General features of chosen patients.
\r\n\tThis book discusses the anatomy and pathophysiological characteristics of the biliary tract, the latest progress in the treatment of different diseases of the biliary tract, and the management of complications. We hope that this book will provide clinicians with evidence for clinical decision-making and provide scientists with a comprehensive overview of current developments in this vital area.
",isbn:"978-1-80356-699-3",printIsbn:"978-1-80356-698-6",pdfIsbn:"978-1-80356-700-6",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"75ea7752fb410b6d399b549bb66e9b58",bookSignature:"Prof. Qiang Yan and Dr. Huaping Shen",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11852.jpg",keywords:"Physiological Anatomy, Pathophysiology, Choledochal Cyst, Bile Duct Stone, Inflammation, Obstructive Jaundice, Gallbladder Carcinoma, Cholangiocarcinoma, Diagnosis, Therapeutics, Surgical Treatment, Management of Complications",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 23rd 2022",dateEndSecondStepPublish:"April 20th 2022",dateEndThirdStepPublish:"June 19th 2022",dateEndFourthStepPublish:"September 7th 2022",dateEndFifthStepPublish:"November 6th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Medical doctor, adjunct professor, and FACS, Chairman of Department of General Surgery at Zhejiang University Huzhou Hospital and Director of Department of Hepatopancreatic and Biliary Surgery and Department of Surgery Teaching and Research.",coeditorOneBiosketch:"Associate chief of the Department of Hepatopancreatic & Biliary (HPB) Surgery, Zhejiang University Huzhou Hospital who has been engaged in hepatobiliary and pancreatic surgery for 9 years, and is an expert in diagnosis and treatments of diseases in hepatobiliary and pancreatic fields.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"247970",title:"Prof.",name:"Qiang",middleName:null,surname:"Yan",slug:"qiang-yan",fullName:"Qiang Yan",profilePictureURL:"https://mts.intechopen.com/storage/users/247970/images/system/247970.png",biography:"Qiang Yan, MD, is a master’s supervisor, adjunct professor, and Fellow of the American College of Surgeons (FACS). He is the chairman of the Department of General Surgery and the director of the Department of Hepatopancreatic and Biliary Surgery and Department of Surgery Teaching and Research, Zhejiang University Huzhou Hospital.\nDr. Yan is a member of the Committees of Biliary Surgeons, Department of Surgeons and Hepatobiliary Minimal of Non-invasive Surgery, Chinese Medical Doctor Association, and many other academic associations. He is also a special member of the editorial committees of the Chinese Journal of General Surgery, Liver Cancer, and Chinese Journal of Clinicians. He is a participant in the High-Level Talents of Zhejiang Medicine and Zhejiang Province 151 Talents. Dr. Yan completed advanced studies in hepatobiliary pancreatic surgery at Stanford University Medical Center, California, and University Hospital Regensburg, Germany. He has more than thirty high-quality papers to his credit.",institutionString:"Huzhou Central Hospital",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"3",institution:{name:"Zhejiang University",institutionURL:null,country:{name:"China"}}}],coeditorOne:{id:"344080",title:"Dr.",name:"Huaping",middleName:null,surname:"Shen",slug:"huaping-shen",fullName:"Huaping Shen",profilePictureURL:"https://mts.intechopen.com/storage/users/344080/images/system/344080.png",biography:"Huaping Shen is an associate chief of the Department of Hepatopancreatic and Biliary (HPB) Surgery, Zhejiang University Huzhou Hospital. He has been engaged in hepatobiliary and pancreatic surgery for 10 years and is an expert in diagnosis and treatment of hepatobiliary and pancreatic diseases. Dr. Shen has ten medical papers to his credit and has participated in seven research projects.",institutionString:"Zhejiang University Huzhou Hospital",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Zhejiang University",institutionURL:null,country:{name:"China"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"16",title:"Medicine",slug:"medicine"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"440212",firstName:"Elena",lastName:"Vracaric",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/440212/images/20007_n.jpg",email:"elena@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"10318",title:"Recent Advances in Pancreatitis",subtitle:null,isOpenForSubmission:!1,hash:"4660cc6cfdbc562d1f25e6e05b6b77f1",slug:"recent-advances-in-pancreatitis",bookSignature:"Qiang Yan",coverURL:"https://cdn.intechopen.com/books/images_new/10318.jpg",editedByType:"Edited by",editors:[{id:"247970",title:"Prof.",name:"Qiang",surname:"Yan",slug:"qiang-yan",fullName:"Qiang Yan"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7869",title:"Advanced Endoscopy",subtitle:null,isOpenForSubmission:!1,hash:"92f6ce51b737e9086a6059ab7470eee9",slug:"advanced-endoscopy",bookSignature:"Qiang Yan and Xu Sun",coverURL:"https://cdn.intechopen.com/books/images_new/7869.jpg",editedByType:"Edited by",editors:[{id:"247970",title:"Prof.",name:"Qiang",surname:"Yan",slug:"qiang-yan",fullName:"Qiang Yan"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. Mauricio Barría",coverURL:"https://cdn.intechopen.com/books/images_new/6550.jpg",editedByType:"Edited by",editors:[{id:"88861",title:"Dr.",name:"R. Mauricio",surname:"Barría",slug:"r.-mauricio-barria",fullName:"R. Mauricio Barría"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9500",title:"Recent Advances in Bone Tumours and Osteoarthritis",subtitle:null,isOpenForSubmission:!1,hash:"ea4ec0d6ee01b88e264178886e3210ed",slug:"recent-advances-in-bone-tumours-and-osteoarthritis",bookSignature:"Hiran Amarasekera",coverURL:"https://cdn.intechopen.com/books/images_new/9500.jpg",editedByType:"Edited by",editors:[{id:"67634",title:"Dr.",name:"Hiran",surname:"Amarasekera",slug:"hiran-amarasekera",fullName:"Hiran Amarasekera"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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"}}]},chapter:{item:{type:"chapter",id:"61643",title:"Introductory Chapter: Pyridine",doi:"10.5772/intechopen.77969",slug:"introductory-chapter-pyridine",body:'\nPyridine (C5H5N), an aromatic compound where all the pi electrons are shared by a ring, forms one continuous circle of electrons besides the alternate double bonds shared by every atom on the circle. Pyridine is a unique type with nitrogen on the ring to provide a tertiary amine by undergoing reactions such as alkylation and oxidation. Amine is responsible for the slight dipole on the ring because electrons are drawn more toward the nitrogen being electronegative (lone pair electrons on the nitrogen) than other atoms in the ring. The H nuclear magnetic radiation (H-NMR) shows three signals at the ortho, meta, and para positions on the molecule in respect of three different chemical shifts. These chemical shifts are the result of the different electron densities for each of these atoms. As a result, this is not stable as other aromatic compounds (Figure 1).
