Machine learning applications in healthcare clinical practice and research

Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.

Synthetic data as an investigative tool in hypertension and renal diseases research

There is a growing body of clinical research on the utility of synthetic data derivatives,an emerging research tool in medicine.In nephrology,clinicians can use machine learning and artificial intelligence as powerful aids in their clinical decision-making while also preserving patient privacy.This is especially important given the epidemiology of chronic kidney disease,renal oncology,and hypertension worldwide.However,there remains a need to create a framework for guidance regarding how to better utilize synthetic data as a practical application in this research.

Harnessing artificial intelligence for identifying conflicts of interest in research

This editorial explores the transformative potential of artificial intelligence(AI)in identifying conflicts of interest(COIs)within academic and scientific research.By harnessing advanced data analysis,pattern recognition,and natural language processing techniques,AI offers innovative solutions for enhancing transparency and integrity in research.This editorial discusses how AI can automatically detect COIs,integrate data from various sources,and streamline reporting processes,thereby maintaining the credibility of scientific findings.

A research on the school-based curriculums development in collage public art education construction

Based on an analysis of the existing problems of collage public art education in China, the paper discussed the connotation ofXi＇ an physical education University constructing a ＂one foundation and two supplements ＂ public art education curriculums system with its own characteristics and personality, and generalized the principles and concrete measures we should pay attention to during development of school-based curriculum of public art education.

Research on School-based Curriculum Development Based on Manchu Cultural Inheritance in China

China is the country with pluralistic cultural background of 56 ethnic groups,Manchu is China’s second largest minority,the population is over 10 million.The history of Manchu can be traced back earliest to 7000 years ago,even so,there are not more than 100 Manchu people can speak the Manchu language,the inheritance and development of Manchu culture are in jeopardy.The article focused on how to educate Manchu culture to pupils in Manchu primary school,especially in Manchu schoolbased curriculum,exploring the present situation and effective ways of the development of Manchu school-based curriculum.

Developing a school-based drug prevention program to overcome barriers to effective program implementation: The CLIMATE schools: Alcohol module

Although effective school-based alcohol prevention programs do exist, the overall efficacy of these programs has been compromised by implementation failure. The CLIMATE Schools: Alcohol Module was developed to overcome some of the obstacles to high fidelity program implementation. This paper details this development of the CLIMATE Schools: Alcohol Module. The development involved two stages, both of which were considered essential. The first stage, involved reviewing the literature to ensure the program was based on the most effecttive pedagogy and health promotion practice and the second stage involved collaborating with teachers, students and specialists in the area of alcohol and other drugs, to ensure these goals were realised. The final CLIMATE Schools: Alcohol Module consists of computer-driven harm minimisation program which is based on a social influence approach. The program consists of six lessons, each with two components. The first component involves students completing an interactive computer-based program, with the second consisting of a variety of individual, small group and class-based activities. This program was developed to provide an innovative new platform for the delivery of drug education and has proven to be both feasible and effective in the school environment. The success of this program is considered to be testament to this collaborative development approach.

Evaluation of a School-Based Health Education Program for Urban Indigenous Young People in Australia

The aim of this study was to investigate the effectiveness of a school-based health promotion and education program in improving knowledge, attitudes, self-efficacy and behaviours of urban Indigenous young people regarding chronic disease and associated risk factors. A mixed methods approach was adopted for this evaluation;however, this paper will focus on the quantitative aspect of the study. The Deadly Choices? health education program was delivered weekly at six education facilities in Brisbane, Australia to participants from years seven to 12 over seven weeks. One school that received the Deadly Choices program the following term acted as the control group. Questionnaire data was collected immediately pre and post intervention to assess program impact. As self-reported by participants there were mostly significant improvements over time for questions relating to knowledge, attitudes and self-efficacy regarding leadership, chronic disease and risk factors within the intervention group. There were also significant changes within the intervention group regarding breakfast frequency (P = 0.002), physical activity frequency (P ≤ 0.001), fruit (P = 0.004) and vegetable (P ≤ 0.001) intake. Overall, there were few significant differences between the control and intervention groups regarding health attitudes and behaviours;however, there were considerably more improvements relating to self-efficacy and knowledge of chronic disease and associated risk factors between groups. The program also facilitated 30 Aboriginal and Torres Strait Islander health checks for participants. Deadly Choices is an innovative and comprehensive school-based program which has great potential to improve the health outcomes of Indigenous young people in urban areas by providing education in leadership and chronic disease prevention;engaging students in physical activity participation;and collaborating with health services to facilitate health checks.

