Based on the finite element （FE） program ANSYS, a three-dimensional model for the Runyang Suspension Bridge （RSB） is established. The structural natural frequency, vibration mode, stress and displacement response ...Based on the finite element （FE） program ANSYS, a three-dimensional model for the Runyang Suspension Bridge （RSB） is established. The structural natural frequency, vibration mode, stress and displacement response under various load cases are given. A new method of FE model updating is presented based on the physical meaning of sensitivity and the penalty function concept. In this method, the structural model is updated by modifying the parameters of design, and validated by structural natural vibration characteristics, stress response as well as displacement response. The design parameters used for updating are bounded according to measured static response and engineering judgment. The FE model of RSB is updated and validated by the measurements coming from the structural health monitoring system （SHMS）, and the FE baseline model reflecting the current state of RSB is achieved. Both the dynamic and static results show that the method is effective in updating the FE model of long span suspension bridges. The results obtained provide an important research basis for damage alarming and health monitoring of the RSB.展开更多
Validating simulation model is one of the important aspects for modeling and simulation. Some methods of validating model are compared and analyzed. Several typical methods, such as TIC’s inequality coefficient, gray...Validating simulation model is one of the important aspects for modeling and simulation. Some methods of validating model are compared and analyzed. Several typical methods, such as TIC’s inequality coefficient, gray interconnected analysis, direct spectrum estimation, maximum entropy spectral estimation based on Burg or Marple, are chosen and programmed in C language. Some examples by using the program are given. The results show that the program is available and it is best to adopt multi methods for validating models.展开更多
The streamflow over the Yellow River basin is simulated using the PRECIS （Providing REgional Climates for Impacts Studies） regional climate model driven by 15-year （1979-1993） ECMWF reanalysis data as the initial ...The streamflow over the Yellow River basin is simulated using the PRECIS （Providing REgional Climates for Impacts Studies） regional climate model driven by 15-year （1979-1993） ECMWF reanalysis data as the initial and lateral boundary conditions and an off-line large-scale routing model （LRM）. The LRM uses physical catchment and river channel information and allows streamflow to be predicted for large continental rivers with a 1°×1° spatial resolution. The results show that the PRECIS model can reproduce the general southeast to northwest gradient distribution of the precipitation over the Yellow River basin, The PRECIS- LRM model combination has the capability to simulate the seasonal and annual streamflow over the Yellow River basin. The simulated streamflow is generally coincident with the naturalized streamflow both in timing and in magnitude.展开更多
BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient outcomes.Existing predictive models for these reoperations lack precision in ...BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient outcomes.Existing predictive models for these reoperations lack precision in integrating complex clinical data.AIM To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients.METHODS Data of patients treated for colorectal cancer(n=2044)at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively collected.Patients were divided into an experimental group(n=60)and a control group(n=1984)according to unplanned reoperation occurrence.Patients were also divided into a training group and a validation group(7:3 ratio).We used three different machine learning methods to screen characteristic variables.A nomogram was created based on multifactor logistic regression,and the model performance was assessed using receiver operating characteristic curve,calibration curve,Hosmer-Lemeshow test,and decision curve analysis.The risk scores of the two groups were calculated and compared to validate the model.RESULTS More patients in the experimental group were≥60 years old,male,and had a history of hypertension,laparotomy,and hypoproteinemia,compared to the control group.Multiple logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation(P<0.05):Prognostic Nutritional Index value,history of laparotomy,hypertension,or stroke,hypoproteinemia,age,tumor-node-metastasis staging,surgical time,gender,and American Society of Anesthesiologists classification.Receiver operating characteristic curve analysis showed that the model had good discrimination and clinical utility.CONCLUSION This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer,which can improve treatment decisions and prognosis.展开更多
As the scale of current systems become larger and larger and their complexity is increasing gradually,research on executable models in the design phase becomes significantly important as it is helpful to simulate the ...As the scale of current systems become larger and larger and their complexity is increasing gradually,research on executable models in the design phase becomes significantly important as it is helpful to simulate the execution process and capture defects of a system in advance.Meanwhile,the capability of a system becomes so important that stakeholders tend to emphasize their capability requirements when developing a system.To deal with the lack of official specifications and the fundamental theory basis for capability requirement,we propose a cooperative capability requirements(CCR)meta-model as a theory basis for researchers to refer to in this research domain,in which we provide detailed definition of the CCR concepts,associations and rules.Moreover,we also propose an executable framework,which may enable modelers to simulate the execution process of a system in advance and do well in filling the inconsistency and semantic gaps between stakeholders’requirements and their models.The primary working mechanism of the framework is to transform the Alf activity meta-model into the communicating sequential process(CSP)process meta-model based on some mapping rules,after which the internal communication mechanism between process nodes is designed to smooth the execution of behaviors in a CSP system.Moreover,a validation method is utilized to check the correctness and consistency of the models,and a self-fixing mechanism is used to fix the errors and warnings captured during the validation process automatically.Finally,a validation report is generated and fed back to the modelers for system optimization.展开更多
AIM: To develop an eye health knowledge, attitude and practice(EH-KAP) field-based assessment tool for use in implementing effective eye health care services.METHODS: An instrument development and validation study. A ...AIM: To develop an eye health knowledge, attitude and practice(EH-KAP) field-based assessment tool for use in implementing effective eye health care services.METHODS: An instrument development and validation study. A Vietnam EH-KAP dataset were used to identify and eliminate redundant questions to develop a standardized tool. Face validity was assessed by the KAP survey team. Internal validity(congruency/criterion) was assessed by comparing descriptive analysis of two datasets(n=531;n=38) collected from the same sampling frame at different time points. Weighted scores were calculated for each construct. Kappa values for test-retest and inter-observer agreement were calculated to check the reliability of responses. The modified version was assessed by analysing the raw and ungrouped data. Responses were weighted and agreement was tested by comparing construct scores.RESULTS: Totally 38 respondents were included in this validation process(mean age 58.5 y). Mean scores for knowledge were 9.15(old questionnaire n=531) and 5.05(modified version). For attitude, the scores were 2.23 and 2.42, and for practice the scores were 3.33 and 2.21. Testretest agreement was between 62% to 93%(Kappa 0.24 to 0.86) for the ungrouped raw data, and 55% to 72%(Kappa 0.42 to 0.65) for KAP domain. Inter-observer Kappa value for ungrouped data was 0.37 and 0.45 for the weighted scores.CONCLUSION: This standardized tool applied at critical time points can assess trends in KAP within the same population and for comparison across groups. If used alongside a Rapid Assessment of Avoidable Blindness(RAAB), this tool provides a comprehensive perspective on eye-health of a population.展开更多