\n(a) The double bonds in pyridine are shared between all of the atoms in the circle so that they can be drawn as a circle instead of individual bonds. (b) Pyridine. (c) The hydrogen atoms on pyridine have three distinct chemical shifts. Pyridine shares the electrons in the entire circle, but the nitrogen draws more electrons to it, causing a slight dipole to form.
Pyridine, a liquid similar to water, can easily mix with water and other organic solvents. This property is useful for making various products such as medicines, vitamins, food flavorings, pesticides, paints, dyes, rubber products, adhesives, waterproofing fabrics, and nitrogen-containing plant products. This nature of pyridine further makes it to be used as a precursor for many agrochemicals and pharmaceuticals. Hence, pyridine and its derivatives have significant applications in various fields, especially in the medicinal area.
\nAll these properties of pyridine make it worthwhile to have a full overview about pyridine and its derivatives with recent researches in one place for potential researchers. This book provides a range of chapters which touches each and essential aspect of pyridine. It is the electronegative nature of pyridine in the backdrop responsible for the formation of all its derivatives. The synthesis of derivatives using pyridine has the biological activities and vast applications. Pyridine ring is also advantageous in the formation of discontinuous silver films on polymer composite by using its one of the derivative poly (4-vinyl pyridine) (P4VP).
\nNanosized silver particles are well known to be used in many bactericidal and antimicrobial applications [1, 2, 3, 4]. Antimicrobial property is most important to prevent a wound from microorganism for a long healing process. A lot of disinfectant agents have been introduced to wound dressings. Among them, using Ag NPs is the most advanced technology as its high efficiency has been proven. Preparing silver nanoparticles by toxic precursor chemicals produces hazardous by-products and contaminated Ag NPs, and hence, these must be produced with safe and clean methods.
\nPolyvinyl pyrrolidone (PVP) attracts considerable attention because of its excellent chemical and physical properties making it an excellent material as a coating or as an additive to different materials. It needs to be uniformly incorporated with Ag NPs. If PVP alone is used as host polymer agglomerated, nonuniform silver films are formed. The pyridine in P4VP because of the lone pair of the electron in nitrogen helps in the formation of nonagglomerated, uniform films on PVP/P4VP (50:50) [5] composites. The optical absorption of spectra shows the embedment of silver nanoparticles in the composite (Figure 2).
\nOptical absorption spectra of P4VP, PVP, and their composite.
Due to the new coronavirus disease (COVID-19) epidemic, which has recently spread all over the world and has been declared as a global pandemic by WHO (World Health Organization), many people have been adversely affected. The COVID-19 outbreak damages many organs, especially the lungs, and this poses an extra-large risk for major diseases such as chronic obstructive pulmonary disease (COPD).
COPD is a common public disease known worldwide, and its lethal power is increasing day by day [1]. COPD disease is closely related to lung volumes and capacities [2, 3]. Vital capacity (VC) is one of the most important lung parameters [4]. VC is the maximum volume of air taken into and out of the lungs during breathing [5]. The correct measurement of VC is of greatest importance to provide insights on the diagnostic about lung-related obstructive, restrictive, or mixed diseases. Moreover, knowledge of lung volume changes is very important to track the history of many restrictive and obstructive lung problems and their response to various treatments [6].
VC measurements are used for monitoring diseases [7]. For example, chronic reduction in VC may reduce lung compliance. These physiological changes increase the load on the emaciated respiratory muscles and eventually cause a vicious circle of respiratory dysfunction [8]. The VC value is also related to the disease in amyotrophic lateral sclerosis (ALS) and can provide information about the level of the disease [9]. Measurements of VC are used to predict disease progression and to help identify diaphragm dysfunction (DD) [10]. VC is also a very important parameter used for mechanical noninvasive ventilation [11].
A healthy adult’s VC ranges from approximately 3000 to 5000 ml liters [12]. The parameters that affect a person’s VC can be listed as age, gender, height, mass, and ethnicity, respectively [13]. Many studies in the literature have been done to measure and predict VC [14]. Lung capacity estimates are also made on radiographic images [15]. But spirometer is the most used device to measure VC [16]. The spirometer is the most commonly used device for collecting information about lung-related diseases [17].
Figure 1 shows the lung volume and capacity parameters measured with the aid of a spirometer [18].
Lung volume and capacity parameters.
Although the spirometer is currently the most commonly used measurement tool to measure lung parameters, many of them are not portable (the prices of portable ones are very high), their use requires a technician, it cannot be used in the home environment, since the printouts are on paper instead of recording in digital media, and has a high cost.
Machine learning (ML) algorithms such as artificial intelligence (AI), fuzzy logic (FL) are widely used techniques in biomedical studies. Particularly, deep learning (DL) models, due to their superior performance in prediction and classification problems, have become quite popular recently [19]. As a result of the extensive literature search, a VC prediction study with a deep network structure has not been encountered. In this chapter, unlike the literature, the VC parameter value was successfully estimated using the person’s age, height, and weight information using the deep learning technique. This value was measured on real patients using a medical spirometer.
The objective of this chapter is twofold, namely, to:
a. Develop a deep model algorithm that can predict the VC parameter without the need for the spirometer,
b. Understand and measure the effect of input variables on VC from the developed model using OLS regression methods.
The performance success of the DL architecture is closely related to the dataset chosen as its input. The success of DL architectures trained with a large number of data is higher than those with a smaller volume of data. It is known that this type of DL architecture gives positive results in models with sufficient examples but not very deep architecture.
In this book chapter, we collected a biomedical dataset, including VC, age, height, and weight parameters of normal subjects. About 491 healthy subjects (363 males and 128 females, aged between 21 and 61) were selected for this data collection. To measure the VC parameter, the breathing performance of the 50 s was recorded from each patient. Thus, a data record of 6.82 h was created in the database. The measurements were performed using a biomedical spirometer device (Fukuda Sangyo brand spiroanalyz ST-75) at our Biomedical Device Technology Laboratory (BCT Lab). Related information about the patients in the study group is summarized in Table 1.
