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.

加拿大“Co-operative Education”教育模式研究

通过分析加拿大百年理工学院的"Co-operative Education"实习教育模式,了解了"CO-OP"项目的具体运作方式。加拿大高职实习教育重视政府职能的参与,强调学校、企业和学生的三方合作,通过"COOP"项目实现三方共赢,其模式值得我们借鉴。

滑铁卢大学Co-Operative教育计划概况与启示

在本科毕业生就业日趋严峻的形势下,工作经验成为困惑毕业生求职和用人单位纳才的一个突出问题。如何完善高等教育模式,使大学生的课堂教学和工作经验有机结合是所有高等教育工作者需要思考的一个问题。加拿大滑铁卢大学先进办学理念中的Co-Operative教育计划,将课堂教学和实际工作结合在一起,对我国高校实践教学改革具有借鉴意义。

Applying the Teaching Strategy of Co-operative Learning to ELT

This article focuses on a brief introduction of the teaching strategies of Co-operative Learning(CL). Some of the strategies are chosen to make certain changes in ELT field. It is proved that the Teaching Strategy of CL can be applied in ELT, which makes the classroom teaching more efficient and arose learners’ interests. The Teaching Strategy of CL can help students improve their ability of learning and problem solving. It is a new breakthrough to the traditional teaching model.

Exploration of New Financing Mode of Farmers' Co-operatives——A Case of Guangxi Zhuang Autonomous Region,China

Based on the overview of the role played by farmers' co-operatives in developing rural economy and existing problems,the thesis has introduced the factors which influence the development of farmers' co-operatives including five aspects,namely conditions of scale economy,popularization and application of agricultural production technology,comparative advantage,market expectancy and government support.By analyzing typical cases of three co-operatives in Guangxi(Heng County Dadi Growing Co-operatives,talents-leading share-holding co-operatives;Long'an County Guixiniu Co-operatives,co-operatives led by leading-enterprise;Nanning City Tanluo Town Jinguang Fruits and Potatoes Co-operatives,co-operatives led by leading-enterprise),the way to develop farmers' co-operatives by dint of the external capital has been discussed.The results demonstrate that conditions of scale economy,popularization and application of agricultural production technology,comparative advantage,excellent market expectancy and government support,are conducive to absorbing external capital.Under China's existing economic conditions,the government should normalize the use and allocation procedure of program fund.

Employing Two ‘Sandwich Delay’ Mechanisms to Enhance Predictability of Embedded Systems Which Use Time-Triggered Co-Operative Architectures

In many real-time resource-constrained embedded systems, highly-predictable system behavior is a key design requirement. The “time-triggered co-operative” (TTC) scheduling algorithm provides a good match for a wide range of low-cost embedded applications. As a consequence of the resource, timing, and power constraints, the implementation of such algorithm is often far from trivial. Thus, basic implementation of TTC algorithm can result in excessive levels of task jitter which may jeopardize the predictability of many time-critical applications using this algorithm. This paper discusses the main sources of jitter in earlier TTC implementations and develops two alternative implementations – based on the employment of “sandwich delay” (SD) mechanisms – to reduce task jitter in TTC system significantly. In addition to jitter levels at task release times, we also assess the CPU, memory and power requirements involved in practical implementations of the proposed schedulers. The paper concludes that the TTC scheduler implementation using “multiple timer interrupt” (MTI) technique achieves better performance in terms of timing behavior and resource utilization as opposed to the other implementation which is based on a simple SD mechanism. Use of MTI technique is also found to provide a simple solution to “task overrun” problem which may degrade the performance of many TTC systems.

The Study of Chatting Program in Terms of Co-operative Principle

Nowadays,chatting programs have become very popular among TV audience,because they are well integrated with information,entertainment and leisure.They can bring a lot of laughter as well as elicitation to the audience.However,with the sharp increase of chatting programs on television,some programs which are not well designed emerge at an amazing rate.Our au dience always have a bad feeling to these programs and even mislead by them.My paper analyzes some chatting programs from the perspective of Grice's co-operative principles,and gives some suggestion for how to make chatting program go more smoothly.

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.

Comparative study on membership legislation in Canadian and Chinese agricultural co-operative laws

For centuries, groups of people desiring to supply themselves with goods, to market their products, or to obtain services of various kinds on a co-operative basis, have made increasing use of co-operative associations to achieve these purposes. Duringthe period, legislation designed especially for the incorporation and conduct of such associations has been enacted by different counties. Since a co-operative is established and carried on by and for the use of its members, this essay makes a comparison between Canadian and Chinese co-operative laws in terms of membership in the aspects of qualifications, rights and obligations and withdrawal of membership, so as to probe the function of co-operative legislation and find some enlightment from it.

