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"Requiring only introductory statistics and basic mathematics, this textbook avoids jargon and provides worked examples, data sets and R code, and review exercises. Designed for advanced undergraduates and postgraduates studying biostatistics and experiment design in biology-related fields, it applies statistical concepts to biological scenarios"-- Provided by publisher.

• An apocalypse without kingdom
• Beginnings of "the end"
• 'Till entropy death do us part
• The invention of omnicide
• Mother nature wants to kill us
• The perfection of evil
• What is human extinction?
• Early ruminations
• Ethical innovations of the postwar era
• Astronomical value and the harm of existence
• Recent developments
• Looking forward to the future.

"This volume traces the origins and evolution of the idea of human extinction, from the ancient Presocratics through contemporary work on "existential risks." Although accessible enough to be read by undergraduates, Human Extinction contains new and thought-provoking research that will benefit even established academic philosophers and historians"-- Provided by publisher.

• Data And Urban Poverty: Detecting And Characterising Slums And Deprived Urban Areas In Low-And Middle-Income Countries
• Investigation Of Ecological Sustainability Through The Landscape Approach Of Geospatial Technology: Study From New Town Project In Eastern India
• Advanced Remote Sensing For Sustainable Decent Housing For The Economically Challenged Urban Households
• Impact Of Uncontrolled Tourism Development On Landscape Ecology Of Purba Medinipur Coastal Region, West Bengal: A 4-C Framework And Swoc Analysis
• Impact Of Urban Heat Island: A Local-Level Urban Climate Phenomenon On Urban Ecology And Human Health
• Identification Of Environmental Epidemiology Through Advanced Remote Sensing Based On Ndvi
• Assessment Of Land Utilization Pattern And Their Relationship With Surface Temperature And Vegetation In Sikkim, India
• Monitoring Land Use And Land Cover Change Over Bhiwani District Using Google Earth Engine
• Image And Perception Of Royal Heritage And Eco-Space Of The Medium Towns In India: Reflection From Burdwan Royal Heritage Site
• Governance And Floodplain Extent Changes Of Yamuna River Floodplain In Megacity Delhi
• Assessing Urban Compactness Using Machine Learning And Earth Observation Datasets: A Case Study Of Kolkata City
• Analysis Of Ecological Vulnerability Behind The Land Conversion From Agriculture To Aquaculture Of Purba Medinipur District In West Bengal, India
• Environmental Change Analysis Using Remote Sensing And Gis: A Study Of Upper Baitarani Basin, Odisha
• Mapping Urban Footprint Using Machine Learning And Public Domain Datasets

This book introduces the use of various remote sensing data such as microwave, hyperspectral and very high-resolution (VHR) satellite imagery; mapping techniques including pixel and object-based machine learning; and geostatistical modelling techniques including cellular automation, entropy and land fragmentation. Remote sensing plays a vital role in solving urban and environmental challenges at the landscape level. Globally, more than half of the urban population is facing severe environmental and social challenges, especially those relating to climate change, agricultural land encroachment, green infrastructure and environmental degradation, mobility due to rapid rural-urban transformation and anthropogenic interventions. Mapping and quantification of such threats at the landscape level are challenging for experts using traditional techniques; however, remote sensing technology provides diverse spatial data at a varying scale, volume and accessibility for mapping and modelling, and it also analyses challenges at urban and landscape levels. Together, they address challenges at urban and landscape levels to support the Sustainable Development Goals (SDGs)

• Intro
• Foreword: Agricultural Development and Soil Deterioration After the Hula Drainage
• Introduction
• Soil Features
• Initial Stages of Agriculture
• Soil Deterioration
• Measures for Land Reclamation
• Plans and Research for the Development of New Agro-tourism Scheme
• References
• Acknowledgments
• Hula Book: Introduction
• The Hula Valley: Anthropocene Historical Headlines
• Contents
• Chapter 1: Hula Drainage Project
• 1.1 Introduction
• 1.1.1 Before Drainage Period
• 1.1.2 Historical Highlights
• 1.1.3 Hula Drainage Operation