Patient No. | Height (cm) | Weight (kg) | Gender (F/M) | BMI (kg/m2) | Age | VC (L) |
---|---|---|---|---|---|---|
161 | 86 | M | 33.18 | 34 | 6.2 | |
166 | 78 | M | 28.31 | 28 | 6.3 | |
174 | 91 | M | 30.06 | 32 | 7.7 | |
173 | 86 | F | 28.73 | 28 | 5.8 | |
166 | 74 | F | 26.85 | 23 | 6.4 | |
170 | 93 | M | 32.18 | 24 | 6.9 | |
179 | 91 | M | 28.4 | 31 | 7.8 | |
. | . | . | . | . | . | . |
. | . | . | . | . | . | . |
. | . | . | . | . | . | . |
169 | 79 | F | 27.66 | 29 | 6.8 |
General features of chosen patients.
The spirometric measurement system and the device used are shown in Figure 2.
The spirometric measurement system.
At the end of the measurements, a new biomedical dataset consisting of a total of 1.964 data including age, height, and weight, and VC parameters were created. Thus, a data frame with a total of 1.964 data (with a total of 4 columns, each column consisting of 491 values) was created. Figure 3 shows some sample breathing performance signals of the present dataset.
Sample VC signals from the subject dataset used in this study.
Neural networks that have more than one hidden layer are called deep neural networks [20]. Deep networks mean that there are multiple hidden layers within the adaptive neural network (ANN) architecture. ANN algorithms can be adapted to many areas and are widely used in many different fields [21]. ANN structurally consists of three layers (input, hidden, and output layer). Neurons between layers are linked to each other by specific pathways that have a certain weight value [22]. In this chapter, as the ANN algorithm, a multilayer perceptron feed-forward neural network (MLPFFNN) was preferred [23]. In MLPFFNN model, data flow occurs in one direction from the input layer to the output layer [24]. The article aims to create a reliable deep model for predicting VC. Weight, height, and age parameters (independent variables) were given as input parameters to the model. The VC value (dependent variable) was taken as output.
The designed MLPFFNN is multilayer and there are many neurons in each layer except the output layer. The number of neurons in the output layer is 1. The number of neurons in the hidden layers was observed gradually between 1 and 70 and by trial and error, and the most ideal multi-neuron network structure was selected. The best result was achieved in 1000 repetitions (the number of repetitions was increased by 50 steps). In the intended deep network model, the mini-batch size is 40. The effect of the mini-batch size on the model performance was examined and after various trials, it was decided that this number was the most ideal. The learning rate was chosen as 0.0012 and gradient reduction as 0.85. Adaptive Moment Estimation (Adam) algorithm is used as the optimizer. The Rectifier Linear Unit (ReLU), which is one of the most commonly used activation functions, is used as an activation function [25], and it is defined as follows:
where x is the weighted sum of the inputs and f (x) is the activation function. The function output is between 0 and the maximum value. The designed MLPFFNN structure is shown in Figure 4.where, i, j, and k are layers within the model, b1, b2; biases, w1, w2; weights, K, L, M; the number of neurons in the layers, VC; vital capacity.
MLPFFNN architecture.
In this section, the hyperparameter parameters including learning rate, verbose, batch size, the number of iterations, and epoch size are determined. Adam’s optimization algorithm was selected for backpropagation and updating of model weights. To avoid overfitting, the number of epochs was adjusted. Thanks to the dropout feature added to the model, overfitting was prevented. In the drop layer, some nodes of the network are removed to prevent the network from being dependent on a particular neuron. Thanks to “letting go,” the network can be forced to learn correctly even in the absence of certain information [26]. The learning rate was reduced gradually. The model algorithm was trained and tested using the 66–33% training and a testing data partition as 329 data, 162 data, respectively. Performance metrics of the proposed model are shown in Figure 5. Here, we can see the variation of validation loss (val_loss) compared to training loss (loss). The loss shows how close the neural network is to the optimum. One of the differences between val_loss and loss is that, when using dropout, validation loss can be lower than training loss (usually not expected in cases where dropout is not used). The values for loss are similar. The general loss decreases after almost every epoch and approaches the value 0, whereas the val_loss stagnates.
Training and verification graphs with loss of the model depending on the number of epochs.
Regression algorithms estimate the output parameter based on the input parameters. OLS is a type of least-squares method used to predict undefined states in a regression model. In the OLS method, in light of the least-squares principle, the sum of the squares of the differences between the dependent variable and the predicted in the given data set is minimized. The differences obtained are aimed to be minimal.
In the OLS model used in the study, the relevance between the dependent variable (VC) and the independent variables (age, height, and weight) was investigated using equation Eq. (2).
where A is VC; X1…X3 symbolized age, height, and weight variables, respectively; α0 is the bias and α1…α3 are the coefficients of the variables; and e is the error parameter [27]. In this study, the relationship between the real values (measured) and the predicted values found by the model was examined by some popular regression methods based on the OLS algorithm.
MLR is a statistics-based analysis technique that is widely used in output variable estimation using different variables. The purpose of MLR is to model the linear relationship between the independent variables and the dependent variable.
PR model parameters (X, Y, b, and e) can represent in matrix form, as design input matrix, output response vector, dependent parameters vector, and random error, respectively, as given in Eq. (3) [28].
It is known that the SVR algorithm is a very powerful instrument in real value estimation studies [29]. General SVR estimation functions as given in Eq. (4).
where w and b are the weight coefficient and the bias coefficient, respectively [30].
DTR is a supervised learning method used for classification and regression. The decision tree-based regression algorithm can provide close to optimum distribution decisions [31].
RFR is a group learning algorithm based on decision trees. Random forests for regression are formed by growing trees depending on a random vector [32]. The output values are numerical and it is assumed that the training set is independently drawn from the distribution of the random vector Y, X. h (x) and E represents the tree predictor and the mean-squared generalization error for any numerical predictor, respectively. The mean-squared generalization error h(x) is given in Eq. (5).
In regression tasks, the mean prediction of K regression trees, hk(x) is calculated to obtain the random forest prediction is given in Eq. (6).;
To evaluate our proposed method, accuracy is calculated using Eq. (7).
TP, TN, FP, and FN in Eq. (6) are true positives, true negatives, false positives, and false negatives, respectively [33]. A confusion matrix has been formed for calculating the performances of the model used in the study.
In this book chapter, the multiple-layer perceptron neural network (MLPFFNN) was selected for the ANN implementation. In the selected MLPFFNN design, the best result was achieved in 1000 repetitions (the number of repetitions was increased by 50 steps) with a mini-batch size of 40, a learning ratio of 0.0012, and the gradient reduction of 0.85. The simulation environment is Python 3.8.5(64 bit). Figure 6 shows the predictive VC values found by the model versus the actual VC values.
The graphical comparison of results.
