This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown cova...This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown covariance matrix is addressed by focusing on the output data set of the system.Considering that data generated from a Gaussian distribution exhibit ellipsoidal scattering,we first propose the weighted sum of norms(SON)clustering method that prioritizes nearby points,reduces distant point influence,and lowers computational cost.Then,by introducing the weighted maximum likelihood,we propose a semi-definite program(SDP)to detect outliers and reduce their impacts on each cluster.Detecting these weights paves the way to obtain an appropriate covariance of the output noise.Next,two filtering approaches are presented:a cluster-based robust linear filter using the maximum a posterior(MAP)estimation and a clusterbased robust nonlinear filter assuming that output noise distribution stems from some Gaussian noise resources according to the ellipsoidal clusters.At last,simulation results demonstrate the effectiveness of our proposed filtering approaches.展开更多
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 intelligen...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.展开更多
Background: In response to the limitations of logical empiricism, interpretivism emerged as a philosophical approach for developing nursing knowledge. This paper discusses interpretivist constructivism and its value t...Background: In response to the limitations of logical empiricism, interpretivism emerged as a philosophical approach for developing nursing knowledge. This paper discusses interpretivist constructivism and its value to qualitative nursing research. Methods: The paper synthesizes relevant literature on the importance of interpretivist constructivism in nursing research. It reviews the key elements of interpretivism, the principles of constructivism, the connection between the two approaches, the benefits and limitations of constructivism in nursing research, and the steps for conducting constructivist stroke nursing research. Results: Interpretivist constructivism emphasizes the importance of human experiences, interactions, and social contexts in knowledge development. It allows nurse researchers to adopt flexible, participant-driven approaches to explore and understand complex subjective human phenomena. This approach respects the unique perspectives and contexts of stakeholders, including patients, caregivers, healthcare professionals, and knowledge users. By following specific steps, constructivist researchers can improve the rigor, transparency, and validity of qualitative nursing research while reducing biases in interpreting the inherently subjective experiences of patients. Conclusion: A deeper understanding of the complexities of interpretivism and constructivism in qualitative research is essential. This paper provides a clear, comprehensive guide for effectively applying these approaches in qualitative nursing research.展开更多
Purpose:We aimed to measure the variation in researchers’knowledge and attitudes towards bibliometric indicators.The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.Design...Purpose:We aimed to measure the variation in researchers’knowledge and attitudes towards bibliometric indicators.The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.Design/methodology/approach:An exploratory survey is administered to researchers at the Sapienza University of Rome,one of Europe’s oldest and largest generalist universities.To measure metric-wiseness,we use attitude statements that are evaluated by a 5-point Likert scale.Moreover,we analyze documents of recent initiatives on assessment reform to shed light on how researchers’heterogeneous attitudes regarding and knowledge of bibliometric indicators are taken into account.Findings:We found great heterogeneity in researchers’metric-wiseness across scientific disciplines.In addition,within each discipline,we observed both supporters and critics of bibliometric indicators.From the document analysis,we found no reference to individual heterogeneity concerning researchers’metric wiseness.Research limitations:We used a self-selected sample of researchers from one Italian university as an exploratory case.Further research is needed to check the generalizability of our findings.Practical implications:To gain sufficient support for research evaluation practices,it is key to consider researchers’diverse attitudes towards indicators.Originality/value:We contribute to the current debate on reforming research assessment by providing a novel empirical measurement of researchers’knowledge and attitudes towards bibliometric indicators and discussing the importance of the obtained results for improving current research evaluation systems.展开更多
