Deconstructing empathy

2002 ◽  
Vol 25 (1) ◽  
pp. 31-32 ◽  
Author(s):  
John N. Constantino
Keyword(s):  
Clinical Research ◽  
Social Relationship ◽  
Proposed Model

Under Preston & de Waal's proposed model, empathy might be regarded as everything that determines the quality of a social relationship. Although the authors provide a useful heuristic for understanding relationships, clinical research efforts with a somewhat narrower focus have provided some additional insights into this topic, which might lead to testable hypotheses regarding the neurobiology of empathy.

scholarly journals Bi-Labeled LDA: Inferring Interest Tags for Non-famous Users in Social Network

2019 ◽  
Vol 5 (1) ◽  
pp. 27-47 ◽  
Author(s):  
Jun He ◽  
Hongyan Liu ◽  
Yiqing Zheng ◽  
Shu Tang ◽  
Wei He ◽  
...  
Keyword(s):  
Social Network ◽  
Social Relationship ◽  
Web Search ◽  
Topic Model ◽  
Online Advertising ◽  
User Interest ◽  
Probabilistic Topic Model ◽  
Proposed Model ◽  
Text Information

AbstractUser tags in social network are valuable information for many applications such as Web search, recommender systems and online advertising. Thus, extracting high quality tags to capture user interest has attracted many researchers’ study in recent years. Most previous studies inferred users’ interest based on text posted in social network. In some cases, ordinary users usually only publish a small number of text posts and text information is not related to their interest very much. Compared with famous user, it is more challenging to find non-famous (ordinary) user’s interest. In this paper, we propose a probabilistic topic model, Bi-Labeled LDA, to automatically find interest tags for non-famous users in social network such as Twitter. Instead of extracting tags from text posts, tags of non-famous users are inferred from interest topics of famous users. With the proposed model, the formulation of social relationship between non-famous users and famous user is simulated and interest tags of famous users are exploited to supervise the training of the model and to make use of latent relation among famous users. Furthermore, the influence of popularity of famous user and popular tags are considered, and tags of non-famous users are ranked based on random walk model. Experiments were conducted on Twitter real datasets. Comparison with state-of-the-art methods shows that our method is more superior in terms of both ranking and quality of the tagging results.

Social Relationship Item Bank to Measure Health-Related Quality of Life

2019 ◽  
Author(s):  
Yu Heng Kwan ◽  
Elenore Judy Uy ◽  
Dianne Carro Bautista ◽  
Xiaohui Xin ◽  
Yunshan Xiao ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Relationship ◽  
Item Bank ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

scholarly journals Quality of life of schizophrenic patients in a tertiary care hospital in Bangladesh

2017 ◽  
Vol 29 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Mir Hasan Shakil Mahmud ◽  
Bushra Yeasmin ◽  
Shipra Mandal
Keyword(s):  
Quality Of Life ◽  
Physical Health ◽  
Environmental Health ◽  
Social Relationship ◽  
World Health ◽  
P Value ◽  
Health Domain ◽  
Schizophrenic Patients ◽  
Physical Health Domain

Schizophrenia is one of the major mental disorders which affect individual’s thinking ability, social interaction or attention. It affects person’s entire quality of life. The purpose of the study was to find out the quality of life of schizophrenic patient in Bangladesh. Cross sectional study design was used to conduct this study. The convenient sampling procedure was used throughout the process of participant’s selection and the numbers of respondents were 83. The study was carried out at National Institute of Mental Health and Hospital (NIMH), Dhaka. Data was collected by using face to face interview with a structured questionnaire WHOQOL-BREF (The World Health Organization Quality of Life- BREF) scale. It was found that most of the participants lead poor to moderate quality of life in four domains of the WHOQOL-BREF scale. Results showed that mean scores were for physical health (mean 2.7, SD+0.106); psychological health (mean 2.108, SD +0.0787); social relationship (mean 2.226; SD+0.116) and environmental health (mean 2.47; SD+0.077).This study indicated that, quality of life poor on psychological domain. It was also found statistically significance with age and social relationship domain (p value 0.005< 0.05); marital status and physical health domain (p value 0.004<0.05); educational level and physical health domain (p value 0.005<0.05) and environmental health domain (p value 0.025<0.05). There were no statistically significant difference between gender and other variables. Schizophrenia affects all aspects of person’s life such as physically, psychologically, socially and economically. Schizophrenic patients as well as their family members led very poor quality of life.Bang J Psychiatry June 2015; 29(1): 30-34

scholarly journals Nodule Detection with Convolutional Neural Network Using Apache Spark and GPU Frameworks

