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
In recent years,China has been issuing artificial intelligence(AI)education policies to promote the deep integration between AI and education.Setting AI courses at the basic education phase can cultivate students’AI ...In recent years,China has been issuing artificial intelligence(AI)education policies to promote the deep integration between AI and education.Setting AI courses at the basic education phase can cultivate students’AI literacy and enhance the country’s science and technology competitiveness in the future.However,due to shortages of AI teachers and inadequate conditions for practice,the current AI courses in primary and secondary schools are not enough in effectiveness.In light of current problems,this study,based on the foundation of university-enterprise cooperation,integrates the“competition and education”mechanism into informal AI course design and practice.Using a design-based research paradigm,the study proposes the design framework from four dimensions:goals,themes and content,methods and steps,and evaluation,and then further refines the framework through two rounds of iterations,to provide a reference for the development and practice of AI courses.展开更多
Journal of Iron and Steel Research International(中文刊名:钢铁研究学报(英文版),下文简称JISRI)是由中国钢铁工业协会主管、中国钢研科技集团有限公司主办的冶金领域学术期刊(CN 11-3678/TF,ISSN 1006-706X)。JISRI于1994年创刊,月...Journal of Iron and Steel Research International(中文刊名:钢铁研究学报(英文版),下文简称JISRI)是由中国钢铁工业协会主管、中国钢研科技集团有限公司主办的冶金领域学术期刊(CN 11-3678/TF,ISSN 1006-706X)。JISRI于1994年创刊,月刊,主编为赵栋梁教授和Hongbiao Dong教授。展开更多
Introduction.Well-designed,strictly implemented,and fully standardized randomized controlled trials(RCTs)are a prerequisite for developing reliable scientific evidence,which can improve clinical practice,health outcom...Introduction.Well-designed,strictly implemented,and fully standardized randomized controlled trials(RCTs)are a prerequisite for developing reliable scientific evidence,which can improve clinical practice,health outcomes,and ultimately benefit patients.Suboptimal reporting is pervasive in medical research,resulting in biased research records and persistent uncertainty about the quality of available evidence.1,2,3,4 The standardization of research reports has attracted considerable attention.In 1996,the Consolidated Standards of Reporting Trials(CONSORT)was first published to improve the quality of RCTs and enhance the reproducibility of trial methods,results,and inferences.展开更多
Medical Data Mining published an article entitled Mapping the global research trends and hotspots on hypertensive nephropathy:A novel bibliometrics overview on 10 October 2025.The author confirmed this article’s proo...Medical Data Mining published an article entitled Mapping the global research trends and hotspots on hypertensive nephropathy:A novel bibliometrics overview on 10 October 2025.The author confirmed this article’s proof on 28 September 2025 without any questions.However,on 13 November 2025,the Editorial Office of Medical Data Mining noticed an inconsistency between the data presented in the main text and Figure 1.Specifically,erroneous Figure 1 states“a total of 56,691 literatures were obtained through database search”,while the main text in the Search results section states“According to the search term,a total of 59,220 publications were retrieved from the database.”The authors acknowledge that the original version of Figure 1 was incorrect and have provided the revised,correct version in this corrigendum.The authors would like to assert that there is no change in the body text of the article.展开更多
In 2025,I had the honor of delivering keynote speeches at the conferences of the International Society for Diet and Activity Methods in Toronto,Canada,and the International Society of Behavioural Nutrition and Physica...In 2025,I had the honor of delivering keynote speeches at the conferences of the International Society for Diet and Activity Methods in Toronto,Canada,and the International Society of Behavioural Nutrition and Physical Activity in Auckland,Aotearoa,New Zealand.These opportunities prompted deep reflection on scientific research in general,and on physical activity and health research specifically.展开更多
Yam(Dioscorea opposita)is an important economic crop,and the development of its the cultivation tecchnology is of great significance for increasing yield,improving quality,and reducing the occurrence of pests and dise...Yam(Dioscorea opposita)is an important economic crop,and the development of its the cultivation tecchnology is of great significance for increasing yield,improving quality,and reducing the occurrence of pests and diseases.With the progression of agricultural technology and changes in market demands,the cultivation tecchnology of yam is constantly innovating and improving.This paper reviewed recent research advances in yam cultivation tecchnology,covering aspects such as soil improvement,variety selection,technological innovations,green pest control,and harvesting and storage.The goal is to provide references for the sustainable development of the yam industry.展开更多