• 1.2 Conclusive Remarks and Future Perspectives
• References
• Chapter 2: Climatological Conditions in the Hula Valley
• 2.1 Introduction
• 2.1.1 Data Sources
• 2.1.2 Statistical Methods
• 2.1.3 Mapping of Subterranean Water Distribution
• 2.2 Results
• 2.2.1 The Impact of Climate Condition Changes on Rain Distribution
• 2.3 Discussion
• 2.4 Conclusive Summary
• References
• Chapter 3: Subterranean Migration of Nutrients in the Hula Valley
• 3.1 Introduction
• 3.1.1 Results and Discussion
• 3.1.2 Seasonal Changes
• 3.2 Summary
• References

• Chapter 4: Crane (Grus grus) Ecotourism in the Hula Valley: A Compensated Conflict of Interest
• 4.1 Introduction
• 4.2 Results and Discussion
• 4.2.1 The Summer Increase of TP in Lake Agmon-Hula
• 4.3 Summary
• 4.4 Conclusive Remarks
• Epilogue: Avian Influenza Outbreak
• References
• Chapter 5: Nutrients Dynamics in Lake Agmon-Hula
• 5.1 Introduction
• 5.2 Data Sources
• 5.3 Results and Discussion
• 5.4 Submerged and Emerged Macrophytes
• 5.5 Summary
• References
• Chapter 6: Land Use-Land Cover and Climate Change in the Hula Valley
• 6.1 Introduction
• 6.2 Data Sources

• 6.3 Results and Discussion
• 6.4 Regional Water Balance
• 6.5 The Impact of Climate Change: Temperature, Solar Radiation
• 6.6 Climate Change
• 6.6.1 Hydrology
• 6.6.2 Air Temperature
• 6.6.3 Chill Hours Record
• 6.6.4 Solar Radiation
• 6.7 Conclusive Remarks
• References
• Chapter 7: Air Temperature Hula Reclamation Project and Albedo in the Hula Valley
• 7.1 Introduction
• 7.2 Data Sources
• 7.3 Results and Discussion
• 7.4 Conclusive Summary
• References
• Chapter 8: Hula Valley and Lake Kinneret Interrelationships: Future Management Proposition of Lake Agmon-Hula System

• 8.1 Introduction
• 8.2 Source of Information
• 8.3 Results and Discussion
• 8.3.1 Lake Agmon Water Balance
• 8.3.2 Water Balance (2005, 2006) in Lake Agmon-Hula
• 8.3.3 Nutrient Dynamics
• 8.3.4 Bird Distribution the Hula Valley
• 8.4 Summary
• References
• Chapter 9: N2-Fixer Cyanobacterium Dependent on Sulfate Supply from the Hula Valley
• 9.1 Introduction
• 9.2 Material and Methods
• 9.3 Results
• 9.3.1 Headwater Discharges as Sulfate Resourcing
• 9.4 Sulfate Load in the Hula Valley
• 9.5 Hula Valley-Lake Kinneret Sulfate-Molybdenum Linkage

The anxious search for agricultural income resources, and assurance of the national water supply in the northern newly created state of Israel initiated the national project of the Hula Drainage. The implementation of this project was accompanied as of today by research and monitoring of the ecological trait aimed at crop harvest improvement in the Hula valley and prevention of water quality deterioration in Lake Kinneret. Forty years later a reclamation project to improve the peat soil property and renovate the hydrological system was carried out. This book documents the scientific research carried out during this mega-ecological project. Several issues of the ecological renovation and its impact on the Hula valley management and water quality in lake Kinneret are presented in this book. The advantage and contribution of a newly created shallow lake Agmon-Hula to nutrient dynamics, and hydrological control, accompanied by avian presence, (among others, Cranes, Storks, Pelicans, Flamingoes) and plants renewal which enhanced, tourism; potential impact of nitrogen and sulfate migration from the Hula valley on the Kinneret water quality; the role of climate change on the ecology of the Hula Valley and the Kinneret nutrient availabilities and phytoplankton community; the subterranean migration of water and nutrients and water loss. Further proposals for future development are under consideration. This book presents a comprehensive practical management implementation of a long-term ecological project. Results of scientific and monitoring research which followed the project implementation benefit the international and national communities.

