Experts and officials shared their insights on poverty reduction cooperation and sustainable development during the 2025 International Seminar on Global Poverty Reduction Partnerships.
Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosupp...Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.展开更多
The World Journal of Gastroenterology Editorial Board Members are composed of 357 distinguished experts active in the relevant field,distributed in 46 countries/regions,including Italy(66),Japan(53),United States(31),...The World Journal of Gastroenterology Editorial Board Members are composed of 357 distinguished experts active in the relevant field,distributed in 46 countries/regions,including Italy(66),Japan(53),United States(31),China(29),South Korea(16),Spain(15),Australia(13),Greece(12),Brazil(11),Romania(8),Germany(7),India(7),Taiwan(7),United Kingdom(7),Türkiye(7),Hungary(5),Russia(5).展开更多
Early correction of childhood malocclusion is timely managing morphological,structural,and functional abnormalities at different dentomaxillofacial developmental stages.The selection of appropriate imaging examination...Early correction of childhood malocclusion is timely managing morphological,structural,and functional abnormalities at different dentomaxillofacial developmental stages.The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion.This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence,aiming to provide general guidance on appropriate imaging examination selection,comprehensive and accurate imaging assessment for early orthodontic treatment patients.展开更多
To better complete various missions, it is necessary to plan an optimal trajectory or provide the optimal control law for the multirole missile according to the actual situation, including launch conditions and target...To better complete various missions, it is necessary to plan an optimal trajectory or provide the optimal control law for the multirole missile according to the actual situation, including launch conditions and target location. Since trajectory optimization struggles to meet real-time requirements, the emergence of data-based generation methods has become a significant focus in contemporary research. However, due to the large differences in the characteristics of the optimal control laws caused by the diversity of tasks, it is difficult to achieve good prediction results by modeling all data with one single model.Therefore, the modeling idea of the mixture of experts(MoE) is adopted. Firstly, the K-means clustering algorithm is used to partition the sample data set, and the corresponding neural network classification model is established as the gate switch of MoE. Then, the expert models, i.e., the mappings from the generation conditions to the optimal control law represented by the results of principal component analysis(PCA), are represented by Kriging models. Finally, multiple rounds of accuracy evaluation, sample supplementation, and model updating are conducted to improve the generation accuracy. The Monte Carlo simulation shows that the accuracy of the proposed model reaches 96% and the generation efficiency meets the real-time requirement.展开更多
The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three ...The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three Combinations”).However,considering TCM's distinctive features of“syndrome differentiation and treatment”and“multicomponent formulations and complex mechanisms”,current TCM drug development faces challenges such as insufficient understanding of the material basis and the overall mechanism of action and an incomplete evidence chain system.Moreover,significant obstacles persist in gathering human experience data,evaluating clinical efficacy,and controlling the quality of active ingredients,which impede the innovation process in TCM drug development.Network pharmacology,centered on the“network targets”theory,transcends the limitations of the conventional“single target”reductionist research model.It emphasizes the comprehensive effects of disease or syndrome biological networks as targets to elucidate the overall regulatory mechanism of TCM prescriptions.This approach aligns with the holistic perspective of TCM,offering a novel method consistent with TCM's holistic view for investigating the complex mechanisms of TCM and developing new TCM drugs.It is internationally recognized as a“next-generation drug research model”.To advance the research of new tools,methods,and standards for TCM evaluation and to overcome fundamental,critical,and cutting-edge technical challenges in TCM regulation,this consensus aims to explore the characteristics,progress,challenges,applicable pathways,and specific applications of network pharmacology as a new theory,method,and tool in TCM drug development.The goal is to enhance the quality of TCM drug research and development and accelerate the efficiency of developing new TCM products.展开更多
The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Ma...The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Many scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated ambiguity.The goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site selection.The characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these uncertainties.To tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s method.Following this,an intelligent algorithm is suggested.The steps of the suggested algorithm are explained with an example that explains itself.The compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their viability.This study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,respectively.It uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior literature.It is simpler for the decisionmakers to look at each option separately because the decision is uncertain.Comparing the computed results,it is discovered that they are consistent and dependable because of their preferred properties.展开更多
