Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray im...Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray images of different races model can have better adaptability,we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA.In this study,a lightweight feature extractor(LFE)is designed to obtain the featuremaps fromradiographs,and amodule called attention erasermodule(AEM)is proposed to capture the fine-grained features.Meanwhile,the dimensional information of the metacarpal parts in the radiographs is measured to enhance the model’s generalization capability across images fromdifferent races.Ourmodel is trained and validated on the RSNA,RHPE,and digital hand atlas datasets,which include images from various racial groups.The model achieves a mean absolute error(MAE)of 4.42 months on the RSNA dataset and 15.98 months on the RHPE dataset.Compared to ResNet50,InceptionV3,and several state-of-the-art methods,our proposed method shows statistically significant improvements(p<0.05),with a reduction in MAE by 0.2±0.02 years across different racial datasets.Furthermore,t-tests on the features also confirm the statistical significance of our approach(p<0.05).展开更多
To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply rel...To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.展开更多
One of the most promising vector control strategies for controlling dengue fever is the stable introduction of the obligate intracellular Wolbachia bacteria strain into Aedes aegypti mosquitoes. This method reduces th...One of the most promising vector control strategies for controlling dengue fever is the stable introduction of the obligate intracellular Wolbachia bacteria strain into Aedes aegypti mosquitoes. This method reduces the mosquito’s ability to transmit dengue through reproductive strategies associated with Wolbachia infection, such as parthenogenesis, male elimination or feminization, sex ratio distortions and cytoplasmic incompatibility. Expert knowledge and a risk assessment framework were used to identify the risks associated with the release of Wolbachia-bearing mosquitoes. Then, consultations with individual participants were organized and a Bayesian network (BN) was developed to capture the relationship between the hazards as well as the likelihood of these adverse events occurring. Finally, risk was calculated from the probability and consequence estimates obtained from our Burkina Faso participants, using a questionnaire based on the identified risks. Our “Cause More Harm” study yielded 46.15% negligible risk, 44.23% very low risk and 9.62% low risk. The “socio-cultural change” parameter had the greatest influence, with the perception that the dissemination project would be poorly received by the local population. This parameter alone accounted for 80% of the most significant risks. This explains the fact that hazard RA 49 “negative messages in social media” is ranked as the highest individual risk (although the risk is low) with a calculated risk of 0.261. The risk assessment was designed to integrate the interdependent complexity of hazards likely to affect the dissemination of technology in the environment. It represents an important implementation phase in the success of this innovative research, introducing a new technology to combat the transmission of dengue fever.展开更多
Flood extremes due to sea level rise and extreme precipitation are expected to increase in frequency and intensity. However, despite the need for accurate climate change risk assessment, significant misconceptions in ...Flood extremes due to sea level rise and extreme precipitation are expected to increase in frequency and intensity. However, despite the need for accurate climate change risk assessment, significant misconceptions in key risk terms, including vulnerability and impact, could lead to risk miscalculations. These misconceptions around risk concepts derive from the lack of risk terms’ standardization and the gaps in an integrated and widely accepted methodology for assessing climate change risks. Risk assessment frameworks should follow the specialties of each element/sector it is applied on and the special features of each climate hazard. Also, risk assessment matrix should not follow specific design settings but it should better follow the needs of each study, so as to optimize the understanding of each risk. Through an extensive literature review, this is the first paper that identifies gaps, inconsistencies and misuses of climate risk concepts and suggests specific systemization and standardization of risk terms definitions. Finally, it develops a climate change risk assessment framework and matrix, focusing on sea level rise and extreme precipitation, which could be widely implemented in risk assessment of all elements at sea level rise and extreme precipitation risk.展开更多
Objective: Physical assessment is an indispensable and pivotal skill that nurses must aptly monitor, evaluate, and deliver timely care, particularly in the context of critically ill patients. However, studies have rev...Objective: Physical assessment is an indispensable and pivotal skill that nurses must aptly monitor, evaluate, and deliver timely care, particularly in the context of critically ill patients. However, studies have revealed instances where nurses demonstrate inaccurate practices. This study is aimed to measure the physical assessment skills of critical care nurses and the differences between levels of nursing education. Methods: A descriptive cross-sectional study was conducted involving a simple random sample of 101 nurses employed in critical care units. Results: Of the 101 participants, 56.4% were identified as female and 43.6% were male. In the sample, 71.0% held a diploma in nursing, while 29.0% held a Bachelor of Science in Nursing (BSN). Vital signs, orientation, and skin assessments were performed correctly in ≥90% of cases, whereas the majority (≥60%) did not correctly assess neck veins, Homan’s signs, breath sounds, heart sounds, and bowel sounds. Only ≤10% of participants accurately executed these assessments. Significant associations were found between sex and pain (P=0.034), as well as between the type of education and closure of the health assessment (P=0.041). Further, female nurses scored 10.0 ± 2.3, and male nurses 8.5 ± 2.5, diploma holders scored 9.4 ± 1.8, and BSN holders scored 9.3 ± 2.7 at the global rating. Conclusions: The presence of an existing gap in the accurate assessment of patients poses a potential risk to patient care. It is essential to investigate the factors contributing to this gap and to develop strategies to address it, thereby enhancing the quality of physical assessment and ultimately improving patient care.展开更多