Statistically, the actual value is the value that is obtained by observation or by measuring the available data. The predicted value is the value of the variable predicted based on the regression analysis.
As a result of the graphical comparison, it can be easily seen that the estimated VC values of all the participants participating in the study watch very close to the actually measured (with spirometer) VC values.
When 3-parameter OLS models are examined in terms of R-squared, it is seen that the best OLS result is obtained with Multi-Linear Regression (0.946). Three-parameter OLS models result in terms of R-squared is given in Table 2.
R-squared | MLR | PR | SVR | DTR | RFR |
---|---|---|---|---|---|
0.948 | 0.794 | 0.874 | 0.775 | 0.889 |
Three-parameter OLS models result in terms of R-squared.
The proximity between the predicted results of the model and the actual values measured with the Spirometer is shown in Figure 7. The results are quite close to each other. This figure shows the scattering of the predicted and actual values relative to each other. Accordingly, the blue dots on the figure show the data series linear regression situation.
Evaluation of model performance.
The confusion matrix obtained from the results is given in Table 3. Overall accuracy was found at 93.3%. As a result, an efficient deep model is provided for estimating the VC parameter.
A | P | |
---|---|---|
Predicted: Zero | Predicted: One | |
101 | 6 | |
2 | 19 |
The confusion matrix of the model.
The chapter aims to build an accurate and reliable deep neural network model to predict VC using weight, height, and age parameters (independent variables) as input parameters to the model. The VC value (dependent variable) was taken as the output of the proposed deep neural network.
In this book chapter, a multiple-layer perceptron neural network (MLPFFNN) was selected as a preferred ANN algorithm. Three-parameter OLS models are examined in terms of R-squared, it is found that the best OLS result is obtained with Multi-Linear Regression (R-squared =0.948). The results showed that the height and age information has a significant effect on the VC compared to the weight information. These variables played a significant role in the prediction of VC. Although studies of estimating lung volume have been encountered in the literature search, a deep neural network model application that estimates the VC value using some specified independent parameters has not been found.
Therefore, it is believed that the results presented in this chapter will fill an important gap in the literature in light of both the database specificity and the presented ML-AI method.
COPD disease has become a challenging problem with the effect of COVID-19. The fact that the Respiratory Test Functions, which is the most effective method for diagnosing COPD, cannot be performed at home has forced researchers to find different, new, cheap, technological, and practical methods addressing this challenge.
In this book chapter, it is suggested that the deep neural network-based VC prediction algorithm can be used in clinical tests to reduce the workload of doctors and nurses. As shown in this chapter, a fast and reliable diagnostic tool using ML-AI algorithm was obtained. The proposed ML-AI model provided 93.3% accuracy. The simulation results showed that the VC parameter can be determined with a high success rate using the proposed deep learning model with real data. With the proposed model, the rate of misdiagnosis can be reduced and spirometric measurements can be made quickly without waiting for hours to have Pulmonary Function Test (PFT) performed in hospitals.
The simulation results indicate that a smart tool using ML-AI technology can be a reliable alternative to medical spirometers. Currently, the developed model is planned to be tested clinically and the results will be reported in future studies. The goal is to provide this smart tool to be used in hospitals after approval from field experts and governmental health agencies.
This study is supported by the Coordinatorship of Ondokuz Mayıs University’s Scientific Research Projects (Project Number: PYO.YMY.1901.20.001), Samsun, Turkey. We would like to extend our heartfelt thanks to Dr. Kazım Sekeroğlu of Southeastern Louisiana University, Hammond, LA, USA.
The authors declare no conflict of interest.
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Everyone must undergo this phase of life at his or her own time and pace. In the broader sense, ageing reflects all the changes taking place over the course of life. These changes start from birth—one grows, develops and attains maturity. To the young, ageing is exciting. Middle age is the time when people notice the age-related changes like greying of hair, wrinkled skin and a fair amount of physical decline. Even the healthiest, aesthetically fit cannot escape these changes. Slow and steady physical impairment and functional disability are noticed resulting in increased dependency in the period of old age. According to World Health Organization, ageing is a course of biological reality which starts at conception and ends with death. It has its own dynamics, much beyond human control. However, this process of ageing is also subject to the constructions by which each society makes sense of old age. In most of the developed countries, the age of 60 is considered equivalent to retirement age and it is said to be the beginning of old age. In this chapter, you understand the details of ageing processes and associated physiological changes.",book:{id:"6381",slug:"gerontology",title:"Gerontology",fullTitle:"Gerontology"},signatures:"Shilpa Amarya, Kalyani Singh and Manisha Sabharwal",authors:[{id:"226573",title:"Ph.D.",name:"Shilpa",middleName:null,surname:"Amarya",slug:"shilpa-amarya",fullName:"Shilpa Amarya"},{id:"226593",title:"Dr.",name:"Kalyani",middleName:null,surname:"Singh",slug:"kalyani-singh",fullName:"Kalyani Singh"},{id:"243264",title:"Dr.",name:"Manisha",middleName:null,surname:"Sabharwal",slug:"manisha-sabharwal",fullName:"Manisha Sabharwal"}]},{id:"55388",doi:"10.5772/intechopen.68944",title:"Beauty, Body Image, and the Media",slug:"beauty-body-image-and-the-media",totalDownloads:7669,totalCrossrefCites:5,totalDimensionsCites:12,abstract:"This chapter analyses the role of the mass media in people’s perceptions of beauty. We summarize the research literature on the mass media, both traditional media and online social media, and how they appear to interact with psychological factors to impact appearance concerns and body image disturbances. There is a strong support for the idea that traditional forms of media (e.g. magazines and music videos) affect perceptions of beauty and appearance concerns by leading women to internalize a very slender body type as ideal or beautiful. Rather than simply being passive recipients of unrealistic beauty ideals communicated to them via the media, a great number of individuals actually seek out idealized images in the media. Finally, we review what is known about the role of social media in impacting society’s perception of beauty and notions of idealized physical forms. Social media are more interactive than traditional media and the effects of self‐presentation strategies on perceptions of beauty have just begun to be studied. This is an emerging area of research that is of high relevance to researchers and clinicians interested in body image and appearance concerns.",book:{id:"5925",slug:"perception-of-beauty",title:"Perception of Beauty",fullTitle:"Perception of Beauty"},signatures:"Jennifer S. Mills, Amy Shannon and Jacqueline Hogue",authors:[{id:"202110",title:"Dr.",name:"Jennifer S.",middleName:null,surname:"Mills",slug:"jennifer-s.