Geometric model construction is the basis of infrared image theory simulation. Taking the construction of the geometric model of one building in Harbin as an example, this paper analyzes the theoretical groundings of ...Geometric model construction is the basis of infrared image theory simulation. Taking the construction of the geometric model of one building in Harbin as an example, this paper analyzes the theoretical groundings of simplification and principles of geometric model construction of buildings. It then discusses some particular treatment methods in calculating the radiation transfer coefficient in geometric model construction using the Monte Carlo Method.展开更多
The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture,spatial res-olution,and multiple parameter categories,which is challenging to achiev...The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture,spatial res-olution,and multiple parameter categories,which is challenging to achieve using satellite remote sensing.Considering the convenient,facilitative,and flexible characteristics of UAV(unmanned air vehicle)remote sensing tech-nology,this study selects a campus as a typical research area and uses the Pegasus D2000 equipped with a D-MSPC2000 multi-spectral camera and a CAM3000 aerial camera to acquire oblique images and multi-spectral data.Using professional software,including Context Capture,ENVI,and ArcGIS,a 3D(three-dimensional)campus model,a digital orthophoto map,and multi-spectral remote sensing map drawing are realized,and the geometric accuracy of typical feature selection is evaluated.Based on a quantitative remote sensing model,the campus ecological environment assessment is performed from the perspectives of vegetation and water body.The results presented in this study could be of great significance to the scientific management and sustainable development of regional natural resources.展开更多
In tomographic statics seismic data processing,it 1s crucial to cletermme an optimum base for a near-surface model.In this paper,we consider near-surface model base determination as a global optimum problem.Given info...In tomographic statics seismic data processing,it 1s crucial to cletermme an optimum base for a near-surface model.In this paper,we consider near-surface model base determination as a global optimum problem.Given information from uphole shooting and the first-arrival times from a surface seismic survey,we present a near-surface velocity model construction method based on a Monte-Carlo sampling scheme using a layered equivalent medium assumption.Compared with traditional least-squares first-arrival tomography,this scheme can delineate a clearer,weathering-layer base,resulting in a better implementation of damming correction.Examples using synthetic and field data are used to demonstrate the effectiveness of the proposed scheme.展开更多
In regard to knowledge economy,the current concept in the model construction of online education,including distance education and online learning,generally refers to a kind of network-based learning behavior,similar t...In regard to knowledge economy,the current concept in the model construction of online education,including distance education and online learning,generally refers to a kind of network-based learning behavior,similar to the concept of online training.Compared with traditional offline education methods,through the application of information technology and internet technology for content dissemination and rapid learning,online education has the characteristics of high efficiency,convenience,low threshold,and rich teaching resources.Online education covers a wide range of people,different forms of learning,and its classification methods are more diverse.Online education services are the fastest growing field of education informatization.At the moment,the most pressing problems include effectively integrating educational resources with internet technology,launching online education services and products that are highly interactive and would encourage personalized learning,increasing user stickiness,as well as avoiding trend-following and conceptualized investment.展开更多
Objectives:To investigate the diagnostic value of prostate-specific antigen density(PSAD),prostate volume(PV),free prostate-specific antigen(fPSA),total prostate-specific antigen(tPSA),and fPSAPSA in prostate cancer(P...Objectives:To investigate the diagnostic value of prostate-specific antigen density(PSAD),prostate volume(PV),free prostate-specific antigen(fPSA),total prostate-specific antigen(tPSA),and fPSAPSA in prostate cancer(PCa)and to construct a risk prediction model based on analyzed risk factors.Methods:Age,Gleason score of pathological biopsy,PV,fPSA,tPSA,fPSAPSA,and PSAD were retrospectively analyzed,and accuracy of the predictive model was evaluated using receiver operating characteristic curve and logistic regression analyses.An age×PSAD product term was introduced to test the interaction between age and PSAD,and the predictive efficacy of PSAD stratified by age was evaluated.Results:Multivariate logistic regression analysis suggested that PV,fPSA,tPSA,fPSAPSA,and PSAD were independent risk factors for PCa(P70-year-old group(OR=33.54,95%CI:19.38 to 58.05)(all P<0.001).Conclusion:The nomogram model constructed based on PV,fPSA,tPSA,fPSAPSA,and PSAD can effectively predict the probability of PCa occurrence.Among these factors,the predictive value of PSAD is age dependent and particularly prominent in individuals aged 60 to 70 years.展开更多
