For many years, the authors have investigated the adaptive role of heat shock proteins (HSPs) in different animals, including the representatives of homothermic and poikilothermic organisms that inhabit regions with contrasting thermal conditions. This book will summarize the data accumulated in the course of these studies and describe the general molecular mechanisms underlying the adaptation of various organisms to aggressive environments. We also concentrate on different evolutionary trends characteristic for HSP systems in the course of adaptation to fluctuating environmental conditions. In addition, we describe the peculiarities in the regulatory regions of heat shock genes necessary for fine tuning of these systems providing the adaptation to adverse conditions. Special emphasis is given to the role of mobile elements in the evolution and functioning of various groups of HSP genes. The book combines the results of field studies and laboratory analysis of stress genes systems.

This book is the third revised and updated English edition of the German textbook \Versuchsplanung und Modellwahl" by Helge Toutenburg which was based on more than 15 years experience of lectures on the course \- sign of Experiments" at the University of Munich and interactions with the statisticians from industries and other areas of applied sciences and en- neering. This is a type of resource/ reference book which contains statistical methods used by researchers in applied areas. Because of the diverse ex- ples combined with software demonstrations it is also useful as a textbook in more advanced courses, The applications of design of experiments have seen a signi?cant growth in the last few decades in di?erent areas like industries, pharmaceutical sciences, medical sciences, engineering sciences etc. The second edition of this book received appreciation from academicians, teachers, students and applied statisticians. As a consequence, Springer-Verlag invited Helge Toutenburg to revise it and he invited Shalabh for the third edition of the book. In our experience with students, statisticians from industries and - searchers from other ?elds of experimental sciences, we realized the importance of several topics in the design of experiments which will - crease the utility of this book. Moreover we experienced that these topics are mostly explained only theoretically in most of the available books.

The aim of this book is to present a range of analytical methods that can be used in formulation design and development and focus on how these systems can be applied to understand formulation components and the dosage form these build. To effectively design and exploit drug delivery systems, the underlying characteristic of a dosage form must be understood--from the characteristics of the individual formulation components, to how they act and interact within the formulation, and finally, to how this formulation responds in different biological environments. To achieve this, there is a wide range of analytical techniques that can be adopted to understand and elucidate the mechanics of drug delivery and drug formulation. Such methods include e.g. spectroscopic analysis, diffractometric analysis, thermal investigations, surface analytical techniques, particle size analysis, rheological techniques, methods to characterize drug stability and release, and biological analysis in appropriate cell and animal models. Whilst each of these methods can encompass a full research area in their own right, formulation scientists must be able to effectively apply these methods to the delivery system they are considering. The information in this book is designed to support researchers in their ability to fully characterize and analyze a range of delivery systems, using an appropriate selection of analytical techniques. Due to its consideration of regulatory approval, this book will also be suitable for industrial researchers both at early stage up to pre-clinical research.

This unique volume provides an insight into bioactive compounds of tea from studies of both chemical structures and pharmacological aspects. Examples of the beneficial health effects of tea compounds in managing health problems and diseases are presented, with an emphasis on viral diseases such as COVID-19. Vaccines are not always available in many countries, thus simple and inexpensive measures which are easily available to help mitigate for example, the COVID-19 pandemic, are urgently needed. Dietary bioactive compounds could be alternative nutritional approaches in combating infection in addition to existing therapies and also upcoming vaccines and drugs, by enhancing their efficacy. Features : Emphasizes the antiviral activity of the tea compounds and the latest findings against Coronavirus and SARS-Cov-2. Provides a general overview of tea constituents, chemical structures of these compounds and their potential health benefits. Tea is one of the most commonly used beverages around the world and people with different backgrounds will be interested in reading about its health benefits. Correlating the therapeutic effect of tea components with COVID-19 is extremely beneficial for health care team members and general population. Assists the reader in understanding the therapeutic value of using tea to tackle COVID-19 symptoms, offering simple, inexpensive tips to help mitigate the virus.