While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language(L2)education,scanty research focuses on demotivation in L2 speaking learning.Particularly,littl...While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language(L2)education,scanty research focuses on demotivation in L2 speaking learning.Particularly,little research explores the measures to quantify L2 speaking demotivation.The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale(ESDS).To this end,an independent sample of 207 Chinese tertiary learners of English as a Foreign Language(EFL)participated in the development phase,and another group of 188 Chinese EFL learners was recruited for the validation of the scale.Exploratory Factor Analysis(EFA)and Confirmatory Factor Analysis(CFA)were employed to determine the factor structure of the scale.The EFA results revealed a six-factor solution with Teacher-related Factors in Learning Spoken English(TFLSE),Interest and Valence in Learning Spoken English(IVLSE),Self-efficacy in Learning Spoken English(SELSE),Negative Peer Influence in Learning Spoken English(NPILSE),Undesirable Environment for Learning Spoken English(UELSE),and Negative Influence of Assessment and Learning Materials in speaking class(NIALM).In the validation phase,Confirmatory Factor Analysis(CFA)was performed to validate the internal structure of the scale.The CFA results showed that the model fits the data well.Overall,the ESDS is a robust and trustworthy psychometric tool that could be utilized to examine L2 speaking demotivation.Implications for diminishing EFL learners’demotivation,lessening their aversive emotions and promoting their mental health are also discussed.展开更多
Understanding and strengthening community-level resilience to natural hazard-induced disasters is critical for the management of adverse impacts of such events and the growth of community well-being.A key gap in achie...Understanding and strengthening community-level resilience to natural hazard-induced disasters is critical for the management of adverse impacts of such events and the growth of community well-being.A key gap in achieving this is limited standardized and validated disaster resilience measurement frameworks that operate at local levels and are universally applicable.The Flood Resilience Measurement for Communities(FRMC)is a foremost tool for community flood resilience assessment.It follows a structured approach to comprehensively assess community flood resilience across five classes of capacities(capitals)to support strategic investment in resilience strengthening initiatives.The FRMC is a further development of an earlier version(the FRMT,the Flood Resilience Measurement Tool).The FRMT has been developed and applied between 2015 and 2017 in 118 flood prone communities across nine countries.It has been validated in terms of content and face validity as well as in terms of reliability.To reduce redundancy and survey eff ort,the FRMC holds a lesser number of indicators(44 versus 88)and has now been applied in over 320 communities across 20 countries.We examine the validation for the revised resilience construct and the new community applications and present a comprehensive overview of the statistical and user validation process and outcomes in both practical and scientific terms.The results confirm the validity,reliability as well as usefulness of the FRMC framework and tool.Furthermore,our approach and results provide insights for other resilience measurement approaches and their validation eff orts.We also present a comprehensive discussion about the dynamic aspects of flood resilience at community level,and the many validation aspects that need to be incorporated both in terms of quantification eff orts as well as usability on the ground.展开更多
To explore the material basis and mechanisms of the anti-inflammatory effects of Hibiscus mutabilis L..The active ingredients and potential targets of Hibiscus mutabilis L.were obtained through the literature review a...To explore the material basis and mechanisms of the anti-inflammatory effects of Hibiscus mutabilis L..The active ingredients and potential targets of Hibiscus mutabilis L.were obtained through the literature review and SwissADME platform.Genes related to the inflammation were collected using Genecards and OMIM databases,and the intersection genes were submitted on STRING and DAVID websites.Then,the protein interaction network(PPI),gene ontology(GO)and pathway(KEGG)were analyzed.Cytoscape 3.7.2 software was used to construct the“Hibiscus mutabilis L.-active ingredient-target-inflammation”network diagram,and AutoDockTools-1.5.6 software was used for the molecular docking verification.The antiinflammatory effect of Hibiscus mutabilis L.active ingredient was verified by the RAW264.7 inflammatory cell model.The results showed that 11 active components and 94 potential targets,1029 inflammatory targets and 24 intersection targets were obtained from Hibiscus mutabilis L..The key anti-inflammatory active ingredients of Hibiscus mutabilis L.are quercetin,apigenin and luteolin.Its action pathway is mainly related to NF-κB,cancer pathway and TNF signaling pathway.Cell experiments showed that total flavonoids of Hibiscus mutabilis L.could effectively inhibit the expression of tumor necrosis factor(TNF-α),interleukin 8(IL-8)and epidermal growth factor receptor(EGFR)in LPS-induced RAW 264.7 inflammatory cells.It also downregulates the phosphorylation of human nuclear factor ĸB inhibitory protein α(IĸBα)and NF-κB p65 subunit protein(p65).Overall,the anti-inflammatory effect of Hibiscus mutabilis L.is related to many active components,many signal pathways and targets,which provides a theoretical basis for its further development and application.展开更多
Background:Investigators from low-,middle-,and high-income countries representing 6 continents contributed to the development of the Global Adolescent and Child Physical Activity Questionnaire(GAC-PAQ).The GAC-PAQ is ...Background:Investigators from low-,middle-,and high-income countries representing 6 continents contributed to the development of the Global Adolescent and Child Physical Activity Questionnaire(GAC-PAQ).The GAC-PAQ is designed to assess physical activity(PA)across all key domains(i.e.,school,chores,work/volunteering,transport,free time,outdoor time).It aimed to address multiple gaps in global PA surveillance(e.g.,omission of important PA domains,insufficient cultural adaptation,underrepresentation of rural areas in questionnaire validation studies).The purpose of this study was to assess the content validity of the GAC-PAQ among PA experts,8-to 17-year-olds,and one of their parents/guardians,and to discuss changes made to the questionnaire based on participants'feedback.Methods:Sixty-two experts in PA measurement and/or surveillance from 24 countries completed an online survey that included both closed-and open-ended questions about the content validity of the GAC-PAQ.The proportion of experts who agreed or strongly agreed with the items was calculated.Child-parent/guardian dyads from 15 countries(n=250;10-40 per country)participated in a structured cognitive interview to assess the clarity of the questions and response options,and they were encouraged to provide suggestions to improve clarity and facilitate completion of the questionnaire.Participating countries are:Aotearoa New Zealand,Brazil,Canada,China,Colombia,Czech Republic,India,Malawi,Mexico,Nepal,Nigeria,Spain,Sweden,Thailand,and the United Arab Emirates.Interviews were conducted in 13 different languages and structured by PA domain.Generic images were included to help participants in answering questions about PA intensity.Results:Expert agreement with the items for each domain exceeded 75%,and their qualitative feedback was used to revise the questionnaire before cognitive interviews.In general,participants found the questionnaire to be comprehensive.Adolescents(12-17 years)found it easier than children(8-11 years)to answer the questions.Several children struggled to answer questions about the duration and intensity of activities and/or concepts related to travel modes,active trips,and organized activities.Many parents/guardians were unsure about the frequency,duration,and intensity of their children's or adolescents'PA at school and/or recommended using more culturally relevant and appropriate images.Some participants misunderstood the concept of activities that“make you stronger”(intended to assess resistance activities)and/or struggled to differentiate between work,volunteering,and chores.Conclusion:Participants'feedback was used to develop a revised,simplified,and culturally adapted GAC-PAQ,which will be pilot-tested in all15 countries in an App that will include country-specific images and narration in local languages.Further research is needed to assess the reliability and validity of the revised GAC-PAQ.