-mills",fullName:"Jennifer S. Mills"}]},{id:"59227",doi:"10.5772/intechopen.73385",title:"Differentiating Normal Cognitive Aging from Cognitive Impairment No Dementia: A Focus on Constructive and Visuospatial Abilities",slug:"differentiating-normal-cognitive-aging-from-cognitive-impairment-no-dementia-a-focus-on-constructive",totalDownloads:1328,totalCrossrefCites:3,totalDimensionsCites:6,abstract:"Constructive and visuospatial abilities in normal and in pathological aging (cognitive impairment, no dementia, CIND) are investigated. The sample includes 188 participants over 60 years of age, divided in 2 groups: healthy subjects (MMSE ≥28), without cognitive complaints, and individuals with CIND (MMSE between 24 and 27 and subjective cognitive complains). Drawing of cube and drawing of house, Benton Visual Retention Test (BVRT), and Block design are used to test the hypothesis that short visuoconstructive and visuospatial tests can distinguish normal from pathological cognitive aging in its very early stages. Results proved the discriminative sensitivity of BVRT general assessment criteria and of omissions and distortions in CIND. The diagnostic sensitivity of a modification of Moore and Wike [1984] scoring system for house and cube drawing tasks was confirmed as well. Drawing of cube and house could be used for quick screening of CIND in subjects over 60. Principal component analysis with oblimin rotation was performed to explore the different dimensions in the visuospatial and visuoconstructive abilities in old age. A four-factor structure was established, all four factors explaining 71% of the variance.",book:{id:"6381",slug:"gerontology",title:"Gerontology",fullTitle:"Gerontology"},signatures:"Radka Ivanova Massaldjieva",authors:[{id:"75907",title:"Associate Prof.",name:"Radka Ivanova",middleName:null,surname:"Massaldjieva",slug:"radka-ivanova-massaldjieva",fullName:"Radka Ivanova Massaldjieva"}]},{id:"59658",doi:"10.5772/intechopen.74748",title:"Ageing Better in the Netherlands",slug:"ageing-better-in-the-netherlands",totalDownloads:1174,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"The Dutch National Care for the Elderly Programme was an initiative organized by the Netherlands Organisation for Health Research and Development (ZonMw) between 2008 and 2016. The aim of the programme was to collect knowledge about frail elderly, to assess their needs and to provide person-centred and integrated care better suited to their needs. The budget of EUR 88 million was provided by the Dutch Ministry of Health, Welfare and Sports. Putting the needs of elderly people at the heart of the programme and ensuring their active participation were key to the programme’s success. The programme outcomes included the establishment of eight geriatric networks around the medical universities with 650 organisations and the completion of 218 projects. These projects, involving 43,000 elderly people and 8500 central caregivers, resulted in the completion of 45 PhD theses and the publication of more than 400 articles and the development of 300 practice toolkits, one database and a website, www.beteroud.nl. The Dutch National Care for the Elderly Programme has since developed into a movement and continues under the consortium Ageing Better, made up of eight organisations. Through the use of ambassadors, Ageing Better promotes the message that ageing is not a disease but a new phase of life.",book:{id:"6381",slug:"gerontology",title:"Gerontology",fullTitle:"Gerontology"},signatures:"Betty Meyboom-de Jong, Klaske Wynia and Anjo Geluk-Bleumink",authors:[{id:"224997",title:"Emeritus Prof.",name:"Betty",middleName:null,surname:"Meyboom-De Jong",slug:"betty-meyboom-de-jong",fullName:"Betty Meyboom-De Jong"},{id:"232900",title:"Dr.",name:"Klaske",middleName:null,surname:"Wynia",slug:"klaske-wynia",fullName:"Klaske Wynia"},{id:"232901",title:"Mrs.",name:"Anjo",middleName:null,surname:"Geluk-Bleumink",slug:"anjo-geluk-bleumink",fullName:"Anjo Geluk-Bleumink"}]},{id:"57952",doi:"10.5772/intechopen.71904",title:"Neurocognitive Implications of Tangential Speech in Patients with Focal Brain Damage",slug:"neurocognitive-implications-of-tangential-speech-in-patients-with-focal-brain-damage",totalDownloads:1569,totalCrossrefCites:0,totalDimensionsCites:3,abstract:"There are no studies on the neurocognitive implications of tangential speech (TS). This research aims to take a step forward in the study of narrative processing, by evaluating TS in a sample that helps to detect this deficit when it is neurogenic and recently manifested. The relationship between TS, secondary to focal brain injury, and neuropsychological and neuroanatomical variables was explored. A comprehensive neuropsychological battery was administered to 175 volunteers: 95 alert inpatients, without aphasia, without psychiatric history and without TS history, and 80 healthy participants, without TS. Results: TS (prevalence 16%) was independent of type or site of injury. An adverse effect of TS on global neuropsychological performance was observed. This effect was significantly related to attentional errors along with prolonged processing times but not to correct responses. Reliability and validity indices for the present TS screening scale were provided. Conclusion: Present results support the hypothesis that this neurogenic inability to spontaneously find, organize and communicate verbal information, beyond single words, depends on extended brain networks involving processes such as sustained attention, complex-syntax comprehension, the (implicit) interpretation and spontaneous recall of a narrative, and emotional and behavioral alterations. Early TS detection is advisable for prevention and treatment at any age.",book:{id:"6381",slug:"gerontology",title:"Gerontology",fullTitle:"Gerontology"},signatures:"Nora Silvana Vigliecca",authors:[{id:"202008",title:"Dr.",name:"Nora",middleName:"Silvana",surname:"Vigliecca",slug:"nora-vigliecca",fullName:"Nora Vigliecca"}]}],mostDownloadedChaptersLast30Days:[{id:"60564",title:"Ageing Process and Physiological Changes",slug:"ageing-process-and-physiological-changes",totalDownloads:6862,totalCrossrefCites:16,totalDimensionsCites:31,abstract:"Ageing is a natural process. Everyone must undergo this phase of life at his or her own time and pace. In the broader sense, ageing reflects all the changes taking place over the course of life. These changes start from birth—one grows, develops and attains maturity. To the young, ageing is exciting. Middle age is the time when people notice the age-related changes like greying of hair, wrinkled skin and a fair amount of physical decline. Even the healthiest, aesthetically fit cannot escape these changes. Slow and steady physical impairment and functional disability are noticed resulting in increased dependency in the period of old age. According to World Health Organization, ageing is a course of biological reality which starts at conception and ends with death. It has its own dynamics, much beyond human control. However, this process of ageing is also subject to the constructions by which each society makes sense of old age. In most of the developed countries, the age of 60 is considered equivalent to retirement age and it is said to be the beginning of old age. In this chapter, you understand the details of ageing processes and associated physiological