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    Pertanika Journal of Science & Technology

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    Pertanika Journal of Science & Technology

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    ๋Œ€์‚ฌ ์ˆ˜์ˆ ์„ ํ†ตํ•œ ํฌ๋„๋‹น ํ•ญ์ƒ์„ฑ ํ˜ธ์ „์˜ ๊ธฐ์ „

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์˜๊ณผ๋Œ€ํ•™ ์˜ํ•™๊ณผ,2019. 8. ์กฐ์˜๋ฏผ.๋น„๋งŒ์€ ํ˜„๋Œ€์‚ฌํšŒ์—์„œ ๊ฐ€์žฅ ํฐ ์˜๋ฃŒ ๋ถ€๋‹ด์„ ์•ผ๊ธฐํ•˜๋Š” ์งˆ๋ณ‘์˜ ํ•˜๋‚˜๋กœ์จ ๋‹ค์–‘ํ•œ ๋Œ€์‚ฌ, ์‹ฌํ˜ˆ๊ด€, ๊ทผ๊ณจ๊ฒฉ ์งˆํ™˜ ๊ทธ๋ฆฌ๊ณ  ์ข…์–‘๊ณผ ์—ฐ๊ด€๋˜์–ด ์žˆ๋‹ค. ํŠนํžˆ ์ œ2ํ˜• ๋‹น๋‡จ๋ณ‘์€ ์ด๋Ÿฌํ•œ ๋น„๋งŒ์˜ ๋™๋ฐ˜ ์งˆํ™˜ ์ค‘์—์„œ ๊ฐ€์žฅ ๋Œ€ํ‘œ์ ์ธ ์งˆ๋ณ‘์œผ๋กœ ํ™˜์ž๋“ค์˜ ์‚ถ์˜ ์งˆ ์ €ํ•˜์™€ ์‚ฌ๋ง๋ฅ ์˜ ์ฆ๊ฐ€๋กœ ์ด์–ด์ง„๋‹ค. ํ˜„์žฌ๊นŒ์ง€ ๋งŽ์€ ์—ฐ๊ตฌ์™€ ๋…ธ๋ ฅ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๋น„๋งŒ๊ณผ ๋‹น๋‡จ ์น˜๋ฃŒ๋ฒ•๋“ค์€ ํ•œ๊ณ„์ ์€ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋น„๊ต์  ์ตœ๊ทผ์— ๋„์ž…๋œ ๋Œ€์‚ฌ ์ˆ˜์ˆ ์€ ์œ„์žฅ๊ด€๊ณ„ ์ˆ˜์ˆ ์„ ํ†ตํ•˜์—ฌ ์ฒด์ค‘์„ ๊ฐ์†Œ์‹œํ‚ค๊ณ  ๋‚˜์•„๊ฐ€ ๋‹น๋Œ€์‚ฌ๋ฅผ ํ˜ธ์ „์‹œํ‚ค๊ณ ์ž ํ•˜๋Š” ์น˜๋ฃŒ๋ฒ•์ด๋‹ค. ํ˜„์žฌ๊นŒ์ง€ ๊ฐœ๋ฐœ๋œ ์–ด๋– ํ•œ ์•ฝ๋ฌผ์น˜๋ฃŒ์— ๋น„ํ•˜์—ฌ ๋Œ€์‚ฌ ์ˆ˜์ˆ ์€ ๋” ๊ฐ•๋ ฅํ•œ ํ˜ˆ๋‹น ์ €ํ•˜ ๋ฐ ์ฒด์ค‘๊ฐ์†Œ ํšจ๊ณผ๋ฅผ ๋ณด์ด๋ฉฐ, ์ด๋Ÿฌํ•œ ํšจ๊ณผ๋Š” 10๋…„์ด์ƒ ์˜ค๋ž˜ ์œ ์ง€๋จ์ด ๋ฐํ˜€์กŒ๋‹ค. ํŠนํžˆ, ๋Œ€์‚ฌ ์ˆ˜์ˆ ์€ ๋‹น๋‡จ ์•ฝ์ œ๋ฅผ ์ค‘๋‹จํ•˜์—ฌ๋„ ์ •์ƒ ํ˜ˆ๋‹น์ด ์œ ์ง€๋˜๋Š” ๋‹น๋‡จ ๊ด€ํ•ด๋ฅผ ์œ ๋„ํ•  ์ˆ˜๋„ ์žˆ๋‹ค๊ณ  ์•Œ๋ ค์กŒ๋‹ค. ์ด๋Ÿฌํ•œ ๋Œ€์‚ฌ ์ˆ˜์ˆ ์˜ ๊ธฐ์ „์„ ์—ฐ๊ตฌํ•จ์œผ๋กœ์จ ๋น„๋งŒ๊ณผ ๋‹น๋‡จ๋ณ‘์„ ์น˜๋ฃŒํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‘ ์ข…๋ฅ˜์˜ ๋Œ€์‚ฌ ์ˆ˜์ˆ  ๋™๋ฌผ ๋ชจ๋ธ์„ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๋จผ์ € ํšŒ์žฅ ์ „์น˜์ˆ  ๋ ›ํŠธ ๋ชจ๋ธ์„ ํ†ตํ•ด์„œ ๋Œ€์‚ฌ ์ˆ˜์ˆ ์—์„œ ์›์œ„ ํšŒ์žฅ์˜ ์—ญํ•  ๋ฐ ์ˆ˜์ˆ  ํ›„ ์žฅ์˜ ์ ์‘ ๋ณ€ํ™”๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ํšŒ์žฅ ์ „์น˜์ˆ ์€ ํ›„์œ„๋ถ€ ํšŒ์žฅ์˜ ์ผ๋ถ€๋ฅผ ์ˆ˜์ˆ ์ ์œผ๋กœ ์‹ญ์ด์ง€์žฅ ๋‹ค์Œ์œผ๋กœ ์œ„์น˜์‹œ์ผœ ๋Œ€์‚ฌ ์ˆ˜์ˆ ์—์„œ ๋ง๋‹จ๋ถ€ ํšŒ์žฅ์˜ ์—ญํ• ์„ ์—ฐ๊ตฌํ•˜๊ณ ์ž ํ•˜๋Š” ์ˆ˜์ˆ ๋ฒ•์ด๋‹ค. ํšŒ์žฅ์ „์น˜์ˆ ์„ ๊ณ ์ง€๋ฐฉ์‚ฌ๋ฃŒ ์„ญ์ทจ๋กœ ๋น„๋งŒ์„ ์œ ๋„ํ•œ ์‹์ด ์œ ๋ฐœ ๋น„๋งŒ ๋ ›ํŠธ์—์„œ ์‹œํ–‰ํ•˜์—ฌ ๋Œ€์‚ฌ์ ์ธ ํšจ๊ณผ๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ํšŒ์žฅ์ „์น˜์ˆ ์€ ํ˜ˆ๋‹น์„ ๊ฐ์†Œ์‹œ์ผฐ๋Š”๋ฐ, ํŠนํžˆ ์‹ํ›„ ์ธ์Š๋ฆฐ๊ณผ GLP-1 ๋ถ„๋น„ ์ฆ๊ฐ€๋ฅผ ํ†ตํ•˜์—ฌ ์ด๋ฅผ ์ผ์œผํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋˜์—ˆ๋‹ค. ๋˜ํ•œ ์ด๋Ÿฌํ•œ ๋ณ€ํ™”๋Š” ์ทŒ์žฅ ๋ฒ ํƒ€์„ธํฌ์˜ ์ฆ๊ฐ€์™€ ๋™๋ฐ˜๋˜์—ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ ์ „์น˜๋œ ํšŒ์žฅ์—์„œ์˜ ์œ ์ „์ž ๋ฐœํ˜„ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ํšŒ์žฅ ์ „์น˜์ˆ  ํ›„์— 1์ฃผ, 4์ฃผ๊ฐ€ ์ง€๋‚˜๊ณ  ํšŒ์žฅ ์กฐ์ง์„ ์ฑ„์ทจํ•˜๊ณ  ๋งˆ์ดํฌ๋กœ์–ด๋ ˆ์ด ๋ถ„์„์„ ์‹œํ–‰ํ•˜์—ฌ ์œ ์ „์ž ๋ฐœํ˜„์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ํฅ๋ฏธ๋กญ๊ฒŒ๋„, 1์ฃผ์™€ 4์ฃผ์˜ ์œ ์ „์ž ๋ฐœํ˜„์‚ฌ์ด์— ํฐ ์ฐจ์ด๊ฐ€ ์žˆ์–ด ํšŒ์žฅ ์ „์น˜์ˆ  ํ›„ ์ดˆ๊ธฐ์— ํšŒ์žฅ์—์„œ ๋งค์šฐ ์—ญ๋™์ ์ธ ์ ์‘ ๋ณ€ํ™”๊ฐ€ ์ผ์–ด๋‚จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ถ”๊ฐ€์ ์ธ ์œ ์ „์ž ๊ฒฝ๋กœ ๋ถ„์„ ๋ฐ ๋„คํŠธ์›Œํฌ ๋ถ„์„์„ ํ†ตํ•˜์—ฌ ์ฒซ 1์ฃผ์—๋Š” ๊ตฌ์กฐ์ ์ธ ์ ์‘์ด, 4์ฃผ์—๋Š” ๋Œ€์‚ฌ์ ์ธ ์ ์‘๊ณผ ๋ฉด์—ญํ•™์ ์ธ ์ ์‘์ด ์ฃผ๋œ ๋ฐ˜์‘์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋‹น๋Œ€์‚ฌ์— ์ค‘์š”ํ•œ ๊ฐ„, ์ง€๋ฐฉ, ๊ทผ์œก ์กฐ์ง์—์„œ์˜ ๋ณ€ํ™”๋ฅผ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ๋งˆ์šฐ์Šค์—์„œ ์œ„์†Œ๋งค์ ˆ์ œ์ˆ ์„ ์‹œํ–‰ํ•˜์—ฌ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ์‹์ด ์œ ๋„ ๋น„๋งŒ ๋งˆ์šฐ์Šค์—์„œ ์œ„์†Œ๋งค์ ˆ์ œ์ˆ ์„ ์‹œํ–‰ํ•œ ๋’ค ๊ฐ„, ์ง€๋ฐฉ, ๊ทผ์œก ์กฐ์ง์„ ์ฑ„์ทจํ•˜์—ฌ RNA ์‹œํ€€์‹ฑ ๋ถ„์„์„ ํ†ตํ•ด ์œ ์ „์ž ๋ฐœํ˜„์˜ ์ฐจ์ด๋ฅผ ๋น„๊ตํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ด๋ฅผ sham ์ˆ˜์ˆ  ๋Œ€์กฐ๊ตฐ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ sham ์ˆ˜์ˆ  ํ›„ ์œ„์†Œ๋งค์ ˆ์ œ์ˆ  ์ˆ˜์ˆ ๊ณผ ๋™์ผํ•œ ์‹์ด๋ฅผ ์„ญ์ทจํ•˜๋„๋ก ํ•œ pair-fed ๊ทธ๋ฃน๊ณผ๋„ ๋น„๊ตํ•˜์—ฌ ์œ„์†Œ๋งค์ ˆ์ œ์ˆ ์˜ ํšจ๊ณผ์—์„œ ์ฒด์ค‘ ๊ฐ์†Œ ๋…๋ฆฝ์ ์ธ ๋ถ€๋ถ„์„ ํ™•์ธํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ์œ„์†Œ๋งค์ ˆ์ œ์ˆ ์ด ๊ฐ„, ์ง€๋ฐฉ, ๊ทผ์œก์— ๋ชจ๋‘ ์œ ์ „์ž ๋ฐœํ˜„ ๋ณ€ํ™”๋ฅผ ์œ ๋„ํ•˜๋Š”๋ฐ, ํŠนํžˆ ์ด๋Ÿฌํ•œ ์ฐจ์ด๋Š” ๋‹จ์ˆœํ•œ ์‹์ด ์ œํ•œ์„ ํ†ตํ•ด ์ฒด์ค‘ ๊ฐ์†Œ๋ฅผ ์œ ๋„ํ•œ pair-fed ๋งˆ์šฐ์Šค์—์„œ ๋Œ€์กฐ๊ตฐ๊ณผ ๋น„๊ตํ•œ ์ฐจ์ด๋ณด๋‹ค ํ›จ์”ฌ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚˜์„œ ์œ„์†Œ๋งค์ ˆ์ œ์ˆ ์˜ ๊ฐ„, ์ง€๋ฐฉ, ๊ทผ์œก์— ๋Œ€ํ•œ ํšจ๊ณผ ์ค‘ ์ฒด์ค‘๊ฐ์†Œ ๋…๋ฆฝ์ ์ธ ๊ธฐ์ „์— ์ค‘์š”ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ๋ฉด์—ญ ๋ฐ˜์‘๊ณผ ๊ด€๋ จ๋œ ์œ ์ „์ž๋“ค์ด ์„ธ๊ฐ€์ง€ ์กฐ์ง์—์„œ ๋ชจ๋‘ ๊ณตํ†ต์ ์œผ๋กœ ๋ณ€ํ™”๋˜์–ด ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด์„œ ์žฅ์—์„œ๋Š” ์ˆ˜์ˆ  ํ›„ ๋‹ค์ด๋‚˜๋ฏนํ•œ ์ ์‘ ๋ณ€ํ™”๊ฐ€ ์ผ์–ด๋‚จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๊ณ  ๋ง์ดˆ์—์„œ ๋‹น์„ ๋Œ€์‚ฌํ•˜๋Š” ๊ฐ„, ์ง€๋ฐฉ, ๊ทผ์œก ์กฐ์ง์—์„œ๋Š” ์ฒด์ค‘๊ฐ์†Œ ๋…๋ฆฝ์ ์ธ ์œ ์ „์ž ๋ฐœํ˜„ ๋ณ€ํ™”๊ฐ€ ํฌ๊ฒŒ ์ผ์–ด๋‚จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€ํ™” ์ค‘ ๋ฉด์—ญ ๋ฐ˜์‘๊ณผ ์—ฐ๊ด€๋œ ์œ ์ „์ž ๋ฐœํ˜„ ๋ณ€ํ™”๊ฐ€ ๋ชจ๋‘ ๊ณตํ†ต์ ์œผ๋กœ ๋‚˜ํƒ€๋‚˜์„œ ๋Œ€์‚ฌ ์ˆ˜์ˆ  ํ›„ ๋ฉด์—ญ ๋ฐ˜์‘์˜ ๋ณ€ํ™”๊ฐ€ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•  ๊ฐ€๋Šฅ์„ฑ์„ ์‹œ์‚ฌํ•˜์˜€๋‹ค.Obesity increases the risk of metabolic, cardiovascular, musculoskeletal diseases and even some types of cancer. Among various complications of obesity, type 2 diabetes mellitus (T2DM) is the prototype of metabolic complications. Obesity is the primary contributor to the development of T2DM. Despite of tremendous efforts to bring better treatment for obesity and diabetes, there are still significant unmet needs. Metabolic surgery is a surgical treatment to reduce body weight and improve glucose metabolism. Unlike other pharmacologic treatment for obesity and diabetes, metabolic surgery demonstrated superior clinical efficacy and longer durability. Furthermore, metabolic surgery can induce remission of T2DM which is defined as achieving normoglycemia without any anti-diabetic medication. By unraveling the mechanism of metabolic surgery to improve metabolic homeostasis, we can develop new insights into glucose metabolism and better treatments. To elucidate the molecular mechanism of metabolic surgery, two rodent models of metabolic surgery were used. First, ileal transposition (IT) is an experimental surgery which translocate a segment of distal ileum into proximal jejunum. The metabolic effects of IT were investigated in diet-induced obese rats. IT improved glucose tolerance by augmenting postprandial insulin and GLP-1 secretion. IT also increased pancreatic ฮฒ-cell mass which was thought to be associated with increased GLP-1 secretion. However, IT did not have significant effect on body weight and insulin sensitivity. On histologic examination, the transposed ileum showed hypertrophic change and increased enteroendocrine cell density positively stained for GLP-1 and GLP-1/GIP. Then, an unbiased transcriptomic analysis was applied on the transposed ileum to investigate the adaptive process of the intestine after IT. Using microarray analysis of the transposed ileum at week-1 and week-4 after surgery, I could demonstrate that the transposed ileum undergoes a dynamic adaptation process after IT. Functional enrichment analysis and network analysis further characterized the major components of each stage, which were structural adaptation at week 1 and metabolic and immune adaptations at week 4. Secondly, a mouse model of vertical sleeve gastrectomy (VSG) was constructed to investigate the effects of VSG in glucose metabolizing tissues including liver, fat and muscle. Vertical sleeve gastrectomy removes lateral 