Centering on the critical bottlenecks in the development of shale oil in the Jiyang Depression of Shengli Oilfield,key scientific and engineering issues are proposed in aspects such as the storage space and occurrence...Centering on the critical bottlenecks in the development of shale oil in the Jiyang Depression of Shengli Oilfield,key scientific and engineering issues are proposed in aspects such as the storage space and occurrence state of shale oil,the formation mechanisms of multi-scale flow spaces,the mobilization mechanisms of crude oil in pores and fractures,and the enhanced oil recovery(EOR)mechanisms during the late stage of elastic development.The research progress and mechanistic insights in recent years are reviewed with respect to experimental techniques,characteristics of pore-fracture structure and fluid occurrence,fracture evolution mechanisms,shale oil flow mechanisms and EOR techniques.Through improving the experimental methods,optimizing the testing conditions,and developing new technologies,we deeply understand the occurrence state,storage space and flow pattern of shale oil,and reveal the distribution pattern of“oil-bearing in all pore sizes and oil-rich in large pores”and the differences in fluid phase states under the confinement effect of nano-scale pores in the shales of the Jiyang Depression;depict the characteristics of“restricted vertical expansion and complex fracture networks”of induced fractures and the dynamic evolution of fracture networks during the fracturing-soaking-production process;establish a“easy flow-slow flow-stagnant flow”three-zone model and the elastic drive+imbibition drive synergistic energy replenishment mechanism;and carry out high-pressure injection to further enhance the mass transfer and diffusion capacity of CO_(2)within the shale pore-fracture system,and compete for the desorption of alkanes to improve the mobilization degree of shale oil.The research achievements provide crucial support for the formation of the theory of continental shale oil development and the construction of the technical system.The future research efforts will focus on mine-scale multi-field coupling physical simulation equipment,microscopic to macroscopic multi-scale experimental methods,pore/fracture fine characterization and post-fracturing core fracture description technologies,multi-media fluid-structure coupling numerical simulation algorithms,and low-cost EOR and low-quality shale oil in-situ upgrading technologies,in order to promote the large-scale and profitable development of shale oil in the Jiyang Depression.展开更多
Background:Artificial intelligence medical diagnostic devices(AIMDDs)show strong potential but face barriers to clinical use,emphasizing the need for rigorous clinical research.Objective:We assessed current AIMDD rese...Background:Artificial intelligence medical diagnostic devices(AIMDDs)show strong potential but face barriers to clinical use,emphasizing the need for rigorous clinical research.Objective:We assessed current AIMDD research,key challenges,and future directions.Methods:A scoping review followed Arksey and O'Malley's methodological framework and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines.PubMed,Web of Science Core Collection,and the Cochrane Database of Systematic Reviews(January 2020-December 2024)were searched on AIMDD design,implementation,and evaluation.Two independent researchers screened and extracted data from the literature using predefined criteria.Results:Ninety-seven articles met the inclusion criteria.Machine learning and deep learning approaches dominated across diverse disease fields,with oncology being the most frequent(41%).The key challenges identified include insufficient quantity,quality,representativeness,and diversity of data;research designs that do not adequately address clinical needs;poor patient selection;poorly defined gold standards;lack of external and prospective validation;and a disconnect between validation strategies and clinical practice.Additionally,issues such as the“black box”phenomenon,overfitting,and data privacy concerns hinder clinical translation.Completeness and standardization of reporting were also found to be lacking.Conclusions:Significant challenges remain in the development and clinical application of AIMDD.To facilitate their clinical translation,improvements are needed in dataset optimization,clinically driven research design,development of evaluation frameworks,enhanced interpretability,and standardized reporting and validation of algorithms.展开更多
Coronavirus is an RNA virus that can infect both humans and animals,posing a significant threat to agriculture and public health.Although coronaviruses are highly host-specific,their ability to infect multiple hosts,c...Coronavirus is an RNA virus that can infect both humans and animals,posing a significant threat to agriculture and public health.Although coronaviruses are highly host-specific,their ability to infect multiple hosts,combined with the structure of their genome,gives them a high probability of genetic recombination and mutation,leading to the creation of novel viruses.In recent years,with the establishment and development of reverse genetic manipulation techniques,substantial technical support has been provided for studying the structure and function of the coronavirus genome,the development of novel vaccines and drugs and the construction of viral expression vectors.This paper briefly described the progress in research on coronaviruses and their reverse genetic system construction strategies,aiming to provide some references for future coronavirus research.展开更多