Electrical and electronic laboratories are crucial for developing engineering talent,yet they face challenges such as outdated hardware,rigid management,and faculty shortages.This paper proposes an integrated reform m...Electrical and electronic laboratories are crucial for developing engineering talent,yet they face challenges such as outdated hardware,rigid management,and faculty shortages.This paper proposes an integrated reform model featuring virtual-physical equipment upgrades,open and intelligent management platforms,a dual-qualified teaching team,and a full-process safety assurance system.It offers a practical framework for modernizing such laboratories and supporting the cultivation of high-quality innovative engineering professionals.展开更多
Against the backdrop of continuous social development and growing public health demands,the efficiency and scientific nature of the emergency care system are of paramount importance.This paper focuses on researching t...Against the backdrop of continuous social development and growing public health demands,the efficiency and scientific nature of the emergency care system are of paramount importance.This paper focuses on researching the construction of an emergency care system based on the concept of“linkage”,delving into its theoretical foundations,exploring innovative construction models,and analyzing practical cases.The study indicates that an emergency care system under the“linkage”concept can effectively integrate resources and enhance efficiency,providing new insights for improving the construction of the emergency care system.It aims to promote the development of the emergency care system towards a more scientific,efficient,and collaborative direction.展开更多
With the continuous expansion and increasing complexity of engineering projects, cost forecasting has become particularly critical in project management. To meet the demands of the big data era, this study utilizes ex...With the continuous expansion and increasing complexity of engineering projects, cost forecasting has become particularly critical in project management. To meet the demands of the big data era, this study utilizes extensive historical engineering data to examine the intrinsic relationships and fluctuation patterns of project costs, covering data collection, preprocessing, and key factor analysis. By employing cutting-edge algorithms for comprehensive comparison and intelligent identification of cost-influencing factors, an efficient cost forecasting methodology was developed, achieving accurate predictions of cost trends. Results demonstrate that this method exhibits high forecasting accuracy across various project scenarios, effectively capturing key cost variation characteristics and providing robust insights for budget preparation and risk control. Practical validation confirms that with sufficient data resources and rigorous analysis of critical factors, cost management precision can be significantly enhanced. Overall, this research not only establishes innovative technical approaches for cost forecasting but also advances the digital transformation of project management, offering substantial practical implications and broad application prospects for improving resource allocation efficiency and optimizing project decision-making.展开更多
New energy-storage systems play a pivotal role in the development of the new power system for advancing the energy transition in China.In the“14th Five-Year Plan”for the New Energy-Storage Development,it is proposed...New energy-storage systems play a pivotal role in the development of the new power system for advancing the energy transition in China.In the“14th Five-Year Plan”for the New Energy-Storage Development,it is proposed to expand investment and construction models by promoting the deployment of energy-storage facilities through the ways of self-construction,leasing,and purchasing,and to encourage the development of the shared energy-storage.However,the current scarcity in the model of the shared energy-storage invest-ment and construction substantially restricts its development,particularly due to unclear mechanisms for cost and benefit allocation,which also discourages potential investors.To address the issue,this paper proposes investment and construction models for shared energy-storage that aligns with the present stage of energy storage development.In specific,three main models are introduced:(1)Cen-tralized Self-built Shared Energy-Storage model(CSSES),(2)Third-party Investment Shared Energy-Storage model(TISES),and(3)Distributed Self-built Shared Energy Storage(DSSES)model.The cost–benefit analysis is conducted for each model.The results indicate that the CSSES model achieves the highest internal rate of return(11.5%)and the shortest payback period,while the DSSES model per-forms acceptable with an IRR of 9.4%.In contrast,the TISES model shows the lowest IRR(6.7%)and requires higher electricity price for being feasible.Furthermore,the study employs the entropy weight method and the analytic hierarchy process(AHP)for indicator eval-uation,and integrates the technique for order preference by the similarity to an ideal solution(TOPSIS)for scheme optimization.The results show that both the CSSES model and the DSSES model achieve the highest proximity scores.Under environmental regulations,these models demonstrate superior economic benefits by optimizing energy storage utilization,reducing user costs,and enhancing overall profitability.展开更多
