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  • 1
    Keywords: Paleoecology. ; Paleontology . ; Bioinformatics. ; Archaeology. ; Earth sciences. ; Paleoecology. ; Paleontology. ; Computational and Systems Biology. ; Archaeology. ; Earth Sciences.
    Description / Table of Contents: Chapter 1-Introduction -- Chapter 2-Historical perspective -- Chapter 3-Geology and stratigraphy -- Chapter 4-Indian late cretaceous dinosaur nesting sites -- Chapter 5-Discussion. Chapter -- 6-Summary and conclusions.
    Abstract: This book documents analyses of the Late Cretaceous dinosaur nesting sites of the Lameta Formation at Jabalpur, Districts Dhar and Jhabua, Madhya Pradesh; Districts Kheda and Panchmahal (Gujarat); and the Pisdura, Dongargaon and Pavna sectors in the Chandrapur Districts of Maharashtra, which are exposed in India along an east-west and central axis. In this work, special emphasis has been given to the dinosaur nesting sites of the east-central Narbada River region, including its regional geology. The work was undertaken to provide detailed information concerning dinosaur eggs, eggshell fragments, nests and clutches found in the Lameta Formation of peninsular India. Prior to the present work there had been no detailed review of systematic work on the taxonomy, and of micro- and ultrastructural studies of dinosaur eggs and eggshells from the Lameta Formation. The study documents the field and laboratory investigations that facilitated the reconstruction of the morphotaxonomy, models for the burial pattern of eggs and eggshells, taphonomic implications,and the palaeoenvironmental context and palaeoecological conditions during the Late Cretaceous at the time of the extrusion of the Deccan traps, which may have been partly responsible for the extinction of the dinosaurs. The need to follow a parataxonomic classification for Indian dinosaur eggs and eggshell types is very apparent, and this book addresses this aspect in some detail. The emphasis on the application of parataxonomic schemes is based on the description of new oospecies and their comparison with previously known forms. The present work has led to the recovery of numerous nests, many collapsed eggs and hundreds of dinosaur eggshell fragments from the localities situated near the east, west and central Narbada River regions. It will be of interest to academics and professional palaeontologists, and all students of dinosaurs.
    Type of Medium: Online Resource
    Pages: XX, 280 p. 92 illus., 50 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030564544
    Series Statement: Topics in Geobiology ; 51
    DDC: 560.45
    Language: English
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Cytology. ; Bioinformatics. ; Imaging systems in biology. ; Cell Biology. ; Computational and Systems Biology. ; Biological Imaging.
    Description / Table of Contents: Introduction -- Batch Processing Methods in ImageJ -- Python: Data Handling, Analysis and Plotting -- Building a Bioimage Analysis Workflow Using Deep Learning -- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ -- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut -- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster -- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.
    Abstract: This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS – the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images.
    Type of Medium: Online Resource
    Pages: X, 212 p. 265 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030763947
    Series Statement: Learning Materials in Biosciences,
    DDC: 571.6
    Language: English
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Biomedical engineering. ; Radiology. ; Bioinformatics. ; Biotechnology. ; Biomedical Engineering and Bioengineering. ; Radiology. ; Computational and Systems Biology.
    Description / Table of Contents: Deep Learning in Medical Image Analysis -- Medical Image Synthesis via Deep Learning -- Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation -- Deep Learning Computer Aided Diagnosis for Breast Lesion in Digital Mammogram -- Decision support system for lung cancer using PET/CT and microscopic images -- Lesion Image Synthesis using DCGANs for Metastatic Liver Cancer Detection -- Retinopathy analysis based on deep convolution neural network -- Diagnosis of Glaucoma on retinal fundus images using deep learning: detection of nerve fiber layer defect and optic disc analysis -- Automatic segmentation of multiple organs on 3D CT images by using deep learning approaches -- Techniques and Applications in Skin OCT Analysis -- Deep Learning Technique for Musculoskeletal Analysis -- Index.
    Abstract: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
    Type of Medium: Online Resource
    Pages: VIII, 181 p. 131 illus., 114 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030331283
    Series Statement: Advances in Experimental Medicine and Biology, 1213
    DDC: 660.6
    Language: English
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  • 4
    Keywords: Biotechnology. ; Bioinformatics. ; Medical genetics. ; Biotechnology. ; Computational and Systems Biology. ; Medical Genetics.
    Description / Table of Contents: Chapter 1: Global Alignment of PPI Networks -- Chapter 2: Integrated Network-Based Computational Analysis for Drug Development -- Chapter 3: Effective Random Walk Models for Comparative Network Analysis -- Chapter 4: Computational Methods for Protein-Protein Interaction Network Alignment -- Chapter 5: Network Propagation for the Analysis of Multi_Omics Data -- Chapter 6: Motifs in Biological Networks -- Chapter 7: Bio Fabric Visualization of Network Alignments -- Chapter 8: Module Identification of Biological Networks via Graph Partition -- Chapter 9: Network Module Detection to Decipher the Heterogeneity of Cancer Mutations.
    Abstract: This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights. .
    Type of Medium: Online Resource
    Pages: XII, 217 p. 42 illus., 29 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030571733
    DDC: 660.6
    Language: English
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  • 5
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Cytology. ; Regenerative medicine. ; Medicine Research. ; Biology Research. ; Bioinformatics. ; Cell Biology. ; Regenerative Medicine and Tissue Engineering. ; Biomedical Research. ; Bioinformatics.