展开更多
It remains difficult to automate the creation and validation of Unified Modeling Language(UML)dia-grams due to unstructured requirements,limited automated pipelines,and the lack of reliable evaluation methods.This stu...It remains difficult to automate the creation and validation of Unified Modeling Language(UML)dia-grams due to unstructured requirements,limited automated pipelines,and the lack of reliable evaluation methods.This study introduces a cohesive architecture that amalgamates requirement development,UML synthesis,and multimodal validation.First,LLaMA-3.2-1B-Instruct was utilized to generate user-focused requirements.Then,DeepSeek-R1-Distill-Qwen-32B applies its reasoning skills to transform these requirements into PlantUML code.Using this dual-LLM pipeline,we constructed a synthetic dataset of 11,997 UML diagrams spanning six major diagram families.Rendering analysis showed that 89.5%of the generated diagrams compile correctly,while invalid cases were detected automatically.To assess quality,we employed a multimodal scoring method that combines Qwen2.5-VL-3B,LLaMA-3.2-11B-Vision-Instruct and Aya-Vision-8B,with weights based on MMMU performance.A study with 94 experts revealed strong alignment between automatic and manual evaluations,yielding a Pearson correlation of r=0.82 and a Fleiss’Kappa of 0.78.This indicates a high degree of concordance between automated metrics and human judgment.Overall,the results demonstrated that our scoring system is effective and that the proposed generation pipeline produces UML diagrams that are both syntactically correct and semantically coherent.More broadly,the system provides a scalable and reproducible foundation for future work in AI-driven software modeling and multimodal verification.展开更多
We present the first systematic experimental validation of return-current-driven cylindrical implosion scaling in micrometer-sized Cu and Al wires irradiated by J-class femtosecond laser pulses.Employing XFEL-based im...We present the first systematic experimental validation of return-current-driven cylindrical implosion scaling in micrometer-sized Cu and Al wires irradiated by J-class femtosecond laser pulses.Employing XFEL-based imaging with sub-micrometer spatial and femtosecond temporal resolution,supported by hydrodynamic and particle-in-cell simulations,we reveal how return current density depends precisely on wire diameter,material properties,and incident laser energy.We identify deviations from simple theoretical predictions due to geometrically influenced electron escape dynamics.These results refine and confirm the scaling laws essential for predictive modeling in high-energy-density physics and inertial fusion research.展开更多
Several examples that serve to validate the AHP/ANP with matrices hierarchies and networks are given in this paper. They are then followed by a discussion of the real numbers and how they are generated without the nee...Several examples that serve to validate the AHP/ANP with matrices hierarchies and networks are given in this paper. They are then followed by a discussion of the real numbers and how they are generated without the need for an absolute zero, and how they define an absolute scale of measurement that also does not need an absolute zero. In the AHP/ANP the measurement of an alternative depends on what other alternatives it is compared with. The result is that rank can change if alternatives are added or deleted, something that does not occur in one-at-a-time rating of the alternatives by comparing them with an ideal. An example is provided to show that this is natural and need not involve new criteria or change in judgments. A brief discussion of Utility Theory, the other multi-criteria theory, which uses interval scales to measure intangibles and some of its problems and paradoxes, is given. The references at the end include most of the papers that are adverse to the AHP with brief comments about several of them given in the paper.展开更多
Some criteria based on mode inference for validating inductive hypotheses are presented in this pa- per.Mode inference is carried out mechanically,thus such kind of validation can result in low overhead in consistency...Some criteria based on mode inference for validating inductive hypotheses are presented in this pa- per.Mode inference is carried out mechanically,thus such kind of validation can result in low overhead in consistency check and high efficiency in performance.展开更多
Background and Objectives:Epidemiological studies often use the food frequency questionnaire(FFQ)to predict the food consumption habits of a target group and subsequently promote healthy eating in the group.In the pre...Background and Objectives:Epidemiological studies often use the food frequency questionnaire(FFQ)to predict the food consumption habits of a target group and subsequently promote healthy eating in the group.In the present study,a version of the FFQ for Malaysian young adults aged 18–24 years was designed and validated.Methods and Study Design:This study comprised development and validation phases.In the development phase,129 young adults from a public university in Klang Valley completed a 3-day food record(3DFR),and the data were used to create a food list for the FFQ.Two weeks later,in the validation phase,another 100 participants recruited from the same university completed the 3DFR and a newly developed FFQ for assessing consumption of 38 food items.Finally,the data obtained from the FFQ and 3DFR were used to analyze the nutrient intake of each participant,and the developed FFQ was validated using Spearman correlation coefficients(r)and Bland–Altman methods.Results:For the development phase,38 food items were determined to contribute to 90%of the participants’total energy and macronutrient intake,and these items were included on the FFQ.For the validation phase,the average Spearman correlation coefficient for energy and all nutrients was 0.43,which indicated good agreement between the 3DFR and FFQ.Cross-classification analysis of the 3DFR and FFQ results revealed that 79%of the young adults were classified into similar or neighboring quartiles when each set of results was used.The Bland–Altman plots revealed that the results obtained using the two methods were parallel.Conclusions:The FFQ is a simple and validated tool that can be self-administered to young adults to assess their energy and nutrient consumption.展开更多
The ongoing revolution in information technology is reshaping human life. In the realm of health behavior, wearable technology emerges as a leading digital solution,capturing physical behaviors (i.e., physical activit...The ongoing revolution in information technology is reshaping human life. In the realm of health behavior, wearable technology emerges as a leading digital solution,capturing physical behaviors (i.e., physical activity, sedentary habits, sleep patterns) within the 24-h cycle of daily life. Wearables are applied in research, clinical practice, and as lifestyle devices;most obvious, they promise to be a key element for increasing human physical activity, one of the biggest health challenges nowadays.展开更多
