Although many multi-view clustering(MVC) algorithms with acceptable performances have been presented, to the best of our knowledge, nearly all of them need to be fed with the correct number of clusters. In addition, t...Although many multi-view clustering(MVC) algorithms with acceptable performances have been presented, to the best of our knowledge, nearly all of them need to be fed with the correct number of clusters. In addition, these existing algorithms create only the hard and fuzzy partitions for multi-view objects,which are often located in highly-overlapping areas of multi-view feature space. The adoption of hard and fuzzy partition ignores the ambiguity and uncertainty in the assignment of objects, likely leading to performance degradation. To address these issues, we propose a novel sparse reconstructive multi-view evidential clustering algorithm(SRMVEC). Based on a sparse reconstructive procedure, SRMVEC learns a shared affinity matrix across views, and maps multi-view objects to a 2-dimensional humanreadable chart by calculating 2 newly defined mathematical metrics for each object. From this chart, users can detect the number of clusters and select several objects existing in the dataset as cluster centers. Then, SRMVEC derives a credal partition under the framework of evidence theory, improving the fault tolerance of clustering. Ablation studies show the benefits of adopting the sparse reconstructive procedure and evidence theory. Besides,SRMVEC delivers effectiveness on benchmark datasets by outperforming some state-of-the-art methods.展开更多
Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality mea- sure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degr...Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality mea- sure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degree centrality, betweenness centra- lity and closeness centrality are taken into consideration in the proposed method. Numerical examples are used to illustrate the effectiveness of the proposed method.展开更多
In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boo...In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning(ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.展开更多
Land cover classification is the core of converting satellite imagery to available geographic data.However,spectral signatures do not always provide enough information in classification decisions.Thus,the application ...Land cover classification is the core of converting satellite imagery to available geographic data.However,spectral signatures do not always provide enough information in classification decisions.Thus,the application of multi-source data becomes necessary.This paper presents an evidential reasoning (ER) approach to incorporate Landsat TM imagery,altitude and slope data.Results show that multi-source data contribute to the classification accuracy achieved by the ER method,whereas play a negative role to that derived by maximum likelihood classifier (MLC).In comparison to the results derived based on TM imagery alone,the overall accuracy rate of the ER method increases by 7.66% and that of the MLC method decreases by 8.35% when all data sources (TM plus altitude and slope) are accessible.The ER method is regarded as a better approach for multi-source image classification.In addition,the method produces not only an accurate classification result,but also the uncertainty which presents the inherent difficulty in classification decisions.The uncertainty associated to the ER classification image is evaluated and proved to be useful for improved classification accuracy.展开更多
Evidential Reasoning(ER)rule,which can combine multiple pieces of independent evidence conjunctively,is widely applied in multiple attribute decision analysis.However,the assumption of independence among evidence is o...Evidential Reasoning(ER)rule,which can combine multiple pieces of independent evidence conjunctively,is widely applied in multiple attribute decision analysis.However,the assumption of independence among evidence is often not satisfied,resulting in ER rule inapplicable.In this paper,an Evidential Reasoning rule for Dependent Evidence combination(ERr-DE)is developed.Firstly,the aggregation sequence of multiple pieces of evidence is determined according to evidence reliability.On this basis,a calculation method of evidence Relative Total Dependence Coefficient(RTDC)is proposed using the distance correlation method.Secondly,as a discounting factor,RTDC is introduced into the ER rule framework,and the ERr-DE model is formulated.The aggregation process of two pieces of dependent evidence by ERr-DE is investigated,which is then generalized to aggregate multiple pieces of non-independent evidence.Thirdly,sensitivity analysis is carried out to investigate the relationship between the model output and the RTDC.The properties of sensitivity coefficient are explored and mathematically proofed.The conjunctive probabilistic reasoning process of ERr-DE and the properties of sensitivity coefficient are verified by two numerical examples respectively.Finally,the practical application of the ERr-DE is validated by a case study on the performance assessment of satellite turntable system.展开更多
In order to overcome the limitations of traditional methods in uncertainty analysis, a modified Bayesian network(BN), which is called evidence network(EN), was proposed with evidence theory to handle epistemic uncerta...In order to overcome the limitations of traditional methods in uncertainty analysis, a modified Bayesian network(BN), which is called evidence network(EN), was proposed with evidence theory to handle epistemic uncertainty in probabilistic risk assessment(PRA). Fault trees(FTs) and event trees(ETs) were transformed into an EN which is used as a uniform framework to represent accident scenarios. Epistemic uncertainties of basic events in PRA were presented in evidence theory form and propagated through the network. A case study of a highway tunnel risk analysis was discussed to demonstrate the proposed approach. Frequencies of end states are obtained and expressed by belief and plausibility measures. The proposed approach addresses the uncertainties in experts' knowledge and can be easily applied to uncertainty analysis of FTs/ETs that have dependent events.展开更多
Since the 12th Five-Year Program,China textile industry has maintained a sustained,steady and sound development with the expanding scale of industrial volume,effective implementation of science and technology,brands,s...Since the 12th Five-Year Program,China textile industry has maintained a sustained,steady and sound development with the expanding scale of industrial volume,effective implementation of science and technology,brands,sustainable development,qualified personnel and other important strategies as well as the promotion of constructing the powerful textile country strategy.However,as the great changes took place in external macro situation and internal development pattern,the economic growth展开更多