80% of the stomach and leaves only tube like remnant of the stomach. I examined gene expression profiles of liver, fat and muscle in VSG mice compared with sham and sham pair-fed (sham-PF) mice using RNA sequencing analysis at 8 weeks after surgery. VSG improved glucose tolerance significantly than sham, but only marginally than sham-PF. Unexpectedly, gene expression profiles of liver, fat, and muscle tissues were significantly different between VSG and sham-PF, which was more distinct than the comparison between sham and sham-PF, suggesting the weight-loss independent effects on gene expression of peripheral tissues are more robust than weight-loss dependent effects. In addition, immune response-related gene ontology and pathways were consistently un-regulated in the three organs. In further analysis, the immune response in adipose tissue was characterized as up-regulation of M2 phenotype macrophage and B lymphocytes. In summary, IT in rats and VSG in mice could demonstrate the metabolic improvements after metabolic surgery. The intestine undergoes dynamic adaptation process after surgery which can have implications in metabolic homeostasis with structural and functional changes. The glucose metabolizing peripheral tissues, liver, fat and muscle, showed both weight-loss dependent and independent changes in gene expression. The immune response was the common pathway enriched in the three organs after metabolic surgery.General Introduction 1 Chapter 1: Metabolic effects of ileal transposition and the adaptive process of the transposed distal ileum Background and objectives of chapter 1 27 Material and Methods 29 Results 39 Discussion of chapter 1 70 Chapter 2: Effects of vertical sleeve gastrectomy on the gene expression of liver, fat and muscle and their implications in glucose homeostasis Background and objectives of chapter 2 76 Material and Methods 78 Results 85 Discussion of chapter 2 124 Discussion 127 Acknowledgement 140 References 141 Abstract in Korean 159Docto

    A novel and validated agile Ontology Engineering methodology for the development of ontology-based applications

