• 제목/요약/키워드: Index model

검색결과 5,621건 처리시간 0.043초

Effect of diabetes-specific oral nutritional supplements with allulose on weight and glycemic profiles in overweight or obese type 2 diabetic patients

  • Jihye Tak;Minkyung Bok;Hyunkyung Rho;Ju Hyun Park;Yunsook Lim;Suk Chon;Hyunjung Lim
    • Nutrition Research and Practice
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    • 제17권2호
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    • pp.241-256
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    • 2023
  • BACKGROUND/OBJECTIVES: Diabetes-specific oral nutritional supplements (ONS) have anti-hyperglycemic effects, while D-allulose exerts anti-diabetic and anti-obesity effects. In this study, we investigated the efficacy and safety of diabetes-specific ONS, including allulose, on glycemic and weight changes in overweight or obese patients with type 2 diabetes mellitus (T2DM). SUBJECTS/METHODS: A single-arm, historical-control pilot clinical trial was conducted on 26 overweight or obese patients with T2DM (age range: 30-70 yrs). The participants were administered 2 packs of diabetes-specific ONS, including allulose (200 kcal/200 mL), every morning for 8 weeks. The glycemic profiles, obesity-related parameters, and lipid profiles were assessed to evaluate the efficacy of ONS. RESULTS: After 8 weeks, fasting blood glucose (FBG) level significantly decreased from 139.00 ± 29.66 mg/dL to 126.08 ± 32.00 mg/dL (P = 0.007) and glycosylated hemoglobin (HbA1c) improved (7.23 ± 0.82% vs. 7.03 ± 0.69%, P = 0.041). Moreover, the fasting insulin (δ: -1.81 ± 3.61 μU/mL, P = 0.017) and homeostasis model assessment for insulin resistance (HOMA-IR) (δ: -0.87 ± 1.57, P = 0.009) levels decreased at 8 weeks, and body weight significantly decreased from 67.20 ± 8.29 kg to 66.43 ± 8.12 kg (P = 0.008). Body mass index (BMI) also decreased in accordance with this (from 25.59 ± 1.82 kg/m2 to 25.30 ± 1.86 kg/m2, P = 0.009), as did waist circumference (δ: -1.31 ± 2.04 cm, P = 0.003). CONCLUSIONS: The consumption of diabetes-specific ONS with allulose in overweight or obese patients with T2DM improved glycemic profiles, such as FBG, HbA1c, and HOMA-IR, and reduced body weight and BMI.

Role of soy lecithin combined with soy isoflavone on cerebral blood flow in rats of cognitive impairment and the primary screening of its optimum combination

  • Hongrui Li;Xianyun Wang;Xiaoying Li;Xueyang Zhou;Xuan Wang;Tiantian Li;Rong Xiao;Yuandi Xi
    • Nutrition Research and Practice
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    • 제17권2호
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    • pp.371-385
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    • 2023
  • BACKGROUND/OBJECTIVES: Soy isoflavone (SIF) and soy lecithin (SL) have beneficial effects on many chronic diseases, including neurodegenerative diseases. Regretfully, there is little evidence to show the combined effects of these soy extractives on the impairment of cognition and abnormal cerebral blood flow (CBF). This study examined the optimal combination dose of SIF + SL to provide evidence for improving CBF and protecting cerebrovascular endothelial cells. MATERIALS/METHODS: In vivo study, SIF50 + SL40, SIF50 + SL80 and SIF50 + SL160 groups were obtained. Morris water maze, laser speckle contrast imaging (LSCI), and hematoxylin-eosin staining were used to detect learning and memory impairment, CBF, and damage to the cerebrovascular tissue in rat. The 8-hydroxy-2'-deoxyguanosine (8-OHdG) and the oxidized glutathione (GSSG) were detected. The anti-oxidative damage index of superoxide dismutase (SOD) and glutathione (GSH) in the serum of an animal model was also tested. In vitro study, an immortalized mouse brain endothelial cell line (bEND.3 cells) was used to confirm the cerebrovascular endothelial cell protection of SIF + SL. In this study, 50 µM of Gen were used, while the 25, 50, or 100 µM of SL for different incubation times were selected first. The intracellular levels of 8-OHdG, SOD, GSH, and GSSG were also detected in the cells. RESULTS: In vivo study, SIF + SL could increase the target crossing times significantly and shorten the total swimming distance of rats. The CBF in the rats of the SIF50 + SL40 group and SIF50 + SL160 group was enhanced. Pathological changes, such as attenuation of the endothelium in cerebral vessels were much less in the SIF50 + SL40 group and SIF50 + SL160 group. The 8-OHdG was reduced in the SIF50 + SL40 group. The GSSG showed a significant decrease in all SIF + SL pretreatment groups, but the GSH showed an opposite result. SOD was upregulated by SIF + SL pretreatment. Different combinations of Genistein (Gen)+SL, the secondary proof of health benefits found in vivo study, showed they have effective anti-oxidation and less side reaction on protecting cerebrovascular endothelial cell. SIF50 + SL40 in rats experiment and Gen50 + SL25 in cell test were the optimum joint doses on alleviating cognitive impairment and regulating CBF through protecting cerebrovascular tissue by its antioxidant activity. CONCLUSIONS: SIF+SL could significantly prevent cognitive defect induced by β-Amyloid through regulating CBF. This kind of effect might be attributed to its antioxidant activity on protecting cerebral vessels.

