Applications of Biotribology in Biomedical Systems / / edited by Abhishek Kumar, Avinash Kumar, Ashwani Kumar |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (462 pages) |
Disciplina | 610.28 |
Altri autori (Persone) |
KumarAbhishek
KumarAvinash KumarAshwani <1989-> |
Soggetto topico |
Biomedical engineering
Tribology Corrosion and anti-corrosives Coatings Biomedical Engineering and Bioengineering Corrosion |
ISBN | 9783031583278 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to Biotribology: A Science of Surface Interaction -- Characterization of Hydrogel Properties in the Advancement of Biotribology -- Recent Advancements in Developing Nano-biosensors for Treating Inflammatory Diseases of Human: A Comprehensive Overview -- Biological Smart Materials for Cancer Treatment -- Tribological Measurements of Human Skin -- Tribological Hurdles in Biomedical Manufacturing: A Comprehensive Examination -- Navigating the Landscape: Cutting-edge Biomedical Manufacturing Techniques -- Animal Tribology -- Medical Devices Tribology -- Composites for Drug Eluting Devices: Emerging Biomedical Applications -- Biological Smart Biomaterials: Materials for Biomedical Applications -- Bioresorbable Composite for Orthopaedics and Drug Delivery Applications -- Wear and Friction Mechanism Study in Knee and Hip Rehabilitation: A Comprehensive Review -- Challenges and Perspective of Manufacturing Techniques in Biomedical Applications. |
Record Nr. | UNINA-9910869175703321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Deep Learning for Personalized Healthcare Services / / ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee |
Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2021] |
Descrizione fisica | 1 online resource (XVIII, 250 p.) |
Collana | Intelligent Biomedical Data Analysis |
Soggetto topico | COMPUTERS / Social Aspects / General |
Soggetto genere / forma | Electronic books. |
ISBN | 3-11-070812-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Preface -- Acknowledgments -- Contents -- Short Biography of Editors -- List of Contributors -- Deep learning for health and medicine -- Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- Advanced deep learning techniques and applications in healthcare services -- Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- Early cancer predictions using ensembles of machine learning and deep learning -- Deep learning in patient management and clinical decision making -- Patient health record system -- Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- An overview of the technological performance of deep learning in modern medicine -- Index |
Record Nr. | UNINA-9910554282103321 |
Berlin ; ; Boston : , : De Gruyter, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Genetic Enhancement of Crops for Tolerance to Abiotic Stress: Mechanisms and Approaches, Vol. I / / edited by Vijay Rani Rajpal, Deepmala Sehgal, Avinash Kumar, S.N. Raina |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (279 pages) |
Disciplina | 631.5233 |
Collana | Sustainable Development and Biodiversity |
Soggetto topico |
Plant genetics
Plant breeding Agriculture Biotechnology Evolutionary biology Plant Genetics and Genomics Plant Breeding/Biotechnology Evolutionary Biology |
ISBN | 3-319-91956-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Acknowledgements -- 1. Functional Genomics Approach Towards Dissecting out Abiotic Stress Tolerance Trait in Plants; Sneh L. Singla-Pareek -- 2. Plant miRNAome: Cross Talk in Abiotic Stressful Times; P. Suprasanna -- 3. Epigenetic Response of Plants to Abiotic Stress: Nature, Consequences and Applications in Breeding; Manoj. K. Dhar -- 4. Effect of Drought Stress and Utility of Transcriptomics in Identification of Drought Tolerance Mechanisms in Maize; T. Nepolean -- 5. Physiological and Molecular Basis of Abiotic Stress Tolerance in Wheat; H.M. Mamrutha -- 6. Molecular Chaperones: Key Players of Abiotic Stress Response in Plants; A. Pareek -- 7. Role of Chromatin Assembly and Remodeling in Water Stress Responses in Plants; N. Asharaf -- 8. The 'Omics' Approach for Crop Improvement Against Drought Stress; D. Jain -- 9. Genomic Strategies for Improving Abiotic Stress Tolerance in Crop Plants; N.R. Yadav -- 10. Genomics of Arsenic Stress Tolerance in Plants; P.K. Trivedi -- 11. Phytohormones Regulating the Master Regulators of CBF Dependent Cold Stress Signaling Pathway; R. Deswal -- Index. |
Record Nr. | UNINA-9910337952503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Genomics Assisted Breeding of Crops for Abiotic Stress Tolerance, Vol. II / / edited by Vijay Rani Rajpal, Deepmala Sehgal, Avinash Kumar, S.N. Raina |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIV, 260 p. 20 illus., 9 illus. in color.) |
Disciplina | 581.35 |
Collana | Sustainable Development and Biodiversity |
Soggetto topico |
Plant genetics
Plant breeding Agriculture Biotechnology Evolutionary biology Plant Genetics and Genomics Plant Breeding/Biotechnology Evolutionary Biology |
ISBN | 3-319-99573-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Progress towards identification of candidate genes for abiotic stress tolerance in wheat -- 2. Genomics and molecular breeding for improving tolerance to abiotic stress in barley -- 3. Genomics-Assisted Selection for Drought Tolerance in Maize -- 4. Genomics-assisted breeding for enhanced drought tolerance in chickpea (Cicer arietinum L.) -- 5. Genomics assisted approaches for improving abiotic stress tolerance in forage grasses -- 6. Genomics-Assisted Breeding for Drought Tolerance in Cowpea -- 7. Hybrid wheat and abiotic stress tolerance -- 8. Innovative role of DH breeding in genomics assisted-crop improvement: focus on drought tolerance in Wheat -- 9. Field Phenotyping Strategies for Peanut to Drought and Molecular Markers for Crop Improvement -- 10. Developing Climate Resilient Versions of Popular Rice Varieties by Genomics-Assisted Backcross Breeding -- 11. Genomics based approaches for enhancing abiotic stress tolerance in rice -- 12. QTLs for abiotic stress resistance and their effectiveness for breeding in rice -- 13. Molecular aspects of responses to cold stress in temperate fruit crops with emphasis on Rosaceae species -- 14. Genomics-assisted breeding of foxtail millet (Setaria italica) -- 15. Genomics of abiotic stress tolerance in soybeans -- 16. Genetics and Genomics of Stomatal and Epidermal Cell Traits for Improving Drought Tolerance in cereals -- 17. Genomics of abiotic stress response and management in sugarcane. |
Record Nr. | UNINA-9910349456403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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