Objective:To address the prediction of hemorrhagic transformation(HT)after rt-PA thrombolysis in acute cerebral infarction(ACI)patients,a predictive model integrating data engineering,algorithm optimization,and modula...Objective:To address the prediction of hemorrhagic transformation(HT)after rt-PA thrombolysis in acute cerebral infarction(ACI)patients,a predictive model integrating data engineering,algorithm optimization,and modularity was constructed.This model resolves the technical limitation of traditional clinical statistical models that overemphasize analysis while neglecting deployment readiness,thereby providing a reusable technical solution for the implementation of medical risk prediction systems.Methods:A standardized dataset was built using data from 300 ACI patients who underwent rt-PA thrombolysis.Automated data cleaning,outlier correction,and feature engineering optimization(recursive feature elimination+variance inflation factor test)were applied to select core features.An L2-regularized logistic regression algorithm was employed to construct the prediction model,which was visualized via a nomogram.Multi-dimensional performance validation was conducted through cross-validation and probability calibration techniques.Results:The incidence of HT was20.0%.Multivariate analysis identified NIHSS score(OR=1.626),blood glucose(OR=1.662),platelet count(OR=0.975),age(OR=1.091),and history of diabetes(OR=0.343)as core predictors(P<0.05).Engineering validation demonstrated excellent discrimination(AUC=0.800,95%CI:0.752-0.856).After optimization with Platt scaling,the calibration curve was highly consistent with the actual probability,with a Brier score of0.092.The prediction time per sample was<50 ms,and the convergence efficiency of model training was improved by 30%.Conclusion:This model integrates core technologies including data preprocessing,feature optimization,and algorithm improvement,exhibiting low-latency,high stability,and deployability.It provides a standardized technical framework for transforming medical prediction models from statistical conclusions into engineered products.展开更多
Objective: This study aimed to construct a machine learning-based prediction model to improve the accuracy and timeliness of risk assessment for postoperative deep vein thrombosis(DVT) in patients with diabetic nephro...Objective: This study aimed to construct a machine learning-based prediction model to improve the accuracy and timeliness of risk assessment for postoperative deep vein thrombosis(DVT) in patients with diabetic nephropathy.Methods: Clinical data were collected from 300 patients with diabetic nephropathy who underwent orthopedic surgery in three tertiary hospitals in China between January 2023 and December 2024. According to whether DVT occurred within 30 d postoperatively, the patients were divided into a case group(63 cases) and a control group(237 cases). Twenty-eight features were extracted and preprocessed. Four machine learning models, including XGBoost, LightGBM, random forest, and logistic regression, were established. Model performance was evaluated using 5-fold crossvalidation, with AUC and accuracy as the core metrics. The differences between the models were compared by the DeLong test. Results: There were significant differences in 11 baseline characteristics such as age, BMI, and duration of diabetes between the case group and the control group(P<0.001). Model evaluation showed that the XGBoost model achieved the best performance, with an AUC of 0.832, which was significantly higher than that of the Caprini score;it also outperformed other models in terms of accuracy, sensitivity, and other indicators. Feature importance analysis indicated that operation duration, D-dimer and eGFR were key influencing factors,and the interaction between operation duration and eGFR played a significant role in risk prediction. Conclusion: The machine learning-based XGBoost model is superior to traditional assessment tools in predicting postoperative DVT in patients with diabetic nephropathy undergoing orthopedic surgery, providing a new method for accurate clinical prevention and control.展开更多
The application model of epidemic disease assessment technology for Web-based large-scale pig farm was expounded from the identification of epidemic disease risk factors, construction of risk assessment model and deve...The application model of epidemic disease assessment technology for Web-based large-scale pig farm was expounded from the identification of epidemic disease risk factors, construction of risk assessment model and development of risk assessment system. The assessed pig farm uploaded the epidemic disease risk data information through on-line answering evaluating questionnaire to get the immediate evaluation report. The model could enhance the risk communication between pig farm veterinarian, manager and veterinary experts to help farm system understand and find disease risk factors, assess and report the potential high risk items of the pig farm in the three systems of engineering epidemic disease prevention technology, biological safety and immune monitoring, and promote the improvement and perfection of epidemic disease prevention and control measures.展开更多
The process of understanding natural language can be viewed as the process of model construction. This paper? employing Kripke frame for intuitionistic logic semantics as the implement of model construction for natura...The process of understanding natural language can be viewed as the process of model construction. This paper? employing Kripke frame for intuitionistic logic semantics as the implement of model construction for natural language, introduces a method of incremental model construction.展开更多