Analysis of Research Trends in Information Literacy Education Using Keyword Network Analysis and Topic Modeling (키워드 네트워크 분석과 토픽모델링을 활용한 정보활용교육 연구 동향 분석)

  • Jeong-Hoon, Lim
    • Journal of the Korean Society for information Management
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    • 제39권4호
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    • pp.23-48
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    • 2022
  • The purpose of this study is to investigate the flow of domestic information literacy education research using keyword network analysis and topic modeling and to explore the direction of information literacy education in the future. For this reason, 306 academic papers related to information literacy education published in academic journals of the library and information science field in Korea were chosen. And through the preprocessing process for abstracts of the paper, total keyword appearance frequency, keyword appearance frequency by period, and keyword simultaneous occurrence frequency were analyzed. Subsequently, keyword network analysis analyzed the degree centrality, between centrality, and eigenvector centrality of keywords. Using structural topic modeling analysis, 15 topics -curriculum, information literacy effect, contents of information literacy education, school library education, information media literacy, information literacy ability evaluation index, library anxiety, public library program, health information literacy ability, digital divide, library assisted instruction improvement, research trend, information literacy model, and teacher role-were derived. In addition, the trend of topics by year was analyzed to confirm the change in relative weight by topic. Based on these results, the direction of information literacy education and the suggestions for follow-up research were presented.

Optimization of O/W Emulsion with Natural Surfactant Extracted from Medicago sativa L. using CCD-RSM (CCD-RSM을 이용한 알팔파 추출물인 천연계면활성제가 포함된 O/W 유화액의 최적화)

  • Seheum Hong;Jiachen Hou;Seung Bum Lee
    • Applied Chemistry for Engineering
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    • 제34권2호
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    • pp.137-143
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    • 2023
  • In this study, natural surfactants were extracted from Medicago sativa L. The O/W emulsification processes with the extracted natural surfactants were optimized using central composite design model-response surface methodology (CCD-RSM) and a 95% confidence interval was used to confirm the reasonableness of the optimization. Herein, independent parameters were the ratio of saponins to total surfactant (P), amount of surfactant (W), and emulsification speed (R), whereas the reaction parameters were the emulsion stability index (ESI), mean droplet size (MDS), and viscosity (V). Using the multiple reaction, the optimal conditions for the ratio of saponins to total surfactant, amount of surfactant, and emulsification speed for O/W emulsification were 49.5%, 9.1 wt%, and 6559.5 rpm, respectively. Under these optimal conditions, the expected values of ESI, MDS, and V as the reaction parameters were 89.9%, 1058.4 nm, and 1522.5 cP, respectively. The values of ESI, MDS, and V from these expected values were 88.7%, 1026.4 nm, and 1486.5 cP, respectively, and the average experimental error for validating the accuracy was about 2.3 (± 0.4)%. Therefore, it was possible to design an optimization process for evaluating the O/W emulsion process with Medicago sativa L. using CCD-RSM.