Reproducibility is a key aspect of the scientific method as it provides evidence for research claims. It is essential to promote openness, accessibility, and collaboration within the scientific community. This article...Reproducibility is a key aspect of the scientific method as it provides evidence for research claims. It is essential to promote openness, accessibility, and collaboration within the scientific community. This article aims to provide an introduction to best practices in reproducibility that are relevant to the transportation research community, to discuss issues and barriers to reproducibility, and to describe methods for addressing these issues. This article starts by discussing openness and transparency, then discusses several key best practices for reproducibility in transportation engineering, highlighting common methods and techniques, as well as the associated benefits. The paper concludes with a discussion of the key barriers to implementing reproducibility practices in transportation research and potential solutions. The barriers include existing culture and attitudes, data sensitivity, insufficient methodological detail, lack of code sharing, limited validation, additional time and research burden, and skill and knowledge gaps. Discussing each of these items provides an opportunity for the transportation research community to evolve to become one that embraces the openness and transparency of reproducibility.展开更多
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...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.展开更多
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 recogni...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.展开更多
This article focuses on the factors influencing fracture nonunion, classification and treatment. The article emphasizes the importance of understanding the influencing factors and mechanisms of fracture healing for de...This article focuses on the factors influencing fracture nonunion, classification and treatment. The article emphasizes the importance of understanding the influencing factors and mechanisms of fracture healing for developing effective treatment strategies and improving patients’ quality of life. It also points out the challenges of current treatment, such as patient compliance and limitations of treatment methods, and looks at future treatment directions.展开更多
Think-aloud protocols have drawn much attention over the past two decades.Given the expanse of the relevant literature,we narrow our focus on core papers on the application of this research method to EFL education res...Think-aloud protocols have drawn much attention over the past two decades.Given the expanse of the relevant literature,we narrow our focus on core papers on the application of this research method to EFL education research in China in the past 25 years,aiming to summarize the achievements of its application to EFL education rescarch and discover the problems in the current rescarch.In this systematic review,a total of 53 articles are retrieved.Adopting the methodologial synthesis,we analyze the artidles from the perspectives of the research trend,research arcas,rescarch design,data collection,data analysis,and presentation of results.It is found that the overall number of studies using think-aloud in EFL education is insufficient.The research using think aloud in EFL writing accounts for the highest proportion,while few studies on EFL listening and speaking via this research method are conducted.Tertiary-level students are the most popular participants in the studies using think aloud protocols.In addition,the descriptions of the data collection and data analysis processes are insuficient.Based on these findings,implications for teachers,curriculum designers,and researchers in EFL education are further discussed.展开更多
In the post-college era,university research organizations are facing unprecedented changes in their structure and operational models.In terms of organizational form,these institutions are transitioning from single-dis...In the post-college era,university research organizations are facing unprecedented changes in their structure and operational models.In terms of organizational form,these institutions are transitioning from single-disciplinebased models to interdisciplinary and multidisciplinary collaboration models.This shift reflects the growing need to address complex,real-world problems that require expertise from multiple fields.From a management perspective,interdisciplinary research organizations face unique challenges.They must coordinate researchers from diverse disciplinary backgrounds,navigate potential conflicts between traditional departments and interdisciplinary units,and address differences in goals and organizational culture among members.These complexities make management more intricate and demanding.Simultaneously,the focus of university research organizations has become increasingly interest-driven,with research objectives,content,and participants reflecting specific areas of interest or societal demand.To adapt to these evolving trends,university research organizations must adopt flexible models tailored to their unique development needs.This approach will ensure the efficient execution of research activities and facilitate the effective transformation of research outcomes into practical applications.展开更多
Baosteel Technical Research,a quarterly journal,which is issued domestically and abroad,is run and sponsored by Baoshan Iron & Steel Co.,Ltd.. Baosteel Technical Research mainly reports the achievements in technol...Baosteel Technical Research,a quarterly journal,which is issued domestically and abroad,is run and sponsored by Baoshan Iron & Steel Co.,Ltd.. Baosteel Technical Research mainly reports the achievements in technological innovation,academic research,new product development and industrial equipment improvement by Baosteel. It will continue to follow up on hot topics and serve the company's technological development and progress. Its readers include experts in steel metallurgy and related fields,technicians,management staff,professors and students in universities and colleges.展开更多
