• Title/Summary/Keyword: Weight-based discrimination

Search Result 29, Processing Time 0.028 seconds

Understanding and Exploring Weight-Based Bias, Stigma, and Discrimination (비만에 대한 편견, 낙인, 차별 및 이에 대한 개선 방안)

  • Kayoung Lee
    • Archives of Obesity and Metabolism
    • /
    • v.2 no.1
    • /
    • pp.1-5
    • /
    • 2023
  • The importance of weight discrimination for people with obesity has been highlighted by research which has found that more than 40% of those living with obesity have experienced weight discrimination. Evidence suggests that weight bias among obese individuals puts their health at risk more than health issues caused by obesity itself. Although bias, stigma, and discrimination towards individuals living with obesity are factors that make it difficult for them to lose weight, weight bias and stigma among healthcare professionals are common, causing individuals living with obesity to avoid treatment and potentially exacerbating obesity-related health issues. The concept that one's own efforts matter contributes to stigma, discrimination, and bias. This issue will be more frequent among primary care providers treating individuals living with obesity; thus, it is important to acknowledge the issues of bias, stigma, and discrimination towards individuals living with obesity and to seek out solutions. In this review, I will discuss the concept of weight bias, stigma, and discrimination, the problems they cause, and seek solutions to weight prejudice, stigma, and discrimination.

Link Weight Discrimination Analysis based Design of Input Nodes in ANN Models for Bankruptcy Prediction: Strong-Linked Neurons Selection and Weak-Linked Neurons Elimination Approach (연결강도판별분석에 의한 부도예측용 신경망 모형의 입력노드 설계 : 강체연결뉴론 선정 및 약체연결뉴론 제거 접근법)

  • 이웅규;손동우
    • Proceedings of the Korea Inteligent Information System Society Conference
    • /
    • 2000.11a
    • /
    • pp.469-477
    • /
    • 2000
  • 본 연구에서는 부도예측용 인공신경망 모형의 입력노드를 선정하기 위한 방법론으로 연결강도판별분석(Link Weight Discrimination Analysis)에 의한 약체뉴론제거법(Weak-Linked Neuron Elimination)과 강체뉴론선택법 (Strong-Linked Neurons Selection)을 제안한다. 연결강도판별분석이란 적절한 학습이 끝난 인공신경망 모형에서 입력노드와 연결되는 가중치의 합에 대한 절대값인 연결강도 판별식(Link Weight Discrimination)에 의해 해당 입력노 드가 출력노드에 미치는 영향정도를 분석하는 것이다. 한편 강체연결뉴론선택법은 선처리를 통해 얻어진 학습된 인공신경망의 입력노드 가운데서 연결강도판별식이 큰 뉴론만을 본처리의 입력노드로 선정하는 것인데 비해 약체연결뉴론제거법은 연결강도판별식이 일정 값 즉, 연결강도 판별임계치(Link Weight Discrimination Cut off Value) 보다 낮은 입력노드를 제외하고 나머지 입력노드만을 본처리의 입력노드로 선정하는 것이다. 본 연구에서는 강체연결뉴론선택법과 약체연결뉴론제거법을 각각 정형적인 방법론으로 정립하고 이 방법론에 의해 부도예측용 인공신경망을 구축하여 각각의 모형을 의사결정트리에 의해 선정된 인공신경망 모형 및 선처리 과정을 거치지 않은 인공신경망 모형과 성능을 비교, 분석하여 본 연구에서 제안한 방법론의 타당성을 제시하였다.

  • PDF

Gender discrimination and multivariate analysis using deboning data

  • Shim, Joon-Yong;Kim, Ha-Yeong;Cho, Byoung-Kwan;Lee, Wang-Hee
    • Proceedings of the Korean Society for Agricultural Machinery Conference
    • /
    • 2017.04a
    • /
    • pp.23-23
    • /
    • 2017
  • Recent favor on high quality food and concern on food safety have demonstrated the superiority of Hanwoo (Korean native cattle). In general, the price of cow is higher than those of steer and bull, causing cheating issues in the market. Hence, this study is to discriminate genders of Hanwoo with identification of factors which highly influence gender discrimination based on the big-size deboning data. Totally, there were 31 variables in the deboning data, and we divided into them two categories: data obtained before and after deboning. Discriminant function analysis was then applied into the data to determined the accuracy of gender discrimination in Hanwoo. The result showed that Hanwoo could be classified by gender with 99.2% of accuracy when using all 31 variables. In detail, it was possible to identify 93 of 94 bulls (98.9%), 96 of 96 cows (100%) and 74 of 75 steers (98.7%). The most significant variables was chuck, sirloin, armbone shin, plates, retail and cuts percentage, sequentially. With variables obtainable before deboning, accuracies of classification were 91.5% for bulls, 92.7% for cows, and 89.3% for steers. The most significant variables was water, cold carcass weight and back-fat thickness. The discrimination accuracy was higher with data obtainable after deboning: bulls (98.9%), cows (99.0%) and steers (98.7%). In this case, chuck, sirloin and armbone shin were the factors determined the classification ability. This study showed that Hanwoo can be classified based on deboning data with appropriate statistics, further suggesting weight of cut of beef might be the standard for gender classification.