I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single inve...I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single investigator or an isolated team.My advice is intended for early-career scientists.The product of the collaboration may be high-impact research publications,enhanced geophysical monitoring capabilities in a foreign country,or an advanced training course.Choosing the right international partner is the most important step.Keeping an open mind and being receptive to suggestions to modify the initial concept is critical.Other key steps include having a mutually agreed upon plan with achievable goals and well-defined expected outcomes.International cooperation is a richly rewarding experience that accelerates progress in the Earth Sciences.展开更多
Bone Research is an open access,fully peer-reviewed journal publishing the foremost progress and novel understanding of all aspects of bone science.The journal highlights the breakthrough discoveries in basic and clin...Bone Research is an open access,fully peer-reviewed journal publishing the foremost progress and novel understanding of all aspects of bone science.The journal highlights the breakthrough discoveries in basic and clinical aspects of bone biology,pathophysiology and regeneration,as well as other significant findings related to bone.展开更多
A soft X-ray energy materials research beamline(BL20U2),a branch of energy materials beamline(E-line),has been constructed in the Shanghai Synchrotron Radiation Facility(SSRF)Phase-Ⅱ project.It is now operational for...A soft X-ray energy materials research beamline(BL20U2),a branch of energy materials beamline(E-line),has been constructed in the Shanghai Synchrotron Radiation Facility(SSRF)Phase-Ⅱ project.It is now operational for soft X-ray resonant emission spectroscopy(RXES)and soft X-ray resonant elastic scattering(REXS)investigations.Optical optimization was implemented for high performance,e.g.,photon flux,energy-resolving power,and focus spot size.RXES experiments show that the energy range extends from 150 to 1500 eV.The elastic peak measured near titanium absorption edge(@445 eV)indicates an energy resolution of the RXES spectrometer of 65 meV.The measured photon flux is 3×10^(12)photons/s at 244 eV at the RXES sample position for an SSRF electron energy of 3.5 GeV and a projected ring current as 300 mA.The spot size at the RXES sample position is 23μm in the horizontal direction and 7.9μm in the vertical direction,respectively.Moreover,the angular resolution of elastic REXS scatterometer reaches 0.005°through measurement of X-ray reflection from the single-crystal silicon wafers.A sample of the REXS scatterometer is vibrationally decoupled from its chamber and cooled using copper braids connected from an open cycle liquid helium cryo reservoir,whereas the minimum sample temperature is below 15 K.展开更多
Background:Hemifacial spasm(HFS)is a neurological disorder characterized by involuntary facial muscle contractions,significantly impacting quality of life.This study aims to provide a comprehensive bibliometric analys...Background:Hemifacial spasm(HFS)is a neurological disorder characterized by involuntary facial muscle contractions,significantly impacting quality of life.This study aims to provide a comprehensive bibliometric analysis of global research trends,collaborations,and scientific contributions in the field of HFS,addressing publication patterns,influential authors and institutions,and prominent research topics from 1999 to 2024.Methods:We conducted a bibliometric analysis based on 1,884 publications retrieved from the Web of Science Core Collection using the keyword"Hemifacial Spasm."Data analysis and visualization were performed using Microsoft Excel,R/Bibliometrix,Scimago Graphica,VOSviewer,Pajek,and CiteSpace.Parameters assessed included publication trends,author collaborations,institutional contributions,core journals,citation metrics,and keyword clusters.Results:Among the analyzed publications,1,646 were original research articles,and 238 were reviews,involving 6,063 researchers and citing 25,252 references.The United States,China,and Japan were identified as leading contributing countries,with prominent institutions including Shanghai Jiao Tong University,Sungkyunkwan University,and the University of Pittsburgh.Top authors by publication count were Li Shiting,Park Kwan,and Zhong Jun,whereas Peter J.Jannetta,Albert R.Møller,and Janko Jankovic were most frequently cited.Core journals,identified via Bradford’s Law,included Acta Neurochirurgica,World Neurosurgery,and Journal of Neurosurgery.Keyword analysis highlighted focal research areas:"hemifacial spasm","microvascular decompression",and"trigeminal neuralgia".Conclusion:This bibliometric study provides critical insights into the evolution of research on HFS,highlighting key contributors,institutional influence,and research hotspots.The findings underscore ongoing collaborative opportunities and essential areas for future research exploration.展开更多
