• Title/Summary/Keyword: combination training

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Healthcare Workers' Knowledge and Attitudes Regarding the World Health Organization's "My 5 Moments for Hand Hygiene": Evidence From a Vietnamese Central General Hospital

  • Van Nguyen, Huy;Tran, Hieu Trung;Khuong, Long Quynh;Van Nguyen, Thanh;Ho, Na Thi Nhi;Dao, An Thi Minh;Van Hoang, Minh
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.4
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    • pp.236-244
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    • 2020
  • Objectives: Although the World Health Organization (WHO) initiative "My 5 Moments for Hand Hygiene" has been lauded as effective in preventing hospital-associated infections, little is known about healthcare workers (HCWs)' hand hygiene behavior. In this study, we sought to assess knowledge and attitudes towards the concepts in this initiative, as well as associated factors, among Vietnamese HCWs at a general hospital. Methods: A structured questionnaire was administered to HCWs at a central Vietnamese general hospital in 2015. Multiple logistic regression analysis was used to identify factors associated with HCWs' knowledge and attitudes towards hand hygiene. Results: Of 120 respondents, 65.8% and 67.5% demonstrated appropriate knowledge and a positive attitude, respectively, regarding all 5 hand hygiene moments. Logistic regression indicated better knowledge of hand hygiene in workers who were over 30 years old, who were direct HCWs (rather than managers), who had frequent access to clinical information, and who received their clinical information from training. Those who worked in infectious and tropical disease wards, who had frequent access to clinical information, and who received information from training were more likely to have a positive attitude towards hand hygiene than their counterparts. Conclusions: Although many Vietnamese HCWs displayed moderate knowledge and positive attitudes towards the WHO hand hygiene guidelines, a key gap remained. Regular education and training programs are needed to increase knowledge and to improve attitudes and practices towards hand hygiene. Furthermore, a combination of multimodal strategies and locally-adapted interventions is needed for sustainable hand hygiene adherence.

Survey of the Present Situation of the Production of Tight Fit Women's Sportswear Top Products (타이트 핏 여성 스포츠 상의 제품 생산현황조사)

  • Jun, Mi-Hwa;Jang, Jeong-Ah
    • Fashion & Textile Research Journal
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    • v.20 no.5
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    • pp.583-591
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    • 2018
  • This study investigated the current production of women's sportswear tights among a total of 813 yoga, gym and training tights on the market to provide basic data for the development of women's sportswear tight tops. The results found the following: First, according to the analysis of women's sportswear tight tops by brand, polyester, nylon and polyurethane were most used. In addition, elastic, breathable and quick-dry, sweat absorbent products were commonly found. In terms of design, crew neck and sleeveless styles were popular. In addition, mesh was frequently applied to the top of the chest and upper part of the back. The size was mostly marked in S, M and L, and the size range was very large by brand. For color, achromatic color was most common. In terms of price, 'KRW 50,000-100,000' was frequently found. Second, yoga tights were compared to gym & training wear. In the case of yoga tights, elastic, various products in diverse design (e.g., crew neck, sleeveless, long sleeve, etc.) and colors (e.g., red, black, etc.) made of breathable and water-absorbing fabric were most produced. In particular, a combination of mesh materials was common. In gym and training wear, crew neck and short-sleeve styles in achromatic color made of elastic, breathable and quick-dry, seat absorbing fabric were most produced.

Exercise training and selenium or a combined treatment ameliorates aberrant expression of glucose and lactate metabolic proteins in skeletal muscle in a rodent model of diabetes

  • Kim, Seung-Suk;Koo, Jung-Hoon;Kwon, In-Su;Oh, Yoo-Sung;Lee, Sun-Jang;Kim, Eung-Joon;Kim, Won-Kyu;Lee, Jin;Cho, Joon-Yong
    • Nutrition Research and Practice
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    • v.5 no.3
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    • pp.205-213
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    • 2011
  • Exercise training (ET) and selenium (SEL) were evaluated either individually or in combination (COMBI) for their effects on expression of glucose (AMPK, PGC- $1{\alpha}$, GLUT-4) and lactate metabolic proteins (LDH, MCT-1, MCT-4, COX-IV) in heart and skeletal muscles in a rodent model (Goto-Kakisaki, GK) of diabetes. Forty GK rats either remained sedentary (SED), performed ET, received SEL, ($5\;{\mu}mol{\cdot}kg$ body $wt^{-1}{\cdot}day^{-1}$) or underwent both ET and SEL treatment for 6 wk. ET alone, SEL alone, or COMBI resulted in a significant lowering of lactate, glucose, and insulin levels as well as a reduction in HOMA-IR and AUC for glucose relative to SED. Additionally, ET alone, SEL alone, or COMBI increased glycogen content and citrate synthase (CS) activities in liver and muscles. However, their effects on glycogen content and CS activity were tissue-specific. In particular, ET alone, SEL alone, or COMBI induced upregulation of glucose (AMPK, PGC-la, GLUT-4) and lactate (LDH, MCT-1, MCT-4, COX-IV) metabolic proteins relative to SED. However, their effects on glucose and lactate metabolic proteins also appeared to be tissue-specific. It seemed that glucose and lactate metabolic protein expression was not further enhanced with COMBI compared to that of ET alone or SEL alone. These data suggest that ET alone or SEL alone or COMBI represent a practical strategy for ameliorating aberrant expression of glucose and lactate metabolic proteins in diabetic GK rats.