  • PDF

Discriminator of Similar Documents Using Syntactic and Semantic Analysis (구문의미분석를 이용한 유사문서 판별기)

  • Kang, Won-Seog;Hwang, Do-Sam;Kim, Jung H.
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.3
    • /
    • pp.40-51
    • /
    • 2014
  • Owing to importance of document copyright the need to detect document duplication and plagiarism is increasing. Many studies have sought to meet such need, but there are difficulties in document duplication detection due to technological limitations with the processing of natural language. This thesis designs and implements a discriminator of similar documents with natural language processing technique. This system discriminates similar documents using morphological analysis, syntactic analysis, and weight on low frequency and idiom. To evaluate the system, we analyze the correlation between human discrimination and term-based discrimination, and between human discrimination and proposed discrimination. This analysis shows that the proposed discrimination needs improving. Future research should work to define the document type and improve the processing technique appropriate for each type.

Upper Body Somatotype Classification and Discrimination of Elderly Women according to Index (지수치를 이용한 노년 여성의 상반신 체형 분류와 판별에 관한 연구)

  • 김수아;최혜선
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.28 no.7
    • /
    • pp.983-994
    • /
    • 2004
  • The aim of this study is to provide fundamental data on the development of ready-to-wear clothes appropriate for the body types of elderly women. The study was conducted targeting 318 elderly women over 60 years of age whose fields of action were colleges for the elderly, sports centers, or business sites in Seoul and the neighboring districts. A total of 44 features in the upper body were used for the anthropometric measurement and analysis using anthropometry and photometry. The results of the study are as follows: 1. Somatotypes were classified into three types according to a cluster analysis using height and weight indices. Type 1 is the group with long and undersized upper body and straight body type since the face of the upper body is long relative to height and width, girth and depth are the smallest relative to weight, the breasts are somewhat fat, with a small extent of drooping and a straight back. Type 2 is the group that is considered fat relative to the body, has broad shoulders, drooping breasts with a wide space between them, and a back-bent upper body. Type 3 is the group that has a bent shape, the shortest upper body relative to height, and showing average obesity factors. 2. Indices of height and weight were used for factor analysis, cluster analysis, and discriminant analysis in order to classify upper body somatotype according to shape while excluding size factors of elderly women's upper body somatotype. The same method was used to compare and verify the result according to the absolute measurement and height index. Classification based on height and weight indices demonstrate that such somatotype classification minimizes the personal equation of body shape and it induces better classification based on shape as the results showed the highest cumulative sum of square(CUSUM) at 78.38% while six factors showed the smallest result and the hit rate for the classified three groups showed the highest result at 95.30%.

Fluorescence Properties of Size Fractions of Dissolved Organic Matter Originated From Different Sources (생성 기원에 따른 용존 자연유기물질 분자량별 형광특성 비교)

  • Hur, Jin;Park, Min-Hye
    • Journal of Korean Society on Water Environment
    • /
    • v.23 no.4
    • /
    • pp.482-489
    • /
    • 2007
  • Fluorescence properties and carbohydrate content were investigated using ultrafiltrated size fractions of dissolved organic matters (DOM) originated from different sources. The materials included a treated sewage, an algal organic matter, and a soil leachate, all of which are major constituents of dissolved organic matter in a typical urban river. Four different size fractions were separated from the three sources of each DOM. The size distribution demonstrated that a higher molecular weight fraction was more present in soil leachate compared to two other source DOMs. A higher content of carbohydrates was observed in the following order - algal DOM > treated sewage > soil leachate. A wide range of specific UV absorbance was observed from size fractions of a single source DOM, indicating that aromatic carbon structures are heterogeneously distributed within one source of DOM. The structural heterogeneity was the most pronounced for the soil leachate. The fluorescence index ($F_{450}/F_{500}$) of the treated sewage was similar to that (2.0) typically obtained from autochthonous DOM, suggesting that the treated sewage exhibited autochthonous organic matter-like properties. No protein-like fluorescence intensities were observed for all of the soil leachate size fractions whereas they were observed with two other source DOMs. Based upon the fluorescence peak ratios from fluorescence excitation-emission matrix (EEM), two discrimination indices could be suggested to distinguish three different source DOMs. It is expected that the suggested discrimination indices will be useful to predict the sources of DOM in a typical urban river affected by treated sewage.