    Description / Table of Contents: Brain Tissue Oxygen and BOLD fMRI Under Different Levels Of Neuronal Activity -- Cerebral Microcirculation and Oxygenation Modulation by Transcranial Alternating Current Stimulation in Awake and Anesthetized Mice -- The Effect of Hypercapnia on Cortical Metabolic Rate and Mitochondrial Redox Status -- Relationship Between Left-Right Dominancy of Prefrontal Cortex Activity and Heart Rate During Rest and Task Periods: An fNIRS Study -- Relationship Between Cognitive Function, Oral Conditions and Systemic Metabolic Function in the Elderly -- Pro-survival Phenotype of HIF-1α: Neuroprotection through Inflammatory Mechanisms -- Infradian Rhythms in Cerebrovascular Oxygenation and Blood Volume in Humans at Rest: A 5-year Study -- Mechanisms of Photostimulation of Brain’s Waste Disposal System: the Role of Singlet Oxygen -- Changes of Arterial and Venous Cerebral Blood Flow Correlation in Moderate-to-Severe Traumatic Brain Injury: A CT Perfusion Study -- Cerebral Net Water Uptake in Posttraumatic Cerebral Ischemia -- Brainstem Damage Underlies Changes in Hypoxic Ventilatory Response following Cardiac Arrest and Resuscitation in Rats -- Differences Between Good, Moderate and Poor Performers of a Verbal Fluency Task under Blue Light Exposure: An SPA-fNIRS Study -- Sex-specific and Dose-dependent Effects of Drag-Reducing Polymers on Microcirculation and Tissue Oxygenation in Rats after Traumatic Brain Injury -- Accuracy of Tissue Oxygen Saturation Measurements of a Textile-based NIRS Sensor -- Understanding the Role of Caveolae in Oxygen Buffering: The Effect of Membrane Curvature -- The Significance of Lipids for the Absorption and Release of Oxygen in Biological Organisms -- How Skin Color Depends on Tissue Oxygenation -- Tissue Concentration Analysis of Sulfur, Calcium and Oxygen in novel Skin Primo Nodes After Acupuncture -- Primo Vessels Inside Lymphatic Vessels are Absent in an ALS Mouse Model -- The Impact of Heterogeneous Cell Density in Hypoxic Tumors Treated with Radiotherapy -- A Critical Analysis of Possible Mechanisms for the Oxygen Effect in Radiation Therapy with FLASH -- Hyperhydration of Cancers: A Characteristic Biophysical Trait Strongly Increasing O2, CO2, Glucose and Lactate Diffusivities, and Improving Thermophysical Properties of Solid Malignancies -- No Difference in Muscle Basal Oxygenation in a Bedridden Population pre and Post Rehabilitation -- Relationship between Muscle Deoxygenation and Cardiac Output in Subjects without Attenuation of Deoxygenation Hemoglobin Concentration near the end of Ramp Cycling Exercise: A Longitudinal Study -- Image Reconstruction Using Deep Learning for Near-Infrared Optical Tomography: Generalization Assessment -- Neonatal Brain Temperature Monitoring Based on Broadband Near-Infrared Spectroscopy -- Time Domain Near-Infrared Optical Tomography Utilizing Full Temporal Data: A Simulation Study -- BIAN: A Multilayer Microfluidic-Based Tissue-Mimicking Phantom for Near-Infrared Imaging -- Do Vascular and Extracellular Measurements Consistently Reflect Intracellular pO2? Observation of Tissue Oxygenation Changes using Remote Photoplesysmography with a Smartphone -- Neurovascular, Metabolic, and Glymphatic Dynamics of the Brain Measured with fNIRS -- Imaging Cerebral Blood Vessels Using Near-Infrared Optical Tomography: A Simulation Study -- Reduced Cerebrovascular Oxygenation in Individuals with Post-Acute COVID-19 Syndrome (PACS) (“Long COVID”) -- Insufficient Oxygen Supplementation During Cardiopulmonary Resuscitation Leads to Unfavorable Biological Response While Hyperoxygenation Contributes to Metabolic Compensation -- Block of the Angiotensin Pathways Affects Flow-Volume Spirometry in Patients With SARS-CoV-2 Infection -- A Prospective Observational Pilot Study on the Effects of the Activity-based Stress Release Program on the Mental State and Autonomic Nervous System in Psychiatric patients. .
    Abstract: This book presents cutting-edge papers and perspectives on the transport of oxygen to tissues by scientists in a multitude of disciplines such as biochemistry, engineering, mathematics, medicine, physics, physiology, veterinary and complementary medicine. The book is composed of the following 6 parts: Brain Oxygenation and Function, Tumor Oxygenation and Metabolism, Muscle Oxygenation and Sports Medicine, Cell Metabolism and Tissue Oxygenation, Methodology of O2 Measurements, and Special Topics. The articles in this book have been presented at the 49th annual meeting of the International Society on Oxygen Transport to Tissue (ISOTT 2022). Academics, clinical and industry researchers, engineers, as well as graduate students who are interested in oxygen transport to tissue will find this book a great reference and a useful learning resource.
    Type of Medium: Online Resource
    Pages: XIX, 240 p. 91 illus., 71 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031420030
    Series Statement: Advances in Experimental Medicine and Biology, 1438
    DDC: 571.6
    Language: English
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  • 6
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Cytology. ; Bioinformatics. ; Biology Technique. ; Biotechnology. ; Cell Biology. ; Computational and Systems Biology. ; Biological Techniques.
    Description / Table of Contents: Workflows and Components of Bioimage Analysis -- Measurements of Intensity Dynamics at the Periphery of the Nucleus -- 3D Quantitative Colocalisation Analysis -- The NEMO Dots Assembly: Single-Particle Tracking and Analysis -- Introduction to MATLAB: Image Analysis & Brownian Motion -- Resolving the process of Clathrin Mediated Endocytosis Using Correlative Light & Electron Microscopy (CLEM).