Objective:This study aimed to examine the reliability and validity of the Chinese version of the Behavioral Inhibition System/Behavioral Activation System(BIS/BAS)scales among stroke survivors.Methods:The cross-sectio...Objective:This study aimed to examine the reliability and validity of the Chinese version of the Behavioral Inhibition System/Behavioral Activation System(BIS/BAS)scales among stroke survivors.Methods:The cross-sectional study was conducted at four comprehensive hospitals in Taizhou,Jiangsu,China.A sample of 232 first-ever stroke survivors were recruited from June to August 2023.Validity was examined using face validity and construct validity,which used confirmatory factor analysis(CFA)and known-group analysis.Reliability was evaluated by internal consistency and test-retest reliability.Results:The BIS/BAS scales demonstrated satisfactory face validity.The findings of CFAs supported the original four-factor structure of BAS-reward,BAS-drive,BAS-fun seeking,and BIS with acceptable model fit indices.Discriminative validity,assessed via known-group analysis,indicated that stroke survivors with probable depression had significantly lower mean BAS-reward,BAS-drive,and BAS-fun seeking scores(P<0.001)and a higher mean BIS score(P=0.028)compared to those without probable depression.The internal consistency,measured by Cronbach’s a coefficients for the subscales,ranged from 0.669 to 0.964.Test-retest reliability,assessed using intra-class correlation coefficients,ranged from 0.61 to 0.93.Conclusions:The Chinese version of the BIS/BAS scales could be a reliable and valid instrument for measuring behavioral activation among stroke survivors.展开更多
Fusarium head blight(FHB),mainly caused by Fusarium graminearum,is one of the most devastating diseases of wheat worldwide.Identification and validation of major quantitative trait loci(QTLs)for FHB resistance without...Fusarium head blight(FHB),mainly caused by Fusarium graminearum,is one of the most devastating diseases of wheat worldwide.Identification and validation of major quantitative trait loci(QTLs)for FHB resistance without negative effects on agronomic traits is critical to success in breeding FHB-resistant cultivars.In this study,a stable major QTL on chromosome arm 2DL was identified by evaluating a recombinant inbred line(RIL)population derived from Shi4185×Shijiazhuang 8 in both field and greenhouse experiments.QTL mapping and pedigree analyses indicated that the 2DL QTL is the same as QFhb-2DL previously identified in Ji5265;therefore,it was designated Fhb9.Four kompetitive amplicon sequence polymorphism(KASP)markers were developed based on exome capture sequencing data to enhance marker density in the Fhb9 region,and it was delimited to an interval between single nucleotide polymorphism(SNP)markers KASP-12056(533.8 Mb)and KASP-525(525.9 Mb)explained 26.0-30.1%of the phenotypic variation.Analysis of the geographic distribution of the Fhb9 resistance allele suggests that it originated from the Huang-Huai winter wheat region in China.The very low frequency of Fhb9 in modern Chinese cultivars reveals that it has not been widely deployed in breeding programs.Field and greenhouse evaluations of yield-related traits in near-isogenic lines(NILs)contrasting in Fhb9 alleles reveal that the Fhb9 resistance allele have no adverse effects on these traits.Fhb9 showed an additive effect on enhancing FHB resistance with Fhb1.Therefore,Fhb9 is a valuable major QTL for improving FHB resistance in wheat,and the near-diagnostic markers developed in this study will facilitate its deployment in wheat breeding programs.展开更多
OBJECTIVE:To explore the potential molecular mechanism of Qigu capsule(芪骨胶囊,QGC) in the treatment of sarcopenia through network pharmacology and to verify it experimentally.METHODS:The active compounds of QGC and ...OBJECTIVE:To explore the potential molecular mechanism of Qigu capsule(芪骨胶囊,QGC) in the treatment of sarcopenia through network pharmacology and to verify it experimentally.METHODS:The active compounds of QGC and common targets between QGC and sarcopenia were screened from databases.Then the herbs-compounds-targets network,and protein-protein interaction(PPI) network was constructed.Gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed by R software.Next,we used a dexamethasone-induced sarcopenia mouse model to evaluate the anti-sarcopenic mechanism of QGC.RESULTS:A total of 57 common targets of QGC and sarcopenia were obtained.Based on the enrichment analysis of GO and KEGG,we took the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt) signaling pathway as a key target to explore the mechanism of QGC on sarcopenia.Animal experiments showed that QGC could increase muscle strength and inhibit muscle fiber atrophy.In the model group,the expression of muscle ring finger-1 and Atrogin-1 were increased,while myosin heavy chain was decreased,QGC treatment reversed these changes.Moreover,compared with the model group,the expressions of pPI3K,p-Akt,p-mammalian target of rapamycin and pForkhead box O3 in the QGC group were all upregulated.CONCLUSION:QGC exerts an anti-sarcopenic effect by activating PI3K/Akt signaling pathway to regulate skeletal muscle protein metabolism.展开更多
Electric vehicle(EV)monitoring systems commonly depend on IoT-based sensormeasurements to track key performance parameters such as vehicle speed,state of charge(SoC),battery temperature,power consumption,motor RPM,and...Electric vehicle(EV)monitoring systems commonly depend on IoT-based sensormeasurements to track key performance parameters such as vehicle speed,state of charge(SoC),battery temperature,power consumption,motor RPM,and regenerative braking.While these systems enable real-time data acquisition,they are often hindered by sensor noise,communication delays,andmeasurement uncertainties,which compromise their reliability for critical decision-making.To overcome these limitations,this study introduces a comparative framework that integrates reference signals,a digital twin model emulating ideal system behavior,and real-time IoT measurements.The digital twin provides a predictive and noise-resilient representation of EV dynamics,enabling enhanced monitoring accuracy.Six critical parameters are evaluated using root mean square error(RMSE),mean absolute error(MAE),maximum deviation,and correlation coefficient(R^(2)).Results show that the digital twin significantly improves estimation fidelity,with RMSE for speed reduced from 2.5 km/h(IoT)to 1.2 km/h and R^(2) values generally exceeding 0.99,except for regenerative braking which achieved 0.982.These findings demonstrate the framework’s effectiveness in improving operational safety,energy management,and system reliability,offering a robust foundation for future advancements in adaptive calibration,predictive analytics,and fault detection in EV systems.展开更多
文摘Based on the finite element （FE） program ANSYS, a three-dimensional model for the Runyang Suspension Bridge （RSB） is established. The structural natural frequency, vibration mode, stress and displacement response under various load cases are given. A new method of FE model updating is presented based on the physical meaning of sensitivity and the penalty function concept. In this method, the structural model is updated by modifying the parameters of design, and validated by structural natural vibration characteristics, stress response as well as displacement response. The design parameters used for updating are bounded according to measured static response and engineering judgment. The FE model of RSB is updated and validated by the measurements coming from the structural health monitoring system （SHMS）, and the FE baseline model reflecting the current state of RSB is achieved. Both the dynamic and static results show that the method is effective in updating the FE model of long span suspension bridges. The results obtained provide an important research basis for damage alarming and health monitoring of the RSB.