Weight Control and its Related Factors among Children: A Gender-based Approach (아동의 성별에 따른 체중 조절 실태 및 관련 요인에 관한 연구)

  • Kim, Yu-Jeong
    • Journal of the Korean Home Economics Association
    • /
    • v.45 no.4
    • /
    • pp.113-122
    • /
    • 2007
  • The purpose of this study was to investigate weight control and the relative influence of individual variables affecting children's attempts to control weight. The study subjects were 319 elementary school children. First, the average body height and weight of the children who participated in this study was somewhat larger in boys and similar in girls, as compared with the normal body shape of Korean children. More boys were classified as overweight than girls, based on BMI. Both boys and girls were dissatisfied with their body shape, and especially the girls showed higher dissatisfaction rate than the boys did. Almost half of the children were concerned about weight control and girls had higher concern than boys. Of the children, 38.8% had controlled their weight; however there was no difference between their sexes. There were significant differences between children who had and had not experienced weight control in the following variables: stress caused by obesity, body satisfaction, BMI, subjective body shape perception and concern about weight control. Therefore, discriminant function analysis was performed to determine the discrimination of these variables between the two groups. From the analysis results, the most critical factor was BMI in the boys and concern about weight control in the girls. This finding should be reflected in the design of weight control programs for children i.e., boys should be encouraged to perceive correctly their own body shape and to control weight by maintaining a well-balanced diet and moderate exercise over a long period of time, rather than by skipping meals, while girls should be inspired with sound values and attitudes regarding their body shape, rather than provided with the concrete information on how to control weight.

Weight-based Wellbeing Food Retrieval System (가중치 기반 웰빙식품 정보 검색 시스템)

  • Pyun, Gwang-Bum;Yun, Un-Il;Ryu, Keun-Ho
    • Journal of Internet Computing and Services
    • /
    • v.11 no.3
    • /
    • pp.75-86
    • /
    • 2010
  • As the interests in health grow higher, necessity of Well-being relation informations get more importance. We get the information of well-being, tinternet retrieval system or blog, homepage and media. Although, it is not easy to find informations of well-being food. So, retrieval system has been requiring information about well-being food. In this paper, Weight-based Wellbeing Food Retrieval System is designed and implemention. Finding numerous pages and if well-being keywords includes page, it was identified and add weight. User searching for keywords, it implement, well-being food pages comes at the first. Keywords for discrimination makes type of dictionary, so it can insert, delete, modify. Inverted files saves hasing(direct-based file). Retrieval System in this paper is experimental result, at keywords of well-being food show 5~15% imprement than another Retrieval System. In this paper, Weight-based Wellbeing Food Retrieval System's designed and proposed way to raking for well-being food.

Conjugates of Enkephalin Analogs: Synthesis and Discrimination of μ and δ Opioid Receptors Based on Membrane Compartment Concept

  • Hong, Nam-Joo;Jin, Dong-Hoon;Hong, Eun-Young
    • Bulletin of the Korean Chemical Society
    • /
    • v.30 no.3
    • /
    • pp.599-607
    • /
    • 2009
  • A series of conjugated cyclic and linear enkephalin analogs, Tyr-c[D-A2bu-Gly-Phe-Asp(NH-X)], where X = methyl, stearyl or$ PEG_350$, and Tyr-D-Ala-Gly-Phe-Cys(S-X), where X = methyl, octyl, or farnesyl, were synthesized in solution to investigate the receptor selectivity of opioids based on Schwyzer's membrane compartment $concepts.^{5,6}$ Cyclizations of the target compounds were achieved in high yields (> 60%) employing BOP, $NaHCO_3$ in DMF despite the steric hindrance of the bulky pendant groups. In the binding assay, the hydrophobic fatty acyl conjugates retained $\mu$-receptor selectivity. The unsaturated farnesyl conjugate exhibited the increased binding affinity than the saturated stearyl conjugate for both $\mu$-and $\delta$-opioid receptors. The PEG conjugates displayed the $\delta$-receptor selectivity. The low molecular weight $PEG_350$ conjugate exhibited the increase selectivity than the high molecular weight $PEG_5000$ conjugate to the $\delta$-receptor. The results of this study support the membrane compartment concepts.

A Pattern Classification Method using Closest Decision Method in k Nearest Neighbor Prototypes (k 근방 원형상에서 최근접 결정법을 이용한 패턴식별법)

  • Kim, Eung-Kyeu;Lee, Soo-Jong
    • Proceedings of the IEEK Conference
    • /
    • 2008.06a
    • /
    • pp.833-834
    • /
    • 2008
  • In this paper, a pattern classification method using closest decision method based on the mean of norm in the closet prototype from an input pattern and its k nearest neighbor prototypes is presented to do accurate classification in arbitrary distributed patterns when the number of patterns is very low. Also this method can be used to classify input pattern precisely when the number patterns is very low because this method considers the weight by the difference of variance in prototypes around the discrimination boundary.

  • PDF