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1. Impact of Healthy Lifestyle Factors on Life Expectancy and Lifetime Health Care Expenditure: Nationwide Cohort Study

Author: Wei-Cheng Lo, Tsuey-Hwa Hu, Cheng-Yu Shih, Hsien-Ho Lin, and Jing-Shiang Hwang
Subjects: Public aspects of medicine, RA1-1270
Abstract: BackgroundThe association between lifestyle risk factors and the risk of mortality and chronic diseases has been established, while limited research has explored the impact of healthy lifestyle factors on lifetime health care expenditure using longitudinal individual data. ObjectiveWe aimed to determine the individual and combined effects of 5 healthy lifestyle factors on life expectancy and lifetime health care expenditure in Taiwan. MethodsUsing data from the National Health Interview Survey cohort, 5 healthy lifestyle behaviors were defined and analyzed: nonsmoking, avoiding excessive alcohol consumption, engaging in sufficient physical activity, ensuring sufficient fruit and vegetable intake, and maintaining a normal weight. We used a rolling extrapolation algorithm that incorporated inverse probability of treatment weighting to estimate the life expectancy and lifetime health care expenditure of the study populations with and without healthy lifestyle factors. ResultsA total of 19,893 participants aged ≥30 (mean age 48.8, SD 13.4) years were included, with 3815 deaths recorded during a median follow-up period of 15.6 years. The life expectancy and per capita estimated lifetime health care expenditures for the overall study population were 35.32 years and US $58,560, respectively. Multivariable-adjusted hazard ratios for all-cause mortality in participants adhering to all 5 healthy lifestyle factors, compared with those adhering to none, were 0.37 (95% CI 0.27-0.49). We found significant increases in life expectancy for nonsmokers (2.31 years; 95% CI 0.04-5.13; P=.03), those with sufficient physical activity (1.85 years; 95% CI 0.25-4.34; P=.02), and those with adequate fruit and vegetable intake (3.25 years; 95% CI 1.29-6.81; P=.01). In addition, nonsmokers experienced a significant reduction in annual health care expenditure (−9.78%; 95% CI −46.53% to −1.45%; P=.03), as did individuals maintaining optimal body weight (−18.36%; 95% CI −29.66% to −8.57%; P=.01). Overall, participants adhering to all 5 healthy lifestyle behaviors exhibited a life gain of 7.13 years (95% CI 1.33-11.11; P=.02) compared with those adhering to one or none, with a life expectancy of 29.19 years (95% CI 25.45-33.62). Furthermore, individuals adopting all 5 healthy lifestyle factors experienced an average annual health care expenditure reduction of 28.12% (95% CI 4.43%-57.61%; P=.02) compared with those adopting one or none. ConclusionsAdopting a healthy lifestyle is associated with a longer life expectancy and a reduction of health care expenditure in Taiwanese adults. This contributes to a more comprehensive understanding of the impact of healthy lifestyle factors on the overall health and economic burden.
Published: 2024
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2. 技術型高中設計相關類科學生應用「印刷設計課程」行動學習app之研究：以自我調整學習與學習自我效能為探究因素 Application of a Printing Design Course Mobile Learning app in a Design Course at a Vocational High School: Influence on Self-Regulated Learning and Learning Self-Efficacy

Author: 廖信 Shin Liao, 羅偉誠 Wei-Cheng Lo, 林庭卉 Ting-Hui Lin, and 楊翠竹 Chui-Chu Yang
Subjects: 印刷專業課程, 自我調整學習, 行動學習, 技術型高中, 學習自我效能, printing design course, self-regulated learning, mobile learning, vocational high school, learning self-efficacy, Education, Theory and practice of education, LB5-3640
Abstract: 近年來，科技快速發展促成學習模式多元化以及行動學習之發展。根據國內外期刊文獻之分析，應用行動學習之研究甚少聚焦於技職教育，故本研究以技術型高中設計相關類科學生為對象，旨在探討學生對於「印刷設計課程」行動學習app輔助學習之接受程度，並檢視其與學生之自我調整學習和學習自我效能兩者間的相關性。本研究採PLS-SEM進行資料分析與模型驗證，結果發現：一、「印刷設計課程」行動學習app之知覺有用性和使用態度，皆與學生之使用意願呈顯著正相關，顯示學生對於行動學習app具有一定之接受度；二、行動學習app之知覺有用性和使用態度與學生的自我調整學習具顯著正相關，顯示學生對於行動學習app之知覺有用性和使用態度具有相當程度之關係。行動學習app之知覺易用性與學生的自我調整學習具負相關，顯示學生對於行動學習app之知覺易用性程度提高，自我調整學習程度可能降低，而行動學習app之使用意願與學生的自我調整學習則不具正相關，顯示學生對於行動學習app之使用意願與其自我調整學習未必有相關程度之影響；三、行動學習app使用意願對於學生的學習自我效能具顯著正相關，顯示行動學習app使用意願對於學生的學習自我效能具一定程度之影響。 Purpose This study investigated (1) the perceptions and attitudes of students toward a mobile learning app for a printing design course based on the technology acceptance model, (2) how the mobile learning app influences learning self-efficacy, and (3) whether self-regulated learning (SRL) affects intention to use the mobile learning app. Hypothesis According to the technology acceptance model, behavioral intention drives individuals to adopt technology. Behavioral intention is influenced by the attitude toward using technology. The perception of the usefulness and ease-of-use of new technology also influences an individual’s decision on how and when to use the technology. SRL is the capacity to understand and manage one’s own learning environment. Individuals with greater SRL may be more inclined to use mobile learning apps to enhance their learning experience and increase their self-learning efficacy. Therefore, this study integrated SRL as one of the factors that could influence behavioral intention to use the new mobile learning app. This study proposed five hypotheses to examine how various factors influence the willingness to use the mobile learning app and how the factors affect learning self-efficacy. The five hypotheses are as follows: H1: SRL positively influences intention to use the learning app among students. H2: Perceived ease-of-use positively influences SRL among students. H3: Perceived usefulness positively influences SRL among students. H4: Attitude toward using positively influences SRL among students. H5: Behavioral intention positively influences learning self-efficacy among students. Design/Method/Approach This study recruited 34 secondary-year students from a vocational high school in Taipei who were enrolled in an 18-week “practicum of printing design” course. The primary learning objective of the course was to learn how to make a photographic album by hand. The course has two main sections and was held for two hours every week. To assess the effect of app-aided learning, the researchers chose the first segment, which comprised essential knowledge of designing, printing, and binding. The research team first gained permission from the teacher of the course to integrate app learning into his lecturing lessons. In the first week, one member of the research team obtained consent from students, introduced the app, and assisted students download it. Over the next 2-9 weeks, the students used the app in class while the researcher conducted classroom observations. At the beginning of each class, the teacher explained the learning goals for each day, asked students to use the app for 10-15 min, and then held a question-and-answer session to facilitate comprehensive understanding of the learning contents. The teacher encouraged students to watch videos on the app that were related to the course content. In week 10, the researcher used a self-developed questionnaire to conduct a survey. The questionnaire had six sections: learning self-efficacy, SRL, perceived usefulness, perceived ease-of-use, attitude toward learning, and behavioral intention. Factor analysis was performed to examine validity, and items with a factor loading of .5. The variance inflation factor was < .5 for all constructs. The questionnaire has favorable reliability and validity. The R 2 value was used to examine the explanatory power of the model, and the Q 2 value was used to validate the precision of model. The R 2 values were 75% for behavior intention and 53% for SRL. The Q 2 values for behavioral intention and SRL were > .50. These results indicate that both perceived usefulness and attitude toward using could explain 75% of the variance in behavioral intention and 53% of the variance in SRL. Perceived usefulness and attitude toward using also had a significant ability to predict behavioral intention and SRL (both Q 2 values > .50). R 2 and Q 2 values for perceived usefulness were 41% and .29, indicating that perceived ease-of-use could explain 41% of the variance in perceived usefulness. Attitude toward using had a lower Q 2 value (.18), indicating that attitude toward using the mobile learning app has a weak effect on behavioral intention. Path coefficients are the essential measures for assessing the structural model. H3 (β = .63, p < .05), H4 (β = .38, p < .05), and H5 (β = .60, p < .05) were supported. H1 (β = −.004, p < .05) and H2 (β = −.23, p < .05) were not supported. These findings indicate that perceived usefulness and attitude toward using positively influenced SRL, whereas perceived ease-of-use did not affect SRL. Perceived usefulness also positively influenced behavioral intention. Conclusions and Suggestions (1) This study integrated SRL with the technology acceptance model and found that perceived usefulness and attitude toward using were the main factors affecting SRL. Research has demonstrated that students with greater SRL are more likely to proactively facilitate their own learning (behavioral intention); however, the results of our study do not support this finding. Although mobile phones are commonly used, the students in this study seem to not treat mobile phones as a learning tool. Students use mobile phones for social connections and entertainment rather than for learning. Consequently, their perception of the usefulness of the mobile learning app for learning and their intention to use it were low. Teachers must first explain the function of the mobile learning app and highlight its benefits to encourage students to use it. In addition, perceived ease-of-use did not significantly affect the adoption of the mobile learning app among students. Given that mobile phones are common, their ease-of-use and that of mobile phone apps are not usually an issue. Among students, the perceived usefulness of a mobile phone app has a greater influence on behavioral intention than perceived ease-of-use. (2) Perceived of ease-of-use positively influenced perceived usefulness. Perceived usefulness positively influenced behavioral intention, and behavioral intention positively influenced learning self-efficacy. Although not all these paths were included in the hypothesis test, they showed interesting results. Perceived usefulness had a greater effect on behavioral intention than the other factors did. Behavioral intention was positively correlated with perceived usefulness and learning self-efficacy. (3) Attitude toward using positively influenced behavioral intention and SRL, which is consistent with the findings of previous studies. However, perceived usefulness and perceived ease-of-use do not influence attitude toward using. These three factors are independent. (4) The findings of this study contribute to the field of mobile educational technology and app design. This study demonstrated that the perceived usefulness of an app is a crucial factor that should be considered during app design. Future studies should explore the factors that influence perceived usefulness among students. This study had a small sample size from a single class, limiting its generalizability. Additional research in different learning environments is warranted to gain further insights into how mobile learning apps can be improved.
Published: 2023
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3. SeqCP: A sequence-based algorithm for searching circularly permuted proteins

Author: Chi-Chun Chen, Yu-Wei Huang, Hsuan-Cheng Huang, Wei-Cheng Lo, and Ping-Chiang Lyu
Subjects: Circular permutation, Circular permutants, Protein sequence analysis, Protein structure modeling, Biotechnology, TP248.13-248.65
Abstract: Circular permutation (CP) is a protein sequence rearrangement in which the amino- and carboxyl-termini of a protein can be created in different positions along the imaginary circularized sequence. Circularly permutated proteins usually exhibit conserved three-dimensional structures and functions. By comparing the structures of circular permutants (CPMs), protein research and bioengineering applications can be approached in ways that are difficult to achieve by traditional mutagenesis. Most current CP detection algorithms depend on structural information. Because there is a vast number of proteins with unknown structures, many CP pairs may remain unidentified. An efficient sequence-based CP detector will help identify more CP pairs and advance many protein studies. For instance, some hypothetical proteins may have CPMs with known functions and structures that are informative for functional annotation, but existing structure-based CP search methods cannot be applied when those hypothetical proteins lack structural information. Despite the considerable potential for applications, sequence-based CP search methods have not been well developed. We present a sequence-based method, SeqCP, which analyzes normal and duplicated sequence alignments to identify CPMs and determine candidate CP sites for proteins. SeqCP was trained by data obtained from the Circular Permutation Database and tested with nonredundant datasets from the Protein Data Bank. It shows high reliability in CP identification and achieves an AUC of 0.9. SeqCP has been implemented into a web server available at: http://pcnas.life.nthu.edu.tw/SeqCP/.
Published: 2023
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4. Cost-Effective Groundwater Potential Mapping by Integrating Multiple Remote Sensing Data and the Index–Overlay Method

Author: Lamtupa Nainggolan, Chuen-Fa Ni, Yahya Darmawan, Wei-Cheng Lo, I-Hsian Lee, Chi-Ping Lin, and Nguyen Hoang Hiep
Subjects: index–overlay method, groundwater potential zone, fuzzy extended-AHP, groundwater availability, Science
Abstract: The Choushui River groundwater basin (CRGB) in Yunlin County, Taiwan, is a significant groundwater source for the western part of the region. However, increasing groundwater demand and human activities have triggered a potential crisis due to overexploitation. Therefore, groundwater potential zone (GWPZ) maps are crucial for mapping groundwater resources and water resource management. This study employs the normalized index–overlay method and fuzzy extended analytical hierarchy process (FE-AHP) to map GWPZs cost-effectively. The methodology objectively incorporates weightings from various thematic layers by normalizing and correlating parameters with observed groundwater availability (GA). Site-specific observations, including aquifer thickness, depth to the groundwater level, and porosity, inform GA calculations. Seven comprehensive layers derived from remote sensing (RS) data are processed to obtain weightings and ratings for the groundwater potential index (GWPI) in the CRGB. Selected parameters are categorized into hydrological processes, human interventions, geological, and surface profiles. Hydrological processes include precipitation, modified normalized difference water index (MNDWI), and drainage density. Human interventions consist of the enhanced vegetation index (EVI) and normalized difference building index (NDBI). Surface profiles encompass the terrain ruggedness index (TRI) and slope, enhancing the study’s multi-criteria approach. The observed GA validates the GWPZ accuracy, classifying zones into five categories. According to the GWPI of FE-AHP, about 59.56% of the CRGB area can be categorized as “moderate” to “very good” potential groundwater recharge zones. Pearson’s correlation coefficient between GWPI and GA, based on FE-AHP, outperforms the conventional AHP. This RS-based approach efficiently evaluates GA in aquifers with limited wells, highlighting crucial zones in CRGB’s proximal-fan and southeastern mid-fan for informed groundwater management strategies.
Published: 2024
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5. Global burden of tuberculosis attributable to cancer in 2019: Global, regional, and national estimates

Author: Bing-Jie Shen, Wei-Cheng Lo, and Hsien-Ho Lin
Subjects: Cancer, Global burden of disease, Population attributable fraction, Tuberculosis, Microbiology, QR1-502
Abstract: Background: Cancer is an independent risk factor for tuberculosis (TB). The global burden of incident TB attributable to cancer has never been explored. We aimed to evaluate the cancer-attributable burden of TB. Methods: We estimated the population attributable fraction (PAF) by Levin's formula. The cancer prevalence rates were derived from the Institute for Health Metrics and Evaluation. The relative risk of TB in cancer patients was estimated by using the National Health Insurance Research Database in Taiwan. The global burden of incidence TB attributable to cancer was the weighted sum of PAFs multiplied by the incidence of TB retrieved from the World Health Organization. Results: Worldwide, the total of incident TB cases attributable to cancer was 115,478 cases with a 95% confidence interval (CI), 110,482–123,007, in 2019. The global PAF of TB due to cancer was 1.85% (95% CI, 1.77–1.97%). The three countries with the highest PAFs were Greenland (7.77%), Canada (7.75%), and the United States of America (6.79%), while the three countries with the highest attributable TB cases due to cancer were China (25,240), India (21,629), and Indonesia (13,917). Cancer of respiratory system contributed to 60,257 of TB cases. Conclusions: This study comprehensively explored the impact of cancer on the global burden of TB. Efforts to reduce cancer risk, delay the occurrence of cancer, or treat latent TB infection in the cancer population could potentially reduce the burden of TB and rely on formulating integrated strategies.
Published: 2022
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6. CirPred, the first structure modeling and linker design system for circularly permuted proteins

Author: Teng-Ruei Chen, Yen-Cheng Lin, Yu-Wei Huang, Chih-Chieh Chen, and Wei-Cheng Lo
Subjects: Circular permutation, Protein engineering, Protein structure modeling, Protein structure prediction, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract: Abstract Background This work aims to help develop new protein engineering techniques based on a structural rearrangement phenomenon called circular permutation (CP), equivalent to connecting the native termini of a protein followed by creating new termini at another site. Although CP has been applied in many fields, its implementation is still costly because of inevitable trials and errors. Results Here we present CirPred, a structure modeling and termini linker design method for circularly permuted proteins. Compared with state-of-the-art protein structure modeling methods, CirPred is the only one fully capable of both circularly-permuted modeling and traditional co-linear modeling. CirPred performs well when the permutant shares low sequence identity with the native protein and even when the permutant adopts a different conformation from the native protein because of three-dimensional (3D) domain swapping. Linker redesign experiments demonstrated that the linker design algorithm of CirPred achieved subangstrom accuracy. Conclusions The CirPred system is capable of (1) predicting the structure of circular permutants, (2) designing termini linkers, (3) performing traditional co-linear protein structure modeling, and (4) identifying the CP-induced occurrence of 3D domain swapping. This method is supposed helpful for broadening the application of CP, and its web server is available at http://10.life.nctu.edu.tw/CirPred/ and http://lo.life.nctu.edu.tw/CirPred/ .
Published: 2021
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7. Mortality, morbidity, and risk factors in Taiwan, 1990–2017: findings from the Global Burden of Disease Study 2017

Author: Yun-Chun Wu, Wei-Cheng Lo, Tsung-Hsueh Lu, Shu-Sen Chang, Hsien-Ho Lin, and Chang-Chuan Chan
Subjects: Disease burden, Epidemiological transition, Modifiable risk factors, Public health, Health policy, Medicine (General), R5-920
Abstract: Background: Taiwan has implemented a national health insurance system since 1995 with high coverage and utilization rate. However, the health care system in Taiwan is facing immense challenges due to rapid population ageing. We have evaluated the landscape of population health by revisiting the results of GBD 2017 study. Methods: Taiwan vital registration data (1980–2016) and Taiwan national health insurance database (2016) were used. We also conducted benchmarking comparisons with selected countries in East Asia from 1990 to 2017. Results: The age-standardized disability-adjusted life-year (DALY) rates decreased by one-quarter from 1990 to 2017; however, progress was relatively slow compared to the comparator countries and has been stagnant recently. The Social-demographic Index (SDI) level in Taiwan in 2017 was 0.86, which is similar to Japan, Singapore, and South Korea in 2017, while the SDI level of China in 2017 was similar to that of Taiwan (0.69) in 1990. Although Taiwan's SDI reached the same level as those in Japan, Singapore, and South Korea in 2017, modifiable risk factors still contributed to nearly half of Taiwan's total disease burden. Five leading risk factors (high fasting plasma glucose, high body-mass index, alcohol use, illicit drug use, and impaired kidney function) accounted for a higher DALY rate in Taiwan than comparator countries in 2017. Conclusion: Taiwan made marked progress in health from 1990 to 2017. However, interventions targeted on major modifiable disease risk factors should be prioritized to realize the full potential of heath improvement in the process of rapid socioeconomic development.
Published: 2021
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8. Study on the Deposition Reduction Effect of the Sediment–Sluice Tunnel in Zengwen Reservoir

Author: Wei-Cheng Lo, Chih-Tsung Huang, Meng-Hsuan Wu, Boris Po-Tsang Chen, and Hsi-Nien Tan
Subjects: hydraulic flushing, Sediment–Sluice Tunnel, deposition mitigation, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract: Reservoirs are a crucial part of the human water supply system. The effectiveness and service life of a reservoir is decided mainly by its storage capacity, and as such, preventing reservoir capacity loss is of high interest worldwide. Due to climate change in recent years, precipitation types have changed, and heavy rainfall events have become more severe and frequent. Rainfall causes soil erosion in slope lands and transports large amounts of sediment downstream, forming deposition. This causes reservoir storage capacity to fall rapidly and decreases reservoir service life. The Sediment–Sluice Tunnel can reduce rapid deposition in reservoirs and is, thus, widely employed. By simulating sediment transportation in reservoirs, deposition reduction after building the Sediment–Sluice Tunnel can be evaluated. This study used the Physiographic Soil Erosion–Deposition (PSED) model to simulate the flow discharge and suspended sediment discharge flowing into the Zengwen reservoir then used the depth-averaged two-dimensional bed evolution model to simulate the sediment transportation and deposition in a hydrological process. Simulation results showed that the Sediment–Sluice Tunnel effectively reduced deposition and transported sediment closer to the spillway and Sediment–Sluice Tunnel gate. The deposition distribution with the Sediment–Sluice Tunnel built is more beneficial to the deployment of other dredging works.
Published: 2023
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9. The Incidence of Contrast-Induced Nephropathy and the Need of Dialysis in Patients Receiving Angiography: A Systematic Review and Meta-Analysis

Author: Mei-Yi Wu, Wei-Cheng Lo, Yun-Chun Wu, Tsu-Chen Lin, Chun-Hung Lin, Mai-Szu Wu, and Yu-Kang Tu
Subjects: administration route, contrast induced nephropathy, contrast media, meta-analysis, dialysis, Medicine (General), R5-920
Abstract: ObjectivesThe risk of dialysis following contrast exposure is unclear. We aimed to examine the overall risk of contrast induced nephropathy and the need of dialysis based on a systematic review with random-effects meta-analysis.MethodsWe searched the electronic database including PubMed, Medline, Embase, and Cochrane Library from inception to 31 October, 2020 with predetermined search term to identify relevant studies. Observational studies investigating the association between contrast induced nephropathy after angiography and the need of dialysis were included, and summary risks were estimated. Two independent reviewers extracted the data, followed with random effects model to calculate the overall pooled incidence of contrast induced nephropathy and the need of dialysis after angiography. Subgroup-analysis and meta-regression were performed to assess heterogeneity of incidence across studies.ResultsOf 2,243 identified articles, 259 met our inclusion criteria were included in the meta-analysis after screening. Pooled effect estimates had the following summary incidence proportion for contrast induced nephropathy after angiography: 9.06% (95% CI: 8.53–9.58%; derived from 120 studies) and 0.52% (95% CI: 0.37–0.70%; derived from 110 studies) for the need of dialysis, respectively. The stratified summary incidence proportion of contrast induced nephropathy after contrast administration via intra-arterial route was 9.60% (95% CI: 9.0–10.2%; derived from 106 studies) and was 0.6% (95% CI: 0.40–0.80%; derived from 100 studies) for the need of dialysis, respectively. Our meta-regressions found that the amount of contrast medium exposure was associated with contrast-induced nephropathy.ConclusionThe potential risk of dialysis needs to be communicated to patients undergoing procedures requiring contrast, especially via intra-arterial exposure.Systematic Review Registration[https://reurl.cc/8Wrlry], identifier [CRD42020170702].
Published: 2022
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10. Efficacy of Osteoporosis Medications for Patients With Chronic Kidney Disease: An Updated Systematic Review and Network Meta-Analysis

