Pharmacogenomics and Personalized Medicine: Shaping the Future of Drug | Book Publisher International

 

Pharmacogenomics is a revolutionary medical practice in the contemporary medicine as it helps clarify the impacts of genetic variability on medicine response, effectiveness, and safety. The field is synergizing genomic data with clinical decision-making, and thus allows optimization of pharmacotherapy according to the genetic profile of the individual instead of the traditional approach of treating everyone with the same strategy, i.e., one-size-fits-all. Individual medicine supported by the development of pharmacogenomics can potentially reduce adverse drug reactions, improve treatment results, and increase patient compliance and decrease healthcare expenses.

 

This book discusses the basic concepts of pharmacogenomics such as genetic polymorphisms in drug-metabolizing enzymes, transporters and pharmacological targets. It emphasizes the essential clinical applications in major therapeutic fields like oncology, cardiovascular diseases, neuropsychiatric disorder, and infectious diseases with special reference to the biomarker-directed therapy and dose individualization. The importance of the use of emerging technologies (next-generation sequencing, bioinformatics, and artificial intelligence) in expediting the pharmacogenomic investigation and clinical application is also presented.

 

Also, this book discusses the existing issues that constrain the overall implementation of pharmacogenomics, such as ethics, population diversity, regulatory policies, and economical limitations. This work highlights the critical contribution of pharmacogenomics to the future of drug development and precision healthcare, giving way to safer, more effective and patient-centered therapeutic approaches because it provides an integrated overview of both scientific, clinical and translational views.

Author(s) Details

Dr. Abeer Mansour Abdel Rasool
Department of Pharmacology and Toxicology, College of Pharmacy, Nineveh University, Nineveh, Iraq.

 

Ahmed Ibrahim Younis
Department of Pharmacology and Toxicology, College of Pharmacy, Nineveh University, Nineveh, Iraq.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-81-999106-9-0

Palygorskite: A Review on Chemical Structure, Properties and Applications | Book Publisher International

 

This book offers a thorough and systematic overview of palygorskite, a fibrous magnesium–aluminium silicate that has emerged as one of the most promising natural nanomaterials in modern scientific research. It traces the mineral’s journey from its geological origins and the strategic significance of major global deposits – highlighting those in Brazil, China, and the United States – to a rigorous analysis of its crystallographic complexity. The book presents the chronological development of structural models, discussing how advances in understanding octahedral ribbons and nanometric channels have enabled hightechnology applications. The scientific core examines host-guest interaction mechanisms from the perspective of extreme molecular confinement. By integrating experimental data and computational simulations, such as Molecular Dynamics and Density Functional Theory (DFT), it demonstrates how the unique geometry of palygorskite nanochannels governs fluid self-organisation and the thermal stability of organic compounds. A key feature of this edition is an in-depth technical analysis of the mineral’s beneficiation and physicochemical activation. Cascade purification protocols are covered, from mechanical dispersion of single crystals to acid and thermal activation, establishing critical temperature limits to prevent structural folding and porosity loss. At the forefront of environmental, industrial, and biomedical applications, the text details palygorskite’s role in water remediation, the development of green chemistry antibacterial systems, and the creation of hybrid membranes for desalination. It also discusses innovations in Fenton-like catalysis and tribology, where the mineral serves as an active support and self-lubricating agent. The book also highlights current challenges and future perspectives, including material regeneration, safety assessment, and structure-guided functionalisation, which are essential for the responsible and scalable use of palygorskite-based technologies. Overall, the review concludes that palygorskite’s unique nanoarchitecture enables a rare combination of adsorption selectivity, thermal stability, and multifunctionality, positioning this mineral as a key platform for next generation sustainable materials and technologies. This work is an indispensable resource for researchers seeking to understand how the structural intelligence and precise processing of clay minerals can be transformed into sustainable and groundbreaking technological solutions for the challenges of the 21st century.

 

Author(s) Details

Pedro H.B. Lima
Graduate Program in Chemistry, Federal University of Piauí, Center for Nature Sciences, Minister Petrônio Portella University Campus, Ininga, 64049-550 Teresina, PI, Brazil.

 

Alexandre A. De Souza
Graduate Program in Chemistry, Federal University of Piauí, Center for Nature Sciences, Minister Petrônio Portella University Campus, Ininga, 64049-550 Teresina, PI, Brazil.