Provides exclusive material on refractories Discusses detailed descriptions of different shaped and unshaped refractories Uses phase diagrams for better understanding of concepts Explores details on testing and specifications including thermochemical and corrosion behaviour Includes a separate chapter on trends of refractories and other issues

It has been generally accepted that angiogenesis is involved in the pathogenesis of hematological malignancies, like acute and chronic leukemia, lymphoma, myelodysplastic syndromes, myeloproliferative neoplasms and multiple myeloma. The extent of angiogenesis in the bone marrow has been correlated with disease burden, prognosis and treatment outcome. Reciprocal positive and negative interactions between tumor cells and bone marrow stromal cells, namely hematopoietic stem cells, fibroblasts, osteoblasts/osteoclasts, endothelial cells, endothelial progenitor cells, T cells, macrophages and mast cells, mediated by an array of cytokines, receptors and adhesion molecules, modulate the angiogenic response in hematological tumors. More recently, it has been emphasized the pro-angiogenic role of the so called "vascular niche," indicating a site rich in blood vessels where endothelial cells and mural cells such as pericytes and smooth muscle cells create a microenvironment that affects the behavior of several stem and progenitor cells, in hematological malignancies.

Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

The book covers nonlinear physical problems and mathematical modeling, including molecular biology, genetics, neurosciences, artificial intelligence with classical problems in mechanics and astronomy and physics. The chapters present nonlinear mathematical modeling in life science and physics through nonlinear differential equations, nonlinear discrete equations and hybrid equations. Such modeling can be effectively applied to the wide spectrum of nonlinear physical problems, including the KAM (Kolmogorov-Arnold-Moser (KAM)) theory, singular differential equations, impulsive dichotomous linear systems, analytical bifurcation trees of periodic motions, and almost or pseudo- almost periodic solutions in nonlinear dynamical systems.

Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks. As a volume in the highly successful Methods in Molecular Biology (TM) series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and easy to use, Computational Biology is an ideal guide for all scientists interested in quantitative biology.

Features • Presents an accessible introduction to the topic in addition to more advanced material for specialists in the field. • Covers a broad spectrum of topics this new field. • Contains exciting case studies and examples, such as quantum dots, bionanomaterials, and future perspectives.

Since 9/11 and the U.S. anthrax attacks, public, and policy concerns about the security threats posed by biological weapons has increased significantly. As a result, there are now active international deliberations about what restrictions should be placed on the openness of scientific research. "Biotechnology, Security and the Search for Limits" examines these security implications for life science research as well as the methodological issues associated with conducting social research. In doing so the book considers the place of biological and social research in creating and responding to societal problems through drawing on diverse academic traditions such as discourse analysis, social problems studies, philosophy, action research, science and technology studies, politics, and public policy.

The book sets out to inform a broad range of professionals working in medicine and healthcare about how creative thinking and design concepts can be used to innovate in providing an enhanced patient experience. It outlines these concepts as a primary means to identify, clarify and resolve some of the process improvement and enhancement challenges in healthcare delivery. It demonstrates by example how such challenges can be addressed, drawing on case examples from healthcare and other industries, and from the authors’ own experiences as innovators and educators. It emphasizes the value of learning in action. For the reader who already has a leaning towards novel approaches to addressing healthcare delivery challenges, it provides guidance on harnessing team inputs and engaging with a network of contributors. It is an ideal resource for all working in medicine and healthcare, from managers, nurses, doctors, administrators, executives, and allied health professionals to medical engineers, medical physicists, medical scientists and medical product developers. Features Provides a unique framework to conceptualise innovation in healthcare and medicine. Authored by an award-winning medical scientist and an established business school Professor who have proven track-records with innovation, in education settings and as entrepreneurs. Presents a clear interdisciplinary approach, complemented with practical case studies set in the context of the challenges facing healthcare delivery in the 21st century. Dr. Barry McMahon has a national and international reputation as an Academic Medical Physicist in the fields of novel physiological measurement and medical device innovation and design. He is the co- inventor of the Functional Lumen Imaging Probe (FLIP) technique later commercialised as EndoFLIP™. He was the Director of the Innovation Academy at Trinity College Dublin from 2012 to 2017. Since 2020 he is advising Children’s Health Ireland on innovation practice. In 2021, he retired as Chief Physicist/Clinical Engineer at Tallaght Hospital, Ireland and currently runs his own innovation-consulting group Electric Mindset Ltd. Dr. Paul Coughlan is Professor in Operations Management and Co-Director of Faculty at Trinity Business School, Trinity College Dublin. His research explores collaborative strategic improvement of operations through network action learning. He was the Director of the Innovation Academy at Trinity College Dublin from 2010 to 2012. He is a founding director of a research-based spin-out venture, Easy Hydro Ltd.