Author: Chia-Hsien Chen, Wei-Cheng Lo, Ping‐Jen Hu, Hsiu-Chen Chan, Wan-Chen Shen, Mai-Szu Wu, and Mei-Yi Wu
Subjects: osteoporosis, chronic kidney disease, fracture, bone mineral density, network meta-analysis, Therapeutics. Pharmacology, RM1-950
Abstract: Background: Chronic kidney disease (CKD) is associated with bone and mineral metabolism. In this study we evaluated the comparative efficacies and safety of osteoporosis medications in patients with CKD or a history of kidney transplantation, and make recommendations for the best choice of osteoporosis treatment among patients with CKD or a history of kidney transplantation.Methods: We systemically searched for randomized controlled trials published in PubMed, Embase, and Cochrane databases up to June 2020. Network-meta analysis was used to compare the relative effectiveness of different treatments. A random-effects model was used when heterogeneity was expected. The safety of different treatments was also evaluated in terms of reported major adverse events.Results: A total of 17 studies with data from 10,214 patients who had stage 2–5 CKD, were receiving dialysis, or had a history of kidney transplantation were included in the network meta-analysis. Treatment with teriparatide, denosumab, alendronate, and raloxifene were all associated with a significantly reduced risk of fractures compared to treatment with placebos [teriparatide: odds ratio (OR) = 0.19, 95% confidence interval (CI): 0.10–0.35; denosumab: OR = 0.40, 95% CI: 0.27–0.58; alendronate: OR = 0.61, 95% CI: 0.40–0.92; raloxifene: OR = 0.52, 95% CI: 0.41–0.67]. The rank probability and the surface under the cumulative ranking (SUCRA) values suggested that teriparatide ranked the highest for improvement in vertebral bone mineral density (BMD) (SUCRA = 97.8%), whereas denosumab ranked the highest for improvement in femoral neck BMD (SUCRA = 88.3%).Conclusion: Teriparatide and denosumab seem to be the most effective treatments for preventing bone loss and reducing the risk of fracture in our network comparison. However, because of the limitations and potential biases in the reviewed studies, there is still some uncertainty about the best treatment options for osteoporosis in patients with CKD or a history of kidney transplantation.Systematic Review Registration: [PROSPERO], identifier [CRD42020209830].
Published: 2022
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11. Updating the Insecticide Resistance Status of Aedes aegypti and Aedes albopictus in Asia: A Systematic Review and Meta-Analysis

Author: Ramdan Zulfa, Wei-Cheng Lo, Po-Ching Cheng, Martini Martini, and Ting-Wu Chuang
Subjects: Aedes aegypti, Aedes albopictus, insecticide resistance, meta-analysis, Asia, Medicine
Abstract: Background: Aedes aegypti and Aedes albopictus are two important vectors of several important arboviruses, including the dengue, chikungunya, and Zika viruses. Insecticide application is an important approach to reduce vector abundance during Aedes spp.-borne outbreaks in the absence of effective vaccines and treatments. However, insecticide overuse can result in the development of resistance, and careful monitoring of resistance markers is required. Methods: This meta-analysis and systematic review explored the spatial and temporal patterns of insecticide resistance in Asia from 2000 to 2021. PubMed, Scopus, EbscoHost, and Embase were used to enhance the search capability. The random-effects model was applied for the 94 studies that met our inclusion criteria for qualitative synthesis and meta-analysis. Results: Four major insecticides were studied (malathion, dichlorodiphenyltrichloroethane, permethrin, and deltamethrin). Dichlorodiphenyltrichloroethane resistance rates were high in both Ae. aegypti and Ae. albopictus (68% and 64%, respectively). Conversely, malathion resistance was less prevalent in Ae. aegypti (3%), and deltamethrin resistance was less common in Ae. albopictus (2%). Ae. aegypti displayed consistently high resistance rates (35%) throughout the study period, whereas the rate of insecticide resistance in Ae. albopictus increased from 5% to 12%. The rates of the major kdr mutations F1534C, V1016G, and S989P were 29%, 26%, and 22%, respectively. Conclusions: Insecticide resistance in both Ae. aegypti and Ae. albopictus is widespread in Asia, although the rates vary by country. Continuous monitoring of the resistance markers and modification of the control strategies will be important for preventing unexpected outbreaks. This systematic review and meta-analysis provided up-to-date information on insecticide resistance in dengue-endemic countries in Asia.
Published: 2022
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12. Health impact assessment of PM2.5 from a planned coal-fired power plant in Taiwan

Author: Chia-Pin Chio, Wei-Cheng Lo, Ben-Jei Tsuang, Chieh-Chun Hu, Kai-Chen Ku, Yung-Jen Chen, Hsien-Ho Lin, and Chang-Chuan Chan
Subjects: Medicine (General), R5-920
Abstract: Purpose: To investigate the impact of a planned coal-fired power plant (CFPPT) in Shenao on air quality and health at subnational levels in Taiwan. Methods: We applied the Gaussian trajectory transfer-coefficient (GTx) model to estimate annual average PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) increments in 19 Taiwanese cities and counties caused by CFPPT operation. A population health risk assessment was performed by incorporating evidence of the health effects of PM2.5 provided by prospective studies and estimating long-term PM2.5 exposure. Additionally, we considered ischemic heart disease, stroke, lung cancer, and chronic obstruct pulmonary disease as the primary outcomes. The population-attributable fraction was used to estimate the county-level mortality burden attributable to CFPPT-generated PM2.5 in 2025. Results: The estimated annual PM2.5 increments ranged from 0.004 μg/m3 (Taitung County) to 0.28 μg/m3 (Hsinchu County) due to the Shenao CFPPT. The total and premature deaths attributable to PM2.5 from Shenao CFPPT operation in Taiwan during 2025–2040 would be 576 (95% confidence interval [CI]: 537–619) and 145 (95% CI: 136–155), respectively. Notably, we estimated 198 (95% CI: 169–234) deaths and 58 (95% CI: 51–66) premature deaths, respectively, in New Taipei City, which accounted for over a quarter of the total deaths. Overall, the mortality rate attributable to the Shenao CFPPT in Taiwan was 6 per 10,000. Conclusion: A scientific approach should be adopted for assessing the impacts of CFPPT operation on population health, which can serve as a valuable policymaking reference for the government. Keywords: Coal-fired power plant (CFPPT), PM2.5, Gaussian trajectory transfer-coefficient modeling system (GTx), Global burden of disease (GBD), Comparative risk assessment (CRA)
Published: 2019
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13. Distinctive incidence patterns of follicular lymphoma in Taiwan: Implications of ethnic differences

Author: Shang‐Ju Wu, Yi‐Chu Chen, Wei‐Cheng Lo, Chun‐Ju Chiang, Chien‐Ting Lin, Shih‐Sung Chuang, and Mei‐Shu Lai
Subjects: age‐period‐cohort model, epidemiology, follicular lymphoma, incidence, survival, Taiwan, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Follicular lymphoma (FL) is less prevalent in Asians, but detailed epidemiological analyses were not available. This study aimed to characterize the epidemiologic features of FL in Taiwan to explore the factors relevant to disease development and prognosis. Methods We obtained epidemiological data for Taiwanese citizens during 1990‐2012 from Taiwan's National Cancer Registry Database, and the corresponding data for US Caucasians from the Surveillance, Epidemiology, and End Results Program. Changes in incidence rates were evaluated with age‐period‐cohort (APC) analyses. Patient outcomes were compared with 5‐year relative survival rates (RS) estimates. Results Incidence rates of FL in Taiwan increased continuously during the study period (0.34 to 0.91 per 100 000 person‐year from 1993‐1997 to 2008‐2012 in men, and from 0.29 [1993‐1997] to 0.81 [2008‐2012] in women), while rates in the US remained stable in both sexes, ranging between 3.73 and 3.96 in men and between 3.24 and 3.55 in women. Estimates of average annual percentage changes in incidence were significantly positive in Taiwan, but not in US Caucasians. Notably, the APC analysis identified a strong birth‐cohort effect in Taiwan, corresponding to environmental alterations present during the study period. The estimated 5‐year RS rates in both populations showed steady improvement, but the RS in Taiwanese patients was consistently 10% lower than in US Caucasians. Conclusion A distinct increasing trend of incidence with a strong birth‐cohort effect was identified in Taiwan, providing evidence of the association between environmental factors and disease development.
Published: 2019
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14. The influence of dataset homology and a rigorous evaluation strategy on protein secondary structure prediction.

Author: Teng-Ruei Chen, Chia-Hua Lo, Sheng-Hung Juan, and Wei-Cheng Lo
Subjects: Medicine, Science
Abstract: The secondary structure prediction (SSP) of proteins has long been an essential structural biology technique with various applications. Despite its vital role in many research and industrial fields, in recent years, as the accuracy of state-of-the-art secondary structure predictors approaches the theoretical upper limit, SSP has been considered no longer challenging or too challenging to make advances. With the belief that the substantial improvement of SSP will move forward many fields depending on it, we conducted this study, which focused on three issues that have not been noticed or thoroughly examined yet but may have affected the reliability of the evaluation of previous SSP algorithms. These issues are all about the sequence homology between or within the developmental and evaluation datasets. We thus designed many different homology layouts of datasets to train and evaluate SSP prediction models. Multiple repeats were performed in each experiment by random sampling. The conclusions obtained with small experimental datasets were verified with large-scale datasets using state-of-the-art SSP algorithms. Very different from the long-established assumption, we discover that the sequence homology between query datasets for training, testing, and independent tests exerts little influence on SSP accuracy. Besides, the sequence homology redundancy between or within most datasets would make the accuracy of an SSP algorithm overestimated, while the redundancy within the reference dataset for extracting predictive features would make the accuracy underestimated. Since the overestimating effects are more significant than the underestimating effect, the accuracy of some SSP methods might have been overestimated. Based on the discoveries, we propose a rigorous procedure for developing SSP algorithms and making reliable evaluations, hoping to bring substantial improvements to future SSP methods and benefit all research and application fields relying on accurate prediction of protein secondary structures.
Published: 2021
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15. A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction.

Author: Teng-Ruei Chen, Sheng-Hung Juan, Yu-Wei Huang, Yen-Cheng Lin, and Wei-Cheng Lo
Subjects: Medicine, Science
Abstract: Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years. With a vision of moving forward all related fields, we aimed to make a fundamental advance in SSP. There have been many admirable efforts made to improve the machine learning algorithm for SSP. This work thus took a step back by manipulating the input features. A secondary structure element-based position-specific scoring matrix (SSE-PSSM) is proposed, based on which a new set of machine learning features can be established. The feasibility of this new PSSM was evaluated by rigid independent tests with training and testing datasets sharing
Published: 2021
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16. A simple strategy to enhance the speed of protein secondary structure prediction without sacrificing accuracy.

Author: Sheng-Hung Juan, Teng-Ruei Chen, and Wei-Cheng Lo
Subjects: Medicine, Science
Abstract: The secondary structure prediction of proteins is a classic topic of computational structural biology with a variety of applications. During the past decade, the accuracy of prediction achieved by state-of-the-art algorithms has been >80%; meanwhile, the time cost of prediction increased rapidly because of the exponential growth of fundamental protein sequence data. Based on literature studies and preliminary observations on the relationships between the size/homology of the fundamental protein dataset and the speed/accuracy of predictions, we raised two hypotheses that might be helpful to determine the main influence factors of the efficiency of secondary structure prediction. Experimental results of size and homology reductions of the fundamental protein dataset supported those hypotheses. They revealed that shrinking the size of the dataset could substantially cut down the time cost of prediction with a slight decrease of accuracy, which could be increased on the contrary by homology reduction of the dataset. Moreover, the Shannon information entropy could be applied to explain how accuracy was influenced by the size and homology of the dataset. Based on these findings, we proposed that a proper combination of size and homology reductions of the protein dataset could speed up the secondary structure prediction while preserving the high accuracy of state-of-the-art algorithms. Testing the proposed strategy with the fundamental protein dataset of the year 2018 provided by the Universal Protein Resource, the speed of prediction was enhanced over 20 folds while all accuracy measures remained equivalently high. These findings are supposed helpful for improving the efficiency of researches and applications depending on the secondary structure prediction of proteins. To make future implementations of the proposed strategy easy, we have established a database of size and homology reduced protein datasets at http://10.life.nctu.edu.tw/UniRefNR.
Published: 2020
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17. All directional nanogenerators (NGs) with a highly flexible and near field electrospun concentrically aligned nano/micro P(VDF-TrFE) fibers

Author: Miao Hua Xu, Chin Yau Shie, Chih Chia Chen, Yee Kwan Kwan, Wei Cheng Lo, Hsuan Fan Chen, Yu Hsuan Lin, and Yiin Kuen Fuh
Subjects: Hardware and Architecture, Electrical and Electronic Engineering, Condensed Matter Physics, Electronic, Optical and Magnetic Materials
Published: 2022

18. Discovering the Ultimate Limits of Protein Secondary Structure Prediction

Author: Chia-Tzu Ho, Yu-Wei Huang, Teng-Ruei Chen, Chia-Hua Lo, and Wei-Cheng Lo
Subjects: protein secondary structure prediction, protein sequence, protein structure, protein sequence-based predictions, structural biology, Microbiology, QR1-502
Abstract: Secondary structure prediction (SSP) of proteins is an important structural biology technique with many applications. There have been ~300 algorithms published in the past seven decades with fierce competition in accuracy. In the first 60 years, the accuracy of three-state SSP rose from ~56% to 81%; after that, it has long stayed at 81–86%. In the 1990s, the theoretical limit of three-state SSP accuracy had been estimated to be 88%. Thus, SSP is now generally considered not challenging or too challenging to improve. However, we found that the limit of three-state SSP might be underestimated. Besides, there is still much room for improving segment-based and eight-state SSPs, but the limits of these emerging topics have not been determined. This work performs large-scale sequence and structural analyses to estimate SSP accuracy limits and assess state-of-the-art SSP methods. The limit of three-state SSP is re-estimated to be ~92%, 4–5% higher than previously expected, indicating that SSP is still challenging. The estimated limit of eight-state SSP is 84–87%. Several proposals for improving future SSP algorithms are made based on our results. We hope that these findings will help move forward the development of SSP and all its applications.
Published: 2021
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19. Adult mortality of diseases and injuries attributable to selected metabolic, lifestyle, environmental, and infectious risk factors in Taiwan: a comparative risk assessment

Author: Wei-Cheng Lo, Chu-Chang Ku, Shu-Ti Chiou, Chang-Chuan Chan, Chi‐Ling Chen, Mei-Shu Lai, and Hsien-Ho Lin
Subjects: Burden of disease, Comparative risk assessment, Modifiable risk factors, Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract: Abstract Background To facilitate priority-setting in health policymaking, we compiled the best available information to estimate the adult mortality (>30 years) burden attributable to 13 metabolic, lifestyle, infectious, and environmental risk factors in Taiwan. Methods We obtained data on risk factor exposure from nationally representative health surveys, cause-specific mortality from the National Death Registry, and relative risks from epidemiological studies and meta-analyses. We applied the comparative risk assessment framework to estimate mortality burden attributable to individual risk factors or risk factor clusters. Results In 2009, high blood glucose accounted for 14,900 deaths (95% UI: 11,850–17,960), or 10.4% of all deaths in that year. It was followed by tobacco smoking (13,340 deaths, 95% UI: 10,330–16,450), high blood pressure (11,190 deaths, 95% UI: 8,190–14,190), ambient particulate matter pollution (8,600 deaths, 95% UI: 7,370–9,840), and dietary risks (high sodium intake and low intake of fruits and vegetables, 7,890 deaths, 95% UI: 5,970–9,810). Overweight-obesity and physical inactivity accounted for 7,620 deaths (95% UI: 6,040–9,190), and 7,400 deaths (95% UI: 6,670–8,130), respectively. The cardiometabolic risk factors of high blood pressure, high blood glucose, high cholesterol, and overweight-obesity jointly accounted for 12,120 deaths (95% UI: 11,220–13,020) from cardiovascular diseases. For domestic risk factors, infections from hepatitis B virus (HBV) and hepatitis C virus (HCV) were responsible for 6,300 deaths (95% UI: 5,610–6,980) and 3,170 deaths (95% UI: 1,860–4,490), respectively, and betel nut use was associated with 1,780 deaths from oral, laryngeal, and esophageal cancer (95% UI: 1,190–2,360). The leading risk factors for years of life lost were similar, but the impact of tobacco smoking and alcohol use became larger because the attributable deaths from these risk factors occurred among young adults aged less than 60 years. Conclusions High blood glucose, tobacco smoking, and high blood pressure are the major risk factors for deaths from diseases and injuries among Taiwanese adults. A large number of years of life would be gained if the 13 modifiable risk factors could be removed or reduced to the optimal level.
Published: 2017
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20. Burden of disease attributable to ambient fine particulate matter exposure in Taiwan

Author: Wei-Cheng Lo, Ruei-Hao Shie, Chang-Chuan Chan, and Hsien-Ho Lin
Subjects: ambient fine particulate matter, burden of disease, subnational analysis, Medicine (General), R5-920
Abstract: There is compelling epidemiological evidence that links air pollution to increased risk of mortality from cardiopulmonary disease and lung cancer. We quantified the burden of mortality attributable to ambient fine particulate matter (PM2.5) among the Taiwanese population in 2014 at the national and subnational levels. Methods: Subnational PM2.5 exposure levels were obtained from Taiwan Air Quality Monitoring Network. Relative risks were derived from a previously developed exposure-response model. Population attributable fraction for cause-specific mortality was estimated at the county level using the estimated ambient PM2.5 concentrations and the relative risk functions. Results: In 2014, PM2.5 accounted for 6282 deaths [95% confidence interval (CI), 5716–6847], from ischemic heart disease (2244 deaths; 95% CI, 2015–2473), stroke (2140 deaths; 95% CI, 1760–2520), lung cancer (1252 deaths; 95% CI, 995–1509), and chronic obstructive pulmonary disease (645 deaths; 95% CI, 418–872). Nationally, the population attributable mortality fraction of PM2.5 for the four disease causes was 18.6% (95% CI, 16.9–20.3%). Substantial geographic variation in PM2.5 attributable mortality fraction was found; the percentage of deaths attributable to PM2.5 ranged from 8.7% in Hualian County to 21.8% in Yunlin County. In terms of absolute number of deaths, New Taipei and Kaohsiung cities had the largest number of deaths associated with PM2.5 (874 and 829 deaths, respectively) among all cities and counties. Conclusion: Ambient PM2.5 pollution is a major mortality risk factor in Taiwan. Aggressive and multisectorial intervention strategies are urgently needed to bring down the impact of air pollution on environment and health.
Published: 2017
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21. Incidence and survival of adult cancer patients in Taiwan, 2002–2012

Author: Chun-Ju Chiang, Wei-Cheng Lo, Ya-Wen Yang, San-Lin You, Chien-Jen Chen, and Mei-Shu Lai
Subjects: average annual percentage change of incidence, cancer, population-based cancer registry, relative survival, Taiwan, Medicine (General), R5-920
Abstract: Little is known about the annual changes in cancer incidence and survival that occurred after the establishment of the long-form cancer registry database in Taiwan. Therefore, this study aimed to investigate the updated incidence and stage-specific relative survival rates (RSRs) among adult cancer patients in Taiwan. Methods: Cancer incidence data from 2002 to 2012 were collected using the Taiwan Cancer Registry Database. Age-standardized incidence rates, average annual percent changes (AAPCs), and sex ratios were calculated for adults. Five-year stage-specific RSRs were estimated for cases diagnosed between 2004 and 2008 and were followed up to 2013 for major cancers. Results: The overall age-standardized incidence rates per 100,000 populations increased from 348.39 in 2002 to 401.18 in 2012, and the AAPC was 1.7% (p
Published: 2016
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22. Application of Urban Inundation Model in Flood Mitigation of Detention Pond

Author: Meng-Hsuan Wu and Wei-Cheng Lo
Abstract: The causes of inundation in urban areas were numerous and complex. Even though there were flood mitigation facilities, once the rainfall intensity and the downstream tidal level were exceedingly high, the flood in drainage could not be drained in time or even overflow. Detention pond was an important flood mitigation facility in recent years. However, the detention efficiency might be affected by the timing of the operation. The harmful runoff that cannot be drained caused flooding in the urban areas. In order to avoid the problem of flooding in the local area caused by the superposition of runoff, it was necessary to analyze the surface runoff of the urban areas caused by the storm events on the basis of the current flood mitigation facilities.The establishment of the PHD model was carried out to test the calculus of Typhoon Nesat in 2017, extremely heavy rainfall events 0823 in 2018 and 0813 in 2019 as a verification case. The water level between the simulated and measured results of the typhoon and rainfall events was compared. These results shows a good agreement in the peak value of water level, and the PHD model can reasonably calculate the runoff.Analyze the optimal conditions of the detention facilities. Based on two consecutive 10-year heavy rain events (with an interval of 12 hours), and start pumping at different delays, calculate the water depth to analyze the flood reduction effect of the detention facilities. Analysis of the flood reduction effect based on the average reduction of water depth, the results show that when the pumping is started about 4 hours after the flood peak, the effect of lowering the water level of the detention pond can be better.
Published: 2023

23. Using GAN for Imputation of Missing Recorded Data to Improve Groundwater Level Prediction Based on Deep Learning Methods