• 1. Graph Representation Learning for Protein Classification
• 2. Prediction of Methylation Sites in Protein Sequences
• 3. A Taxonomy of e-Healthcare Techniques and Solutions
• 4. Classification of Lung Diseases Using Machine Learning Techniques
• 5. Multi-Objective Bacterial Foraging Optimization
• 6. Artificial Intelligence for Biomedical Informatics
• 7. A Novel Approach for Feature Selection Using Artificial Neural Networks and Particle Swarm Optimization.
• 8. DL-based Diabetic Retinopathy Stage Classification from Retinal Fundus Images
• 9. Cancer Diagnosis from Histopathology Images Using Deep Learning: A Review
• 10. Skin Lesion Classification by Using Deep Tree-CNN Prakash Choudhary and Sameer Mansuri
• 11. Diagnose Covid-19 On Its Early Stages Using Lung CT Images
• 12. Impact of Machine Learning Practices on Biomedical Informatics
• 13. Recognition of Types of Arrhythmia
• 14. ML and DL Algorithms on Multi-Modal Omics Data.
• (source: Nielsen Book Data)

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: * Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. * Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. * Presents the application of evolutionary computations for fractal visualization of sequence data. * Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. * Examines the roles of efficient computational techniques in biology.
(source: Nielsen Book Data)

• 1. Assays for monitoring autophagy in stem cells
• 2. Autophagy in Stem Cell Maintenance and Differentiation
• 3. Autophagy in Embryonic stem cells and Neural stem cell
• s4. Autophagy in Germline Stem Cell
• s5. The role of autophagy in the regulation of hematopoietic stem cell
• s6. Autophagy in Muscle Stem Cell
• s7. Autophagy in Intestinal Stem Cell
• s8. The autophagy lysosomal pathway: friend or foe in adult neural stem cells
• ?9. Autophagy in Mesenchymal Stem Cell-based therap
• y10. Autophagic control of stem cells differentiation into osteogenic lineage- Implications in bone disorder
• s11. Autophagy in Cancer Metastasis.
• (source: Nielsen Book Data)

This book covers a wide range of topics that illustrate the various functions of autophagy in stem cells and offers insights on the mechanisms by which autophagy can regulate stem-cell self-renewal and facilitate specific differentiation programs. Stem cells are unique cells present in most multicellular animals and are essential for their survival. They have two unique properties: the ability to self-renew and the ability to differentiate into one or more cell types. These characteristics of stem cells have found immense therapeutic potential in regenerative medicine. Autophagy is a crucial membrane trafficking pathway that is essential for maintaining cellular homeostasis that involves sequestration of non-functional proteins, protein aggregates and damaged organelles in double-membraned vesicles called autophagosomes, which are subsequently targeted to the lysosome for degradation. The primary aim of this book is to provide knowledge of recent developments in our understanding of the role of autophagy in stem cells, including germline stem cells. Autophagy is considered a promising target for many diseases. Significant efforts are being developed to identify specific modulators of autophagy, which will aid in designing combinatorial therapeutic strategies that will allow significant improvements in regenerative medicine.
(source: Nielsen Book Data)

"Back from the Collapse is about the evolution, EuroAmerican-driven collapse, and large-scale restoration of Great Plains wildlife through efforts by American Prairie to assemble a protected area of 3.2 million acres-1 million acres larger than Yellowstone National Park-on the plains of northeast Montana"-- Provided by publisher