Objective:Based on the CNKI database,this study analyzes the current research status and hotspots of the Timing it Right(TIR)Theory in China,providing insights and references for its further development in the field o...Objective:Based on the CNKI database,this study analyzes the current research status and hotspots of the Timing it Right(TIR)Theory in China,providing insights and references for its further development in the field of nursing.Methods:Using bibliometric methods and Citespace software,this study conducts a statistical and visual analysis of publications on TIR Theory from CNKI,focusing on annual publication volumes,author collaboration networks,high-frequency keywords,and emergent terms.Results:The study statistically analyzed the time distribution and research hotspots of 117 relevant papers.The annual publication volume shows a gradual upward trend,though the overall volume remains low.High-frequency keywords such as“family nursing,”“quality of life,”“acute myocardial infarction,”and“stroke”form the core research themes.Conclusion:Research on TIR Theory in China’s nursing field is still in the exploratory stage,and its attention and emphasis need to be enhanced.As it aligns with modern medical models,its application scope in nursing is expanding,promoting the high-quality,scientific,and diversified development of nursing services in China.展开更多
High-power laser technology is widely used in manufacturing processing,medical diagnosis,and treatment,and is one of the important fields of strategic high-tech competition in China at the moment.In the context of ind...High-power laser technology is widely used in manufacturing processing,medical diagnosis,and treatment,and is one of the important fields of strategic high-tech competition in China at the moment.In the context of industrial upgrading,high-power laser technology plays an important role in leading the development of the manufacturing industry and industrial intelligence.Based on this,this paper carries out research on high-power laser technology and industry,summarizes the basic principle and classification of high-power laser technology,analyzes the current status of high-power laser technology industry,points out the opportunities and challenges faced by the industry development,puts forward suggestions to promote the development of high-power laser technology industry,and to provide an effective reference for the application and development of high-power laser technology.展开更多
Delirium is a transient and acute syndrome of encephalopathy,characterized by disturbances in consciousness,orientation,cognition,perception,and emotional regulation,often accompanied by hallucinations,illusions,psych...Delirium is a transient and acute syndrome of encephalopathy,characterized by disturbances in consciousness,orientation,cognition,perception,and emotional regulation,often accompanied by hallucinations,illusions,psychomotor agitation,and restlessness.Postoperative delirium(POD),a common complication particularly in elderly patients,significantly impacts recovery by prolonging mechanical ventilation,neurosurgical intensive care unit stays,and overall hospitalization durations,while severely diminishing patients’quality of life after discharge.Despite its prevalence,POD remains underrecognized in clinical practice,with significant gaps in its diagnosis and management.This review explores the definition,diagnostic criteria,underlying pathogenesis,and associated risk factors of POD in neurosurgical patients,aiming to offer valuable insights for improving clinical diagnosis and therapeutic strategies.展开更多
This paper makes an in-depth study of the status quo and trend of the development of the big health industry under the background of digitalization,aiming to explore ways to promote the transformation,upgrading and su...This paper makes an in-depth study of the status quo and trend of the development of the big health industry under the background of digitalization,aiming to explore ways to promote the transformation,upgrading and sustainable development of the big health industry through technological innovation and policy guidance,and provide valuable references for the government,enterprises and universities and other stakeholders to promote the high-quality development of the big health industry in the digital era.展开更多
Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether ...Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether Large Language Models(LLMs)can play a role in this process.Design/methodology/approach:This article assesses which ChatGPT inputs(full text without tables,figures,and references;title and abstract;title only)produce better quality score estimates,and the extent to which scores are affected by ChatGPT models and system prompts.Findings:The optimal input is the article title and abstract,with average ChatGPT scores based on these(30 iterations on a dataset of 51 papers)correlating at 0.67 with human scores,the highest ever reported.ChatGPT 4o is slightly better than 3.5-turbo(0.66),and 4o-mini(0.66).Research limitations:The data is a convenience sample of the work of a single author,it only includes one field,and the scores are self-evaluations.Practical implications:The results suggest that article full texts might confuse LLM research quality evaluations,even though complex system instructions for the task are more effective than simple ones.Thus,whilst abstracts contain insufficient information for a thorough assessment of rigour,they may contain strong pointers about originality and significance.Finally,linear regression can be used to convert the model scores into the human scale scores,which is 31%more accurate than guessing.Originality/value:This is the first systematic comparison of the impact of different prompts,parameters and inputs for ChatGPT research quality evaluations.展开更多