Author: Hsin Yu Chen, Wei-Cheng Lo, and Chih-Tsung Huang
Abstract: The development of civilization and the preservation of environmental ecosystems are strongly dependent on water resources. Typically, the insufficient supply of surface water resources for domestic, industrial, and agriculture needs is often supplemented by the ground water resources. However, the groundwater is a natural resource that must be accumulated over many years and cannot be recovered after a short period of recharge. Therefore, the long-term management of groundwater resources is an important issue for the sustainable development. The accurate prediction of groundwater levels is the first step to evaluate the total water resources and its allocation. However, in the process of data collection, data may be missing due to various factors. Thus, retracting the missing data is a main problem which any research field must deal with. It has been well known that to maintain the data integrity, one of the effective approaches is to choose missing value imputation (MVI) for tackling the problem. In addition, it has been demonstrated that the method of the machine learning may be a better tool. Therefore, the main purpose of this study is to utilize a generative adversarial network (GAN) that consists of a generative model and a discriminative model for imputation. Our result shows that GAN can improve the accuracy of water resource evaluations. In the current study, two interdisciplinary deep learning methods, Univariate and Seq2val, are used for groundwater level estimation. In addition to addressing the significance of the parameter conditions, the advantages and disadvantages of these two models in hydrological simulations are also discussed and compared. Finally, Seq2seq is employed to examine the limit of the models in long-term water level simulations. Our result suggests that the interdisciplinary deep learning approach may be beneficial for providing a better evaluation of water resources. Keywords: GAN，CNN，LSTM，Imputation，Groundwater prediction
Published: 2023

24. Does aggressive treatment make benefit for patients with spinal metastasis in years lost due to disability?

Author: Meng-Lei Su, Wei-Cheng Lo, Yung-Hsiao Chiang, Wen-Cheng Lo, and Jiann-Her Lin
Abstract: Introduction Spinal metastasis (SM) can cause pain and neurological deficits that devastate the life-quality of patients. While surgery can relieve pain and prevent neurological deficits, its high-costs and the relatively short-expected survival time raises concerns about cost-effectiveness. Therefore, this study aims to investigate whether aggressive treatment can decrease years lost due to disability (YLD) in SM patients and to identify the factors that distinguish cost-effective from non-cost-effective groups. This retrospective study included 41 patients who received aggressive treatment for SM between 2016 and 2021. We developed a worst-case model assuming that patients would only receive palliative care to assess the cost-effectiveness of aggressive treatment. We compared the YLD for each patient in the real-world scenario to those in the worst-case scenario and conducted a cost-effective analysis of medical expenses during hospital admission and one-year postoperative follow-up. The patients were divided into cost-effective and non-cost-effective groups based on cost-effectiveness definition. 13 patients were categorized as cost-effective, while 28 patients were not. The cost-effective group had better preoperative performance status (PS), lower spinal instability neoplastic score, longer predicted survival time based on the Tomita score/revised Tokuhashi score, and higher risk of deterioration based on the image study/SM location.
Published: 2023

25. Perceptions towards the COVID-19 Pandemic during Different Lockdown Levels among International Students in Taiwan

Author: Yi-Hao Weng, Wei-Ting Chien, Felix Trejos Prado, Chun-Yuh Yang, Hung-Yi Chiou, Wei-Cheng Lo, Chung Bui, and Ya-Wen Chiu
Subjects: Health, Toxicology and Mutagenesis, COVID-19, international student, lockdown, knowledge, attitude, practice, Public Health, Environmental and Occupational Health
Abstract: International students face many impediments under the COVID-19 pandemic. The objectives of this study are to assess the association between the perceptions of international students and the lockdown policy for COVID-19. In 2021, three different levels of lockdown policy were enforced, including level I from January to April, level III from May to July, and level II from August to December. We conducted three surveys for international graduate students using a validated questionnaire during the different lockdown levels. We collected 185, 119, and 83 valid questionnaires in level I, II, and III, respectively. There were linear trends in the correlations of lockdown policy with the knowledge (p = 0.052), attitudes (p = 0.002), and practices (p < 0.001) of COVID-19. In brief, the stricter the lockdown policy, the better the students adhered to sufficient knowledge, positive attitudes, and healthy practices. Furthermore, there were significant linear correlations of lockdown policy with the transportation, school study, leisure, family life, and diet behavior. In conclusion, lockdown policy had important impacts on the knowledge, attitudes, practices, and daily lives of international students. The findings indicated that the lockdown system and its corresponding measures appear to affect perceptions in a positive way.
Published: 2023
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26. Do Orthopedic Surgeons or Neurosurgeons Detect More Hip Disorders in Patients with Hip-Spine Syndrome? A Nationwide Database Study

Author: Tsung-Cheng Yin, Adam M. Wegner, Meng-Ling Lu, Yao-Hsu Yang, Yao-Chin Wang, Woon-Man Kung, and Wei-Cheng Lo
Subjects: hip-spine syndrome, total hip arthroplasty, orthopedic surgeon, neurosurgeon, Taiwan National Health Insurance Research Database, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Background: Disorders of the hip and lumbar spine can create similar patterns of pain and dysfunction. It is unknown whether all surgeons, regardless of orthopedic or neurosurgery training, investigate and diagnose concurrent hip and spine pathology at the same rate. Methods: Data were retrieved from Taiwan’s National Health Insurance Research Database (NHIRD). Enrolled patients were stratified into hip and spine surgery at the same admission (Both), hip surgery before spine surgery (HS), or spine surgery before hip surgery (SH). The SH group was further subdivided based on whether spine surgery was performed by an orthopedic surgeon (OS) or neurosurgeon (NS), and differences in preoperative radiographic examinations and diagnoses were collected and analyzed. Results: In total, 1824 patients received lumbar spine surgery within 1 year before or after hip replacement surgery. Of these, 103 patients had spine and hip surgery in the same admission (Both), 1290 patients had spine surgery before hip surgery (SH), and 431 patients had hip surgery before spine surgery (HS). In the SH group, patients were categorized into spine surgery by orthopedic surgeons (OS) (n = 679) or neurosurgeons (NS) (n = 522). In the SH group, orthopedic surgeons investigated hip pathology with X-rays more often (52.6% vs. 38.1%, p < 0.001) and diagnosed more cases of hip disease (43.6% vs. 28.9%, p < 0.001) than neurosurgeons. Conclusions: Of patients in Taiwan’s NHIRD who had concurrent surgical degenerative hip and lumbar spine disorders who had spine surgery before hip surgery, orthopedic surgeons obtained hip images and made hip-related diagnoses more frequently than did neurosurgeons.
Published: 2021
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27. Long-term exposure to ambient fine particulate matter (PM2.5) and associations with cardiopulmonary diseases and lung cancer in Taiwan: a nationwide longitudinal cohort study

Author: Wei-Cheng Lo, Chi-Chang Ho, Eva Tseng, Jing-Shiang Hwang, Chang-Chuan Chan, and Hsien-Ho Lin
Subjects: Adult, Air Pollutants, Lung Neoplasms, Epidemiology, Myocardial Ischemia, Taiwan, Coronary Artery Disease, Environmental Exposure, General Medicine, Cohort Studies, Air Pollution, Humans, Particulate Matter, Longitudinal Studies
Abstract: Background Although a number of studies have reported on the health effects of fine particulate matter (PM2.5) exposure, particularly in North American and European countries as well as China, the evidence about intermediate to high levels of PM2.5 exposures is still limited. We aimed to investigate the associations between long-term exposure to PM2.5 and risk of cardiopulmonary disease incidence in Taiwan with intermediate levels of PM2.5 exposure. Methods A cohort of Taiwanese adults, who participated in the 2001, 2005, 2009 and 2013 National Health Interview Surveys, was followed through 2016 to identify cardiopulmonary disease onset. Exposure to PM2.5 was estimated by incorporating a widespread monitoring network of air quality monitoring stations and microsensors. We used time-dependent Cox regression models to examine the associations between the PM2.5 exposures and health outcomes, adjusting for individual characteristics and ecological covariates. The natural cubic spline functions were used to explore the non-linear effects of the PM2.5 exposure. Results A total of 62 694 adults from 353 towns were enrolled. Each 10-μg/m3 increase in 5-year average exposure to PM2.5 was associated with a 4.8% increased risk of incident ischaemic heart disease (95% CI: -3.3, 13.6), 3.9% increased risk of incident stroke (95% CI: -2.9, 11.1), 6.7% increased risk of incident diabetes (95% CI: 1.1, 12.7), 15.7% increased risk of incident lung cancer (95% CI: -0.9, 35.1) and 11.5% increased risk of incident chronic obstructive pulmonary disease (95% CI: -0.8, 25.2). The concentration-response curve showed that there was no statistical evidence of non-linearity for most of the disease outcomes except for ischaemic heart disease (P for non-linearity = 0.014). Conclusions Long-term exposure to intermediate levels of ambient PM2.5 was associated with cardiopulmonary health outcomes. Our study adds value to future application and national burden of disease estimation in evaluating the health co-benefits from ambient air pollution reduction policy in Asian countries.
Published: 2022

28. Global burden of tuberculosis attributable to cancer in 2019: Global, regional, and national estimates

Author: Wei Cheng Lo, Hsien-Ho Lin, and Bing Jie Shen
Subjects: 0301 basic medicine, Microbiology (medical), Tuberculosis, 030106 microbiology, Population, World Health Organization, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Neoplasms, Environmental health, medicine, Humans, Immunology and Allergy, 030212 general & internal medicine, Risk factor, education, education.field_of_study, General Immunology and Microbiology, business.industry, Incidence, Incidence (epidemiology), Cancer, General Medicine, medicine.disease, United States, Confidence interval, Infectious Diseases, Relative risk, Attributable risk, business
Abstract: Background Cancer is an independent risk factor for tuberculosis (TB). The global burden of incident TB attributable to cancer has never been explored. We aimed to evaluate the cancer-attributable burden of TB. Methods We estimated the population attributable fraction (PAF) by Levin's formula. The cancer prevalence rates were derived from the Institute for Health Metrics and Evaluation. The relative risks for cancer and TB were estimated by using the National Health Insurance Research Database in Taiwan. The global burden of incidence TB attributable to cancer was the weighted sum of PAFs multiplied by the incidence of TB retrieved from the World Health Organization. Results Worldwide, the total of incident TB cases attributable to cancer was 115,478 cases with a 95% confidence interval (CI), 110,482-123,007. The global PAF of TB due to cancer was 1.85% (95% CI, 1.77-1.97%). The three countries with the highest PAFs were Greenland (7.77%), Canada (7.75%), and the United States of America (6.79%), while the three countries with the highest attributable TB cases due to cancer were China (25,240), India (21,629), and Indonesia (13,917). Cancer of respiratory system contributed to 60,257 of TB cases. Conclusions This study comprehensively explored the impact of cancer on the global burden of TB. Efforts to reduce cancer risk, delay the occurrence of cancer, or treat latent TB infection in the cancer population could potentially reduce the burden of TB and rely on formulating integrated strategies.
Published: 2022

29. Exploration of Brain Connectivity during Human Inhibitory Control Using Inter-Trial Coherence

Author: Rupesh Kumar Chikara, Wei-Cheng Lo, and Li-Wei Ko
Subjects: electroencephalography (eeg), inhibitory control, brain connectivity, inter-trial coherence (itc), frontal lobe, temporal lobe, delta band, theta band, Chemical technology, TP1-1185
Abstract: Inhibitory control is a cognitive process that inhibits a response. It is used in everyday activities, such as driving a motorcycle, driving a car and playing a game. The effect of this process can be compared to the red traffic light in the real world. In this study, we investigated brain connectivity under human inhibitory control using the phase lag index and inter-trial coherence (ITC). The human brain connectivity gives a more accurate representation of the functional neural network. Results of electroencephalography (EEG), the data sets were generated from twelve healthy subjects during left and right hand inhibitions using the auditory stop-signal task, showed that the inter-trial coherence in delta (1−4 Hz) and theta (4−7 Hz) band powers increased over the frontal and temporal lobe of the brain. These EEG delta and theta band activities neural markers have been related to human inhibition in the frontal lobe. In addition, inter-trial coherence in the delta-theta and alpha (8−12 Hz) band powers increased at the occipital lobe through visual stimulation. Moreover, the highest brain connectivity was observed under inhibitory control in the frontal lobe between F3-F4 channels compared to temporal and occipital lobes. The greater EEG coherence and phase lag index in the frontal lobe is associated with the human response inhibition. These findings revealed new insights to understand the neural network of brain connectivity and underlying mechanisms during human response inhibition.
Published: 2020
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30. Mortality, morbidity, and risk factors in Taiwan, 1990–2017: findings from the Global Burden of Disease Study 2017

Author: Chang-Chuan Chan, Yun Chun Wu, Hsien-Ho Lin, Shu-Sen Chang, Tsung Hsueh Lu, and Wei Cheng Lo
Subjects: Population ageing, medicine.medical_specialty, China, Medicine (General), Taiwan, Population health, Global Health, Global Burden of Disease, 03 medical and health sciences, 0302 clinical medicine, R5-920, Japan, Risk Factors, Environmental health, Health care, Republic of Korea, medicine, Humans, Modifiable risk factors, East Asia, Disease burden, Health policy, Public health, business.industry, Epidemiological transition, General Medicine, 030220 oncology & carcinogenesis, 030211 gastroenterology & hepatology, Morbidity, business
Abstract: Background Taiwan has implemented a national health insurance system since 1995 with high coverage and utilization rate. However, the health care system in Taiwan is facing immense challenges due to rapid population ageing. We have evaluated the landscape of population health by revisiting the results of GBD 2017 study. Methods Taiwan vital registration data (1980–2016) and Taiwan national health insurance database (2016) were used. We also conducted benchmarking comparisons with selected countries in East Asia from 1990 to 2017. Results The age-standardized disability-adjusted life-year (DALY) rates decreased by one-quarter from 1990 to 2017; however, progress was relatively slow compared to the comparator countries and has been stagnant recently. The Social-demographic Index (SDI) level in Taiwan in 2017 was 0.86, which is similar to Japan, Singapore, and South Korea in 2017, while the SDI level of China in 2017 was similar to that of Taiwan (0.69) in 1990. Although Taiwan's SDI reached the same level as those in Japan, Singapore, and South Korea in 2017, modifiable risk factors still contributed to nearly half of Taiwan's total disease burden. Five leading risk factors (high fasting plasma glucose, high body-mass index, alcohol use, illicit drug use, and impaired kidney function) accounted for a higher DALY rate in Taiwan than comparator countries in 2017. Conclusion Taiwan made marked progress in health from 1990 to 2017. However, interventions targeted on major modifiable disease risk factors should be prioritized to realize the full potential of heath improvement in the process of rapid socioeconomic development.
Published: 2021

31. SeqCP: A sequence-based algorithm for searching circularly permuted proteins

Author: Chi-Chun Chen, Yu-Wei Huang, Hsuan-Cheng Huang, Wei-Cheng Lo, and Ping-Chiang Lyu
Subjects: Structural Biology, Genetics, Biophysics, Biochemistry, Computer Science Applications, Biotechnology
Abstract: Circular permutation (CP) is a protein sequence rearrangement in which the amino- and carboxyl-termini of a protein can be created in different positions along the imaginary circularized sequence. Circularly permutated proteins usually exhibit conserved three-dimensional structures and functions. By comparing the structures of circular permutants (CPMs), protein research and bioengineering applications can be approached in ways that are difficult to achieve by traditional mutagenesis. Most current CP detection algorithms depend on structural information. Because there is a vast number of proteins with unknown structures, many CP pairs may remain unidentified. An efficient sequence-based CP detector will help identify more CP pairs and advance many protein studies. For instance, some hypothetical proteins may have CPMs with known functions and structures that are informative for functional annotation, but existing structure-based CP search methods cannot be applied when those hypothetical proteins lack structural information. Despite the considerable potential for applications, sequence-based CP search methods have not been well developed. We present a sequence-based method, SeqCP, which analyzes normal and duplicated sequence alignments to identify CPMs and determine candidate CP sites for proteins. SeqCP was trained by data obtained from the Circular Permutation Database and tested with nonredundant datasets from the Protein Data Bank. It shows high reliability in CP identification and achieves an AUC of 0.9. SeqCP has been implemented into a web server available at: http://pcnas.life.nthu.edu.tw/SeqCP/.
Published: 2022

32. Lifetime exposure to PM

Author: Wei-Cheng, Lo, Tsuey-Hwa, Hu, and Jing-Shiang, Hwang
Subjects: Air Pollutants, Air Pollution, Humans, Disability-Adjusted Life Years, Particulate Matter, Public Health, Environmental Exposure, Aged
Abstract: As knowledge of the health risks of PMWe created study cohorts of 3.5 million older people living in 350 townships in Taiwan. We used a weighted regression model, with adjustments of area characteristic variables, to directly estimate the impacts of lifetime mean PMEach 10 μg/mReducing PM
Published: 2022

33. Sugar- and artificially-sweetened beverages and the risks of chronic kidney disease: a systematic review and dose–response meta-analysis

Author: Mai Szu Wu, Wei Cheng Lo, Shih Hsiang Ou, Mei Yi Wu, Jin Shuen Chen, and Chu Lin Chou
Subjects: Adult, Nephrology, medicine.medical_specialty, 030232 urology & nephrology, Renal function, 030204 cardiovascular system & hematology, Beverages, 03 medical and health sciences, 0302 clinical medicine, Statistical significance, Internal medicine, medicine, Humans, Renal Insufficiency, Chronic, Sugar-Sweetened Beverages, business.industry, Artificially Sweetened Beverages, food and beverages, medicine.disease, Confidence interval, Sweetening Agents, Relative risk, Meta-analysis, Albuminuria, medicine.symptom, Sugars, business, Kidney disease
Abstract: Consumption of sugar or artificially-sweetened beverages (SASBs) has been linked to albuminuria, decline in kidney function, and risk of chronic kidney disease (CKD). However, the results are controversial. We therefore aim to evaluate the effects of sugar or artificially-sweetened beverage consumption on CKD risk. Original observational studies reporting relative risks (RRs) with 95% confidence intervals (CIs) for the association between sugar or artificially-sweetened beverage consumption and impaired renal function or CKD risk in adults were identified using a systematic search of PubMed and EMBASE from inception to 20 February, 2019. Random effects model was applied to derive summary RRs and 95% CIs. Linear and non-linear dose–response relationships were estimated using data from sugar or artificially-sweetened beverage consumption categories in each study. The summary RR of CKD for high versus low sugar-sweetened beverage consumption was 1.30 (95% CI 0.88–1.94) according to six included studies with a total of 25,455 participants, while the pooled RR of CKD for high versus low artificially sweetened beverage consumption was 1.40 (95% CI 0.65–3.02) according to three studies with a total of 19,995 participants. For dose–response analysis, a significant, increased risk of CKD was observed with the sugar or artificially-sweetened beverage consumption above seven servings per week (P
Published: 2021

34. Influence of pore water pressure change on consolidation behavior of saturated poroelastic medium

Author: Cheng Wei Lin, Wei Cheng Lo, C. F. Ding, and Chao Lung Yeh
Subjects: lcsh:GE1-350, Consolidation (soil), Water table, Constitutive equation, Poromechanics, lcsh:QE1-996.5, Subsidence, General Medicine, Water level, lcsh:Geology, Pore water pressure, Geotechnical engineering, Geology, Groundwater, lcsh:Environmental sciences
Abstract: There are many factors causing land subsidence, and groundwater extraction is one of the most important causes of subsidence. A set of coupled partial differential equations are derived in this study by using the poro-elasticity theory and linear stress-strain constitutive relation to describe the one-dimensional consolidation in a saturated porous medium subjected to pore water pressure change due to groundwater table depression. Simultaneously, the closed-form analytical solutions for excess pore water pressure and total settlement are obtained. To illustrate the consolidation behavior of the poroelastic medium, the saturated layer of clay sandwiched between two sand layers is simulated, and the dimensionless pore water pressure changes with depths and the dimensionless total settlement as function of time in the clay layer are examined. The results show that the greater the water level change in the upper and lower sand layers, the greater the pore water pressure change and the total settlement of the clay layer, and the more time it takes to reach the steady state. If the amount of groundwater replenishment is increased, the soil layer will rebound.
Published: 2020

35. Lifetime exposure to PM2.5 air pollution and disability-adjusted life years due to cardiopulmonary disease: A modeling study based on nationwide longitudinal data

Author: Wei-Cheng Lo, Tsuey-Hwa Hu, and Jing-Shiang Hwang
Subjects: Environmental Engineering, Environmental Chemistry, Pollution, Waste Management and Disposal
Published: 2023

36. County-Wide Mortality Assessments Attributable to PM

Author: Chia-Pin, Chio, Wei-Cheng, Lo, Ben-Jei, Tsuang, Chieh-Chun, Hu, Kai-Chen, Ku, Yi-Sheng, Wang, Yung-Jen, Chen, Hsien-Ho, Lin, and Chang-Chuan, Chan
Subjects: Air Pollutants, Coal, Air Pollution, Taiwan, Particulate Matter, Power Plants
Abstract: Over one-third of energy is generated from coal consumption in Taiwan. In order to estimate the health impact assessment attributable to PM
Published: 2021

37. Efficacy of Osteoporosis Medications for Patients With Chronic Kidney Disease: An Updated Systematic Review and Network Meta-Analysis