 

Sidney G. de Lima
Graduate Program in Chemistry, Federal University of Piauí, Center for Nature Sciences, Minister Petrônio Portella University Campus, Ininga, 64049-550 Teresina, PI, Brazil.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-81-999106-3-8

Characteristics of the Solution of a Certain Riccati Differential Equation Using GeoGebra in Engineering Students through a Case Study | Chapter 9 | Mathematics and Computer Science: Research Updates Vol. 6

 

The objective of this study was to explore how engineering students at the University of Sinú (Colombia) understand and solve a Riccati differential equation using GeoGebra during the first semester of 2024. A qualitative approach was adopted with a case study design, involving three students selected at the researchers’ discretion from a total of nine students in the differential equations course. Through semi-structured interviews, the study aimed to identify the usefulness of the software for visualising and verifying solutions, as well as to recognise students’ perceptions of its advantages and limitations. The results show that GeoGebra facilitated the graphical representation of the comparison between manual and computational solutions, and the analysis of conceptual errors, which strengthened the understanding of the behaviour of differential solutions. Among the advantages, participants highlighted the immediacy in verifying results and the visual clarity for the graphical interpretation of equations, while as limitations, they pointed out technological dependence and the initial difficulty in learning the digital environment. In conclusion, the use of GeoGebra not only increases students’ motivation but also constitutes a valuable pedagogical resource for improving the teaching and learning of differential equations, providing relevant implications for engineering education. Learning differential equations provides relevant implications for engineering education.

 

 

Author(s) Details

Jorge Olivares Funes
University of Antofagasta, Chile.

 

Eber Javier Lenes Puello
University of Sinú, Cartagena Section, Area of Exact Basic Sciences, Colombia.

 

Pablo Martin
University of Antofagasta, Chile.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v6/6186

 

Real-Time Object Detection via Cloud-Enabled Deep Learning: A Systematic Review | Chapter 6 | Mathematics and Computer Science: Research Updates Vol. 6

 

Automated vehicles, advanced surveillance systems, AR, and robots are just a few of the many new uses for real-time object recognition.  While deep learning models are becoming increasingly complex and accurate, they might be challenging to execute on edge devices with limited resources due to the computational demands. By offloading computationally intensive processes to scalable cloud infrastructure, cloud-enabled deep learning enables real-time processing without sacrificing detection accuracy, offering an effective alternative.  This study takes a close look at the current setup of cloud-based object recognition methods that work in real time. When considering latency, bandwidth, privacy, and processing costs, the pros and cons of several architectural paradigms are evaluated, including hybrid methodology, distributed inference, and edge-cloud cooperation. Additionally, the developments of lightweight convolutional neural networks (CNNs), single-shot detectors, and model compression techniques are examined, all of which are aimed at real-time performance in cloud environments.  Improving fault tolerance, optimizing data transmission, safeguarding data security and privacy, and developing more adaptive and efficient cloud resource management strategies for dynamic real-time object detection contexts are all areas that could be further explored in this review.

 

 

Author(s) Details

Abdul Razzak Khan Qureshi
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Ruby Bhatt
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Govinda Patil
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v6/5867

 

Book of Contemporary Multidisciplinary Research | Book Publisher International

 

This volume stems from the International Conference on Business and Management Dynamics (ICBMD) which seeks to understand the socio-economic problems and prospects of the global intricacies of the cycle of global evolution and socio-economic development and in the sphere of business and management. It exemplifies the ICBMD’s commitment to Interdisciplinary scholarship and the context-sensitive constructive scholarship of theory, practice and policy.

 

The diverse contributors to this volume have one thing in common – an attempt to understand how various organisations, institutions, and communities manage and respond to the complexities of volatility, inequality, digital disruption, and structural change in both developing and developed worlds. Despite the varying backgrounds of the contributors which include business management, economics, entrepreneurship, technology, public governance and development, they are united in their interest toward the study of the economy and the socio-system of technologies and governance and the democratic structures of society. In this regard, this volume is a manifestation of ICBMD’s commitment to support cross-disciplinary scholarship.

 

The focus of analyses is on Africa and the Global South, particularly emergent and transitional economies. This focus is neither a coincidence, nor is it a mere tokenism. It speaks to the appreciative of the conference that the production of global knowledge is to acknowledge the margins and the context and the consequences of the knowledge production. Therefore, the chapters go beyond the abstract theorisation, and address, in particular, economic and other forms of inequalities, digital divides, and other ecosystem issues, entrepreneurial ecosystem issues, organisational resilience and governance, and value(s) in sustainability.

 

The volume demonstrates a range of methodologies. The combination of conceptual, empirical, qualitative and quantitative, and normative and applied work is deliberate and speaks to ICBMD’s preference for responding to complex societal challenges with integrative and adaptive approaches rather than reductive ones.

 

This publication is intended to serve several purposes linked to possible audiences co-related to ICBMD. For scholars, we address current debates and construct empirically backed theoretical propositions. For practitioners and policymakers, we offer insights and analytical frameworks to support flexible decision-making in difficult and turbulent situations. For postgraduate and early career researchers, we exemplify scholarly rigour, contextual prominence, and ethical reflexivity.

