ss-barrel outer membrane channel proteins (OMP) are useful as robust and flexible models or components in nanotechnology. Over the last decade biotechnological techniques allowed to expand the natural characteristics of OMPs by modifying their geometry and properties. The present book is oriented towards a broad group of readers including graduate students and advanced researchers. It gives a general introduction to the field of OMP based nano-component development as well as the state of the art of the involved research. On the example of the E. coli FhuA the transformation of an OMP into a tailored nano-channel will be outlined. An exhaustive description of the scientific strategy, including protein selection, analytical methods and "in-silico" tools to support the planning of protein modifications for a targeted application, consideration on the production of a custom made OMP, and an overview on technological applications including membrane/polymersome technology, will be provided.

This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network. The authors also examine crucial open research problems in this arena. Academics, researchers, and advanced-level students will find this book to be a comprehensive and exceptional resource for understanding computational techniques and their applications for a summary of biological networks.

The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.

This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure that automatically chooses a parameter setting for the input, and has two main ingredients: (a) the set of parameter choices considered by the advisor, and (b) an estimator of alignment accuracy used to rank alignments produced by the aligner. On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting. The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content * examines formulations of parameter advising and their computational complexity, * develops methods for learning good accuracy estimators, * presents approximation algorithms for finding good sets of parameter choices, and * assesses software implementations of advising that perform well on real biological data. Also explored are applications of parameter advising to * adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and * ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble. The book concludes by offering future directions in advising research.

Microbiome and the Eye: What's the connection? highlights how alterations in the gut and eye microbiomes can lead to systemic immune alterations with subsequent effects on the eye. The book is divided into two sections, one highlighting how alterations in the gut microbiome impact various components of health outside the gut, with a focus on the immune system and inflammatory mediators, and the second focusing on studies on a variety of ocular diseases, including ocular surface diseases/dry eye, keratitis, uveitis, glaucoma, and retinopathy to gut dysbiosis. With its translational approach, the book is suitable for both researchers and clinicians. The book will help readers understand the mechanisms in which gut and eye microbiome composition may influence health in multiple compartments, with a focus on eye diseases.

The authors explain at length the principles of chemical kinetics and approaches to computerized calculations in modern software suites - mathcad and maple. Mathematics is crucial in determining correlations in chemical processes and requires various numerical approaches. Often significant issues with mathematical formalizations of chemical problems arise and many kinetic problems cant be solved without computers. Numerous problems encountered in solving kinetics calculations with detailed descriptions of the numerical tools are given. Special attention is given to electrochemical reactions, which fills a gap in existing texts not covering this topic in detail. The material demonstrates how these suites provide quick and precise behavior predictions for a system over time (for postulated mechanisms).Examples, i.e., oscillating and non-isothermal reactions, help explain the use of mathcad more efficiently. Also included are the results of authors' own research toward effective computations.

This third volume in the series Tumor Dormancy, Quiescence, and Senescence discusses the role of tumor dormancy and senescence in a number of diseases, including breast cancer, ovarian cancer and leukemia. The contents are organized under five subheadings: General Applications, Role in Breast Cancer, Role in Ovarian Cancer, Role in Leukemia and Role in Cardiovascular Disease. The first section includes basic information on the definition of dormancy, how cells become senescent and what they do, along with an appraisal of the current state of research on dormancy. Section Two explores dormancy in breast cancer, including the progression of hormone-dependent mammary tumors after dormancy. Section Three details the resistance of Type II ovarian tumors, in which the resistant tumor cell population persists after chemotherapy in a state of dormancy, with recurrent tumors arising upon transformation of such dormant cells back to malignant growth. This section explains how lineage, histological subtypes and grade influence the differential response of ovarian cancer resistance to platinum drugs. The fourth section explores leukemia, discussing regulation of the promyelocytic leukemia protein and its role in premature senescence. The final section explores the role of senescence and autophagy in age-related cardiovascular diseases and the observation that autophagy seems to retard cardiac senescence. Like the two preceding volumes in the series, Volume 3 stands out for its comprehensive approach, its roster of some 26 expert contributors representing seven different countries and its up-to-date review of leading-edge technology and methods.

Hemostasis Management of the Pediatric Surgical Patient provides knowledge on the emerging area of pediatric hemostasis and its management. It discusses aspects of perioperative blood management in the pediatric population, including how to accurately estimate and monitor bleeding and determine optimal treatment regimens for bleeding in pediatric surgical patients. It also provides information on the implementation of intraoperative blood conservation strategies, goal-directed transfusion therapy, and postoperative estimation of bleeding and thrombotic risks. This book is a valuable resource to pediatric practitioners and researchers who need comprehensive information on pediatric hematology, from basic physiology to pre-, intra- and postoperative care of pediatric patients. The coagulation system of children evolves with age as evidenced by marked physiological differences in the concentration of hemostatic proteins between children of different age groups and adults. Consequently, there are distinct differences in hemostatic management between adult and pediatric patients.