Author: Chia-Hsien Chen, Wei-Cheng Lo, Ping‐Jen Hu, Hsiu-Chen Chan, Wan-Chen Shen, Mai-Szu Wu, and Mei-Yi Wu
Subjects: Pharmacology, fracture, Pharmacology (medical), Therapeutics. Pharmacology, RM1-950, bone mineral density, osteoporosis, network meta-analysis, chronic kidney disease
Abstract: Background: Chronic kidney disease (CKD) is associated with bone and mineral metabolism. In this study we evaluated the comparative efficacies and safety of osteoporosis medications in patients with CKD or a history of kidney transplantation, and make recommendations for the best choice of osteoporosis treatment among patients with CKD or a history of kidney transplantation.Methods: We systemically searched for randomized controlled trials published in PubMed, Embase, and Cochrane databases up to June 2020. Network-meta analysis was used to compare the relative effectiveness of different treatments. A random-effects model was used when heterogeneity was expected. The safety of different treatments was also evaluated in terms of reported major adverse events.Results: A total of 17 studies with data from 10,214 patients who had stage 2–5 CKD, were receiving dialysis, or had a history of kidney transplantation were included in the network meta-analysis. Treatment with teriparatide, denosumab, alendronate, and raloxifene were all associated with a significantly reduced risk of fractures compared to treatment with placebos [teriparatide: odds ratio (OR) = 0.19, 95% confidence interval (CI): 0.10–0.35; denosumab: OR = 0.40, 95% CI: 0.27–0.58; alendronate: OR = 0.61, 95% CI: 0.40–0.92; raloxifene: OR = 0.52, 95% CI: 0.41–0.67]. The rank probability and the surface under the cumulative ranking (SUCRA) values suggested that teriparatide ranked the highest for improvement in vertebral bone mineral density (BMD) (SUCRA = 97.8%), whereas denosumab ranked the highest for improvement in femoral neck BMD (SUCRA = 88.3%).Conclusion: Teriparatide and denosumab seem to be the most effective treatments for preventing bone loss and reducing the risk of fracture in our network comparison. However, because of the limitations and potential biases in the reviewed studies, there is still some uncertainty about the best treatment options for osteoporosis in patients with CKD or a history of kidney transplantation.Systematic Review Registration: [PROSPERO], identifier [CRD42020209830].
Published: 2021

38. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Luxia Zhang, Young-Ho Khang, Ellina Rakhimova, Kairit Mikkel, Tiina Vlasoff, Eruke E. Egbagbe, Sidsel Graff-Iversen, Ilona Nenko, Magdalena Klimek, Mathilde Savy, Sanjib Kumar Sharma, Alfonso Siani, Luís Lopes, Vanina Bongard, Gregor Jurak, Jacqueline F. Price, Christina-Paulina Lambrinou, Maria Lc Iurilli, Rainford J. Wilks, Bontha V. Babu, Fereidoun Azizi, Harunobu Nakamura, Marialaura Bonaccio, Angela Döring, Zhenyu Zhang, Naser Ahmadi, Jolanta Słowikowska-Hilczer, Ana Paula Carlos Cândido, Clive Osmond, Thirunavukkarasu Sathish, Robert J. Adams, Themistoklis Tzotzas, Reina Engle-Stone, Atul Trivedi, Shoichiro Tsugane, Niels Møller, Jorge Bezerra, Dénes Molnár, Muhammad Fadhli Mohd Yusoff, Badreya Al-Lahou, J. Jaime Miranda, Bahram Mohajer, Sigmund A. Anderssen, Lital Keinan Boker, Eero Kajantie, Martin Gulliford, Maties Torrent, Sumit Bharadwaj, Toshiharu Ninomiya, Zbigniew Gaciong, Nayu Ikeda, Li Juan Wu, Adrian Richter, Licia Iacoviello, Marc J. Gunter, Wenbin Wei, Norsyamlina Che Abdul Rahim, Eman Aly, Ambady Ramachandran, Nils Lehmann, Soile E. Puhakka, Giovanni Veronesi, Hongsheng Bi, Eiji Oda, Jia Li Duan, Per Tynelius, José María Huerta, Janne Schurmann Tolstrup, Rodrigo M. Carrillo-Larco, Rosangela Fernandes Lucena Batista, Victoria E Soto-Rojas, Hanno Ulmer, Shukri F. Mohamed, Anthony Kafatos, Suyeon Park, Mohsen Ibrahim, Hamed Pouraram, Bin Zhou, May Soe Aung, Lars Bo Andersen, Erfan Ghasemi, René Charles Sylva, Himanshu K. Chaturvedi, Luc Dauchet, Ahmad Ali Zainuddin, Angela Chetrit, Dan Zhu, Valérie Deschamps, Ko Ko Zaw, Peter Vollenweider, Tomas Vega, Yves Martin-Prével, Mahfuzar Rahman, Dorja Vočanec, Roman Topor-Madry, Vinay Nangia, Herculina S. Kruger, Asher Fawwad, Emily Sonestedt, Elena Pahomova, Aleksander Giwercman, Elżbieta Dziankowska-Zaborszczyk, Cecilia Björkelund, Tatjana Hejgaard, Maria Puiu, Maria Benedetta Donati, Andrew Wong, Carlos P. Boissonnet, Santosh K. Bhargava, Patrick Kolsteren, Dermot O'Reilly, Bahareh Kheiri, Wolfgang Kratzer, Susanne R. de Rooij, H. Bas Bueno-de-Mesquita, Günther Fink, José R. Banegas, Michele Monroy-Valle, Drude Molbo, Mahmudur Rahman, Hynek Pikhart, Rafael N. Pichardo, Massimo Salvetti, Hui Cai, Sarah Filippi, Georg Posch, Hung-Kwan So, Yonghua Hu, Katsuyasu Kouda, Joana Carvalho, Gailute Bernotiene, Hannu Uusitalo, Thein Thein Htay, Felix Kaducu, Maigeng Zhou, Lars Ängquist, Thi Tuyet-Hanh Tran, Charles Lunogelo, Michel Joffres, Sabina Zambon, Ronald D. Gregor, Vayia Rarra, Seyed Mohammad Hashemi-Shahri, Loreto Santa Marina, Galina Obreja, Rudolf Kaaks, Aya Mostafa, Maria do Carmo Franco, Beata Gurzkowska, Chien-Jen Chen, Marie Moitry, Nizal Sarrafzadegan, Xiangjun Wang, Diego Giulliano Destro Christofaro, Imperia Brajkovich, Fangfang Chen, Francesco Panza, Ling Yang, Holly E. Syddall, Cecily Kelleher, Michael Tornaritis, Ningli Wang, Lutgarde Thijs, Marjolein Visser, Angelika Schaffrath Rosario, María José Tormo, Jostein Steene-Johannessen, Norbert Amougou, Emmanuella Magriplis, Mar Alvarez-Pedrerol, Jingli Gao, Stig E. Bojesen, Giuseppe Grosso, Seongjun Ha, Lauren Lissner, Mikhail Benet, Anastasia Markaki, Sanjay Rampal, Antônio Augusto Moura da Silva, Maria Lorenza Muiesan, Angelique Chan, Yvonne T. van der Schouw, Annamari Lundqvist, Philippe Amouyel, Kristyna Zejglicova, Charalambos Hadjigeorgiou, João Breda, Jørgen Meisfjord, Fatima Zahra Laamiri, Carl Lachat, Kai-Uwe Saum, Vilma Irazola, Leng Huat Foo, Óscar Lopes, Dickman Gareta, Flavio Nervi, Imre Janszky, Ruzena Kubinova, Terho Lehtimäki, Mario V. Capanzana, Moyses Szklo, Ramfis Nieto-Martínez, Viswanathan Mohan, Shuohua Chen, Arvind Pandey, Luigi Palmieri, Roya Kelishadi, Srinivasan Kannan, Jie Mi, Robert Beaglehole, Liliana Dacica, Jyrki K. Virtanen, Mohan Deepa, Peter Ueda, Isti Ilmiati Fujiati, Hermann Pohlabeln, Morten Sodemann, Jytte Halkjær, Zbigniew Kułaga, Sophie Visvikis-Siest, Farshad Farzadfar, Mohsen Azimi-Nezhad, Henry Völzke, Karolina Milkowska, Zahra Mohammadi, Belgin Ünal, Magda Gasull, George S. Stergiou, Marshall K. Tulloch-Reid, Seppo Koskinen, James E. Bennett, Marcela González-Gross, Virginija Dulskiene, Idris Guessous, Assembekov Batyrbek, Kamarul Imran Musa, Jeannette Lee, Josep Redon, Bihungum Bista, Luisa M Macieira, Johan Sundström, Andres Metspalu, Lariane M Ono, Flora A. Ukoli, Salar Rahimikazerooni, Andrea Gualtieri, Trevor S. Ferguson, Félicité Tchibindat, Eliza Cinteza, Ha Tp Do, Tajana Zeljkovic Vrkic, Tuyen D Le, Alison J. Hayes, Abdul Basit, Chandini Nekkantti, Teresa Norat, Eunice Ugel, Gulmira Aitmurzaeva, Mariachiara Di Cesare, Abdul Hamid Zargar, Vincenzo Solfrizzi, Garry L. Jennings, Aline Meirhaeghe, Kaare Christensen, Päivi Mäki, Xu Lin, Ali Esmaeili, Joanna Baran, Aneta Grajda, Renata Cifkova, Alexandre C. Pereira, Martin Bobak, Iuliia A Rusakova, Keiu Nelis, Damian K Francis, Guansheng Ma, Axel C. Carlsson, Alejandro Diaz, Alireza Ansari-Moghaddam, N Capkova, Zumin Shi, Maria Turley, Imelda A. Agdeppa, Helena I. S. Nogueira, Marcia Scazufca, Katharina Maruszczak, Natascia Rinaldo, Paulo A. Lotufo, Nuno Lunet, Thor Aspelund, Caroline H.D. Fall, Antonio Cabrera de León, Ahmad Faudzi Yusoff, Holger Theobald, Beatriz D'Agord Schaan, Pedro Marques-Vidal, William A. Neal, Mihai Gafencu, Tandi E. Matsha, Ana B. Crujeiras, Ahmad Reza Dorosty, Alain Morejon, Weili Yan, Dominique Hange, Bekbolat Zholdin, Frédéric Gottrand, Jorge Mota, Jana Námešná, Stevo Popovic, Louise Eriksen, Line Lund Kårhus, Cihangir Erem, Juergen Breckenkamp, Mathilde Kersting, Yi Song, Martin McKee, Aleksandra Gomula, Rafaela Rosário, Enzo Manzato, S. Goya Wannamethee, Sounnia Mediene Benchekor, Azim Nejatizadeh, Krishna Kumar Aryal, Juan P. González-Rivas, Vedrana Sember, Stephen T. McGarvey, Jukka T. Salonen, Patrick Pasquet, Patricia Varona-Pérez, Amelia C. Crampin, Ramin Heshmat, Violeta Iotova, Juvenal Soares Dias-da-Costa, Oye Gureje, Aletta E. Schutte, João Luiz Bastos, Anelise Reis Gaya, Konrad Jamrozik, Dalia Luksiene, Amina Barkat, Maria Paula Santos, José Camolas, Azli Baharudin, Diego Vanuzzo, Doris Stöckl, Rosalynn Siantar, Jouko Saramies, Albertino Damasceno, Davood Khalili, Simona Bo, Martina Müller-Nurasyid, Dominique Cottel, Markku Peltonen, Fikru Tullu, Ana Isabel Rito, Angélica Ochoa-Avilés, Annette J. Dobson, Christopher T. Cowell, Charumathi Sabanayagam, Rildo de Souza Wanderley Júnior, Oanh T. H. Trinh, Farahnaz Joukar, Mostafa K. Mohamed, Mostafa Qorbani, Jeongseon Kim, Helmut Schröder, Machi Suka, Natasja M. van Schoor, Jussi Kauhanen, Teresa Haugsgjerd, Goodarz Danaei, M. Fernanda Lima-Costa, Yong Tao, Elisabetta L. Romeo, Grazyna Jasienska, Victor Guillermo Sequera, Kazem Mohammad, Yanina Zócalo, Fernanda Cunha Soares, Jianfeng Wu, Mohammad Esmaeel Motlagh, María Elena Díaz-Sánchez, Monika Zuziak, Eldridge Ferrer, Anette Varbo, Leila Beltrami Moreira, Jeremy M. Jacobs, Kenneth James, Elena Sacchini, Pascal Bovet, Mahboubeh Parsaeian, Tania Lopez, Ya Xing Wang, Wojciech Drygas, Jody C Miller, Svetlana A. Shalnova, Maria Elisa Zapata, Chung T Nguyen, Nimmathota Arlappa, Edwige Landais, Thorkild I. A. Sørensen, Jeannette Klimont, Amirabbas Momenan, Erik J. Timmermans, Mari-Liis Tammesoo, Jost B. Jonas, Stefania Toselli, Maria Teresa Anselmo Olinto, Bahman Cheraghian, Kouamelan Doua, Esteban Carmuega, Marjeta Mišigoj-Duraković, Bo Werner, M. Arfan Ikram, Breige A. McNulty, Christa Meisinger, Clara Homs, Namuna Shrestha, Alina Kerimkulova, Youcef Laid, Claes Ohlsson, Alicia Matijasevich, Alison J Price, Ala'a Alkerwi, Kristine H. Allin, Lorenza Pilotto, Mohannad Al Nsour, Ingunn Holden Bergh, Marianna Noale, Heba Fouad, Vilnis Dzerve, Novie O. Younger-Coleman, Peter Willeit, Andrea R. V. R. Horimoto, Freda Pitakaka, Habiba Ben Romdhane, Savvas C. Savva, Rajeev Gupta, Jennifer Servais, Cristina Padez, Sarah P. Garnett, Maria del Cristo Rodriguez-Perez, Michala Lustigová, Tien Yin Wong, Rosa Haghshenas, Jonathan Giovannelli, Christina Howitt, Marleen E. Hendriks, Fadia AlBuhairan, Huashuai Chen, Gretchen A Stevens, Luís B. Sardinha, David Goltzman, Jenny M. Kindblom, Karina Mary de Paiva, Yousef Khader, Eric Monterrubio-Flores, Rajendra Pradeepa, Yi-Ting Lin, Martin Neovius, Juan Francisco Miquel, Ellis Owusu-Dabo, Anil Poudyal, Marzieh Katibeh, Tanja Stocks, Veronica Mocanu, Ulla Roggenbuck, Robespierre Ribeiro, Gabriele Eiben, Mary Simon, Christine Cameron, Hamid Hakimi, Kamel Ajlouni, Jakub Stokwiszewski, Iulia Jurca Simina, Pietro Amedeo Modesti, Frederick C. W. Wu, Peter Kristensen, Charles Mondo, Felix Gutzwiller, Mariana Sbaraini, Martijn Huisman, Betina H. Thuesen, Queenie Chan, Antonisamy Belavendra, Artur Mazur, Ulf Ekelund, Laura A. Rodríguez-Villamizar, Marcos André Moura-dos-Santos, Jean Ferrières, Farhad Zamani, Shina Avi, Yves Kameli, Luis Paulo Gomes Mascarenhas, Aluísio J D Barros, Thomas Meinertz Dantoft, Hossein Poustchi, Farid Najafi, Giovanni de Gaetano, Azaliia M Tuliakova, Vera Lanska, Tint Swe Latt, Matthias Bopp, Abbas Rezaianzadeh, Rod Jackson, Johan Van der Heyden, Reecha Sofat, Koen Van Herck, Allan G. Hill, Con Burns, Emanuela Pettenuzzo, Ming-Dong Wang, Stela McLachlan, Ulrike Gehring, Ranko Stevanovic, Nagalla Balakrishna, Lekhraj Rampal, Marjolijn C. E. Bragt, Saeid Eslami, Napoleón Pérez-Farinós, G. K. Mini, Viktoria Anna Kovacs, Rosemarie Martin, Nahla Hwalla, Wei Zheng, Hoang Van Minh, Edward D Janus, Laetitia Huiart, Farhad Pourfarzi, Sudha Ramachandra Rao, Fred Paccaud, Marcia Makdisse, Aye Aye Sein, Enrique Gutiérrez-González, Yang Yang, Anneke Blokstra, Henrike Galenkamp, Jaume Marrugat, Nazan Yardim, Wan Nazaimoon Wan Mohamud, Jesús Ibarluzea, Julio Zuñiga Cisneros, Laura Lauria, Argyro Karakosta, Dragana P Jovic, Jun Hata, Elio Riboli, Piotr Bandosz, Xun Tang, Parvina Mukhtorova, Jean Dallongeville, Jean-Bernard Ruidavets, Anne Tjønneland, Guillermo Frontera, Rahul Malhotra, Thomas Ferrao, Aleksandra Piwońska, Dusan Grafnetter, Mette Rasmussen, Daniel Weghuber, Sherali Rakhmatulloev, Martine Vrijheid, Johann Willeit, Motahareh Kheradmand, Małgorzata Mossakowska, Lechaba Tshepo, Dongfeng Gu, Hyeon Chang Kim, Vilmundur Gudnason, Maria Forsner, Peter Bjerregaard, Leon A. Simons, Rachael McLean, Japhet Killewo, Ramón Suárez-Medina, Y Nikitin, Eng Joo Tan, Jean Claude Mbanya, Aroor Bhagyalaxmi, Renata Kuciene, Kairat Davletov, Jose Eugenio Lozano, Afshin Ostovar, Niloofar Peykari, Guy De Backer, Soheir H Ahmed, Nicholas J. Wareham, Sai Yin Ho, Constanta Huidumac Petrescu, Maria Hassapidou, Iris Pigeot, Myriam Galfo, Susana Cararo Confortin, Blanca Sandra Ruiz-Betancourt, W. M. Monique Verschuren, Catterina Ferreccio, Fabio Galvano, Leila Houti, Daniel Bia, Annika Rosengren, Marcin Rutkowski, Biruta Velika, Joana Araújo, Fernando Rigo, Angela Spinelli, Scott B. McLean, Shirin Djalalinia, Marie Kunešová, Boban Mugoša, Sania Nishtar, Mangesh S. Pednekar, Shahla AlDhukair, Helle-Mai Loit, Antonis Zampelas, Altan Onat, Maciej Banach, Shohreh Naderimagham, Hajer Aounallah-Skhiri, Maja Bæksgaard Jørgensen, Yin Guo, Ewelina Czenczek-Lewandowska, Parasmani Dasgupta, Elvis Oa Wambiya, Inge Huybrechts, Raimund Erbel, Jari Jokelainen, Ana P. Ortiz, Stefan Kiechl, Emmanuel Cohen, Caleb Ochimana, Shynar Abdrakhmanova, Laura Censi, Iqbal Bata, Geetha R Menon, Snehalatha Chamukuttan, Pedro Plans-Rubio, Domenico Palli, Ana Azevedo, Slawomir Koziel, Benoît Salanave, Parinaz Mehdipour, Shu Ti Chiou, Lela Sturua, Lubica Ticha, Felipe Vogt Cureau, Jin Soo Moon, Ming-Hui Zhao, Urho M. Kujala, Nathalie Michels, Ertugrul Celikcan, Jaakko Tuomilehto, Judith Benedics, Tobias F. Rinke de Wit, Agnès Le Port, Reza Homayounfar, Andrea Rodriguez-Martinez, Tai Hing Lam, Yn-Tz Sung, Jürgen König, Kodavanti Mallikharjuna Rao, Hazzaa M. Al-Hazzaa, Karen Morgan, Bogdan Wojtyniak, Cynthia M. Pérez, Ilse Khouw, Manoli Garcia-de-la-Hera, Dong Wook Shin, Genc Burazeri, Ausra Petrauskiene, Charles Sossa Jérome, Kenisha Russell Jonsson, José Boggia, Daniela Galeone, Alice Bonilla-Vargas, Han Cg Kemper, Rahman Shiri, Stefaan Demarest, Else Karin Grøholt, San-Lin You, Adelheid Weber, Juha Auvinen, Aida Pilav, Sibel Gogen, Suzanne N Morin, Wan Mohamad Wan Bebakar, Viviane Cunha Cardoso, Kavumpurathu Raman Thankappan, Hana Zamrazilová, Frank Claessens, Karien Stronks, Helen Gonçalves, Tahir Aris, Luis Revilla, Sérgio Viana Peixoto, Zhamilya Battakova, Jing Liu, Eliza Markidou Ioannidou, Leticia Hernandez Cadena, Priscilla Duboz, Sandjaja, Tiina Laatikainen, Rafel Ramos, Sareh Eghtesad, Judith Simons, Orn Olafsson, E. Shyong Tai, Louise A. Baur, Nihal Thomas, Aung Soe Htet, Bente Sparboe-Nilsen, Paul Elliott, Soon-Woo Park, Angel R. Gonzalez, Ying-Wei Wang, Rob M. van Dam, Ryutaro Ohtsuka, Ludmila Sevcikova, Suhaila Abdul Ghaffar, Lynell V Maniego, Fariborz Mansour-Ghanaei, Maria Dorobantu, Giovanni Viegi, Xiaoguang Yang, Honor Bixby, Prakash C. Gupta, Ofra Kalter-Leibovici, Eugene Sobngwi, Ričardas Radišauskas, Jurate Medzioniene, Roy A Wong-McClure, Kim F. Michaelsen, Antonia Trichopoulou, Tania Tello, Francesco Branca, Johanna Gunnlaugsdottir, Els Clays, Wei-Yen Lim, Suzanne C. Ho, Toomas Veidebaum, Rebecca Goldsmith, Margot González-León, Matthias Nauck, Alibek Mereke, Marta Buoncristiano, Jakob Tarp, Rosalba Rojas-Martínez, Maya Tanrygulyyeva, Reza Malekzadeh, Abdonas Tamosiunas, Dimitrios Poulimeneas, Pedro Ordunez, Isabelle Herter-Aeberli, Khanh Le Nguyen Bao, Anne Juolevi, Vassilis Zafiropulos, Emanuela Gualdi-Russo, Jordi Sunyer, Manu Raj, Chaoqiang Jiang, Sofia Malyutina, Efthymios Kapantais, Maria Lazo-Porras, Maung Maung Than Htike, Michael Hobbs, Ranjit Mohan Anjana, Merike Liivak, Johan G. Eriksson, Margarita Samoutian, Andreia N. Pizarro, Mohammed Rasoul Tarawneh, Jean Woo, Kaspar Staub, Maria Teresa Menzano, Mojtaba Farjam, Adroaldo Cesar Araujo Gaya, Mohammad El-khateeb, Zulfiqar A Bhutta, Mukharram M. Bikbov, Hsien-Ho Lin, Oscar Noboa, Thomas Waldhör, Garry Brian, Simona Costanzo, Frank Tanser, Nor Azwany Yaacob, Michelle Cilia, Ivo Rakovac, Bill Stavreski, Ioannis Pagkalos, Ivan Pećin, Carlo M. Barbagallo, Abla M. Sibai, Yuna He, Matsuda Fumihiko, Bharathi Viswanathan, Ali Reza Safarpour, Wei Cheng Lo, Abdullatif Husseini, Jiang He, Liv Elin Torheim, Nipa Rojroongwasinkul, Aicha Soumare, Astrid Petersmann, Tomasz Grodzicki, Davide Noto, Panayiotis K. Yiallouros, Kelias P. Msyamboza, William R. Tebar, Yingfeng Zheng, Eha Nurk, Bhawesh Koirala, Ana Jelakovic, Suhad Bahijri, Freja B Kampmann, Qi Sheng You, Marika Ferrari, María-Elena González-Villalpando, Aline Wagner, Olfa Saidi, Anwar Batieha, Eduardo Capuano, Coimbatore Subramaniam Shanthirani, Dong Wook Kim, Albina A Fakhretdinova, Tom Wilsgaard, Maria Avdicova, Moesijanti Soekatri, Chiara Donfrancesco, Salim Mohanna, Paola Russo, Uruwan Yamborisut, Rafael dos Santos Henrique, Martin Nankap, Allan Linneberg, Khairil Si-Ramlee, Kirsten Mehlig, Christina Mavrogianni, Raluca Pop, Lèlita Santos, Graziella Bruno, Valentina Peterkova, Iná S. Santos, Georg Lappas, Alberto Palloni, Malay K. Mridha, Andrzej Pajak, Marta García-Solano, Stefaan De Henauw, Daniel Ferrante, Rute Santos, Anders Grøntved, Lucjan Szponar, Mihaela Vladulescu, Chien-An Sun, Jan A. Staessen, Paula Duarte de Oliveira, Norazizah Ibrahim Wong, Maria Nordendahl, Elaine M. Dennison, Jeonghee Lee, Diego Salmerón, Ida Maria Schmidt, Gao Pei, Noushin Mohammadifard, Igor Spiroski, Fernando Rodríguez-Artalejo, Xu Ma, Elin Pettersen Sørgjerd, Valéria Regecová, Cláudia S. Minderico, Johanna A. Otero, Jamila Abubakar Garba, Vesselka Duleva, Rui Ornelas, Ilpo Huhtaniemi, Cesar G. Victora, Lijuan Liu, Rody G. Sy, Mahmood Moosazadeh, Ali Ahmadi, Antonio Pedro Graça, Natalia Nowak-Szczepanska, Miao Li Chee, Michael Sjöström, Charles Agyemang, Shiqi Zhen, Xiu-Hua Guo, Pawel Kurjata, Jardena J. Puder, Mehrdad Azmin, Neil Murphy, Kaosar Afsana, Alireza Sadjadi, Johanna M. Geleijnse, Prashant Mathur, Elysée Claude Bika Lele, Raphael Mendes Ritti-Dias, Yannis Manios, Majid Shirani, Rosemary B. Duda, Liis Nelis, Jurate Klumbiene, Zhengming Chen, Wichai Aekplakorn, Alun Evans, Andrzej Wiecek, Lars Lind, Denise Eldemire-Shearer, Bernardo L. Horta, Macia Enguerran, Seyed Rasoul Zakavi, Daniel Fernández-Bergés, Kumiko Ohara, Ursula Kiechl-Kohlendorfer, Hermann Brenner, Przemyslaw Slusarczyk, Espen Bjertness, Jutta Stieber, Augusto Di Castelnuovo, Joel G. R. Roy, Aryeh D. Stein, Ruth Frikke-Schmidt, Vera Musil, Amaneh Shayanrad, Marcel Goldberg, Ramon O. Jimenez, Mohammad Reza Fattahi, Jolanda Hyska, Amir Houshang Mehrparvar, Elin Kolle, Mohamed Bamoshmoosh, Michelle Holdsworth, Felipe F. Casanueva, Børge G. Nordestgaard, Niels Wedderkopp, Eva Corpeleijn, Elias F. Gudmundsson, Antonio Mistretta, Daniel Lemogoum, Larissa Pruner Marques, Slavica Sović, Olli T. Raitakari, Marco Aurélio Peres, Alexandra Cucu, Gregorio Varela-Moreiras, Janine Clarke, Andrea Gazzinelli, Mieczysław Litwin, Sara Schramm, Xenophon Theodoridis, Harshpal Singh Sachdev, Mohammad Reza Mirjalili, Dimitrios Papandreou, Peter T. Katzmarzyk, Benjamin Acosta-Cazares, Ben Schöttker, Prabhdeep Kaur, Norlaila Mustafa, Shariq Rashid Masoodi, Sadaf G. Sepanlou, Adolfo Rubinstein, Francis Delpeuch, Julianne Williams, Abbas Dehghan, Leanne M. Riley, Heloisa Bettiol, Gabriele Nagel, Ellisiv B. Mathiesen, Ekaterina Stoyanova, Alisha N. Wade, Zhamyila Usupova, Arnaud Chiolero, Oonagh Markey, Jacqueline Ramke, Elena Bogova, Niveen M E Abu-Rmeileh, Nguyen D Nguyen, Tomasz Zdrojewski, Marjo-Riitta Järvelin, Jose Sanchez-Abanto, Rômulo Araújo Fernandes, Lourdes Ribas-Barba, Nalan Uysal, Mohamad Hasnan Ahmad, Krista Fischer, Maria Wany Louzada Strufaldi, Ramiro Guerrero, Farnam Mohebi, Tran Quoc Bao, Flávio Danni Fuchs, Salim Berkinbayev, Enisa Kujundzic, Sari Voutilainen, Farzad Hadaegh, Robert Lundqvist, Saeid Safiri, Iraj Mohebbi, George Luiz Lins Machado-Coelho, Annette Peters, Gonzalo Valdivia, Magdalena Korzycka, Rajiv T Erasmus, Masanori Iwasaki, Charmaine A. Duante, Sheikh Mohammed Shariful Islam, Quang Ngoc La, Ricky Eddie, Petra Rust, Daniela Rodrigues, Dirk De Bacquer, Karen Sparrenberger, Agneta Sjöberg, Thet Thet Mu, Katarzyna Dereń, Cora L. Craig, Jorge Motta, Janina Petkeviciene, Boyd Swinburn, Paibul Suriyawongpaisal, Visnja Djordjic, Ramón Alberto Rascón-Pacheco, Pradeep Joshi, Daan Kromhout, Marius B. Bjertness, Stefano Marventano, Juel Jarani, Alireza Khosravi, Eva Martos, David De Ridder, Lizzy M. Brewster, Nico Dragano, Liam Smeeth, Kenji Shibuya, Emma Ruiz Moreno, Hashem Jaddou, Grzegorz Sobek, Dimitrios Trichopoulos, Marvin Cervantes-Loaiza, Abu Am Hanif, Elaine M. Murtagh, Carlos A. Aguilar-Salinas, Graziella D'Arrigo, Kyungwon Oh, Heiner Boeing, Regina Heidinger-Felso, André Luiz Sena Guimarães, Balkish M. Naidu, Avula Laxmaiah, Ana M. B. Menezes, Marie Eliasen, Francesco Pistelli, Yuan He, Dusko Bjelica, José A. Casajús, Guang Ning, Lutgart Braeckman, Dirk Vanderschueren, Jochanan Stessman, Ivana Radic, Yi Zeng, Hans Concin, Damaskini Valvi, Sari Hantunen, Catherine Kyobutungi, Diego Augusto Santos Silva, Wenhua Zhao, Sok King Ong, Anne W. Taylor, Iraj Nabipour, Justyna Godos, Cyrus Cooper, Mattias Johansson, Samuel C. Dumith, Magdalena Muc, Sabine Schipf, Idowu O Senbanjo, Jim Mann, Rajaa Al-Raddadi, Yih Chung Tham, Kay-Tee Khaw, Joseph Cacciottolo, Ana Henriques, Sahar Saeedi Moghaddam, Reza Mohammadpourhodki, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Camilla T. Damsgaard, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Constance Schultsz, Santiago F. Gomez, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Pierre Traissac, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Eleonora d'Orsi, Irene G. M. van Valkengoed, Anna Fijałkowska, Wen-Harn Pan, Gregor Starc, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Abdullah Alkandari, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Saeed Dastgiri, Lien Braeckevelt, Nasheeta Peer, Radka Taxová Braunerová, Mohamed M. Ali, Steiner Krokstad, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Silvana Donoso, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Dianna J. Magliano, Jitendra Jonnagaddala, Konstantinos Gkiouras, Paola Nardone, Alberto Barceló, Tomi-Pekka Tuomainen, Francesco Gianfagna, Stefania Maggi, Mohammad Hossein Somi, Behrooz Hamzeh, Miquel Porta, Vesna Jureša, Alexander D. Deev, David Faeh, Antonio Bernabe-Ortiz, Sirkka Keinänen-Kiukaanniemi, Ian Hambleton, Stefan Savin, Andre Pascal Kengne, R. Krishna Kumar, Kurt Widhalm, Marco M Ferrario, Parisa Amiri, Anjani Kumar Jha, Thamara Hubler Figueiró, Jana Kratenova, Claudia M. Hormiga, Maria Tsigga, Zivka Dika, Indrapal I. Meshram, Ei Ei K. Nang, Ian Rouse, Rusidah Selamat, Paul Korrovits, Grethe S. Tell, Julie Taylor, Anabela Mota-Pinto, Paolo Vineis, Kotsedi D Monyeki, Khuong Quynh Long, Frank J Rühli, Shelly R. McFarlane, Sara Santos Sanz, Edyta Łuszczki, Maria G. Stathopoulou, Tara Coppinger, Karin De Ridder, Lucie Viet, Anna Bugge, Mehdi Yaseri, Safiah Md Yusof, Sandra C. Fuchs, Muhammad Islam, Irfan Nuhoglu, Rui Providência, Bernard Maire, Leandra Abarca-Gómez, Sinead Brophy, Maria Ruiz-Castell, Daniela Pierannunzio, Cristina Taddei, Gowri Mahasampath, Gustavo Velasquez-Melendez, Hanna Tolonen, Sudhir Kowlessur, Bagher Larijani, Laura Torres-Collado, Susi Kriemler, Ali Akbar Shayesteh, Cynthia Robitaille, Jorge Escobedo-de la Peña, Yufang Bi, Chinh Nguyen Huu, Line Tang Møllehave, Vincent Jr DeGennaro, Noor Ani Ahmad, Anar Dushpanova, Agustinus Soemantri, Susana Sans, Ionela Pascanu, Gwenaëlle Le Coroller, Inger Ariansen, Kodanda R Kanala, Gert B. M. Mensink, Abhijit Sen, Sergej M. Ostojic, Hanan F. Abdul Rahim, Hélène Delisle, Francisco J. Félix-Redondo, Yadlapalli S. Kusuma, Michael Knoflach, Moein Yoosefi, Tanja G. M. Vrijkotte, Wolfgang Ahrens, Osvaldo Santos, Bethlehem D. Solomon, Erik Lykke Mortensen, Nikhil D. Patel, Reynaldo Martorell, Ching-Yu Cheng, Stine Schramm, Hana Shimizu-Furusawa, Jacek Jóźwiak, Radwan Qasrawi, Herman Borghs, Zhanna Kalmatayeva, Heidi Klakk, Akram Pourshams, Naomi S. Levitt, Son Thai Pham, Simona Giampaoli, Dong Zhao, Indah Suci Widyahening, Merete Osler, Paula Margozzini, Silvia Bel-Serrat, Dora Romaguera, Monira Alarouj, Winsome R. Parnell, Marloes Cardol, Giota Touloumi, Janice Luisa Lukrafka, Adela Chirita-Emandi, Maryam Kavousi, Sanja Musić Milanović, Jean-Michel Gaspoz, Jalila El Ati, Sauli Herrala, Liang Xu, Pilar Guallar-Castillón, Bee Koon Poh, Luis Serra-Majem, Jonathan E. Shaw, Belong Cho, Daphne Mirkopoulou, Salvador Villalpando, Yuki Fujita, Tiffany K. Gill, Nish Chaturvedi, Erkin M. Mirrakhimov, Günay Can, Mark Woodward, Esther Lopez-Garcia, Mauro Virgílio Gomes de Barros, Ahmed A. Madar, Shoaib Afzal, Melanie J. Cowan, Gareth Stratton, Eduardo Salazar Martinez, Sameer Narake, Norie Sawada, Deepak Amarapurkar, Deepa Weerasekera, Diana A. 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Boddy, Jie Hao, David Alejandro González-Chica, Romana Roccaldo, Sara Magnacca, Peter Stehle, Victoria Farrugia Sant'Angelo, Gry Skodje, Maryam Keramati, Tabara Yasuharu, Ali Ghanbari, Gyulli M. Kazakbaeva, Takuro Furusawa, Felicia Cañete, Kari Kuulasmaa, Justina Vaitkeviciute, (NCD-RisC), NCD Risk Factor Collaboration, Imperial College London, Harvard T.H. Chan School of Public Health, Middlesex University [London], Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) (UMR MoISA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Wellcome TrustEuropean Commission, Clinical Developmental Psychology, APH - Mental Health, Sociology, The Social Context of Aging (SoCA), Nutrition and Health, Iurilli, Maria LC [0000-0003-0409-1635], Zhou, Bin [0000-0002-1741-8628], Ezzati, Majid [0000-0002-2109-8081], Apollo - University of Cambridge Repository, Epidemiology and Data Science, APH - Aging & Later Life, APH - Societal Participation & Health, Public and occupational health, APH - Health Behaviors & Chronic Diseases, VU University medical center, APH 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Tunis El Manar, University of Oulu, University of Zagreb, University of Ljubljana, Caja Costarricense de Seguro Social, Al-Quds University, National Center of Public Healthcare, Qatar University, Birzeit University, Usmanu Danfodiyo University Teaching Hospital, Instituto Mexicano del Seguro Social, Flinders University, Mahidol University, BRAC James P Grant School of Public Health, University of Copenhagen, Copenhagen University Hospital, Food and Nutrition Research Institute, Urmia University of Medical Sciences, Instituto Nacional de Ciencias Médicas y Nutrición, University of Amsterdam, Shahrekord University of Medical Sciences, Non-Communicable Diseases Research Center, University of Oslo, University of Bremen, Republican Center for Health Promotion, Endocrinology and Genetics, Princess Nourah bint Abdulrahman University, Kuwait Institute for Scientific Research, King Abdulaziz University, Dasman Diabetes Institute, Aldara Hospital and Medical Center, King Abdullah International 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Pure Earth, Institute of Epidemiology Disease Control and Research, University of Turku, Institut Universitari d’Investigacióen AtencióPrima` ria Jordi Gol, Universiti Putra Malaysia, University of Malaya, Sotiria Hospital, University of Valencia, University of the Philippines, Slovak Academy of Sciences, Nutrition Research Foundation, Minas Gerais State Secretariat for Health, CS S. Agustín Ibsalut, Amsterdam Institute for Global Health and Development, National Institute of Health Doutor Ricardo Jorge, Universidade Nove de Julho, Public Health Agency of Canada, Canarian Health Service, Universidad Industrial de Santander, Associazione Calabrese di Epatologia, University of Minho, Fiji National University, Spanish Nutrition Foundation, Public Health Agency of Sweden, Institute of Food Sciences of the National Research Council, Sitaram Bhartia Institute of Science and Research, Kindergarten of Avlonari, National Institute of Health, Catalan Department of Health, Biodonostia Health Research Institute, Instituto de Saúde Ambiental, South Karelia Social and Health Care District, McMaster University, University of Saõ Paulo Clinics Hospital, Hospital Italiano de Buenos Aires, Rigshospitalet, Academic Medical Center of University of Amsterdam, The George Institute for Global Health, Center for Oral Health Services and Research Mid-Norway, Lagos State University College of Medicine, University of Las Palmas de Gran Canaria, Comenius University, National Center for Disease Control and Public Health, Nippon Medical School, Sungkyunkwan University, Finnish Institute of Occupational Health, Public Health Promotion and Development Organization, St Vincent’s Hospital, Nes Municipality, Health Polytechnic Jakarta II Institute, Diponegoro University, University of Bari, Institut Régional de SantéPublique, University of Bordeaux, Oslo Metropolitan University, Ss. Cyril and Methodius University, University of Leuven, Lamprecht und Stamm Sozialforschung und Beratung AG, Bonn University, National Institute of Public Health - National Institute of Hygiene, Kalina Malina Kindergarten, The Jikei University School of Medicine, Fu Jen Catholic University, National Statistical Office, Scientific Research Institute of Maternal and Child Health, University of Lincoln, Central University of Kerala, Amsterdam Public Health Research Institute, Health Service of Murcia, Institut d’Investigacio Sanitaria Illes Balears, University of Bologna, Hellenic Health Foundation, Government Medical College, Sefako Makgatho Health Science University, Addis Ababa University, Universidad Centro-Occidental Lisandro Alvarado, Meharry Medical College, Dokuz Eylul University, University of Tampere Tays Eye Center, Sabiha Gokcen Ilkokulu, Polytechnic Institute of Porto, Icahn School of Medicine at Mount Sinai, Universidad CEU San Pablo, University Miguel Hernandez, Vrije Universiteit Amsterdam, Sunflower Nursery School, North Karelia Center for Public Health, University of the Witwatersrand, Medical University of Vienna, Cork Institute of Technology, Institute for Medical Research, Xinjiang Medical University, Shanghai Educational Development Co. Ltd, Orebro University, University of London, Universitas Indonesia, Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs, Children’s Hospital of Fudan University, University of Cyprus, Niigata University, International Medical University, Iran University of Medical Sciences, Center for Diabetes and Endocrine Care, Peking University First Hospital, Jiangsu Provincial Center for Disease Control and Prevention, Sun Yat-sen University, West Kazakhstan Medical University, Inner Mongolia Medical University, University of Ghana, Maria Lc Iurilli , Bin Zhou , James E Bennett , Rodrigo M Carrillo-Larco , Marisa K Sophiea , Andrea Rodriguez-Martinez , Honor Bixby , Bethlehem D Solomon , Cristina Taddei , Goodarz Danaei , Mariachiara Di Cesare , Gretchen A Stevens , Leanne M Riley , Stefan Savin , Melanie J Cowan , Pascal Bovet , Albertino Damasceno , Adela Chirita-Emandi , Alison J Hayes , Nayu Ikeda , Rod T Jackson , Young-Ho Khang , Avula Laxmaiah , Jing Liu , J Jaime Miranda , Olfa Saidi , Sylvain Sebert , Maroje Sorić , Gregor Starc , Edward W Gregg , Leandra Abarca-Gómez , Ziad A Abdeen , Shynar Abdrakhmanova , Suhaila Abdul Ghaffar , Hanan F Abdul Rahim , Niveen M Abu-Rmeileh , Jamila Abubakar Garba , Benjamin Acosta-Cazares , Robert J Adams , Wichai Aekplakorn , Kaosar Afsana , Shoaib Afzal , Imelda A Agdeppa , Javad Aghazadeh-Attari , Carlos A Aguilar-Salinas , Charles Agyemang , Mohamad Hasnan Ahmad , Noor Ani Ahmad , Ali Ahmadi , Naser Ahmadi , Soheir H Ahmed , Wolfgang Ahrens , Gulmira Aitmurzaeva , Kamel Ajlouni , Hazzaa M Al-Hazzaa , Badreya Al-Lahou , Rajaa Al-Raddadi , Monira Alarouj , Fadia AlBuhairan , Shahla AlDhukair , Mohamed M Ali , Abdullah Alkandari , Ala'a Alkerwi , Kristine Allin , Mar Alvarez-Pedrerol , Eman Aly , Deepak N Amarapurkar , Parisa Amiri , Norbert Amougou , Philippe Amouyel , Lars Bo Andersen , Sigmund A Anderssen , Lars Ängquist , Ranjit Mohan Anjana , Alireza Ansari-Moghaddam , Hajer Aounallah-Skhiri , Joana Araújo , Inger Ariansen , Tahir Aris , Raphael E Arku , Nimmathota Arlappa , Krishna K Aryal , Thor Aspelund , Felix K Assah , Maria Cecília F Assunção , May Soe Aung , Juha Auvinen , Mária Avdicová , Shina Avi , Ana Azevedo , Mohsen Azimi-Nezhad , Fereidoun Azizi , Mehrdad Azmin , Bontha V Babu , Maja Bæksgaard Jørgensen , Azli Baharudin , Suhad Bahijri , Jennifer L Baker , Nagalla Balakrishna , Mohamed Bamoshmoosh , Maciej Banach , Piotr Bandosz , José R Banegas , Joanna Baran , Barbagallo CM, Alberto Barceló , Amina Barkat , Aluisio Jd Barros , Mauro Virgílio Gomes Barros , Abdul Basit , Joao Luiz D Bastos , Iqbal Bata , Anwar M Batieha , Rosangela L Batista , Zhamilya Battakova , Assembekov Batyrbek , Louise A Baur , Robert Beaglehole , Silvia Bel-Serrat , Antonisamy Belavendra , Habiba Ben Romdhane , Judith Benedics , Mikhail Benet , Ingunn Holden Bergh , Salim Berkinbayev , Antonio Bernabe-Ortiz , Gailute Bernotiene , Heloísa Bettiol , Jorge Bezerra , 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, Zhanna Kalmatayeva , Ofra Kalter-Leibovici , Yves Kameli , Freja B Kampmann , Kodanda R Kanala , Srinivasan Kannan , Efthymios Kapantais , Argyro Karakosta , Line L Kårhus , Khem B Karki , Marzieh Katibeh , Joanne Katz , Peter T Katzmarzyk , Jussi Kauhanen , Prabhdeep Kaur , Maryam Kavousi , Gyulli M Kazakbaeva , Ulrich Keil , Lital Keinan Boker , Sirkka Keinänen-Kiukaanniemi , Roya Kelishadi , Cecily Kelleher , Han Cg Kemper , Andre P Kengne , Maryam Keramati , Alina Kerimkulova , Mathilde Kersting , Timothy Key , Yousef Saleh Khader , Davood Khalili , Kay-Tee Khaw , Bahareh Kheiri , Motahareh Kheradmand , Alireza Khosravi , Ilse Msl Khouw , Ursula Kiechl-Kohlendorfer , Stefan Kiechl , Japhet Killewo , Dong Wook Kim , Hyeon Chang Kim , Jeongseon Kim , Jenny M Kindblom , Heidi Klakk , Magdalena Klimek , Jeannette Klimont , Jurate Klumbiene , Michael Knoflach , Bhawesh Koirala , Elin Kolle , Patrick Kolsteren , Jürgen König , Raija Korpelainen , Paul Korrovits , Magdalena Korzycka , 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Teresa A Olinto , Isabel O Oliveira , Mohd Azahadi Omar , Altan Onat , Sok King Ong , Lariane M Ono , Pedro Ordunez , Rui Ornelas , Ana P Ortiz , Pedro J Ortiz , Merete Osler , Clive Osmond , Sergej M Ostojic , Afshin Ostovar , Johanna A Otero , Kim Overvad , Ellis Owusu-Dabo , Fred Michel Paccaud , Cristina Padez , Ioannis Pagkalos , Elena Pahomova , Karina Mary de Paiva , Andrzej Pajak , Domenico Palli , Alberto Palloni , Luigi Palmieri , Wen-Harn Pan , Songhomitra Panda-Jonas , Arvind Pandey , Francesco Panza , Dimitrios Papandreou , Soon-Woo Park , Suyeon Park , Winsome R Parnell , Mahboubeh Parsaeian , Ionela M Pascanu , Patrick Pasquet , Nikhil D Patel , Ivan Pecin , Mangesh S Pednekar , Nasheeta Peer , Gao Pei , Sergio Viana Peixoto , Markku Peltonen , Alexandre C Pereira , Marco A Peres , Napoleón Pérez-Farinós , Cynthia M Pérez , Valentina Peterkova , Annette Peters , Astrid Petersmann , Janina Petkeviciene , Ausra Petrauskiene , Emanuela Pettenuzzo , Niloofar Peykari , Son 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, Cassiano Ricardo Rech , Josep Redon , Paul Ferdinand M Reganit , Valéria Regecová , Luis Revilla , Abbas Rezaianzadeh , Lourdes Ribas-Barba , Robespierre Ribeiro , Elio Riboli , Adrian Richter , Fernando Rigo , Natascia Rinaldo , Tobias F Rinke de Wit , Ana Rito , Raphael M Ritti-Dias , Juan A Rivera , Cynthia Robitaille , Romana Roccaldo , Daniela Rodrigues , Fernando Rodríguez-Artalejo , María Del Cristo Rodriguez-Perez , Laura A Rodríguez-Villamizar , Ulla Roggenbuck , Rosalba Rojas-Martinez , Nipa Rojroongwasinkul , Dora Romaguera , Elisabetta L Romeo , Rafaela V Rosario , Annika Rosengren , Ian Rouse , Joel Gr Roy , Adolfo Rubinstein , Frank J Rühli , Jean-Bernard Ruidavets , Blanca Sandra Ruiz-Betancourt , Maria Ruiz-Castell , Emma Ruiz Moreno , Iuliia A Rusakova , Kenisha Russell Jonsson , Paola Russo , Petra Rust , Marcin Rutkowski , Charumathi Sabanayagam , Elena Sacchini , Harshpal S Sachdev , Alireza Sadjadi , Ali Reza Safarpour , Saeid Safiri , Nader Saki , Benoit Salanave , Eduardo Salazar Martinez , Diego Salmerón , Veikko Salomaa , Jukka T Salonen , Massimo Salvetti , Margarita Samoutian , Jose Sánchez-Abanto , Sandjaja , Susana Sans , Loreto Santa Marina , Diana A Santos , Ina S Santos , Lèlita C Santos , Maria Paula Santos , Osvaldo Santos , Rute Santos , Sara Santos Sanz , Jouko L Saramies , Luis B Sardinha , Nizal Sarrafzadegan , Thirunavukkarasu Sathish , Kai-Uwe Saum , Savvas Savva , Mathilde Savy , Norie Sawada , Mariana Sbaraini , Marcia Scazufca , Beatriz D Schaan , Angelika Schaffrath Rosario , Herman Schargrodsky , Anja Schienkiewitz , Sabine Schipf , Carsten O Schmidt , Ida Maria Schmidt , Peter Schnohr , Ben Schöttker , Sara Schramm , Stine Schramm , Helmut Schröder , Constance Schultsz , Aletta E Schutte , Aye Aye Sein , Rusidah Selamat , Vedrana Sember , Abhijit Sen , Idowu O Senbanjo , Sadaf G Sepanlou , Victor Sequera , Luis Serra-Majem , Jennifer Servais , Ludmila Ševcíková , Svetlana A Shalnova , Teresa Shamah-Levy , Morteza Shamshirgaran , Coimbatore Subramaniam Shanthirani , Maryam Sharafkhah , Sanjib K Sharma , Jonathan E Shaw , Amaneh Shayanrad , Ali Akbar Shayesteh , Lela Shengelia , Zumin Shi , Kenji Shibuya , Hana Shimizu-Furusawa , Dong Wook Shin , Majid Shirani , Rahman Shiri , Namuna Shrestha , Khairil Si-Ramlee , Alfonso Siani , Rosalynn Siantar , Abla M Sibai , Antonio M Silva , Diego Augusto Santos Silva , Mary Simon , Judith Simons , Leon A Simons , Agneta Sjöberg , Michael Sjöström , Gry Skodje , Jolanta Slowikowska-Hilczer , Przemyslaw Slusarczyk , Liam Smeeth , Hung-Kwan So , Fernanda Cunha Soares , Grzegorz Sobek , Eugène Sobngwi , Morten Sodemann , Stefan Söderberg , Moesijanti Ye Soekatri , Agustinus Soemantri , Reecha Sofat , Vincenzo Solfrizzi , Mohammad Hossein Somi , Emily Sonestedt , Yi Song , Thorkild Ia Sørensen , Elin P Sørgjerd , Charles Sossa Jérome , Victoria E Soto-Rojas , Aïcha Soumaré , Slavica Sovic , Bente Sparboe-Nilsen , Karen Sparrenberger , Angela Spinelli , Igor Spiroski , Jan A Staessen , Hanspeter Stamm , Maria G Stathopoulou , Kaspar Staub , Bill Stavreski , Jostein Steene-Johannessen , Peter Stehle , Aryeh D Stein , George S Stergiou , Jochanan Stessman , Ranko Stevanovic , Jutta Stieber , Doris Stöckl , Tanja Stocks , Jakub Stokwiszewski , Ekaterina Stoyanova , Gareth Stratton , Karien Stronks , Maria Wany Strufaldi , Lela Sturua , Ramón Suárez-Medina , Machi Suka , Chien-An Sun , Johan Sundström , Yn-Tz Sung , Jordi Sunyer , Paibul Suriyawongpaisal , Boyd A Swinburn , Rody G Sy , Holly E Syddall , René Charles Sylva , Moyses Szklo , Lucjan Szponar , E Shyong Tai , Mari-Liis Tammesoo , Abdonas Tamosiunas , Eng Joo Tan , Xun Tang , Maya Tanrygulyyeva , Frank Tanser , Yong Tao , Mohammed Rasoul Tarawneh , Jakob Tarp , Carolina B Tarqui-Mamani , Radka Taxová Braunerová , Anne Taylor , Julie Taylor , Félicité Tchibindat , William R Tebar , Grethe S Tell , Tania Tello , Yih Chung Tham , K R Thankappan , Holger Theobald , Xenophon 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Kazakbaeva, Gyulli M, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Kengne, Andre P, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse MSL, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M, Klakk, Heidi, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kovacs, Viktoria A, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kumar, R Krishna, Kunešová, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S, Kuulasmaa, Kari, Kyobutungi, Catherine, La, Quang Ngoc, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Lambrinou, Christina-Paulina, Landais, Edwige, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Lauria, Laura, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le Port, Agnè, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lee, Paul H, Lehmann, Nil, Lehtimäki, Terho, Lemogoum, Daniel, Levitt, Naomi S, Li, Yanping, Liivak, Merike, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lin, Xu, Lin, Yi-Ting, Lind, Lar, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Lijuan, Lo, Wei-Cheng, Loit, Helle-Mai, Long, Khuong Quynh, Lopes, Lui, Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, 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Paola, Nauck, Matthia, Neal, William A, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nelis, Lii, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nuhoglu, Irfan, Nurk, Eha, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Clae, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Elli, Paccaud, Fred Michel, Padez, 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Cynthia, Roccaldo, Romana, Rodrigues, Daniela, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A, Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Roy, Joel GR, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A, Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safiri, Saeid, Saki, Nader, Salanave, Benoit, Martinez, Eduardo Salazar, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sandjaja, null, Sans, Susana, Marina, Loreto Santa, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Sanz, Sara Santo, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savva, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schipf, Sabine, Schmidt, Carsten O, Schmidt, Ida Maria, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sein, Aye Aye, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Victor, Serra-Majem, Lui, Servais, Jennifer, Ševcíková, Ludmila, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Antonio M, Silva, Diego Augusto Santo, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skodje, Gry, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinu, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Jérome, Charles Sossa, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stathopoulou, Maria G, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stevanovic, Ranko, Stieber, Jutta, Stöckl, Dori, Stocks, Tanja, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Syddall, Holly E, Sylva, René Charle, Szklo, Moyse, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thomas, Nihal, Thuesen, Betina H, Tichá, Lubica, Timmermans, Erik J, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J, Torrent, Matie, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzotzas, Themistokli, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Pérez, Patricia, Vasan, Senthil K, Vega, Toma, Veidebaum, Tooma, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thoma, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Weber, Adelheid, Wedderkopp, Niel, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassili, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antoni, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, Filippi, Sarah, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: Population -- Health aspects, Leanness, Baixo peso/Underweight, none, Double burden, alipainoisuus, tulotaso, global health, systematic analysis, Sedentary behaviors, RC1200, Prospective associations, 0302 clinical medicine, underweight, nälänhätä, Biology (General), skin and connective tissue diseases, Children, ComputingMilieux_MISCELLANEOUS, Body mass index, Human Nutrition & Health, education.field_of_study, Humane Voeding & Gezondheid, ylipaino, General Medicine, kansainvälinen vertailu, 3. Good health, World health, Medicine, A100 Pre-clinical Medicine, Population distribution, medicine.medical_specialty, QH301-705.5, Science, Socio-culturale, Nursing, Social sciences, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Thinness, SDG 3 - Good Health and Well-being, BMI, epidemiology, obesity, None, Humans, Obesidade/Obesity, SDG 2 - Zero Hunger, education, VLAG, US adults, Omvårdnad, body mass index, malnutrition, obesity, underweight, nutritional and metabolic diseases, medicine.disease, terveellisyys, Obesity, Faculdade de Ciências Sociais, Body Mass Index, Prevalence, Risk Factors, General Biochemistry, WIAS, lihavuus, RA, Demography, N.A, double burden, Settore MED/09 - Medicina Interna, alueelliset erot, Nutrition and Disease, Animal Nutrition, [SDV]Life Sciences [q-bio], Medizin, 030204 cardiovascular system & hematology, 0601 Biochemistry and Cell Biology, Change distribution of body mass index, RA0421, Voeding en Ziekte, Epidemiology, Medicine and Health Sciences, Global health, Índice de massa corporal/Body Mass Index, 030212 general & internal medicine, Underweight, painoindeksi, 2. Zero hunger, General Neuroscience, aliravitsemus, elintarvikkeet, health, Public Health, Global Health, Social Medicine and Epidemiology, Diervoeding, 3142 Public health care science, environmental and occupational health, purl.org/pe-repo/ocde/ford#3.01.03 [https], Chinese adults, pooled analysis, medicine.symptom, Diet quality, B120 Physiology, Research Article, trends, purl.org/pe-repo/ocde/ford#1.06.03 [https], prevalence, Population, Mothers, Genetics and Molecular Biology, 3121 Internal medicine, medicine, Life Science, ddc:610, 3125 Otorhinolaryngology, ophthalmology, kehonkoostumus, Nutrition, Australian adults, General Immunology and Microbiology, purl.org/pe-repo/ocde/ford#3.01.04 [https], Ciências sociais, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, Epidemiology and Global Health, sense organs, Estilos de Vida e Impacto na Saúde
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions., Wellcome Trust, Medical Research Council, peer-reviewed
Published: 2021