 

What we do know and can say with confidence is that business and management scholarship ought to remain socially responsive and intellectually courageous, and future oriented. We hope the chapters in this volume spark research, stimulate discourse, and advocate for more socially inclusive, creatively innovative, and economically sustainable flexible systems.

 

Editor(s) Details

Prof. Michael Twum-Darko

Faculty of Business and Management Sciences at Cape Peninsula University of Technology in Cape Town, South Africa.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-81-998711-6-8

 

 

Emerging Horizons in Scientific Research | Book Publisher International

 

Scientific research is undergoing a profound transformation driven by rapid technological advances, interdisciplinary integration, and an urgent global need for sustainable and innovative solutions. The edited volume Emerging Horizons in Scientific Research is conceived against this dynamic backdrop, with the aim of presenting contemporary developments across diverse yet interconnected domains of science. This book brings together ten thoughtfully curated chapters authored by experts, offering a panoramic view of how fundamental science and applied research are jointly shaping the future.

 

The opening chapters lay a strong foundation by highlighting the pivotal role of core scientific disciplines in modern innovation. Chapter 1 explores the role of biotechnology in advancing medical diagnostics and therapeutics, emphasizing cutting-edge tools that are redefining healthcare outcomes. Chapter 2 traces the contribution of chemistry to scientific innovations from past milestones to present achievements and future prospects, underscoring its central role as the “central science” linking multiple disciplines. Advances in materials science and nanotechnology are addressed in Chapters 3 and 5. Chapter 3 focuses on bio-nanocomposites, covering their synthesis, characterization, and multifunctional applications in areas ranging from biomedicine to environmental remediation. Chapter 5 provides a comprehensive review of computational approaches in nanomaterials, with particular emphasis on Density Functional Theory (DFT) and Machine Learning applications that are accelerating materials discovery and design. Energy sustainability and environmental stewardship form another major theme of this volume. Chapter 4 presents analytical and mathematical approaches for modeling and optimizing solar wind renewable energy systems, offering insights into efficient energy harvesting and system optimization. Chapter 6 discusses transformative approaches in green chemistry aimed at minimizing environmental impact while maximizing efficiency and innovation. Complementing this, Chapter 7 addresses water quality, focusing on strategies to transform pollution into purity and ensure both human health and environmental sustainability. Frontiers of fundamental science and advanced synthesis are explored in the concluding chapters. Chapter 8 delves into quantum technologies, presenting them as the next frontier in physics with far-reaching implications for computation, communication, and sensing. Chapter 9 reviews emerging trends in polymer science, highlighting novel materials and applications driving industrial and technological progress. Finally, Chapter 10 examines recent advances in the multicomponent synthesis of thiazoles, showcasing innovative synthetic strategies relevant to pharmaceuticals and functional materials.

 

Collectively, the chapters in this book reflect the convergence of theory, experimentation, and computation, as well as the growing emphasis on sustainability and societal impact. Emerging Horizons in Scientific Research is intended to serve as a valuable reference for researchers, academicians, postgraduate students, and professionals across scientific disciplines. It is our hope that this volume will not only inform readers about recent advances but also inspire new ideas, collaborations, and future research directions at the frontiers of science.

 

Editor(s) Details                 

Anshul Bansal

Department of Chemistry at S. A. Jain (PG) College, Ambala City, Haryana, India.

 

Nitya Kaushik

Department of Chemistry, Kurukshetra University, Kurukshetra (Haryana), India.

 

Poonam

Department of Chemistry, Ambedkar Government College, Kaithal (Haryana), India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-81-998711-7-5

Algorithmic Society and the Future of Sociology: Epistemic, Theoretical and Global South Interventions | Chapter 7 | New Horizons of Science, Technology and Culture Vol. 7

 

The rapid proliferation of artificial intelligence (AI) and algorithmic infrastructures has created a profound epistemic turning point for sociology. This chapter provides a theoretical and critical conceptual analysis, highlighting how algorithmic systems restructure knowledge production, social interaction, rationality, and governance. Drawing upon sociological, philosophical, decolonial, and media theoretical frameworks, the chapter argues that sociology must undergo epistemic realignment to sustain intellectual authority and conceptual relevance in the twenty-first century. Selective empirical illustrations, such as India’s Aadhaar system and African language AI initiatives, demonstrate how Global South interventions challenge Eurocentric and techno-centric approaches, producing alternative epistemologies and social imaginaries.

 

Author(s) Details

Sameena Z Mir
School of Law & Liberal Arts, Ajeenkya DY Patil University, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/nhstc/v7/6936