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Applying clustering coefficient to the pattern of international author collaboration in neuroimmunology and neuroinflammation

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Neuroimmunology and Neuroinflammation 2018年第3期5卷 20-28页

作者： Chen-Fang Hsu tsair-wei chien Julie Chi Chow Willy Chou Department of Paediatrics Chi-Mei Medical CenterTainan710Taiwan Research Department Chi-Mei Medical CenterTainan710Taiwan Department of Paediatrics Kaohsiung Medical UniversityKaohsiung800Taiwan Department of Physical Medicine and Rehabilitation Chi-Mei Medical CenterTainan710Taiwan Department of Recreation and Health-Care Management&Institute of Recreation Industry Management Chia Nan University of PharmacyTainan711Taiwan

Aim: To apply cluster coefficient (CC) to the pattern of international author collaborations in neuroimmunology and neuroinflammation using data from Medline and to visualize results using Google maps and social network analysis (SNA). Methods: Selecting 2799 abstracts, author names, countries, and keywords on January 22, 2018 from Medline based on keyword neuroimmunology (or neuroinflammation) within the article title since 1982, we reported following features: (1) nation distribution for the 1st author's nationality;(2) eminent journals and authors in the field of neuroimmunology and neuroinflammation;(3) notable keywords defined by authors representing both neuroimmunology and neuroinflammation;and (4) CCs in networks. We programmed Microsoft Excel VBA routines to extract data from Medline and used Google Maps and SNA Pajek software to display graphical representations with an easy-to-read feature for readers. Results: We found that: (1) the most number of papers in neuroimmunology and neuroinflammation are from the USA (902, 32.23%) and China (363, 12.97%);(2) the productive journals and authors in neuroimmunology and neuroinflammation are J Neuroinflammation and PLoS One, and Michael T. Heneka (Germany) and Richard M. Ransohoff (USA);(3) the most linked keywords are interleukin (IL), IL-1beta, and blood brain barrier;(4) author networks present higher CC than those nation networks. Conclusion: SNA provides wide and deep insight into the relationships among nations in co-author collaboration. The results can help readers in future submission to a journal in neuroimmunology and neuroinflammation.

关键词： Authorship collaboration Google Maps neuroimmunology neuroinflammation social network analysis

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Serum monoterpene levels, glucose homeostasis, lipid profiles, and metabolic syndrome in adults: NHANES, 2013–2014

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Emerging Contaminants 2024年第2期10卷 33-39页

作者： wei-Jie Wang Yu-Ling Lin Chikang Wang chien-Yu Lin Division of Nephrology Department of Internal MedicineTaoyuan General HospitalMinistry of Health and WelfareTaoyuan330TaiwanChina Department of Biomedical Engineering Chung Yuan Christian UniversityTaoyuan300TaiwanChina Department of Nephrology Hsinchu Cathay General HospitalHsinchu300TaiwanChina Department of Healthcare Management Yuanpei University of Medical TechnologyHsinchu300TaiwanChina Department of Environmental Engineering and Health Yuanpei University of Medical TechnologyHsinchu300TaiwanChina Department of Internal Medicine En Chu Kong HospitalNew Taipei City237TaiwanChina School of Medicine Fu Jen Catholic UniversityNew Taipei City242TaiwanChina

Monoterpenes are organic compounds which have been studied for their medicinal ***,the association between monoterpene exposure and metabolic parameters in humans is *** investigated the connection between three specific monoterpenes(α-pinene,β-pinene,and limonene),glucose homeostasis biomarkers,lipid profiles,and metabolic syndrome(MS)in 1627 adults from the National Health and Nutrition Examination Survey(NHANES)2013–*** found serum levels ofα-pinene andβ-pinene were positively associated with fasting glucose,total cholesterol,triglyceride,and apolipoprotein *** addition,increased levels of limonene andΣmonoterpene(sum of three monoterpene chemicals)were linked to higher insulin,β-cell function,total cholesterol,low density lipoprotein cholesterol(LDL-C),triglycerides,and apolipoprotein *** with all three monoterpenes above the 50th percentile had notably higher values for total cholesterol and triglycerides compared to those with all three monoterpenes below the 50th percentile(P for trend<0.001).Regarding MS,higher serum concentrations ofα-pinene were linked to an increased risk of high-density lipoprotein cholesterol(HDL-C)insufficiency and *** concentrations ofβ-pinene were associated with a higher prevalence of ***,increased levels of limonene andΣmonoterpene were connected to a higher risk of MS,larger waist circumference,low HDL-C,hypertriglyceridemia,and higher blood pressure according to MS *** conclusion,serum monoterpenes levels were linked to glucose regulation,lipid profiles,and indicators of *** studies are necessary to clarify the potential causal relationships.