Developmental and reproductive toxicity(DART)endpoint entails a toxicological assessment of all developmental stages and reproductive cycles of an organism.In silico tools to predict DART will provide a method to asse...Developmental and reproductive toxicity(DART)endpoint entails a toxicological assessment of all developmental stages and reproductive cycles of an organism.In silico tools to predict DART will provide a method to assess this complex toxicity endpoint and will be valuable for screening emerging pollutants as well as for m anaging new chemicals in China.Currently,there are few published DART prediction models in China,but many related research and development projects are in progress.In 2013,WU et al.published an expert rule-based DART decision tree(DT).This DT relies on known chemical structures linked to DART to forecast DART potential of a given chemical.Within this procedure,an accurate DART data interpretation is the foundation of building and expanding the DT.This paper excerpted case studies demonstrating DART data curation and interpretation of four chemicals(including 8-hydroxyquinoline,3,5,6-trichloro-2-pyridinol,thiacloprid,and imidacloprid)to expand the existing DART DT.Chemicals were first selected from the database of Solid Waste and Chemicals Management Center,Ministry of Ecology and Environment(MEESCC)in China.The structures of these 4 chemicals were analyzed and preliminarily grouped by chemists based on core structural features,functional groups,receptor binding property,metabolism,and possible mode of actions.Then,the DART conclusion was derived by collecting chemical information,searching,integrating,and interpreting DART data by the toxicologists.Finally,these chemicals were classified into either an existing category or a new category via integrating their chemical features,DART conclusions,and biological properties.The results showed that 8-hydroxyquinoline impacted estrous cyclicity,s exual organ weights,and embryonal development,and 3,5,6-trichloro-2-pyridinol caused central nervous system(CNS)malformations,which were added to an existing subcategory 8e(aromatic compounds with multi-halogen and nitro groups)of the DT.Thiacloprid caused dystocia and fetal skeletal malformation,and imidacloprid disrupted the endocrine system and male fertility.They both contain 2-chloro-5-methylpyridine substituted imidazolidine c yclic ring,which were expected to create a new category of neonicotinoids.The current work delineates a t ransparent process of curating toxicological data for the purpose of DART data interpretation.In the presence of sufficient related structures and DART data,the DT can be expanded by iteratively adding chemicals within the a pplicable domain of each category or subcategory.This DT can potentially serve as a tool for screening emerging pollutants and assessing new chemicals in China.展开更多
The article deals with forest communities that develop on small surfaces on steep gradients of the geomorphologically diverse landscape of the Kras plateau.They appear in small depressions called dolines,where a steep...The article deals with forest communities that develop on small surfaces on steep gradients of the geomorphologically diverse landscape of the Kras plateau.They appear in small depressions called dolines,where a steep gradient of ecological conditions appears over a small spatial scale.We tried to detect the turnover of forest communities on this small scale and steep gradient with small plots(microplots)of 4 m^(2)arranged in a continuous transect.We sampled only the ground layer and estimated the cover of each vascular plant species.The main problem was that we could not sample vegetation plots in standard sizes,which would allow a standard classification procedure.We built an expert system based on all of the relevant standard vegetation plots from the region and applied this system on a microplot matrix.We classified one third of microplots in this way,but the remainder were classified by semi-supervised k-means clustering.We thus established 8 communities that appear in dolines and compared their characteristics and ecological conditions by Ellenberg indicator values.Our results show that oak-hornbeam forests can be found in the bottom of dolines.Towards the bottom of deeper dolines,mesophilous ravine forests dominated by sycamore on rocky places,and sessile oak forests on deeper soils appear.On lower slopes,thermophilous ravine forests dominated by limes appear on rocky places.Upper slopes are dominated by Turkey oak,hophornbeam-pubescent oak forests and shrub formations.Turkey oak forests can be found on rather deeper soils than hophornbeam-pubescent oak forests.At the top,hophornbeam-pubescent oak forests can be found that build the zonal vegetation of the region.On rock walls vegetation of rock crevices can be found.The high biodiversity of the region supports the idea that diverse karstic features might have the potential for formation of refugia in future foreseen climate change,related to the potential of karstic relief to create diverse climatic conditions.展开更多