文摘Validating simulation model is one of the important aspects for modeling and simulation. Some methods of validating model are compared and analyzed. Several typical methods, such as TIC’s inequality coefficient, gray interconnected analysis, direct spectrum estimation, maximum entropy spectral estimation based on Burg or Marple, are chosen and programmed in C language. Some examples by using the program are given. The results show that the program is available and it is best to adopt multi methods for validating models.
文摘The streamflow over the Yellow River basin is simulated using the PRECIS （Providing REgional Climates for Impacts Studies） regional climate model driven by 15-year （1979-1993） ECMWF reanalysis data as the initial and lateral boundary conditions and an off-line large-scale routing model （LRM）. The LRM uses physical catchment and river channel information and allows streamflow to be predicted for large continental rivers with a 1°×1° spatial resolution. The results show that the PRECIS model can reproduce the general southeast to northwest gradient distribution of the precipitation over the Yellow River basin, The PRECIS- LRM model combination has the capability to simulate the seasonal and annual streamflow over the Yellow River basin. The simulated streamflow is generally coincident with the naturalized streamflow both in timing and in magnitude.
基金This study has been reviewed and approved by the Clinical Research Ethics Committee of Wenzhou Central Hospital and the First Hospital Affiliated to Wenzhou Medical University,No.KY2024-R016.
文摘BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient outcomes.Existing predictive models for these reoperations lack precision in integrating complex clinical data.AIM To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients.METHODS Data of patients treated for colorectal cancer(n=2044)at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively collected.Patients were divided into an experimental group(n=60)and a control group(n=1984)according to unplanned reoperation occurrence.Patients were also divided into a training group and a validation group(7:3 ratio).We used three different machine learning methods to screen characteristic variables.A nomogram was created based on multifactor logistic regression,and the model performance was assessed using receiver operating characteristic curve,calibration curve,Hosmer-Lemeshow test,and decision curve analysis.The risk scores of the two groups were calculated and compared to validate the model.RESULTS More patients in the experimental group were≥60 years old,male,and had a history of hypertension,laparotomy,and hypoproteinemia,compared to the control group.Multiple logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation(P<0.05):Prognostic Nutritional Index value,history of laparotomy,hypertension,or stroke,hypoproteinemia,age,tumor-node-metastasis staging,surgical time,gender,and American Society of Anesthesiologists classification.Receiver operating characteristic curve analysis showed that the model had good discrimination and clinical utility.CONCLUSION This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer,which can improve treatment decisions and prognosis.
基金supported by the National Key R&D Program of China(2018YFC0806900)the China Postdoctoral Science Foundation Funded Project(2018M633757)+1 种基金the Primary Research&Development Plan of Jiangsu Province(BE2016904,BE2017616,BE2018754,BE2019762)Jiangsu Province Postdoctoral Science Foundation Funded Project(2019K185).
文摘As the scale of current systems become larger and larger and their complexity is increasing gradually,research on executable models in the design phase becomes significantly important as it is helpful to simulate the execution process and capture defects of a system in advance.Meanwhile,the capability of a system becomes so important that stakeholders tend to emphasize their capability requirements when developing a system.To deal with the lack of official specifications and the fundamental theory basis for capability requirement,we propose a cooperative capability requirements(CCR)meta-model as a theory basis for researchers to refer to in this research domain,in which we provide detailed definition of the CCR concepts,associations and rules.Moreover,we also propose an executable framework,which may enable modelers to simulate the execution process of a system in advance and do well in filling the inconsistency and semantic gaps between stakeholders’requirements and their models.The primary working mechanism of the framework is to transform the Alf activity meta-model into the communicating sequential process(CSP)process meta-model based on some mapping rules,after which the internal communication mechanism between process nodes is designed to smooth the execution of behaviors in a CSP system.Moreover,a validation method is utilized to check the correctness and consistency of the models,and a self-fixing mechanism is used to fix the errors and warnings captured during the validation process automatically.Finally,a validation report is generated and fed back to the modelers for system optimization.
基金Supported by the Australian Government Avoidable Blindness Initiative granted through CBM Australia
文摘AIM: To develop an eye health knowledge, attitude and practice(EH-KAP) field-based assessment tool for use in implementing effective eye health care services.METHODS: An instrument development and validation study. A Vietnam EH-KAP dataset were used to identify and eliminate redundant questions to develop a standardized tool. Face validity was assessed by the KAP survey team. Internal validity(congruency/criterion) was assessed by comparing descriptive analysis of two datasets(n=531;n=38) collected from the same sampling frame at different time points. Weighted scores were calculated for each construct. Kappa values for test-retest and inter-observer agreement were calculated to check the reliability of responses. The modified version was assessed by analysing the raw and ungrouped data. Responses were weighted and agreement was tested by comparing construct scores.RESULTS: Totally 38 respondents were included in this validation process(mean age 58.5 y). Mean scores for knowledge were 9.15(old questionnaire n=531) and 5.05(modified version). For attitude, the scores were 2.23 and 2.42, and for practice the scores were 3.33 and 2.21. Testretest agreement was between 62% to 93%(Kappa 0.24 to 0.86) for the ungrouped raw data, and 55% to 72%(Kappa 0.42 to 0.65) for KAP domain. Inter-observer Kappa value for ungrouped data was 0.37 and 0.45 for the weighted scores.CONCLUSION: This standardized tool applied at critical time points can assess trends in KAP within the same population and for comparison across groups. If used alongside a Rapid Assessment of Avoidable Blindness(RAAB), this tool provides a comprehensive perspective on eye-health of a population.
基金the Humanities and Social Sciences Project,China’s Ministry of Education(Grant Number:22YJA740016)the Key Project of Hubei Provincial Department of Education Philosophy and Social Science Research Fund(No.21ZD051)the Teaching and Research Fund of Hubei University of Technology(No.Xiao2022018).