39. CirPred, the first structure modeling and linker design system for circularly permuted proteins

Author: Yen-Cheng Lin, Chih-Chieh Chen, Teng-Ruei Chen, Wei-Cheng Lo, and Yu-Wei Huang
Subjects: Circular permutation, QH301-705.5, Computer science, Computer applications to medicine. Medical informatics, R858-859.7, Structure (category theory), Biochemistry, Domain (software engineering), Structural Biology, Biology (General), Molecular Biology, Applied Mathematics, Methodology, Proteins, Design systems, Protein engineering, Protein structure prediction, Circular permutation in proteins, Computer Science Applications, Protein structure modeling, Linker, Algorithm, Algorithms
Abstract: Background This work aims to help develop new protein engineering techniques based on a structural rearrangement phenomenon called circular permutation (CP), equivalent to connecting the native termini of a protein followed by creating new termini at another site. Although CP has been applied in many fields, its implementation is still costly because of inevitable trials and errors. Results Here we present CirPred, a structure modeling and termini linker design method for circularly permuted proteins. Compared with state-of-the-art protein structure modeling methods, CirPred is the only one fully capable of both circularly-permuted modeling and traditional co-linear modeling. CirPred performs well when the permutant shares low sequence identity with the native protein and even when the permutant adopts a different conformation from the native protein because of three-dimensional (3D) domain swapping. Linker redesign experiments demonstrated that the linker design algorithm of CirPred achieved subangstrom accuracy. Conclusions The CirPred system is capable of (1) predicting the structure of circular permutants, (2) designing termini linkers, (3) performing traditional co-linear protein structure modeling, and (4) identifying the CP-induced occurrence of 3D domain swapping. This method is supposed helpful for broadening the application of CP, and its web server is available at http://10.life.nctu.edu.tw/CirPred/ and http://lo.life.nctu.edu.tw/CirPred/.
Published: 2021

40. Updating the Insecticide Resistance Status of Aedes aegypti and Aedes albopictus in Asia: A Systematic Review and Meta-Analysis

Author: Ting-Wu Chuang, Ramdan Zulfa, Martini Martini, Po-Ching Cheng, and Wei-Cheng Lo
Subjects: Infectious Diseases, General Immunology and Microbiology, Public Health, Environmental and Occupational Health
Abstract: Background: Aedes aegypti and Aedes albopictus are two important vectors of several important arboviruses, including the dengue, chikungunya, and Zika viruses. Insecticide application is an important approach to reduce vector abundance during Aedes spp.-borne outbreaks in the absence of effective vaccines and treatments. However, insecticide overuse can result in the development of resistance, and careful monitoring of resistance markers is required. Methods: This meta-analysis and systematic review explored the spatial and temporal patterns of insecticide resistance in Asia from 2000 to 2021. PubMed, Scopus, EbscoHost, and Embase were used to enhance the search capability. The random-effects model was applied for the 94 studies that met our inclusion criteria for qualitative synthesis and meta-analysis. Results: Four major insecticides were studied (malathion, dichlorodiphenyltrichloroethane, permethrin, and deltamethrin). Dichlorodiphenyltrichloroethane resistance rates were high in both Ae. aegypti and Ae. albopictus (68% and 64%, respectively). Conversely, malathion resistance was less prevalent in Ae. aegypti (3%), and deltamethrin resistance was less common in Ae. albopictus (2%). Ae. aegypti displayed consistently high resistance rates (35%) throughout the study period, whereas the rate of insecticide resistance in Ae. albopictus increased from 5% to 12%. The rates of the major kdr mutations F1534C, V1016G, and S989P were 29%, 26%, and 22%, respectively. Conclusions: Insecticide resistance in both Ae. aegypti and Ae. albopictus is widespread in Asia, although the rates vary by country. Continuous monitoring of the resistance markers and modification of the control strategies will be important for preventing unexpected outbreaks. This systematic review and meta-analysis provided up-to-date information on insecticide resistance in dengue-endemic countries in Asia.
Published: 2022

41. A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction

Author: Wei-Cheng Lo, Teng Ruei Chen, Yen-Cheng Lin, Yu-Wei Huang, and Sheng Hung Juan
Subjects: Protein Structure Comparison, Computer science, Protein Structure Prediction, computer.software_genre, Protein secondary structure prediction, Biochemistry, Protein Structure, Secondary, Machine Learning, Matrix (mathematics), Database and Informatics Methods, Mathematical and Statistical Techniques, Macromolecular Structure Analysis, Protein secondary structure, 0303 health sciences, Multidisciplinary, Applied Mathematics, Simulation and Modeling, 030302 biochemistry & molecular biology, Statistics, Physical Sciences, Medicine, Structural Proteins, Sequence Analysis, Algorithms, Research Article, Web server, Protein Structure, Computer and Information Sciences, Bioinformatics, Science, Machine learning, Research and Analysis Methods, Set (abstract data type), 03 medical and health sciences, Machine Learning Algorithms, Position (vector), Artificial Intelligence, Position-Specific Scoring Matrices, Statistical Methods, Molecular Biology, 030304 developmental biology, business.industry, Biology and Life Sciences, Proteins, Computational Biology, Artificial intelligence, business, computer, Sequence Alignment, Mathematics, Forecasting
Abstract: Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years. With a vision of moving forward all related fields, we aimed to make a fundamental advance in SSP. There have been many admirable efforts made to improve the machine learning algorithm for SSP. This work thus took a step back by manipulating the input features. A secondary structure element-based position-specific scoring matrix (SSE-PSSM) is proposed, based on which a new set of machine learning features can be established. The feasibility of this new PSSM was evaluated by rigid independent tests with training and testing datasets sharing http://10.life.nctu.edu.tw/SSE-PSSM.
Published: 2021

42. Use of mammalian target of rapamycin inhibitors in patient with autosomal dominant polycystic kidney disease: an updated meta-analysis

Author: Chia-Ter Chao, Wei Cheng Lo, Tsu Chen Lin, Chun Hung Lin, Mai Szu Wu, and Mei Yi Wu
Subjects: Nephrology, medicine.medical_specialty, Urology, 030232 urology & nephrology, Autosomal dominant polycystic kidney disease, Renal function, 030204 cardiovascular system & hematology, End stage renal disease, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, Adverse effect, Everolimus, business.industry, TOR Serine-Threonine Kinases, Odds ratio, Polycystic Kidney, Autosomal Dominant, medicine.disease, Treatment Outcome, Sirolimus, business, medicine.drug
Abstract: Mammalian target of rapamycin (mTOR) inhibitors were previously considered a potential therapy for autosomal dominant polycystic kidney disease (ADPKD), but prior studies remained controversial about their efficacy. We performed an updated meta-analysis regarding the therapeutic and adverse effects of mTOR inhibitors in patients with ADPKD. We systematically searched Cochrane Library, PubMed, EMBASE, and Medline for randomized controlled trials (RCTs) comparing mTOR inhibitors to placebo in ADPKD patients up to August 2019. We calculated weighted mean differences (WMDs) for total kidney volume (TKV), estimated glomerular filtration rates (eGFRs), and weighted odds ratios (ORs) for treatment-related complications between the treatment and the placebo groups, using the random effects model. We retrieved a total of 9 RCTs enrolling 784 ADPKD patients receiving rapamycin, sirolimus, or everolimus between 2009 and 2016. The WMDs of TKV and eGFR from baseline to the last measurement were − 31.54 mL (95% confidence interval [CI] − 76.79 to 13.71 mL) and 2.81 mL/min/1.73 m2 (95% CI − 1.85 to 7.46 mL/min/1.73 m2), respectively. Patients receiving mTOR inhibitors had a significantly increased risk of any adverse effects (OR 5.92, 95% CI 3.53–9.94), with the most common ones being aphthous stomatitis (OR 15.45, 95% CI 9.68–24.66) and peripheral edema (OR 3.49, 95% CI 1.31–9.27) compared to placebo users. mTOR inhibitors did not significantly influence renal progression in patients with ADPKD, but were associated with a higher risk of complications. Whether mTOR inhibitors can be an add-on option or second-line agents remain undetermined.
Published: 2019

43. Integrating multiple downscaling simulations with continuous In-situ monitoring to assess riverbed scouring

Author: Wei-Cheng Lo, Han Su, and Dong-Sin Shih
Subjects: Water Science and Technology
Published: 2022

44. Fish’ habitat area and habitat transition in a river under ordinary and flood flow

Author: Hsuan-Ju Hung, Wei-Cheng Lo, Ching-Nuo Chen, and Chih-Heng Tsai
Subjects: Environmental Engineering, Management, Monitoring, Policy and Law, Nature and Landscape Conservation
Published: 2022

45. Do Orthopedic Surgeons or Neurosurgeons Detect More Hip Disorders in Patients with Hip-Spine Syndrome? A Nationwide Database Study

