The Abu Serga Church is one of the oldest known Coptic churches in Egypt with a history of almost 1700 years. This reference work presents a comprehensive geotechnical and geophysical survey of the vicinity of the Abu Serga Church. The book details the information of the survey using classical and modern methods of geotechnical engineering while keeping contemporary issues faced by site investigators in view. Chapters provide the data of the church site while covering topics of interest to students such as seismic analysis 3-D modeling and historical preservation principles. Advanced methods of interest to engineers such as mathematical analysis using finite element methods are also covered.

This work provides key data about the Abu Sega Church site and is of interest to scholars and engineers involved in conservation engineering of architectural heritage (or built heritage) as well as readers interested in church studies.

In Memory of Ethics: A Dissection of Ethical and Social Issues in Pakistani Professional Healthcare Practice explores the ethical challenges faced within the healthcare sector with a focus on Pakistan. From workplace behaviors to medical procedures COVID-19 era dilemmas and broader social health concerns the book explores the intricate intersection of ethics and healthcare in the region.

The book is divided into five sections. Section I covers topics such as workplace behaviors and ethical conducts while section II covers medical procedures and patient-doctor relationships. Section III addresses the unique ethical challenges brought forth by the COVID-19 pandemic including guidelines for therapists and the ethics of mandatory vaccinations. Section IV examines the impact of social media on healthcare gender discrimination and the ethical considerations surrounding prisoner rehabilitation. The final section offers insightful essays on ethical and social Issues covering topics like body shaming free healthcare and patient privacy. The editors also explore controversial topics including euthanasia abortion and assisted reproductive technology.

The key feature of this book is that it provides a comprehensive coverage of diverse ethical dilemmas in healthcare. Furthermore it is an attempt to give a subjective understanding of healthcare ethics through thought-provoking essays shedding light on contemporary ethical issues in a Pakistani context. The contributors have incorporated real-world examples and case studies to illustrate ethical principles in action.

In Memory of Ethics: A Dissection of Ethical and Social Issues in Pakistani Professional Healthcare Practice book is essential reading for anyone interested in understanding complex ethical and social issues and promoting integrity in healthcare practices.

This book is a comprehensive review of secondary metabolite production from plant tissue culture. The editors have compiled 12 meticulously organized chapters that provide the relevant theoretical and practical frameworks in this subject using empirical research findings. The goal of the book is to explain the rationale behind in vitro production of secondary metabolites from some important medicinal plants. Biotechnological strategies like metabolic engineering and the biosynthesis transport and modulation of important secondary metabolites are explained along with research studies on specific plants. In addition to the benefits of secondary metabolites the book also aims to highlight the commercial value of medicinal plants for pharmaceutical and healthcare ventures.

Topics covered in this part include:

1. In vitro propagation and tissue culture for several plants including Withania somnifera (L.) Dunal Aloe vera Oroxylum indicum (L) Kurz Ocimum basilicum L Rhubarb Tea and many others (including plants in Northern India).

2. Genetic Improvement of Pelargonium

3. Bioactive Components in Senna alata L. Roxb

4. Plant tissue culture techniques

The book caters to a wide readership. It primarily prepares graduate students researchers biotechnologists giving them a grasp of the key methodologies in the secondary metabolite production. It is a secondary reference for support executives industry professionals and policymakers at corporate and government levels to understand the importance of plant tissue culture and maximizing its impact in the herbal industry.

This book explores a revolutionary sensing technique called Indicator Displacement Assays (IDAs). It is designed to provide readers with a comprehensive understanding of the conceptual foundation and wide-ranging applications of IDAs. The book aims to fulfill a crucial gap in the existing references on the subject.

The content starts by explaining fundamental concepts design strategies and the scope of IDAs. Subsequent chapters elaborate on the intricate molecular recognition of various analytes offering insights into sensing mechanisms for cationic anionic and neutral molecules. The design and construction of colorimetric fluorescence and metal complexing IDAs are also thoroughly explored in later chapters followed by recent extensions of IDAs including enantioselective indicator displacement assays intramolecular indicator displacement assays reaction-based indicator displacement assays and more. Innovative applications of IDAs such as sensory arrays and electrochemical sensors are also discussed in detail providing a comprehensive understanding of their conceptual foundations and practical implementations.

The book is a primer on IDAs for researchers who want to understand the fundamentals of the technique as well as postgraduate students aiming to specialize in supramolecular and analytical chemistry.