• Preface 1. A Grateful appreciation of Joan Martinez-Alier (Herman Daly)
• Preface 2. Memories concerning the career of Joan Martinez-Alier (Laurence Whitehead)
• Preface 3. Conversations with a Catalan polymath (Ramachandra Guha)
• Preface 4. Joan Martinez-Alier and the crisis of civilization, knowledge, and the human species (Victor Toledo)
• Part I. Introduction
• Chapter 1. Justification and scope of the book (Roldan Muradian and Sergio Villamayor-Tomas)
• Chapter 2. A Barcelona school of ecological economics and political ecology (Joan Martinez-Alier)
• Chapter 3. The Barcelona School of ecological economics and political ecology: Building bridges between moving shores (Sergio Villamayor-Tomas, Brototi Roy and Roldan Muradian)
• Part II. Epistemological foundations
• Chapter 4. Metaphysical midwifery and the living legacy of Nicholas Georgescu-Roegen (Katharine N. Farrell)
• Chapter 5. Languages of valuation (Christos Zografos)
• Chapter 6. Post-development: From the critique of development to a pluriverse of alternatives (Federico Demaria, Ashish Kothari, Ariel Salleh, Arturo Escobar and Alberto Acosta)
• Chapter 7. Indigenous and local knowledge and social-ecological systems (Victoria Reyes-Garca)
• Chapter 8. Degrowth and the Barcelona school (Giorgos Kallis)
• Part III. Social metabolism
• Chapter 9. Agrarian metabolism and socio-ecological Transitions to agroecology Landscapes (Enric Tello and Manuel Gonzlez de Molina)
• Chapter 10. Multi-scale integrated analysis of societal and ecosystem metabolism (Mario Giampietro)
• Chapter 11. Materials flow analysis in Latin America (Mario Alejandro Prez-Rincn)
• Chapter 12. Biophysical approaches to food system analysis in Latin America (Jesus Ramos-Martin and Fander Falcon)
• Chapter 13. Ecologically unequal exchange: the renewed interpretation of Latin American debates by the Barcelona School (Beatriz Macchione Saes)
• Chapter 14. Flow/Fund Theory and Rural Livelihoods (Jose Carlos Silva-Macher)
• Chapter 15. Deceitful decoupling: misconceptions of a persistent myth (Alevgul H. Sorman)
• Part IV. Environmental justice conflicts and alternatives
• Chapter 16. Does the social metabolism drive environmental conflicts? (Arnim Scheidel)
• Chapter 17. A critical mapping for researching and acting upon environmental conflicts - the case of the EJAtlas (Daniela Del Bene and Sofia vila)
• Chapter 18. The EJAtlas: an unexpected pedagogical tool to teach and learn about environmental social sciences (Mariana Walter, Lena Weber, Leah Temper)
• Chapter 19. Commons regimes at the crossroads: environmental justice movements and commoning (Sergio Villamayor-Tomas, Gustavo Garca-Lpez and Giacomo DAlisa)
• Chapter 20. (In)justice in urban greening and green gentrification (Isabelle Anguelovski)
• Chapter 21. From the soil to the soul: Fragments of a theory of economic conflicts (Julien-Franois Gerber)
• Part V. Science and self-reflected activism
• Chapter 22. Activism Mobilising Science Revisited (Marta Conde and Mart Orta-Martnez)
• Chapter 23. Iberian Anarchism in Environmental History (Santiago Gorostiza)
• Chapter 24. The Barcelona School of ecological economics and social movements for alternative livelihoods (Claudio Cattaneo)
• Chapter 25. The ups and downs of feminist activist research: positional reflections (Sara Mingorria, Rosa Binimelis, Iliana Monterroso, Federica Ravera)
• Chapter 26. From the environmentalism of the poor and the Indigenous towards decolonial environmental justice (Brototi Roy and Ksenija Hanaek)
• Part IV. Public policy applications
• Chapter 27. Agrobiodiversity in Mexican Environmental Policy (Nancy Arizpe and Dario Escobar-Moreno)
• Chapter 28. Conventional climate change economics: a way to define the optimal policy? (Jordi Roca and Emilio Padilla)
• Chapter 29. Contribution of global cities to climate-change mitigation overrated (Jeroen C.J.M. van den Bergh)
• Chapter 30. Reconciling Waste Management and ecological economics (Ignasi Puig Ventosa)
• Chapter 31. Work and needs in a finite planet: Reflections from ecological economics (Erik Gmez-Baggethun)
• Chapter 32. Collective action in Ecuadorian Amazonia (Fander Falcona and Julio Oleas)
• Chapter 33. The environmentalism of the paid (Esteve Corbera and Santiago Izquierdo-Tort)
• Index.

In this open access book, ecological economics and political ecology traditions converge into a single academic school. The book constitutes a common ground where multiple and critical voices are expressed, covering a broad scope of urgent matters at the crossroad between society, economy and the natural environment. The manuscripts composing this compendium offer appealing material for both experienced and younger researchers interested in interdisciplinary exchanges in the field of the social environmental sciences. It combines historical accounts with recent theoretical and empirical developments revolving around the interaction between three foundational notions of the Barcelona School: social metabolism, environmental justice and self-reflective science.