Publications of Soufan et al and Kristjánsson et al in the World Journal of Orthopedics on mesenchymal stem cell(MSC)therapy for osteoarthritis(OA)represent a significant exploration of regenerative medicine’s p...Publications of Soufan et al and Kristjánsson et al in the World Journal of Orthopedics on mesenchymal stem cell(MSC)therapy for osteoarthritis(OA)represent a significant exploration of regenerative medicine’s potential in OA treatment.In their research,it is highlighted that MSCs can alleviate OA symptoms and even regenerate cartilage,potentially reversing the disease.They also compared the efficacy of three MSC subtypes,emphasizing the therapeutic advantages of adipose-derived MSCs.MSC injections,a novel and less invasive alternative to traditional treatments such as chondrocyte transplantation or arthroplasty,have a low cost,low risks,and favorable outcomes,presenting a promising approach for OA patients.Additionally,we stressed that the efficacy evaluation criteria,heterogeneity,safety,and other factors must be carefully considered to further advance the clinical translation of MSC therapy for OA.展开更多
Objective:This study aimed to systematically evaluate the measurement characteristics and methodological quality of childbirth experience assessment tools,with a view to informing the selection of healthcare professio...Objective:This study aimed to systematically evaluate the measurement characteristics and methodological quality of childbirth experience assessment tools,with a view to informing the selection of healthcare professionals who can provide high-quality assessment tools.Method:A systematic search was performed on specific databases:PubMed,Web of Science,Embase,CINAHL,SinoMed,China National Knowledge Infrastructure(CNKI),and Wanfang,from inception to February 29,2024.The researchers retrieved studies on the measurement attributes of the childbirth experience assessment tool,and traced back the references of the included studies to supplement relevant literature.According to the inclusion and exclusion criteria,screening and data extraction were independently undertaken by two reviewers.Two researchers individually used the Consensus-based Standards for the Selection of Health Measurement Instruments(COSMIN)Risk of Bias Checklist to assess the methodological quality of the scale,applied the COSMIN criteria to evaluate the measurement properties of the scale,and used a modified Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)system to assess the certainty of evidence.Result:A total of 15 studies were included to evaluate the psychometric properties of 11 childbirth experience assessment tools(including different language versions).Eight studies’methodological quality of content validity was doubtful,and the remaining studies did not report content validity.None of the tools reported measurement error,cross-cultural validity,or responsiveness.In light of the questionable or unreported content validity of the tools,the evidence quality was deemed moderate or below.Consequently,the 11 assessment tools were recommended as grade B.Conclusion:In contrast,the Questionnaire for Assessing the Childbirth Experience(QACE)is recommended for provisional use,given its relatively good methodological and measurement attributes and appropriate content for evaluation.However,further validation of other measurement properties is needed.展开更多
Professional and trade skills are required for handling the construction related projects;Construction industries of the present day however lack useful information concerning different practices,patterns and trends i...Professional and trade skills are required for handling the construction related projects;Construction industries of the present day however lack useful information concerning different practices,patterns and trends involved in risk management.Considering this,the present study focuses on the aforementioned variables of risk management by quantitative analysis specifically in the domain of construction industry.This study has used IBM’s SPSS(Statistical Package for Social Sciences)version 25.0 to analyze the results.This study is an initiative to assess the impact of risk management in the construction sector of Jordan.It will assist the construction sector for exploring the limitations with respect to integrate effective risk management.A sense of competition will be developed through a comparison of risk factors of construction projects among the project stakeholders such as contractors should enhance their risk management practices.展开更多
[Objectives]To assess the carbon sink capacity in seawater suspension cage aquaculture of shellfish in Tianjin from 2015 to 2022.[Methods]The carbon sink capacity of different shellfish species was evaluated using bot...[Objectives]To assess the carbon sink capacity in seawater suspension cage aquaculture of shellfish in Tianjin from 2015 to 2022.[Methods]The carbon sink capacity of different shellfish species was evaluated using both physical and value assessment methods.[Results]The shellfish cultivated in seawater suspension cages in Tianjin exhibited a significant capacity for carbon sinks.The amounts of carbon removed by suspension cage aquaculture of Rapana venosa,Crassostrea gigas,Scapharca subcrenata,Scapharca broughtonii and Argopectens irradias were 448.297,403.398,89.463,40.657,and 106.719 t,respectively.Furthermore,the total volume of shellfish cultivated in seawater exhibited a consistent upward trend over time,correlating with an annual increase in the amount of carbon removed.Among the shellfish cultivated in seawater suspension cages,the order of carbon sink capacity was as follows:C.gigas>R.venosa>A.irradias>S.subcrenata and S.broughtonii.In terms of the carbon sink capacity of soft tissues,the ranking was as follows:A.irradias>R.venosa>C.gigas>S.subcrenata and S.broughtonii.The structural and yield factors associated with seawater suspension cage aquaculture of shellfish significantly influenced the enhancement of the total carbon sink of cultivated shellfish.Notably,structural factors had a greater impact on the increase in the carbon sink of cultivated shellfish compared to total yield factors.[Conclusions]The findings will serve as a reference for enhancing the carbon sink potential of fisheries and achieving sustainable development in seawater aquaculture in Tianjin.展开更多
After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design ch...After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.展开更多
