scholarly journals An inclusive medical model based on the body-mind-spirit trichotomy

2014 ◽  
Vol 37 (3) ◽  
pp. 273-280
Author(s):  
Masahiko Koshida
Keyword(s):  
The Body ◽  
Author(s):  
Joseph M. Iaquinto ◽  
Richard Tsai ◽  
Michael J. Fassbind ◽  
David R. Haynor ◽  
Bruce J. Sangeorzan ◽  
...  

The ability to accurately measure three dimensional (3D) bone kinematics is key to understanding the motion of the joints of the body, and how such motion is altered by injury, disease, and treatment. Precise measurement of such kinematics is technically challenging. Biplane fluoroscopy is ideally suited to measure bone motion. Such systems have been developed in the past for both radiographic stereo-photogrammetric analysis (RSA) [1] and the more challenging model-based analysis [2]. Research groups have studied the knee [3,4], shoulder [5] and ankle [6] motion with similar techniques. The work presented here is an initial evaluation of the performance of our system, i.e., a validation that this in-house system can detect magnitudes of motion on-par with other existing systems.


2013 ◽  
Vol 328 ◽  
pp. 89-92
Author(s):  
Zheng Liu ◽  
Ji Tuo Li ◽  
Guang Chen ◽  
Guo Dong Lu

For acquiring the body measurements precisely and conveniently, this paper presents a forecast method with character parameters. The character parameters are chosen based on factor analysis. The nonlinear model based on radical basis function net builds the correlation between the character parameters and the detailed measurements. Through measuring a few character parameters easily we can obtain the whole body detailed sizes. This technology can be used in and benefit the clothing manufacture and human modeling.


2020 ◽  
Author(s):  
Jakub Onysk ◽  
Peggy Seriès

AbstractEating disorders are associated with one of the highest mortality rates among all mental disorders, yet there is very little research about them within the newly emerging and promising field of computational psychiatry. As such, we focus on investigating a previously unexplored, yet a core aspect of eating disorders – body image preoccupation. We continue a freshly opened debate about model-based learning in eating disorders and perform a study that utilises a two-step decision-making task and a reinforcement learning model to understand the effect of body image preoccupation on model-based learning in a subclinical eating disorder population, as recruited using Prolific. We find a significantly reduced model-based contribution in the body image disturbance task condition in the eating disorder group as compared to a healthy control. We propose a new digital biomarker that significantly predicts disordered eating, and body image issues.


Author(s):  
Junrong LIU

LANGUAGE NOTE | Document text in Chinese; abstract in English only.Sun Muyi’s article provides illuminating views and arguments regarding the proper model of medicine. From Sun’s perspective, the bio-psycho-social model of medicine retains traces of body-mind dualism. It differs from Michel Foucault’s view of the body, which is one of phenomenological holism. That view, as Sun sees it, constitutes a comprehensive philosophical reflection on the modern bio-psycho-social medical model, providing an objective understanding of the unity of body and mind. Sun argues that a religious dimension is inevitably embedded in this objective understanding when establishing a body ethics model of contemporary medicine. This commentary agrees that Sun’s view provides useful reflections on the construction of a proper model of medicine. It is right that we should go beyond the bio-psycho-social medical model to pay more attention to the sick individual him or herself and to strengthen doctor-patient communication regarding the body and human dignity. However, it is also contended that the body ethics model of medicine should constitute a criticism of religious medical models and resist any religious zeal being applied to the study of medical ethics.DOWNLOAD HISTORY | This article has been downloaded 77 times in Digital Commons before migrating into this platform.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Elizabeth DePoy ◽  
Stephen Gilson

Over the past several decades, disability and social work have become increasingly strange bedfellows, in large part due to the espousal of the medical model of disability on the part of social workers. This approach locates disability with the body as a deficit in need of repair, revision, or ongoing professional scrutiny. In opposition to this approach, disability scholars proposed the social model, which holds negative stereotyping and oppression as disabling factors, thereby creating a binary debate on cause and appropriate response to disability. We suggest that this binary is not useful in guiding social work to consider disability as a complex phenomenon, which requires multifaceted action responses. We therefore propose disability as disjuncture. This interactive model synthesizes a wealth of interdisciplinary fields to inform social work analysis and response to disability that meets the goals of advancing individual function, locating disability within a broad diversity dialog, and thus promoting equivalence of rights, choice, and opportunity for full participation for those who fit within the disability category. We conclude with exemplars of the thinking and action processes, guided by disjuncture theory, that illustrate the potency of this framework and its guiding properties for progressive social work disability practice.