Dempster-Shafer evidence theory(DS theory) is widely used in brain magnetic resonance imaging(MRI) segmentation,due to its efficient combination of the evidence from different sources. In this paper, an improved MRI s...Dempster-Shafer evidence theory(DS theory) is widely used in brain magnetic resonance imaging(MRI) segmentation,due to its efficient combination of the evidence from different sources. In this paper, an improved MRI segmentation method,which is based on fuzzy c-means(FCM) and DS theory, is proposed. Firstly, the average fusion method is used to reduce the uncertainty and the conflict information in the pictures. Then, the neighborhood information and the different influences of spatial location of neighborhood pixels are taken into consideration to handle the spatial information. Finally, the segmentation and the sensor data fusion are achieved by using the DS theory. The simulated images and the MRI images illustrate that our proposed method is more effective in image segmentation.展开更多
This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential Petri net (EPN) model is used in knowledge inference and reliability analysis of co...This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential Petri net (EPN) model is used in knowledge inference and reliability analysis of complex mechanical systems. The EPN could take epistemic uncertainty such as interval information, subjective information into account by applying D-S evidence quantification theory. A dynamic representation model is also proposed based on the dynamic operation rules of the EPN model, and an improved artificial bee colony (ABC) algorithm is employed to proceed optimization calculation during the complex systems' learning process. The improved ABC algorithm and D-S evidence theory overcome the disadvantage of extremely subjective in traditional knowledge inference efficiently and thus could improve the accuracy of the EPN learning model. Through a simple numerical case and a satellite driving system analysis, this paper proves the superiority of the EPN and the dynamic knowledge representation method in reliability analysis of complex systems.展开更多
Xinjiang has undergone significant changes in recent years.Government efforts to create a peaceful environment are visibly yielding results.Once rife with conflict,the region now enjoys stability and growth.A sense of...Xinjiang has undergone significant changes in recent years.Government efforts to create a peaceful environment are visibly yielding results.Once rife with conflict,the region now enjoys stability and growth.A sense of calm and safety is evident on its streets,which are now brimming with commerce and culture.展开更多
Objective Observational studies have found associations between inflammatory bowel disease(IBD)and the risk of dementia,including Alzheimer’s dementia(AD)and vascular dementia(VD);however,these findings are inconsist...Objective Observational studies have found associations between inflammatory bowel disease(IBD)and the risk of dementia,including Alzheimer’s dementia(AD)and vascular dementia(VD);however,these findings are inconsistent.It remains unclear whether these associations are causal.Methods We conducted a meta-analysis by systematically searching for observational studies on the association between IBD and dementia.Mendelian randomization(MR)analysis based on summary genome-wide association studies(GWASs)was performed.Genetic correlation and Bayesian colocalization analyses were used to provide robust genetic evidence.Results Ten observational studies involving 80,565,688 participants were included in this metaanalysis.IBD was significantly associated with dementia(risk ratio[RR]=1.36,95%CI=1.04-1.78;I2=84.8%)and VD(RR=2.60,95%CI=1.18-5.70;only one study),but not with AD(RR=2.00,95%CI=0.96-4.13;I^(2)=99.8%).MR analyses did not supported significant causal associations of IBD with dementia(dementia:odds ratio[OR]=1.01,95%CI=0.98-1.03;AD:OR=0.98,95%CI=0.95-1.01;VD:OR=1.02,95%CI=0.97-1.07).In addition,genetic correlation and co-localization analyses did not reveal any genetic associations between IBD and dementia.Conclusion Our study did not provide genetic evidence for a causal association between IBD and dementia risk.The increased risk of dementia observed in observational studies may be attributed to unobserved confounding factors or detection bias.展开更多
Birch mice(family Sicistidae)are small dipodoid rodents distributed in regions surrounding the Qinghai-Xizang Plateau and extending across the Palearctic.In China,members of the genus Sicista are rarely recorded,and t...Birch mice(family Sicistidae)are small dipodoid rodents distributed in regions surrounding the Qinghai-Xizang Plateau and extending across the Palearctic.In China,members of the genus Sicista are rarely recorded,and their systematics remain poorly resolved.As part of the Second Xizang Plateau Expedition by the Kunming Institute of Zoology,Chinese Academy of Sciences,systematic surveys conducted in southern Xizang and the western Tianshan Mountains yielded two previously unrecognized species.Two specimens from southern Xizang were found to occupy a deeply divergent phylogenetic position within Sicistidae.Morphological assessments and molecular phylogenetic analyses of both extant and fossil Sicistidae,along with total-evidence dating and ancestral distribution reconstruction,identified these specimens as representatives of an ancient extant lineage that diverged from Sicista approximately 20.38 million years ago.This lineage is designated as a new genus,defined by the new species Breviforamen shannanensis gen.et sp.nov.Furthermore,11 specimens from the Tianshan Mountains are described as a second new species,Sicista brevicauda sp.nov.,based on diagnostic morphological and genetic features.Ancestral distribution reconstructions,combined with fossil records,indicate an early Miocene origin for Sicistidae across a broad region spanning the“Gobi”Desert to parts of North America.Climatic deterioration and increasing desertification during the mid-Miocene likely drove southward dispersal of Breviforamen gen.nov.into southern Xizang prior to the complete formation of the Yarlung Zangbo River.Overall,these findings broaden current understanding of Sicistidae diversity,elucidate the origin and dispersal patterns of the family,and highlight the presence of an ancient relict lineage in China.展开更多