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Besides, the electromagnetic parameters of complex medium such as the permittivity and conductivity are retrieved by a cascaded framework in Chapter 4. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 5. Finally, in Chapter 6, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

The human hand and its dexterity in grasping and manipulating objects are some of the hallmarks of the human species. For years, anatomic and biomechanical studies have deepened the understanding of the human hand's functioning and, in parallel, the robotics community has been working on the design of robotic hands capable of manipulating objects with a performance similar to that of the human hand. However, although many researchers have partially studied various aspects, to date there has been no comprehensive characterization of the human hand's function for grasping and manipulation of everyday life objects. This monograph explores the hypothesis that the confluence of both scientific fields, the biomechanical study of the human hand and the analysis of robotic manipulation of objects, would greatly benefit and advance both disciplines through simulation. Therefore, in this book, the current knowledge of robotics and biomechanics guides the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation. As a result, a valuable framework for the study of the grasp, with relevant applications in several fields such as robotics, biomechanics, ergonomics, rehabilitation and medicine, has been made available to these communities.

Features Introduces the physics of accelerators, lasers, and plasma in tandem with the industrial methodology of inventiveness. Outlines a path from idea to practical implementation of scientific and technological innovation. Contains more than 380 illustrations and numerous end-of-chapter exercises.

Key features: Organised and centred around analysis techniques, not traditional Mechanics and E&M. Presents a unified approach, in a different order, meaning that the same laboratories, equipment, and demonstrations can be used when teaching the course. Demonstrates to students that the analysis and concepts they are learning are critical to the understanding of biological systems.

Die Behandlung der Leguminosen in der Chemotaxonomie der Pflanzen wird mit Band XIb-1 fortgesetzt. In ihm werden die von den Caesalpinioideae und Mimosoideae bekannt gewordenen Naturstoffe im Rahmen der natA1/4rlichen Klassifikation der Familie besprochen. Der Teilband enthAlt A1/4ber 2000 Literaturhinweise sowie ein eigenes Pflanzennamen- und Stichwortregister. Hegnauer's Chemotaxonomie is an indispensable handbook for all those scientific disciplines concerned with not only systematic botany, but all aspects of the plant world. Both text and bibliography reflect our present knowledge of the particularities of plant metabolism. The last volume of Chemotaxonomy of Plants treats Leguminosae in three parts. XIa.: General aspects. XIB-1: Phytochemistry and chemotaxonomy of Caesalpinioideae and Mimosoideae. XIb-2: Phytochemistry and chemotaxonomy of Papilionoideae (in preparation). These three volumes form a valuable tool for everyone with an interest in the Leguminosae. They are not only relevant to plant taxonomists, plant physiologists, and natural product chemists but also to ecologists, agriculturists, nutritional scientists, pharmacists, pharmacologists and ethnobotanists. The cosmopolitan Leguminosae cover approximately 600 genera and 13000 species including many economically and ethnobotanically important plants. Each of the three volumes devoted to Leguminosae contains a taxonomic index, a subject index and over 2000 references.

This third edition provides 2900 multiple choice questions on human anatomy and physiology, and some biophysical science, separated into 20 chapters and 68 categories. In addition, there are 64 essay topics. The answer to each question is accompanied by an explanation. Each chapter has an introduction to set the scene for the questions to come. However, not all possible information is provided within these Introductions, so an Anatomy and Physiology textbook is an indispensable aid to understanding the answers. The textbook offers a more holistic approach to the subjects of anatomy and physiology by also including biomechanics, biophysics and biochemistry. The questions have been used in end-of-semester examinations for undergraduate anatomy and physiology courses, and as such, reflect the focus of these particular courses and are pitched at this level to challenge students that are beginning their training in anatomy and physiology. The question and answer combinations are intended for use by teachers, to select questions for their next examinations, and by students, when studying for an upcoming test. Students enrolled in the courses for which these questions were written include nursing, midwifery, paramedic, physiotherapy, occupational therapy, nutrition and dietetics, health sciences, exercise science, and students taking an anatomy and physiology course as an elective.