Background:Physicalfitness in childhood and adolescence is associated with a variety of health outcomes and is a powerful marker of current and future health.However,inconsistencies in tests and protocols limit interna...Background:Physicalfitness in childhood and adolescence is associated with a variety of health outcomes and is a powerful marker of current and future health.However,inconsistencies in tests and protocols limit international monitoring and surveillance.The objective of the study was to seek international consensus on a proposed,evidence-informed,Youth Fitness International Test(YFIT)battery and protocols for health monitoring and surveillance in children and adolescents aged 618 years.Methods:We conducted an international modified Delphi study to evaluate the level of agreement with a proposed,evidence-based,YFIT of core health-relatedfitness tests and protocols to be used worldwide in 6-to 18-year-olds.This proposal was based on previous European and North American projects that systematically reviewed the existing evidence to identify the most valid,reliable,health-related,safe,and feasiblefitness tests to be used in children and adolescents aged 618 years.We designed a single-panel modified Delphi study and invited 216 experts from all around the world to answer this Delphi survey,of whom one-third are from low-to-middle income countries and one-third are women.Four experts were involved in the piloting of the survey and did not participate in the main Delphi study to avoid bias.We pre-defined an agreement of 80%among the expert participants to achieve consensus.Results:We obtained a high response rate(78%)with a total of 169fitness experts from 50 countries and territories,including 63 women and 61 experts from low-or middle-income countries/territories.Consensus(>85%agreement)was achieved for all proposed tests and protocols,supporting the YFIT battery,which includes weight and height(to compute body mass index as a proxy of body size/composition),the 20-m shuttle run(cardiorespiratoryfitness),handgrip strength,and standing long jump(muscularfitness).Conclusion:This study contributes to standardizingfitness tests and protocols used for research,monitoring,and surveillance across the world,which will allow for future data pooling and the development of international and regional sex-and age-specific reference values,health-related cut-points,and a global picture offitness among children and adolescents.展开更多
Objective:To develop an expert consensus on subcutaneous injection for allergen-specific immunotherapy.Methods:Relevant domestic and international literature was reviewed,and nursing experts experienced in subcutaneou...Objective:To develop an expert consensus on subcutaneous injection for allergen-specific immunotherapy.Methods:Relevant domestic and international literature was reviewed,and nursing experts experienced in subcutaneous injection of allergen-specific immunotherapy were interviewed to form the initial draft of the consensus.A total of 85 experts from 42 hospitals nationwide were invited to participate the discussions.Through two rounds of expert consultations,adjustments,revisions,and improvements to the initial draft,an online meeting was held to form the final version of the consensus.The content approved by more than 75%of the expert group is retained.Results:The expert consensus includes operational standards for subcutaneous injection of allergen-specific immunotherapy,identification and management of adverse reactions,and health education.Conclusion:The consensus demonstrates strong scientific rigor and practicality,providing guidance for nursing practices in the field of clinical allergology.展开更多
A literature review on AI applications in the field of railway safety shows that the implemented approaches mainly concern the operational,maintenance,and feedback phases following railway incidents or accidents.These...A literature review on AI applications in the field of railway safety shows that the implemented approaches mainly concern the operational,maintenance,and feedback phases following railway incidents or accidents.These approaches exploit railway safety data once the transport system has received authorization for commissioning.However,railway standards and regulations require the development of a safety management system(SMS)from the specification and design phases of the railway system.This article proposes a new AI approach for analyzing and assessing safety from the specification and design phases of the railway system with a view to improving the development of the SMS.Unlike some learning methods,the proposed approach,which is dedicated in particular to safety assessment bodies,is based on semi-supervised learning carried out in close collaboration with safety experts who contributed to the development of a database of potential accident scenarios(learning example database)relating to the risk of rail collision.The proposed decision support is based on the use of an expert system whose knowledge base is automatically generated by inductive learning in the form of an association rule(rule base)and whose main objective is to suggest to the safety expert possible hazards not considered during the development of the SMS to complete the initial hazard register.展开更多
The first plenary meeting of ISO/TC 8/SC 27,Ports and terminals,was held on October 21 in Shanghai,which attracted representatives from 15 member states and 5 international organizations,as well as over 100 experts an...The first plenary meeting of ISO/TC 8/SC 27,Ports and terminals,was held on October 21 in Shanghai,which attracted representatives from 15 member states and 5 international organizations,as well as over 100 experts and scholars.展开更多
This special issue of the Asian Journal of Andrology is fully dedicated to the thematic area of non-obstructive azoospermia(NOA),one of the most complex and challenging conditions in the realm of andrology,urology,and...This special issue of the Asian Journal of Andrology is fully dedicated to the thematic area of non-obstructive azoospermia(NOA),one of the most complex and challenging conditions in the realm of andrology,urology,and reproductive medicine.展开更多