文摘While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language(L2)education,scanty research focuses on demotivation in L2 speaking learning.Particularly,little research explores the measures to quantify L2 speaking demotivation.The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale(ESDS).To this end,an independent sample of 207 Chinese tertiary learners of English as a Foreign Language(EFL)participated in the development phase,and another group of 188 Chinese EFL learners was recruited for the validation of the scale.Exploratory Factor Analysis(EFA)and Confirmatory Factor Analysis(CFA)were employed to determine the factor structure of the scale.The EFA results revealed a six-factor solution with Teacher-related Factors in Learning Spoken English(TFLSE),Interest and Valence in Learning Spoken English(IVLSE),Self-efficacy in Learning Spoken English(SELSE),Negative Peer Influence in Learning Spoken English(NPILSE),Undesirable Environment for Learning Spoken English(UELSE),and Negative Influence of Assessment and Learning Materials in speaking class(NIALM).In the validation phase,Confirmatory Factor Analysis(CFA)was performed to validate the internal structure of the scale.The CFA results showed that the model fits the data well.Overall,the ESDS is a robust and trustworthy psychometric tool that could be utilized to examine L2 speaking demotivation.Implications for diminishing EFL learners’demotivation,lessening their aversive emotions and promoting their mental health are also discussed.
基金funded by the Z Zurich Foundation,Zurich,Switzerland as a contribution to the Zurich Climate Resilience Alliance。
文摘Understanding and strengthening community-level resilience to natural hazard-induced disasters is critical for the management of adverse impacts of such events and the growth of community well-being.A key gap in achieving this is limited standardized and validated disaster resilience measurement frameworks that operate at local levels and are universally applicable.The Flood Resilience Measurement for Communities(FRMC)is a foremost tool for community flood resilience assessment.It follows a structured approach to comprehensively assess community flood resilience across five classes of capacities(capitals)to support strategic investment in resilience strengthening initiatives.The FRMC is a further development of an earlier version(the FRMT,the Flood Resilience Measurement Tool).The FRMT has been developed and applied between 2015 and 2017 in 118 flood prone communities across nine countries.It has been validated in terms of content and face validity as well as in terms of reliability.To reduce redundancy and survey eff ort,the FRMC holds a lesser number of indicators(44 versus 88)and has now been applied in over 320 communities across 20 countries.We examine the validation for the revised resilience construct and the new community applications and present a comprehensive overview of the statistical and user validation process and outcomes in both practical and scientific terms.The results confirm the validity,reliability as well as usefulness of the FRMC framework and tool.Furthermore,our approach and results provide insights for other resilience measurement approaches and their validation eff orts.We also present a comprehensive discussion about the dynamic aspects of flood resilience at community level,and the many validation aspects that need to be incorporated both in terms of quantification eff orts as well as usability on the ground.
文摘To explore the material basis and mechanisms of the anti-inflammatory effects of Hibiscus mutabilis L..The active ingredients and potential targets of Hibiscus mutabilis L.were obtained through the literature review and SwissADME platform.Genes related to the inflammation were collected using Genecards and OMIM databases,and the intersection genes were submitted on STRING and DAVID websites.Then,the protein interaction network(PPI),gene ontology(GO)and pathway(KEGG)were analyzed.Cytoscape 3.7.2 software was used to construct the“Hibiscus mutabilis L.-active ingredient-target-inflammation”network diagram,and AutoDockTools-1.5.6 software was used for the molecular docking verification.The antiinflammatory effect of Hibiscus mutabilis L.active ingredient was verified by the RAW264.7 inflammatory cell model.The results showed that 11 active components and 94 potential targets,1029 inflammatory targets and 24 intersection targets were obtained from Hibiscus mutabilis L..The key anti-inflammatory active ingredients of Hibiscus mutabilis L.are quercetin,apigenin and luteolin.Its action pathway is mainly related to NF-κB,cancer pathway and TNF signaling pathway.Cell experiments showed that total flavonoids of Hibiscus mutabilis L.could effectively inhibit the expression of tumor necrosis factor(TNF-α),interleukin 8(IL-8)and epidermal growth factor receptor(EGFR)in LPS-induced RAW 264.7 inflammatory cells.It also downregulates the phosphorylation of human nuclear factor ĸB inhibitory protein α(IĸBα)and NF-κB p65 subunit protein(p65).Overall,the anti-inflammatory effect of Hibiscus mutabilis L.is related to many active components,many signal pathways and targets,which provides a theoretical basis for its further development and application.
基金supported by a Project Grant(Grant No.PJT183705)an Early Career Investigator Prize(Grant No.ECP 184184)from the Canadian Institutes of Health Research+7 种基金a Prentice Institute Research Affiliate Fund Grant from the Prentice Institute for Global Population and Economy(Grant No.G00004116)a Te Herenga Waka Victoria University of Wellington Division of Science Health Engineering Architecture and Design Innovation Faculty Strategic Research Grant(Grant No.FSRG-SHEADI-10724)The Thailand Physical Activity Knowledge Development Centre(TPAK)/Thai Health Promotion Foundation provided funding for the cognitive interviews and pilot study in Thailand(Grant No.66-P1-0473)The University Pablo de Olavide provided a scholarship for 2 undergraduate students working on the project(codes PPI2207 and PPI2308)In the Czech Republicthe study was supported by Palacky University IGA(Grant No.IGA_FTK_2023_017)supported by the Division of Intramural Research at the National Institute on Minority Health and Health Disparities of the National Institutes of Healthsupported by the Key Project of the National Philosophy and Social Science Foundation of China(23&ZD197)。
文摘Background:Investigators from low-,middle-,and high-income countries representing 6 continents contributed to the development of the Global Adolescent and Child Physical Activity Questionnaire(GAC-PAQ).The GAC-PAQ is designed to assess physical activity(PA)across all key domains(i.e.,school,chores,work/volunteering,transport,free time,outdoor time).It aimed to address multiple gaps in global PA surveillance(e.g.,omission of important PA domains,insufficient cultural adaptation,underrepresentation of rural areas in questionnaire validation studies).The purpose of this study was to assess the content validity of the GAC-PAQ among PA experts,8-to 17-year-olds,and one of their parents/guardians,and to discuss changes made to the questionnaire based on participants'feedback.Methods:Sixty-two experts in PA measurement and/or surveillance from 24 countries completed an online survey that included both closed-and open-ended questions about the content validity of the GAC-PAQ.The proportion of experts who agreed or strongly agreed with the items was calculated.Child-parent/guardian dyads from 15 countries(n=250;10-40 per country)participated in a structured cognitive interview to assess the clarity of the questions and response options,and they were encouraged to provide suggestions to improve clarity and facilitate completion of the questionnaire.Participating countries are:Aotearoa New Zealand,Brazil,Canada,China,Colombia,Czech Republic,India,Malawi,Mexico,Nepal,Nigeria,Spain,Sweden,Thailand,and the United Arab Emirates.Interviews were conducted in 13 different languages and structured by PA domain.Generic images were included to help participants in answering questions about PA intensity.Results:Expert agreement with the items for each domain exceeded 75%,and their qualitative feedback was used to revise the questionnaire before cognitive interviews.In general,participants found the questionnaire to be comprehensive.Adolescents(12-17 years)found it easier than children(8-11 years)to answer the questions.Several children struggled to answer questions about the duration and intensity of activities and/or concepts related to travel modes,active trips,and organized activities.Many parents/guardians were unsure about the frequency,duration,and intensity of their children's or adolescents'PA at school and/or recommended using more culturally relevant and appropriate images.Some participants misunderstood the concept of activities that“make you stronger”(intended to assess resistance activities)and/or struggled to differentiate between work,volunteering,and chores.Conclusion:Participants'feedback was used to develop a revised,simplified,and culturally adapted GAC-PAQ,which will be pilot-tested in all15 countries in an App that will include country-specific images and narration in local languages.Further research is needed to assess the reliability and validity of the revised GAC-PAQ.