Dairy wastewater,a kind of high concentration organic wastewater,is produced in large quantities and difficult to treat,and has a negative impact on the ecological environment.In this study,the source,composition,wate...Dairy wastewater,a kind of high concentration organic wastewater,is produced in large quantities and difficult to treat,and has a negative impact on the ecological environment.In this study,the source,composition,water quality characteristics of dairy wastewater and its impact on the ecological environment were analyzed,and the treatment methods of dairy wastewater at home and abroad in recent years were summarized,in order to provide a reference for the treatment of dairy wastewater.展开更多
Purpose:This study investigates whether publication-centric incentive systems,introduced through the National Scientific Accreditation(ASN:Abilitazione Scientifica Nazionale)for professorships in Italy in 2012,contrib...Purpose:This study investigates whether publication-centric incentive systems,introduced through the National Scientific Accreditation(ASN:Abilitazione Scientifica Nazionale)for professorships in Italy in 2012,contribute to adopting“salami publishing”strategies among Italian academics.Design/methodology/approach:A longitudinal bibliometric analysis was conducted on the publication records of over 25,000 Italian science professors to examine changes in publication output and the originality of their work following the implementation of the ASN.Findings:The analysis revealed a significant increase in publication output after the ASN’s introduction,along with a concurrent decline in the originality of publications.However,no evidence was found linking these trends to increased salami slicing practices among the observed researchers.Research limitations:Given the size of our observation field,we propose an innovative indirect approach based on the degree of originality of publications’bibliographies.We know that bibliographic coupling cannot capture salami publications per se,but only topically-related records.On the other hand,controlling for the author’s specialization level in the period,we believe that a higher level of bibliographic coupling in his scientific output can signal a change in his strategy of disseminating the results of his research.The relatively low R-squared values in our models(0.3-0.4)reflect the complexity of the phenomenon under investigation,revealing the presence of unmeasured factors influencing the outcomes,and future research should explore additional variables or alternative models that might account for a greater proportion of the variability.Despite this limitation,the significant predictors identified in our analysis provide valuable insights into the key factors driving the observed outcomes.Practical implications:The results of the study support those who argue that quantitative research assessment frameworks have had very positive effects and should not be dismissed,contrary to the claims of those evoking the occurrence of side effects that do not appear in the empirical analyses.Originality/value:This study provides empirical evidence on the impact of the ASN on publication behaviors in a huge micro-level dataset,contributing to the broader discourse on the effects of quantitative research assessments on academic publishing practices.展开更多
As a response to the complexity of modern health care,nursing education is undergoing significant transformation.This paper aims to explore changing dynamics in nursing education,highlighting trends,challenges,and the...As a response to the complexity of modern health care,nursing education is undergoing significant transformation.This paper aims to explore changing dynamics in nursing education,highlighting trends,challenges,and the potential of Design-Based Research(DBR)as a methodological approach for curricular enhancement.This study employed a qualitative synthesis methodology was utilised,employing a systematic literature analysis of peer-reviewed articles published from 2019 to 2023.Relevant studies were searched in primary databases such as PubMed,Scopus,and Google Scholar,using specific keywords pertaining to nursing education,innovative pedagogical approaches,and DBR.The review revealed significant trends in nursing education including empathy and resilience,cultural competence,technology,interprofessional education,as well as competency-based approaches.Major challenges included teacher shortages,limited clinical placements,technological adaptability,and student mental health issues.DBR became an approach to address these challenges and offers an iterative model for curriculum development and educational innovation.DBR is a systematic and collaborative way to improve nursing education.Despite the barriers to implementation,DBR can lead to a more applicable curriculum based on real-world healthcare needs and create a nimbler educational process to prepare nursing graduates for working in complex healthcare environments.展开更多