Intervention Effects of the School-Based Health Promotion Program“Join the Healthy Boat”on Motor Abilities of Children with Migration Background

Purpose: Motor abilities of migrant children show worse performance compared with children without migration background. This study investigated whether a one-year intervention, which aimed to increase physical activity (PA), could influence the motor performance of these children positively. Methods: A sub-sample of 525 migrant children (7.1 ± 0.7 years;48.6% male), participated in the study and included an intervention (IG) and control group (CG). The Dordel-Koch-Test was used to assess motor performance. An exploratory factor analysis was performed. Differences between IG and CG were examined using ANCOVA. Results: Boys in the IG showed a significant improvement in the conditional skills (F(1, 201) = 8.02, p ≤ 0.005) and girls showed a tendency towards better results. Additionally, girls showed a significant improvement in flexibility (F(1, 226) = 10.72, p ≤ 0.01) compared with the CG. Conclusion: The intervention affects parts of motor skills of migrant children significantly. Future interventions should aim at a target-group-specific promotion to get a holistic improvement in their motor abilities.

Research funding and citations in papers of Nobel Laureates in Physics, Chemistry and Medicine, 2019-2020

Purpose:The goal of this study is a comparative analysis of the relation between funding(a main driver for scientific research)and citations in papers of Nobel Laureates in physics,chemistry and medicine over 2019-2020 and the same relation in these research fields as a whole.Design/methodology/approach:This study utilizes a power law model to explore the relationship between research funding and citations of related papers.The study here analyzes 3,539 recorded documents by Nobel Laureates in physics,chemistry and medicine and a broader dataset of 183,016 documents related to the fields of physics,medicine,and chemistry recorded in the Web of Science database.Findings:Results reveal that in chemistry and medicine,funded researches published in papers of Nobel Laureates have higher citations than unfunded studies published in articles;vice versa high citations of Nobel Laureates in physics are for unfunded studies published in papers.Instead,when overall data of publications and citations in physics,chemistry and medicine are analyzed,all papers based on funded researches show higher citations than unfunded ones.Originality/value:Results clarify the driving role of research funding for science diffusion that are systematized in general properties:a)articles concerning funded researches receive more citations than(un)funded studies published in papers of physics,chemistry and medicine sciences,generating a high Matthew effect(a higher growth of citations with the increase in the number of papers);b)research funding increases the citations of articles in fields oriented to applied research(e.g.,chemistry and medicine)more than fields oriented towards basic research(e.g.,physics).Practical implications:The results here explain some characteristics of scientific development and diffusion,highlighting the critical role of research funding in fostering citations and the expansion of scientific knowledge.This finding can support decision-making of policymakers and R&D managers to improve the effectiveness in allocating financial resources in science policies to generate a higher positive scientific and societal impact.

Break Free from Depression:Implementation and Outcomes of a School-Based Depression Awareness Program

The objective of this study was to evaluate the impact of Break Free from Depression(BFFD),a school-based depression awareness curriculum,in comparison to a wait list control group.A total of 13 eighth grade classrooms participated in either an intervention or control group and completed pre-,post-,and three-month follow-up surveys.Students participating in BFFD(N=6 classrooms,166 students)demonstrated enhanced knowledge of and more adaptive attitudes towards depression compared to the control group(N=7 classrooms,155 students).Participants in the BFFD intervention also demonstrated increases in their confidence in knowing how to seek help for depression and in their intent to seek this help if needed.Slight decreases were found at a three-month follow-up in all scales except for intent to seek help.BFFD was effective regardless of gender,ethnicity,or identification as a member of the LGBTQ community.There was a delayed effect on measured constructs for Black students with gains apparent at three-month follow-up.The findings demonstrated that BFFD had a small but significant positive impact on students’knowledge,skills,and attitudes in seeking support for themselves and for others when faced with signs of depression.The implementation of depression awareness curricula in schools hold promise in promoting student mental health,and it is important to consider factors that might have an impact on outcomes.

Glucocorticoids-based prodrug design:Current strategies and research progress

Attributing to their broad pharmacological effects encompassing anti-inflammation,antitoxin,and immunosuppression,glucocorticoids(GCs)are extensively utilized in the clinic for the treatment of diverse diseases such as lupus erythematosus,nephritis,arthritis,ulcerative colitis,asthma,keratitis,macular edema,and leukemia.However,longterm use often causes undesirable side effects,including metabolic disorders-induced Cushing's syndrome(buffalo back,full moon face,hyperglycemia,etc.),osteoporosis,aggravated infection,psychosis,glaucoma,and cataract.These notorious side effects seriously compromise patients'quality of life,especially in patients with chronic diseases.Therefore,glucocorticoid-based advanced drug delivery systems for reducing adverse effects have received extensive attention.Among them,prodrugs have the advantages of low investment,low risk,and high success rate,making them a promising strategy.In this review,we propose the strategies for the design and summarize current research progress of glucocorticoid-based prodrugs in recent decades,including polymer-based prodrugs,dendrimer-based prodrugs,antibody-drug conjugates,peptide-drug conjugates,carbohydrate-based prodrugs,aliphatic acid-based prodrugs and so on.Besides,we also raise issues that need to be focused on during the development of glucocorticoid-based prodrugs.This review is expected to be helpful for the research and development of novel GCs and prodrugs.