In the context of rural revitalization and the development of smart agriculture, image classification technology based on deep learning has emerged as a crucial tool for digital monitoring and intelligent prevention a...In the context of rural revitalization and the development of smart agriculture, image classification technology based on deep learning has emerged as a crucial tool for digital monitoring and intelligent prevention and control of agricultural diseases. This paper provides a systematic review of the evolutionary development of algorithms within this field. Addressing challenges such as domain drift and limited global awareness in classical convolutional neural networks (CNNs) applied to complex agricultural environments, the paper focuses on the latest advancements in vision transformers (ViT) and their hybrid architectures to enhance cross-domain robustness and fine-grained recognition capabilities. In response to the challenges posed by scarce long-tail data and limited edge computing power in real-world scenarios, the paper explores solutions related to few-shot learning and ultra-lightweight network deployment. Finally, a forward-looking analysis is presented on the application paradigms of multimodal feature fusion, vision-based large models, and explainable artificial intelligence (AI) within smart plant protection. This analysis aims to offer theoretical insights for the development of efficient and transparent intelligent diagnostic systems for agricultural diseases, thereby supporting the advancement of digital agriculture and the construction of a robust agricultural nation.展开更多
Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasu...Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasures and references for promoting the standardized implementation of nurses’non-pharmacological prescription authority.Methods:A secondary analysis of literature was conducted to systematically search for domestic and international literature related to nurses’non-pharmacological prescription authority.Meta-analysis was performed on eligible literature to evaluate the implementation effects.Simultaneously,semi-structured in-depth interviews were conducted with healthcare workers,patients,and policymakers.Content analysis was used to organize the interview data and extract core issues and barriers.Results:A total of 46 international articles were included in the Meta-analysis,which revealed that the implementation of nurses’non-pharmacological prescription authority significantly improved patients’health management outcomes,enhanced healthcare service efficiency,and increased patient satisfaction.Conclusion:The implementation of nurses’non-pharmacological prescription authority has demonstrated significant positive effects.However,China faces multiple barriers in its advancement,necessitating efforts in optimizing policy systems,constructing collaborative models,strengthening professional skills training,and improving social awareness to guide the scientific and rational implementation of nurses’non-pharmacological prescription authority.展开更多
While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput...While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput molecular mapping across tissue microenvironments.These technologies are emerging as transformative tools in molecular diagnostics and medical research.By integrating histopathological morphology with spatial multi-omics profiling(genome,transcriptome,epigenome,and proteome),spatial omics technologies open an avenue for understanding disease progression,therapeutic resistance mechanisms,and precise diagnosis.It particularly enhances tumor microenvironment analysis by mapping immune cell distributions and functional states,which may greatly facilitate tumor molecular subtyping,prognostic assessment,and prediction of the radiotherapy and chemotherapy efficacy.Despite the substantial advancements in spatial omics,the translation of spatial omics into clinical applications remains challenging due to robustness,efficacy,clinical validation,and cost constraints.In this review,we summarize the current progress and prospects of spatial omics technologies,particularly in medical research and diagnostic applications.展开更多
As a vital food crop,rice is an important part of global food crops.Studying the spatiotemporal changes in rice cultivation facilitates early prediction of production risks and provides support for agricultural policy...As a vital food crop,rice is an important part of global food crops.Studying the spatiotemporal changes in rice cultivation facilitates early prediction of production risks and provides support for agricultural policy decisions related to rice.With the increasing application of satellite remote sensing technology in crop monitoring,remote sensing for rice cultivation has emerged as a novel approach,offering new perspectives for monitoring rice planting.This paper briefly outlined the current research and development status of satellite remote sensing for monitoring rice cultivation both at home and abroad.Foreign scholars have made innovations in data sources and methodologies for satellite remote sensing monitoring,and