关键词： Glucose homeostasis Lipid profiles Monoterpenes National health and nutrition examination survey(NHANES)

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The most cited articles on the topic of health behaviors in Google Trends research: a systematic review

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Advances in Generial Practice of Medicine 2018年第1期1卷 1-7页

作者： wei Chih Kan tsair wei chien Hsien Yi Wang Willy Chou Department of Nephrology Chi-Mei Medical Center Tainan Taiwan Department of Biological Science and Technology Chung Hwa University of Medical Technology Tainan Taiwan Medical Research Department Chi-Mei Medical Center Tainan Taiwan Department of Sport Management College of Leisure and Recreation Management Chia Nan University of Pharmacy and Science Tainan Taiwan Department of physical medicine and rehabilitation Chi Mei medical center Tainan Taiwan Department of Recreation and Health-Care Management Institute of recreation Industry Management Chia Nan University of Pharmacy Tainan Taiwan

Background: Over the past decade, the use of Web-based data in public health issues has been proven useful in assessing various aspects of human behavior. Google Trends is the most popular tool to gather such information and has been applied to several topics with the most focused subject related to health and medicine. However, the most cited articles and the popular medical subject headings (MESH terms) on health behaviors in Google Trends research remain unknown. The web-based behavior requires to monitor and analyze on-line data for examining actual human behavior to predict and even prevent health-related issues that constantly arise in daily life. Objective: This systematic review aimed at reporting and further presenting the most cited articles and the popular MESH terms on health behaviors in Google Trends (infodemiology) researches in health-related topics since 2009 to provide an overview of the topic burst for future research on the subject of health behavior. Methods: Following the Meta-Analyses guidelines for selecting studies, we searched for the term “Google Trends [Title]” in PubMed databases since 2009, applying specific criteria for types of journal articles. A total of 86 published papers were extracted, excluding those that did not fall inside the topics of health and medicine or the selected article types. We then further categorized the published papers according to MESH terms using social network analysis (SNA) and selected the most cited articles that related to the health behavior in Google Trends. Results: The most cited articles are those from the US in 2009 (PMID= 19845471 cited 88 times) and the UK in 2013 (PMID= 23619126 cited 74 times). The MESH term represented by Internet earns the highest impact factor (IF) and presents significantly different among term clusters (F (3,20)=15.79, p<0.001). The most number of citing journals is from PloS One. The most number of author affiliations is from the US. Conclusion: The monitoring of online

关键词： health behavior infodemiology Google Trends medical subject headings social network analysis

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Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without nonalcoholic fatty liver

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World Journal of Clinical Cases 2024年第15期12卷 2506-2521页

作者： I-chien Chen Lin-Ju Chou Shih-Chen Huang Ta-wei Chu Shang-Sen Lee Department of Nursing Kaohsiung Armed Forces General HospitalKaohsiung 802Taiwan Department of Obstetrics and Gynecology Tri-Service General HospitalNational Defense Medical CenterTaipei 114Taiwan Chief Executive Officer's Office MJ Health Research FoundationTaipei 114Taiwan Department of Urology Taichung Tzu Chi HospitalBuddhist Tzu Chi Medical FoundationTaichung 427Taiwan School of Medicine Tzu Chi UniversityHualian 970Taiwan Department of Urology Tri-Service General HospitalNational Defense Medical CenterTaipei 114Taiwan