• 1. Freshwater Biodiversity: Importance, Threats, and Management
• 2. Freshwater Biodiversity: Advances and Challenges
• 3. Diversity and Management of Freshwater Macrophytes in the Kashmir Himalayas
• 4. Genus Schizothorax in the Northwestern Himalayas
• 5. Influence of Catchment on Freshwater Biodiversity
• 6. Pesticide Pollution in Freshwater Environs: Impacts on Aquatic and Terrestrial Life
• 7. Developmental Activities and Freshwater Biodiversity
• 8. Global Climate Change and Freshwater Biodiversity
• 9. Phytoremediation Potential of Spirodela polyrhiza for Cd and Cr Under Hydroponic Culture
• 10. Factors Affecting Habitat Selection of Freshwater Fishes of Sri Lanka: A Review
• 11. Freshwater Biodiversity: Indicators of Eutrophication and Pollution
• 12. Conservation of Biodiversity and Freshwater Ecosystems.
• (source: Nielsen Book Data)

Discusses the importance, threats, and management of biodiversity of freshwater ecosystems Provides detailed coverage of modern and updated techniques used in the evaluation and conservation of freshwater biodiversity Looks at the impact of pesticides pollution on freshwater environs on aquatic and terrestrial life Reviews how global climate change affects freshwater biodiversity.
(source: Nielsen Book Data)

• Intro
• Preface
• Organization
• Contents - Part I
• Contents - Part II
• Analysis of Molecular Dynamics Data in Proteomics
• Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques
• 1 Introduction
• 2 Materials and Methods
• 2.1 Class Imbalance Correction Methods
• 2.2 Experimental Setup
• 2.3 Evaluation Metrics for Imbalanced Data Problems
• 3 Results and Discussion
• 3.1 Interpretation Results
• 4 Conclusions
• References

• Identification of InhA-Inhibitors Interaction Fingerprints that Affect Residence Time
• 1 Introduction
• 1.1 Ligand-Receptor Binding Kinetics
• 1.2 Computer Methods to Determine Binding Kinetic Parameters
• 1.3 Research Objective
• 2 Mycobacterium Enoyl Acyl Carrier Protein Reductase (InhA)
• 3 Methods
• 4 Results
• 4.1 Ligand Similarity
• 4.2 Drug-Like Ligand Properties that Affect Residence Time
• 5 Discussion and Conclusions
• References
• Bioinformatics
• Validation of Height-for-Age and BMI-for-Age Z-scores Assessment Using Android-Based Mobile Apps
• 1 Introduction

• 2 Methods
• 2.1 Subjects
• 2.2 Anthropometric Measurements
• 2.3 Z-score Calculation
• 2.4 Statistical Analysis
• 3 Outcomes
• 4 Discussion
• 5 Conclusion
• 6 Limitations
• References
• An Algorithm for Pairwise DNA Sequences Alignment
• 1 Introduction
• 2 Related Work
• 3 An Algorithm for Pairwise DNA Sequences Alignment Based on the Proposed CAT Method
• 4 Experimental Results and Analysis
• 4.1 Implementation of the Proposed Method CAT for Sequences Alignment
• 4.2 Collision Analysis
• 4.3 Performance Analysis
• 5 Conclusion
• References

• Multiallelic Maximal Perfect Haplotype Blocks with Wildcards via PBWT
• 1 Introduction
• 2 Finding Maximal Blocks with Wildcards
• 3 The Algorithm
• 3.1 Positional BWT Extended to Wildcards
• 3.2 Building the Extended PBWT
• 3.3 Computing the Maximal Blocks
• 4 Experimental Results
• 5 Conclusions
• References
• GPU Cloud Architectures for Bioinformatic Applications
• 1 Introduction
• 2 GPU Usage in Bioinformatics
• 3 Processing Outsourcing
• 4 GPU Virtualisation in Cloud Architectures
• 5 Architecture Characteristics
• 6 Experiments
• 7 Conclusions
• References