基金supported by the DH2025-TN07-07 project conducted at the Thai Nguyen University of Information and Communication Technology,Thai Nguyen,Vietnam,with additional support from the AI in Software Engineering Lab.
文摘It remains difficult to automate the creation and validation of Unified Modeling Language(UML)dia-grams due to unstructured requirements,limited automated pipelines,and the lack of reliable evaluation methods.This study introduces a cohesive architecture that amalgamates requirement development,UML synthesis,and multimodal validation.First,LLaMA-3.2-1B-Instruct was utilized to generate user-focused requirements.Then,DeepSeek-R1-Distill-Qwen-32B applies its reasoning skills to transform these requirements into PlantUML code.Using this dual-LLM pipeline,we constructed a synthetic dataset of 11,997 UML diagrams spanning six major diagram families.Rendering analysis showed that 89.5%of the generated diagrams compile correctly,while invalid cases were detected automatically.To assess quality,we employed a multimodal scoring method that combines Qwen2.5-VL-3B,LLaMA-3.2-11B-Vision-Instruct and Aya-Vision-8B,with weights based on MMMU performance.A study with 94 experts revealed strong alignment between automatic and manual evaluations,yielding a Pearson correlation of r=0.82 and a Fleiss’Kappa of 0.78.This indicates a high degree of concordance between automated metrics and human judgment.Overall,the results demonstrated that our scoring system is effective and that the proposed generation pipeline produces UML diagrams that are both syntactically correct and semantically coherent.More broadly,the system provides a scalable and reproducible foundation for future work in AI-driven software modeling and multimodal verification.
基金partially supported by the Center for Advanced Systems Understanding(CASUS)financed by Germany’s Federal Ministry of Education and Research(BMBF)+2 种基金the Saxon State Government out of the State Budget approved by the Saxon State Parliamentfunding from the European Union’s Just Transition Fund(JTF)within the project Röntgenlaser-Optimierung der Laserfusion(ROLF),Contract No.5086999001co-financed by the Saxon State Government out of the State Budget approved by the Saxon State Parliament.
文摘We present the first systematic experimental validation of return-current-driven cylindrical implosion scaling in micrometer-sized Cu and Al wires irradiated by J-class femtosecond laser pulses.Employing XFEL-based imaging with sub-micrometer spatial and femtosecond temporal resolution,supported by hydrodynamic and particle-in-cell simulations,we reveal how return current density depends precisely on wire diameter,material properties,and incident laser energy.We identify deviations from simple theoretical predictions due to geometrically influenced electron escape dynamics.These results refine and confirm the scaling laws essential for predictive modeling in high-energy-density physics and inertial fusion research.
文摘Several examples that serve to validate the AHP/ANP with matrices hierarchies and networks are given in this paper. They are then followed by a discussion of the real numbers and how they are generated without the need for an absolute zero, and how they define an absolute scale of measurement that also does not need an absolute zero. In the AHP/ANP the measurement of an alternative depends on what other alternatives it is compared with. The result is that rank can change if alternatives are added or deleted, something that does not occur in one-at-a-time rating of the alternatives by comparing them with an ideal. An example is provided to show that this is natural and need not involve new criteria or change in judgments. A brief discussion of Utility Theory, the other multi-criteria theory, which uses interval scales to measure intangibles and some of its problems and paradoxes, is given. The references at the end include most of the papers that are adverse to the AHP with brief comments about several of them given in the paper.
文摘Some criteria based on mode inference for validating inductive hypotheses are presented in this pa- per.Mode inference is carried out mechanically,thus such kind of validation can result in low overhead in consistency check and high efficiency in performance.
文摘Background and Objectives:Epidemiological studies often use the food frequency questionnaire(FFQ)to predict the food consumption habits of a target group and subsequently promote healthy eating in the group.In the present study,a version of the FFQ for Malaysian young adults aged 18–24 years was designed and validated.Methods and Study Design:This study comprised development and validation phases.In the development phase,129 young adults from a public university in Klang Valley completed a 3-day food record(3DFR),and the data were used to create a food list for the FFQ.Two weeks later,in the validation phase,another 100 participants recruited from the same university completed the 3DFR and a newly developed FFQ for assessing consumption of 38 food items.Finally,the data obtained from the FFQ and 3DFR were used to analyze the nutrient intake of each participant,and the developed FFQ was validated using Spearman correlation coefficients(r)and Bland–Altman methods.Results:For the development phase,38 food items were determined to contribute to 90%of the participants’total energy and macronutrient intake,and these items were included on the FFQ.For the validation phase,the average Spearman correlation coefficient for energy and all nutrients was 0.43,which indicated good agreement between the 3DFR and FFQ.Cross-classification analysis of the 3DFR and FFQ results revealed that 79%of the young adults were classified into similar or neighboring quartiles when each set of results was used.The Bland–Altman plots revealed that the results obtained using the two methods were parallel.Conclusions:The FFQ is a simple and validated tool that can be self-administered to young adults to assess their energy and nutrient consumption.
基金funded in part by the German Research Foundation(Grant reference:496846758).
文摘The ongoing revolution in information technology is reshaping human life. In the realm of health behavior, wearable technology emerges as a leading digital solution,capturing physical behaviors (i.e., physical activity, sedentary habits, sleep patterns) within the 24-h cycle of daily life. Wearables are applied in research, clinical practice, and as lifestyle devices;most obvious, they promise to be a key element for increasing human physical activity, one of the biggest health challenges nowadays.
