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
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
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
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
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
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
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
In recent years,diabetes has posed a serious threat to human health.Traditional Chinese medicine for lowering blood sugar has attracted much attention due to its unique advantages in the treatment of diabetes.This pap...In recent years,diabetes has posed a serious threat to human health.Traditional Chinese medicine for lowering blood sugar has attracted much attention due to its unique advantages in the treatment of diabetes.This paper summarizes the research results on common traditional Chinese medicines for lowering blood sugar in recent years.These results lay a theoretical foundation for the future clinical development and use of hypoglycemic Chinese medicine,the improvement of the quality standards of hypoglycemic Chinese medicine,and the in-depth research on the mechanisms.展开更多
This paper focuses on the research on the teaching efficiency of ideological and political classrooms under the background of blended teaching.It analyzes the connotation and characteristics of blended teaching,explor...This paper focuses on the research on the teaching efficiency of ideological and political classrooms under the background of blended teaching.It analyzes the connotation and characteristics of blended teaching,explores the impact of blended teaching on the teaching efficiency of ideological and political classrooms from multiple aspects,and conducts empirical research through case analysis and data collection.The results show that blended teaching can effectively improve the teaching efficiency of ideological and political classrooms,enhance students’learning enthusiasm and participation,and promote the improvement of students’ideological and political qualities.Finally,corresponding suggestions and countermeasures are put forward to provide a reference for the improvement of the teaching quality of ideological and political courses.展开更多
The rise of the“fishing reviewer”phenomenon presents a significant threat to the integrity of academic publishing,undermining the credibility of the peer review process and eroding trust in scientific journals.This ...The rise of the“fishing reviewer”phenomenon presents a significant threat to the integrity of academic publishing,undermining the credibility of the peer review process and eroding trust in scientific journals.This editorial explores the risk factors contributing to this troubling trend and identifies key indicators to recognize such reviewers.To address this issue,we propose strategies,including enhanced reviewer vetting,comprehensive training,and transparent recognition policies to foster a culture of accountability and ethical conduct in scholarly review.By implementing these measures,we can safeguard the quality and credibility of academic research.展开更多
In response to the current situation of practical teaching and the main problems in the teaching process of cultivating composite talents in the characteristic demonstration software college,this paper analyzes the im...In response to the current situation of practical teaching and the main problems in the teaching process of cultivating composite talents in the characteristic demonstration software college,this paper analyzes the importance of digital reform in practical teaching,introduces the work foundation,main work,reform characteristics,and effects of digital reform in practical teaching of composite talents in Software College of Northeastern University and lays the foundation for future in-depth research,providing reference for the digital reform of practical teaching in related majors of other colleges.展开更多
Throughout the contemporary Chinese history of geography,geographical engineering has consistently played a pivotal role as a fundamental scientific activity.It possesses its distinct ontological basis and value orien...Throughout the contemporary Chinese history of geography,geographical engineering has consistently played a pivotal role as a fundamental scientific activity.It possesses its distinct ontological basis and value orientation,rendering it inseparable from being merely a derivative of geographical science or technology.This paper defines geographical engineering and introduces its development history through the lens of Chinese geographical engineering praxises.Furthermore,it is highlighted the logical and functional consistency between the theory of human-earth system and the praxis of geographical engineering.Six modern cases of geographical engineering projects are presented in detail to demonstrate the points and characteristics of different types of modern geographical engineering.Geographical engineering serves as an engine for promoting integrated geography research,and in response to the challenge posed by fragmented geographies,this paper advocates for an urgent revitalization of geographical engineering.The feasibility of revitalizing geographical engineering is guaranteed because it aligns with China’s national strategies.展开更多
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 ...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.展开更多
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 2019-202...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.展开更多
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 a...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.展开更多
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.
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.
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.
文摘In recent years,diabetes has posed a serious threat to human health.Traditional Chinese medicine for lowering blood sugar has attracted much attention due to its unique advantages in the treatment of diabetes.This paper summarizes the research results on common traditional Chinese medicines for lowering blood sugar in recent years.These results lay a theoretical foundation for the future clinical development and use of hypoglycemic Chinese medicine,the improvement of the quality standards of hypoglycemic Chinese medicine,and the in-depth research on the mechanisms.
文摘This paper focuses on the research on the teaching efficiency of ideological and political classrooms under the background of blended teaching.It analyzes the connotation and characteristics of blended teaching,explores the impact of blended teaching on the teaching efficiency of ideological and political classrooms from multiple aspects,and conducts empirical research through case analysis and data collection.The results show that blended teaching can effectively improve the teaching efficiency of ideological and political classrooms,enhance students’learning enthusiasm and participation,and promote the improvement of students’ideological and political qualities.Finally,corresponding suggestions and countermeasures are put forward to provide a reference for the improvement of the teaching quality of ideological and political courses.
文摘The rise of the“fishing reviewer”phenomenon presents a significant threat to the integrity of academic publishing,undermining the credibility of the peer review process and eroding trust in scientific journals.This editorial explores the risk factors contributing to this troubling trend and identifies key indicators to recognize such reviewers.To address this issue,we propose strategies,including enhanced reviewer vetting,comprehensive training,and transparent recognition policies to foster a culture of accountability and ethical conduct in scholarly review.By implementing these measures,we can safeguard the quality and credibility of academic research.
文摘In response to the current situation of practical teaching and the main problems in the teaching process of cultivating composite talents in the characteristic demonstration software college,this paper analyzes the importance of digital reform in practical teaching,introduces the work foundation,main work,reform characteristics,and effects of digital reform in practical teaching of composite talents in Software College of Northeastern University and lays the foundation for future in-depth research,providing reference for the digital reform of practical teaching in related majors of other colleges.
基金Under the auspices of National Natural Science Foundation of China(No.42293270)。
文摘Throughout the contemporary Chinese history of geography,geographical engineering has consistently played a pivotal role as a fundamental scientific activity.It possesses its distinct ontological basis and value orientation,rendering it inseparable from being merely a derivative of geographical science or technology.This paper defines geographical engineering and introduces its development history through the lens of Chinese geographical engineering praxises.Furthermore,it is highlighted the logical and functional consistency between the theory of human-earth system and the praxis of geographical engineering.Six modern cases of geographical engineering projects are presented in detail to demonstrate the points and characteristics of different types of modern geographical engineering.Geographical engineering serves as an engine for promoting integrated geography research,and in response to the challenge posed by fragmented geographies,this paper advocates for an urgent revitalization of geographical engineering.The feasibility of revitalizing geographical engineering is guaranteed because it aligns with China’s national strategies.
文摘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.
文摘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.
基金supported by the National Natural Science Foundation of China[82172086]National Key R&D Program of China[2020YFE0201700]+2 种基金Shenyang Science and Technology Talent Support Program[RC210447]Career Development Program for Young and Middle-aged Teachers of Shenyang Pharmaceutical University[ZQN2019004]“Dual Service”Program of University in Shenyang。
文摘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.