More space truss construction has been planned to develop and utilize space resources.These trusses are designed in the way of large-scale,complex,modular,and on-orbit assembly.To meet the upcoming challenge of large-...More space truss construction has been planned to develop and utilize space resources.These trusses are designed in the way of large-scale,complex,modular,and on-orbit assembly.To meet the upcoming challenge of large-scale space infrastructure construction,it is necessary to study space truss automation design and robotic construction.This paper proposes an ordinal finite screw adjacency matrix model(OFSAMM),focusing on the relationship between assembly motions,to express and compute a space truss structure.In this model,a space truss is abstracted as a set of ordered assembly motions,each of which is recorded as a finite screw as the basic element of the truss and its assembly.The operation of truss transformation is also derived under this model.Therefore,the truss configuration,the assembly sequence,the truss sub-assembly,the truss components,and the on-orbit assembly task can be expressed and calculated in a unified model,which is calculated and stores the truss topology and assembly with the minimum storage cost.At the end of this paper,we introduce how to synthesize and optimize space truss design through two cases.The study will help to improve design efficiency.Furthermore,it provides a theoretical basis for the automatic construction of space truss structures,especially in the next stage.展开更多
Students’grades not only serve as an effective indicator of their learning achievements but also to some extent reflect the completion of teaching tasks by the instructors.Currently,many universities across the count...Students’grades not only serve as an effective indicator of their learning achievements but also to some extent reflect the completion of teaching tasks by the instructors.Currently,many universities across the country have collected and recorded various information about students and teachers in the school’s information management system,but it is only a simple storage record and has not effectively excavated hidden information,and data have not been fully utilized.Student performance information,enrolment information,course information,teaching plans,and teacher-related information are currently stored in separate databases,which are independent of each other,making it difficult to perform effective data analysis.Data warehousing technology can integrate various information and use data analysis software to excavate more high-value information,which is convenient for teaching evaluation and optimizing teaching strategies.Based on data warehousing technology,the article uses the hierarchical concept of data warehousing to construct the ODS layer,DWD layer,DWS layer and ETL layer.Facing the data warehousing topic,the article designs the data warehousing conceptual model,logical model,and physical model based on student performance,providing a model basis for later data mining.展开更多
This paper starts from the theoretical basis of constructivism and development evaluation study that learns the principles of communication, the use of educational psychology and other disciplines of knowledge. It is ...This paper starts from the theoretical basis of constructivism and development evaluation study that learns the principles of communication, the use of educational psychology and other disciplines of knowledge. It is to build a developmental evaluation and characteristics for the idea to the attention of the relevant confidence to meet and the evaluator' s expectations as of the five elements to stimulate learning motivation, build developmental evaluation principles to stimulate learning motivation of process model. Seven strategies are to stimulate and sustain the motivation of college students, while emphasizing mentor in the process of converting role as learner and developmental evaluation. Related strategies are used in the actual teaching of "Mechanical Engineering Materials" , "Graduation Design" , "Engineer Training" course, and it achieved satisfactory teaching effect, playing a role in promoting real learning and comprehensive evaluation of the development of college students.展开更多
With brick-wall solar greenhouses in Changli area as the research object,using temperature dynamic monitoring and statistical methods,the greenhouse structure suitable for promoting early cultivation of local peach tr...With brick-wall solar greenhouses in Changli area as the research object,using temperature dynamic monitoring and statistical methods,the greenhouse structure suitable for promoting early cultivation of local peach trees was selected by studying the temperature data of the solar greenhouses during the winter solstice,and a prediction model for daily average temperature was constructed.The results showed that greenhouse Ⅰ had reasonable structural parameters and good daylight during the day.However,due to the low wall thickness and poor insulation material,the minimum temperature was significantly lower than other greenhouses.The thermal insulation performance of greenhouse Ⅱ and Ⅲ was better than that of greenhouse Ⅰ,but the depth-span ratio and the front roof lighting angle were smaller.During the winter solstice,the average temperature of the three greenhouses was between 10 and 15℃,which was suitable for early cultivation of peach trees.The prediction model of daily average temperature was obtained:Daily average temperature=1.02+0.69×Daily average temperature of the previous day+0.02×Maximum temperature of the previous day-0.01×Minimum temperature of the previous day.To sum up,the structural parameters of brick-wall solar greenhouses suitable for early cultivation of peach trees in Changli area were as follows:span 6.5-8.5 m,depth-span ratio 0.47,front roof lighting angle 30°and wall thickness greater than 55 cm.展开更多