changes.",book:{id:"6381",slug:"gerontology",title:"Gerontology",fullTitle:"Gerontology"},signatures:"Shilpa Amarya, Kalyani Singh and Manisha Sabharwal",authors:[{id:"226573",title:"Ph.D.",name:"Shilpa",middleName:null,surname:"Amarya",slug:"shilpa-amarya",fullName:"Shilpa Amarya"},{id:"226593",title:"Dr.",name:"Kalyani",middleName:null,surname:"Singh",slug:"kalyani-singh",fullName:"Kalyani Singh"},{id:"243264",title:"Dr.",name:"Manisha",middleName:null,surname:"Sabharwal",slug:"manisha-sabharwal",fullName:"Manisha Sabharwal"}]},{id:"55388",title:"Beauty, Body Image, and the Media",slug:"beauty-body-image-and-the-media",totalDownloads:7669,totalCrossrefCites:5,totalDimensionsCites:12,abstract:"This chapter analyses the role of the mass media in people’s perceptions of beauty. We summarize the research literature on the mass media, both traditional media and online social media, and how they appear to interact with psychological factors to impact appearance concerns and body image disturbances. There is a strong support for the idea that traditional forms of media (e.g. magazines and music videos) affect perceptions of beauty and appearance concerns by leading women to internalize a very slender body type as ideal or beautiful. Rather than simply being passive recipients of unrealistic beauty ideals communicated to them via the media, a great number of individuals actually seek out idealized images in the media. Finally, we review what is known about the role of social media in impacting society’s perception of beauty and notions of idealized physical forms. Social media are more interactive than traditional media and the effects of self‐presentation strategies on perceptions of beauty have just begun to be studied. This is an emerging area of research that is of high relevance to researchers and clinicians interested in body image and appearance concerns.",book:{id:"5925",slug:"perception-of-beauty",title:"Perception of Beauty",fullTitle:"Perception of Beauty"},signatures:"Jennifer S. Mills, Amy Shannon and Jacqueline Hogue",authors:[{id:"202110",title:"Dr.",name:"Jennifer S.",middleName:null,surname:"Mills",slug:"jennifer-s.-mills",fullName:"Jennifer S. Mills"}]},{id:"56505",title:"Aesthetics of the Naked Human Body: From Pornography (Sexualised Lust Object) to Iconography (Aesthetics of Human Nobility and Wisdom) in an Anthropology of Physical Beauty",slug:"aesthetics-of-the-naked-human-body-from-pornography-sexualised-lust-object-to-iconography-aesthetics",totalDownloads:2079,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"In many religious circles and philosophies of life, the human body is excluded from the realm of spirituality and meaning. Due to a dualistic approach, nudity is viewed as merely a physical and corporeal category. In social media, there is the real danger that the naked human body is exploited for commercial gain. Advertisements often leave the impression that the body, very specifically the genitals, is designed merely for physical desire and corporeal chemistry. They become easily objects for lust, excluded from the beauty of graceful existence and noble courage. It is argued that the naked human body is not designed for pornographic exploitation and promiscuous sensuality but for compassionate intimacy and nurturing care in order to instil a humane dimension in human and sexual encounters. In this regard, antiquity and the Michelangelesque perspective can contribute to a paradigm shift from abusive exploitation to the beauty of vulnerable sensitivity. In order to foster an integrative approach to theory formation in anthropology, the methodology of stereometric thinking is proposed.",book:{id:"5925",slug:"perception-of-beauty",title:"Perception of Beauty",fullTitle:"Perception of Beauty"},signatures:"Daniel J Louw",authors:[{id:"200645",title:"Prof.",name:"Daniel",middleName:"Johannes",surname:"Louw",slug:"daniel-louw",fullName:"Daniel Louw"}]},{id:"56059",title:"A Plastic Surgeon’s Perspective on Stereotyping and the Perception of Beauty",slug:"a-plastic-surgeon-s-perspective-on-stereotyping-and-the-perception-of-beauty",totalDownloads:1889,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"In the world of plastic surgery, misconceptions may lead to irrational requests or outcomes not appreciated by patients. Those who manage aesthetics should always listen and recognize the variability of cultural identities, desires, attitudes, anxieties and uncertainties of the patient. Emerging from a diversity of cultures and its transforming trends, the scope of cosmetic surgery and its practice reflect not only the individual’s personality, but also the culture as a whole. When counseling an individual, one has to recognize that even in groups of seemingly identical social or cultural standards; there are subtle differences in expectations. To illustrate the potential for inaccuracy of ethnic profiling in the field of plastic surgery authors quote their own work on Asian subjects and facial beauty and resort to experience of others. To reaffirm their opinion and to exemplify how sometimes “fine” differences in the perception of beauty exist, an original study that evaluates the preferences among selected groups of Latina women in respect to buttock aesthetics has been included. This dissertation will focus on how cultural factors influence beauty perception; strengthen the fact that beauty is in the eye of the beholder and how variable differences exist even between small subgroups.",book:{id:"5925",slug:"perception-of-beauty",title:"Perception of Beauty",fullTitle:"Perception of Beauty"},signatures:"Johanna D’Agostino and Marek Dobke",authors:[{id:"17590",title:"Dr.",name:"Marek K.",middleName:null,surname:"Dobke",slug:"marek-k.-dobke",fullName:"Marek K. Dobke"},{id:"201244",title:"Dr.",name:"Johanna",middleName:null,surname:"D'Agostino",slug:"johanna-d'agostino",fullName:"Johanna D'Agostino"}]},{id:"55690",title:"Animae Pulchrae: Depiction of Saintly Images in Byzantine Mural Painting",slug:"animae-pulchrae-depiction-of-saintly-images-in-byzantine-mural-painting",totalDownloads:1712,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter investigates the visual aspects of physical beauty of the saintly images depicted within the painterly ensembles of Byzantine art in the period between sixth and fifteenth centuries. It also examines the processes of transposition of beauty as a religious and ideological notion into the visual sphere of its iconographic and aesthetic significance. During the millennium of development of Byzantine mural painting, the different categories of saints have evolved in assemblies of respectable and influential characters with whom the believers could communicate through silent prayers, as well as through their own self-comparison. In that process of ideological interaction between the faithful and the saints as the “constitutional members” of the painted microcosmos of Christian temples, the physical appearance of the saintly images was, by all means, a strong argument in the religious discourse regarding their role in the mission for salvation of humanity. In that regard, each saintly category has received different visual concept of aesthetic values related to their specific physical attraction. Hence, different saintly categories have acquired different aesthetic codes for visual configuration of beauty in the structural design of their iconographic appearance throughout the era of Byzantine artistic production.",book:{id:"5925",slug:"perception-of-beauty",title:"Perception of Beauty",fullTitle:"Perception of