utilized multi-source satellite information and machine learning algorithms to enhance the accuracy of rice planting monitoring.Scholars in China have achieved significant results in the study of satellite remote sensing for monitoring rice cultivation.Their research and application in monitoring rice planting areas provide valuable references for agricultural production management.However,satellite remote sensing monitoring of rice still faces challenges such as low spatiotemporal resolution and difficulties related to cloud cover and data fusion,which require further in-depth investigation.Additionally,there are shortcomings in the accuracy of remote sensing monitoring for fragmented farmland plots and smallholder farming.To address these issues,future efforts should focus on developing multi-source heterogeneous data fusion analysis technologies and researching monitoring systems.These advancements are expected to enable high-precision large-scale acquisition of rice planting information,laying a foundation for future smart agriculture.展开更多
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In recent years,China has been issuing artificial intelligence(AI)education policies to promote the deep integration between AI and education.Setting AI courses at the basic education phase can cultivate students’AI literacy and enhance the country’s science and technology competitiveness in the future.However,due to shortages of AI teachers and inadequate conditions for practice,the current AI courses in primary and secondary schools are not enough in effectiveness.In light of current problems,this study,based on the foundation of university-enterprise cooperation,integrates the“competition and education”mechanism into informal AI course design and practice.Using a design-based research paradigm,the study proposes the design framework from four dimensions:goals,themes and content,methods and steps,and evaluation,and then further refines the framework through two rounds of iterations,to provide a reference for the development and practice of AI courses.
文摘Journal of Iron and Steel Research International(中文刊名:钢铁研究学报(英文版),下文简称JISRI)是由中国钢铁工业协会主管、中国钢研科技集团有限公司主办的冶金领域学术期刊(CN 11-3678/TF,ISSN 1006-706X)。JISRI于1994年创刊,月刊,主编为赵栋梁教授和Hongbiao Dong教授。
基金supported by the Talent Development Plan for High-level Public Health Technical Personnel Project in Beijing,Beijing Municipal Health Commission[No.XKGG-02-03].
文摘Introduction.Well-designed,strictly implemented,and fully standardized randomized controlled trials(RCTs)are a prerequisite for developing reliable scientific evidence,which can improve clinical practice,health outcomes,and ultimately benefit patients.Suboptimal reporting is pervasive in medical research,resulting in biased research records and persistent uncertainty about the quality of available evidence.1,2,3,4 The standardization of research reports has attracted considerable attention.In 1996,the Consolidated Standards of Reporting Trials(CONSORT)was first published to improve the quality of RCTs and enhance the reproducibility of trial methods,results,and inferences.
文摘Medical Data Mining published an article entitled Mapping the global research trends and hotspots on hypertensive nephropathy:A novel bibliometrics overview on 10 October 2025.The author confirmed this article’s proof on 28 September 2025 without any questions.However,on 13 November 2025,the Editorial Office of Medical Data Mining noticed an inconsistency between the data presented in the main text and Figure 1.Specifically,erroneous Figure 1 states“a total of 56,691 literatures were obtained through database search”,while the main text in the Search results section states“According to the search term,a total of 59,220 publications were retrieved from the database.”The authors acknowledge that the original version of Figure 1 was incorrect and have provided the revised,correct version in this corrigendum.The authors would like to assert that there is no change in the body text of the article.
文摘In 2025,I had the honor of delivering keynote speeches at the conferences of the International Society for Diet and Activity Methods in Toronto,Canada,and the International Society of Behavioural Nutrition and Physical Activity in Auckland,Aotearoa,New Zealand.These opportunities prompted deep reflection on scientific research in general,and on physical activity and health research specifically.
基金Supported by Shandong Provincial Key Research and Development Program(2023TZXD034)2024 National Undergraduate Innovation Training Program(202410061062).
文摘Yam(Dioscorea opposita)is an important economic crop,and the development of its the cultivation tecchnology is of great significance for increasing yield,improving quality,and reducing the occurrence of pests and diseases.With the progression of agricultural technology and changes in market demands,the cultivation tecchnology of yam is constantly innovating and improving.This paper reviewed recent research advances in yam cultivation tecchnology,covering aspects such as soil improvement,variety selection,technological innovations,green pest control,and harvesting and storage.The goal is to provide references for the sustainable development of the yam industry.