With the development of modern society,people put forward higher requirements for building safety,which makes the construction project face new challenges.Reinforced concrete frame structure as a common engineering ty...With the development of modern society,people put forward higher requirements for building safety,which makes the construction project face new challenges.Reinforced concrete frame structure as a common engineering type,although the construction technology has been relatively mature,but its earthquake collapse ability still needs to be strengthened.This paper analyzes the specific factors that affect the seismic collapse ability of reinforced concrete frame structure,summarizes the previous research results,and puts forward innovative application of fiber-reinforced polymer(FRP)composite materials,play the role of smart materials,improve the isolation and energy dissipation devices,etc.,to promote the continuous optimization of reinforced concrete frame structure design,and show better seismic performance.展开更多
文摘This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown covariance matrix is addressed by focusing on the output data set of the system.Considering that data generated from a Gaussian distribution exhibit ellipsoidal scattering,we first propose the weighted sum of norms(SON)clustering method that prioritizes nearby points,reduces distant point influence,and lowers computational cost.Then,by introducing the weighted maximum likelihood,we propose a semi-definite program(SDP)to detect outliers and reduce their impacts on each cluster.Detecting these weights paves the way to obtain an appropriate covariance of the output noise.Next,two filtering approaches are presented:a cluster-based robust linear filter using the maximum a posterior(MAP)estimation and a clusterbased robust nonlinear filter assuming that output noise distribution stems from some Gaussian noise resources according to the ellipsoidal clusters.At last,simulation results demonstrate the effectiveness of our proposed filtering approaches.
文摘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.
文摘Background: In response to the limitations of logical empiricism, interpretivism emerged as a philosophical approach for developing nursing knowledge. This paper discusses interpretivist constructivism and its value to qualitative nursing research. Methods: The paper synthesizes relevant literature on the importance of interpretivist constructivism in nursing research. It reviews the key elements of interpretivism, the principles of constructivism, the connection between the two approaches, the benefits and limitations of constructivism in nursing research, and the steps for conducting constructivist stroke nursing research. Results: Interpretivist constructivism emphasizes the importance of human experiences, interactions, and social contexts in knowledge development. It allows nurse researchers to adopt flexible, participant-driven approaches to explore and understand complex subjective human phenomena. This approach respects the unique perspectives and contexts of stakeholders, including patients, caregivers, healthcare professionals, and knowledge users. By following specific steps, constructivist researchers can improve the rigor, transparency, and validity of qualitative nursing research while reducing biases in interpreting the inherently subjective experiences of patients. Conclusion: A deeper understanding of the complexities of interpretivism and constructivism in qualitative research is essential. This paper provides a clear, comprehensive guide for effectively applying these approaches in qualitative nursing research.
基金supported by the Sapienza Universitàdi Roma Sapienza Awards no.6H15XNFS.
文摘Purpose:We aimed to measure the variation in researchers’knowledge and attitudes towards bibliometric indicators.The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.Design/methodology/approach:An exploratory survey is administered to researchers at the Sapienza University of Rome,one of Europe’s oldest and largest generalist universities.To measure metric-wiseness,we use attitude statements that are evaluated by a 5-point Likert scale.Moreover,we analyze documents of recent initiatives on assessment reform to shed light on how researchers’heterogeneous attitudes regarding and knowledge of bibliometric indicators are taken into account.Findings:We found great heterogeneity in researchers’metric-wiseness across scientific disciplines.In addition,within each discipline,we observed both supporters and critics of bibliometric indicators.From the document analysis,we found no reference to individual heterogeneity concerning researchers’metric wiseness.Research limitations:We used a self-selected sample of researchers from one Italian university as an exploratory case.Further research is needed to check the generalizability of our findings.Practical implications:To gain sufficient support for research evaluation practices,it is key to consider researchers’diverse attitudes towards indicators.Originality/value:We contribute to the current debate on reforming research assessment by providing a novel empirical measurement of researchers’knowledge and attitudes towards bibliometric indicators and discussing the importance of the obtained results for improving current research evaluation systems.