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    The goal of this Thesis is to investigate the status of Ontology Engineering, underlining the main key issues still characterizing this discipline. Among these issues, the problem of reconciling macro-level methodologies with authoring techniques is pivotal in supporting novel ontology engineers. The latest approach characterizing ontology engineering methodologies leverages the agile paradigm to support collaborative ontology development and deliver efficient ontologies. However, so far, the investigations in the current support provided by these methodologies and the delivery of efficient ontologies have not been investigated. Thus, this work proposes a novel framework for the investigation of agile methodologies, with the objective of identifying the strong point of each agile methodology and their limitations. Leveraging on the findings of this analysis, the Thesis introduces a novel agile methodology โ€“ AgiSCOnt โ€“ aimed at tackling some of the key issues characterizing Ontology Engineering and weaknesses identified in existing agile approaches. The novel methodology is then put to the test as it is adopted for the development of two new domain ontologies in the field of health: the first is dedicated to patients struggling with dysphagia, while the second addresses patients affected by Chronic obstructive pulmonary disease.The goal of this Thesis is to investigate the status of Ontology Engineering, underlining the main key issues still characterizing this discipline. Among these issues, the problem of reconciling macro-level methodologies with authoring techniques is pivotal in supporting novel ontology engineers. The latest approach characterizing ontology engineering methodologies leverages the agile paradigm to support collaborative ontology development and deliver efficient ontologies. However, so far, the investigations in the current support provided by these methodologies and the delivery of efficient ontologies have not been investigated. Thus, this work proposes a novel framework for the investigation of agile methodologies, with the objective of identifying the strong point of each agile methodology and their limitations. Leveraging on the findings of this analysis, the Thesis introduces a novel agile methodology โ€“ AgiSCOnt โ€“ aimed at tackling some of the key issues characterizing Ontology Engineering and weaknesses identified in existing agile approaches. The novel methodology is then put to the test as it is adopted for the development of two new domain ontologies in the field of health: the first is dedicated to patients struggling with dysphagia, while the second addresses patients affected by Chronic obstructive pulmonary disease

    Ontology-based personalized performance evaluation and dietary recommendation for weightlifting.