    Abstract: This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
    Type of Medium: Online Resource
    Pages: X, 170 p. 69 illus., 58 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030223861
    Series Statement: Learning Materials in Biosciences,
    DDC: 660.6
    Language: English
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  • 7
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Cytology. ; Regenerative medicine. ; Medicine Research. ; Biology Research. ; Bioinformatics. ; Cell Biology. ; Regenerative Medicine and Tissue Engineering. ; Biomedical Research. ; Bioinformatics.
    Description / Table of Contents: Involvement of Endothelial Nitric Oxide Synthase in Cerebral Microcirculation and Oxygenation in Traumatic Brain Injury -- Imaging cerebral energy metabolism in healthy infants -- Changes in cerebral oxygenation and systemic physiology during a verbal fluency task: Differences between men and women -- Brain Tissue Conductivity in Focal Cerebral Ischemia -- Physical stress Attenuates Cognitive inhibition: An fNIRS Examination -- Changes in Prefrontal Cortical Oxygenation During Tilt Table Orthostatic Hypotension in Subarachnoid Haemorrhage Patients -- Effects of different optical properties of head tissues on near-infrared spectroscopy Using Monte Carlo Simulations -- Frontal cerebral oxygenation in humans at rest: A mirror symmetry in the correlation with cardiorespiratory activity -- Photomodulation of lymphatic delivery of bevacizumab to the brain: the role of singlet oxygen -- NIRS-based study of local cerebral oxygenation during transcranial direct current stimulation in patients with mild traumatic brain injury -- Postnatal Exposure to Brief Hypoxia Alters Brain VEGF Expression and Capillary Density in Adult Mice -- Impaired Cognitive Performance in Mice Exposed to Prolonged Hyperoxia -- Chronic Ketosis Modulates HIF1α-Mediated Inflammatory Response in Rat Brain -- Motor Imagery and Frontal Head Oxygenation: An fNIRS Study -- Non-invasive detection of persistent cortical hypoxia in Multiple Sclerosis using frequency domain near-infrared spectroscopy (fdNIRS) -- Evaluation of intraoperative end-tidal Carbon dioxide change relates to length hospitalization in peridiaphragmatic surgery: a pilot study -- Pulmonary Embolism in COVID-19 patients is not related to a worsening in tissue oxygenation -- Cardiovascular risk score and gas exchange in COVID-19 patients: no correlation -- Heme Oxygenase 1/ High Mobility Group Box 1 pathway may have a possible role in Covid-19 ARDS (Acute respiratory distress syndrome): a pilot histological study -- Silent Hypoxemia in COVID-19 pneumonia -- Low Flow and Microvascular Shunts: A Final Common Pathway to Cerebrovascular Disease: A Working Hypothesis -- A case of intracranial vertebral artery stenosis treated with percutaneous transluminal angioplasty and stenting guided by brain oximetry -- Assessment of Optimal Arterial Pressure with Near-Infrared Spectroscopy in Traumatic Brain Injury Patients -- Effects of exercise-diet therapy on cognitive function in healthy elderly people evaluated by deep learning based on basic blood test data -- NIRS studies show reduced interhemispheric functional connectivity in individuals with Multiple Sclerosis that exhibit cortical hypoxia -- Eye Tracking Parameters Correlate With the Level of Cerebral Oxygen Saturation in Mild Traumatic Brain Injury: A Preliminary Study -- Critical closing pressure of cerebral circulation at concomitant moderate-to-severe traumatic brain injury -- Hybrid convolutional neural network (hCNN) for image reconstruction in near-infrared optical tomography -- Cross-frequency coupling between brain and body biosignals: A systemic physiology augmented functional near-infrared spectroscopy hyperscanning study -- Machine learning distinguishes familiar from unfamiliar pairs of subjects performing an eye contact task: A systemic physiology augmented functional near-infrared spectroscopy hyperscanning study -- Assessing Neurovascular Coupling Using Wavelet Coherence in Neonates With Asphyxia -- Basic examination of hemoglobin phase of oxygenation and deoxygenation in resting state and task periods in adults using fNIRS -- Development and validation of robust and cost-effective liquid heterogeneous phantom for time domain near-infrared optical tomography -- Effect of Exercise Therapy on Stress Response Evaluated by IoMT Monitoring System -- Improved optical tissue model for tissue oximetry imaging applications -- In vitro validation of a new tissue oximeter using visible light -- Photon and Proton Dose Painting based on Oxygen Distribution – Feasibility Study and Tumour Control Probability Assessment -- Effect of Acidosis-Induced Signalling Pathways on Mitochondrial O2 Consumption of Tumour Cells -- Feasibility of non-invasive measurement of tumor NAD(H) by in vivo phosphorus-31 magnetic resonance spectroscopy -- Acidosis-induced regulation of Egr1 and Ccn1 in vitro and in experimental tumors in vivo -- Perfusion-Limited Hypoxia Determines the Outcome of Radiation Therapy of Hypoxic Tumours -- Improved Oxygenation of Human Skin, Subcutis and Superficial Cancers upon Mild Hyperthermia Delivered by wIRA-Irradiation -- Blood Supply and Oxygenation Status of the Liver: From Physiology to Malignancy -- Optical Redox Imaging Is Responsive to TGFβ Receptor Signaling in Triple-Negative Breast Cancer Cells -- Evaluation of betulinic acid derivatives as PET tracers for hypoxia-induced carbonic anhydrase IX (CA IX) expression -- Role of the mTOR signaling pathway during extracellular acidosis in tumor cells -- Feasibility Study of Remote Contactless Perfusion Imaging with Consumer-Grade Mobile Camera -- Stability of a Novel PEGylation site on a Putative Hemoglobin Based Oxygen Carrier -- Oxygen storage in stacked phospholipid membranes under an oxygen gradient as a model for myelin sheaths -- Confocal laser and electron microscopic investigation of gap junctions in anaplastic astrocytomas -- A radiation biological analysis of the oxygen effect as a possible mechanism in FLASH -- Assessment of nicotinamide adenine dinucleotide in human tissues