This paper presents a standardised workflow for conducting hazard assessments of mass wasting processes in remote mountain areas with limited data.The methodology integrates geomorphological mapping and remote sensing...This paper presents a standardised workflow for conducting hazard assessments of mass wasting processes in remote mountain areas with limited data.The methodology integrates geomorphological mapping and remote sensing techniques and is adaptable to different national standards,thus ensuring its applicability in a variety of contexts.The principal objective is to guarantee the safety of mountainous regions,particularly in the vicinity of essential infrastructure,where the scope for implementing structural measures is restricted.The framework commences with comprehensive geomorphological mapping,which facilitates the identification of past hazardous processes and potential future hazards.New technologies,such as uncrewed aerial vehicles(UAVs),are employed to create high-resolution DEMs,which are particularly beneficial in regions with limited data availability.These models facilitate the assessment of potential hazards and inform decisions regarding protective measures.The utilisation of UAVs enhances the accuracy and efficiency of data collection,particularly in remote mountainous regions where alternative remotely sensed information may be unavailable.The integration of modern approaches into traditional hazard assessment methods allows for a comprehensive analysis of the spatial distribution of factors driving mass wasting processes.This workflow provides valuable insights that assist in the prioritisation of interventions and the optimisation of risk reduction in high mountainous areas.展开更多
Assessment is a crucial aspect of the teaching process for teachers.Teachers’assessment literacy is closely related to students’learning outcomes.The language assessment literacy of foreign language teachers is a si...Assessment is a crucial aspect of the teaching process for teachers.Teachers’assessment literacy is closely related to students’learning outcomes.The language assessment literacy of foreign language teachers is a significant component of both teachers’professional development and students’learning,and it has become a research hotspot in the field of domestic language testing.Based on clarifying the theoretical framework of language assessment literacy,this paper proposes the main cultivation paths for pre-service English teachers’language assessment literacy,aiming to provide inspiration and references for the cultivation,reform,and development of teachers in basic foreign language education.展开更多
The agricultural Internet of Things(IoT)system is a critical component of modern smart agriculture,and its security risk assessment methods have garnered increasing attention from the industry.Current agricultural IoT...The agricultural Internet of Things(IoT)system is a critical component of modern smart agriculture,and its security risk assessment methods have garnered increasing attention from the industry.Current agricultural IoT security risk assessment methods primarily rely on expert judgment,introducing subjective factors that reduce the credibility of the assessment results.To address this issue,this study constructed a dataset for agricultural IoT security risk assessment based on real-world security reports.A PCARF algorithm,built on random forest principles,was proposed,incorporating ensemble learning strategies to enhance prediction accuracy.Compared to the second-best model,the proposed model demonstrated a 2.7%increase in accuracy,a 3.4%improvement in recall rate,a 3.1%rise in Area Under the Curve(AUC),and a 7.9%boost in Matthews Correlation Coefficient(MCC).Extensive comparative experiments showed that the proposed model outperforms others in prediction accuracy and robustness.展开更多
To describe and analyze the current status of benefit-finding research in patients with chronic diseases and to provide a reference for clinical practice and future research in this field.Using Arksey and O’Malley’s...To describe and analyze the current status of benefit-finding research in patients with chronic diseases and to provide a reference for clinical practice and future research in this field.Using Arksey and O’Malley’s scoping review methodology as a framework,we searched PubMed,Web of Science,Science Direct,and CINAHL(4 English databases);and China National Knowledge Infrastructure,the VIP Database for Chinese Technical Periodicals,the Wan Fang Database and China Biomedical Database(4 Chinese databases)for literature on benefit finding in patients with chronic diseases,with a search time frame of construction to April 20,2024,and the literature was screened,extracted,and summarized.A total of 44 papers were included,comprising 18 in Chinese and 26 in English.Among them,a total of 19 assessment tools were used,and the influential factors investigated were categorized into socio-demographic characteristics,disease-related characteristics,psychological and behavioral characteristics,coping styles,and social support.Benefit finding is found to be a positive psychological experience and important for patients with chronic diseases,and the influencing factors are complex and diverse,with a wide range of assessment tools.However,domestic tools lack autonomy and specificity.Clinical caregivers and staff should develop relevant assessment tools and formulate a personalized research plan based on the characteristics of patients with chronic diseases in China to promote the adoption of healthy lifestyles by patients with chronic diseases,improve their self-management ability,and provide a practical basis for improving the quality of life of patients with chronic diseases.展开更多
To quantify the seismic resilience of buildings,a method for evaluating functional loss from the component level to the overall building is proposed,and the dual-parameter seismic resilience assessment method based on...To quantify the seismic resilience of buildings,a method for evaluating functional loss from the component level to the overall building is proposed,and the dual-parameter seismic resilience assessment method based on postearthquake loss and recovery time is improved.A threelevel function tree model is established,which can consider the dynamic changes in weight coefficients of different category of components relative to their functional losses.Bayesian networks are utilized to quantify the impact of weather conditions,construction technology levels,and worker skill levels on component repair time.A method for determining the real-time functional recovery curve of buildings based on the component repair process is proposed.Taking a three-story teaching building as an example,the seismic resilience indices under basic earthquakes and rare earthquakes are calculated.The results show that the seismic resilience grade of the teaching building is comprehensively judged as GradeⅢ,and its resilience grade is more significantly affected by postearthquake loss.The proposed method can be used to predict the seismic resilience of buildings prior to earthquakes,identify weak components within buildings,and provide guidance for taking measures to enhance the seismic resilience of buildings.展开更多
Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of th...Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of the DNN-based BIQA model.This work validates the natural instability of MOS through investigating the neuropsychological characteristics inside the human visual system during quality perception.By combining persistent homology analysis with electroencephalogram(EEG),the physiologically meaningful features of the brain responses to different distortion levels are extracted.The physiological features indicate that although volunteers view exactly the same image content,their EEG features are quite varied.Based on the physiological results,we advocate treating MOS as noisy labels and optimizing the DNN based BIQA model with earlystop strategies.Experimental results on both innerdataset and cross-dataset demonstrate the superiority of our optimization approach in terms of generalization ability.展开更多