Since its commercial introduction in 2004, UHPLC (Ultra-High Performance Liquid Chromatography) has begun to replace conventional HPLC in academia and industry and interest in this technique continues to grow. Both the increases in speed and resolution make this an attractive method; particularly to the life sciences and more than 1500 papers have been written on this strongly-evolving topic to date. This book provides a solid background on how to work with UHPLC and its application to the life sciences. The first part of the book covers the basics of this approach and the specifics of a UHPLC system, providing the reader with a solid background to working properly with such a system. The second part examines the application of UHPLC to the life sciences, with a focus on drug analysis strategies. UHPLC-MS, a key technique in pharmaceutical and toxicological analyses, is also examined in detail. The editors (Davy Guillarme and Jean-Luc Veuthey) were some of the earliest adopters of UHPLC and have published and lectured extensively on this topic. Between them they have brought together an excellent team of contributors from Europe and the United States, presenting a wealth of expertise and knowledge. This book is an essential handbook for anyone wishing to adopt an UHPLC system in either an academic or industrial setting and will benefit postgraduate students and experienced workers alike.

2. The Translational Machinery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Translation Initiation in Prokaryotes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Translation Initiation in Eukaryotes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 14 Translation Elongation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Translation Termination in Prokaryotes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Translation Termination in Eukaryotes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Error Correction in Translation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 A Structural Basis of Error Correction in Translation . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Ribosome Editing: A Failsafe Error Correction Mechanism . . . . . . . . . . . . . . . . 22 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 3. Errors During Elongation Can Cause Translational 29 Frameshifting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Spontaneous Frameshifting Versus Programmed Frameshifting . . . . . . . . . . 30 Spontaneous Frameshifts Can Be Induced at Specific Codons . . . . . . . . . . . . 31 4. Programmed +1 Frameshifting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 The pifE Gene of E. coli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 Using the pifE System to Study General Frameshifting in E. coli . . . . . . . . 46 Ty Retrotransposons in Yeast . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Frameshifting in Retrotransposon Ty1 Occurs by tRNA Slippage . . . . . . . 48 Frameshifting in Retrotransposon Ty3 Occurs by Out-of-Frame Binding of tRNA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 The Rat Ornithine Decarboxylase Antizyme Gene . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 5. Programmed -1 Frameshifting in Eukaryotes . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 Programmed -1 Frameshifting in Eukaryotes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 -1 Frameshifting Occurs on a "Slippery Heptamer" . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 The Simultaneous-Slippage Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 of -1 Frameshifting by a Downstream Pseudoknot . . . . . . . . . . 77 Stimulation Does the Pseudoknot Only Block Passage of the Ribosome? . . . . . . . . . .

This text provides an overview of important theory, principles, and concepts in the field of thermodynamics, making this abstract and complex subject easy to comprehend while building practical skills in the process. It enhances understanding of heat transfer, steam tables, energy concepts, power generation, psychrometry, refrigeration cycles, and more. Practical, easily accessible case studies illustrate various thermodynamics principles. Each chapter concludes with a list of questions or problems, with answers at the back of the book.

Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli. Although more and more efforts are being directed toward examining systems biology in complex multi-cellular organisms, the bulk of system-level analyses conducted to date have focused on the biology of microbes. In, Microbial Systems Biology: Methods and Protocols expert researchers in the field describe the utility and attributes of different tools (both experimental and computational) that are used for studying microbial systems. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Microbial Systems Biology: Methods and Protocols introduces and aids scientists in using the various tools that are currently available for analysis, modification and utilization of microbial organisms.

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

Describes landmark experiments in cell biology and biochemistry Discusses the "How" and "Why" of historically important experiments Includes primary, original data and graphs Emphasizes biological techniques, which helps understand how many of the experiments performed were possible. Documents, chronologically, how each result fed into the next experiments.

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.

The NATO Advanced Research Workshop (ARW) on "Regulation of Enzymatic Systems Detoxifying Xenobiotics in Plants" intended to provide a forum to scientists from academia, industry, and govemment for discussing and critically assessing recent advances in the field of xenobiotic metabolism in plants and for identifying new directions for future research. Plants function in a chemical environment made up of nutrients and xenobiotics. Xenobiotics (foreign chemicals) are natural or synthetic compounds that can not be utilized by plants for energy-yielding metabolism. Plants may be exposed to xenobiotics either deliberately, due to their use as pesticides or accidentally, from industrial, agricultural, and other uses. Plants, like most other organisms, evolved a remarkable battery or metabolic reactions to defend themselves against the potentially toxic effects of xenobiotics. The main enzymatic reactions utilized by plants for xenobiotic detoxification include oxidation, reduction, hydrolysis and conjugation with glutathione, sugars (e.g., glucose), and amino acids. Eventually, xenobiotic conjugates are converted to insoluble bound residues or to secondary conjugates, which are deposited in the vacuole of plant cells.

