as well as the general efficacy and safety profile [27, 28].
Regarding considerations for future research, they should be carried out by following longer and not discontinued treatment protocols. As according to Saltmarche [27] a period of four weeks without treatment, after initiation, resulted in deterioration of the positive effects achieved with twelve weeks of active treatment, and it caused difficulties for patients and caregivers. Furthermore, the author describes that the movement of patients to the clinic for LED applications caused stress. Therefore, for future work, home treatment is expected, which is possible considering the facility and viability of the application if it is properly oriented and performed.
Finally, it is interesting to use standardized cognitive assessments that consider different aspects, such as quality sleep, communication and social interaction, reduction of anxiety, depression, and disturbing behaviors to cover most of the effects induced by photobiomodulation.
The importance of oxidative stress in AD has been increasingly recognized. Several studies have shown evidence that oxidative stress may contribute to the pathogenesis of AD through the formation of oxygen free radicals. Thus, the therapeutic focus has also been directed towards the use of antioxidants in the treatment of AD [10, 48].
Although antioxidants do not provide objective improvement in cognition, they can delay the natural evolution of the disease due to their supposed neuroprotective effect [48]. Polyphenols from food consumption plants have already been confirmed as neuroprotective compounds, including by a reduction on the aggregation of β-amyloid protein, such is the case of the trans-3,5,4′-trihydroxystylbene, Resveratrol [12].
Resveratrol is widely found in grapes used to produce red wine and in cereals and has been tested in different models of the disease (
Among its different proven forms of action, the following stand out: (a) competition with coenzyme Q to reduce the oxidative complex, the site of production of reactive oxygen species (ROS); (b) neutralization of oxygen free radicals formed; and (c) inhibition of lipid peroxidation induced by Fenton reaction products, in the mitochondria (Figure 11) [49].
Effects of resveratrol already proven. Source: Personal file.
In view of its ability to modulate potassium channels, Resveratrol plays a promising activity to attenuate neural impairments induced by β-amyloid. However, as the antioxidant has shown a variety of neuroprotective actions, it is also possible that other signals are involved, such as other ion channels, e.g., calcium and sodium channels, which can be exploited in the future to elucidate the effects achieved by Resveratrol due to the relationship with certain central nervous systems disorders [35].
Regarding the in vivo studies, the effects of resveratrol were already expressed and described in different ways, and among them the ones of note are reduction of amyloid load and inhibition of the amyloidogenic processing [37, 38, 39], neuroprotection of memory loss, cognitive improvement and acetylcholinesterase inhibition [38, 39], anxiety reduction, increase on the AMPK levels [36, 39], positive regulation of the SIRT1 path [37, 38, 39, 40] and reversion of the damage on spatial memory [39, 41].
As a future perspective, based on the neuroprotectant activities observed in vitro and in vivo, it is expected that clinical trials are done with long term treatments and low formulations with improved pharmacokinetic properties (due to the low availability shown) to sustain the possibility of a therapeutic alternative for the treatment of AD, as well as the clarification of its mechanisms of action, safety and efficiency.
Thus, it is concluded that both the treatment with Transcranial Photobiomodulation using LEDs as light sources, and the treatment with Resveratrol have numerous benefits that can be useful in the treatment of AD. However, there is a need for new research that covers interventions with greater specificity and control, so that the ideal doses and treatment protocols are defined.
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She is also the Global Harmonization Initiative (GHI) Ambassador to Sri Lanka.",institutionString:"Australian College of Business & Technology",institution:null}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-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"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. Her research interests include microalgal biotechnology with an emphasis on microalgae-based products.",institutionString:"Universidade Federal de Santa Maria",institution:{name:"Universidade Federal de Santa Maria",institutionURL:null,country:{name:"Brazil"}}}]},{type:"book",id:"7953",title:"Bioluminescence",subtitle:"Analytical Applications and Basic Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7953.jpg",slug:"bioluminescence-analytical-applications-and-basic-biology",publishedDate:"September 25th 2019",editedByType:"Edited by",bookSignature:"Hirobumi Suzuki",hash:"3a8efa00b71abea11bf01973dc589979",volumeInSeries:4,fullTitle:"Bioluminescence - Analytical Applications and Basic Biology",editors:[{id:"185746",title:"Dr.",name:"Hirobumi",middleName:null,surname:"Suzuki",slug:"hirobumi-suzuki",fullName:"Hirobumi Suzuki",profilePictureURL:"https://mts.intechopen.com/storage/users/185746/images/system/185746.png",biography:"Dr. Hirobumi Suzuki received his Ph.D. in 1997 from Tokyo Metropolitan University, Japan, where he studied firefly phylogeny and the evolution of mating systems. He is especially interested in the genetic differentiation pattern and speciation process that correlate to the flashing pattern and mating behavior of some fireflies in Japan. He then worked for Olympus Corporation, a Japanese manufacturer of optics and imaging products, where he was involved in the development of luminescence technology and produced a bioluminescence microscope that is currently being used for gene expression analysis in chronobiology, neurobiology, and developmental biology. Dr. Suzuki currently serves as a visiting researcher at Kogakuin University, Japan, and also a vice president of the Japan Firefly Society.",institutionString:"Kogakuin University",institution:null}]}]},openForSubmissionBooks:{},onlineFirstChapters:{},subseriesFiltersForOFChapters:[],publishedBooks:{},subseriesFiltersForPublishedBooks:[],publicationYearFilters:[],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. 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:"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. 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