Climate change and rising temperatures are accelerating the rate of deglaciation in the Hindu Kush Karakoram Himalaya(HKH)ranges,leading to the formation of new glacial lakes and the expansion of existing ones.These l...Climate change and rising temperatures are accelerating the rate of deglaciation in the Hindu Kush Karakoram Himalaya(HKH)ranges,leading to the formation of new glacial lakes and the expansion of existing ones.These lakes are often vulnerable to failure,posing a significant threat to downstream communities and infrastructure.Therefore,a comprehensive assessment of Glacier-Lake Outburst Flood(GLOF)hazards and risk assessment is crucial to evaluate flood runout characteristics and identify settlements and infrastructure that are exposed and vulnerable to floods,aiding in the development and implementation of risk reduction strategies.This study aims to simulate a GLOF event induced by the Shisper glacier lake in northern Pakistan,using the HEC-RAS,and to assess its impact on settlements,infrastructure,and agricultural land.For the hydrometeorological analysis of the GLOF event,topographic data from unmanned aerial vehicles(UAVs),stream profiles,discharge data,Manning's roughness coefficient(n),and land use/land cover(LULC)were analyzed using HEC-RAS and geographic information system(GIS).During the GLOF event on May 7,2022,a maximum water depth of 6.3 m and a maximum velocity of 9.5 m/s were recorded.Based on the runout characteristics of this event,vulnerability and risk assessments have been calculated.The physical,social,and environmental vulnerabilities of the at-risk elements were evaluated using the analytical hierarchy process(AHP)and integrated with the hazard data to develop a risk map.The study identified the areas,infrastructure and settlements susceptible to GLOF hazard to support the development and implementation of targeted and evidence-based mitigation and adaptation strategies.展开更多
This study aims to build a value assessment framework applicable to Chinese health-care institutions for antineoplastic agents in the context of diagnosis related group(DRG).This study constructed the value assessment...This study aims to build a value assessment framework applicable to Chinese health-care institutions for antineoplastic agents in the context of diagnosis related group(DRG).This study constructed the value assessment framework through literature research,Delphi expert consultation method,and analytic hierarchy process(AHP).This study used internal consistency reliability to test the reliability of the constructed framework.Exploratory factor analysis(EFA)and validation factor analysis were used for the validity test.Then,the level stratification of the indicators was set based on the literature data,and the value function of each indicator was constructed using the measuring attractiveness by a categorical based assessment technique method to construct a quantitative value assessment model.This study established a value assessment framework of 7 dimensions and 26 indicators.Reliability and validity analyses of these indicators made 4 indicators excluded.Then,the value functions were constructed for 17 indicators,establishing a quantitative value assessment model.This study constructed an antineoplastic drugs evaluation framework in the context of DRG with good validity and reliability and the corresponding quantitative value assessment model.展开更多
Pelagic fish are the most abundant species in upwelling regions,contributing 25%of total global fisheries production.Climate-driven changes in the marine environment play a crucial role in their population dynamics.Us...Pelagic fish are the most abundant species in upwelling regions,contributing 25%of total global fisheries production.Climate-driven changes in the marine environment play a crucial role in their population dynamics.Using Chilean jack mackerel(Trachurus murphyi)as an example,this study conducted simulations to quantify the impacts of environmental variations on the stock assessment.A habitat-based surplus production model was developed by integrating suitable habitat area into the model parameters carrying capacity(K)and intrinsic growth rate(r),with a suitable habitat area serving as the proxy for the environmental conditions for Chilean jack mackerel in the Southeast Pacific Ocean.The dynamics of Chilean jack mackerel stock and fisheries data were simulated,and four assessment models with different configurations were built to fit simulated data,with or without considering environmental effects.The results indicated that Joint K-r model,which integrated both parameters with the suitable habitat area index,outperformed the others by coming closest to the‘true'population dynamics.Ignoring habitat variations in the estimation model tended to overestimate biomass and underestimate harvest rate and reference points.Without observation and process error,the results were estimated with bias,while FMSY is relatively sensitive.This research illustrates the importance to consider random errors and environmental influences on populations,and provides foundation guidelines for future stock assessment.展开更多
Beyond-visual-range(BVR)air combat threat assessment has attracted wide attention as the support of situation awareness and autonomous decision-making.However,the traditional threat assessment method is flawed in its ...Beyond-visual-range(BVR)air combat threat assessment has attracted wide attention as the support of situation awareness and autonomous decision-making.However,the traditional threat assessment method is flawed in its failure to consider the intention and event of the target,resulting in inaccurate assessment results.In view of this,an integrated threat assessment method is proposed to address the existing problems,such as overly subjective determination of index weight and imbalance of situation.The process and characteristics of BVR air combat are analyzed to establish a threat assessment model in terms of target intention,event,situation,and capability.On this basis,a distributed weight-solving algorithm is proposed to determine index and attribute weight respectively.Then,variable weight and game theory are introduced to effectively deal with the situation imbalance and achieve the combination of subjective and objective.The performance of the model and algorithm is evaluated through multiple simulation experiments.The assessment results demonstrate the accuracy of the proposed method in BVR air combat,indicating its potential practical significance in real air combat scenarios.展开更多
基金supported by the grant from the National Natural Science Foundation of China(No.72071019)grant from the Natural Science Foundation of Chongqing(No.cstc2021jcyj-msxmX0185).
