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Chapters Chapter 1: Introduction to Biology and Genetics Chapter 2: Scientific Method: Uncovering the Truth Chapter 3: Biotechnology: Shaping the Future Chapter 4: Unveiling the Wonders of Animal Life Chapter 5: Molecular Biology: Unraveling the Code Chapter 6: Embracing Technological Innovations in Treatment of newest complex psychological and psychiatric disorders Chapter 7: The Cell: Structure and Function Chapter 8: Microorganisms: Invisible Powerhouses Chapter 9: Genetics: The Blueprint of Life
Chapters Chapter 1: Fundamentals of CAR T Cell Therapy Chapter 2: Mechanistic Insights into CAR T Cells Chapter 3: Clinical Efficacy and Applications Chapter 4: Addressing Challenges and Adverse Effects Chapter 5: Innovations and Future Directions
Chapter1: Definition and history Chapter2: Identify different categories of immunotherapy Chapter3: Immunosuppressors Chapter4: Cytokines Chapter5: Monoclonal antibodies Chapter6: Immunoglobulin Therapy Chapter7: CAR T-cell Therapy Chapter8: Immune Checkpoint Inhibitors Chapter 9: An overview of articles
Chapters Chapter 1: Pathophysiology of Neurodegenerative Diseases: Unraveling the Mechanisms of Alzheimer's and Parkinson's Chapter 2: Hematologic Malignancies: Intersections with Neurological Manifestations and Treatment Implications Chapter 3: Advancing Imaging Techniques: MRI, PET, and Beyond in the Diagnosis of Neurodegenerative and Hematologic Disorders Chapter 4: Deep Learning Applications in Neurology: Enhancing Diagnosis and Predictive Analytics for Alzheimer's and Parkinson's Chapter 5: Synergistic Mechanisms of Neuroinflammation and Cancer: Implications for Dual Pathologies Chapter 6: Future Frontiers in Neuro-oncology: Targeted Therapies and Biomarkers in the Management of Comorbid Conditi
Chapters Chapter 1: Origins - Historical Foundations Chapter 2: Methods - Research Techniques Chapter 3: Neuroscience - Brain Functionality Chapter 4: Behaviorism - Learning Theories Chapter 5: Cognition - Mental Processes Chapter 6: Emotion - Affective Science Chapter 7: Development - Lifespan Psychology Chapter 8: Social Influence - Group Dynamics Chapter 9: Mental Health - Disorders and Treatments Chapter 10: Applications - Psychology in Real Life
Argues that knowledge is a renewable asset and a competitive advantage, and shows ways companies can effectively build and manage knowledge
This book is a comprehensive introduction to text forming resources in English, along with practical procedures for analysing English texts and relating them to their contexts of use. It has been designed to complement functional grammars of English, building on the generation of discourse analysis inspired by Halliday and Hasan's Cohesion in English. The analyses presented were developed within three main theoretical and applied contexts: (i) educational linguistics (especially genre-based literacy programmes) (ii) critical linguistics (as manifested in the development of social semiotics) and (iii) computational linguistics (in dialogue with the various text generation projects based on systemic approaches to grammar and discourse). English Text's major contribution is to outline one way in which a rich semantically oriented functional grammar can be systematically related to a theory of discourse semantics, including deconstruction of contextual issues (i.e. register, genre and ideology). The chapters have been organized with the needs of undergraduate students in theoretical linguistics and postgraduate students in applied linguistics in mind.
Comprehensive and up-to-date, this book focuses on the latest advances in the field, such as newly developed techniques, more environmentally benign processes, broadened scopes, and completely novel MCRs. In addition to carbene-promoted MCRs and frequently applied metal-catalyzed MCRs, it also covers recently developed catalytic enantioselective variants as well as MCR in drug discovery and for the synthesis of heterocyclic molecules and macrocycles. Edited by the leading experts and with a list of authors reading like a "who's who" in multicomponent reaction chemistry, this is definitely a must-have for every synthetic organic chemist as well as medicinal chemists working in academia and pharmaceutical companies.
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time