Assessing the Extent and Rate of Deforestation in the Mountainous Tropical Forest

  • Pujiono, Eko;Lee, Woo-Kyun;Kwak, Doo-Ahn;Lee, Jong-Yeol
    • Korean Journal of Remote Sensing
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    • v.27 no.3
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    • pp.315-328
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    • 2011
  • Landsat data incorporated with additional bands-normalized difference vegetation index (NDVI) and band ratios were used to assess the extent and rate of deforestation in the Gunung Mutis Nature Reserve (GMNR), a mountainous tropical forest in Eastern of Indonesia. Hybrid classification was chosen as the classification approach. In this approach, the unsupervised classification-iterative self-organizing data analysis (ISODATA) was used to create signature files and training data set. A statistical separability measurement-transformed divergence (TD) was used to identify the combination of bands that showed the highest distinction between the land cover classes in training data set. Supervised classification-maximum likelihood classification (MLC) was performed using selected bands and the training data set. Post-classification smoothing and accuracy assessment were applied to classified image. Post-classification comparison was used to assess the extent of deforestation, of which the rate of deforestation was calculated by the formula suggested by Food Agriculture Organization (FAO). The results of two periods of deforestation assessment showed that the extent of deforestation during 1989-1999 was 720.72 ha, 0.80% of annual rate of deforestation, and its extent of deforestation during 1999-2009 was 1,059.12 ha, 1.31% of annual rate of deforestation. Such results are important for the GMNR authority to establish strategies, plans and actions for combating deforestation.

Estimation of Quantitative Precipitation Rate Using an Optimal Weighting Method with RADAR Estimated Rainrate and AWS Rainrate (RADAR 추정 강수량과 AWS 강수량의 최적 결합 방법을 이용한 정량적 강수량 산출)

  • Oh, Hyun-Mi;Heo, Ki-Young;Ha, Kyung-Ja
    • Korean Journal of Remote Sensing
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    • v.22 no.6
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    • pp.485-493
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    • 2006
  • This study is to combine precipitation data with different spatial-temporal characteristics using an optimal weighting method. This optimal weighting method is designed for combination of AWS rain gage data and S-band RADAR-estimated rain data with weighting function in inverse proportion to own mean square error for the previous time step. To decide the optimal weight coefficient for optimized precipitation according to different training time, the method has been performed on Changma case with a long spell of rainy hour for the training time from 1 hour to 10 hours. Horizontal field of optimized precipitation tends to be smoothed after 2 hours training time, and then optimized precipitation has a good agreement with synoptic station rainfall assumed as true value. This result suggests that this optimal weighting method can be used for production of high-resolution quantitative precipitation rate using various data sets.

The Effect of Computerized Cognitive Program on Cognitive Function and Activities of Daily Living of Stroke Patients (전산화 인지프로그램 적용이 뇌졸중 환자의 인지기능과 일상생활활동에 미치는 영향)

  • Jang, Cheul;Bae, Won-Sik
    • Journal of The Korean Society of Integrative Medicine
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    • v.9 no.4
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    • pp.49-58
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    • 2021
  • Purpose : This study investigates the effects of the application of traditional occupational therapy and the korean computerized cognition training system on the cognitive function and performance of daily activities of stroke patients with cognitive impairment. Methods : From inpatients referred for rehabilitation treatment at L Rehabilitation Hospital located in Busan, 20 patients diagnosed with stroke from April 05. 2021 to May 02. 2021 (study period) were selected, They were divided into two, an experimental group consisting of 10 subjects who underwent a computerized cognitive rehabilitation program and traditional occupational therapy in combination and a control group of 10 subjects who underwent traditional occupational therapy alone. In order to measure the cognitive function of the subjects before the intervention, two assessment tests were conducted: a Neurobehavioral Cognitive Status Examination (NCSE), which evaluates stroke-related cognitive ability, and a Functional Independence Measure (FIM) test, which evaluates life activities. Then, both groups received a total of 20 training sessions at 30 minutes per session, five times a week for four weeks. Results : A statistically significant difference was found in cognitive function between before and after the cognitive training for both the experimental group and the control group. For the FIM scores, statistically significant differences were observed after intervention in the categories of handling personal matters and social cognition, and in the total score. The average scores of the remaining items also improved. Conclusion : The results of this study showed that both the computerized cognition rehabilitation program and the traditional occupational therapy had a positive effect on the improvement of cognitive function in stroke patients.