Beauty"},signatures:"Elizabeta Dimitrova",authors:[{id:"201062",title:"Distinguished Prof.",name:"Elizabeta",middleName:null,surname:"Dimitrova",slug:"elizabeta-dimitrova",fullName:"Elizabeta Dimitrova"}]}],onlineFirstChaptersFilter:{topicId:"235",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82112",title:"Comparative Senescence and Lifespan",slug:"comparative-senescence-and-lifespan",totalDownloads:7,totalDimensionsCites:0,doi:"10.5772/intechopen.105137",abstract:"The word senescence is derived from the Latin word “senex” (meaning old). In biology, senescence is a process by which a cell ages and permanently stops dividing. Senescence is a natural universal phenomenon affecting all living organisms (e.g., humans, animals, and plants). It is the process of growing old (aging). The underlying mechanisms of senescence and aging at the cellular level are not fully understood. Senescence is a multifactorial process that can be induced by several stimuli including cellular stress, DNA damage, telomere shortening, and oncogene activation. The most popular theory to explain aging is the free radical theory. Senescence plays a role in the development of several age-related chronic diseases in humans (e.g., ischemic heart disease, osteoporosis, and cancer). Lifespan is a biological characteristic of every species. The lifespan of living organisms ranges from few hours (with mayfly) to potential eternity (with jellyfish and hydra). The maximum theoretical lifespan in humans is around 120 years. The lifespan in humans is influenced by multiple factors including genetic, epigenetic, lifestyle, environmental, metabolic, and endocrine factors. There are several ways to potentially extend the lifespan of humans and eventually surpass the maximum theoretical lifespan of 120 years. The tools that can be proposed include lifestyle, reduction of several life-threatening diseases and disabilities, hormonal replacement, antioxidants, autophagy inducers, senolytic drugs, stem cell therapy, and gene therapy.",book:{id:"10935",title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg"},signatures:"Hassan M. Heshmati"},{id:"81638",title:"Aging and Neuropsychiatric Disease: A General Overview of Prevalence and Trends",slug:"aging-and-neuropsychiatric-disease-a-general-overview-of-prevalence-and-trends",totalDownloads:24,totalDimensionsCites:0,doi:"10.5772/intechopen.103102",abstract:"The increasing trend of life-expectancy is becoming a significant demographic, societal and economic challenge. Currently, global number of people above sixty years of age is 900 million, while United Nations expect this number to rise to over 1.4 billion in 2030 and over 2.5 billion by 2050. Concordant to this trend, numerous physiological changes are associated with aging and brain-related ones are associated with neuropsychiatric diseases. The main goal of this chapter is to identify the most important neuropsychiatric diseases to assess in older patients to help to promote health and prevent diseases and complications associated with chronic illness, as these changes are progressive and require important psychological and setting-related social adjustments. Findings identify several health-aspects highly present in elderly: stroke, white matter lesions, dementia rise with age, changes in levels of neurotransmitters and hormones, depression as well as the bereavement following loss of the loved one, and the most common neurodegenerative disease—Alzheimer’s disease and Parkinson’s. In conclusion, studying the aging process should include all developmental, circumstantial, and individual aspects of aging. This offers opportunities to improve the health of elderly by using a wide range of skills and knowledge. Thus, further studies are necessary to elucidate what can be done do to improve the aging process and health of elderly in the future.",book:{id:"10935",title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg"},signatures:"Jelena Milić"},{id:"80326",title:"Anti-Senescence Therapy",slug:"anti-senescence-therapy",totalDownloads:101,totalDimensionsCites:0,doi:"10.5772/intechopen.101585",abstract:"The development of therapeutic strategies aimed at the aging process of cells has attracted increasing attention in recent decades due to the involvement of this process in the development of many chronic and age-related diseases. Interestingly, preclinical studies have shown the success of a number of anti-aging approaches in the treatment of a range of chronic diseases. These approaches are directed against aging processes such as oxidative stress, telomerase shortening, inflammation, and deficient autophagy. Many strategies has been shown to be effective in delaying aging, including antiaging strategies based on establishing healthy lifestyle habits and pharmacological interventions aimed at disrupting senescent cells and senescent-associated secretory phenotype. Caloric restriction and intermittent fasting were reported to activate autophagy and reduce inflammation. In turn, immune-based strategies, senolytic agents, and senomorphics mediate their effects either by eliminating senescent cells through inducing apoptosis or by disrupting pathways by which senescent cells mediate their detrimental effects. In addition, given the association of the decline in the regenerative potential of stem cells with aging, many experimental and clinical studies indicate the effectiveness of stem cell transplantation in preventing or slowing the progress of age-related diseases by enhancing the repairing mechanisms and the secretion of many growth factors and cytokines.",book:{id:"10935",title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg"},signatures:"Raghad Alshadidi"},{id:"79828",title:"Cellular Senescence in Bone",slug:"cellular-senescence-in-bone",totalDownloads:106,totalDimensionsCites:0,doi:"10.5772/intechopen.101803",abstract:"Senescence is an irreversible cell-cycle arrest process induced by environmental, genetic, and epigenetic factors. An accumulation of senescent cells in bone results in age-related disorders, and one of the common problems is osteoporosis. Deciphering the basic mechanisms contributing to the chronic ailments of aging may uncover new avenues for targeted treatment. This review focuses on the mechanisms and the most relevant research advancements in skeletal cellular senescence. To identify new options for the treatment or prevention of age-related chronic diseases, researchers have targeted hallmarks of aging, including telomere attrition, genomic instability, cellular senescence, and epigenetic alterations. First, this chapter provides an overview of the fundamentals of bone tissue, the causes of skeletal involution, and the role of cellular senescence in bone and bone diseases such as osteoporosis. Next, this review will discuss the utilization of pharmacological interventions in aging tissues and, more specifically, highlight the role of senescent cells to identify the most effective and safe strategies.",book:{id:"10935",title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg"},signatures:"Danielle Wang and Haitao Wang"},{id:"79668",title:"Identification of RNA Species That Bind to the hnRNP A1 in Normal and Senescent Human Fibroblasts",slug:"identification-of-rna-species-that-bind-to-the-hnrnp-a1-in-normal-and-senescent-human-fibroblasts",totalDownloads:73,totalDimensionsCites:0,doi:"10.5772/intechopen.101525",abstract:"hnRNP A1 is a member of the hnRNPs (heterogeneous nuclear ribonucleoproteins) family of proteins that play a central role in regulating genes