Background:The bibliometrics of acupuncture are growing rapidly.However,the absence of reporting guidelines may lead to significant duplication and waste,thereby undermining the research’s value.To address this,a kno...Background:The bibliometrics of acupuncture are growing rapidly.However,the absence of reporting guidelines may lead to significant duplication and waste,thereby undermining the research’s value.To address this,a knowledge mapping was generated based on published studies to investigate the characteristics of bibliometric studies on acupuncture and the extent of duplicate publications,with the overarching goal of providing a comprehensive overview of the knowledge structure in this field.Methods:This cross-sectional study used three databases(PubMed,Web of Science,and Scopus)to identify relevant studies up to May 1,2024.In addition,the reference lists were retrieved as a supplement.To track research trends,we employed Microsoft Excel and R software to extract,code,and analyze information.Study selection,data extraction,and validation were performed independently by at least two reviewers.The reporting quality of included studies was assessed using the Preliminary guideline for reporting bibliometric reviews of the biomedical literature(BIBLIO).Results:Among the 6,221 bibliometric reviews examined,113 relevant publications were identified,80 focusing on various diseases/conditions.The annual number of publications has gradually increased,with the output in the past four years being 3.52 times higher than that before 2020.China(106)and Chengdu University of Traditional Chinese Medicine(16)have the highest number of publications.The most prolific author is Fan-Rong Liang,with six articles.The first bibliometric study,by Hai-Yan Li,was published in 2010.Journal of Pain Research,with 36 articles,holds the most publications.The top three diseases:diseases of the nervous system;symptoms,signs,or clinical findings not elsewhere classified;and mental,behavioral,or neurodevelopmental disorders.There may be potential duplication in research on 13 diseases/conditions,notably stroke,migraine,pain/analgesia,cancer pain,shoulder pain,facial paralysis/bell’s palsy,chronic pain,and cognitive impairment.In BIBLIO,the most frequently missing items are issues/topics(item 2),quality assessment(item 11),and descriptive findings(item 13).Conclusion:This study demonstrates that acupuncture bibliometrics is actively utilized to identify dominant diseases/conditions,aiding scholars in understand the knowledge structure and main topics.Although the number of related studies is increasing,with an average of 25 studies annually,overlap in some areas highlights the need for adherence to reporting guidelines and careful topic selection to ensure truly valuable insights and knowledge contributions.The adherence to BIBLIO’s 20 proposed items across analyzed articles,highlighting important in reporting practices.展开更多
High-quality clinical evidence is the basis of evidence-based medical practice.Acupuncture is the most widely used complementary and alternative medicine in the world.However,the improvement in the quality of acupunct...High-quality clinical evidence is the basis of evidence-based medical practice.Acupuncture is the most widely used complementary and alternative medicine in the world.However,the improvement in the quality of acupuncture clinical research does not match the rapid increase in the number of acupuncture clinical research in recent years.At present,the number of high-quality acupuncture clinical research in the world remains low.Taking the trial of acupuncture for chronic spontaneous urticaria published in Annals of Internal Medicine as an example,this paper discusses the factors that contribute to producing high-quality clinical evidence for acupuncture from the aspects of selecting the topic of study,formulating the study method,designing the study plan,controlling the study process,writing the study report,and selecting the journal in the process of before,during,and after the research.It emphasizes the necessity to start from the benefit of global people's health,take practical clinical problems as guidance,cleverly choose the research entry point,and conduct high-quality research with clinical value.After the accomplishment of the study,the results must be faithfully described,the scientific conclusions accurately sublimated,and appropriate scientific journals selected for publication.展开更多
Depression is a complex mental health disorder that significantly impairs quality of life and affects millions globally.Emerging evidence underscores a potential link between macronutrient imbalances and depression on...Depression is a complex mental health disorder that significantly impairs quality of life and affects millions globally.Emerging evidence underscores a potential link between macronutrient imbalances and depression onset or progression.This review explores how macronutrients—carbohydrates,fats,and proteins—may influence depressive symptoms.For example,excessive sugar consumption is associated with heightened depressive risk,likely due to its effects on insulin resistance and inflammation.Conversely,sufficient protein intake appears to mitigate depression risk,with studies reporting that a 10%increase in caloric intake from protein correlates with a significant reduction in depression prevalence.However,diets rich in saturated fats and proteins may slightly elevate depressive risk.This review emphasizes the critical importance of dietary balance in promoting mental health.Although some studies have suggested that maintaining specific macronutrient ratios may be associated with a reduced risk of depression,given the diversity of evidence and contradictory findings among studies,further research is needed to clarify the exact effects.Future research should aim to elucidate the molecular mechanisms underlying these associations,providing a robust foundation for dietary interventions in the prevention and treatment of depression.展开更多
Climate change is a pressing global environmental issue^([1]).The gradual rise in global surface temperature is the most immediate and direct among its public health impacts.Influenza,the leading cause of human respir...Climate change is a pressing global environmental issue^([1]).The gradual rise in global surface temperature is the most immediate and direct among its public health impacts.Influenza,the leading cause of human respiratory viral infections,remains a substantial public health concern owing to its considerable disease burden,particularly in highrisk groups.Mounting epidemiological evidence has linked influenza to extreme heat and cold weather^([2–4]).展开更多
Background:Numerous systematic reviews and meta-analyses have been published that evaluate the association between periodontal disease and systemic diseases,many of which address similar topics.Moreover,their quality ...Background:Numerous systematic reviews and meta-analyses have been published that evaluate the association between periodontal disease and systemic diseases,many of which address similar topics.Moreover,their quality requires assessment.Therefore,we performed a cross-sectional analysis to examine the evidence on the relationship between periodontal disease and systemic diseases.Methods:The PubMed,Embase,Web of Science,and the Cochrane Library databases were systematically searched to identify relevant systematic reviews and meta-analyses.Only studies that considered periodontal disease as the exposure factor and various systemic diseases as the outcome were included.The basic characteristics and pertinent data from the selected studies were extracted.The modified version of A Measurement Tool to Assess Systematic Reviews 2(AMSTAR 2)was employed for quality assessment,while R software was used for statistical analysis.Results:Among the 212 relevant systematic reviews and meta-analyses,57 were finally included in our analysis.These studies involved 75 diseases and 81 disease-related outcomes,with cancer(19/81)being the most frequently addressed topic.Of the 81 outcomes,67 demonstrated a significant association.Notably,the highest risk estimate was found for head and neck cancer[odds ratio(OR)=3.17,95%confidence interval(CI)1.78-5.64],while the lowest was observed for premature rupture of the amniotic sac[relative risk(RR)=1.10,95%CI 1.08-1.12].The methodological quality ratings indicated that approximately 71.93%of included studies were classified as“Critically low”,with another 17.54%rated as“Low”,and only about 10.53%categorized as“Moderate”.Conclusions:Periodontal disease significantly elevates the risks associated with 15 cancer-related,8 cardiovascular-related,8 metabolic-related,and 5 neurological-related outcomes.However,the overall methodological quality of existing systematic reviews and meta-analyses is generally suboptimal and requires enhancement to generate higher-quality evidence in the future.展开更多
