Biology, life sciences Books

Book SynopsisHCSeer: A Classification Tool for Human Genetic Variant Hot and Cold Spots Designed for PM1 and Benign Criteria in the ACMG Guideline.- ViDSG: A Hybrid Algorithm Integrating Statistical and Semantic Features via Dual-Channels for Identifying Prokaryotic and Eukaryotic Viruses.- MoGE: A Benchmark for Comprehensive Evaluation of Molecular Generation Models in De Novo Drug Design.- Dual-Modality Representation Learning for Molecular Property Prediction.- GDMRMD: An Ensemble Model for Predicting RNA Modification-Disease Associations.- SUIFS: A Symmetric Uncertainty based Interactive Feature Selection Method.- TF-GCNNovo: A Peptide Sequence Prediction Model Integrating Transformer and Graph Convolutional Network.- FSPicker: A Dual-Stream Attention Network for Multi-Scale Particle Picking in Cryo-Electron Tomography.- SDMFF: Spatial-temporal Dual-pathway Network with Multi-scale Feature Fusion for Parkinson’s Disease Diagnosis.- RNA-ModCaller: A Multi Feature Fusion and Stacking Ensemble Learning Framework for Prediction of RNA Modifications.- Efficient and Accurate Approximation Algorithms for Protein Structure Alignment.- Multi-Task Learning with Cross-Stitch for Synergistic Effect of Drug Combination Prediction.- A Neighborhood Selection Learning Artificial Bee Colony Algorithm Based on Population Backtracking for Detecting Epistatic Interactions.- PDA-GTGCN: identification of piRNA-disease associations based on group feature transformation graph convolutional network.- DDLB: Using the protein language model and hierarchical architecture to improve disordered lipid-binding residues prediction.- EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection.- RGMI: a multimodal graph framework with dynamic weighting for measuring disease similarity.- LDADW: An algorithm for integrating single-cell and spatial transcriptomic data based on the topic model.- Adaptive Fusion of Global and Local Representations for Neoantigen Retention Time Prediction through Hierarchical Sequence-Graph Hybridization.- MambaST: Hexagonal State Space Modeling for Spatial Domain Identification.- On Multiple Protein Scaffold Filling.- RGNCNDDA: Predicting Potential Drug-Disease Associations via Residual Graph Normalized Convolutional Network.- Spindle-UMamba: A Mamba-based Attention-Unet Framework for Effective Sleep Spindle Detection.- CADS: Causal Inference for Dissecting Essential Genes to Predict Drug Synergy.- A Novel Sample Selection for Deep Learning Model in Computational Drug Repositioning.- SGMDTI: A unified framework for drug-target interaction prediction by semantic-guided meta-path method.- TREPP: Tandem Repeat Expansion Pathogenicity Predicting Approach Using Stacked CatBoost Models and Multiple Features.- EMF: Enhancing Mortality Risk Prediction via Evidential Multimodal Fusion.- Contrastive Learning-based Method for Single-cell Multi-omics Data Clustering.- Intelligent algorithms of action recognition for cardiopulmonary resuscitation based on wearable device.- Label-guided graph contrastive learning for single-cell fusion clustering.- A Graph Convolution-Based Method for dental Image Registration.- DepMambaformer: Integrating Bidirectional State Space Duality  Model with Multimodal Attention for Depression Detection.

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Book SynopsisNanosensors in the agricultural system the current understanding, role, and prospects.- Precision agriculture and nanosensors.- Gold nanomaterials and composites-based nanosensors for agricultural sectors.- Silver nanomaterials and composites-based nanosensors for agricultural sectors.- Various metal oxide-based nanosensors for agricultural sectors.- Nanosensors and their role in pheromones detection.- Nanosensors and their role in fertilizers, herbicides, pesticides, and insecticides detection.- Nanosensors for the detection of agricultural soil microbes.- Nanosensors and their role in soil quality, moisture, pH, contaminants, and other molecules detection.- Nanosensors for heavy metal pollution detection in agricultural system.- Nanosensors for wastewater treatment and disinfection.- Nanosensors and their role in bioremediation.- Nanosensors and their role in the recycling of agricultural wastes.- Nano-based herbicides and pesticides for sustainable agricultural practice.- Magnetic nanosensors for sustainable agricultural practice.- Chemical nanosensors for sustainable agricultural practice.- Electrochemical nanosensors for sustainable agricultural practice.- Nanosensors for irrigation management.- Nanosensors, climate change and agricultural sectors.- Commercial nanosensors for agriculture sectors.- Role of nanosensors in agri-food sectors.- Toxicology and safety aspects of nanosensor agriculture sectors.