文摘Reproducibility is a key aspect of the scientific method as it provides evidence for research claims. It is essential to promote openness, accessibility, and collaboration within the scientific community. This article aims to provide an introduction to best practices in reproducibility that are relevant to the transportation research community, to discuss issues and barriers to reproducibility, and to describe methods for addressing these issues. This article starts by discussing openness and transparency, then discusses several key best practices for reproducibility in transportation engineering, highlighting common methods and techniques, as well as the associated benefits. The paper concludes with a discussion of the key barriers to implementing reproducibility practices in transportation research and potential solutions. The barriers include existing culture and attitudes, data sensitivity, insufficient methodological detail, lack of code sharing, limited validation, additional time and research burden, and skill and knowledge gaps. Discussing each of these items provides an opportunity for the transportation research community to evolve to become one that embraces the openness and transparency of reproducibility.
文摘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.
文摘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.
文摘This article focuses on the factors influencing fracture nonunion, classification and treatment. The article emphasizes the importance of understanding the influencing factors and mechanisms of fracture healing for developing effective treatment strategies and improving patients’ quality of life. It also points out the challenges of current treatment, such as patient compliance and limitations of treatment methods, and looks at future treatment directions.
文摘Think-aloud protocols have drawn much attention over the past two decades.Given the expanse of the relevant literature,we narrow our focus on core papers on the application of this research method to EFL education research in China in the past 25 years,aiming to summarize the achievements of its application to EFL education rescarch and discover the problems in the current rescarch.In this systematic review,a total of 53 articles are retrieved.Adopting the methodologial synthesis,we analyze the artidles from the perspectives of the research trend,research arcas,rescarch design,data collection,data analysis,and presentation of results.It is found that the overall number of studies using think-aloud in EFL education is insufficient.The research using think aloud in EFL writing accounts for the highest proportion,while few studies on EFL listening and speaking via this research method are conducted.Tertiary-level students are the most popular participants in the studies using think aloud protocols.In addition,the descriptions of the data collection and data analysis processes are insuficient.Based on these findings,implications for teachers,curriculum designers,and researchers in EFL education are further discussed.
文摘In the post-college era,university research organizations are facing unprecedented changes in their structure and operational models.In terms of organizational form,these institutions are transitioning from single-disciplinebased models to interdisciplinary and multidisciplinary collaboration models.This shift reflects the growing need to address complex,real-world problems that require expertise from multiple fields.From a management perspective,interdisciplinary research organizations face unique challenges.They must coordinate researchers from diverse disciplinary backgrounds,navigate potential conflicts between traditional departments and interdisciplinary units,and address differences in goals and organizational culture among members.These complexities make management more intricate and demanding.Simultaneously,the focus of university research organizations has become increasingly interest-driven,with research objectives,content,and participants reflecting specific areas of interest or societal demand.To adapt to these evolving trends,university research organizations must adopt flexible models tailored to their unique development needs.This approach will ensure the efficient execution of research activities and facilitate the effective transformation of research outcomes into practical applications.
文摘Baosteel Technical Research,a quarterly journal,which is issued domestically and abroad,is run and sponsored by Baoshan Iron & Steel Co.,Ltd.. Baosteel Technical Research mainly reports the achievements in technological innovation,academic research,new product development and industrial equipment improvement by Baosteel. It will continue to follow up on hot topics and serve the company's technological development and progress. Its readers include experts in steel metallurgy and related fields,technicians,management staff,professors and students in universities and colleges.
