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This book presents carefully curated works from the 10th Conference on Biomechanics, where 135 researchers converged to explore the forefront of biomechanical inquiry. The chapters cover research spanning biomaterials, clinical biomechanics, sports biomechanics, experimental biomechanics, and teaching biomechanics. Each contribution was selected through a rigorous peer-review process and encapsulates the essence of contemporary biomechanics, offering critical insights into innovative materials, diagnostic strategies, performance optimization techniques, empirical investigations, and pedagogical approaches.

Bioengineering. --- Biomechanics. --- Biological and Physical Engineering.

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This book includes recent articles with new findings in Mathematics and Computer Science, Microbiology and Biotechnology, Environmental Science and Oceanography, Physics and Physical Chemistry, Chemistry, and Biochemistry. Also, it contains some articles on the state of the art. The books shows the interaction of the different disciplines of basic sciences and their roles to achieve the green environment and sustainable development via the application of green sciences. Also, the data and information in this book include solving problems in the statistic statistical and computer analysis of many experimental data; broaden the understanding for of many environmental phenomena; broaden the understanding on of how many green synthetic materials could be achieved and examples of their application in biochemistry and microbiology fields; explain how the basic sciences can help in the sustainable development; and explain how deep learning could be used in predicting some phenomena. Additionally, the book enriches understanding of many microbiological and biochemical phenomena and provides complete instructions for many biotechnological aspects. It provides complete instructions for representative waste treatment; enriches understanding of how some biochemical compounds could be tested for representative disease management; case studies that illustrate newly developed equation equations in physics; and summarizes the latest studies in the completeness between basic sciences and climate changes.

Environment. --- Oceanography. --- Biotechnology. --- Bioengineering. --- Mathematics. --- Environmental Sciences. --- Ocean Sciences. --- Biological and Physical Engineering. --- Applications of Mathematics.

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This book is presented on biofuel production which includes different technologies developed and adopted to synthesize green renewable fuel alternatives for sustainable development. It also reflects different sources of biofuel, application of microbial community and microbial engineering to design fuel production and the biosynthetic pathways of biofuel production by microbes. Although the expenses for the physical and chemical technologies for energy production and fossil fuel utilization to protect our environment are very high, these technologies are not eco-friendly and safe. Hence, the need of certain modern eco-friendly and cost-effective techniques to protect our environment is deeply apprehended by different workers of this field. These techniques involve some feasible technologies utilizing different biological agents like microbes to produce renewable energy. This book provides an outline of the science behind the multidisciplinary aspects of biofuel production. It summarizes a solid foundation in the fundamentals and progresses to practical applications in this field. It structures stepwise route for a number of effective techniques to screen, select, identify and utilize microbes for biofuel production and utilization. It also focuses on the theoretical groundworks of biofuel production, recent technologies related to microbial engineering like myco-engineering technologies, microbial metabolism or modelling approaches to microbial physiology utilized for the same purpose. The techniques covered in this book ensure that scientists have the knowledge to practice effective biofuel production techniques themselves in a contaminated ecosystem in a sustainable way. Recent progress in the field of biofuels using microbial genetic engineering has larger perspectives in commercial-scale production. However, its large-scale production is still challenging; hence, to resolve this problem, it is essential to convert biomass into biofuels by developing novel technology to increase biofuel production to fulfil the current and future energy demand.

Renewable energy sources. --- Bioengineering. --- Sustainability. --- Chemistry, Technical. --- Renewable Energy. --- Biological and Physical Engineering. --- Industrial Chemistry. --- Biomass energy.

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This book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines—such as physics, chemistry, biology, medicine, psychology and many more. It elucidates core mathematical concepts in an accessible and straightforward manner, maintaining rigorous mathematical integrity. For readers more versed in mathematics, the book includes advanced sections that are not prerequisites for the initial reading. It ensures concepts are clearly defined and theorems are proven where it's pertinent. Machine learning transcends the mere implementation and training of algorithms; it encompasses the broader challenges of constructing robust datasets, model validation, addressing imbalanced datasets, and fine-tuning hyperparameters. These topics are thoroughly examined within the text, along with the theoretical foundations underlying these methods. Rather than concentrating on particular algorithms this book focuses on the comprehensive concepts and theories essential for their application. It stands as an indispensable resource for any scientist keen on integrating machine learning effectively into their research. Numerous texts delve into the technical execution of machine learning algorithms, often overlooking the foundational concepts vital for fully grasping these methods. This leads to a gap in using these algorithms effectively across diverse disciplines. For instance, a firm grasp of calculus is imperative to comprehend the training processes of algorithms and neural networks, while linear algebra is essential for the application and efficient training of various algorithms, including neural networks. Absent a solid mathematical base, machine learning applications may be, at best, cursory, or at worst, fundamentally flawed. This book lays the foundation for a comprehensive understanding of machine learning algorithms and approaches. .

Machine learning. --- Bioinformatics. --- Mathematical physics. --- Computer simulation. --- Bioengineering. --- Computational intelligence. --- Machine Learning. --- Computational Physics and Simulations. --- Computational and Systems Biology. --- Biological and Physical Engineering. --- Computational Intelligence.

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This book describes the bioinformatics research field, from its historical roots to the cutting-edge technologies. Many readers can discover the power of next-generation sequencing and genomic data analysis, uncover the secrets of single-cell genomics and transcriptomics, explore the metagenomics and microbiome analysis, and predict the protein structures using structural bioinformatics. Several case studies witnessing the fusion of bioinformatics and artificial intelligence, driving insights from vast biological datasets have also been explored. Other important aspects listed in the book are integrating the omics data for a holistic view of biological systems; experiencing the future of medicine with precision healthcare and personalized treatments; accelerating drug discovery and repurposing through computational approaches; agricultural genomics; and exploring the role of immunoinformatics in designing effective vaccines against infectious diseases.

Bioinformatics. --- Bioengineering. --- Drug delivery systems. --- Drugs --- Biological and Physical Engineering. --- Computational and Systems Biology. --- Drug Delivery. --- Structure-Based Drug Design. --- Design.