文摘Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray images of different races model can have better adaptability,we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA.In this study,a lightweight feature extractor(LFE)is designed to obtain the featuremaps fromradiographs,and amodule called attention erasermodule(AEM)is proposed to capture the fine-grained features.Meanwhile,the dimensional information of the metacarpal parts in the radiographs is measured to enhance the model’s generalization capability across images fromdifferent races.Ourmodel is trained and validated on the RSNA,RHPE,and digital hand atlas datasets,which include images from various racial groups.The model achieves a mean absolute error(MAE)of 4.42 months on the RSNA dataset and 15.98 months on the RHPE dataset.Compared to ResNet50,InceptionV3,and several state-of-the-art methods,our proposed method shows statistically significant improvements(p<0.05),with a reduction in MAE by 0.2±0.02 years across different racial datasets.Furthermore,t-tests on the features also confirm the statistical significance of our approach(p<0.05).
基金funded by the Sichuan Science and Technology Program,Grant Nos.2024NSFSC0515,2024ZHCG0182 and MZGC20230013.
文摘To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.
文摘One of the most promising vector control strategies for controlling dengue fever is the stable introduction of the obligate intracellular Wolbachia bacteria strain into Aedes aegypti mosquitoes. This method reduces the mosquito’s ability to transmit dengue through reproductive strategies associated with Wolbachia infection, such as parthenogenesis, male elimination or feminization, sex ratio distortions and cytoplasmic incompatibility. Expert knowledge and a risk assessment framework were used to identify the risks associated with the release of Wolbachia-bearing mosquitoes. Then, consultations with individual participants were organized and a Bayesian network (BN) was developed to capture the relationship between the hazards as well as the likelihood of these adverse events occurring. Finally, risk was calculated from the probability and consequence estimates obtained from our Burkina Faso participants, using a questionnaire based on the identified risks. Our “Cause More Harm” study yielded 46.15% negligible risk, 44.23% very low risk and 9.62% low risk. The “socio-cultural change” parameter had the greatest influence, with the perception that the dissemination project would be poorly received by the local population. This parameter alone accounted for 80% of the most significant risks. This explains the fact that hazard RA 49 “negative messages in social media” is ranked as the highest individual risk (although the risk is low) with a calculated risk of 0.261. The risk assessment was designed to integrate the interdependent complexity of hazards likely to affect the dissemination of technology in the environment. It represents an important implementation phase in the success of this innovative research, introducing a new technology to combat the transmission of dengue fever.
文摘Flood extremes due to sea level rise and extreme precipitation are expected to increase in frequency and intensity. However, despite the need for accurate climate change risk assessment, significant misconceptions in key risk terms, including vulnerability and impact, could lead to risk miscalculations. These misconceptions around risk concepts derive from the lack of risk terms’ standardization and the gaps in an integrated and widely accepted methodology for assessing climate change risks. Risk assessment frameworks should follow the specialties of each element/sector it is applied on and the special features of each climate hazard. Also, risk assessment matrix should not follow specific design settings but it should better follow the needs of each study, so as to optimize the understanding of each risk. Through an extensive literature review, this is the first paper that identifies gaps, inconsistencies and misuses of climate risk concepts and suggests specific systemization and standardization of risk terms definitions. Finally, it develops a climate change risk assessment framework and matrix, focusing on sea level rise and extreme precipitation, which could be widely implemented in risk assessment of all elements at sea level rise and extreme precipitation risk.
文摘Objective: Physical assessment is an indispensable and pivotal skill that nurses must aptly monitor, evaluate, and deliver timely care, particularly in the context of critically ill patients. However, studies have revealed instances where nurses demonstrate inaccurate practices. This study is aimed to measure the physical assessment skills of critical care nurses and the differences between levels of nursing education. Methods: A descriptive cross-sectional study was conducted involving a simple random sample of 101 nurses employed in critical care units. Results: Of the 101 participants, 56.4% were identified as female and 43.6% were male. In the sample, 71.0% held a diploma in nursing, while 29.0% held a Bachelor of Science in Nursing (BSN). Vital signs, orientation, and skin assessments were performed correctly in ≥90% of cases, whereas the majority (≥60%) did not correctly assess neck veins, Homan’s signs, breath sounds, heart sounds, and bowel sounds. Only ≤10% of participants accurately executed these assessments. Significant associations were found between sex and pain (P=0.034), as well as between the type of education and closure of the health assessment (P=0.041). Further, female nurses scored 10.0 ± 2.3, and male nurses 8.5 ± 2.5, diploma holders scored 9.4 ± 1.8, and BSN holders scored 9.3 ± 2.7 at the global rating. Conclusions: The presence of an existing gap in the accurate assessment of patients poses a potential risk to patient care. It is essential to investigate the factors contributing to this gap and to develop strategies to address it, thereby enhancing the quality of physical assessment and ultimately improving patient care.