• Biomarker Identification
• Novel Gene Signature for Bladder Cancer Stage Identification
• 1 Introduction
• 2 Data Description
• 3 Metodology
• 3.1 Differential Expressed Genes Extraction and Visualization
• 3.2 Development of Classification Models
• 4 Results and Discussion
• 4.1 Gene Enrichment
• 5 Conclusions
• References
• Predicting Cancer Stage from Circulating microRNA: A Comparative Analysis of Machine Learning Algorithms
• 1 Introduction
• 2 Materials and Methods
• 2.1 Study Cohort
• 2.2 Algorithms
• 2.3 Evaluation Metrics
• 2.4 Experimental Design

This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine

• Intro
• Preface
• Organization
• Contents - Part II
• Contents - Part I
• Feature Selection, Extraction, and Data Mining in Bioinformatics
• Agent Based Modeling of Fish Shoal Behavior
• 1 Introduction
• 2 Modeling
• 3 Methods
• 3.1 Multi agents Based Modeling and Simulation
• 4 Results and Discussion
• References
• Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation
• 1 Introduction
• 1.1 Biotelemetry
• 1.2 Fish Welfare
• 2 Dataset
• 3 Methods
• 4 Results
• 5 Conclusion
• References

• Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods
• 1 Introduction
• 2 Material and Methods
• 2.1 Data Set
• 2.2 Image Pre-processing
• 2.3 Feature Extraction
• 2.4 Data Pre-processing and Resampling
• 2.5 Feature Selection
• 2.6 Model Training and Evaluation
• 3 Results
• 3.1 Data Pre-processing and Resampling
• 3.2 Feature Extraction
• 3.3 Feature Selection
• 3.4 Performance Evaluation
• 4 Discussion
• 5 Conclusion
• References
• MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model

• 1 Introduction
• 2 Methodology
• 2.1 MetaLLM: Residue-Wise Metal Ion Prediction
• 3 Experiments and Results
• 3.1 Experimental Details
• 3.2 Result Analysis
• 4 Conclusion
• References
• Genome-Phenome Analysis
• Prediction of Functional Effects of Protein Amino Acid Mutations
• 1 Introduction
• 2 Methods
• 2.1 nsSNV Datasets
• 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm
• 2.3 Consensus Holdout Training and Selection
• 2.4 Extreme Learning Machine
• 2.5 Random Forests
• 3 Results
• 4 Conclusions and Future Directions
• References

• Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach
• 1 Introduction
• 2 Background
• 3 Methods
• 3.1 Reference
• 3.2 Dataset
• 3.3 Quality and Control
• 3.4 Pipeline
• 3.5 Workflow Management and Reproducibility
• 3.6 Benchmarking
• 3.7 Computational Resources
• 4 Results
• 4.1 Different Methods Performance
• 4.2 Computational Time
• 5 Discussion
• 6 Conclusion
• References
• Healthcare and Diseases
• Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions
• 1 Introduction
• 2 Methods
• 2.1 Study Design

• 2.2 Search Strategy
• 2.3 Inclusion Criteria
• 2.4 Selection of Studies
• 2.5 Data Analysis
• 3 Result
• 4 Discussion
• 4.1 The Development of Monitoring Devices for Fetal Well-Being
• 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering
• 4.3 Fetal Well-Being Indicators
• 4.4 Target Users
• 5 Conclusion
• References
• Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset
• 1 Introduction
• 2 Related Work
• 3 Materials and Methods
• 3.1 Data Acquisition
• 3.2 Dataset Construction
• 3.3 Data Pre-processing
• 3.4 Proposed LSTM Model