BACKGROUND The prevalence of non-alcoholic fatty liver(NAFLD)has increased *** with NAFLD are known to have higher chance for renal function *** past studies used traditional multiple linear regression(MLR)to identify risk factors for decreased estimated glomerular filtration rate(eGFR).However,medical research is increasingly relying on emerging machine learning(Mach-L)*** present study enrolled healthy women to identify factors affecting eGFR in subjects with and without NAFLD(NAFLD+,NAFLD-)and to rank their *** To uses three different Mach-L methods to identify key impact factors for eGFR in healthy women with and without *** A total of 65535 healthy female study participants were enrolled from the Taiwan MJ cohort,accounting for 32 independent variables including demographic,biochemistry and lifestyle parameters(independent variables),while eGFR was used as the dependent *** from MLR,three Mach-L methods were applied,including stochastic gradient boosting,eXtreme gradient boosting and elastic *** of estimation were used to define method accuracy,where smaller degree of error indicated better model *** Income,albumin,eGFR,High density lipoprotein-Cholesterol,phosphorus,forced expiratory volume in one second(FEV1),and sleep time were all lower in the NAFLD+group,while other factors were all significantly higher except for smoking ***-L had lower estimation errors,thus outperforming *** Model 1,age,uric acid(UA),FEV1,plasma calcium level(Ca),plasma albumin level(Alb)and T-bilirubin were the most important factors in the NAFLD+group,as opposed to age,UA,FEV1,Alb,lactic dehydrogenase(LDH)and Ca for the *** the importance percentage was much higher than the 2nd important factor,we built Model 2 by removing *** The eGFR were lower in the NAFLD+group compared to the NAFLD-group,with age being was the most important impact factor in both groups of he

关键词： Non-alcoholic fatty liver Estimated glomerular filtration rate Machine learning Chinese women

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Detecting Dengue Fever in Children: Using Sequencing Symptom Patterns for An Online Assessment Approach

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Advances in Health and Behavior 2018年第1期1卷 12-16页

作者： tsair-wei chien Julie Chi Chow Yu Chang Willy Chou Medical Research Department Chi-Mei Medical Center Tainan Taiwan Department of Paediatrics Chi-Mei medical center Tainan Taiwan National Taiwan University School of Medicine Taiwan Department of Sports Management College of Leisure and Recreation Management Chia Nan University of Pharmacy and Science Tainan Taiwan Ncphrology Department Chi-Mei Medical Center Tainan Taiwan

Background: Dengue fever (DF) is an important health problem in Asia. We examined it using its clinical symptoms to predict DF. Methods: We extracted statistically significant features from 17 DF-related clinical symptoms in 177 pediatric patients (69 diagnosed with DF) using the unweighted summation score and the non-parametric HT person fit statistic, which jointly combine the weighted score (yielded by logistic regression) to predict DF risk. Results: Six symptoms (Family History, Fever 39C, Skin Rash, Petechiae, Abdominal Pain, and Weakness) significantly predicted DF. When a cutoff point of 1.03 (p = 0.26) suggested combining the weighted score and the HT coefficient, the sensitivity was 0.91 and the specificity was 0.76. The area under the ROC curve was 0.88, which was a better predictor: specificity was 5.56% higher than for the traditional logistic regression. Conclusions: Six simple symptoms analyzed using logistic regression were useful and valid for early detection of DF risk in children. A better predictive specificity increased after combining the non-parametric HT coefficient to the weighted regression score. A self-assessment using patient smart phones is available to discriminate DF and may eliminate the need for a costly and time-consuming dengue laboratory test.

关键词： dengue fever HT person mapping statistic logistic regression score summation receiver operating characteristic curve

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The most highly-cited authors who published papers on the topic of health behavior: A Bibliometric Analysis

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Advances in Health and Behavior 2018年第1期1卷 24-29页

作者： Chen Fang Hsu tsair wei chien Julie Chi Chow Willy Chou Department of Paediatrics Chi Mei medical center Tainan Taiwan Department of Paediatrics Kaohsiung Medical University Kaohsiung Taiwan Research Department Chi-Mei Medical Center Tainan Taiwan Department of physical medicine and rehabilitation Chi Mei medical center Tainan Taiwan Department of Recreation and Health-Care Management Institute of recreation Industry Management Chia Nan University of Pharmacy Tainan Taiwan