by in vivo phosphorus-31 magnetic resonance spectroscopic imaging at 1.5 Tesla -- Drag-Reducing Polymers Improve Vascular Hemodynamics and Tissue Oxygen Supply in Mouse Model of Diabetes Mellitus -- Hemorheologic Enhancement of Cerebral Perfusion increases oxygen supply and reduces Ab plaques deposition in a mouse model of Alzheimer’s Disease -- Calorimetric Characterization of the Binding Reaction Between Human Ferric Hemoglobins and Haptoglobin to Develop a Drug for Removal of Cell-Free Haemoglobin -- Feasibility To Measure Tissue Oxygen Saturation Using Textile-integrated Polymer Optical Fibers -- Effect of Atorvastatin on Microcirculation Evaluated by Vascular Occlusion Test with Peripheral Near lnfrared Spectroscop -- Flow characteristics of the conjugate of anti-CD3 monoclonal antibodies and magnetic nanoparticle in the PBS and the blood vessel -- Cerebrovascular Reserve (CVR) and Stages of Hemodynamic Compromise -- On the mechanism of sustained mitochondrial membrane potential without functioning complex IV -- Further evidence that gradients of extracellular pH direct migration of MDA-MB-231 cells in vitro -- Blood Flow and Respiratory Gas Exchange in the Human Placenta at Term: A Data Update -- Oxyhaemoglobin Level Measured Using Near-Infrared Spectrometer is Associated with Brain Mitochondrial Dysfunction After Cardiac Arrest in Rats -- Changes in Oxygenation Levels During Moderate Altitude Simulation (Hypoxia-Induced): A Pilot Study Investigating the Impact of Skin Pigmentation in Pulse Oximetry -- The Intramuscular Circulation is Affected by Neck and Shoulder Pain -- Intramuscular circulation of the lumbar multifidus in different trunk positions on standing -- Numerical Optimization of a NIRS Device for Monitoring Tissue Oxygen Saturation -- Upper trapezius muscle tonicity, assessed by palpation, relates to change in tissue oxygenation and structure as measured by Time-Domain Near Infrared Spectroscopy -- Perceived exertion correlates with multiple physiological parameters during cardiopulmonary exercise testing -- Systemic and Quadriceps Muscle O2 Dynamics in Subjects without Attenuation Point of Deoxygenated Hemoglobin Concentration during Ramp Cycling Exercise -- Jaw-Clenching Intensity Effects on Masseter Oxygen Dynamics and Fatigue: A NIRS Oximetry Study. .
    Abstract: This book contains most of the scientific contributions during the 48th annual conference of the International Society on Oxygen Transport to Tissue (ISOTT), which was held electronically in July 2021. It includes multidisciplinary contributions from scientists (physicists, biologists and chemists), engineers, clinicians and mathematicians and covers covers all aspects of oxygen transport from air to the cells, organs and organisms; instrumentation and methods to sense oxygen and clinical evidence.
    Type of Medium: Online Resource
    Pages: XXVI, 446 p. 163 illus., 100 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031141904
    Series Statement: Advances in Experimental Medicine and Biology, 1395
    DDC: 571.6
    Language: English
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  • 8
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Bioinformatics. ; Biotechnology. ; Computational and Systems Biology.
    Description / Table of Contents: Web-based 3D visualisation of biological and medical data -- Ultrasound-Guided Regional Anaesthesia: Visualising Nerve and Needle -- Scanning conditions in functional connectivity magnetic resonance imaging: how to standardise resting-state for optimal data acquisition and visualisation? -- Interactive VR Stroke Rehabilitation System Design -- Systematic review of Augmented and Virtual Reality in anatomical education -- Interdimensional travel: Visualisation of 3D-2D transitions in anatomy learning -- Anatomy Visualizations Using Stereopsis: Assessment and Implication of Stereoscopic Virtual Models in Anatomical Education -- Storyboarding in Medical Animation -- The hidden curriculum of imaging and utilisation of unregulated social media resources within clinical education -- Online distance learning in biomedical sciences: Community, belonging and presence. .
    Abstract: This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. The first eight chapters examine a variety of tools, techniques, methodologies and technologies which can be utilised to visualise and understand biological and medical data. This includes web-based 3D visualisation, ultrasound, virtual and augmented reality as well as functional connectivity magnetic resonance imaging, storyboarding and a variety of stereoscopic and 2D-3D transitions in learning. The final two chapters examine the pedagogy behind digital techniques and tools from social media to online distance learning techniques.
    Type of Medium: Online Resource
    Pages: XV, 181 p. 69 illus., 37 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030376390
    Series Statement: Advances in Experimental Medicine and Biology, 1235
    DDC: 660.6
    Language: English
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  • 9
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Enzymology. ; Proteins. ; Bioinformatics. ; Microbial genetics. ; Biotechnology. ; Enzymology. ; Proteins. ; Bioinformatics. ; Microbial Genetics.
    Description / Table of Contents: Chapter 1. Introduction to Glycoside Hydrolases: Classification, identification and Occurrence -- Chapter 2. Glycosyl Hydrolases – Biochemistry and Applications -- Chapter 3. Lignocellulolytic and Chitinolytic Glycoside Hydrolases: Structure, Catalytic -- Chapter 4. Role of glycosyl hydrolases in breakdown of lignocellulosic waste and its industrial applications -- Chapter 5. Marine glycosyl hydrolases as tool for industrial application -- Chapter 6. Glycosyl Hydrolases and Biofuel -- Chapter 7. Role of Glycoside hydrolases in pulp and paper industries -- Chapter 8. Application of glycosyl hydrolases in food industry -- Chapter 9. The effects of xylanase synergistic interactions during lignocellulose degradation and their significance for industry -- Chapter 10. Role of metagenomics in discovery of industrially important cellulase.