2021 ◽  
Vol 11 (6) ◽  
pp. 2838
Author(s):  
Nikitha Johnsirani Venkatesan ◽  
Dong Ryeol Shin ◽  
Choon Sung Nam
Keyword(s):  
Neural Network ◽  
Radiation Dose ◽  
Convolutional Neural Network ◽  
Model Performance ◽  
Performance Comparison ◽  
Apache Spark ◽  
Training Time ◽  
Learning Framework ◽  
Proposed Model

In the pharmaceutical field, early detection of lung nodules is indispensable for increasing patient survival. We can enhance the quality of the medical images by intensifying the radiation dose. High radiation dose provokes cancer, which forces experts to use limited radiation. Using abrupt radiation generates noise in CT scans. We propose an optimal Convolutional Neural Network model in which Gaussian noise is removed for better classification and increased training accuracy. Experimental demonstration on the LUNA16 dataset of size 160 GB shows that our proposed method exhibit superior results. Classification accuracy, specificity, sensitivity, Precision, Recall, F1 measurement, and area under the ROC curve (AUC) of the model performance are taken as evaluation metrics. We conducted a performance comparison of our proposed model on numerous platforms, like Apache Spark, GPU, and CPU, to depreciate the training time without compromising the accuracy percentage. Our results show that Apache Spark, integrated with a deep learning framework, is suitable for parallel training computation with high accuracy.

scholarly journals Quality of life in primary sclerosing cholangitis: a systematic review

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Elena Marcus ◽  
Paddy Stone ◽  
Anna-Maria Krooupa ◽  
Douglas Thorburn ◽  
Bella Vivat
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Clinical Research ◽  
Disease Progression ◽  
Primary Sclerosing Cholangitis ◽  
Sclerosing Cholangitis ◽  
Small Sample ◽  
Limited Evidence ◽  
Research Studies

Abstract Background Primary sclerosing cholangitis (PSC) is a rare bile duct and liver disease which can considerably impact quality of life (QoL). As part of a project developing a measure of QoL for people with PSC, we conducted a systematic review with four review questions. The first of these questions overlaps with a recently published systematic review, so this paper reports on the last three of our initial four questions: (A) How does QoL in PSC compare with other groups?, (B) Which attributes/factors are associated with impaired QoL in PSC?, (C) Which interventions are effective in improving QoL in people with PSC?. Methods We systematically searched five databases from inception to 1 November 2020 and assessed the methodological quality of included studies using standard checklists. Results We identified 28 studies: 17 for (A), ten for (B), and nine for (C). Limited evidence was found for all review questions, with few studies included in each comparison, and small sample sizes. The limited evidence available indicated poorer QoL for people with PSC compared with healthy controls, but findings were mixed for comparisons with the general population. QoL outcomes in PSC were comparable to other chronic conditions. Itch, pain, jaundice, severity of inflammatory bowel disease, liver cirrhosis, and large-duct PSC were all associated with impaired QoL. No associations were found between QoL and PSC severity measured with surrogate markers of disease progression or one of three prognostic scoring systems. No interventions were found to improve QoL outcomes. Conclusion The limited findings from included studies suggest that markers of disease progression used in clinical trials may not reflect the experiences of people with PSC. This highlights the importance for clinical research studies to assess QoL alongside clinical and laboratory-based outcomes. A valid and responsive PSC-specific measure of QoL, to adequately capture all issues of importance to people with PSC, would therefore be helpful for clinical research studies.

scholarly journals Quality of Life Prior and in the Course of the COVID-19 Pandemic: A Nationwide Cross-Sectional Study with Brazilian Dietitians

2021 ◽  
Vol 18 (5) ◽  
pp. 2712
Author(s):  
Raquel Adjafre da Costa Matos ◽  
Rita de Cassia Coelho de Almeida Akutsu ◽  
Renata Puppin Zandonadi ◽  
Raquel Braz Assunção Botelho
Keyword(s):  
Quality Of Life ◽  
Psychological Health ◽  
Social Relationship ◽  
Healthcare Professionals ◽  
Life Quality ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chi Squared

Dietitians as healthcare professionals could decrease their quality of life during the SARS-COV-2 pandemic period; therefore, this study aimed to compare Brazilian dietitians’ perceptions of quality of life before and during the pandemic. This nationwide cross-sectional research aimed to evaluate Brazilian dietitians’ quality of life before and in the course of the COVID-19 pandemic, using a previously validated self-administered instrument WHO-QOL-BREF in Brazilian-Portuguese. The questionnaire was composed of 26 items (four domains) to evaluate life quality (physical, psychological, social relationship, and environment). The questionnaire also presented some sociodemographic variables and three questions about the COVID-19 pandemic. It was applied using GoogleForms® platform (Google LLC, Mountain View, CA, USA). For the statistical analysis of data, Paired T-test, Chi-squared test, and Analysis of Variance were used. A total of 1290 Brazilian dietitians replied to the instrument. Comparing quality of life (QoL) before SARS-COV-2 (3.83 ± 0.59) and during the pandemic (3.36 ± 0.66), data was statistically different. Comparing prior and in the course of the COVID-19 pandemic, all variables and domains presented statistical differences (better before the pandemic period). Among Brazilian dietitians, the psychological health domain was the most affected. The Sars-Cov-2 pandemic negatively impacted the QoL of Brazilian dietitians since health professionals face changes in their lives because of work.