2015 ◽  
Vol 31 (2) ◽  
pp. 263-281 ◽  
Author(s):  
Stefano Marchetti ◽  
Caterina Giusti ◽  
Monica Pratesi ◽  
Nicola Salvati ◽  
Fosca Giannotti ◽  
...  

Abstract The timely, accurate monitoring of social indicators, such as poverty or inequality, on a finegrained spatial and temporal scale is a crucial tool for understanding social phenomena and policymaking, but poses a great challenge to official statistics. This article argues that an interdisciplinary approach, combining the body of statistical research in small area estimation with the body of research in social data mining based on Big Data, can provide novel means to tackle this problem successfully. Big Data derived from the digital crumbs that humans leave behind in their daily activities are in fact providing ever more accurate proxies of social life. Social data mining from these data, coupled with advanced model-based techniques for fine-grained estimates, have the potential to provide a novel microscope through which to view and understand social complexity. This article suggests three ways to use Big Data together with small area estimation techniques, and shows how Big Data has the potential to mirror aspects of well-being and other socioeconomic phenomena.


2006 ◽  
Vol 03 (03) ◽  
pp. 341-350
Author(s):  
JEAN-BAPTISTE DE LA RIVIÈRE ◽  
PASCAL GUITTON

As computer vision enables the robot to be aware of its human counterpart, such algorithms could help machines to achieve human-like interaction. However, many video tracking algorithms are not able to cope with some robot vision requirements. The articulated tracking system we develop solves some of those issues. It relies on model-based algorithms, which we believe are more suitable to robot vision than appearance-based ones. Indeed, as they update all the relevant parameters of a surrounding world model, results include some knowledge of the camera and objects relative positions. Our system relies on 3D model silhouette matching and runs in real time. We increase the algorithm robustness by introducing a pre-processing step based on image moments. This allows the iteration refinement to start in a better position by roughly estimating the body motion from one frame to the next.


Author(s):  
Wei XIAO

LANGUAGE NOTE | Document text in Chinese; abstract in English only.Medicine is a value construction. As the combination of a variety of values and methodologies, a medical model can be used to observe and handle medical problems in the field of medicine. Indeed, human understandings of medicine have undergone a long process of historical development. Sun’s “body ethics model of medicine” can be taken as a new medical model in the post-modern context. It is achieved through the combination of the Chinese and Western ethical cultures. In my view, this new model is shaped by three key elements: human nature, the body, and ethical relationships. At the same time, the model points toward an inevitable fact of life: “Politics is nothing but medicine at a larger scale.”DOWNLOAD HISTORY | This article has been downloaded 39 times in Digital Commons before migrating into this platform.


Author(s):  
Yang Wu

In the non-medical model physiological parameter monitoring system, learning the monitoring parameters can improve the diagnostic and prediction accuracy. Aiming at the problems of insufficient information mining and low prediction accuracy in multi-task time series, the supervised and semi-supervised learning methods in machine learning are combined to predict the physiological status of remote health monitoring objects. This method uses the K-means algorithm to cluster the same type of data and use the Multitasking Least Squares Support Vector Machine (MTLS-SVM) to train historical data for trend prediction. In order to evaluate the effectiveness of the method, the MTLS-SVM method is compared with the K-means and MTLS-SVM methods. It can be seen from the experimental results that the body temperature data measured by the GY-MCU90615 is close to that of the digital thermometer. Moreover, the body temperature speed collected by the GY-MCU90615 can reach the millisecond level, which can well meet the needs of the system. The research shows that the method has higher prediction accuracy and has a breakthrough significance for the monitoring of athletes’ physiological parameters.


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