基金Supported by the China National Science and Technology Major Project(2024ZD1405103)SINOPEC Science and Technology Major Project(P25184)。
文摘Centering on the critical bottlenecks in the development of shale oil in the Jiyang Depression of Shengli Oilfield,key scientific and engineering issues are proposed in aspects such as the storage space and occurrence state of shale oil,the formation mechanisms of multi-scale flow spaces,the mobilization mechanisms of crude oil in pores and fractures,and the enhanced oil recovery(EOR)mechanisms during the late stage of elastic development.The research progress and mechanistic insights in recent years are reviewed with respect to experimental techniques,characteristics of pore-fracture structure and fluid occurrence,fracture evolution mechanisms,shale oil flow mechanisms and EOR techniques.Through improving the experimental methods,optimizing the testing conditions,and developing new technologies,we deeply understand the occurrence state,storage space and flow pattern of shale oil,and reveal the distribution pattern of“oil-bearing in all pore sizes and oil-rich in large pores”and the differences in fluid phase states under the confinement effect of nano-scale pores in the shales of the Jiyang Depression;depict the characteristics of“restricted vertical expansion and complex fracture networks”of induced fractures and the dynamic evolution of fracture networks during the fracturing-soaking-production process;establish a“easy flow-slow flow-stagnant flow”three-zone model and the elastic drive+imbibition drive synergistic energy replenishment mechanism;and carry out high-pressure injection to further enhance the mass transfer and diffusion capacity of CO_(2)within the shale pore-fracture system,and compete for the desorption of alkanes to improve the mobilization degree of shale oil.The research achievements provide crucial support for the formation of the theory of continental shale oil development and the construction of the technical system.The future research efforts will focus on mine-scale multi-field coupling physical simulation equipment,microscopic to macroscopic multi-scale experimental methods,pore/fracture fine characterization and post-fracturing core fracture description technologies,multi-media fluid-structure coupling numerical simulation algorithms,and low-cost EOR and low-quality shale oil in-situ upgrading technologies,in order to promote the large-scale and profitable development of shale oil in the Jiyang Depression.
基金supported by the National Key R&D Program of China(2022YFC3501000,2022YFC3502300)National Natural Science Foundation of China(82374627)+2 种基金Fundamental Research Funds for the Central public welfare research institutes(Z0876)Fundamental Research Funds for the Central Universities(2024-JYB-KYPT-01)Beijing Municipal Science and Technology Commission(Z241100007724010).
文摘Background:Artificial intelligence medical diagnostic devices(AIMDDs)show strong potential but face barriers to clinical use,emphasizing the need for rigorous clinical research.Objective:We assessed current AIMDD research,key challenges,and future directions.Methods:A scoping review followed Arksey and O'Malley's methodological framework and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines.PubMed,Web of Science Core Collection,and the Cochrane Database of Systematic Reviews(January 2020-December 2024)were searched on AIMDD design,implementation,and evaluation.Two independent researchers screened and extracted data from the literature using predefined criteria.Results:Ninety-seven articles met the inclusion criteria.Machine learning and deep learning approaches dominated across diverse disease fields,with oncology being the most frequent(41%).The key challenges identified include insufficient quantity,quality,representativeness,and diversity of data;research designs that do not adequately address clinical needs;poor patient selection;poorly defined gold standards;lack of external and prospective validation;and a disconnect between validation strategies and clinical practice.Additionally,issues such as the“black box”phenomenon,overfitting,and data privacy concerns hinder clinical translation.Completeness and standardization of reporting were also found to be lacking.Conclusions:Significant challenges remain in the development and clinical application of AIMDD.To facilitate their clinical translation,improvements are needed in dataset optimization,clinically driven research design,development of evaluation frameworks,enhanced interpretability,and standardized reporting and validation of algorithms.
基金Supported by the National Natural Science Foundation of China Joint Foundation Programme(U22A20527)。
文摘Coronavirus is an RNA virus that can infect both humans and animals,posing a significant threat to agriculture and public health.Although coronaviruses are highly host-specific,their ability to infect multiple hosts,combined with the structure of their genome,gives them a high probability of genetic recombination and mutation,leading to the creation of novel viruses.In recent years,with the establishment and development of reverse genetic manipulation techniques,substantial technical support has been provided for studying the structure and function of the coronavirus genome,the development of novel vaccines and drugs and the construction of viral expression vectors.This paper briefly described the progress in research on coronaviruses and their reverse genetic system construction strategies,aiming to provide some references for future coronavirus research.