文摘Objective:Based on the CNKI database,this study analyzes the current research status and hotspots of the Timing it Right(TIR)Theory in China,providing insights and references for its further development in the field of nursing.Methods:Using bibliometric methods and Citespace software,this study conducts a statistical and visual analysis of publications on TIR Theory from CNKI,focusing on annual publication volumes,author collaboration networks,high-frequency keywords,and emergent terms.Results:The study statistically analyzed the time distribution and research hotspots of 117 relevant papers.The annual publication volume shows a gradual upward trend,though the overall volume remains low.High-frequency keywords such as“family nursing,”“quality of life,”“acute myocardial infarction,”and“stroke”form the core research themes.Conclusion:Research on TIR Theory in China’s nursing field is still in the exploratory stage,and its attention and emphasis need to be enhanced.As it aligns with modern medical models,its application scope in nursing is expanding,promoting the high-quality,scientific,and diversified development of nursing services in China.
文摘High-power laser technology is widely used in manufacturing processing,medical diagnosis,and treatment,and is one of the important fields of strategic high-tech competition in China at the moment.In the context of industrial upgrading,high-power laser technology plays an important role in leading the development of the manufacturing industry and industrial intelligence.Based on this,this paper carries out research on high-power laser technology and industry,summarizes the basic principle and classification of high-power laser technology,analyzes the current status of high-power laser technology industry,points out the opportunities and challenges faced by the industry development,puts forward suggestions to promote the development of high-power laser technology industry,and to provide an effective reference for the application and development of high-power laser technology.
基金Supported by Science and Technology Program of Nantong City,No.Key003Nantong Young Medical Expert,No.46+2 种基金the Science and Technology Program of Nantong Health Committee,No.MA2019003,No.MA2021017,and No.MSZ2024038Science and Technology Program of Nantong City,No.JCZ2022040Kangda College of Nanjing Medical University,No.KD2021JYYJYB025,No.KD2022KYJJZD022,and No.KD2024KYJJ289.
文摘Delirium is a transient and acute syndrome of encephalopathy,characterized by disturbances in consciousness,orientation,cognition,perception,and emotional regulation,often accompanied by hallucinations,illusions,psychomotor agitation,and restlessness.Postoperative delirium(POD),a common complication particularly in elderly patients,significantly impacts recovery by prolonging mechanical ventilation,neurosurgical intensive care unit stays,and overall hospitalization durations,while severely diminishing patients’quality of life after discharge.Despite its prevalence,POD remains underrecognized in clinical practice,with significant gaps in its diagnosis and management.This review explores the definition,diagnostic criteria,underlying pathogenesis,and associated risk factors of POD in neurosurgical patients,aiming to offer valuable insights for improving clinical diagnosis and therapeutic strategies.
文摘This paper makes an in-depth study of the status quo and trend of the development of the big health industry under the background of digitalization,aiming to explore ways to promote the transformation,upgrading and sustainable development of the big health industry through technological innovation and policy guidance,and provide valuable references for the government,enterprises and universities and other stakeholders to promote the high-quality development of the big health industry in the digital era.
文摘Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether Large Language Models(LLMs)can play a role in this process.Design/methodology/approach:This article assesses which ChatGPT inputs(full text without tables,figures,and references;title and abstract;title only)produce better quality score estimates,and the extent to which scores are affected by ChatGPT models and system prompts.Findings:The optimal input is the article title and abstract,with average ChatGPT scores based on these(30 iterations on a dataset of 51 papers)correlating at 0.67 with human scores,the highest ever reported.ChatGPT 4o is slightly better than 3.5-turbo(0.66),and 4o-mini(0.66).Research limitations:The data is a convenience sample of the work of a single author,it only includes one field,and the scores are self-evaluations.Practical implications:The results suggest that article full texts might confuse LLM research quality evaluations,even though complex system instructions for the task are more effective than simple ones.Thus,whilst abstracts contain insufficient information for a thorough assessment of rigour,they may contain strong pointers about originality and significance.Finally,linear regression can be used to convert the model scores into the human scale scores,which is 31%more accurate than guessing.Originality/value:This is the first systematic comparison of the impact of different prompts,parameters and inputs for ChatGPT research quality evaluations.