The book is an indispensable companion to all students of biology, but particularly those enrolled in courses concerning experimental design, data analysis, hypothesis testing, research methods, or any practical project work.

During the last 40 years, the study of the biological basis of aging has progressed tremendously, and it has now become an independent and respectable field of study and research. The essential cause of aging is molecular damage that slowly overwhelms cellular and organismic defense, repair and maintenance systems. In recent years, a wealth of highly sophisticated research has transformed this idea from a credible hypothesis not only to a major theory, but essentially to accepted knowledge. Aging at the Molecular Level examines the key elements in this transformation.
Bringing together contributions from an international team of authors, this volume will be of interest to graduates and postgraduates in the fields of medicine and nursing, researchers of different aspects of biogerontology and those in the pharmaceutical, cosmeceutical, nutraceutical and health-care industry.

Edited by a leading expert and with contributions from pioneers, the three-volume Handbook of Nanostructured Thin Films and Coatings is a resource as dynamic and flexible as the field itself. The first two volumes cover the latest research and application of the mechanical and functional properties of thin films and coatings, while the third volume explores the cutting-edge organic nanostructured devices used to produce clean energy.

The first volume, Nanostructured Thin Films and Coatings: Mechanical Properties, covers the mechanical properties (i.e., hardness, toughness, and adhesion), including processing, properties, and performance. It also offers a detailed analysis of theories and size effect, in addition to other key topics. Volume Two, Nanostructured Thin Films and Coatings: Functional Properties, focuses on functional properties (i.e., optical, electronic, and electrical) and related devices and applications. The third volume, Organic Nanostructured Thin Film Devices and Coatings for Clean Energy, addresses various aspects of the processing and properties of organic thin films, devices, and coatings for clean energy applications.

A complete resource, this handbook provides detailed explanations for newcomers and the latest research and data for experts. Covering a wide range of mechanical and functional technologies, including those used in clean energy, these books feature figures, tables, and images that aid researchers and help professionals acquire and maintain a solid grasp of this burgeoning field.

Now and in the future, the ever-growing demand for drinking water will lead many cities to implement indirect water reuse programs, where wastewater effluent becomes part of the drinking water sources. Pollution of those sources with emerging contaminants (micropollutants) such as endocrine disrupting compounds, pharmaceutically active compounds, pesticides and personal care products is a fact known worldwide. In this thesis, nanofiltration (NF) and reverse osmosis (RO) are demonstrated to be appropriate technologies for removing a large number of micropollutants; however, the performance of NF and RO can be questioned because there are limited tools that optimise quantification of the removal of contaminants. Therefore, in this thesis, by means of the use of multivariate data analysis techniques, removal quantification is effectively determined and more understanding of the separation of micropollutants by membranes is achieved.

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.

Life in Space explores the many aspects and outcomes of NASA's research in life sciences, a little-understood endeavor that has often been overlooked in histories of the space agency. Maura Mackowski details NASA's work in this field from spectacular promises made during the Reagan era to the major new directions set by George W. Bush's Vision for Space Exploration in the early twenty-first century. At the first flight of NASA's space shuttle in 1981, hopes ran high for the shuttle program to achieve its potential of regularly transporting humans, cargo, and scientific experiments between Earth and the International Space Station. Mackowski describes different programs, projects, and policies initiated across NASA centers and headquarters in the following decades to advance research into human safety and habitation, plant and animal biology, and commercial biomaterials. Mackowski illuminates these ventures in fascinating detail by drawing on rare archival sources, oral histories, interviews, and site visits. While highlighting significant achievements and innovations such as space radiation research and the Neurolab Spacelab Mission, Mackowski reveals frustrations-lost opportunities, stagnation, and dead ends-stemming from frequent changes in presidential administrations and policies. For today's dreams of lunar outposts or long-term spaceflight to become reality, Mackowski argues, a robust program in space life sciences is essential, and the history in this book offers lessons to help prevent leaving more expectations unfulfilled.

Presenting an area of research that intersects with and integrates diverse disciplines, including molecular biology, applied informatics, and statistics, among others, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study. Divided into three convenient sections, this detailed volume covers central analysis strategies, standardization and data-management guidelines, and fundamental statistics for analyzing Omics profiles, followed by a section on bioinformatics approaches for specific Omics tracks, spanning genome, transcriptome, proteome, and metabolome levels, as well as an assortment of examples of integrated Omics bioinformatics applications, complemented by case studies on biomarker and target identification in the context of human disease. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Bioinformatics for Omics Data: Methods and Protocols serves as an ideal guide to scientists of all backgrounds and aims to convey the appropriate sense of fascination associated with this research field.