Background: Health behavior (HB) is an action taken by a person who pursues good health and prevents illness. Health behavior, thus, reflects a person’s health beliefs and attracts, particularly, on published papers in academics. However, who is the most influential author (MIA) with highly-cited papers on HB remains unknown. Objective: The purpose of this study is to apply the authorship-weighted scheme (AWS) developed by authors to select the MIA on HB using the visual displays on Google Maps. Methods: We obtained 1,116 abstracts published between 2012 and 2016 from Medline based on the keywords of (health [Title]) and (behavior [Title] or behavior [Title]) on September 22, 2018. The author names, countries/areas, and Pubmed paper IDs were recorded. The AWS was applied to (1) select the most productive authors (MPA) using social network analysis (SNA);(2) discover the MIA using h-indexes and author impact factors (AIF) dispersed on Google Maps, and (3) display the countries/areas distributed for the x-index in geography. Pajek software was performed to determine the partition categories of clusters. Results: We found that the MPA and MIA are Matthew K Nock (US) and Erika A Waters (US) for the MPA and MIA, respectively. All visual representations that are the form of a dashboard can be easily displayed on Google Maps. The most influential countries are the US (=19.03) and Australia (=6.46) with the highest x-indexes. Readers are suggested to manipulate them on their own on Google Maps. Conclusion: Many individual researchers achievements (IRA) were determined using h-index, AIF, x-index, or other bibliometric indices without quantifying author contributions. We demonstrated visualized representations on Google Maps using the AWS developed by authors to measure authors influences in a specific discipline. The research approach using the AWS to quantify the authors contributions can be applied to measure IRA in the future.

关键词： authorship-weighted scheme most productive author most influential author Google Maps social network analysis health behavior

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A dashboard on Google Maps to show the most influential author on the topic of health behavior: A Bibliometric Analysis

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Advances in Health and Behavior 2018年第1期1卷 17-23页

作者： Szu-Hau Chen tsair-wei chien Shih-Bin Su Chen-Ching Tang Department of Family Medicine Chi Mei medical center Tainan Taiwan Medical Research Department Chi-Mei Medical Center Tainan Taiwan Department of Leisure Recreation and Tourism Management Southern Taiwan University of Science and Technology Tainan Taiwan Department of Occupational Medicine Chi-Mei Medical Center Tainan Taiwan Department of Medical Research Chi Mei Medical Center Liouying Tainan Taiwan

Background:Health behavior is an action taken by a person to maintain, attain, or regain good health and to prevent illness. As such, health behavior reflects a person’s health beliefs and attracts many published papers in academics. However, who is the most influential author (MIA) remains unknown. Objective: The purpose of this study is to apply the algorithm of between centrality(BC) in social network analysis (SNA) to select the MIA on the topic of health behavior using the visual displays on Google Maps. Methods: We obtained 3,593 abstracts from Medline based on the keywords of (health [Title]) and (behavior [Title] or behaviour [Title]) on June 30, 2018. The author names, countries/areas, and author-defined keywords were recorded. The BCs were applied to (1) select the MIA using SNA;(2) display the countries/areas distributed for the 1st author in geography,(3) discover the author clusters dispersed on Google Maps, and (4) investigate the keywords dispersed for the cluster related to the MIA on a dashboard. Pajek software was performed to yield the BC for each entity (or say node). Results: We found that the MIA is Spring, Bonnie (US). All visual representations that are the form of a dashboard can be easily displayed on Google Maps. The most influential country and the keywords are the US and health behavior. Readers are suggested to manipulate them on their own on Google Maps. Conclusion: Social network analysis provides wide and deep insight into the relationships with the pattern of international author collaborations. If incorporated with Google Maps, the dashboard can release much more information regarding our interesting topics for us in academics. The research approach using the BC to identify the same author names can be applied to other bibliometric analyses in the future.