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Book SynopsisChapter 1. Flow cytometry: historical perspectives, fundamentals, past and present instrumentations and applications.- Section 1. Instrumentation.- Chapter 2. Instrumental and experimental quality control in flow cytometry.- Chapter 3. Redox landscape in flow cytometry.- Section 2. Applications in basic sciences.- Chapter 4. Unravelling biological complexities through flow cytometric applications.- Chapter 5. Illuminating cell dynamics: the versatility of flow cytometry in molecular biology analysis.- Chapter 6. Instrumental role of flow cytometry in molecular biology advancements.- Chapter 7. Flow cytometry: revolutionizing cellular analysis in spectral and microfluidic dimensions.- Chapter 8. Immunological kaleidoscope: flow cytometry's colorful insight into cells.- Chapter 9. Flow cytometric immunophenotyping of leukocytes and neutrophils subsets in bone marrow, peripheral blood and liver tissue.- Chapter 10. Flow cytometric analysis of plant nuclear DNA content in plant homogenates.- Chapter 11. Flow cytometry in microbiological sciences.- Section 3. Applications in clinical and transplantation sciences.- Chapter 12. Applications of flow cytometry in scientific research and the clinic.- Chapter 13. Flow cytometric monitoring of the redox status in health and disease.- Chapter 14. multi-color flow cytometry in medical research: a versatile tool to evaluate the rare immune cells in the pathogenesis of chronic viral infections.- Chapter 15. Flow cytometry approach to differentiate resident versus infiltrated macrophages in atherosclerosis.- Chapter 16. Cytokine analysis in leukemia and minimal residual disease (mrd) detection through flow cytometry.- Chapter 17. Flow cytometry in transplantation.- Chapter 18. Applications of flow cytometry in transplant medicine.- Chapter 19. Flow cytometry based residual disease monitoring in haematolymphoid neoplasm.- Chapter 20. Clinical significance of flow cytometry in solid organ transplantation.- Section 4. Translational, stem cells and regenerative studies.- Chapter 21. An introduction to multiparametric flow cytometry in translational research.- Chapter 22. Stem cels and micro vesicles analysis.- Chapter 23. Translational flow cytometry for repopulating cells in regenerative medicine.- Section 5.- Chapter 24. Flow cytometry in drug design and delivery.- Chapter 25. Flow cytometry in toxicology:illuminating cellular responses.- Section 6. Flow cytometry and environmental studies.- Chapter 26. Exploring the role and potential of flow cytometry in advancing environmental research.- Chapter 27. Role of flow cytometry in the analysis of micro/nano plastics.

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Book Synopsis1. Current approaches on metabolomics.- 2. Applications of computational and data sciences in metabolomics.- 3. Design of biosynthetic pathway for production of metabolites.- 4. Dissecting Cellular Heterogeneity: Single-Cell Metabolomics for Unmasking Hidden Variations.- 5. Biosensors for Detection of Metabolites.- 6. Unveiling the Molecular Fingerprint: Mass Spectrometry in Metabolomics.- 7. Utilizing HPLC for Efficient Metabolite Purification.- 8. NMR Spectroscopy for Characterisation of Metabolite.- 9. Transcriptional control for metabolite production.- 10. Microfluids in metabolites detection, production, and optimization.- 11. Cell free systems in metabolomics.- 12. Unlocking the Metabolome: A Guide to Genome Editing for Precision Control of Cellular Chemistry.- 13. Production and Fermentation Optimization of Flavour and Fragrance Molecules.- 14. Bioprocessing and Purification of Metabolites.- 15. Scaling Up Nature's Chemistry: A Guide to Industrial Production of Valuable Metabolites.- 16. Regulatory, economic and educational issues in metabolomics.

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Book SynopsisSection I: Smart techniques for waste management.- 1.Waste pollution and management: Current challenges and future perspectives.- 2. Potential of Smart sensors and smart waste bins in smart waste management.- 3. Robotics in waste management: A smart technique to segregate, recycle, and recover electronic waste.- 4. Potential of Radio-frequency identification (RFID) technology in smart waste management.- 5. Role of machine learning and artificial intelligence in smart waste management.- 6. Application of Remote sensing and GIS in effective waste management.- Section II: Ecotechnological approaches for sustainable waste management.- 7. Sustainable management of food waste by composting.- 8. Vermitechnology: A green technology to manage and recover nutrients from municipal waste.- 9. Advanced biotechnological approaches for the management of plastic waste.- 10. Production of green energy from agricultural waste using advanced thermochemical and biological approaches: a step towards circular economy.- 11. Safe disposal and utilization of fly-ash from municipal waste incinerators for better environmental management.- 12. Biohydrogen production from sewage sludge: Mechanistic insights and factors involved.- Section III: Smart biotechnologies for wastewater management.- 13. Potential of Artificial intelligence in monitoring and predicting effluent quality.- 14. Membrane Bioreactors: A highly advanced biotechnological approach to manage emerging contaminants from industrial wastewater.- 15. Aquatic macrophytes: Role as biomarkers in water pollution detection and as potential agents for removing contaminants from wastewater environments.- 16. Recent advances in enhanced biological nitrogen and phosphorus removal from wastewater.- 17. Potential of nano-biotechnology in remediation of emerging toxicants from wastewater.- 18. Microbial engineering and their potential in remediation of heavy metals from wastewater: Mechanism and factors involved.- 19. Microalgae: A novel low-cost biotechnological approach in detoxification and remediation of radioactive waste from wastewater.- 20. Nano-plastics in wastewater: Monitoring, ecotoxicity and remediation.- 21. Advanced biotechnological approaches for the biodegradation and detoxification of dyes from textile industrial effluents.- 22. Harmful pathogens and pharmaceutical residues: Ecotoxicity and management from wastewater.- 23. Microbial electrolysis: An emerging biotechnology for energy production and wastewater treatment.

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