| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910790687003321 |
|
|
Autore |
Lewis Michael <1937 January 10-> |
|
|
Titolo |
The rise of consciousness and the development of emotional life / / Michael Lewis |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
New York : , : The Guilford Press, , [2014] |
|
©2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
1-4625-1263-1 |
1-4625-1264-X |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (370 p.) |
|
|
|
|
|
|
Classificazione |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Machine generated contents note: 1. Studying Emotional Development -- 2. Deconstructing Emotions: Elicitors, Action Patterns, and Experiences -- 3. Multiple Emotions and Moods -- 4. The Early Emotions -- 5. The Rise of Consciousness -- 6. The Transforming Role of Consciousness: Self-Conscious Emotions, Social Relationships, and Mentalism -- 7. Lying and Deception in Emotional Life -- 8. The Self-Conscious Emotions -- 9. Temperament, Emotion, and Stress -- 10. The Socialization of Emotion -- 11. Emotional Development Gone Awry -- 12. The Fugue. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Synthesizing decades of influential research and theory, Michael Lewis demonstrates the centrality of consciousness for emotional development. At first, infants' competencies constitute innate reactions to particular physical events in the child's world. These ""action patterns"" are not learned, but are readily influenced by temperament and social interactions. With the rise of consciousness, these early competencies become reflected feelings, giving rise to the self-conscious emotions of empathy, envy, and embarrassment, and, later, shame, guilt, and pride. Focusing on typically develop |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910882898003321 |
|
|
Autore |
Awojoyogbe Bamidele O |
|
|
Titolo |
Digital Molecular Magnetic Resonance Imaging / / by Bamidele O. Awojoyogbe, Michael O. Dada |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2024.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (365 pages) |
|
|
|
|
|
|
Collana |
|
Series in BioEngineering, , 2196-887X |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Nuclear magnetic resonance |
Biomedical engineering |
Machine learning |
Cancer - Imaging |
Neural networks (Computer science) |
Biophysics |
Magnetic Resonance (NMR, EPR) |
Biomedical Engineering and Bioengineering |
Machine Learning |
Cancer Imaging |
Mathematical Models of Cognitive Processes and Neural Networks |
Bioanalysis and Bioimaging |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
General Introduction -- Physics Informed Neural Networks PINNS -- New Methodology and Modelling In Magnetic Resonance Imaging -- Physics informed Neural Network for Addressing Spatial and Temporal -- Machine Learning Model for Diagnosis of Pulmonary Arterial Hypertension -- A Convolution Neural Network for Artificial Intelligence-Based Classification of Alzheimer’s Diseases -- Physics informed Neural Networks for Nuclear Magnetic Resonance Guided Clinical Hyperthermia. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to |
|
|
|
|
|
|
|
|
|
|
innovations that will help patients and healthcare providers alike. It enhances the capabilities of MRI anatomical visualization to a level that has never before been possible for researchers and clinicians. The computational and digital algorithms developed can enable a more thorough understanding of the intricate structures found within the human body, surpassing the constraints of traditional 2D methods. The Physics-informed Neural Networks as presented can enhance three-dimensional rendering for deeper understanding of the spatial relationships and subtle abnormalities of anatomical features and sets the stage for upcoming advancements that could impact a wider range of digital heath modalities. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years. |
|
|
|
|
|
| |