The Medicalized Body and Anesthetic Culture : The Cadaver, the Memorial Body, and the Recovery of Lived Experience / / by Brent Dean Robbins

• Record Nr.: UNINA9910298062603321
• Autore: Robbins Brent Dean
• Pubbl/distr/stampa: New York : , : Palgrave Macmillan US : , : Imprint : Palgrave Macmillan, , 2018
• ISBN: 9781349953561; 1349953563
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (346 pages)
• Disciplina: 615.781
• Soggetti: Critical psychology; Emotions; Psychology; Social sciences - History; Social medicine; Critical Psychology; Emotion; History of Psychology; Medical Sociology
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 1. The Medicalized Body and Anesthetic Culture -- 2. Confronting the Cadaver: The Denial of Death in Modern Medicine -- 3. Time and Efficiency in the Age of Calculative Rationality: A Metabletic Entry Point -- 4. The Zombie Body of Linear Perspective Vision -- 5. Applications of Terror Management Theory -- 6. Terror Management in Medical Culture -- 7. Dehumanization in Modern Medicine and Science -- 8. Objectification of the Body as a Terror Management Defense -- 9. The Objectification of Women and Nature -- 10. The Role of the Medical Cadaver in the Genesis of Enlightenment-Era Science and Technology -- 11. A Theological Context -- 12. The Changing Nature of the Cadaver -- 13. Anesthetic Culture -- 14. Psychiatry's Collusion with Anesthetic Culture -- 15. Mindfulness-the Way of the Heart.
• Sommario/riassunto: This book examines how modern medicine's mechanistic conception of the body has become a defense mechanism to cope with death anxiety. Robbins draws from research on the phenomenology of the body, the history of cadaver dissection, and empirical research in terror management theory to highlight how medical culture operates as an agent which promotes anesthetic consciousness as a habit of perception. In short, modern medicine's comportment toward the cadaver promotes the suppression of the memory of the person who donated their body. This suppression of the memorial body comes at the price of concealing the lived, experiential body of patients in medical practice. Robbins argues that this style of coping has influenced Western culture and has helped to foster maladaptive patterns of perception associated with experiential avoidance, diminished empathy, death denial, and the dysregulation of emotion. .

Pattern Recognition : 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 – October 1, 2021, Proceedings / / edited by Christian Bauckhage, Juergen Gall, Alexander Schwing

• Record Nr.: UNINA9910520073703321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• ISBN: 3-030-92659-1
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (734 pages)
• Collana: Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 13024
• Disciplina: 006.4
• Soggetti: Pattern recognition systems; Machine learning; Computer vision; Computer engineering; Computer networks; Social sciences - Data processing; Education - Data processing; Automated Pattern Recognition; Machine Learning; Computer Vision; Computer Engineering and Networks; Computer Application in Social and Behavioral Sciences; Computers and Education
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Machine Learning and Optimization -- Sublabel-Accurate Multilabeling Meets Product Label Spaces -- InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization -- Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise -- Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data -- Revisiting Consistency Regularization for Semi-Supervised Learning -- Learning Robust Models Using the Principle of Independent Causal Mechanisms -- Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks -- Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators -- End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition -- Investigating the Consistency of Uncertainty Sampling in Deep Active Learning -- ScaleNet: An Unsupervised Representation Learning Method for Limited Information -- Actions, Events, and Segmentation -- A New Split for Evaluating True Zero-Shot Action Recognition -- Video Instance Segmentation with Recurrent Graph Neural Networks -- Distractor-Aware Video Object Segmentation -- (SP)^2Net for Generalized Zero-Label Semantic Segmentation -- Contrastive Representation Learning for Hand Shape Estimation -- Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks -- FIFA: Fast Inference Approximation for Action Segmentation -- Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision -- A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting -- Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing -- Spatiotemporal Outdoor Lighting Aggregation on Image Sequences -- Generative Models and Multimodal Data -- AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style -- Learning Conditional Invariance through Cycle Consistency -- CAGAN: Text-To-Image Generation with Combined Attention Generative Adversarial Networks -- TxT: Crossmodal End-to-End Learning with Transformers -- Diverse Image Captioning with Grounded Style -- Labeling and Self-Supervised Learning -- Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-Labeling -- Quantifying Uncertainty of Image Labelings Using Assignment Flows -- Implicit and Explicit Attention for Zero-Shot Learning -- Self-Supervised Learning for Object Detection in Autonomous Driving -- Assignment Flows and Nonlocal PDEs on Graphs -- Applications -- Viewpoint-Tolerant Semantic Segmentation for Aerial Logistics -- T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression -- TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases -- Detecting Slag Formations with Deep Convolutional Neural Networks -- Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture -- Weakly Supervised Segmentation Pre-training for Plant Cover Prediction -- How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? -- 3D Modeling and Reconstruction -- Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric -- CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds -- Zero-Shot ; remote sensing image super resolution based on image continuity and self-tessellations -- A Comparative Survey of Geometric Light Source Calibration Methods -- Quantifying point cloud realism through adversarially learned latent representations -- Full-Glow: Fully conditional Glow for more realistic image generation -- Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. .
• Sommario/riassunto: This book constitutes the refereed proceedings of the 43rd DAGM German Conference on Pattern Recognition, DAGM GCPR 2021, which was held during September 28 – October 1, 2021. The conference was planned to take place in Bonn, Germany, but changed to a virtual event due to the COVID-19 pandemic. The 46 papers presented in this volume were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: machine learning and optimization; actions, events, and segmentation; generative models and multimodal data; labeling and self-supervised learning; applications; and 3D modelling and reconstruction.