文摘Dairy wastewater,a kind of high concentration organic wastewater,is produced in large quantities and difficult to treat,and has a negative impact on the ecological environment.In this study,the source,composition,water quality characteristics of dairy wastewater and its impact on the ecological environment were analyzed,and the treatment methods of dairy wastewater at home and abroad in recent years were summarized,in order to provide a reference for the treatment of dairy wastewater.
文摘Purpose:This study investigates whether publication-centric incentive systems,introduced through the National Scientific Accreditation(ASN:Abilitazione Scientifica Nazionale)for professorships in Italy in 2012,contribute to adopting“salami publishing”strategies among Italian academics.Design/methodology/approach:A longitudinal bibliometric analysis was conducted on the publication records of over 25,000 Italian science professors to examine changes in publication output and the originality of their work following the implementation of the ASN.Findings:The analysis revealed a significant increase in publication output after the ASN’s introduction,along with a concurrent decline in the originality of publications.However,no evidence was found linking these trends to increased salami slicing practices among the observed researchers.Research limitations:Given the size of our observation field,we propose an innovative indirect approach based on the degree of originality of publications’bibliographies.We know that bibliographic coupling cannot capture salami publications per se,but only topically-related records.On the other hand,controlling for the author’s specialization level in the period,we believe that a higher level of bibliographic coupling in his scientific output can signal a change in his strategy of disseminating the results of his research.The relatively low R-squared values in our models(0.3-0.4)reflect the complexity of the phenomenon under investigation,revealing the presence of unmeasured factors influencing the outcomes,and future research should explore additional variables or alternative models that might account for a greater proportion of the variability.Despite this limitation,the significant predictors identified in our analysis provide valuable insights into the key factors driving the observed outcomes.Practical implications:The results of the study support those who argue that quantitative research assessment frameworks have had very positive effects and should not be dismissed,contrary to the claims of those evoking the occurrence of side effects that do not appear in the empirical analyses.Originality/value:This study provides empirical evidence on the impact of the ASN on publication behaviors in a huge micro-level dataset,contributing to the broader discourse on the effects of quantitative research assessments on academic publishing practices.
文摘As a response to the complexity of modern health care,nursing education is undergoing significant transformation.This paper aims to explore changing dynamics in nursing education,highlighting trends,challenges,and the potential of Design-Based Research(DBR)as a methodological approach for curricular enhancement.This study employed a qualitative synthesis methodology was utilised,employing a systematic literature analysis of peer-reviewed articles published from 2019 to 2023.Relevant studies were searched in primary databases such as PubMed,Scopus,and Google Scholar,using specific keywords pertaining to nursing education,innovative pedagogical approaches,and DBR.The review revealed significant trends in nursing education including empathy and resilience,cultural competence,technology,interprofessional education,as well as competency-based approaches.Major challenges included teacher shortages,limited clinical placements,technological adaptability,and student mental health issues.DBR became an approach to address these challenges and offers an iterative model for curriculum development and educational innovation.DBR is a systematic and collaborative way to improve nursing education.Despite the barriers to implementation,DBR can lead to a more applicable curriculum based on real-world healthcare needs and create a nimbler educational process to prepare nursing graduates for working in complex healthcare environments.
文摘With the development of modern society,people put forward higher requirements for building safety,which makes the construction project face new challenges.Reinforced concrete frame structure as a common engineering type,although the construction technology has been relatively mature,but its earthquake collapse ability still needs to be strengthened.This paper analyzes the specific factors that affect the seismic collapse ability of reinforced concrete frame structure,summarizes the previous research results,and puts forward innovative application of fiber-reinforced polymer(FRP)composite materials,play the role of smart materials,improve the isolation and energy dissipation devices,etc.,to promote the continuous optimization of reinforced concrete frame structure design,and show better seismic performance.