Tunnels are a crucial component of urban infrastructure,continuously exposed to various hazards,threats,and stressors.Events such as earthquakes,fires,and floods,along with aging and construction-related disturbances,...Tunnels are a crucial component of urban infrastructure,continuously exposed to various hazards,threats,and stressors.Events such as earthquakes,fires,and floods,along with aging and construction-related disturbances,pose significant challenges to tunnel resilience.Reliable fragility,restoration,and traffic reinstatement models are essential for assessing and quantifying resilience,as they allow infrastructure operators to prioritize maintenance and adapt to evolving threats in complex transportation systems.Although the vulnerability and fragility of tunnels have been widely researched over the last decade,studies focusing on tunnel restoration to quantify resilience remain scarce.This gap prevents operators from implementing proactive and reactive adaptation measures to ensure seamless tunnel functionality.To address this issue,this study presents a novel,fit-for-purpose,damage-level-dependent probabilistic approach for quantifying tunnel recovery.It introduces the first realistic,practice-led restoration models that enable resilience quantification in tunnels.To develop these models,a global expert survey was conducted to establish reinstatement(traffic capacity)and restoration(structural capacity)models tailored to tunnel resilience assessments.A detailed questionnaire was designed to gather expert input on required restoration tasks,their duration,sequencing,and cost.The survey focused primarily on damage induced by seismic events,incorporating idle times and traffic capacity gains over time.The results were then used to generate deterministic and probabilistic reinstatement and restoration models.The deterministic models are intended for practical applications,while the probabilistic models account for epistemic uncertainties and are presented in a reproducible format for further development across different hazards and applications.A case study is included to demonstrate the resilience assessment of a typical tunnel using the newly developed restoration models.The findings will help infrastructure operators and city planners to accurately assess tunnel resilience,enabling informed investment decisions.展开更多
At the turn of the new spring,as we bid farewell to 2024 and welcome the Spring Festival of 2025,our entire editorial team of Petroleum Exploration and Development extends heartfelt gratitude and sincere New Year'...At the turn of the new spring,as we bid farewell to 2024 and welcome the Spring Festival of 2025,our entire editorial team of Petroleum Exploration and Development extends heartfelt gratitude and sincere New Year's greetings to our editorial board,experts,authors,readers,and friends from all fields!展开更多
Reaffirming its commitment to strengthening ties with China,Spain underscores its role as a bridge between Europe and China in a shifting global landscape.JUST days before Spanish Prime Minister Pedro Sánchez emb...Reaffirming its commitment to strengthening ties with China,Spain underscores its role as a bridge between Europe and China in a shifting global landscape.JUST days before Spanish Prime Minister Pedro Sánchez embarked on his third official visit to Beijing in April in less than three years,the Spanish government hosted a high-level meeting at the Moncloa Palace in Madrid with five prominent Spanish China experts specializing in bilateral relations and continental ties with Beijing.I was honored to join this select group for a three-hour exchange of views with Prime Minister Sánchez and his team-a conversation marked by candor and strategic vision.展开更多
The monumental second edition Petroleum Geology of China has been published by the Petroleum Industry Press.This definitive work was compiled under the leadership of Academician Zhai Guangming,a preeminent authority i...The monumental second edition Petroleum Geology of China has been published by the Petroleum Industry Press.This definitive work was compiled under the leadership of Academician Zhai Guangming,a preeminent authority in petroleum exploration.As the culmination of eight years of dedicated effort by over a thousand experts and scholars,this monumental publication comprises 25 volumes(bound in 32 books).展开更多
Objective:Robot-assisted simple prostatectomy(RASP)is increasingly used as a surgical treatment option for large benign prostatic hyperplasia(BPH)(>80 mL).However,there is no sufficient expert consensus or guidelin...Objective:Robot-assisted simple prostatectomy(RASP)is increasingly used as a surgical treatment option for large benign prostatic hyperplasia(BPH)(>80 mL).However,there is no sufficient expert consensus or guidelines to guide clinical practice.We aimed to obtain expert opinions for RASP for large BPH.Methods:A systematic review of the literature was performed in April 2024 using the PubMed,Embase,and Web of Science databases.Search terms were combined to construct the following search strings:(robotic)AND(simple OR benign)AND(prostatectomy).Search results were filtered by language(English only),species(human),and publication type(original article).This study used a two-phase modified Delphi approach.Results:In this expert consensus,some frequently used RASP techniques,including robot-assisted retropubic prostatectomy,robot-assisted transvesical prostatectomy,and robot-assisted urethra-sparing prostatectomy,are described.RASP offers a short learning curve for surgeons with experience in robotic surgery.Severe complications are rare in patients who undergo RASP.Conclusion:RASP technique can be recommended as a safe and effective minimally invasive treatment for symptomatic BPH patients with large prostate glands.展开更多
文摘Experts and officials shared their insights on poverty reduction cooperation and sustainable development during the 2025 International Seminar on Global Poverty Reduction Partnerships.