基金Supported by Capital Fund Project for Clinical Diagnosis and Treatment Technology Research and Translational Application,No.Z201100005520091.
文摘Publications of Soufan et al and Kristjánsson et al in the World Journal of Orthopedics on mesenchymal stem cell(MSC)therapy for osteoarthritis(OA)represent a significant exploration of regenerative medicine’s potential in OA treatment.In their research,it is highlighted that MSCs can alleviate OA symptoms and even regenerate cartilage,potentially reversing the disease.They also compared the efficacy of three MSC subtypes,emphasizing the therapeutic advantages of adipose-derived MSCs.MSC injections,a novel and less invasive alternative to traditional treatments such as chondrocyte transplantation or arthroplasty,have a low cost,low risks,and favorable outcomes,presenting a promising approach for OA patients.Additionally,we stressed that the efficacy evaluation criteria,heterogeneity,safety,and other factors must be carefully considered to further advance the clinical translation of MSC therapy for OA.
文摘Objective:This study aimed to systematically evaluate the measurement characteristics and methodological quality of childbirth experience assessment tools,with a view to informing the selection of healthcare professionals who can provide high-quality assessment tools.Method:A systematic search was performed on specific databases:PubMed,Web of Science,Embase,CINAHL,SinoMed,China National Knowledge Infrastructure(CNKI),and Wanfang,from inception to February 29,2024.The researchers retrieved studies on the measurement attributes of the childbirth experience assessment tool,and traced back the references of the included studies to supplement relevant literature.According to the inclusion and exclusion criteria,screening and data extraction were independently undertaken by two reviewers.Two researchers individually used the Consensus-based Standards for the Selection of Health Measurement Instruments(COSMIN)Risk of Bias Checklist to assess the methodological quality of the scale,applied the COSMIN criteria to evaluate the measurement properties of the scale,and used a modified Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)system to assess the certainty of evidence.Result:A total of 15 studies were included to evaluate the psychometric properties of 11 childbirth experience assessment tools(including different language versions).Eight studies’methodological quality of content validity was doubtful,and the remaining studies did not report content validity.None of the tools reported measurement error,cross-cultural validity,or responsiveness.In light of the questionable or unreported content validity of the tools,the evidence quality was deemed moderate or below.Consequently,the 11 assessment tools were recommended as grade B.Conclusion:In contrast,the Questionnaire for Assessing the Childbirth Experience(QACE)is recommended for provisional use,given its relatively good methodological and measurement attributes and appropriate content for evaluation.However,further validation of other measurement properties is needed.
文摘Professional and trade skills are required for handling the construction related projects;Construction industries of the present day however lack useful information concerning different practices,patterns and trends involved in risk management.Considering this,the present study focuses on the aforementioned variables of risk management by quantitative analysis specifically in the domain of construction industry.This study has used IBM’s SPSS(Statistical Package for Social Sciences)version 25.0 to analyze the results.This study is an initiative to assess the impact of risk management in the construction sector of Jordan.It will assist the construction sector for exploring the limitations with respect to integrate effective risk management.A sense of competition will be developed through a comparison of risk factors of construction projects among the project stakeholders such as contractors should enhance their risk management practices.
基金Supported by Science and Technology Commissioner Project of Tianjin Science and Technology Bureau(22ZYCGSN00630).
文摘[Objectives]To assess the carbon sink capacity in seawater suspension cage aquaculture of shellfish in Tianjin from 2015 to 2022.[Methods]The carbon sink capacity of different shellfish species was evaluated using both physical and value assessment methods.[Results]The shellfish cultivated in seawater suspension cages in Tianjin exhibited a significant capacity for carbon sinks.The amounts of carbon removed by suspension cage aquaculture of Rapana venosa,Crassostrea gigas,Scapharca subcrenata,Scapharca broughtonii and Argopectens irradias were 448.297,403.398,89.463,40.657,and 106.719 t,respectively.Furthermore,the total volume of shellfish cultivated in seawater exhibited a consistent upward trend over time,correlating with an annual increase in the amount of carbon removed.Among the shellfish cultivated in seawater suspension cages,the order of carbon sink capacity was as follows:C.gigas>R.venosa>A.irradias>S.subcrenata and S.broughtonii.In terms of the carbon sink capacity of soft tissues,the ranking was as follows:A.irradias>R.venosa>C.gigas>S.subcrenata and S.broughtonii.The structural and yield factors associated with seawater suspension cage aquaculture of shellfish significantly influenced the enhancement of the total carbon sink of cultivated shellfish.Notably,structural factors had a greater impact on the increase in the carbon sink of cultivated shellfish compared to total yield factors.[Conclusions]The findings will serve as a reference for enhancing the carbon sink potential of fisheries and achieving sustainable development in seawater aquaculture in Tianjin.
基金Sponsored by the National Key Research and Development Program from Ministry of Science and Technology of the People's Republic of China (Grant No.2020YFB1711403)。
文摘After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.
基金Open access funding provided by University of Natural Resources and Life Sciences Vienna(BOKU).