Author: Yao-Chin Wang, Woon-Man Kung, Wei-Cheng Lo, Yao-Hsu Yang, Adam M. Wegner, Meng-Ling Lu, and Tsung-Cheng Yin
Subjects: musculoskeletal diseases, medicine.medical_specialty, total hip arthroplasty, neurosurgeon, Radiography, Article, Hip replacement (animal), lcsh:RC321-571, 03 medical and health sciences, 0302 clinical medicine, medicine, In patient, 030212 general & internal medicine, hip-spine syndrome, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Hip surgery, 030222 orthopedics, business.industry, General Neuroscience, Nationwide database, orthopedic surgeon, musculoskeletal system, Surgery, Taiwan National Health Insurance Research Database, Orthopedic surgery, Lumbar spine, Neurosurgery, business
Abstract: Background: Disorders of the hip and lumbar spine can create similar patterns of pain and dysfunction. It is unknown whether all surgeons, regardless of orthopedic or neurosurgery training, investigate and diagnose concurrent hip and spine pathology at the same rate. Methods: Data were retrieved from Taiwan’s National Health Insurance Research Database (NHIRD). Enrolled patients were stratified into hip and spine surgery at the same admission (Both), hip surgery before spine surgery (HS), or spine surgery before hip surgery (SH). The SH group was further subdivided based on whether spine surgery was performed by an orthopedic surgeon (OS) or neurosurgeon (NS), and differences in preoperative radiographic examinations and diagnoses were collected and analyzed. Results: In total, 1824 patients received lumbar spine surgery within 1 year before or after hip replacement surgery. Of these, 103 patients had spine and hip surgery in the same admission (Both), 1290 patients had spine surgery before hip surgery (SH), and 431 patients had hip surgery before spine surgery (HS). In the SH group, patients were categorized into spine surgery by orthopedic surgeons (OS) (n = 679) or neurosurgeons (NS) (n = 522). In the SH group, orthopedic surgeons investigated hip pathology with X-rays more often (52.6% vs. 38.1%, p &lt, 0.001) and diagnosed more cases of hip disease (43.6% vs. 28.9%, p &lt, 0.001) than neurosurgeons. Conclusions: Of patients in Taiwan’s NHIRD who had concurrent surgical degenerative hip and lumbar spine disorders who had spine surgery before hip surgery, orthopedic surgeons obtained hip images and made hip-related diagnoses more frequently than did neurosurgeons.
Published: 2021
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46. Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Zahra Mohammadi, Abdul Basit, Helena I. S. Nogueira, Soile E. Puhakka, Hongsheng Bi, Ari Voutilainen, Davood Khalili, Bin Zhou, Dermot O'Reilly, Natascia Rinaldo, Paulo A. Lotufo, Bahareh Kheiri, Thein Thein Htay, Simona Giampaoli, Goodarz Danaei, M. Fernanda Lima-Costa, Simona Bo, Peter Schnohr, Jerzy Chudek, Francesco Panza, Ling Yang, Katia Vergetti Bloch, Vincenzo Capuano, Holly E. Syddall, Dong Zhao, Indah Suci Widyahening, Maria Lorenza Muiesan, Leng Huat Foo, Mohsen Azimi-Nezhad, Merete Osler, Laura Torres-Collado, Manu Raj, Adroaldo Cesar Araujo Gaya, Susi Kriemler, Ali Akbar Shayesteh, Aneta Grajda, Anette Varbo, Kazem Mohammad, Leila Beltrami Moreira, Shu Ti Chiou, Iuliia A Rusakova, Jyh Eiin Wong, Torben Jørgensen, Lela Sturua, Lubica Ticha, Hamid Hakimi, Hazzaa M. Al-Hazzaa, Yanina Zócalo, Freda Pitakaka, Savvas C. Savva, Rajeev Gupta, Jennifer Servais, Marie Kunešová, Johanna M. Geleijnse, Elysée Claude Bika Lele, Yannis Manios, Jorge Escobedo-de la Peña, Yufang Bi, Chinh Nguyen Huu, Sibel Gogen, Viviane Cunha Cardoso, Kristine H. Allin, Ana Azevedo, Line Tang Møllehave, Vincent Jr DeGennaro, Novie O. Younger-Coleman, Gretchen A Stevens, Dickman Gareta, Holger Theobald, Anja Schienkiewitz, Bekbolat Zholdin, Janice Luisa Lukrafka, Adela Chirita-Emandi, Ulla Roggenbuck, Kenisha Russell Jonsson, Robespierre Ribeiro, Gabriele Eiben, Eero Kajantie, Sounnia Mediene Benchekor, Fariborz Mansour-Ghanaei, Mary Simon, Prakash C. Gupta, Mohammad Esmaeel Motlagh, Emanuela Gualdi-Russo, María Elena Díaz-Sánchez, Pilar Guallar-Castillón, Bee Koon Poh, Cristina Padez, Azaliia M Tuliakova, Sarah P. Garnett, William R. Tebar, Yingfeng Zheng, Suhad Bahijri, Christina Mavrogianni, Mihaela Vladulescu, Jan A. Staessen, Paula Duarte de Oliveira, Rui Ornelas, Michael Sjöström, Charles Agyemang, Slawomir Koziel, Shohreh Naderimagham, Jari Jokelainen, Stephen T. McGarvey, Patrick Pasquet, Farnam Mohebi, Nader Saki, Aida Pilav, Azim Nejatizadeh, Marianna Noale, Habiba Ben Romdhane, Luís B. Sardinha, Laura Lauria, Jun Hata, Kodanda R Kanala, Gert B. M. Mensink, Nils Lehmann, Elio Riboli, Carolina Tarqui-Mamani, Rodrigo M. Carrillo-Larco, Rosangela Fernandes Lucena Batista, Victoria E Soto-Rojas, Luis Serra-Majem, Martina Müller-Nurasyid, Felipe Vogt Cureau, Lekhraj Rampal, Zhamilya Battakova, Ludmila Sevcikova, Suhaila Abdul Ghaffar, Fikru Tullu, Aung Soe Htet, Angel R. Gonzalez, Annette J. Dobson, Kavumpurathu Raman Thankappan, Hélène Delisle, Francisco J. Félix-Redondo, Ramón Suárez-Medina, Annika Rosengren, Sania Nishtar, Tanja G. M. Vrijkotte, Wolfgang Ahrens, Osvaldo Santos, Maria Cecília Formoso Assunção, Kazi M. Jamil, Stefano Marventano, Wenbin Wei, Norsyamlina Che Abdul Rahim, Shukri F. Mohamed, Bente Sparboe-Nilsen, Soon-Woo Park, Ana Isabel Rito, David Goltzman, W. M. Monique Verschuren, Catterina Ferreccio, Marta Buoncristiano, Ramón Alberto Rascón-Pacheco, Pradeep Joshi, Edward D Janus, Laetitia Huiart, Ala'a Alkerwi, Lorenza Pilotto, Mohannad Al Nsour, Daan Kromhout, Marius B. Bjertness, Oanh T. H. Trinh, Nico Dragano, Angélica Ochoa-Avilés, Ingunn Holden Bergh, Yuki Fujita, Juraci Almeida Cesar, Hajer Aounallah-Skhiri, Maria Dorobantu, Jordi Sunyer, Wolfgang Kratzer, Susanne R. de Rooij, Drude Molbo, Rebecca Goldsmith, Jean Woo, Mohammad El-khateeb, Tiffany K. Gill, Nish Chaturvedi, Benjamin Acosta-Cazares, Erik Lykke Mortensen, Nikhil D. Patel, Francesco Pistelli, Yuan He, Ivana Radic, Yi Zeng, Ilse Khouw, Reynaldo Martorell, Ching-Yu Cheng, Stine Schramm, Hana Shimizu-Furusawa, Jacek Jóźwiak, Radwan Qasrawi, Isti Ilmiati Fujiati, Charles Sossa Jérome, Ben Schöttker, Mikhail Benet, Anastasia Markaki, Christopher T. Cowell, Bharathi Viswanathan, Renata Kuciene, Jose Eugenio Lozano, Pedro J Ortiz, Delphine De Smedt, Elaine M. Murtagh, Kamel Ajlouni, Carlos A. Aguilar-Salinas, Graziella D'Arrigo, Xiangjun Wang, Lars Lind, Macia Enguerran, Marjeta Mišigoj-Duraković, Bo Werner, Jean-Michel Gaspoz, Kyungwon Oh, Seyed Rasoul Zakavi, Daniel Fernández-Bergés, Felix Kaducu, Ramon O. Jimenez, Jonathan E. Shaw, Nipa Rojroongwasinkul, Aicha Soumare, Astrid Petersmann, Tomasz Grodzicki, Parvina Mukhtorova, Eha Nurk, Bhawesh Koirala, Óscar Lopes, Ana Jelakovic, Karolina Milkowska, Magda Gasull, Regina Heidinger-Felso, Marcela González-Gross, Belong Cho, Daphne Mirkopoulou, Salvador Villalpando, Tran Quoc Bao, José Boggia, Daniela Galeone, Josep Redon, Matthias Bopp, Abbas Rezaianzadeh, Dusko Bjelica, Amir Houshang Mehrparvar, Felipe F. Casanueva, Khairil Si-Ramlee, Soheir H Ahmed, Maria Nordendahl, Luciana Zaccagni, Mahboubeh Parsaeian, Rod Jackson, Jorge Motta, Keiu Nelis, Fernando Rigo, Andrzej Pajak, Christa Meisinger, Clara Homs, Namuna Shrestha, Mar Alvarez-Pedrerol, Xun Tang, Johann Willeit, Motahareh Kheradmand, Jean Dallongeville, Jean-Bernard Ruidavets, Anne Tjønneland, Diana A. Santos, Lynne M. Boddy, Jie Hao, David Alejandro González-Chica, Elin Kolle, Jingli Gao, Małgorzata Mossakowska, Isabel O. Oliveira, Giuseppe Grosso, Seongjun Ha, Olfa Saidi, Albina A Fakhretdinova, Oye Gureje, Raluca Pop, Iulia Jurca Simina, Nuno Lunet, Maria Forsner, Peter Bjerregaard, Rachael McLean, Antonio Cabrera de León, Guy De Backer, José A. Casajús, Guang Ning, Emmanuella Magriplis, Laura Censi, Graziella Bruno, Valentina Peterkova, Angelique Chan, Yvonne T. van der Schouw, Charalambos Hadjigeorgiou, Anjani Kumar Jha, Toomas Veidebaum, Thamara Hubler Figueiró, Jana Kratenova, Michelle Cilia, Ivo Rakovac, Bill Stavreski, Ya Xing Wang, Oscar Noboa, Romana Roccaldo, Sara Magnacca, Johan Sundström, Peter Stehle, Tania Lopez, Francis Delpeuch, Julianne Williams, Ellisiv B. Mathiesen, Leanne M. Riley, Claudia M. Hormiga, Joanne Katz, Ekaterina Stoyanova, Heloisa Bettiol, Gabriele Nagel, Alireza Khosravi, Lars Bo Andersen, João Breda, Jørgen Meisfjord, Ahmad Faudzi Yusoff, Marjeta Majer, Robert Beaglehole, Caleb Ochimana, Shynar Abdrakhmanova, George S. Stergiou, Blanca Sandra Ruiz-Betancourt, Leon A. Simons, Eng Joo Tan, Victoria Farrugia Sant'Angelo, Gry Skodje, Maryam Keramati, Liv Elin Torheim, Seppo Koskinen, Assembekov Batyrbek, Jaakko Tuomilehto, Marjo-Riitta Järvelin, Ming-Hui Zhao, Krista Fischer, Tobias F. Rinke de Wit, Agnès Le Port, Reza Homayounfar, James E. Bennett, Yuna He, Matsuda Fumihiko, Qi Sheng You, Angela Spinelli, Scott B. McLean, Shirin Djalalinia, Thet Thet Mu, Yves Martin-Prével, Rafael N. Pichardo, Gailute Bernotiene, Pietro Amedeo Modesti, Frederick C. W. Wu, Chandini Nekkantti, Daniela Rodrigues, Tandi E. Matsha, Mihai Gafencu, Xingwang Ye, Salar Rahimikazerooni, Trevor S. Ferguson, Christophe Tzourio, Marie Zins, Fernando Rodríguez-Artalejo, Xu Ma, Elin Pettersen Sørgjerd, Lourdes Ribas-Barba, Nalan Uysal, Salim Berkinbayev, Enisa Kujundzic, Sari Voutilainen, Iraj Mohebbi, Heiner Boeing, Jorge Mota, Jana Námešná, Maria Tsigga, Zivka Dika, Gulmira Aitmurzaeva, Xu Lin, Valéria Regecová, Herman Schargrodsky, Stevo Popovic, Amelia C. Crampin, Hannu Uusitalo, André Luiz Sena Guimarães, Ali Esmaeili, Catherine Kyobutungi, Virginija Dulskiene, Diego Augusto Santos Silva, David De Ridder, Lizzy M. Brewster, Hashem Jaddou, Eunice Ugel, José Camolas, Azli Baharudin, Idris Guessous, Sok King Ong, Tabara Yasuharu, Ali Ghanbari, Anne W. Taylor, Iraj Nabipour, Justyna Godos, Cyrus Cooper, Bruna Gonçalves Cordeiro da Silva, Gonzalo Valdivia, Gyulli M. Kazakbaeva, Takuro Furusawa, Pawel Kurjata, Diego Vanuzzo, Marvin Cervantes-Loaiza, Karen Morgan, Mostafa Qorbani, Rute Santos, Marika Ferrari, Diego Salmerón, Ida Maria Schmidt, Gao Pei, Abu Am Hanif, Balkish M. Naidu, Maria Wany Louzada Strufaldi, Moesijanti Soekatri, Marcia Scazufca, Katharina Maruszczak, Jacqueline Ramke, Elvis Oa Wambiya, Kairit Mikkel, Napoleón Pérez-Farinós, Natalia Nowak-Szczepanska, Miao Li Chee, Jose Sanchez-Abanto, Rajaa Al-Raddadi, Michel Joffres, Vayia Rarra, Ningli Wang, Charmaine A. Duante, Sheikh Mohammed Shariful Islam, Manoli Garcia-de-la-Hera, Weili Yan, Dong Wook Shin, Rômulo Araújo Fernandes, Ilona Nenko, Sanjib Kumar Sharma, Alfonso Siani, Indrapal I. Meshram, Imelda A. Agdeppa, Ei Ei K. Nang, Ian Rouse, Avula Laxmaiah, Ana M. B. Menezes, Yih Chung Tham, Ebrahim Eftekhar, María José Tormo, Felicia Cañete, Marie Eliasen, Lutgart Braeckman, Dirk Vanderschueren, Genc Burazeri, Kari Kuulasmaa, Jesús Vioque, Marisa K. Sophiea, Agneta Sjöberg, Katarzyna Dereń, Albertino Damasceno, Jochanan Stessman, Stig E. Bojesen, Aline Meirhaeghe, Else Karin Grøholt, Flávio Danni Fuchs, Robert Lundqvist, Frédéric Gottrand, Jeongseon Kim, Helmut Schröder, Joanna Baran, Karina Mary de Paiva, Yousef Khader, Eric Monterrubio-Flores, Aneta Weres, Hans Concin, Damaskini Valvi, Sari Hantunen, Machi Suka, Elena Sacchini, Norbert Amougou, Ursula Kiechl-Kohlendorfer, Edwige Landais, Viktoria Anna Kovacs, Rosemarie Martin, Kenneth James, Amaneh Shayanrad, Grethe S. Tell, Norazizah Ibrahim Wong, Vedrana Sember, Anelise Reis Gaya, Konrad Jamrozik, Thorkild I. A. Sørensen, Martin Neovius, Urho M. Kujala, Nathalie Michels, Marcel Goldberg, Alexandra Cucu, Liliana Dacica, Adelheid Weber, Hermann Pohlabeln, Sandjaja, Jukka T. Salonen, Patricia Varona-Pérez, Tiina Laatikainen, Jolanta Słowikowska-Hilczer, Ana Paula Carlos Cândido, Julie Taylor, Anabela Mota-Pinto, Cora L. Craig, Teresa Shamah-Levy, María Dolores Chirlaque, Mohd Azahadi Omar, Dominique Cottel, Charumathi Sabanayagam, Andrea Gazzinelli, Mieczysław Litwin, Sadaf G. Sepanlou, Adolfo Rubinstein, Abbas Dehghan, Rildo de Souza Wanderley Júnior, Wenhua Zhao, Aleksandra Piwońska, Yong Tao, Bontha V. Babu, Marc J. Gunter, Harunobu Nakamura, Wojciech Drygas, Eiji Oda, Jia Li Duan, Stefan Söderberg, Anthony Kafatos, Lynell V Maniego, Els Clays, Wei-Yen Lim, Marshall K. Tulloch-Reid, Mariachiara Di Cesare, Mattias Johansson, Simona Costanzo, Margot González-León, Matthias Nauck, Henry Völzke, George Luiz Lins Machado-Coelho, Annette Peters, Rajiv T Erasmus, Juan Francisco Miquel, Andrea Gualtieri, Abdul Hamid Zargar, Kaare Christensen, Peter Willeit, Tanja Stocks, Christine Cameron, Samuel C. Dumith, Janina Petkeviciene, Boyd Swinburn, Magdalena Muc, Sabine Schipf, Tajana Zeljkovic Vrkic, Martin Bobak, Damian K Francis, Veronica Mocanu, Karien Stronks, Antonisamy Belavendra, Artur Mazur, Nagalla Balakrishna, Jardena J. Puder, Mehrdad Azmin, Shelly R. McFarlane, Sara Santos Sanz, Yang Yang, Anneke Blokstra, Rafel Ramos, Ertugrul Celikcan, Jody C Miller, Jesús Ibarluzea, Svetlana A. Shalnova, Maria Elisa Zapata, Guansheng Ma, Fereidoun Azizi, Beatriz D'Agord Schaan, Pedro Marques-Vidal, William A. Neal, Ana B. Crujeiras, Zhenyu Zhang, Naser Ahmadi, Abdullatif Husseini, Alun Evans, Jiang He, Edyta Łuszczki, Maria G. Stathopoulou, Alibek Mereke, Mari-Liis Tammesoo, Axel C. Carlsson, Helen Gonçalves, Idowu O Senbanjo, Jim Mann, Rajendra Pradeepa, Juel Jarani, Eva Martos, Eugene Sobngwi, Themistoklis Tzotzas, Vassilis Zafiropulos, Reina Engle-Stone, Atul Trivedi, Hui Cai, Sarah Filippi, Georg Posch, Galina Obreja, Cecily Kelleher, Sareh Eghtesad, Chung T Nguyen, Kay-Tee Khaw, Joseph Cacciottolo, Ana Henriques, Yi-Ting Lin, Anil Poudyal, Liam Smeeth, Kenji Shibuya, Emma Ruiz Moreno, Annamari Lundqvist, Thor Aspelund, Caroline H.D. Fall, Philippe Amouyel, Kristyna Zejglicova, Argyro Karakosta, Piotr Bandosz, Juvenal Soares Dias-da-Costa, Maria Lazo-Porras, Maung Maung Than Htike, Dalia Luksiene, Jutta Stieber, Augusto Di Castelnuovo, Aryeh D. Stein, Lechaba Tshepo, Judith Benedics, Aletta E. Schutte, Jürgen König, Magdalena Korzycka, Grzegorz Sobek, Dimitrios Trichopoulos, Tai Hing Lam, Yn-Tz Sung, Masanori Iwasaki, Elias F. Gudmundsson, Antonio Mistretta, Daniel Lemogoum, Nimmathota Arlappa, Isabelle Herter-Aeberli, Khanh Le Nguyen Bao, Shoichiro Tsugane, Kaosar Afsana, Alireza Sadjadi, Myriam Galfo, Jean Claude Mbanya, Bernardo L. Horta, Marleen E. Hendriks, M. Arfan Ikram, Fadia AlBuhairan, Huashuai Chen, Marzieh Katibeh, Sidsel Graff-Iversen, Sahar Saeedi Moghaddam, Larissa Pruner Marques, Louise Eriksen, Aleksandra Gomula, Ricky Eddie, Maciej Banach, Jost B. Jonas, Andrea R. V. R. Horimoto, Slavica Sović, Charles Mondo, Felix Gutzwiller, Mariana Sbaraini, Aye Aye Sein, Henrike Galenkamp, Jaume Marrugat, Nazan Yardim, Cecilia Björkelund, Luigi Palmieri, Roya Kelishadi, Jie Mi, Nahla Hwalla, Jing Liu, Davide Noto, Panayiotis K. Yiallouros, Kelias P. Msyamboza, Judith Simons, Sofia Malyutina, Michele Monroy-Valle, Andres Metspalu, Lariane M Ono, Rafaela Rosário, Flora A. Ukoli, Efthymios Kapantais, Enzo Manzato, S. Goya Wannamethee, Alison J Price, Gregorio Varela-Moreiras, Ali Reza Safarpour, Erfan Ghasemi, Janine Clarke, René Charles Sylva, Wan Nazaimoon Wan Mohamud, Zhamyila Usupova, Chaoqiang Jiang, Julio Zuñiga Cisneros, Freja B Kampmann, Wei Cheng Lo, Reza Mohammadpourhodki, Kaspar Staub, Mojtaba Farjam, Vincenzo Solfrizzi, Garry L. Jennings, Fabio Galvano, Monika Zuziak, Karin De Ridder, Lucie Viet, Anna Bugge, Mehdi Yaseri, Safiah Md Yusof, Sandra C. Fuchs, Emmanuel Cohen, Snehalatha Chamukuttan, Maria Ruiz-Castell, Karen Sparrenberger, Pedro Plans-Rubio, Wei Zheng, Eldridge Ferrer, Martijn Huisman, Maria Hassapidou, Iris Pigeot, Jakub Stokwiszewski, Domenico Palli, Ewelina Czenczek-Lewandowska, Ramiro Guerrero, Farzad Hadaegh, Han Cg Kemper, Saeid Safiri, Ivan Pećin, Arnaud Chiolero, Niels Møller, Jorge Bezerra, Ulrike Gehring, Iná S. Santos, Dénes Molnár, Muhammad Fadhli Mohd Yusoff, Marie Moitry, Nizal Sarrafzadegan, Jacqueline F. Price, Ranko Stevanovic, Sai Yin Ho, Georg Lappas, Alberto Palloni, Malay K. Mridha, Elaine M. Dennison, Jeonghee Lee, Saeid Eslami, Rahman Shiri, Japhet Killewo, Juergen Breckenkamp, Mathilde Kersting, Y Nikitin, Iqbal Bata, Geetha R Menon, Maria Avdicova, Sanjay Rampal, Antônio Augusto Moura da Silva, Kirsten Mehlig, Chien-An Sun, Ramin Heshmat, Violeta Iotova, Stefaan Demarest, Mette Rasmussen, Dirk De Bacquer, San-Lin You, Suzanne N Morin, Martin Gulliford, Maties Torrent, Luc Dauchet, Fred Paccaud, Paibul Suriyawongpaisal, Sherali Rakhmatulloev, Hyeon Chang Kim, Markku Peltonen, Ruth Frikke-Schmidt, Vera Musil, Ahmad Ali Zainuddin, Angela Chetrit, Dan Zhu, Gowri Mahasampath, Ulrich Keil, Sérgio Viana Peixoto, Haiquan Xu, Helle-Mai Loit, Valérie Deschamps, Ilpo Huhtaniemi, Lijuan Liu, Marialaura Bonaccio, Altan Onat, Rody G. Sy, José María Huerta, Ko Ko Zaw, Akihiro Yoshihara, Peter Ueda, Belgin Ünal, Rachel Dankner, Andrzej Wiecek, Eman Aly, Ruzena Kubinova, Justina Vaitkeviciute, Hanna Tolonen, Priscilla Duboz, Orn Olafsson, Yin Guo, Chiara Donfrancesco, Salim Mohanna, Dusan Grafnetter, Daniel Weghuber, Ali Ahmadi, Rosemary B. Duda, E. Shyong Tai, Louise A. Baur, Nihal Thomas, Prabhdeep Kaur, Norlaila Mustafa, Shariq Rashid Masoodi, Liis Nelis, Badreya Al-Lahou, J. Jaime Miranda, Lèlita Santos, Aroor Bhagyalaxmi, Mohamed Bamoshmoosh, Børge G. Nordestgaard, Jeannette Lee, Ahmad Reza Dorosty, Alain Morejon, Ying-Wei Wang, Jakob Tarp, Rosalba Rojas-Martínez, Luxia Zhang, Bahram Mohajer, Maja Bæksgaard Jørgensen, Jurate Klumbiene, Zhengming Chen, Ambady Ramachandran, Andrea Rodriguez-Martinez, Alisha N. Wade, Suyeon Park, Janne Schurmann Tolstrup, Lucjan Szponar, Krishna Kumar Aryal, Tahir Aris, Mahfuzar Rahman, Dorja Vočanec, Juan P. González-Rivas, Rob M. van Dam, Daniel Bia, Oonagh Markey, Ryutaro Ohtsuka, Kumiko Ohara, Ričardas Radišauskas, Jurate Medzioniene, Tiina Vlasoff, Tania Tello, Suzanne C. Ho, Kodavanti Mallikharjuna Rao, May Soe Aung, Vesselka Duleva, Michael Hobbs, Lutgarde Thijs, Marjolein Visser, Parasmani Dasgupta, Inge Huybrechts, Raimund Erbel, Alice Bonilla-Vargas, Hermann Brenner, Mohammad Reza Fattahi, Jolanda Hyska, Roman Topor-Madry, Ranjit Mohan Anjana, Merike Liivak, Eruke E. Egbagbe, Mathilde Savy, Herculina S. Kruger, Neil Murphy, Vinay Nangia, Cesar G. Victora, Mostafa K. Mohamed, H. Bas Bueno-de-Mesquita, Gabriella Gruden, Marcos André Moura-dos-Santos, Mohammed Rasoul Tarawneh, Maria Teresa Menzano, Francesco Branca, Abdonas Tamosiunas, Elena Bogova, Niveen M E Abu-Rmeileh, Maroje Sorić, Aleksander Giwercman, Elżbieta Dziankowska-Zaborszczyk, Tatjana Hejgaard, Yves Kameli, Margarita Samoutian, Andreia N. Pizarro, Jin Soo Moon, Frank Claessens, Zulfiqar A Bhutta, Frank Tanser, Nor Azwany Yaacob, Vanina Bongard, Gregor Jurak, Johan G. Eriksson, Christina-Paulina Lambrinou, Hanspeter Stamm, Kim Overvad, Yanping Li, Carsten Oliver Schmidt, Thomas Meinertz Dantoft, Wichai Aekplakorn, Anwar Batieha, Eduardo Capuano, Teresa Haugsgjerd, Jeremy M. Jacobs, Paola Russo, Nguyen D Nguyen, Luis Revilla, Hossein Poustchi, Farid Najafi, Giovanni de Gaetano, Wan Mohamad Wan Bebakar, Paul Elliott, Denise Eldemire-Shearer, Angela Döring, Giovanni Viegi, Xiaoguang Yang, María-Elena González-Villalpando, Maria Puiu, Maria Benedetta Donati, Andrew Wong, Tomasz Zdrojewski, Carlos P. Boissonnet, Mohamad Hasnan Ahmad, Mahmudur Rahman, Günther Fink, Marcia Makdisse, Dragana P Jovic, Aline Wagner, Coimbatore Subramaniam Shanthirani, Pascal Bovet, Dong Wook Kim, Tom Wilsgaard, Anders Grøntved, Thirunavukkarasu Sathish, Antonia Trichopoulou, Noushin Mohammadifard, Igor Spiroski, Natasja M. van Schoor, Cláudia S. Minderico, Betina H. Thuesen, Queenie Chan, Ulf Ekelund, Laura A. Rodríguez-Villamizar, Line Lund Kårhus, Cihangir Erem, Amina Barkat, Maria Paula Santos, Fernanda Cunha Soares, Constanta Huidumac Petrescu, Allan G. Hill, Honor Bixby, Benoît Salanave, Joana Carvalho, Maigeng Zhou, Ofra Kalter-Leibovici, Roy A Wong-McClure, Kim F. Michaelsen, Doris Stöckl, Rosalynn Siantar, Jouko Saramies, José R. Banegas, Quang Ngoc La, Uruwan Yamborisut, Parinaz Mehdipour, Farhad Pourfarzi, Sudha Ramachandra Rao, Katsuyasu Kouda, Chien-Jen Chen, Rafael dos Santos Henrique, Martin Nankap, Allan Linneberg, Ronald D. Gregor, Rudolf Kaaks, Maria do Carmo Franco, Marta García-Solano, Beata Gurzkowska, Bahman Cheraghian, Stefaan De Henauw, Daniel Ferrante, Johanna A. Otero, Jamila Abubakar Garba, Antonio Pedro Graça, Sumit Bharadwaj, Shiqi Zhen, Xiu-Hua Guo, Prashant Mathur, Raphael Mendes Ritti-Dias, Kouamelan Doua, Esteban Carmuega, Majid Shirani, Przemyslaw Slusarczyk, Petra Rust, Visnja Djordjic, Farahnaz Joukar, Johanna Gunnlaugsdottir, Leila Houti, Nayu Ikeda, Imperia Brajkovich, Amirabbas Momenan, Erik J. Timmermans, Marcin Rutkowski, Biruta Velika, Joana Araújo, Jostein Steene-Johannessen, Christa L. Lilly, Per Tynelius, Michael Tornaritis, Anne Juolevi, Fatima Zahra Laamiri, Carl Lachat, Kai-Uwe Saum, Espen Bjertness, Ana P. Ortiz, Joel G. R. Roy, Himanshu K. Chaturvedi, Michelle Holdsworth, Niels Wedderkopp, Johan Van der Heyden, Mukharram M. Bikbov, Hsien-Ho Lin, Eva Corpeleijn, Harshpal Singh Sachdev, Mohammad Reza Mirjalili, Maria del Cristo Rodriguez-Perez, Michala Lustigová, Tuyen D Le, Teresa Norat, Hana Zamrazilová, Garry Brian, Tien Yin Wong, Rosa Haghshenas, Clive Osmond, Diego Giulliano Destro Christofaro, Mahmood Moosazadeh, Vilma Irazola, Olli T. Raitakari, Marco Aurélio Peres, Terho Lehtimäki, Shuohua Chen, Dimitrios Papandreou, Robert J. Adams, Sigmund A. Anderssen, Peter T. Katzmarzyk, Luisa M Macieira, Félicité Tchibindat, Lital Keinan Boker, Toshiharu Ninomiya, Morten Sodemann, Jytte Halkjær, Zbigniew Kułaga, Sophie Visvikis-Siest, Farshad Farzadfar, N Capkova, Zumin Shi, Maria Turley, Zbigniew Gaciong, Giovanni Veronesi, Martin McKee, Veikko Salomaa, Gilad Twig, Elisabetta L. Romeo, Peter Kristensen, Grazyna Jasienska, Victor Guillermo Sequera, Mario V. Capanzana, Con Burns, Emanuela Pettenuzzo, Ming-Dong Wang, Jonathan Giovannelli, Stela McLachlan, Ellis Owusu-Dabo, Stefania Toselli, Maria Teresa Anselmo Olinto, Senthil K Vasan, Sara Schramm, Xenophon Theodoridis, Moyses Szklo, Ramfis Nieto-Martínez, Viswanathan Mohan, Guillermo Frontera, Rahul Malhotra, Thomas Ferrao, Dongfeng Gu, Tomas Vega, Hynek Pikhart, Päivi Mäki, Heba Fouad, Vilnis Dzerve, Christina Howitt, Seyed Mohammad Hashemi-Shahri, Jenny M. Kindblom, Marjolijn C. E. Bragt, G. K. Mini, Qian Wang, Liufu Cui, Andrzej Galbarczyk, Sylvain Sebert, Vilmundur Gudnason, Loreto Santa Marina, Kairat Davletov, Afshin Ostovar, Niloofar Peykari, Nicholas J. Wareham, Wilma M. Hopman, Karl-Heinz Jöckel, Jussi Kauhanen, Breige A. McNulty, Alina Kerimkulova, Youcef Laid, Claes Ohlsson, Stefan Kiechl, Alicia Matijasevich, Boban Mugoša, Srinivasan Kannan, Jyrki K. Virtanen, Mohan Deepa, Mangesh S. Pednekar, Shahla AlDhukair, Cynthia M. Pérez, Vera Lanska, Tint Swe Latt, Dominique Hange, João Luiz Bastos, Eliza Markidou Ioannidou, Leticia Hernandez Cadena, Maya Tanrygulyyeva, Reza Malekzadeh, Dimitrios Poulimeneas, Pedro Ordunez, Thomas Waldhör, Ioannis Pagkalos, Carlo M. Barbagallo, Abla M. Sibai, Peter Vollenweider, Asher Fawwad, Emily Sonestedt, Elena Pahomova, Santosh K. Bhargava, Patrick Kolsteren, Aya Mostafa, Fangfang Chen, Flavio Nervi, Imre Janszky, Arvind Pandey, Renata Cifkova, Alexandre C. Pereira, Alejandro Diaz, Alireza Ansari-Moghaddam, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Rusidah Selamat, Dianna J. Magliano, Jitendra Jonnagaddala, Konstantinos Gkiouras, Paul Korrovits, Paola Nardone, Paolo Vineis, Kotsedi D Monyeki, Khuong Quynh Long, Alberto Barceló, Camilla T. Damsgaard, Constance Schultsz, Frank J Rühli, Santiago F. Gomez, Tara Coppinger, Muhammad Islam, Pierre Traissac, Eleonora d'Orsi, Irfan Nuhoglu, Rui Providência, Bernard Maire, Leandra Abarca-Gómez, Sinead Brophy, Daniela Pierannunzio, Cristina Taddei, Wen-Harn Pan, Gregor Starc, Abdullah Alkandari, Saeed Dastgiri, Lien Braeckevelt, Gustavo Velasquez-Melendez, Sudhir Kowlessur, Bagher Larijani, Cynthia Robitaille, Mohamed M. Ali, Steiner Krokstad, Noor Ani Ahmad, Anar Dushpanova, Agustinus Soemantri, Susana Sans, Ionela Pascanu, Gwenaëlle Le Coroller, Inger Ariansen, Abhijit Sen, Sergej M. Ostojic, Silvana Donoso, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Hanan F. Abdul Rahim, Yadlapalli S. Kusuma, Michael Knoflach, Moein Yoosefi, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Tomi-Pekka Tuomainen, Francesco Gianfagna, Stefania Maggi, Mohammad Hossein Somi, Behrooz Hamzeh, Bethlehem D. Solomon, Herman Borghs, Zhanna Kalmatayeva, Heidi Klakk, Akram Pourshams, Naomi S. Levitt, Miquel Porta, Vesna Jureša, Alexander D. Deev, Son Thai Pham, Paula Margozzini, Silvia Bel-Serrat, Dora Romaguera, Monira Alarouj, Winsome R. Parnell, Marloes Cardol, David Faeh, Antonio Bernabe-Ortiz, Giota Touloumi, Maryam Kavousi, Sanja Musić Milanović, Jalila El Ati, Sauli Herrala, Liang Xu, Sirkka Keinänen-Kiukaanniemi, Ian Hambleton, Stefan Savin, Andre Pascal Kengne, R. Krishna Kumar, Kurt Widhalm, Marco M Ferrario, Parisa Amiri, Yi Song, Jianfeng Wu, Jeannette Klimont, Jean Ferrières, Farhad Zamani, Shina Avi, Luis Paulo Gomes Mascarenhas, Aluísio J D Barros, Reecha Sofat, Koen Van Herck, Hoang Van Minh, Enrique Gutiérrez-González, Martine Vrijheid, Susana Cararo Confortin, Antonis Zampelas, Bogdan Wojtyniak, Ausra Petrauskiene, Juha Auvinen, Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Young-Ho Khang, Ellina Rakhimova, Magdalena Klimek, Luís Lopes, Erkin M. Mirrakhimov, Maria Lc Iurilli, Günay Can, Mark Woodward, Esther Lopez-Garcia, Mauro Virgílio Gomes de Barros, Ahmed A. Madar, Rainford J. Wilks, Shoaib Afzal, Melanie J. Cowan, Gareth Stratton, Eduardo Salazar Martinez, Sameer Narake, Norie Sawada, Li Juan Wu, Adrian Richter, Licia Iacoviello, Hanno Ulmer, Deepak Amarapurkar, Mohsen Ibrahim, Hamed Pouraram, Massimo Salvetti, Hung-Kwan So, Yonghua Hu, Lars Ängquist, Thi Tuyet-Hanh Tran, Charles Lunogelo, Sabina Zambon, Angelika Schaffrath Rosario, Lauren Lissner, Kamarul Imran Musa, Deepa Weerasekera, Bihungum Bista, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Irene G. M. van Valkengoed, Anna Fijałkowska, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Nasheeta Peer, Radka Taxová Braunerová, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Eliza Cinteza, Ha Tp Do, and Alison J. Hayes
Subjects: education.field_of_study, business.industry, Population, Distribution (economics), medicine.disease, Obesity, Geography, medicine, Underweight, medicine.symptom, education, business, Body mass index, Demography
Published: 2020

47. Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions

Author: Alida Alves, Andrijana Todorović, Mário J. Franca, Zvonimir Kocic, Blanca Perez-Lapeña, Anja Randelovic, Leng Hsuan Tseng, Vladimir Beljinac, Meng Hsuan Wu, Tobias Bahlmann, Laddaporn Ruangpan, Wei Cheng Lo, Dong Jiing Doong, Zoran Vojinovic, and Jasna Plavšić
Subjects: Multi-criteria analysis, Computer science, Geography, Planning and Development, Taiwan, Nature based, Nature-based Solutions in River Landscapes, Climate change mitigation, Rivers, Multi criteria, Order (exchange), Humans, Environmental Chemistry, Flood risk reduction, Risk management, Flexible response, Ecology, business.industry, Uncertainty, Biodiversity, General Medicine, Nature-Based Solutions, River basin, Risk analysis (engineering), Paradigm shift, Scale (social sciences), business, Serbia
Abstract: Hydro-meteorological risks are a growing issue for societies, economies and environments around the world. An effective, sustainable response to such risks and their future uncertainty requires a paradigm shift in our research and practical efforts. In this respect, Nature-Based Solutions (NBSs) offer the potential to achieve a more effective and flexible response to hydro-meteorological risks while also enhancing human well-being and biodiversity. The present paper describes a new methodology that incorporates stakeholders’ preferences into a multi-criteria analysis framework, as part of a tool for selecting risk mitigation measures. The methodology has been applied to Tamnava river basin in Serbia and Nangang river basin in Taiwan within the EC-funded RECONECT project. The results highlight the importance of involving stakeholders in the early stages of projects in order to achieve successful implementation of NBSs. The methodology can assist decision-makers in formulating desirable benefits and co-benefits and can enable a systematic and transparent NBSs planning process. Electronic supplementary material The online version of this article (10.1007/s13280-020-01419-4) contains supplementary material, which is available to authorized users.
Published: 2020

48. Enhancing Data Linkage to Break the Chain of COVID-19 Spread: The Taiwan Experience (Preprint)

Author: Wei-Cheng Lo, Fu-Chung Wang, Li-Yin Lin, Hong-Wei Jyan, Hsuan-Chien Wu, Yao-Liang Huang, I-Ming Parng, and Hung-Yi Chiou
Subjects: InformationSystems_MISCELLANEOUS
Abstract: UNSTRUCTURED Digital technology has been widely used in health care systems and disease management, as well as in controlling the spread of COVID-19. As one of the most successful countries in combating the COVID-19 pandemic, Taiwan has successfully used digital technology to strengthen its efforts in controlling the COVID-19 pandemic. Taiwan has a well-established National Health Insurance System (NHIS), which provides a great opportunity to develop a nationwide data linkage model in an agile manner. Here we provide an overview of the application of data linkage models for strategies in combating COVID-19 in Taiwan, including NHIS centralized data linkage systems and “from border to community” information-driven data linkage systems during the COVID-19 pandemic. Furthermore, we discuss the dual role of digital technologies in being an “enabler” and a “driver” in early disease prevention. Lastly, Taiwan’s experience in applying digital technology to enhance the control of COVID-19 potentially highlights lessons learned and opportunities for other countries to handle the COVID-19 situation better.
Published: 2020

49. Enhancing Data Linkage to Break the Chain of COVID-19 Spread: The Taiwan Experience

Author: Hsuan-Chien Wu, Li-Yin Lin, Hong-Wei Jyan, Yao-Liang Huang, Wei-Cheng Lo, Hung-Yi Chiou, Fu-Chung Wang, and I-Ming Parng
Subjects: Knowledge management, 020205 medical informatics, Coronavirus disease 2019 (COVID-19), infectious disease, Control (management), Computer applications to medicine. Medical informatics, R858-859.7, Taiwan, digital health, Information Storage and Retrieval, spread, Health Informatics, 02 engineering and technology, 03 medical and health sciences, 0302 clinical medicine, Viewpoint, prevention, Pandemic, Health care, 0202 electrical engineering, electronic engineering, information engineering, Disease Transmission, Infectious, Humans, 030212 general & internal medicine, Disease management (health), Pandemics, data linkage, business.industry, SARS-CoV-2, COVID-19, Disease Management, National Health Insurance System, Digital health, Enabling, Public aspects of medicine, RA1-1270, digital technology, business, management, Agile software development
Abstract: Digital technology has been widely used in health care systems and disease management, as well as in controlling the spread of COVID-19. As one of the most successful countries in combating the COVID-19 pandemic, Taiwan has successfully used digital technology to strengthen its efforts in controlling the COVID-19 pandemic. Taiwan has a well-established National Health Insurance System (NHIS), which provides a great opportunity to develop a nationwide data linkage model in an agile manner. Here we provide an overview of the application of data linkage models for strategies in combating COVID-19 in Taiwan, including NHIS centralized data linkage systems and “from border to community” information-driven data linkage systems during the COVID-19 pandemic. Furthermore, we discuss the dual role of digital technologies in being an “enabler” and a “driver” in early disease prevention. Lastly, Taiwan’s experience in applying digital technology to enhance the control of COVID-19 potentially highlights lessons learned and opportunities for other countries to handle the COVID-19 situation better.
Published: 2020

50. A simple strategy to enhance the speed of protein secondary structure prediction without sacrificing accuracy

Author: Wei-Cheng Lo, Sheng Hung Juan, and Teng Ruei Chen
Subjects: Computer science, Entropy, Information Theory, Protein Structure Prediction, Biochemistry, Protein Structure, Secondary, Reduction (complexity), Database and Informatics Methods, Protein Structure Databases, 0302 clinical medicine, Protein sequencing, Protein structure, Mathematical and Statistical Techniques, Macromolecular Structure Analysis, Databases, Protein, Protein secondary structure, 0303 health sciences, Multidisciplinary, Physics, Statistics, Protein structure prediction, Data Accuracy, Physical Sciences, Medicine, Thermodynamics, Information Technology, Algorithm, Information Entropy, Sequence Analysis, Algorithms, Research Article, Protein Structure, Computer and Information Sciences, Bioinformatics, Science, Sequence Databases, Homology (mathematics), Research and Analysis Methods, Universal Protein Resource, 03 medical and health sciences, Entropy (information theory), Computational structural biology, Statistical Methods, Molecular Biology, 030304 developmental biology, Sequence Homology, Amino Acid, Biology and Life Sciences, Proteins, Computational Biology, Data Reduction, Biological Databases, Sequence Alignment, 030217 neurology & neurosurgery, Mathematics, Forecasting
Abstract: The secondary structure prediction of proteins is a classic topic of computational structural biology with a variety of applications. During the past decade, the accuracy of prediction achieved by state-of-the-art algorithms has been >80%; meanwhile, the time cost of prediction increased rapidly because of the exponential growth of fundamental protein sequence data. Based on literature studies and preliminary observations on the relationships between the size/homology of the fundamental protein dataset and the speed/accuracy of predictions, we raised two hypotheses that might be helpful to determine the main influence factors of the efficiency of secondary structure prediction. Experimental results of size and homology reductions of the fundamental protein dataset supported those hypotheses. They revealed that shrinking the size of the dataset could substantially cut down the time cost of prediction with a slight decrease of accuracy, which could be increased on the contrary by homology reduction of the dataset. Moreover, the Shannon information entropy could be applied to explain how accuracy was influenced by the size and homology of the dataset. Based on these findings, we proposed that a proper combination of size and homology reductions of the protein dataset could speed up the secondary structure prediction while preserving the high accuracy of state-of-the-art algorithms. Testing the proposed strategy with the fundamental protein dataset of the year 2018 provided by the Universal Protein Resource, the speed of prediction was enhanced over 20 folds while all accuracy measures remained equivalently high. These findings are supposed helpful for improving the efficiency of researches and applications depending on the secondary structure prediction of proteins. To make future implementations of the proposed strategy easy, we have established a database of size and homology reduced protein datasets at http://10.life.nctu.edu.tw/UniRefNR.
Published: 2020

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