scholarly journals Key Determinants of Airline Loyalty Modeling in Thailand

2020 ◽  
Vol 12 (10) ◽  
pp. 4165 ◽  
Author(s):  
Dissakoon Chonsalasin ◽  
Sajjakaj Jomnonkwao ◽  
Vatanavongs Ratanavaraha
Keyword(s):  
Airline Industry ◽  
Structural Equation ◽  
Statistical Significance ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Structural Factors ◽  
Proposed Model ◽  
Airline Passengers ◽  
Domestic Airline

The airline industry in Thailand has grown enormously over the past decade. Competition among airline companies to reach market share and profit has been intense, requiring strong strategic abilities. To increase the service quality of such companies, identifying factors related to the context of airlines is important for policymakers. Thus, this study aims to present empirical data on structural factors related to the loyalty of domestic airline passengers. Structural equation modeling was used to confirm the proposed model. The questionnaire was used to survey and collect data from 1600 airline passengers. The results indicate that satisfaction, trust, perceived quality, relationship, and image of airlines positively influenced loyalty with a statistical significance of α = 0.05. Moreover, the study found that expectation and perceived quality indirectly influenced loyalty. The findings provide a reference for airline operators to clearly understand the factors that motivate passenger loyalty, which can be used to develop the sustainability of marketing strategies and support competitiveness.

A Hybrid Inpainting Model Combining Diffusion and Enhanced Exemplar Methods

2021 ◽  
Vol 13 (3) ◽  
pp. 1-19
Author(s):  
Sreelakshmy I. J. ◽  
Binsu C. Kovoor
Keyword(s):  
Patch Size ◽  
Image Inpainting ◽  
Qualitative Evaluation ◽  
Natural Images ◽  
External Information ◽  
Image Editing ◽  
Model Combining ◽  
Proposed Model ◽  
The World

Image inpainting is a technique in the world of image editing where missing portions of the image are estimated and filled with the help of available or external information. In the proposed model, a novel hybrid inpainting algorithm is implemented, which adds the benefits of a diffusion-based inpainting method to an enhanced exemplar algorithm. The structure part of the image is dealt with a diffusion-based method, followed by applying an adaptive patch size–based exemplar inpainting. Due to its hybrid nature, the proposed model exceeds the quality of output obtained by applying conventional methods individually. A new term, coefficient of smoothness, is introduced in the model, which is used in the computation of adaptive patch size for the enhanced exemplar method. An automatic mask generation module relieves the user from the burden of creating additional mask input. Quantitative and qualitative evaluation is performed on images from various datasets. The results provide a testimonial to the fact that the proposed model is faster in the case of smooth images. Moreover, the proposed model provides good quality results while inpainting natural images with both texture and structure regions.

Subjective social class, perceived quality of social relationships, and happiness: A case of mediation and moderation across gender

2020 ◽  
Vol 35 (3) ◽  
pp. 312-335
Author(s):  
Jae-Woo Kim ◽  
Chaeyoon Lim ◽  
Christina Falci
Keyword(s):  
Social Class ◽  
Social Status ◽  
Relationship Quality ◽  
Social Relationships ◽  
Social Relationship ◽  
Perceived Quality ◽  
Mediating Effect ◽  
Men And Women ◽  
Subjective Social Class

This study investigates the link between social relationship and subjective well-being in the context of social stratification. The authors examine how perceived quality of social relationships and subjective social class are linked to self-reported happiness among men and women in South Korea. The study finds that one’s perception of relative social standing is positively associated with happiness independently of objective indicators of socioeconomic status, while social relationship quality strongly predicts the happiness among both men and women. However, the mediation pathway and moderating effects vary by gender. For men, the nexus between subjective social class and happiness is partially mediated by the quality of interpersonal relationships. No similar mediating effect is found among women. The study also finds gender difference in whether the link between social relationship quality and happiness varies by subjective social class. The happiness return to positive social relationships increases as men’s subjective social status becomes higher, which is consistent with the resource multiplication hypothesis. No similar moderation effect is found among women. Combined, these results reveal potentially different pathways to happiness across gender in Korea, where social status competition, collectivistic culture, and patriarchal gender relations are salient in daily life.

Sign in / Sign up

Export Citation Format

Share Document