Review on Exercise Training and Protein Intake in Skeletal Muscle Protein Metabolism (운동훈련과 단백질 섭취에 따른 골격근 단백질 대사: 안정성 동위원소 추적체법을 이용한 연구결과를 중심으로)

  • Shin, Yun-A;Kim, Il-Young
    • Exercise Science
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    • v.26 no.2
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    • pp.103-114
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    • 2017
  • INTRODUCTION: Regulation of skeletal muscle protein mass is implicated not only in exercise performance but in metabolic health. Exercise in combination with nutrition, particularly dietary protein/amino acid intake, are the pragmatic approach that effectively induces muscle anabolic response (i.e., muscle hypertrophy) through regulating protein synthesis and breakdown. PURPOSE: The purpose of this review was to summarize available data on the effect of exercise intervention and amino acids intake on muscle protein synthesis and breakdown and provide an insight into development of an effective exercise intervention and amino acids supplements, applicable to training practice. METHODS: In this review, we have reviewed currently available data mainly from stable isotope tracer studies with respect to the effect of exercise intervention and protein or amino acid supplement on muscle protein anabolic response. CONCLUSIONS: Taken together, exercise alone may not be effective in achieving a positive net muscle protein balance due to the fact that protein breakdown still exceeds protein synthesis until nutrition intake such as protein/amino acids. It appears that muscle anabolic response increases in proportional to the amount of protein intake up to 20 - 35 g depending on quality of protein, age, differences on exercise intensity, duration, and frequency, and individual's training status

Effects of noninvasive electrical stimulation combined trunk stabilization exercise on balance and fall risk in stroke patients (비침습적 전기자극과 결합한 몸통 안정화 운동이 뇌졸중 환자의 균형 및 낙상 효능감에 미치는 영향)

  • Shuang-yan, Liu;Dae-jung, Yang;Jong-hyok, Yun
    • The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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    • v.28 no.3
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    • pp.61-68
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    • 2022
  • Background: This study aimed to investigate the effects of noninvasive electrical stimulation combined with trunk stabilization exercise on balance and fall risk in patients with stroke. Methods: Twenty-two patients with stroke were enrolled in the study and randomly divided into experimental and control groups, each with 11 patients. noninvasive electrical stimulation combined with trunk stabilization training was applied to the experimental group, and sham noninvasive electrical stimulation combined with trunk stabilization training, to the control group. Both groups were treated for 6 weeks, five times a week for 30 min each time; the balance and fall risk of patients with stroke were measured before and after treatment, and the changes in the two groups were compared and analyzed. Results: The experimental group's left and right weight-bearing indices (affect and non-affect sides) and the front and rear weight-bearing indices, were significantly improved (p<.05, p<.001). when the changes in balance ability between groups were compared before and after treatment. The total fall efficacy score in the experimental group was substantially lower than that in the control group when the changes in fall efficacy score were compared between groups following treatment (p<.001). Conclusion: The improvement in balance and fall risk in patients with stroke can be attributed to using noninvasive electrical stimulation in combination with trunk stabilization training. This clinically helpful treatment method for patients with stroke warrants further promotion and implementation in the clinic.

A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks

  • Ashok, J;Sowmia, KR;Jayashree, K;Priya, Vijay
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.520-541
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    • 2023
  • In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.

Combination of 18F-Fluorodeoxyglucose PET/CT Radiomics and Clinical Features for Predicting Epidermal Growth Factor Receptor Mutations in Lung Adenocarcinoma

  • Shen Li;Yadi Li;Min Zhao;Pengyuan Wang;Jun Xin
    • Korean Journal of Radiology
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    • v.23 no.9
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    • pp.921-930
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    • 2022
  • Objective: To identify epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma based on 18F-fluorodeoxyglucose (FDG) PET/CT radiomics and clinical features and to distinguish EGFR exon 19 deletion (19 del) and exon 21 L858R missense (21 L858R) mutations using FDG PET/CT radiomics. Materials and Methods: We retrospectively analyzed 179 patients with lung adenocarcinoma. They were randomly assigned to training (n = 125) and testing (n = 54) cohorts in a 7:3 ratio. A total of 2632 radiomics features were extracted from the tumor region of interest from the PET (1316) and CT (1316) images. Six PET/CT radiomics features that remained after the feature selection step were used to calculate the radiomics model score (rad-score). Subsequently, a combined clinical and radiomics model was constructed based on sex, smoking history, tumor diameter, and rad-score. The performance of the combined model in identifying EGFR mutations was assessed using a receiver operating characteristic (ROC) curve. Furthermore, in a subsample of 99 patients, a PET/CT radiomics model for distinguishing 19 del and 21 L858R EGFR mutational subtypes was established, and its performance was evaluated. Results: The area under the ROC curve (AUROC) and accuracy of the combined clinical and PET/CT radiomics models were 0.882 and 81.6%, respectively, in the training cohort and 0.837 and 74.1%, respectively, in the testing cohort. The AUROC and accuracy of the radiomics model for distinguishing between 19 del and 21 L858R EGFR mutational subtypes were 0.708 and 66.7%, respectively, in the training cohort and 0.652 and 56.7%, respectively, in the testing cohort. Conclusion: The combined clinical and PET/CT radiomics model could identify the EGFR mutational status in lung adenocarcinoma with moderate accuracy. However, distinguishing between EGFR 19 del and 21 L858R mutational subtypes was more challenging using PET/CT radiomics.