Objective:To summarize evidence on the prevention and management of intradialytic hypotension in maintenance hemodialysis patients,providing reference for clinical practice.Method:Chinese and English databases,guideli...Objective:To summarize evidence on the prevention and management of intradialytic hypotension in maintenance hemodialysis patients,providing reference for clinical practice.Method:Chinese and English databases,guideline websites,and professional society websites were systematically searched for literature on intradialytic hypotension guidance,including clinical decisions,guidelines,evidence summaries,systematic reviews,and expert consensuses,from database inception to October 1,2024.Evidence was extracted after literature quality evaluation.Results:A total of 11 publications were included:2 clinical decisions,7 guidelines,1 systematic review,and 1 expert consensus.38 pieces of evidence were summarized across 4 themes:pre-dialysis assessment and prevention,monitoring and management during dialysis,medication use,and patient self-management.Conclusion:The best evidence for prevention and management of intradialytic hypotension in maintenance hemodialysis patients is scientific and comprehensive.Healthcare professionals are advised to apply this evidence judiciously in conjunction with clinical realities to ensure patient safety.展开更多
BACKGROUND Second-line treatment of Crohn’s disease(CD)commonly involves immunosuppressants such as azathioprine,mercaptopurine,or methotrexate(MTX),used either alone or in combination.AIM To investigate the current ...BACKGROUND Second-line treatment of Crohn’s disease(CD)commonly involves immunosuppressants such as azathioprine,mercaptopurine,or methotrexate(MTX),used either alone or in combination.AIM To investigate the current use of MTX among French gastroenterologists.METHODS An online questionnaire was distributed between March and August 2023 to 116 French gastroenterologists managing CD.A total of 87 respondents completed the survey and were included in the analysis.RESULTS Respondents reported a mean annual caseload of 140 CD patients(median:50).Overall,71%prescribed MTX,predominantly in injectable form(92%),either as monotherapy or in combination with biologics or cyclosporin.MTX was prescribed for mild-to-moderate CD by 64%of respondents,and for severe CD by 58%,often in combination with an anti-tumor necrosis factor agent(89%and 94%,respectively).Injectable MTX was favored(84%)in specific clinical scenarios:Patients with articular manifestations(77%),Epstein-Barr virus-negative status(65%),or aged over 65 years(58%).Among the 29%of non-prescribers,the primary reason cited was lack of familiarity with MTX use(60%).Both prescribers and non-prescribers expressed the need for clearer guidelines and real-world data to support MTX use.CONCLUSION Regardless of prescribing habits,most respondents had a favorable opinion of MTX and recognized its good longterm safety profile.French learned societies and medical associations should provide consensus guidelines on MTX use,supported by validated real-world safety and effectiveness data.展开更多
Objective:To explore the obstructive factors in the behavior of medical staff during the implementation of respiratory rehabilitation process,and to provide a basis for the rehabilitation management intervention of CO...Objective:To explore the obstructive factors in the behavior of medical staff during the implementation of respiratory rehabilitation process,and to provide a basis for the rehabilitation management intervention of COPD.Methods:A descriptive nature research method was adopted.An interview outline was formulated based on the theoretical domain framework.From October to December 2024,15 medical staff from the respiratory department of a tertiary hospital in Shaanxi Province were selected for semi-structured interviews.The interview data were analyzed using the Colaizzi 7-step analysis method.Result:The analysis of this study found that the obstructive factors for medical staff to implement respiratory rehabilitation include five theoretical domains.The problems are respectively the lack of knowledge about respiratory rehabilitation and insufficient training intensity,the insufficient self-recognition of implementing respiratory rehabilitation,the low awareness rate of patients and the low cooperation degree,the insufficient provision of instruments and facilities,the lack of rehabilitation training venues and respiratory rehabilitation clinics,and the lack of scientific and standardized respiratory rehabilitation management processes.Conclusion:There are many obstructive factors affecting the implementation of respiratory rehabilitation by medical staff.Clinical managers should take corresponding measures,continuously improve the rehabilitation management strategies for COPD,and promote the clinical application of the best evidence for respiratory rehabilitation.展开更多
基金supported in part by NUS startup grantthe National Natural Science Foundation of China (52076037)。
文摘Although many multi-view clustering(MVC) algorithms with acceptable performances have been presented, to the best of our knowledge, nearly all of them need to be fed with the correct number of clusters. In addition, these existing algorithms create only the hard and fuzzy partitions for multi-view objects,which are often located in highly-overlapping areas of multi-view feature space. The adoption of hard and fuzzy partition ignores the ambiguity and uncertainty in the assignment of objects, likely leading to performance degradation. To address these issues, we propose a novel sparse reconstructive multi-view evidential clustering algorithm(SRMVEC). Based on a sparse reconstructive procedure, SRMVEC learns a shared affinity matrix across views, and maps multi-view objects to a 2-dimensional humanreadable chart by calculating 2 newly defined mathematical metrics for each object. From this chart, users can detect the number of clusters and select several objects existing in the dataset as cluster centers. Then, SRMVEC derives a credal partition under the framework of evidence theory, improving the fault tolerance of clustering. Ablation studies show the benefits of adopting the sparse reconstructive procedure and evidence theory. Besides,SRMVEC delivers effectiveness on benchmark datasets by outperforming some state-of-the-art methods.