This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine

• MLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction.- STgcor: A Distribution-based Correlation MeasurementMethod for Spatial Transcriptome Data.- Automatic ICD Coding based on Multi-granularity Feature Fusion.- Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps.- Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension.- Private Epigenetic PaceMaker Detector using Homomorphic Encryption - Extended Abstract.- NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network.- Research on the prediction method of disease classification based on imaging features.- M-US-EMRs: A Multi-Modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease.- Transposition Distance Considering Intergenic Regions for Unbalanced Genomes.- An SMT-based Framework for Reasoning about Discrete Biological Models.- ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-rank Representation Method for Single-cell RNA-sequencing Data Clustering.- An Efficient and User-friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria.- A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes.- TDCOSR: A multimodality fusion framework for association analysis between genes and ROIs of Alzheimer's disease.- Policy-based Hypertension Monitoring using Formal Runtime Verification Monitors.- Deep learning-enhanced MHC-II presentation prediction and peptidome deconvolution.- MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis.- Optimal sequence alignment to ED-strings.- Heterogeneous PPI network representation learning for protein complex identification.- A Clonal Evolution Simulator for Planning Somatic Evolution Studies.- Prediction of Drug-disease Relationship on Heterogeneous Networks Based on Graph Convolution.- t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution.- MPCDDI: A Secure Multiparty Computation-based Deep Learning Framework for Drug-drug Interaction Predictions.- A Multimodal Data Fusion-based Deep Learning Approach for Drug-Drug Interaction Prediction.- GNN-Dom: an unsupervised method for protein domain partition via protein contact map.- A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs.- Gaussian-enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations.- Distance Profiles of Optimal RNA Foldings.- 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning.- EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain.- Simulating Spiking Neural Networks based on SW26010pro.- Entropy Based Clustering of Viral Sequences.- A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 18th International Symposium on Bioinformatics Research and Applications, ISBRA 2022, held in Haifa, Israel, in November 14-17, 2022. The 30 full papers and 4 short papers presented in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: AI and disease; computational proteomics; biomedical imaging; drug screening and drug-drug interaction prediction; Biomedical data; sequencing data analysis.
(source: Nielsen Book Data)

• Cover
• Biological Essentialism
• Copyright
• Dedication
• Contents
• Preface
• 1. Resurrecting Biological Essentialism
• 1.1 Introduction
• 1.2 Evidence of the Consensus
• 1.3 An Argument for Intrinsic Biological Essentialism
• 1.4 Relational Species Concepts
• 1.5 A Crucial Distinction
• 1.6 Species Concepts and the Category Problem (2)
• 1.7 BSC, ENC, and the Taxon Problem (1)
• 1.8 The Conspecificity Route to Error about the Taxon Problem (1)
• 1.9 P-CC and the Taxon Problem (1)
• 1.10 Variation and Change
• Variation
• Gradual Change
• Indeterminacy
• Arbitrariness

• Worldmaking"
• Monsters
• Essentialism?
• 1.11 Conclusion
• 2. Defending Partly Intrinsic Taxon Essentialism
• 2.1 Introduction
• 2.2 Clarifications
• 2.3 Three Important Distinctions
• 2.4 Variation
• 2.4.1 The Common Cause Hypothesis
• 2.4.2 Genetic Variations
• 2.4.3 Phenotypic Variations
• 2.4.4 Causes of Phenotypic Properties
• 2.4.5 Complicated Developmental Pathways
• 2.4.6 Disjunctive Developmental Pathways
• 2.4.7 Evolving not Timeless
• 2.5 "The Added Metaphysical Claim"
• 2.6 The Irrelevance of the Species Concepts
• 2.7 The Conspecificity Diagnosis

• 2.8 The Relational View of Conspecificity (R-CON)
• 2.9 The Essence of Implements ("Artifacts")
• 2.10 Godman and Papineau against Partly Intrinsic Taxon Essentialism
• 2.11 The Historical Species Essentialism of Godman, Mallozzi, and Papineau
• 2.11.1 The "More Fundamental Objection"
• 2.11.2 The Positive View
• 2.12 Conclusion
• 3. Historical Biological Essentialism
• 3.1 Introduction
• 3.2 An Argument for Partly Historical Taxon Essentialism
• 3.3 Hypothesis (1): Descended from Certain Particular Actual Organisms

• 3.4 Hypothesis (2): Descended from a Certain Kind of Organism (Which Itself has a Wholly Relational Essence)
• 3.5 Hypothesis (3): Descended from a Certain Kind of Organism with a Partly Intrinsic Essence
• 3.6 Objections: Twin Earth and the Like
• 3.7 Conclusion
• 4. Individual Essentialism in Biology
• 4.1 Introduction
• 4.2 Individual Essentialism: A Kripkean View
• 4.3 An Argument for Partly Intrinsic Individual Essentialism
• 4.4 An Argument for Partly Historical Individual Essentialism
• 4.5 Haecceitism
• 4.6 Essential Membership