    Abstract: This book gathers selected studies on the industrial applications of glycoside hydrolases (GHs), presenting an updated classification of these enzymes, and discussing their structure, mechanisms, and various approaches to improve their catalytic efficiency. Further, it explains the various industrial applications of glycoside hydrolases in food, effluent treatment, biofuel production, and the paper and pulp industries. Lastly, the book provides a comparative analysis of glycosyide hydrolases and discusses the role of metagenomics in the discovery of industrially important enzymes. As such it is a thought-provoking, instructive and informative resource for biochemists, enzymologists, molecular biologists and bioprocess technologists. .
    Type of Medium: Online Resource
    Pages: XXI, 259 p. 35 illus., 19 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811547676
    DDC: 660.6
    Language: English
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  • 10
    Keywords: Paleoecology. ; Paleontology . ; Bioinformatics. ; Archaeology. ; Earth sciences. ; Paleoecology. ; Paleontology. ; Computational and Systems Biology. ; Archaeology. ; Earth Sciences.
    Description / Table of Contents: Chapter1. Introduction to Indian Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 2. Historical Background of Late Cretaceous-Early Palaeocene Microbiotic Assemblages from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 3. Geology and Stratigraphy of Microbiota-Bearing Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 4. Indian Late Cretaceous-Early Palaeocene Deccan Microbiota from Chhindwara District, Madhya Pradesh: Systematic Studies -- Chapter 5 Palaeoecological and Palaeoenvironmental Implications of the Cretaceous-Palaeogene Microbiota-Bearing Deccan Intertrappean beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 6. Palaeobiogeographical Implications of Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean beds of the Chhhindwara District, Madhya Pradesh, India.
    Abstract: This book describes the microbiota of the intertrappean beds in the Chhindwara District, Madhya Pradesh, India. In this work, special emphasis is placed on the microbiota from the Late Cretaceous-Early Palaeocene transition of the central Narmada River region. Recently, the intertrappean beds of the Eastern Deccan Volcanic Province (one of the subprovinces of the Deccan Volcanic Province) have received considerable attention, which resulted in the addition of some significant biotic assemblages to the existing record from the Dindori-Chhindwara area of the province. The biotic assemblages include charophytes, ostracods, foraminiferans, fishes, frogs, lizards, turtles, crocodiles, and mammals. In spite of the recent discoveries, the known fossil record of the Late Cretaceous-Early Palaeocene biota of India is not sufficient and thus does not permit us to speculate on the possible impact of environmental changes triggered by the Deccan volcanic lava flows on the contemporary biota and to precisely document their palaeoecologic, palaeoenvironmental and palaeobiogeographic implications. The recent biotic reports from the intertrappean beds exposed in the Chhindwara region of the Eastern Deccan Volcanic Province clearly indicate that these beds have a vast potential in terms of fossil content, which could reveal new and dissimilar biotic remains when compared to the Western Deccan Volcanic Province. The record of diverse accumulations of freshwater charophytes, brackish to freshwater ostracods, and planktic foraminiferal and fish assemblages from the intertrappean beds of Jhilmili and adjacent areas of Early Danian (P1a) age and lying just north of Chhindwara town and in the heart of peninsular India has intriguing implications for defining the age limits of the basaltic flows. The occurrence of non-marine taxa, for example, algae, molluscs, and vertebrates, associated with brackish water ostracods in the nearby Singpur and Mohgaon Kalan localities of the Chhindwara region, has also raised concerns about the sedimentary environments of these intertrappean beds. The new finds (presented in this book) prove useful for the better understanding of the palaeoecology and palaeoenvironment of the biota and also throw light on various paleobiogeographic models proposed for the northward drifting Indian plate. The microbiotic assemblages of the intertrappean beds of the eastern Deccan volcanic province at District Chhindwara, Madhya Pradesh are documented in this book. The microbiota of the central Narmada River region, the charophytes, ostracods, planktic foraminifera, and fishes, receive special attention in this study.
    Type of Medium: Online Resource
    Pages: XXIII, 274 p. 55 illus., 36 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031288555
    Series Statement: Topics in Geobiology ; 54
    DDC: 560.45
    Language: English
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  • 11
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Computational intelligence. ; Bioinformatics. ; Biotechnology. ; Computational Intelligence. ; Bioinformatics.
    Description / Table of Contents: Chapter 1. Feature engineering and computational intelligence in ECG monitoring – an introduction -- Chapter 2. Representative Databases for Feature Engineering and Computational Intelligence in ECG Processing -- Chapter 3. An Overview of signal quality indices on dynamic ECG signal quality assessment -- Chapter 4. Signal quality features in dynamic ECGs -- Chapter 5. Motion Artifact Suppression Method in Wearable ECG -- Chapter 6. Data Augmentation for Deep Learning based ECG analysis -- Chapter 7. Study on Automatic Classification of Arrhythmias -- Chapter 8. ECG Interpretation with deep learning -- Chapter 9. Visualizing ECG contribution into Convolutional Neural Network classification -- Chapter 10. Atrial fibrillation detection in dynamic signals -- Chapter 11. Applications of Heart rate variability in Sleep Apnea -- Chapter 12. False Alarm Rejection for ICU ECG Monitoring -- Chapter 13. Respiratory Signal Extraction from ECG Signal -- Chapter 14. Noninvasive Recording of Cardiac Autonomic Nervous Activity--What’s behind ECG? -- Chapter 15. A questionnaire study on artificial intelligence and its effects on individual health and wearable device.