基金supported by the National Natural Science Foundation of China(61174022)the National High Technology Research and Development Program of China(863 Program)(2013AA013801)+2 种基金the Open Funding Project of State Key Laboratory of Virtual Reality Technology and Systems,Beihang University(BUAA-VR-14KF-02)the General Research Program of the Science Supported by Sichuan Provincial Department of Education(14ZB0322)the Fundamental Research Funds for the Central Universities(XDJK2014D008)
文摘Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality mea- sure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degree centrality, betweenness centra- lity and closeness centrality are taken into consideration in the proposed method. Numerical examples are used to illustrate the effectiveness of the proposed method.
基金supported by National Natural Science Foundation of China(Nos.71131002,71071045,71231004 and 71201042)
文摘In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning(ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.
基金Under the auspices of National Natural Science Foundation of China (No.40871188)Knowledge Innovation Programs of Chinese Academy of Sciences (No.INFO-115-C01-SDB4-05)
文摘Land cover classification is the core of converting satellite imagery to available geographic data.However,spectral signatures do not always provide enough information in classification decisions.Thus,the application of multi-source data becomes necessary.This paper presents an evidential reasoning (ER) approach to incorporate Landsat TM imagery,altitude and slope data.Results show that multi-source data contribute to the classification accuracy achieved by the ER method,whereas play a negative role to that derived by maximum likelihood classifier (MLC).In comparison to the results derived based on TM imagery alone,the overall accuracy rate of the ER method increases by 7.66% and that of the MLC method decreases by 8.35% when all data sources (TM plus altitude and slope) are accessible.The ER method is regarded as a better approach for multi-source image classification.In addition,the method produces not only an accurate classification result,but also the uncertainty which presents the inherent difficulty in classification decisions.The uncertainty associated to the ER classification image is evaluated and proved to be useful for improved classification accuracy.
基金co-supported by the National Natural Science Foundation of China (No. 61833016)the Shaanxi Outstanding Youth Science Foundation,China (No. 2020JC-34)the Shaanxi Science and Technology Innovation Team,China(No. 2022TD-24)
文摘Evidential Reasoning(ER)rule,which can combine multiple pieces of independent evidence conjunctively,is widely applied in multiple attribute decision analysis.However,the assumption of independence among evidence is often not satisfied,resulting in ER rule inapplicable.In this paper,an Evidential Reasoning rule for Dependent Evidence combination(ERr-DE)is developed.Firstly,the aggregation sequence of multiple pieces of evidence is determined according to evidence reliability.On this basis,a calculation method of evidence Relative Total Dependence Coefficient(RTDC)is proposed using the distance correlation method.Secondly,as a discounting factor,RTDC is introduced into the ER rule framework,and the ERr-DE model is formulated.The aggregation process of two pieces of dependent evidence by ERr-DE is investigated,which is then generalized to aggregate multiple pieces of non-independent evidence.Thirdly,sensitivity analysis is carried out to investigate the relationship between the model output and the RTDC.The properties of sensitivity coefficient are explored and mathematically proofed.The conjunctive probabilistic reasoning process of ERr-DE and the properties of sensitivity coefficient are verified by two numerical examples respectively.Finally,the practical application of the ERr-DE is validated by a case study on the performance assessment of satellite turntable system.
基金Project(71201170)supported by the National Natural Science Foundation of China
文摘In order to overcome the limitations of traditional methods in uncertainty analysis, a modified Bayesian network(BN), which is called evidence network(EN), was proposed with evidence theory to handle epistemic uncertainty in probabilistic risk assessment(PRA). Fault trees(FTs) and event trees(ETs) were transformed into an EN which is used as a uniform framework to represent accident scenarios. Epistemic uncertainties of basic events in PRA were presented in evidence theory form and propagated through the network. A case study of a highway tunnel risk analysis was discussed to demonstrate the proposed approach. Frequencies of end states are obtained and expressed by belief and plausibility measures. The proposed approach addresses the uncertainties in experts' knowledge and can be easily applied to uncertainty analysis of FTs/ETs that have dependent events.