responsible for cell proliferation, DNA repair, apoptosis, and telomere biogenesis. Previous studies have shown that hnRNPA1 had reduced protein levels and increased cytoplasmic accumulation in senescent human diploid fibroblasts. The consequence of reduced protein expression and altered cellular localization may account for the alterations in gene expression observed during senescence. There is limited information for gene targets of hnRNP A1 as well as its in vivo function. In these studies, we performed RNA co-immunoprecipitation experiments using hnRNP A1 as the target protein to identify potential mRNA species in ribonucleoprotein (RNP) complexes. Using this approach, we identified the human double minute 2 (HDM2) mRNA as a binding target for hnRNP A1 in young and senescent human diploid fibroblasts cells. It was also observed that alterations of hnRNP A1 expression modulate HDM2 mRNA levels in young IMR-90 cells. We also demonstrated that the levels of HDM2 mRNA increased with the downregulation of hnRNP A1 and decrease with the overexpression of hnRNP A1. Although we did not observe a significant decrease in HDM2 protein level, a concomitant increase in p53 protein level was detected with the overexpression of hnRNP A1. Our studies also show that hnRNP A1 directly interacts with HDM2 mRNA at a region corresponding to its 3′ UTR (untranslated region of a gene). The results from this study demonstrate that hnRNP A1 has a novel role in participating in the regulation of HDM2 gene expression.",book:{id:"10935",title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg"},signatures:"Heriberto Moran, Shanaz A. Ghandhi, Naoko Shimada and Karen Hubbard"},{id:"79295",title:"Genetic and Epigenetic Influences on Cutaneous Cellular Senescence",slug:"genetic-and-epigenetic-influences-on-cutaneous-cellular-senescence",totalDownloads:122,totalDimensionsCites:0,doi:"10.5772/intechopen.101152",abstract:"Skin is the largest human organ system, and its protective function is critical to survival. The epithelial, dermal, and subcutaneous compartments are heterogeneous mixtures of cell types, yet they all display age-related skin dysfunction through the accumulation of an altered phenotypic cellular state called senescence. Cellular senescence is triggered by complex and dynamic genetic and epigenetic processes. A senescence steady state is achieved in different cell types under various and overlapping conditions of chronological age, toxic injury, oxidative stress, replicative exhaustion, DNA damage, metabolic dysfunction, and chromosomal structural changes. These inputs lead to outputs of cell-cycle withdrawal and the appearance of a senescence-associated secretory phenotype, both of which accumulate as tissue pathology observed clinically in aged skin. This review details the influence of genetic and epigenetic factors that converge on normal cutaneous cellular processes to create the senescent state, thereby dictating the response of the skin to the forces of both intrinsic and extrinsic aging. From this work, it is clear that no single biomarker or process leads to senescence, but that it is a convergence of factors resulting in an overt aging phenotype.",book:{id:"10935",title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg"},signatures:"Tapash Jay Sarkar, Maiko Hermsmeier, Jessica L. Ross and G. Scott Herron"}],onlineFirstChaptersTotal:6},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:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,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:105,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:17,numberOfOpenTopics:2,numberOfUpcomingTopics:1,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:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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",coverUrl:"https://cdn.intechopen.com/series/covers/23.jpg",latestPublicationDate:"June 25th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:0,editor:{id:"280770",title:"Dr.",name:"Katherine K.M.",middleName:null,surname:"Stavropoulos",slug:"katherine-k.m.-stavropoulos",fullName:"Katherine K.M. Stavropoulos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRdFuQAK/Profile_Picture_2022-05-24T09:03:48.jpg",biography:"Katherine Stavropoulos received her BA in Psychology from Trinity College, in Connecticut, USA. Dr. Stavropoulos received her Ph.D. in Experimental Psychology from the University of California, San Diego. She completed her postdoctoral work at the Yale Child Study Center with Dr. James McPartland. Dr. Stavropoulos’ doctoral dissertation explored neural correlates of reward anticipation to social versus nonsocial stimuli in children with and without autism spectrum disorders (ASD). She has been a faculty member at the University of California, Riverside in the School of Education since 2016. Her research focuses on translational studies to explore the reward system in ASD, as well as how anxiety contributes to social challenges in ASD. She also investigates how behavioral interventions affect neural activity, behavior, and school performance in children with ASD. She is also involved in the diagnosis of children with ASD and is a licensed clinical psychologist in California. She is the Assistant Director of the SEARCH Center at UCR and is a Faculty member in the Graduate Program in Neuroscience.",institutionString:null,institution:{name:"University of California, Riverside",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:2,paginationItems:[{id:"89",title:"Education",coverUrl:"https://cdn.intechopen.com/series_topics/covers/89.jpg",isOpenForSubmission:!1,editor:{id:"260066",title:"Associate Prof.",name:"Michail",middleName:null,surname:"Kalogiannakis",slug:"michail-kalogiannakis",fullName:"Michail Kalogiannakis",profilePictureURL:"https://mts.intechopen.com/storage/users/260066/images/system/260066.jpg",biography:"Michail Kalogiannakis is an Associate Professor of the Department of Preschool Education, University of Crete, and an Associate Tutor at School of Humanities at the Hellenic Open University. He graduated from the Physics Department of the University of Crete and continued his post-graduate studies at the University Paris 7-Denis Diderot (D.E.A. in Didactic of Physics), University Paris 5-René Descartes-Sorbonne (D.E.A. in Science Education) and received his Ph.D. degree at the University Paris 5-René Descartes-Sorbonne (PhD in Science Education). His research interests include science education in early childhood, science teaching and learning, e-learning, the use of ICT in science education, games simulations, and mobile learning. He has published over 120 articles in international conferences and journals and has served on the program committees of numerous international conferences.",institutionString:"University of Crete",institution:{name:"University of Crete",institutionURL:null,country:{name:"Greece"}}},editorTwo:{id:"422488",title:"Dr.",name:"Maria",middleName:null,surname:"Ampartzaki",slug:"maria-ampartzaki",fullName:"Maria Ampartzaki",profilePictureURL:"https://mts.intechopen.com/storage/users/422488/images/system/422488.jpg",biography:"Dr Maria Ampartzaki is an Assistant Professor in Early Childhood Education in the Department of Preschool Education at the University of Crete. Her research interests include ICT in education, science education in the early years, inquiry-based and art-based learning, teachers’ professional development, action research, and the Pedagogy of Multiliteracies, among others. 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