General laws of funding for scientific citations:how citations change in funded and unfunded research between basic and applied sciences

Purpose:The goal of this study is to analyze the relationship between funded and unfunded papers and their citations in both basic and applied sciences.Design/methodology/approach:A power law model analyzes the relationship between research funding and citations of papers using 831,337 documents recorded in the Web of Science database.Findings:The original results reveal general characteristics of the diffusion of science in research fields:a)Funded articles receive higher citations compared to unfunded papers in journals;b)Funded articles exhibit a super-linear growth in citations,surpassing the increase seen in unfunded articles.This finding reveals a higher diffusion of scientific knowledge in funded articles.Moreover,c)funded articles in both basic and applied sciences demonstrate a similar expected change in citations,equivalent to about 1.23%,when the number of funded papers increases by 1%in journals.This result suggests,for the first time,that funding effect of scientific research is an invariant driver,irrespective of the nature of the basic or applied sciences.Originality/value:This evidence suggests empirical laws of funding for scientific citations that explain the importance of robust funding mechanisms for achieving impactful research outcomes in science and society.These findings here also highlight that funding for scientific research is a critical driving force in supporting citations and the dissemination of scientific knowledge in recorded documents in both basic and applied sciences.Practical implications:This comprehensive result provides a holistic view of the relationship between funding and citation performance in science to guide policymakers and R&D managers with science policies by directing funding to research in promoting the scientific development and higher diffusion of results for the progress of human society.

School-based physical activity interventions for children and youth:Keys for success

Given the rising trend in obesity in children and youth and age-related decline in moderate-to-vigorous-intensity physical activity(MVPA)in several Western,African,and Asian-Pacific countries^1 and strong evidence that past physical activity(PA)interventions have had only a small effect on children’s and youth’s overall activity levels,~2it is important to clarify whether school-based PA interventions warrant resource allocation.Schools represent an accessible and cost-effective

Evaluation of a Nutrition Intervention through a School-Based Food Garden to Improve Dietary Consumption, Habits and Practices in Children from the Third to Fifth Grade in Chile

Objective: Use a school-based food garden as an instrument to improve healthy dietary consumption, habits, and practices among children from the third to fifth grade in public schools in Chile. Design: Quasi-experimental, six-month intervention with an evaluation of dietary consumption, habits, and practices and use of the school-based food garden among the 3rd to 5th grade students. Setting: Two municipal schools in a low-middle income district in Santiago de Chile;one with a school garden intervention and a control school without a garden. Subjects: 155 third to fifth grade children, 63 in the intervention school and 92 in the control school (average age 10 years old, 58% boys). Results: In the intervened school, there was a significant improvement in the children’s dietary habits, such as peeling and slicing fruit (p < 0.05), making sandwiches (p < 0.05), and increased motivation to cook (p < 0.05). Fruit purchases at the school rose from 4% to 37% (p < 0.05) by the end of the intervention. Interest in growing vegetables or fruits at home increased from 48% to 70% (p < 0.05). The school children at the intervention school significantly increased their knowledge about 16 of 21 garden crops (p < 0.05), expanding the spectrum of the vegetables they can consume. There were no significant changes in the control school. Conclusions: The school-based food garden was effective in achieving change in dietary habits and practices among the third to fifth grade children. The project should be carried out for a longer period of time, so that the changes will be reflected in the students’ food consumption and nutritional status.

Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis

BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.

Research Progress and Prospects of Total Factor Productivity in the Construction Industry

The high-quality development of the construction industry fundamentally stems from the significant improvement of total factor productivity.Therefore,it is of crucial significance for promoting the development of the construction industry to a higher level by scientifically and accurately measuring the total factor productivity of the construction industry and deeply analyzing the influencing factors behind it.Based on a comprehensive consideration of research methods and influencing factors,this paper systematically reviews the existing relevant literature on total factor productivity in the construction industry,aiming to reveal the current research development trend in this field and point out potential problems.This effort aims to provide a solid theoretical foundation and valuable reference for further in-depth research,and jointly promote the continuous progress and development of total factor productivity research in the construction industry.