文摘Since the 12th Five-Year Program,China textile industry has maintained a sustained,steady and sound development with the expanding scale of industrial volume,effective implementation of science and technology,brands,sustainable development,qualified personnel and other important strategies as well as the promotion of constructing the powerful textile country strategy.However,as the great changes took place in external macro situation and internal development pattern,the economic growth
基金supported by the National Natural Science Foundation of China(6167138461703338)+2 种基金the Natural Science Basic Research Plan in Shaanxi Province of China(2016JM6018)the Project of Science and Technology Foundationthe Fundamental Research Funds for the Central Universities(3102017OQD020)
文摘Dempster-Shafer evidence theory(DS theory) is widely used in brain magnetic resonance imaging(MRI) segmentation,due to its efficient combination of the evidence from different sources. In this paper, an improved MRI segmentation method,which is based on fuzzy c-means(FCM) and DS theory, is proposed. Firstly, the average fusion method is used to reduce the uncertainty and the conflict information in the pictures. Then, the neighborhood information and the different influences of spatial location of neighborhood pixels are taken into consideration to handle the spatial information. Finally, the segmentation and the sensor data fusion are achieved by using the DS theory. The simulated images and the MRI images illustrate that our proposed method is more effective in image segmentation.
基金supported by the National Basic Research Program of China(2013CB733002)
文摘This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential Petri net (EPN) model is used in knowledge inference and reliability analysis of complex mechanical systems. The EPN could take epistemic uncertainty such as interval information, subjective information into account by applying D-S evidence quantification theory. A dynamic representation model is also proposed based on the dynamic operation rules of the EPN model, and an improved artificial bee colony (ABC) algorithm is employed to proceed optimization calculation during the complex systems' learning process. The improved ABC algorithm and D-S evidence theory overcome the disadvantage of extremely subjective in traditional knowledge inference efficiently and thus could improve the accuracy of the EPN learning model. Through a simple numerical case and a satellite driving system analysis, this paper proves the superiority of the EPN and the dynamic knowledge representation method in reliability analysis of complex systems.
文摘Xinjiang has undergone significant changes in recent years.Government efforts to create a peaceful environment are visibly yielding results.Once rife with conflict,the region now enjoys stability and growth.A sense of calm and safety is evident on its streets,which are now brimming with commerce and culture.
基金supported by the China Postdoctoral Science Foundation(Grant No.2021M703366)Shenzhen Science and Technology Program(Grant No.KQTD20190929172835662).
文摘Objective Observational studies have found associations between inflammatory bowel disease(IBD)and the risk of dementia,including Alzheimer’s dementia(AD)and vascular dementia(VD);however,these findings are inconsistent.It remains unclear whether these associations are causal.Methods We conducted a meta-analysis by systematically searching for observational studies on the association between IBD and dementia.Mendelian randomization(MR)analysis based on summary genome-wide association studies(GWASs)was performed.Genetic correlation and Bayesian colocalization analyses were used to provide robust genetic evidence.Results Ten observational studies involving 80,565,688 participants were included in this metaanalysis.IBD was significantly associated with dementia(risk ratio[RR]=1.36,95%CI=1.04-1.78;I2=84.8%)and VD(RR=2.60,95%CI=1.18-5.70;only one study),but not with AD(RR=2.00,95%CI=0.96-4.13;I^(2)=99.8%).MR analyses did not supported significant causal associations of IBD with dementia(dementia:odds ratio[OR]=1.01,95%CI=0.98-1.03;AD:OR=0.98,95%CI=0.95-1.01;VD:OR=1.02,95%CI=0.97-1.07).In addition,genetic correlation and co-localization analyses did not reveal any genetic associations between IBD and dementia.Conclusion Our study did not provide genetic evidence for a causal association between IBD and dementia risk.The increased risk of dementia observed in observational studies may be attributed to unobserved confounding factors or detection bias.
基金supported by the Second Qinghai-Xizang Plateau Scientific Expedition and Research Program(2024QZKK0200,2019QZKK05010100)Survey of Wildlife Resources in Key Areas of Xizang(ZL202203601,ZL202303601)。
文摘Birch mice(family Sicistidae)are small dipodoid rodents distributed in regions surrounding the Qinghai-Xizang Plateau and extending across the Palearctic.In China,members of the genus Sicista are rarely recorded,and their systematics remain poorly resolved.As part of the Second Xizang Plateau Expedition by the Kunming Institute of Zoology,Chinese Academy of Sciences,systematic surveys conducted in southern Xizang and the western Tianshan Mountains yielded two previously unrecognized species.Two specimens from southern Xizang were found to occupy a deeply divergent phylogenetic position within Sicistidae.Morphological assessments and molecular phylogenetic analyses of both extant and fossil Sicistidae,along with total-evidence dating and ancestral distribution reconstruction,identified these specimens as representatives of an ancient extant lineage that diverged from Sicista approximately 20.38 million years ago.This lineage is designated as a new genus,defined by the new species Breviforamen shannanensis gen.et sp.nov.Furthermore,11 specimens from the Tianshan Mountains are described as a second new species,Sicista brevicauda sp.nov.,based on diagnostic morphological and genetic features.Ancestral distribution reconstructions,combined with fossil records,indicate an early Miocene origin for Sicistidae across a broad region spanning the“Gobi”Desert to parts of North America.Climatic deterioration and increasing desertification during the mid-Miocene likely drove southward dispersal of Breviforamen gen.nov.into southern Xizang prior to the complete formation of the Yarlung Zangbo River.Overall,these findings broaden current understanding of Sicistidae diversity,elucidate the origin and dispersal patterns of the family,and highlight the presence of an ancient relict lineage in China.