关键词： Gini coefficient authorship collaboration Google Maps social network analysis health behavior

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Nonlinear Absorption and Low-threshold Two-photon Pumped Amplified Stimulated Emission from FAPbBr_(3) Nanocrystals

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发光学报 2024年第8期45卷 1281-1291页

作者： WANG Yajuan TAY Yong Kang Eugene WANG Fang YU Sheng SUM Tze chien LIU wei School of Materials and Chemical Engineering Ningbo University of TechnologyNingbo 315211China School of Physical and Mathematical Sciences Nanyang Technological UniversitySingapore 637371Singapore College of Optical Mechanical and Electrical EngineeringZhejiang A&F UniversityHangzhou 311300China

Formamidinium lead bromide(FAPbBr_(3))nanocrystals(NCs)have been considered to be a good optoelectronic material due to their pure green emission,excellent stability and superior carrier transport ***,two-photon pumped amplified spontaneous emission(ASE)and the corresponding nonlinear optical properties of FAPbBr_(3) NCs are scarcely ***,we synthesized colloidal FAPbBr_(3) NCs with different sizes by changing the molar ratio of FABr/PbBr_(2) in the precursor solution,using ligand assisted precipitation(LARP)technology at room ***(PL)and time resolved photoluminescence(TRPL)spectroscopy were measured to characterize their ASE *** their nonlinear optical properties were studied through the Zscan technique and the two-photon excited fluorescence *** stimulated emission properties including oneand two-photon pumped ASE have been realized from FAPbBr_(3) *** large two-photon absorption coefficient(0.27 cm/GW)and high non-linear absorption cross-section(7.52×10^(5) GM),ASE with threshold as low as 9.8μJ/cm^(2) and 487μJ/cm^(2) have been obtained from colloidal FAPbBr_(3) NCs using one-and two-photon *** results indicate that as a new possible green-emitting frequency-upconversion material with low thresholds,FAPbBr_(3) NCs hold great potential in the development of high-performance two-photon pump lasers.

关键词： perovskites formamidinium lead bromide nanocrystals nonlinear optical gain amplified spontaneous emission

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Re-evaluating the role of pelvic radiation in the age of modern precision medicine and systemic therapy

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World Journal of Clinical Oncology 2024年第1期15卷 1-4页

作者： Tao-wei Ke Yu-Min Liao Sheng-Chi Chang Che-Hung Lin William Tzu-Liang Chen Ji-An Liang Chun-Ru chien Department of Colorectal Surgery China Medical University HospitalTaichung 40402Taiwan School of Chinese Medicine College of Chinese MedicineChina Medical UniversityTaichung 40402Taiwan Division of Hematology and Oncology Department of Internal MedicineChina Medical University HospitalTaichung 40402Taiwan Department of Colorectal Surgery China Medical University Hsinchu HospitalHsinchu 30272Taiwan School of Medicine College of MedicineChina Medical UniversityTaichung 40402Taiwan Department of Radiation Oncology China Medical University HospitalTaichung 40402Taiwan

The efficacy of pelvic radiation in the management of locally advanced stage rectal cancer has come under scrutiny in the context of modern precision medicine and systemic therapy as evidenced by recent clinical trials such as FOWARC(J Clin Oncol 2019;37:3223-3233),NCT04165772(N Engl J Med 2022;386:2363-2376),and PROSPECT(N Engl J Med 2023;389:322-334).In this review,we comprehensively assess these pivotal trials and offer additional insights into the evolving role of pelvic radiation in contemporary oncology.

关键词： Radiotherapy Locally advanced stage rectal cancer Precision medicine Systemic therapy Clinical trial

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Parametric studies on relationships between flutter derivatives of slender bridge(Ⅱ)

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Applied Mathematics and Mechanics(English Edition) 2009年第2期30卷 335-341页

作者：徐旭 wei-zang chien Department of Civil Engineering Shanghai University Shanghai 200072 P. R. China 不详

Based on curve fitting of coefficients of three component forces of the Messina Straits Bridge, and the previously proposed semi-analytical expressions of flutter derivatives of flexible structure, the change of flutter derivatives of slender bridge cross-section with respect to its aerodynamic center, rotational speed and angle variation is studied using a parametric method. The calculated results are compared with the measured ones, and expressions of flutter derivatives of the Messina Straits Bridge are derived. The intrinsic relationships existing in flutter derivatives are validated again. It is shown that the influence of the rotational speed on flutter derivatives is not negligible. Therefore, it provides an additional semi-analytical approach for analyzing flutter derivatives of the bridge with streamlined cross-section to get its aerodynamic information.

关键词： flutter derivative slender bridge parametric analysis

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