Developing system of forest habitat quality assessment for endangered species (멸종위기 야생생물 산림 서식지 질적 평가 체계 개발)

  • Kwang Bae Yoon;Sunryoung Kim;Seokwan Cheong;Jinhong Lee;Jae Hwa Tho;Seung Hyun Han
    • Korean Journal of Environmental Biology
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    • 제40권3호
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    • pp.307-315
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    • 2022
  • In terms of habitat conservation, it is essential to develop a habitat assessment system that can evaluate not only the suitability of the current habitat, but also the health and stability of the habitat. This study aimed to develop a methodology of habitat quality assessment for endangered species by analyzing various existing habitat assessment methods. The habitat quality assessment consisted of selecting targeted species, planning of assessment, selecting targeted sites, assessing performance, calculating grade, and expert verification. Target sites were selected separately from core and potential habitats using a species distribution model or habitat suitability index. Habitat assessment factors were classified into ecological characteristic, landscape characteristic, and species-habitat characteristic. Ecological characteristic consisted of thirteen factors related to health of tree, vegetation, and soil. Landscape characteristic consisted of five factors related to fragment and connectivity of habitat. Species-habitat characteristic consisted of factors for evaluating habitat suitability depending on target species. Since meanings are different depending on characteristics, habitat quality assessment of this study could be used by classifying results for each characteristic according to various assessment purposes, such as designation of alternative habitats, assessment of restoration project, and protected area valuation for endangered species. Forest habitat quality assessment is expected to play an important role in conservation acts of endangered species in the future through continuous supplementation of this system in regard to quantitative assessment criteria and weighting for each factor with an influence.

Deep Learning based Estimation of Depth to Bearing Layer from In-situ Data (딥러닝 기반 국내 지반의 지지층 깊이 예측)

  • Jang, Young-Eun;Jung, Jaeho;Han, Jin-Tae;Yu, Yonggyun
    • Journal of the Korean Geotechnical Society
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    • 제38권3호
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    • pp.35-42
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    • 2022
  • The N-value from the Standard Penetration Test (SPT), which is one of the representative in-situ test, is an important index that provides basic geological information and the depth of the bearing layer for the design of geotechnical structures. In the aspect of time and cost-effectiveness, there is a need to carry out a representative sampling test. However, the various variability and uncertainty are existing in the soil layer, so it is difficult to grasp the characteristics of the entire field from the limited test results. Thus the spatial interpolation techniques such as Kriging and IDW (inverse distance weighted) have been used for predicting unknown point from existing data. Recently, in order to increase the accuracy of interpolation results, studies that combine the geotechnics and deep learning method have been conducted. In this study, based on the SPT results of about 22,000 holes of ground survey, a comparative study was conducted to predict the depth of the bearing layer using deep learning methods and IDW. The average error among the prediction results of the bearing layer of each analysis model was 3.01 m for IDW, 3.22 m and 2.46 m for fully connected network and PointNet, respectively. The standard deviation was 3.99 for IDW, 3.95 and 3.54 for fully connected network and PointNet. As a result, the point net deep learing algorithm showed improved results compared to IDW and other deep learning method.

A Study of Information Communication Technology's impact on Culture and Management: Focusing on Hofstede's Cultural Dimension (정보통신기술이 문화와 경영에 미치는 영향에 관한 연구 : 홉스테드 모델을 중심으로)

  • Kim, Hak-Cho;Lee, Ji-Seok
    • Korea Trade Review
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    • 제41권1호
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    • pp.91-116
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    • 2016
  • This study proposes a research model to investigate the effect of ICT on national culture and values. Why should we research the relationship between ICT and culture? We do this to shed light on the cultural framework and find areas for further research. This research has found that the development of Information Communication Technology(ICT) has proved to have a positive effect on the quality of individualism (B0.603), there is a decrease in power distance index(B-0.331)and a correlation between individualism and wealth. Also, the development of Information Communication Technology(ICT) has proved to have a positive effect on the quality of Long Term Orientation. As for adoption and use of ICT, the role of culture is important for many reasons. First of all, we can recognize the importance of national culture and organizational culture in establishing the ability of the overall culture to adapt, efficiently merging with different cultures and overcoming potential obstacles of these tasks. This is the evidence supporting the current theory. Our research shows that development of technology highly influences deep human values. Furthermore, the data points used in this research are from World Economic Forum, World Development Indicator and International Telecommunication Union. In order to understand and develop social evolution and progress, we tried to use data that is fair and verifiable.