文摘I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single investigator or an isolated team.My advice is intended for early-career scientists.The product of the collaboration may be high-impact research publications,enhanced geophysical monitoring capabilities in a foreign country,or an advanced training course.Choosing the right international partner is the most important step.Keeping an open mind and being receptive to suggestions to modify the initial concept is critical.Other key steps include having a mutually agreed upon plan with achievable goals and well-defined expected outcomes.International cooperation is a richly rewarding experience that accelerates progress in the Earth Sciences.
文摘Bone Research is an open access,fully peer-reviewed journal publishing the foremost progress and novel understanding of all aspects of bone science.The journal highlights the breakthrough discoveries in basic and clinical aspects of bone biology,pathophysiology and regeneration,as well as other significant findings related to bone.
文摘A soft X-ray energy materials research beamline(BL20U2),a branch of energy materials beamline(E-line),has been constructed in the Shanghai Synchrotron Radiation Facility(SSRF)Phase-Ⅱ project.It is now operational for soft X-ray resonant emission spectroscopy(RXES)and soft X-ray resonant elastic scattering(REXS)investigations.Optical optimization was implemented for high performance,e.g.,photon flux,energy-resolving power,and focus spot size.RXES experiments show that the energy range extends from 150 to 1500 eV.The elastic peak measured near titanium absorption edge(@445 eV)indicates an energy resolution of the RXES spectrometer of 65 meV.The measured photon flux is 3×10^(12)photons/s at 244 eV at the RXES sample position for an SSRF electron energy of 3.5 GeV and a projected ring current as 300 mA.The spot size at the RXES sample position is 23μm in the horizontal direction and 7.9μm in the vertical direction,respectively.Moreover,the angular resolution of elastic REXS scatterometer reaches 0.005°through measurement of X-ray reflection from the single-crystal silicon wafers.A sample of the REXS scatterometer is vibrationally decoupled from its chamber and cooled using copper braids connected from an open cycle liquid helium cryo reservoir,whereas the minimum sample temperature is below 15 K.
基金supported by grants from the National Natural Science Foundation of China(No.82271426).
文摘Background:Hemifacial spasm(HFS)is a neurological disorder characterized by involuntary facial muscle contractions,significantly impacting quality of life.This study aims to provide a comprehensive bibliometric analysis of global research trends,collaborations,and scientific contributions in the field of HFS,addressing publication patterns,influential authors and institutions,and prominent research topics from 1999 to 2024.Methods:We conducted a bibliometric analysis based on 1,884 publications retrieved from the Web of Science Core Collection using the keyword"Hemifacial Spasm."Data analysis and visualization were performed using Microsoft Excel,R/Bibliometrix,Scimago Graphica,VOSviewer,Pajek,and CiteSpace.Parameters assessed included publication trends,author collaborations,institutional contributions,core journals,citation metrics,and keyword clusters.Results:Among the analyzed publications,1,646 were original research articles,and 238 were reviews,involving 6,063 researchers and citing 25,252 references.The United States,China,and Japan were identified as leading contributing countries,with prominent institutions including Shanghai Jiao Tong University,Sungkyunkwan University,and the University of Pittsburgh.Top authors by publication count were Li Shiting,Park Kwan,and Zhong Jun,whereas Peter J.Jannetta,Albert R.Møller,and Janko Jankovic were most frequently cited.Core journals,identified via Bradford’s Law,included Acta Neurochirurgica,World Neurosurgery,and Journal of Neurosurgery.Keyword analysis highlighted focal research areas:"hemifacial spasm","microvascular decompression",and"trigeminal neuralgia".Conclusion:This bibliometric study provides critical insights into the evolution of research on HFS,highlighting key contributors,institutional influence,and research hotspots.The findings underscore ongoing collaborative opportunities and essential areas for future research exploration.
基金Supported by School-level Project of Shaoyang Industry Polytechnic College(SKY24A06)Science and Technology Plan(Special Fund Subsidy)of Shaoyang City(2024PT4070)General Research Project of Hunan Provincial Department of Education in 2025(25C1457).