Recent Ventures in Interdisciplinary Arctic Research:The ARCPATH Project

This paper celebrates Professor Yongqi GAO's significant achievement in the field of interdisciplinary studies within the context of his final research project Arctic Climate Predictions: Pathways to Resilient Sustainable Societies-ARCPATH(https://www.svs.is/en/projects/finished-projects/arcpath). The disciplines represented in the project are related to climatology, anthropology, marine biology, economics, and the broad spectrum of social-ecological studies. Team members were drawn from the Nordic countries, Russia, China, the United States, and Canada. The project was transdisciplinary as well as interdisciplinary as it included collaboration with local knowledge holders. ARCPATH made significant contributions to Arctic research through an improved understanding of the mechanisms that drive climate variability in the Arctic. In tandem with this research, a combination of historical investigations and social, economic, and marine biological fieldwork was carried out for the project study areas of Iceland, Greenland, Norway, and the surrounding seas, with a focus on the joint use of ocean and sea-ice data as well as social-ecological drivers. ARCPATH was able to provide an improved framework for predicting the near-term variation of Arctic climate on spatial scales relevant to society, as well as evaluating possible related changes in socioeconomic realms. In summary, through the integration of information from several different disciplines and research approaches, ARCPATH served to create new and valuable knowledge on crucial issues, thus providing new pathways to action for Arctic communities.

关于现阶段我国英文期刊办刊模式的思考——以Research等期刊为例

近年来,国内兴起了创办英文科技期刊热潮。本文以此为视角,分析了我国创办英文期刊现状及问题。通过查阅文献和新闻报道,以中国科协和美国科学促进会合作共同创办的英文期刊Research等近年来国内创办的高水平英文新刊为例,详细分析了案例从创刊到快速发展成为高影响力科技期刊的路径,主要包括选择办刊人才、明确办刊定位、组建编委会、邀约优质稿源、加大媒体宣传等,以期为正在筹备创办新刊的同行提供借鉴,也为相关部门决策提供建议参考。

Can ChatGPT evaluate research quality?

Purpose:Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task.Design/methodology/approach:Test the extent to which ChatGPT-4 can assess the quality of journal articles using a case study of the published scoring guidelines of the UK Research Excellence Framework(REF)2021 to create a research evaluation ChatGPT.This was applied to 51 of my own articles and compared against my own quality judgements.Findings:ChatGPT-4 can produce plausible document summaries and quality evaluation rationales that match the REF criteria.Its overall scores have weak correlations with my self-evaluation scores of the same documents(averaging r=0.281 over 15 iterations,with 8 being statistically significantly different from 0).In contrast,the average scores from the 15 iterations produced a statistically significant positive correlation of 0.509.Thus,averaging scores from multiple ChatGPT-4 rounds seems more effective than individual scores.The positive correlation may be due to ChatGPT being able to extract the author’s significance,rigour,and originality claims from inside each paper.If my weakest articles are removed,then the correlation with average scores(r=0.200)falls below statistical significance,suggesting that ChatGPT struggles to make fine-grained evaluations.Research limitations:The data is self-evaluations of a convenience sample of articles from one academic in one field.Practical implications:Overall,ChatGPT does not yet seem to be accurate enough to be trusted for any formal or informal research quality evaluation tasks.Research evaluators,including journal editors,should therefore take steps to control its use.Originality/value:This is the first published attempt at post-publication expert review accuracy testing for ChatGPT.

Citation distributions and research evaluations:The impossibility of formulating a universal indicator

Purpose:To analyze the diversity of citation distributions to publications in different research topics to investigate the accuracy of size-independent,rank-based indicators.The top percentile-based indicators are the most common indicators of this type,and the evaluations of Japan are the most evident misjudgments.Design/methodology/approach:The distributions of citations to publications from countries and journals in several research topics were analyzed along with the corresponding global publications using histograms with logarithmic binning,double rank plots,and normal probability plots of log-transformed numbers of citations.Findings:Size-independent,top percentile-based indicators are accurate when the global ranks of local publications fit a power law,but deviations in the least cited papers are frequent in countries and occur in all journals with high impact factors.In these cases,a single indicator is misleading.Comparisons of the proportions of uncited papers are the best way to predict these deviations.Research limitations:This study is fundamentally analytical,and its results describe mathematical facts that are self-evident.Practical implications:Respectable institutions,such as the OECD,the European Commission,and the U.S.National Science Board,produce research country rankings and individual evaluations using size-independent percentile indicators that are misleading in many countries.These misleading evaluations should be discontinued because they can cause confusion among research policymakers and lead to incorrect research policies.Originality/value:Studies linking the lower tail of citation distribution,including uncited papers,to percentile research indicators have not been performed previously.The present results demonstrate that studies of this type are necessary to find reliable procedures for research assessments.