Time-Optimal Control Problem for <i>n</i>×<i>n</i>Co-Operative Parabolic Systems with Control in Initial Conditions

In this paper, time-optimal control problem for a liner n× n co-operative parabolic system involving Laplace operator is considered. This problem is, steering an initial state y(0)=u?, with control u?so that an observation y(t) hitting a given target set in minimum time. First, the existence and uniqueness of solutions of such system under conditions on the coefficients are proved. Afterwards necessary and sufficient conditions of optimality are obtained. Finally a scaler case is given.

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.

Constraints Hindering the Adoption of Scientific Dairy Farming Practices by Members and Non-members of Dairy Co-operative Societies （DCS）/Milk Producer Institutions （MPI）

The present study was conducted in four districts of Telangana State of India with 120 respondents in which 60 were members and other 60 were non-members of DCSs （Dairy Co-operative Societies）/MPIs （Milk Producer Institutions）. Constraints perceived in dairy farming and suggestions elicited by members and non-members were noted, tabulated and analyzed. The major constraints perceived by half or more than half of members were scarcity of water （91.67%）, lack of green fodder （88.33%）, preferring NS （natural service） than AI （Artificial Insemination） （83.33%）, negligence in feeding pregnant and dry animals （81.37%）, insufficient loan amount （78.33%）, tendency to feed only grass and brans （71.67%）, lack of availability of sufficient labour （70.00%）, lack of remunerative price for milk （66.67%）, high cost of feed （61.67%）, lack of fodder conservation （55.00%） and high cost of animals （50.00%）. Whereas major constraints perceived by non-members were scarcity of water （96.67%）, lack of green fodder （93.33%）, preferring NS than AI （88.33%）, lack of availability of sufficient labour （85.00%）, negligence in feeding pregnant and dry animals （83.33%）, tendency to feed only grass and brans （78.33%）, high cost of animals （75.00%）, complex procedure for obtaining loans （71.67%） and high cost of feed （66.67%）. Suggestions elicited by members majorly were providing subsidy for purchase of animals/providing loans on par with the cost of animal （81.67%）, enhancing the procurement price （70.00%）, providing more incentives （60.00%）, encouraging calf rearing （58.33%） and conducting frequent animal health camps （50.00%）. In case of non-members major suggestions elicited were conducting frequent animal health camps （68.33%） and providing subsidy on purchase of animals/providing loans on par with the cost of animal （58.33%）. Considering the above constraints perceived and suggestions elicited by dairy farmers a proper linkage strategy should be developed among private and public sectors in providing need based services to the dairy farmers.

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.

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.

Cooperation Between Co-operative Business Organization and Investor Owned Firm to Stimulate Economic Growth of a Country： A Cooperative Advantage Approach

This study elaborates that the economic growth of a country depending on not only the business performance of the investor owned firms （IOFs）, but also the business surplus of the cooperative organizations （Co-ops）. The policy maker should have the level of understanding and competence to blend five different factors related to organizational structure and business model of the Co-ops and the IOFs to the five similarities factors on the managerial approach of them into one marked. The study investigated five similarities factors and included into a conceptual structural model with its six measurement models, economic growth model, general national factor model, market and industry factors model, Co-ops/IOFs opportunities/threat model, Co-ops/IOFs strength /weakness model, and lastly the Co-ops/IOFs firm dynamic/active： sales, profit, and lost model. Reliability of the six similarities measurement models was tested by the Delphi technique with a sample of 33 respondents. The study found that, apart from the six measurement models, it also has two intervening factor variables that will reduce the power and magnitude of the economic growth which will come from mismanagement of policy maker： These factors are the different in intemational culture among countries, and the global warming and natural disaster from the excess consumption and excess production. These selfish, competition and economic greedy of people will lead to economic, social, and natural disaster problems. To reduce the socioeconomic disadvantages and global disaster, board＇s committee, and Co-ops manager as well as chief executive officer （CEO） of the IOFs must have a good understanding on these five similarities factors. Appropriate management of these five similarities factors will lead the firms to reach their high managerial efficiency, customer value, firm value, and finally economic growth.

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.

Application Procedures——for Establishing Chinese-foreign Joint(Co-operative)Ventures or Foreign-funded Enterprises in Sichuan Province

1. On Chinese-foreign joint (co-operative) ventures(1) The conclusion of the letter ofintent on joint investment (co-operation) bythe Chinese and foreign parties.(2) New construction projects shall besubmitted to the provincial PlanningCommission for ratification; technicalinnovation projects shall be submitted to theProvincial Economic Commission forratification.(3) The contracting parties shall register thename of the joint venture with the provincialAdministration for Industry and Commerce.

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.