文摘Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.
文摘The World Journal of Gastroenterology Editorial Board Members are composed of 357 distinguished experts active in the relevant field,distributed in 46 countries/regions,including Italy(66),Japan(53),United States(31),China(29),South Korea(16),Spain(15),Australia(13),Greece(12),Brazil(11),Romania(8),Germany(7),India(7),Taiwan(7),United Kingdom(7),Türkiye(7),Hungary(5),Russia(5).
基金supports by the National Natural Science Foundation of China(Nos.82201135)"2015"Cultivation Program for Reserve Talents for Academic Leaders of Nanjing Stomatological School,Medical School of Nanjing University(No.0223A204).
文摘Early correction of childhood malocclusion is timely managing morphological,structural,and functional abnormalities at different dentomaxillofacial developmental stages.The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion.This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence,aiming to provide general guidance on appropriate imaging examination selection,comprehensive and accurate imaging assessment for early orthodontic treatment patients.
基金Defense Industrial Technology Development Program (JCKY2020204B016)National Natural Science Foundation of China (92471206)。
文摘To better complete various missions, it is necessary to plan an optimal trajectory or provide the optimal control law for the multirole missile according to the actual situation, including launch conditions and target location. Since trajectory optimization struggles to meet real-time requirements, the emergence of data-based generation methods has become a significant focus in contemporary research. However, due to the large differences in the characteristics of the optimal control laws caused by the diversity of tasks, it is difficult to achieve good prediction results by modeling all data with one single model.Therefore, the modeling idea of the mixture of experts(MoE) is adopted. Firstly, the K-means clustering algorithm is used to partition the sample data set, and the corresponding neural network classification model is established as the gate switch of MoE. Then, the expert models, i.e., the mappings from the generation conditions to the optimal control law represented by the results of principal component analysis(PCA), are represented by Kriging models. Finally, multiple rounds of accuracy evaluation, sample supplementation, and model updating are conducted to improve the generation accuracy. The Monte Carlo simulation shows that the accuracy of the proposed model reaches 96% and the generation efficiency meets the real-time requirement.
基金supported by the National Medical Products Administration Commissioned Research Project (No.20211440216)the National Administration of Traditional Chinese Medicine Science and Technology Project (No.GZY-KJS-2024-03)+3 种基金the State Key Laboratory of Drug Regulatory Science Project (No.2023SKLDRS0104)the Basic Research Program Natural Science Fund-Frontier Leading Technology Basic Research Special Project of Jiangsu Province (No.BK20232014)the Programs Foundation for Leading Talents in National Administration of Traditional Chinese Medicine of China“Qihuang scholars”Projectthe Tianjin Administration for Market Regulation Science and Technology Key Projects (No.2022-W35)。
文摘The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three Combinations”).However,considering TCM's distinctive features of“syndrome differentiation and treatment”and“multicomponent formulations and complex mechanisms”,current TCM drug development faces challenges such as insufficient understanding of the material basis and the overall mechanism of action and an incomplete evidence chain system.Moreover,significant obstacles persist in gathering human experience data,evaluating clinical efficacy,and controlling the quality of active ingredients,which impede the innovation process in TCM drug development.Network pharmacology,centered on the“network targets”theory,transcends the limitations of the conventional“single target”reductionist research model.It emphasizes the comprehensive effects of disease or syndrome biological networks as targets to elucidate the overall regulatory mechanism of TCM prescriptions.This approach aligns with the holistic perspective of TCM,offering a novel method consistent with TCM's holistic view for investigating the complex mechanisms of TCM and developing new TCM drugs.It is internationally recognized as a“next-generation drug research model”.To advance the research of new tools,methods,and standards for TCM evaluation and to overcome fundamental,critical,and cutting-edge technical challenges in TCM regulation,this consensus aims to explore the characteristics,progress,challenges,applicable pathways,and specific applications of network pharmacology as a new theory,method,and tool in TCM drug development.The goal is to enhance the quality of TCM drug research and development and accelerate the efficiency of developing new TCM products.
文摘The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Many scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated ambiguity.The goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site selection.The characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these uncertainties.To tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s method.Following this,an intelligent algorithm is suggested.The steps of the suggested algorithm are explained with an example that explains itself.The compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their viability.This study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,respectively.It uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior literature.It is simpler for the decisionmakers to look at each option separately because the decision is uncertain.Comparing the computed results,it is discovered that they are consistent and dependable because of their preferred properties.