This article analyzes the application strategies of Building Information Modeling(BIM)support technology in a first-class highway reconstruction and expansion project based on its actual situation.According to the bas...This article analyzes the application strategies of Building Information Modeling(BIM)support technology in a first-class highway reconstruction and expansion project based on its actual situation.According to the basic situation of BIM technology and its application goals in this project,it explores application strategies such as BIM model construction,BIM prefabricated structural model deepening and schedule simulation,BIM collision detection,and BIM tunnel pre-construction simulation.Through this analysis,it is hoped to provide a reference for the rational application of BIM support technology and ensure the high-quality and efficient completion of first-class highway reconstruction and expansion projects.展开更多
Agent construction system is a management model of engineering construction that adapts to the governmental investment project. It overcomes the deficiencies of non-professional management, overspending investment bud...Agent construction system is a management model of engineering construction that adapts to the governmental investment project. It overcomes the deficiencies of non-professional management, overspending investment budget, and corruption phenomena, which exist in conventional governmental investment, project in China. By means of agent contract, it is in favor for making investment, construction, management and use separate, and improving the efficiency of project management, and realizing the restrain of financial budgets, and assuring the specialized management. By now, agent construction system in China is popular. This paper researches the practice of agent construction system in China, and analyses the problems of practice, and sets forth the direction and ways of agent construction system.展开更多
Against the backdrop of continuous development in the field of education,universities are encouraged to innovate their talent cultivation systems and objectives.The deep integration of industry and education has emerg...Against the backdrop of continuous development in the field of education,universities are encouraged to innovate their talent cultivation systems and objectives.The deep integration of industry and education has emerged as an effective strategy,aligning with the basic requirements of the new engineering education initiative and exerting a positive impact on socioeconomic development.However,an analysis of the current state of industry-education integration in universities reveals several issues that require optimization,affecting the ultimate effectiveness of integration.To optimize this phenomenon and achieve high-quality development,universities need to further explore the construction of a deep integration model of industry and education,adhering to corresponding principles to form a comprehensive system.On this basis,pathways for deep industry-education integration can be summarized.展开更多
摘要Geometric model construction is the basis of infrared image theory simulation. Taking the construction of the geometric model of one building in Harbin as an example, this paper analyzes the theoretical groundings of simplification and principles of geometric model construction of buildings. It then discusses some particular treatment methods in calculating the radiation transfer coefficient in geometric model construction using the Monte Carlo Method.
基金supported by the National Natural Science Foundation of China (Grant No.42171311)the Open Fund of State Key Laboratory of Remote Sensing Science (Grant No.OFSLRSS202218)+1 种基金the Key Research and Development Program of the Hainan Province,China (Grant No.ZDYF2021SHFZ105)the Training Program of Excellent Master Thesis of Zhejiang Ocean University.
摘要The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture,spatial res-olution,and multiple parameter categories,which is challenging to achieve using satellite remote sensing.Considering the convenient,facilitative,and flexible characteristics of UAV(unmanned air vehicle)remote sensing tech-nology,this study selects a campus as a typical research area and uses the Pegasus D2000 equipped with a D-MSPC2000 multi-spectral camera and a CAM3000 aerial camera to acquire oblique images and multi-spectral data.Using professional software,including Context Capture,ENVI,and ArcGIS,a 3D(three-dimensional)campus model,a digital orthophoto map,and multi-spectral remote sensing map drawing are realized,and the geometric accuracy of typical feature selection is evaluated.Based on a quantitative remote sensing model,the campus ecological environment assessment is performed from the perspectives of vegetation and water body.The results presented in this study could be of great significance to the scientific management and sustainable development of regional natural resources.
基金funded by the National Science VIP specialized project of China(Grant No.2011ZX05025-001-03)by the National Science Foundation of China(Grant No.41274117)
摘要In tomographic statics seismic data processing,it 1s crucial to cletermme an optimum base for a near-surface model.In this paper,we consider near-surface model base determination as a global optimum problem.Given information from uphole shooting and the first-arrival times from a surface seismic survey,we present a near-surface velocity model construction method based on a Monte-Carlo sampling scheme using a layered equivalent medium assumption.Compared with traditional least-squares first-arrival tomography,this scheme can delineate a clearer,weathering-layer base,resulting in a better implementation of damming correction.Examples using synthetic and field data are used to demonstrate the effectiveness of the proposed scheme.