• 4.7 Objection 1: The Interbreeding and Ecological Approaches to Species
• 4.8 Objection 2: The Cladistic Approach to Species
• 4.9 Objection 3: Kitcher's "Dumbbell Allopatry"
• 4.10 Objection 4: Higher Taxa
• 4.11 Conclusion
• 5. Type Specimens and Reference
• 5.1 Introduction
• 5.2 The Causal Theory of Reference and Levine's Thesis
• 5.3 The Falsity of Levine's Thesis
• The Case for C1
• 5.4 "But What about the Theory of Reference?"
• The Case for C2
• 5.5 The Causal Theory of Multiple Grounding
• The Case for C3
• 5.6 Philosophical Evaluations of Levine's Thesis
• 5.6.1 Haber

A guidebook to biological individuality, aiming to take readers through contemporary philosophical territory and to identify possible future destinations.

• Préface de Christine Détrez
• Sous la naturalisation, la biologisation ?
• Introduction
• De la médicalisation de la santé aux biologisations ordinaires
• Thizy, J. Vincent, S. Gunes et I. N. Balci
• Pt. 1. La biologisation, un enjeu pour l'histoire des sciences
• 1. La biologisation du social : retour sur les usages d'un concept
• Sébastien Lemerle
• 2. Ambivalences de la biologisation des sexualités "déviantes" dans le DSM
• Camille Bajeux
• Pt. 2. Diagnostic et prise en charge médicale : la biologisation du soin entre théorie et pratique
• 3. La cc biologisation bienveillante" des déprimé•es en clinique privée
• La réception de trois répertoires de légitimation au prisme de la classe et des masculinités
• Marlène Bouvet
• 4. Les orthophonistes face au cerveau des bègues, ou comment biologiser la parole
• Abigail Bourguignon
• 5. Plus d'une biologisation
• Politiques de lutte contre la tuberculose et dépolitisation d'une "maladie sociale" dans la Turquie des années 1950
• Léa Delmaire
• Pt. 3. Le corps féminin procréateur
• 6. Construire un corps hormonal pour suivre les patientes
• La biologisation dans le cadre de la consultation gynécologique
• Aurore Kœchlin
• 7. La césarienne, une pratique "contre-nature" ?
• Biologisation de la naissance et construction du corps maternel
• Maélys Bar
• 8. Démédicaliser la naissance : une biologisation d'un fait social ?
• Marie Gomes et Béatrice Jacques
• Pt. 4. La biologisation au prisme de l'avènement de l'individu ?
• 9. Pas de nature sans classe, ni de classe dénaturée
• Repenser la critique de la biologisation
• Pascal Ducournau
• 10. Standardiser ou personnaliser ?
• La fabrique contemporaine des sujets à l'hôpital
• Dominique Memmi
• Présentation des autrices et auteurs
• Présentation du laboratoire junior Corps Ordonnés.

"Attribuer des sautes d'humeur aux hormones pour mieux refuser la pilule ? Faire du bégaiement un problème cérébral pour déculpabiliser les parents d'enfants bègues ? Envisager la dépression comme un manque de sérotonine auprès de patient• es hospitalisées en psychiatrie ? Voici autant de situations où, dans la relation soignant•e/soigné•e, les répertoires argumentatifs s'appuient prioritairement sur une référence à la biologie, au détriment d'autres types d'interprétations. Ce sont ces importations d'une grille d'analyse biologisante - désignées ici sous le terme de biologisation - qui sont explorées dans cet ouvrage. En se focalisant sur le domaine de la santé, il s'agit de comprendre dans quelle mesure les différents acteurs et actrices de ce champ (individus usagers, puissance publique, professionnel•les...) font appel à "l'argument biologique" pour défendre leurs pratiques et leurs représentations : quand, comment, avec quels effets et à quelles fins sont priorisées des causalités biologiques relativement à des causalités sociales ? Les études de terrains ethnographiques et les réflexions théoriques rassemblées ici s'adressent aux chercheur•es en sciences humaines et sociales mais pourront intéresser plus largement des professionnel.les de santé ou toute personne intéressée par les rapports de pouvoir traversant les questions de soin."--Page 4 of cover.