文摘In the context of rural revitalization and the development of smart agriculture, image classification technology based on deep learning has emerged as a crucial tool for digital monitoring and intelligent prevention and control of agricultural diseases. This paper provides a systematic review of the evolutionary development of algorithms within this field. Addressing challenges such as domain drift and limited global awareness in classical convolutional neural networks (CNNs) applied to complex agricultural environments, the paper focuses on the latest advancements in vision transformers (ViT) and their hybrid architectures to enhance cross-domain robustness and fine-grained recognition capabilities. In response to the challenges posed by scarce long-tail data and limited edge computing power in real-world scenarios, the paper explores solutions related to few-shot learning and ultra-lightweight network deployment. Finally, a forward-looking analysis is presented on the application paradigms of multimodal feature fusion, vision-based large models, and explainable artificial intelligence (AI) within smart plant protection. This analysis aims to offer theoretical insights for the development of efficient and transparent intelligent diagnostic systems for agricultural diseases, thereby supporting the advancement of digital agriculture and the construction of a robust agricultural nation.
基金Scientific Research Fund Project of Yunnan Provincial Department of Education(Project No.:2024J2130)。
文摘Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasures and references for promoting the standardized implementation of nurses’non-pharmacological prescription authority.Methods:A secondary analysis of literature was conducted to systematically search for domestic and international literature related to nurses’non-pharmacological prescription authority.Meta-analysis was performed on eligible literature to evaluate the implementation effects.Simultaneously,semi-structured in-depth interviews were conducted with healthcare workers,patients,and policymakers.Content analysis was used to organize the interview data and extract core issues and barriers.Results:A total of 46 international articles were included in the Meta-analysis,which revealed that the implementation of nurses’non-pharmacological prescription authority significantly improved patients’health management outcomes,enhanced healthcare service efficiency,and increased patient satisfaction.Conclusion:The implementation of nurses’non-pharmacological prescription authority has demonstrated significant positive effects.However,China faces multiple barriers in its advancement,necessitating efforts in optimizing policy systems,constructing collaborative models,strengthening professional skills training,and improving social awareness to guide the scientific and rational implementation of nurses’non-pharmacological prescription authority.
基金supported by the National Natural Science Foundation of China(32171022,32221005,and 32401246).
文摘While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput molecular mapping across tissue microenvironments.These technologies are emerging as transformative tools in molecular diagnostics and medical research.By integrating histopathological morphology with spatial multi-omics profiling(genome,transcriptome,epigenome,and proteome),spatial omics technologies open an avenue for understanding disease progression,therapeutic resistance mechanisms,and precise diagnosis.It particularly enhances tumor microenvironment analysis by mapping immune cell distributions and functional states,which may greatly facilitate tumor molecular subtyping,prognostic assessment,and prediction of the radiotherapy and chemotherapy efficacy.Despite the substantial advancements in spatial omics,the translation of spatial omics into clinical applications remains challenging due to robustness,efficacy,clinical validation,and cost constraints.In this review,we summarize the current progress and prospects of spatial omics technologies,particularly in medical research and diagnostic applications.
基金Supported by Natural Science Foundation General Project of Heilongjiang Province(C2018050).
文摘As a vital food crop,rice is an important part of global food crops.Studying the spatiotemporal changes in rice cultivation facilitates early prediction of production risks and provides support for agricultural policy decisions related to rice.With the increasing application of satellite remote sensing technology in crop monitoring,remote sensing for rice cultivation has emerged as a novel approach,offering new perspectives for monitoring rice planting.This paper briefly outlined the current research and development status of satellite remote sensing for monitoring rice cultivation both at home and abroad.Foreign scholars have made innovations in data sources and methodologies for satellite remote sensing monitoring,and utilized multi-source satellite information and machine learning algorithms to enhance the accuracy of rice planting monitoring.Scholars in China have achieved significant results in the study of satellite remote sensing for monitoring rice cultivation.Their research and application in monitoring rice planting areas provide valuable references for agricultural production management.However,satellite remote sensing monitoring of rice still faces challenges such as low spatiotemporal resolution and difficulties related to cloud cover and data fusion,which require further in-depth investigation.Additionally,there are shortcomings in the accuracy of remote sensing monitoring for fragmented farmland plots and smallholder farming.To address these issues,future efforts should focus on developing multi-source heterogeneous data fusion analysis technologies and researching monitoring systems.These advancements are expected to enable high-precision large-scale acquisition of rice planting information,laying a foundation for future smart agriculture.