基金supported by the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-C-202006)the High-level traditional Chinese medicine key subject construction project of National Administration of Traditional Chinese Medicine-Evidence-based Traditional Chinese Medicine(ZYYZDXK-2023249).
文摘Background:The bibliometrics of acupuncture are growing rapidly.However,the absence of reporting guidelines may lead to significant duplication and waste,thereby undermining the research’s value.To address this,a knowledge mapping was generated based on published studies to investigate the characteristics of bibliometric studies on acupuncture and the extent of duplicate publications,with the overarching goal of providing a comprehensive overview of the knowledge structure in this field.Methods:This cross-sectional study used three databases(PubMed,Web of Science,and Scopus)to identify relevant studies up to May 1,2024.In addition,the reference lists were retrieved as a supplement.To track research trends,we employed Microsoft Excel and R software to extract,code,and analyze information.Study selection,data extraction,and validation were performed independently by at least two reviewers.The reporting quality of included studies was assessed using the Preliminary guideline for reporting bibliometric reviews of the biomedical literature(BIBLIO).Results:Among the 6,221 bibliometric reviews examined,113 relevant publications were identified,80 focusing on various diseases/conditions.The annual number of publications has gradually increased,with the output in the past four years being 3.52 times higher than that before 2020.China(106)and Chengdu University of Traditional Chinese Medicine(16)have the highest number of publications.The most prolific author is Fan-Rong Liang,with six articles.The first bibliometric study,by Hai-Yan Li,was published in 2010.Journal of Pain Research,with 36 articles,holds the most publications.The top three diseases:diseases of the nervous system;symptoms,signs,or clinical findings not elsewhere classified;and mental,behavioral,or neurodevelopmental disorders.There may be potential duplication in research on 13 diseases/conditions,notably stroke,migraine,pain/analgesia,cancer pain,shoulder pain,facial paralysis/bell’s palsy,chronic pain,and cognitive impairment.In BIBLIO,the most frequently missing items are issues/topics(item 2),quality assessment(item 11),and descriptive findings(item 13).Conclusion:This study demonstrates that acupuncture bibliometrics is actively utilized to identify dominant diseases/conditions,aiding scholars in understand the knowledge structure and main topics.Although the number of related studies is increasing,with an average of 25 studies annually,overlap in some areas highlights the need for adherence to reporting guidelines and careful topic selection to ensure truly valuable insights and knowledge contributions.The adherence to BIBLIO’s 20 proposed items across analyzed articles,highlighting important in reporting practices.
基金Supported by Sichuan Province science and technology education joint fund project:2024NSFSC1976Science and Technology Research Project of Sichuan Ad-ministration of Traditional Chinese Medicine:2021MS320.
文摘High-quality clinical evidence is the basis of evidence-based medical practice.Acupuncture is the most widely used complementary and alternative medicine in the world.However,the improvement in the quality of acupuncture clinical research does not match the rapid increase in the number of acupuncture clinical research in recent years.At present,the number of high-quality acupuncture clinical research in the world remains low.Taking the trial of acupuncture for chronic spontaneous urticaria published in Annals of Internal Medicine as an example,this paper discusses the factors that contribute to producing high-quality clinical evidence for acupuncture from the aspects of selecting the topic of study,formulating the study method,designing the study plan,controlling the study process,writing the study report,and selecting the journal in the process of before,during,and after the research.It emphasizes the necessity to start from the benefit of global people's health,take practical clinical problems as guidance,cleverly choose the research entry point,and conduct high-quality research with clinical value.After the accomplishment of the study,the results must be faithfully described,the scientific conclusions accurately sublimated,and appropriate scientific journals selected for publication.
文摘Depression is a complex mental health disorder that significantly impairs quality of life and affects millions globally.Emerging evidence underscores a potential link between macronutrient imbalances and depression onset or progression.This review explores how macronutrients—carbohydrates,fats,and proteins—may influence depressive symptoms.For example,excessive sugar consumption is associated with heightened depressive risk,likely due to its effects on insulin resistance and inflammation.Conversely,sufficient protein intake appears to mitigate depression risk,with studies reporting that a 10%increase in caloric intake from protein correlates with a significant reduction in depression prevalence.However,diets rich in saturated fats and proteins may slightly elevate depressive risk.This review emphasizes the critical importance of dietary balance in promoting mental health.Although some studies have suggested that maintaining specific macronutrient ratios may be associated with a reduced risk of depression,given the diversity of evidence and contradictory findings among studies,further research is needed to clarify the exact effects.Future research should aim to elucidate the molecular mechanisms underlying these associations,providing a robust foundation for dietary interventions in the prevention and treatment of depression.
基金supported by a Grant-inAid for Scientific Research(KAKENHI)from the Japan Society for the Promotion of Science(grant no.22J23183)。
文摘Climate change is a pressing global environmental issue^([1]).The gradual rise in global surface temperature is the most immediate and direct among its public health impacts.Influenza,the leading cause of human respiratory viral infections,remains a substantial public health concern owing to its considerable disease burden,particularly in highrisk groups.Mounting epidemiological evidence has linked influenza to extreme heat and cold weather^([2–4]).
基金supported by the Lanzhou Science and Technology Project(2022-3-8)the Natural Science Foundation of Chongqing(CSTB2024NSCQMSX0043 and cstc2020jcyj-msxmX0079)the Key Scientific Research Project of Education Department of Henan Province(22A320038).