文摘Developmental and reproductive toxicity(DART)endpoint entails a toxicological assessment of all developmental stages and reproductive cycles of an organism.In silico tools to predict DART will provide a method to assess this complex toxicity endpoint and will be valuable for screening emerging pollutants as well as for m anaging new chemicals in China.Currently,there are few published DART prediction models in China,but many related research and development projects are in progress.In 2013,WU et al.published an expert rule-based DART decision tree(DT).This DT relies on known chemical structures linked to DART to forecast DART potential of a given chemical.Within this procedure,an accurate DART data interpretation is the foundation of building and expanding the DT.This paper excerpted case studies demonstrating DART data curation and interpretation of four chemicals(including 8-hydroxyquinoline,3,5,6-trichloro-2-pyridinol,thiacloprid,and imidacloprid)to expand the existing DART DT.Chemicals were first selected from the database of Solid Waste and Chemicals Management Center,Ministry of Ecology and Environment(MEESCC)in China.The structures of these 4 chemicals were analyzed and preliminarily grouped by chemists based on core structural features,functional groups,receptor binding property,metabolism,and possible mode of actions.Then,the DART conclusion was derived by collecting chemical information,searching,integrating,and interpreting DART data by the toxicologists.Finally,these chemicals were classified into either an existing category or a new category via integrating their chemical features,DART conclusions,and biological properties.The results showed that 8-hydroxyquinoline impacted estrous cyclicity,s exual organ weights,and embryonal development,and 3,5,6-trichloro-2-pyridinol caused central nervous system(CNS)malformations,which were added to an existing subcategory 8e(aromatic compounds with multi-halogen and nitro groups)of the DT.Thiacloprid caused dystocia and fetal skeletal malformation,and imidacloprid disrupted the endocrine system and male fertility.They both contain 2-chloro-5-methylpyridine substituted imidazolidine c yclic ring,which were expected to create a new category of neonicotinoids.The current work delineates a t ransparent process of curating toxicological data for the purpose of DART data interpretation.In the presence of sufficient related structures and DART data,the DT can be expanded by iteratively adding chemicals within the a pplicable domain of each category or subcategory.This DT can potentially serve as a tool for screening emerging pollutants and assessing new chemicals in China.
基金supported by the Slovenian Research and Innovation Agency(grant numbers ARIS P1-0236,ARIS P6-0101,ARIS J6-2592).
文摘The article deals with forest communities that develop on small surfaces on steep gradients of the geomorphologically diverse landscape of the Kras plateau.They appear in small depressions called dolines,where a steep gradient of ecological conditions appears over a small spatial scale.We tried to detect the turnover of forest communities on this small scale and steep gradient with small plots(microplots)of 4 m^(2)arranged in a continuous transect.We sampled only the ground layer and estimated the cover of each vascular plant species.The main problem was that we could not sample vegetation plots in standard sizes,which would allow a standard classification procedure.We built an expert system based on all of the relevant standard vegetation plots from the region and applied this system on a microplot matrix.We classified one third of microplots in this way,but the remainder were classified by semi-supervised k-means clustering.We thus established 8 communities that appear in dolines and compared their characteristics and ecological conditions by Ellenberg indicator values.Our results show that oak-hornbeam forests can be found in the bottom of dolines.Towards the bottom of deeper dolines,mesophilous ravine forests dominated by sycamore on rocky places,and sessile oak forests on deeper soils appear.On lower slopes,thermophilous ravine forests dominated by limes appear on rocky places.Upper slopes are dominated by Turkey oak,hophornbeam-pubescent oak forests and shrub formations.Turkey oak forests can be found on rather deeper soils than hophornbeam-pubescent oak forests.At the top,hophornbeam-pubescent oak forests can be found that build the zonal vegetation of the region.On rock walls vegetation of rock crevices can be found.The high biodiversity of the region supports the idea that diverse karstic features might have the potential for formation of refugia in future foreseen climate change,related to the potential of karstic relief to create diverse climatic conditions.
基金supported by the Grant PID2020-120249RB-I00PID2023-148404OB-100funded by MCIN/AEI/10.13039/501100011033+4 种基金by the Andalusian Government(Junta de Andalucía,Plan Andaluz de Investigación,ref.P20_00124)by the Erasmus+Sport Programme of the European Union within the project FitBack4Literacy(No.101089829)Additional support is provided by the University of Granada,Plan Propio de Inves-tigación,Units of ExcellenceUnit of Excellence on Exercise,Nutrition and Health(UCEENS)by theCIBERobn Physiopa-thology of Obesity and Nutrition,and by the Spanish Network in Exercise and Health,EXERNET Network(RED2022-134800-Tand EXP_99828).