This book is a compilation of knowledge about computer models in the three-phase stator reference frame. Chapters explore several aspects of the topic and build upon research previously presented by contributors. The book aims to provide interesting solutions to problems encountered in the design of railway and analysis in railway motors. The modeling approaches proposed by the authors in this book may become an incentive for readers and researchers to develop their ‘lifehacks’ to solve new problems in induction motor design and testing.

Key topics presented in the book:

- Approximate calculations of induction motor equivalent T-shaped circuit parameters with the use of catalogue data

- Simulations of different types of shaft load including fluid coupling

- Receiving static characteristics of an electric machine during simulation by means of dynamic model

- Simulation of the electric drive’s specific applications with three-phase induction motors building

- Direct start of an induction motor as part of an auxiliary drive of an AC electric locomotive containing a capacitor phase splitter starting with different types of shaft loads (fan or compressor).

Special attention has been given to the description of the thermal model of an induction motor with a squirrel-cage rotor which makes it possible to simulate operating modes when powered by an unbalanced voltage as well as with squirrel cage defects. The thermal model is presented as a detailed superstructure to the model of electromechanical processes of an induction electric machine.

Other key features of the book include references for further reading an appendix for the parameters of the equivalent thermal circuit of an NVA-55 induction motor.

The material presented in the book is of interest to railway motor engineers specialists in electromechanics and electric drives who use SPICE-compatible CAD applications in their work.

This volume is a compilation of reviews on the industrial usage of soil microorganisms. The contents include 16 brief reviews on different soil microbe assisted industrial processes. Readers will be updated about recent applications of soil bacteria fungi and algae in sectors such as agriculture biotechnology environmental management.

The reviews also cover special topics like sustainable agriculture biodiversity ecology and intellectual property rights of patented strains giving a broad perspective on industrial applications of soil microbes.

Volume 3 emphasizes various soil microorganisms including cyanobacteria and mycorrhiza. The 16 chapters cover the ecological significance of mycorrhiza to and their role in sustainable agriculture microbial interactions with nematodes microbes as biocontrol agents and the use of endophytes in agriculture Chapters also shed light on industrial aspects and microbial biotransformation providing a comprehensive view of sustainable agricultural practices. Special topics such as the microbial carotenoids are also included.

This volume is a compilation of reviews on the industrial usage of soil microorganisms. The contents include 16 brief reviews on different soil microbe assisted industrial processes. Readers will be updated about recent applications of soil bacteria fungi and algae in sectors such as agriculture biotechnology environmental management.

The reviews also cover special topics like sustainable agriculture biodiversity ecology and intellectual property rights of patented strains giving a broad perspective on industrial applications of soil microbes.

Volume 2 includes reviews on destructive microbes like Macrophomina Phaseolina eco-friendly microbes like Beauveria Bassiana the identification of fungi in the rhizosphere the industrial application of Trichoderma and other topics. The text is easy to understand for readers of all levels with references provided for the benefit of advanced readers.

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases presents information about diseases of the respiratory system and the relevant diagnostic imaging techniques. The book focuses on intelligent diagnostic imaging systems.

The first section of the book deals with the physiological underpinnings of 3 major diseases that affect the respiratory system: tuberculosis lung cancer and COVID-19. This section also explains the basic principles of artificial Intelligence that support the diagnosis of these diseases.

The next section presents applications of intelligent systems to support the imaging diagnosis of COVID-19 and lung cancer with emphasis on digital health and telemedicine approaches.

Each chapter is organized into a readable format and is accompanied with a detailed bibliographical information for further reading.

This book is a reference for everyone seeking to understand how artificial intelligence can provide solutions for diagnostic support systems by processing and analyzing radiological images to improve early diagnosis and consequently lung disease prognosis.

This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare agriculture cybersecurity computing and transportation.

Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3 an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4 providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation offering insights into its applications.

The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW.

Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition and the book concludes with Chapter 16 which analyzes machine learning algorithms in healthcare.

The book is a resource for academics researchers educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

Machine learning is a subfield of artificial intelligence broadly defined as a machine's capability to imitate intelligent human behavior. Like humans machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many applications including fraud detection and prevention self-driving cars recommendation systems facial recognition technology and intelligent computing. This book helps beginners learn the art and science of machine learning. It presens real-world examples that leverage the popular Python machine learning ecosystem

The topics covered in this book include machine learning basics: supervised and unsupervised learning linear regression and logistic regression Support Vector Machines (SVMs). It also delves into special topics such as neural networks theory of generalisation and bias and fairness in machine learning. After reading this book computer science and engineering students - at college and university levels - will receive a complete understanding of machine learning fundamentals and will be able to implement neural network solutions in information systems and also extend them to their advantage.