文摘Background:Numerous systematic reviews and meta-analyses have been published that evaluate the association between periodontal disease and systemic diseases,many of which address similar topics.Moreover,their quality requires assessment.Therefore,we performed a cross-sectional analysis to examine the evidence on the relationship between periodontal disease and systemic diseases.Methods:The PubMed,Embase,Web of Science,and the Cochrane Library databases were systematically searched to identify relevant systematic reviews and meta-analyses.Only studies that considered periodontal disease as the exposure factor and various systemic diseases as the outcome were included.The basic characteristics and pertinent data from the selected studies were extracted.The modified version of A Measurement Tool to Assess Systematic Reviews 2(AMSTAR 2)was employed for quality assessment,while R software was used for statistical analysis.Results:Among the 212 relevant systematic reviews and meta-analyses,57 were finally included in our analysis.These studies involved 75 diseases and 81 disease-related outcomes,with cancer(19/81)being the most frequently addressed topic.Of the 81 outcomes,67 demonstrated a significant association.Notably,the highest risk estimate was found for head and neck cancer[odds ratio(OR)=3.17,95%confidence interval(CI)1.78-5.64],while the lowest was observed for premature rupture of the amniotic sac[relative risk(RR)=1.10,95%CI 1.08-1.12].The methodological quality ratings indicated that approximately 71.93%of included studies were classified as“Critically low”,with another 17.54%rated as“Low”,and only about 10.53%categorized as“Moderate”.Conclusions:Periodontal disease significantly elevates the risks associated with 15 cancer-related,8 cardiovascular-related,8 metabolic-related,and 5 neurological-related outcomes.However,the overall methodological quality of existing systematic reviews and meta-analyses is generally suboptimal and requires enhancement to generate higher-quality evidence in the future.
文摘Objective:To summarize evidence on the prevention and management of intradialytic hypotension in maintenance hemodialysis patients,providing reference for clinical practice.Method:Chinese and English databases,guideline websites,and professional society websites were systematically searched for literature on intradialytic hypotension guidance,including clinical decisions,guidelines,evidence summaries,systematic reviews,and expert consensuses,from database inception to October 1,2024.Evidence was extracted after literature quality evaluation.Results:A total of 11 publications were included:2 clinical decisions,7 guidelines,1 systematic review,and 1 expert consensus.38 pieces of evidence were summarized across 4 themes:pre-dialysis assessment and prevention,monitoring and management during dialysis,medication use,and patient self-management.Conclusion:The best evidence for prevention and management of intradialytic hypotension in maintenance hemodialysis patients is scientific and comprehensive.Healthcare professionals are advised to apply this evidence judiciously in conjunction with clinical realities to ensure patient safety.
文摘BACKGROUND Second-line treatment of Crohn’s disease(CD)commonly involves immunosuppressants such as azathioprine,mercaptopurine,or methotrexate(MTX),used either alone or in combination.AIM To investigate the current use of MTX among French gastroenterologists.METHODS An online questionnaire was distributed between March and August 2023 to 116 French gastroenterologists managing CD.A total of 87 respondents completed the survey and were included in the analysis.RESULTS Respondents reported a mean annual caseload of 140 CD patients(median:50).Overall,71%prescribed MTX,predominantly in injectable form(92%),either as monotherapy or in combination with biologics or cyclosporin.MTX was prescribed for mild-to-moderate CD by 64%of respondents,and for severe CD by 58%,often in combination with an anti-tumor necrosis factor agent(89%and 94%,respectively).Injectable MTX was favored(84%)in specific clinical scenarios:Patients with articular manifestations(77%),Epstein-Barr virus-negative status(65%),or aged over 65 years(58%).Among the 29%of non-prescribers,the primary reason cited was lack of familiarity with MTX use(60%).Both prescribers and non-prescribers expressed the need for clearer guidelines and real-world data to support MTX use.CONCLUSION Regardless of prescribing habits,most respondents had a favorable opinion of MTX and recognized its good longterm safety profile.French learned societies and medical associations should provide consensus guidelines on MTX use,supported by validated real-world safety and effectiveness data.
基金Shaanxi Provincial People’s Hospital Science and Technology Development Incubation Fund Program 2023(Project No.:2023HL-12)。
文摘Objective:To explore the obstructive factors in the behavior of medical staff during the implementation of respiratory rehabilitation process,and to provide a basis for the rehabilitation management intervention of COPD.Methods:A descriptive nature research method was adopted.An interview outline was formulated based on the theoretical domain framework.From October to December 2024,15 medical staff from the respiratory department of a tertiary hospital in Shaanxi Province were selected for semi-structured interviews.The interview data were analyzed using the Colaizzi 7-step analysis method.Result:The analysis of this study found that the obstructive factors for medical staff to implement respiratory rehabilitation include five theoretical domains.The problems are respectively the lack of knowledge about respiratory rehabilitation and insufficient training intensity,the insufficient self-recognition of implementing respiratory rehabilitation,the low awareness rate of patients and the low cooperation degree,the insufficient provision of instruments and facilities,the lack of rehabilitation training venues and respiratory rehabilitation clinics,and the lack of scientific and standardized respiratory rehabilitation management processes.Conclusion:There are many obstructive factors affecting the implementation of respiratory rehabilitation by medical staff.Clinical managers should take corresponding measures,continuously improve the rehabilitation management strategies for COPD,and promote the clinical application of the best evidence for respiratory rehabilitation.