文摘This paper presents a standardised workflow for conducting hazard assessments of mass wasting processes in remote mountain areas with limited data.The methodology integrates geomorphological mapping and remote sensing techniques and is adaptable to different national standards,thus ensuring its applicability in a variety of contexts.The principal objective is to guarantee the safety of mountainous regions,particularly in the vicinity of essential infrastructure,where the scope for implementing structural measures is restricted.The framework commences with comprehensive geomorphological mapping,which facilitates the identification of past hazardous processes and potential future hazards.New technologies,such as uncrewed aerial vehicles(UAVs),are employed to create high-resolution DEMs,which are particularly beneficial in regions with limited data availability.These models facilitate the assessment of potential hazards and inform decisions regarding protective measures.The utilisation of UAVs enhances the accuracy and efficiency of data collection,particularly in remote mountainous regions where alternative remotely sensed information may be unavailable.The integration of modern approaches into traditional hazard assessment methods allows for a comprehensive analysis of the spatial distribution of factors driving mass wasting processes.This workflow provides valuable insights that assist in the prioritisation of interventions and the optimisation of risk reduction in high mountainous areas.
基金2021 Young Teacher Research Funding Project of Hubei Normal University(HS2021QN014)。
文摘Assessment is a crucial aspect of the teaching process for teachers.Teachers’assessment literacy is closely related to students’learning outcomes.The language assessment literacy of foreign language teachers is a significant component of both teachers’professional development and students’learning,and it has become a research hotspot in the field of domestic language testing.Based on clarifying the theoretical framework of language assessment literacy,this paper proposes the main cultivation paths for pre-service English teachers’language assessment literacy,aiming to provide inspiration and references for the cultivation,reform,and development of teachers in basic foreign language education.
文摘The agricultural Internet of Things(IoT)system is a critical component of modern smart agriculture,and its security risk assessment methods have garnered increasing attention from the industry.Current agricultural IoT security risk assessment methods primarily rely on expert judgment,introducing subjective factors that reduce the credibility of the assessment results.To address this issue,this study constructed a dataset for agricultural IoT security risk assessment based on real-world security reports.A PCARF algorithm,built on random forest principles,was proposed,incorporating ensemble learning strategies to enhance prediction accuracy.Compared to the second-best model,the proposed model demonstrated a 2.7%increase in accuracy,a 3.4%improvement in recall rate,a 3.1%rise in Area Under the Curve(AUC),and a 7.9%boost in Matthews Correlation Coefficient(MCC).Extensive comparative experiments showed that the proposed model outperforms others in prediction accuracy and robustness.
文摘To describe and analyze the current status of benefit-finding research in patients with chronic diseases and to provide a reference for clinical practice and future research in this field.Using Arksey and O’Malley’s scoping review methodology as a framework,we searched PubMed,Web of Science,Science Direct,and CINAHL(4 English databases);and China National Knowledge Infrastructure,the VIP Database for Chinese Technical Periodicals,the Wan Fang Database and China Biomedical Database(4 Chinese databases)for literature on benefit finding in patients with chronic diseases,with a search time frame of construction to April 20,2024,and the literature was screened,extracted,and summarized.A total of 44 papers were included,comprising 18 in Chinese and 26 in English.Among them,a total of 19 assessment tools were used,and the influential factors investigated were categorized into socio-demographic characteristics,disease-related characteristics,psychological and behavioral characteristics,coping styles,and social support.Benefit finding is found to be a positive psychological experience and important for patients with chronic diseases,and the influencing factors are complex and diverse,with a wide range of assessment tools.However,domestic tools lack autonomy and specificity.Clinical caregivers and staff should develop relevant assessment tools and formulate a personalized research plan based on the characteristics of patients with chronic diseases in China to promote the adoption of healthy lifestyles by patients with chronic diseases,improve their self-management ability,and provide a practical basis for improving the quality of life of patients with chronic diseases.
基金The National Key Research and Development Program of China(No.2023YFC3805003)。
文摘To quantify the seismic resilience of buildings,a method for evaluating functional loss from the component level to the overall building is proposed,and the dual-parameter seismic resilience assessment method based on postearthquake loss and recovery time is improved.A threelevel function tree model is established,which can consider the dynamic changes in weight coefficients of different category of components relative to their functional losses.Bayesian networks are utilized to quantify the impact of weather conditions,construction technology levels,and worker skill levels on component repair time.A method for determining the real-time functional recovery curve of buildings based on the component repair process is proposed.Taking a three-story teaching building as an example,the seismic resilience indices under basic earthquakes and rare earthquakes are calculated.The results show that the seismic resilience grade of the teaching building is comprehensively judged as GradeⅢ,and its resilience grade is more significantly affected by postearthquake loss.The proposed method can be used to predict the seismic resilience of buildings prior to earthquakes,identify weak components within buildings,and provide guidance for taking measures to enhance the seismic resilience of buildings.
基金supported by the Medium and Long-term Science and Technology Plan for Radio,Television,and Online Audiovisuals(2023AC0200)the Public Welfare Technology Application Research Project of Zhejiang Province,China(No.LGF21F010001).
文摘Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of the DNN-based BIQA model.This work validates the natural instability of MOS through investigating the neuropsychological characteristics inside the human visual system during quality perception.By combining persistent homology analysis with electroencephalogram(EEG),the physiologically meaningful features of the brain responses to different distortion levels are extracted.The physiological features indicate that although volunteers view exactly the same image content,their EEG features are quite varied.Based on the physiological results,we advocate treating MOS as noisy labels and optimizing the DNN based BIQA model with earlystop strategies.Experimental results on both innerdataset and cross-dataset demonstrate the superiority of our optimization approach in terms of generalization ability.