    Abstract: This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.
    Type of Medium: Online Resource
    Pages: X, 268 p. 101 illus., 77 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811538247
    DDC: 660.6
    Language: English
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  • 12
    Keywords: Cytology. ; Stress (Physiology). ; Bioinformatics. ; Cytology Technique. ; Cellular Stress. ; Computational and Systems Biology. ; Cytological Techniques.
    Description / Table of Contents: Introduction -- Assays for thiols and modifications -- Pitfalls of ROS measurements by fluorescent probes and mitochondrial superoxide determination using MitoSOX -- Methods and Reagents -- Clinical Probes for ROS and Oxidative Stress -- Measurement of oxidative stress markers in vitro using commercially available kits -- Oxidative Lipidomics - Analysis of Oxidized Lipids and Lipid Peroxidation in Biological Systems with Relevance to Health & Disease -- Clinically Related Models and Approaches -- Oxidant-Induced Models of Vascular Leak -- Ozone-Specific’ Oxysterols and Neuronal Cell Signaling -- Measurement Oxidative Stress Status in Human Populations: A Critical Need for a Metabolomic Approach -- Instrumental Methods -- Sense and Sensibility of Oxygen in Pathophysiology using EPR Oximetry -- Resonators for Clinical EPR -- Biomedical Overhauser Magnetic Resonance Imaging (OMRI). Noninvasive Imaging of Redox Processes -- Index.
    Abstract: This book describes the methods of analysis and determination of oxidants and oxidative stress in biological systems. Reviews and protocols on select methods of analysis of ROS, RNS, oxygen, redox status, and oxidative stress in biological systems are described in detail. It is an essential resource for both novices and experts in the field of oxidant and oxidative stress biology.
    Type of Medium: Online Resource
    Pages: XIV, 237 p. 85 illus., 37 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030473181
    Series Statement: Biological Magnetic Resonance, 34
    DDC: 571.6
    Language: English
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  • 13
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Bioinformatics. ; Biotechnology. ; Computational and Systems Biology.
    Description / Table of Contents: Virtual Anatomy Museum – Facilitating Public Engagement Through An Interactive Application -- E-Learning And Embryology; Designing An Application To Improve 3D Comprehension Of Embryological Structures -- Animated Guide to Represent A Novel Means of Gut-brain Axis Communication -- Engaging with Children using Augmented Reality on Clothing to Prevent them from Smoking -- Enabling More Accessible MS Rehabilitation Training Using Virtual Reality -- The Use of Augmented Reality to Raise Awareness of the Differences between Osteoarthritis and Rheumatoid Arthritis -- Understanding the Brain and Exploring the Effects of Clinical Fatigue: From A Patient’s Perspective -- A Methodology for Visualising Growth and Development of the Human Temporal Bone -- Collect the Bones, Avoid the Cones: A Game-Based App for Public Engagement -- A Serious Game on Skull Anatomy for Dental Undergraduates. .
    Abstract: This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. All chapters in this volume feature collaborative and innovative postgraduate research projects from graduate students of the MSc Medical Visualisation and Human Anatomy. This pioneering, world-leading postgraduate taught degree program is a joint partnership degree between the School of Life Sciences within the College of Medical, Veterinary and Life Sciences in the University of Glasgow, and the School of Simulation and Visualisation, The Glasgow School of Art. These chapters truly showcase the amazing and diverse technological applications that have been carried out as part of their research projects.
    Type of Medium: Online Resource
    Pages: XVI, 237 p. 268 illus., 238 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030439613
    Series Statement: Advances in Experimental Medicine and Biology, 1262
    DDC: 660.6
    Language: English
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  • 14
    Keywords: Biotechnology. ; Geriatrics. ; Medicine Research. ; Biology Research. ; Medical genetics. ; Bioinformatics. ; Regenerative medicine. ; Biotechnology. ; Geriatrics. ; Biomedical Research. ; Medical Genetics. ; Computational and Systems Biology. ; Regenerative Medicine and Tissue Engineering.
    Description / Table of Contents: PART I ~ ALTERATIONS IN CELLULAR MECHANISMS DURING AGING -- Chapter 1 Protein Structure and Function in Aging and Age-related Diseases -- Chapter 2 DNA, DNA Replication and Aging -- Chapter 3 Transcription and Aging -- Chapter 4 Ribosomes, Translation and Aging -- Chapter 5 p53 and Aging -- Chapter 6 Paired Box (Pax) Transcription Factors and Aging -- Chapter 7 Telomeres, Telomerase and Aging -- Chapter 8 The Epigenome of Ageing -- Chapter 9 Attaining Epigenetic Rejuvenation: Challenges Ahead -- Chapter 10 Mitochondria as a Key Player in Aging -- Chapter 11 Aging, Free Radicals and Reactive Oxygen Species: An Evolving Concept -- Chapter 12 Stem Cells and Aging -- Chapter 13 Can Autophagy Stop the Clock: Unravelling the Mystery in Dictyostelium discoideum -- Chapter 14 Aging: Reading, Reasoning and Resolving Using Drosophila as a Model System -- Chapter 15 Nothobranchius furzeri as a New Model System for Aging Studies -- PART II ALTERATIONS IN METABOLISM DURING AGING AND DISEASES -- Chapter 16 Aging in Muscle -- Chapter 17 Metabolic Diseases and Aging -- Chapter 18 Interplay Between Nutrient Sensing Molecules During Aging and Longevity -- Chapter 19 Protein Aggregation, Related Pathologies and Aging -- Chapter 20 Biological Rhythms and Aging -- Chapter 21 The Biology of Ageing and Cancer – A Complex Association.