文摘Objective:This study aimed to examine the reliability and validity of the Chinese version of the Behavioral Inhibition System/Behavioral Activation System(BIS/BAS)scales among stroke survivors.Methods:The cross-sectional study was conducted at four comprehensive hospitals in Taizhou,Jiangsu,China.A sample of 232 first-ever stroke survivors were recruited from June to August 2023.Validity was examined using face validity and construct validity,which used confirmatory factor analysis(CFA)and known-group analysis.Reliability was evaluated by internal consistency and test-retest reliability.Results:The BIS/BAS scales demonstrated satisfactory face validity.The findings of CFAs supported the original four-factor structure of BAS-reward,BAS-drive,BAS-fun seeking,and BIS with acceptable model fit indices.Discriminative validity,assessed via known-group analysis,indicated that stroke survivors with probable depression had significantly lower mean BAS-reward,BAS-drive,and BAS-fun seeking scores(P<0.001)and a higher mean BIS score(P=0.028)compared to those without probable depression.The internal consistency,measured by Cronbach’s a coefficients for the subscales,ranged from 0.669 to 0.964.Test-retest reliability,assessed using intra-class correlation coefficients,ranged from 0.61 to 0.93.Conclusions:The Chinese version of the BIS/BAS scales could be a reliable and valid instrument for measuring behavioral activation among stroke survivors.
基金supported by the National Key Research and Development Program of China(2022YFD1201502)partially funded by the Talent Funds of China Agricultural University(2021RC009)the US Wheat and Barley Scab Initiative.
文摘Fusarium head blight(FHB),mainly caused by Fusarium graminearum,is one of the most devastating diseases of wheat worldwide.Identification and validation of major quantitative trait loci(QTLs)for FHB resistance without negative effects on agronomic traits is critical to success in breeding FHB-resistant cultivars.In this study,a stable major QTL on chromosome arm 2DL was identified by evaluating a recombinant inbred line(RIL)population derived from Shi4185×Shijiazhuang 8 in both field and greenhouse experiments.QTL mapping and pedigree analyses indicated that the 2DL QTL is the same as QFhb-2DL previously identified in Ji5265;therefore,it was designated Fhb9.Four kompetitive amplicon sequence polymorphism(KASP)markers were developed based on exome capture sequencing data to enhance marker density in the Fhb9 region,and it was delimited to an interval between single nucleotide polymorphism(SNP)markers KASP-12056(533.8 Mb)and KASP-525(525.9 Mb)explained 26.0-30.1%of the phenotypic variation.Analysis of the geographic distribution of the Fhb9 resistance allele suggests that it originated from the Huang-Huai winter wheat region in China.The very low frequency of Fhb9 in modern Chinese cultivars reveals that it has not been widely deployed in breeding programs.Field and greenhouse evaluations of yield-related traits in near-isogenic lines(NILs)contrasting in Fhb9 alleles reveal that the Fhb9 resistance allele have no adverse effects on these traits.Fhb9 showed an additive effect on enhancing FHB resistance with Fhb1.Therefore,Fhb9 is a valuable major QTL for improving FHB resistance in wheat,and the near-diagnostic markers developed in this study will facilitate its deployment in wheat breeding programs.
基金Shanghai Clinical Research Center for Chronic Musculoskeletal Diseases (20MC1920600)Shanghai Key Clinical Specialty "Traditional Chinese Medicine Orthopaedic Traumatology"(shslczdzk03901)+3 种基金The Second Round of Construction Project of National TCM Academic School Inheritance Studio "Shi's Trauma Department"[Letter of the People's Education of Traditional Chinese Medicine (2019) No.62]Shanghai High-level Local Universities "Chronic Muscle and Bone Damage Research and Transformation" Innovation Team [No.3 of Shanghai Education Commission (2022)]Program for Shanghai High-Level Local University Innovation Team (SZY20220315)Shanghai Shenkang Hospital Development Center Clinical Three-year Action Plan (SHDC2020CR3090B)。
文摘OBJECTIVE:To explore the potential molecular mechanism of Qigu capsule(芪骨胶囊,QGC) in the treatment of sarcopenia through network pharmacology and to verify it experimentally.METHODS:The active compounds of QGC and common targets between QGC and sarcopenia were screened from databases.Then the herbs-compounds-targets network,and protein-protein interaction(PPI) network was constructed.Gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed by R software.Next,we used a dexamethasone-induced sarcopenia mouse model to evaluate the anti-sarcopenic mechanism of QGC.RESULTS:A total of 57 common targets of QGC and sarcopenia were obtained.Based on the enrichment analysis of GO and KEGG,we took the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt) signaling pathway as a key target to explore the mechanism of QGC on sarcopenia.Animal experiments showed that QGC could increase muscle strength and inhibit muscle fiber atrophy.In the model group,the expression of muscle ring finger-1 and Atrogin-1 were increased,while myosin heavy chain was decreased,QGC treatment reversed these changes.Moreover,compared with the model group,the expressions of pPI3K,p-Akt,p-mammalian target of rapamycin and pForkhead box O3 in the QGC group were all upregulated.CONCLUSION:QGC exerts an anti-sarcopenic effect by activating PI3K/Akt signaling pathway to regulate skeletal muscle protein metabolism.
文摘Electric vehicle(EV)monitoring systems commonly depend on IoT-based sensormeasurements to track key performance parameters such as vehicle speed,state of charge(SoC),battery temperature,power consumption,motor RPM,and regenerative braking.While these systems enable real-time data acquisition,they are often hindered by sensor noise,communication delays,andmeasurement uncertainties,which compromise their reliability for critical decision-making.To overcome these limitations,this study introduces a comparative framework that integrates reference signals,a digital twin model emulating ideal system behavior,and real-time IoT measurements.The digital twin provides a predictive and noise-resilient representation of EV dynamics,enabling enhanced monitoring accuracy.Six critical parameters are evaluated using root mean square error(RMSE),mean absolute error(MAE),maximum deviation,and correlation coefficient(R^(2)).Results show that the digital twin significantly improves estimation fidelity,with RMSE for speed reduced from 2.5 km/h(IoT)to 1.2 km/h and R^(2) values generally exceeding 0.99,except for regenerative braking which achieved 0.982.These findings demonstrate the framework’s effectiveness in improving operational safety,energy management,and system reliability,offering a robust foundation for future advancements in adaptive calibration,predictive analytics,and fault detection in EV systems.