文摘Background:Physicalfitness in childhood and adolescence is associated with a variety of health outcomes and is a powerful marker of current and future health.However,inconsistencies in tests and protocols limit international monitoring and surveillance.The objective of the study was to seek international consensus on a proposed,evidence-informed,Youth Fitness International Test(YFIT)battery and protocols for health monitoring and surveillance in children and adolescents aged 618 years.Methods:We conducted an international modified Delphi study to evaluate the level of agreement with a proposed,evidence-based,YFIT of core health-relatedfitness tests and protocols to be used worldwide in 6-to 18-year-olds.This proposal was based on previous European and North American projects that systematically reviewed the existing evidence to identify the most valid,reliable,health-related,safe,and feasiblefitness tests to be used in children and adolescents aged 618 years.We designed a single-panel modified Delphi study and invited 216 experts from all around the world to answer this Delphi survey,of whom one-third are from low-to-middle income countries and one-third are women.Four experts were involved in the piloting of the survey and did not participate in the main Delphi study to avoid bias.We pre-defined an agreement of 80%among the expert participants to achieve consensus.Results:We obtained a high response rate(78%)with a total of 169fitness experts from 50 countries and territories,including 63 women and 61 experts from low-or middle-income countries/territories.Consensus(>85%agreement)was achieved for all proposed tests and protocols,supporting the YFIT battery,which includes weight and height(to compute body mass index as a proxy of body size/composition),the 20-m shuttle run(cardiorespiratoryfitness),handgrip strength,and standing long jump(muscularfitness).Conclusion:This study contributes to standardizingfitness tests and protocols used for research,monitoring,and surveillance across the world,which will allow for future data pooling and the development of international and regional sex-and age-specific reference values,health-related cut-points,and a global picture offitness among children and adolescents.
基金supported by the Peking Union Medical College Hospital Central High-Level Hospital Clinical Research Fund(2022-PUMCH-B-130).
文摘Objective:To develop an expert consensus on subcutaneous injection for allergen-specific immunotherapy.Methods:Relevant domestic and international literature was reviewed,and nursing experts experienced in subcutaneous injection of allergen-specific immunotherapy were interviewed to form the initial draft of the consensus.A total of 85 experts from 42 hospitals nationwide were invited to participate the discussions.Through two rounds of expert consultations,adjustments,revisions,and improvements to the initial draft,an online meeting was held to form the final version of the consensus.The content approved by more than 75%of the expert group is retained.Results:The expert consensus includes operational standards for subcutaneous injection of allergen-specific immunotherapy,identification and management of adverse reactions,and health education.Conclusion:The consensus demonstrates strong scientific rigor and practicality,providing guidance for nursing practices in the field of clinical allergology.
文摘A literature review on AI applications in the field of railway safety shows that the implemented approaches mainly concern the operational,maintenance,and feedback phases following railway incidents or accidents.These approaches exploit railway safety data once the transport system has received authorization for commissioning.However,railway standards and regulations require the development of a safety management system(SMS)from the specification and design phases of the railway system.This article proposes a new AI approach for analyzing and assessing safety from the specification and design phases of the railway system with a view to improving the development of the SMS.Unlike some learning methods,the proposed approach,which is dedicated in particular to safety assessment bodies,is based on semi-supervised learning carried out in close collaboration with safety experts who contributed to the development of a database of potential accident scenarios(learning example database)relating to the risk of rail collision.The proposed decision support is based on the use of an expert system whose knowledge base is automatically generated by inductive learning in the form of an association rule(rule base)and whose main objective is to suggest to the safety expert possible hazards not considered during the development of the SMS to complete the initial hazard register.
文摘The first plenary meeting of ISO/TC 8/SC 27,Ports and terminals,was held on October 21 in Shanghai,which attracted representatives from 15 member states and 5 international organizations,as well as over 100 experts and scholars.
文摘This special issue of the Asian Journal of Andrology is fully dedicated to the thematic area of non-obstructive azoospermia(NOA),one of the most complex and challenging conditions in the realm of andrology,urology,and reproductive medicine.