This book provides an introduction to the significant role of physics in evolution, based on the ideas of matter and energy resource flow, organism self-copying, and ecological change. The text employs these ideas to create quantitative models for important evolutionary processes. Many fields of science and engineering have come up against the problem of complex design-when details become so numerous that computer power alone cannot make progress. Nature solved the complex-design problem using evolution, yet how it did so has been a mystery. Both laboratory experiments and computer-simulation attempts eventually stopped evolving. Something more than Darwin's ideas of heredity, variation, and selection was needed. The solution is that there is a fourth element to evolution: ecological change. When a new variation is selected, this can change the ecology, and the new ecology can create new opportunities for even more new variations to be selected. Through this endless cycle, complexity can grow automatically. This book uses the physics of resource flow to describe this process in detail, developing quantitative models for many evolutionary processes, including selection, multicellularity, coevolution, sexual reproduction, and the Serengeti Rules. The text demonstrates that these models are in conceptual agreement with numerous examples of biological phenomena, and reveals, through physics, how complex design can arise naturally. This will serve as a key text on the part physics plays in evolution, and will be of great interest to students at the university level and above studying biophysics, physics, systems biology, and related fields.

Includes science and technology of processing solid minerals to concentrates of grades, suitable for industrial extraction of metal values and other non-metallic products Provides a logical progression from basic to advanced concepts in mineral processing Designed to stimulate students to think as mineral processing engineers in training Explores sustainable mineral processing and circular economy in mineral processing Contains worked examples that clearly illustrates the various theories presented and help readers develop problem solving skills in mineral processing

Over the past years, the chem(o)informatics field has further evolved and new application areas have opened up, for example, in the broadly defined area of chemical biology. In Chemoinformatics and Computational Chemical Biology, leading investigators bring together a detailed series of reviews and methods including, among others, system-directed approaches using small molecules, the design of target-focused compound libraries, the study of molecular selectivity, and the systematic analysis of target-ligand interactions. Furthermore, the book delves into similarity methods, machine learning, probabilistic approaches, fragment-based methods, as well as topics that go beyond the current chemoinformatics spectrum, such as knowledge-based modeling of G protein-coupled receptor structures and computational design of siRNA libraries. As a volume in the highly successful Methods in Molecular Biology (TM) series, this collection provides detailed descriptions and implementation advice that are exceedingly relevant for basic researchers and practitioners in this highly interdisciplinary research and development area. Cutting-edge and unambiguous, Chemoinformatics and Computational Chemical Biology serves as an ideal guide for experts and newcomers alike to this vital and dynamic field of study.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the problems they encounter. The BASS book series is initially divided into three volumes addressing: 1) Design of Clinical Trials; 2) Biostatistical Analysis of Clinical Trials; and 3) Pharmaceutical Applications. This book is the third of the 3-volume book series. The topics covered include: Targeted Learning of Optimal Individualized Treatment Rules under Cost Constraints, Uses of Mixture Normal Distribution in Genomics and Otherwise, Personalized Medicine - Design Considerations, Adaptive Biomarker Subpopulation and Tumor Type Selection in Phase III Oncology Trials, High Dimensional Data in Genomics; Synergy or Additivity - The Importance of Defining the Primary Endpoint, Full Bayesian Adaptive Dose Finding Using Toxicity Probability Interval (TPI), Alpha-recycling for the Analyses of Primary and Secondary Endpoints of Clinical Trials, Expanded Interpretations of Results of Carcinogenicity Studies of Pharmaceuticals, Randomized Clinical Trials for Orphan Drug Development, Mediation Modeling in Randomized Trials with Non-normal Outcome Variables, Statistical Considerations in Using Images in Clinical Trials, Interesting Applications over 30 Years of Consulting, Uncovering Fraud, Misconduct and Other Data Quality Issues in Clinical Trials, Development and Evaluation of High Dimensional Prognostic Models, and Design and Analysis of Biosimilar Studies.