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Association between Participation in a Rehabilitation Program and 1-Year Survival in Patients Requiring Prolonged Mechanical Ventilation

  • Wanho Yoo;Myung Hun Jang;Sang Hun Kim;Soohan Kim;Eun-Jung Jo;Jung Seop Eom;Jeongha Mok;Mi-Hyun Kim;Kwangha Lee
    • Tuberculosis and Respiratory Diseases
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    • 제86권2호
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    • pp.133-141
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    • 2023
  • Background: The present study evaluated the association between participation in a rehabilitation program during a hospital stay and 1-year survival of patients requiring at least 21 days of mechanical ventilation (prolonged mechanical ventilation [PMV]) with various respiratory diseases as their main diagnoses that led to mechanical ventilation. Methods: Retrospective data of 105 patients (71.4% male, mean age 70.1±11.3 years) who received PMV in the past 5 years were analyzed. Rehabilitation included physiotherapy, physical rehabilitation, and dysphagia treatment program that was individually provided by physiatrists. Results: The main diagnosis leading to mechanical ventilation was pneumonia (n=101, 96.2%) and the 1-year survival rate was 33.3% (n=35). One-year survivors had lower Acute Physiology and Chronic Health Evaluation (APACHE) II score (20.2±5.8 vs. 24.2±7.5, p=0.006) and Sequential Organ Failure Assessment score (6.7±5.6 vs. 8.5±2.7, p=0.001) on the day of intubation than non-survivors. More survivors participated in a rehabilitation program during their hospital stays (88.6% vs. 57.1%, p=0.001). The rehabilitation program was an independent factor for 1-year survival based on the Cox proportional hazard model (hazard ratio, 3.513; 95% confidence interval, 1.785 to 6.930; p<0.001) in patients with APACHE II scores ≤23 (a cutoff value based on Youden's index). Conclusion: Our study showed that participation in a rehabilitation program during hospital stay was associated with an improvement of 1-year survival of PMV patients who had less severe illness on the day of intubation.

Effects of Nonverbal Communication of Flight Attendants on Customer Engagement and Brand Intimacy (항공사 승무원의 비언어 커뮤니케이션이 고객 인게이지먼트 및 브랜드 친밀감에 미치는 영향)

  • Yuna Choi;Namho Chung
    • Knowledge Management Research
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    • 제24권2호
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    • pp.185-209
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    • 2023
  • The air travel industry, which had shrunk with COVID-19, is gaining wings again. Accordingly, this study investigated whether non-verbal communication factors experienced through interaction with airline flight attendants for passengers who have traveled abroad within the past year through domestic airlines affect customer engagement and brand intimacy. A total of 285 samples were collected, and SPSS 28 and AMOS 26 programs were used to verify the reliability and validity of the research tool, the suitability of the model, and hypotheses. As a result of the empirical study analysis, it was confirmed that Paralanguage and Proxemics in non-verbal communication of flight attendants had a significant effect on customer engagement. Although it is different from the results of previous studies following changes in perspective after COVID-19, it once again confirmed the importance of airline crew communication in providing face-to-face services at the interface with passengers. In order to induce customer engagement, which is a new customer satisfaction management index. In addition, it was confirmed that customer engagement has a significant effect on brand intimacy. These results support the view that it is necessary to establish new customer management indicators of emotion and relationship marketing in the existing marketing centered on price reduction or securing loyalty. It was confirmed that interactions with flight attendants can contribute to customer engagement, and these results have important implications for those working in the air transportation industry.

Hybrid Structural Health Monitoring of Steel Plate-Girder Bridges using Acceleration-Impedance Features (가속도-임피던스 특성을 이용한 강판형교의 하이브리드 구조건전성 모니터링)

  • Hong, Dong-Soo;Do, Han-Sung;Na, Won-Bae;Kim, Jeong-Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • 제29권1A호
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    • pp.61-73
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    • 2009
  • In this paper, hybrid health monitoring techniques using acceleration-impedance features are newly proposed to detect two damage-type in steel plate-girder bridges, which are girder's stiffness-loss and support perturbation. The hybrid techniques mainly consists of three sequential phases: 1) to alarm the occurrence of damage in global manner, 2) to classify the alarmed damage into subsystems of the structure, and 3) to estimate the classified damage in detail using methods suitable for the subsystems. In the first phase, the global occurrence of damage is alarmed by monitoring changes in acceleration features. In the second phase, the alarmed damage is classified into subsystems by recognizing patterns of impedance features. In the final phase, the location and the extent of damage are estimated by using modal strain energy-based damage index method and root mean square deviation (RMSD) method. The feasibility of the proposed hybrid technique is evaluated on a laboratory-scaled steel plate-girder bridge model for which hybrid acceleration-impedance signatures were measured for several damage scenarios. Also, the effect of temperature on the accuracy of the impedance-based damage monitoring results are experimentally examined from combined scenarios of support damage cases and temperature changes.