基金support from the National Natural Science Foundation of China(52478410,W2411044,and 52408435)the National Key Research and Development Program of China(2022YFC3800905)+3 种基金Young Elite Scientists Sponsorship Program by CAST(2023QNRC001)the Fundamental Research Funds for the Central UniversitiesDr.Stergios-Aristoteles Mitoulis and Dr.Sotirios Argyroudis acknowledge funding from the UK Research and Innovation(UKRI)under the UK government’s Horizon Europe funding guarantee(EP/Y003586/1,EP/X037665/1)This is the funding guarantee for the European Union's HORIZON-MSCA-2021-SE-01(101086413)“ReCharged-Climate-Aware Resilience for Sustainable Critical and Interdependent Infrastructure Systems Enhanced by Emerging Digital Technologies.”。
文摘Tunnels are a crucial component of urban infrastructure,continuously exposed to various hazards,threats,and stressors.Events such as earthquakes,fires,and floods,along with aging and construction-related disturbances,pose significant challenges to tunnel resilience.Reliable fragility,restoration,and traffic reinstatement models are essential for assessing and quantifying resilience,as they allow infrastructure operators to prioritize maintenance and adapt to evolving threats in complex transportation systems.Although the vulnerability and fragility of tunnels have been widely researched over the last decade,studies focusing on tunnel restoration to quantify resilience remain scarce.This gap prevents operators from implementing proactive and reactive adaptation measures to ensure seamless tunnel functionality.To address this issue,this study presents a novel,fit-for-purpose,damage-level-dependent probabilistic approach for quantifying tunnel recovery.It introduces the first realistic,practice-led restoration models that enable resilience quantification in tunnels.To develop these models,a global expert survey was conducted to establish reinstatement(traffic capacity)and restoration(structural capacity)models tailored to tunnel resilience assessments.A detailed questionnaire was designed to gather expert input on required restoration tasks,their duration,sequencing,and cost.The survey focused primarily on damage induced by seismic events,incorporating idle times and traffic capacity gains over time.The results were then used to generate deterministic and probabilistic reinstatement and restoration models.The deterministic models are intended for practical applications,while the probabilistic models account for epistemic uncertainties and are presented in a reproducible format for further development across different hazards and applications.A case study is included to demonstrate the resilience assessment of a typical tunnel using the newly developed restoration models.The findings will help infrastructure operators and city planners to accurately assess tunnel resilience,enabling informed investment decisions.
文摘At the turn of the new spring,as we bid farewell to 2024 and welcome the Spring Festival of 2025,our entire editorial team of Petroleum Exploration and Development extends heartfelt gratitude and sincere New Year's greetings to our editorial board,experts,authors,readers,and friends from all fields!
文摘Reaffirming its commitment to strengthening ties with China,Spain underscores its role as a bridge between Europe and China in a shifting global landscape.JUST days before Spanish Prime Minister Pedro Sánchez embarked on his third official visit to Beijing in April in less than three years,the Spanish government hosted a high-level meeting at the Moncloa Palace in Madrid with five prominent Spanish China experts specializing in bilateral relations and continental ties with Beijing.I was honored to join this select group for a three-hour exchange of views with Prime Minister Sánchez and his team-a conversation marked by candor and strategic vision.
文摘The monumental second edition Petroleum Geology of China has been published by the Petroleum Industry Press.This definitive work was compiled under the leadership of Academician Zhai Guangming,a preeminent authority in petroleum exploration.As the culmination of eight years of dedicated effort by over a thousand experts and scholars,this monumental publication comprises 25 volumes(bound in 32 books).
基金funded by National Natural Science Foundation of China(82072846 to Xu B).
文摘Objective:Robot-assisted simple prostatectomy(RASP)is increasingly used as a surgical treatment option for large benign prostatic hyperplasia(BPH)(>80 mL).However,there is no sufficient expert consensus or guidelines to guide clinical practice.We aimed to obtain expert opinions for RASP for large BPH.Methods:A systematic review of the literature was performed in April 2024 using the PubMed,Embase,and Web of Science databases.Search terms were combined to construct the following search strings:(robotic)AND(simple OR benign)AND(prostatectomy).Search results were filtered by language(English only),species(human),and publication type(original article).This study used a two-phase modified Delphi approach.Results:In this expert consensus,some frequently used RASP techniques,including robot-assisted retropubic prostatectomy,robot-assisted transvesical prostatectomy,and robot-assisted urethra-sparing prostatectomy,are described.RASP offers a short learning curve for surgeons with experience in robotic surgery.Severe complications are rare in patients who undergo RASP.Conclusion:RASP technique can be recommended as a safe and effective minimally invasive treatment for symptomatic BPH patients with large prostate glands.