    Abstract: The book deals with basic cellular and molecular mechanisms associated with aging. It comprehensively describes the important genetic, epigenetic, biochemical and metabolic regulations during aging, as well as some important age-related diseases.The book is divided into four major sections for easy understanding. It takes the readers through the various aspects of aging in a story-like manner. Certain interventions for healthy aging such as dietary restriction, regular exercise and maintaining a balanced and peaceful life-style are also suggested by the experts. The book would be a companion for both beginners, as well as established researchers in the field. It would be useful for science education, research, clinical approach and policy making.
    Type of Medium: Online Resource
    Pages: XIII, 497 p. 77 illus., 70 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789813290051
    DDC: 660.6
    Language: English
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  • 15
    Keywords: Paleoecology. ; Agricultural ecology. ; Environment. ; Forestry. ; Bioinformatics. ; Paleoecology. ; Agroecology. ; Environmental Sciences. ; Forestry. ; Computational and Systems Biology.
    Description / Table of Contents: Chapter 1. Presentation and Work Guide -- Chapter 2. General identification keys -- Chapter 3. Atlas of the most common xylophagous insects.
    Abstract: This atlas presents a concrete tool to identify xylophagous activity by the remains they left in wooded areas in Western Europe. Xylophagous insects are among the largest predators of woody tissues. They leave discriminating traces, different for each species according to their bioecology, and so it is necessary to know how to recognize and characterize them. The book is a practical tool to help identify and interpret them through a standardized presentation of the most ubiquitous families and a key to their determination. It presents descriptions of the galleries and of morphometry of the faecal pellets based on macroscopic features for xylophagous identification, and includes information about the origin and distribution of the xylophagous biological cycles, bioclimatic conditions and bioecology, and the type of woods that are attacked. The book will be a useful guide for forest managers, heritage conservationists, environmental engineers, bioarchaeologists, entomologists, loggers, and wood anatomists. .
    Type of Medium: Online Resource
    Pages: XVII, 220 p. 464 illus., 288 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030663919
    DDC: 560.45
    Language: English
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  • 16
    Keywords: Biotechnology. ; Bioinformatics. ; Computer vision. ; Machine learning. ; Biotechnology. ; Bioinformatics. ; Computer Vision. ; Machine Learning.
    Description / Table of Contents: Chapter 1. An Integrated Design of Fuzzy C-Means and NCA based Multi-Properties Features Reduction for Brain Tumor Recognition -- Chapter 2. Hybrid Image Processing based Examination of 2D Brain MRI Slices to Detect Brain Tumour/Stroke Section – A Study -- Chapter 3. Edge Enhancing Coherence Diffusion Filter for Level Set Segmentation and Asymmetry Analysis using Curvelets in Breast Thermograms -- Chapter 4. Lung Cancer Diagnosis Based on Image Fusion and prediction using CT and PET image -- Chapter 5. Segmentation and Validation of Infrared Breast Images using Weighted Level Set and Phase Congruency Edge Map Framework -- Chapter 6. Analysis of Material Profile for Polymer Based Mechanical Microgripper for Thin Plate Holding -- Chapter 7. Design and Testing of Elbow Actuated Wearable Robotic Arm for Muscular Disorders -- Chapter 8. A Comprehensive Study of Image Fusion Techniques and Their Applications -- Chapter 9. Multilevel Mammogram Image Analysis for Identifying Outliers, Misclassification using Machine Learning -- Chapter 10. A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy -- Chapter 11. Medical Image Watermarking: A Review on Wavelet Based Methods -- Chapter 12. EEG Signal Extraction Analysis Techniques -- Chapter 13. Classification of sEMG Signal based Arm Action using Convolutional Neural Network -- Chapter 14. An Automated Approach for the Identification of TB Images Enhanced by Non-uniform Illumination Correction.
    Abstract: This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.
    Type of Medium: Online Resource
    Pages: XIV, 283 p. 117 illus., 52 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811561412
    DDC: 660.6
    Language: English
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  • 17
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Bioinformatics. ; Machine learning. ; Biotechnology. ; Computational and Systems Biology. ; Machine Learning. ; Bioinformatics.
    Description / Table of Contents: Chapter 1. A Brief Overview Of Applications Of Machine Learning In Life Sciences -- Chapter 2. Introduction To Artificial Intelligence (Ai) Methods In Biology -- Chapter 3. Machine Learning Methods -- Chapter 4. Introduction To Machine Learning Models -- Chapter 5. Model Selection Formachine Learning -- Chapter 6. Multivariate Methods In Machine Learning In The Context Of Biological Data -- Chapter 7. Dimensionality Reduction Methods In Machine Learning -- Chapter 8. Hidden Markov Method -- Chapter 9. Neural Network And Deep Learning. Chapter 10. Ethics In Machine Learning And Artificial Intelligence -- Chapter 11. Machine Learning And Life Sciences -- Chapter 12. Machine Learning And Negleced Tropical Diseases- Chapter 13. Machine Learning In Cardiovascular Diseases -- Chapter 14. Machine Learning And Diabetes -- Chapter 15. Machine Learning And Epilepsy -- Chapter 16. The Microsoft, Google, Facebook, Pytorch And Applications In Biology -- Chapter 17. Applications And Software Of Machine Learning And Ai In Medical Knowledge In Health -- Chapter 18. Cloud Computing Infrastructure In Healthcare Industry -- Chapter 19. Amazon Web Services (Aws) And Microsoft Azure In The Domain Of Life Sciences -- Chapter 20. Toxicity: An Introduction -- Chapter 21. Machine Learning (Ml) And Toxicity Studies. Chapter 22. Applications Of Machine Learning In Study Of Cell Biology -- Chapter 23. Genomics And Machine Learning -- Chapter 24. Cell Fate Analysis And Machine Learning -- Chapter 25. Study Of Biomarker And Machine Learning -- Chapter 26. Animal Behaviour: An Introduction -- Chapter 27. Study Of Animal Behaviour And Machine Learning -- Chapter 28. Machine Learning And Precision Farming -- Chapter 29. Machine Learning In The Study Of Animal Health And Veterinary Sciences -- Chapter 30. Macinelearning And Animalresorviors -- Chapter 31. Challenging Problems In Plant Biology -- Chapter 32. Machine Learning And Plant Sciences. Chapter 33. Machine Learning In Understanding Of Plant Pathogen Interactions -- Chapter 34. Machine Learning In Plant Disease Research -- Chapter 35. Biorobots -- Chapter 36. The Challenges To Application Of Machine Learning In Biological Sciences -- Chapter 37. The Future Of Machine Learning.