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    Studies in weightlifting have been characterized by unclear results and information paucity, mainly due to the lack of information sharing between athletes, coaches, biomechanists, physiologists and nutritionists. Becoming successful in weightlifting performance requires a unique physiological and biomechanics profile based on a distinctive combination of muscular strength, muscular power, flexibility, and lifting technique. An effective training which is carefully designed and monitored, is needed for accomplishment of consistent high performance. While it takes years of dedicated training, diet is also critical as optimal nutrition is essential for peak performance. Nutritional misinformation can do as much harm to ambitious athletes as good nutrition can help. In spite of several studies on nutrition guidelines for weightlifting training and competition as well as on design and implementation of weightlifting training programs, to the best of authors' knowledge, there is no attempt to semantically model the whole "training-diet-competition" cycle by integrating training, biomechanics, and nutrition domains.This study aims to conceive and design an ontology-enriched knowledge model to guide and support the implementation of "Recommender system of workout and nutrition forweightlifters". In doing so, it will propose: (i) understanding the weightlifting training system, from both qualitative and quantitative perspectives, following a modular ontology modeling, (ii) understanding the weightlifting diet following a modular ontology modeling, (iii) semantically integrating weightlifting and nutrition ontologies to mainly promote nutrition and weightlifting snatch exercises interoperability, (iv) extending modular ontology scope by mining rules while analyzing open data from the literature, and (v) devising reasoning capability toward an automated weightlifting "training-diet-competition" cycle supported by previously mined rulesTo support the above claims, two main artefacts were generated such as: (i) a weightliftingnutritional knowledge questionnaire to assess Thai weightlifting coaches' and athletes'knowledge regarding the weightlifting "training-diet-competition" cycle and (ii) a dual ontologyoriented weightlifting-nutrition knowledge model extended with mined rules and designed following a standard ontology development methodology.Studies in weightlifting have been characterized by unclear results and information paucity, mainly due to the lack of information sharing between athletes, coaches, biomechanists, physiologists and nutritionists. Becoming successful in weightlifting performance requires a unique physiological and biomechanics profile based on a distinctive combination of muscular strength, muscular power, flexibility, and lifting technique. An effective training which is carefully designed and monitored, is needed for accomplishment of consistent high performance. While it takes years of dedicated training, diet is also critical as optimal nutrition is essential for peak performance. Nutritional misinformation can do as much harm to ambitious athletes as good nutrition can help. In spite of several studies on nutrition guidelines for weightlifting training and competition as well as on design and implementation of weightlifting training programs, to the best of authors' knowledge, there is no attempt to semantically model the whole "training-diet-competition" cycle by integrating training, biomechanics, and nutrition domains.This study aims to conceive and design an ontology-enriched knowledge model to guide and support the implementation of "Recommender system of workout and nutrition forweightlifters". In doing so, it will propose: (i) understanding the weightlifting training system, from both qualitative and quantitative perspectives, following a modular ontology modeling, (ii) understanding the weightlifting diet following a modular ontology modeling, (iii) semantically integrating weightlifting and nutrition ontologies to mainly promote nutrition and weightlifting snatch exercises interoperability, (iv) extending modular ontology scope by mining rules while analyzing open data from the literature, and (v) devising reasoning capability toward an automated weightlifting "training-diet-competition" cycle supported by previously mined rulesTo support the above claims, two main artefacts were generated such as: (i) a weightliftingnutritional knowledge questionnaire to assess Thai weightlifting coaches' and athletes'knowledge regarding the weightlifting "training-diet-competition" cycle and (ii) a dual ontologyoriented weightlifting-nutrition knowledge model extended with mined rules and designed following a standard ontology development methodology

    Technological Applications for the Automation of Food Questionnaires in Medical Studies: a state-of-art-review and future prospective

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    Applications for automating the most commonly used dietary surveys in nutritional research, Food Frequency Questionnaires (FFQs) and 24 h Dietary Recalls (24HDRs), are reviewed in this paper. A comprehensive search of electronic databases was carried out and findings were classified by a group of experts in nutrition and computer science into: (i) Computerized Questionnaires and Web-based Questionnaires; (ii) FFQs and 24HDRs and combinations of both; and (iii) interviewer-administered or self-administered questionnaires. A discussion on the classification made and the works reported is included. Finally, works that apply innovative technologies are outlined and the future trends for automating questionnaires in nutrition are identified
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