基金the Higher Education Commission of Pakistan for supporting the study through the CRG-CPEC-130 project。
文摘Climate change and rising temperatures are accelerating the rate of deglaciation in the Hindu Kush Karakoram Himalaya(HKH)ranges,leading to the formation of new glacial lakes and the expansion of existing ones.These lakes are often vulnerable to failure,posing a significant threat to downstream communities and infrastructure.Therefore,a comprehensive assessment of Glacier-Lake Outburst Flood(GLOF)hazards and risk assessment is crucial to evaluate flood runout characteristics and identify settlements and infrastructure that are exposed and vulnerable to floods,aiding in the development and implementation of risk reduction strategies.This study aims to simulate a GLOF event induced by the Shisper glacier lake in northern Pakistan,using the HEC-RAS,and to assess its impact on settlements,infrastructure,and agricultural land.For the hydrometeorological analysis of the GLOF event,topographic data from unmanned aerial vehicles(UAVs),stream profiles,discharge data,Manning's roughness coefficient(n),and land use/land cover(LULC)were analyzed using HEC-RAS and geographic information system(GIS).During the GLOF event on May 7,2022,a maximum water depth of 6.3 m and a maximum velocity of 9.5 m/s were recorded.Based on the runout characteristics of this event,vulnerability and risk assessments have been calculated.The physical,social,and environmental vulnerabilities of the at-risk elements were evaluated using the analytical hierarchy process(AHP)and integrated with the hazard data to develop a risk map.The study identified the areas,infrastructure and settlements susceptible to GLOF hazard to support the development and implementation of targeted and evidence-based mitigation and adaptation strategies.
基金supported by grants from the National Natural Science Foundation of China(Grant No.:71804025)the Development Center for Medical Science&Technology,National Health Commission of the People's Republic of China(Grant No:WKZX2023CX210005).
文摘This study aims to build a value assessment framework applicable to Chinese health-care institutions for antineoplastic agents in the context of diagnosis related group(DRG).This study constructed the value assessment framework through literature research,Delphi expert consultation method,and analytic hierarchy process(AHP).This study used internal consistency reliability to test the reliability of the constructed framework.Exploratory factor analysis(EFA)and validation factor analysis were used for the validity test.Then,the level stratification of the indicators was set based on the literature data,and the value function of each indicator was constructed using the measuring attractiveness by a categorical based assessment technique method to construct a quantitative value assessment model.This study established a value assessment framework of 7 dimensions and 26 indicators.Reliability and validity analyses of these indicators made 4 indicators excluded.Then,the value functions were constructed for 17 indicators,establishing a quantitative value assessment model.This study constructed an antineoplastic drugs evaluation framework in the context of DRG with good validity and reliability and the corresponding quantitative value assessment model.
基金supported by the National Key Research and Development Program of China(No.2019YFD0901404)。
文摘Pelagic fish are the most abundant species in upwelling regions,contributing 25%of total global fisheries production.Climate-driven changes in the marine environment play a crucial role in their population dynamics.Using Chilean jack mackerel(Trachurus murphyi)as an example,this study conducted simulations to quantify the impacts of environmental variations on the stock assessment.A habitat-based surplus production model was developed by integrating suitable habitat area into the model parameters carrying capacity(K)and intrinsic growth rate(r),with a suitable habitat area serving as the proxy for the environmental conditions for Chilean jack mackerel in the Southeast Pacific Ocean.The dynamics of Chilean jack mackerel stock and fisheries data were simulated,and four assessment models with different configurations were built to fit simulated data,with or without considering environmental effects.The results indicated that Joint K-r model,which integrated both parameters with the suitable habitat area index,outperformed the others by coming closest to the‘true'population dynamics.Ignoring habitat variations in the estimation model tended to overestimate biomass and underestimate harvest rate and reference points.Without observation and process error,the results were estimated with bias,while FMSY is relatively sensitive.This research illustrates the importance to consider random errors and environmental influences on populations,and provides foundation guidelines for future stock assessment.
基金National Natural Science Foundation of China(62006193,62103338)Aeronautical Science Foundation of China(2022Z023053001)+1 种基金Key Research and Development Program of Shaanxi Province(2024GX-YBXM-115)Fundamental Research Funds for the Central Universities(D5000230150)。
文摘Beyond-visual-range(BVR)air combat threat assessment has attracted wide attention as the support of situation awareness and autonomous decision-making.However,the traditional threat assessment method is flawed in its failure to consider the intention and event of the target,resulting in inaccurate assessment results.In view of this,an integrated threat assessment method is proposed to address the existing problems,such as overly subjective determination of index weight and imbalance of situation.The process and characteristics of BVR air combat are analyzed to establish a threat assessment model in terms of target intention,event,situation,and capability.On this basis,a distributed weight-solving algorithm is proposed to determine index and attribute weight respectively.Then,variable weight and game theory are introduced to effectively deal with the situation imbalance and achieve the combination of subjective and objective.The performance of the model and algorithm is evaluated through multiple simulation experiments.The assessment results demonstrate the accuracy of the proposed method in BVR air combat,indicating its potential practical significance in real air combat scenarios.