    Abstract: This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology. It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.
    Type of Medium: Online Resource
    Pages: XXI, 336 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811688812
    DDC: 660.6
    Language: English
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  • 18
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Medicine Research. ; Biology Research. ; Proteins. ; Bioinformatics. ; Human physiology. ; Biotechnology. ; Biomedical Research. ; Proteins. ; Bioinformatics. ; Human Physiology.
    Description / Table of Contents: Chapter 1. Modeling of protein complexes involved in signaling pathway for Non-Small Cell Lung Cancer -- Chapter 2. Role of BioJava in the Department of Bioinformatics Tools -- Chapter 3. Overview of machine learning methods in ADHD prediction -- Chapter 4. Simplified Protein Structure Prediction Using Parallel Genetic Algorithms -- Chapter 5. Applications of deep learning in drug discovery -- Chapter 6. Big Data Analytics for Handling NGS Data & its Applications in Identifying Cancer Mutations -- Chapter 7. Medicinal Properties of Fruit waste -- Chapter 8. Epigenetic toxicity of nanoparticles -- Chapter 9. Protein Misfolding and Aggregation in Neurodegenerative diseases -- Chapter 10. Enzyme technology prospectus & their Biomedical Applications -- Chapter 11. Polyunsaturated fatty acids enhance the recovery of bone marrow impairment caused after radiation -- Chapter 12. Nanomaterial Enabled Rapid Electrochemical Biosensors For Bacterial Pathogens -- Chapter 13. Heart Rate Variability Analysis in lung cancer patients to study the effect of treatment -- Chapter 14. Co-Relation of Physiological Signals And Therapy for Diagnostics Purpose of Periodic Limb Movement Disorder (Plmd) -- Chapter 15. Analysis of Forward Head Posture -- Chapter 16. Biopolymeric Smart Nano-Carriers for Drug Delivery Applications.
    Abstract: This book provides a single source of information on three major bioengineering areas: engineering at the cellular and molecular level; biomedical devices / instrument engineering; and data engineering. It explores the latest strategies that are essential to advancing our understanding of the mechanisms of human diseases, the development of new enzyme-based technologies, diagnostics, prosthetics, high-performance computing platforms for managing huge amounts of biological data, and the use of deep learning methods to create predictive models. The book also highlights the growing importance of integrating chemistry into life sciences research, most notably concerning the development and evaluation of nanomaterials and nanoparticles and their interactions with biological material. The underlying interdisciplinary theme of bioengineering is addressed in a range of multifaceted applications and worked out examples provided in each chapter.
    Type of Medium: Online Resource
    Pages: XIII, 229 p. 79 illus., 48 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811520631
    DDC: 660.6
    Language: English
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  • 19
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Cytology. ; Bioinformatics. ; Biophysics. ; Biomathematics. ; Cell Biology. ; Bioinformatics. ; Biophysics. ; Computational and Systems Biology. ; Computational and Systems Biology. ; Mathematical and Computational Biology.
    Description / Table of Contents: Chapter 1: Introduction to Quantitative Biology -- Chapter 2: Architectonics of the Cell -- Chapter 3: Mechanics of the Cell -- Chapter 4: Implementing Toy Models in Microsoft Excel -- Chapter 5: Implementing Toy Models in Python -- Chapter 6: Differential Equations to Describe Temporal Changes -- Chapter 7: Diversity of the Cell -- Chapter 8: Randomness, diffusion, and probability -- Chapter 9: Self-Organization of the Cell -- Chapter 10: Modeling feedback regulations Chapter 11: Development of the Cell over Time (Perspectives).
    Abstract: This textbook is for biologists, to conduct quantitative analysis and modeling of biological processes at molecular and cellular levels. Focusing on practical concepts and techniques for everyday research, this text will enable beginners, both students and established biologists, to take the first step in quantitative biology. It also provides step-by-step tutorials to run various sample programs in one’s personal computer using Excel and Python. This volume traces topics, starting with an introductory chapter, such as modeling, construction and execution of numerical models, and key concepts in quantitative biology: feedback regulations, fluctuations and randomness, and statistical analyses. It also provide sample codes with guidance to procedure programming for actual biological processes such as movement of the nucleus within a cell, cell-cycle regulation, stripe pattern formation of skins, and distribution of energy. Written by a leading research scientist who has a background in biology, studied quantitative approaches by himself, and teaches quantitative biology at several universities, this textbook broadens quantitative approaches for biologists who do not have a strong background in mathematics, physics, or computer programming, and helps them progress further in their research.
    Type of Medium: Online Resource
    Pages: XII, 130 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811650185
    Series Statement: Learning Materials in Biosciences,
    DDC: 571.6
    Language: English
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