摘要In regard to knowledge economy,the current concept in the model construction of online education,including distance education and online learning,generally refers to a kind of network-based learning behavior,similar to the concept of online training.Compared with traditional offline education methods,through the application of information technology and internet technology for content dissemination and rapid learning,online education has the characteristics of high efficiency,convenience,low threshold,and rich teaching resources.Online education covers a wide range of people,different forms of learning,and its classification methods are more diverse.Online education services are the fastest growing field of education informatization.At the moment,the most pressing problems include effectively integrating educational resources with internet technology,launching online education services and products that are highly interactive and would encourage personalized learning,increasing user stickiness,as well as avoiding trend-following and conceptualized investment.
基金supported by the National Key Research and Development Program of China(grant numbers 2021YFC2009300 and 2021YFC2009302).
摘要Objectives:To investigate the diagnostic value of prostate-specific antigen density(PSAD),prostate volume(PV),free prostate-specific antigen(fPSA),total prostate-specific antigen(tPSA),and fPSAPSA in prostate cancer(PCa)and to construct a risk prediction model based on analyzed risk factors.Methods:Age,Gleason score of pathological biopsy,PV,fPSA,tPSA,fPSAPSA,and PSAD were retrospectively analyzed,and accuracy of the predictive model was evaluated using receiver operating characteristic curve and logistic regression analyses.An age×PSAD product term was introduced to test the interaction between age and PSAD,and the predictive efficacy of PSAD stratified by age was evaluated.Results:Multivariate logistic regression analysis suggested that PV,fPSA,tPSA,fPSAPSA,and PSAD were independent risk factors for PCa(P70-year-old group(OR=33.54,95%CI:19.38 to 58.05)(all P<0.001).Conclusion:The nomogram model constructed based on PV,fPSA,tPSA,fPSAPSA,and PSAD can effectively predict the probability of PCa occurrence.Among these factors,the predictive value of PSAD is age dependent and particularly prominent in individuals aged 60 to 70 years.
摘要Electrical and electronic laboratories are crucial for developing engineering talent,yet they face challenges such as outdated hardware,rigid management,and faculty shortages.This paper proposes an integrated reform model featuring virtual-physical equipment upgrades,open and intelligent management platforms,a dual-qualified teaching team,and a full-process safety assurance system.It offers a practical framework for modernizing such laboratories and supporting the cultivation of high-quality innovative engineering professionals.
摘要Against the backdrop of continuous social development and growing public health demands,the efficiency and scientific nature of the emergency care system are of paramount importance.This paper focuses on researching the construction of an emergency care system based on the concept of“linkage”,delving into its theoretical foundations,exploring innovative construction models,and analyzing practical cases.The study indicates that an emergency care system under the“linkage”concept can effectively integrate resources and enhance efficiency,providing new insights for improving the construction of the emergency care system.It aims to promote the development of the emergency care system towards a more scientific,efficient,and collaborative direction.
摘要With the continuous expansion and increasing complexity of engineering projects, cost forecasting has become particularly critical in project management. To meet the demands of the big data era, this study utilizes extensive historical engineering data to examine the intrinsic relationships and fluctuation patterns of project costs, covering data collection, preprocessing, and key factor analysis. By employing cutting-edge algorithms for comprehensive comparison and intelligent identification of cost-influencing factors, an efficient cost forecasting methodology was developed, achieving accurate predictions of cost trends. Results demonstrate that this method exhibits high forecasting accuracy across various project scenarios, effectively capturing key cost variation characteristics and providing robust insights for budget preparation and risk control. Practical validation confirms that with sufficient data resources and rigorous analysis of critical factors, cost management precision can be significantly enhanced. Overall, this research not only establishes innovative technical approaches for cost forecasting but also advances the digital transformation of project management, offering substantial practical implications and broad application prospects for improving resource allocation efficiency and optimizing project decision-making.
基金supported by the Humanities and Social Sciences of Ministry of Education Planning Fund of China(Grant No.21YJA790009)the National Natural Science Foundation of China(Grant No.72140001).
摘要New energy-storage systems play a pivotal role in the development of the new power system for advancing the energy transition in China.In the“14th Five-Year Plan”for the New Energy-Storage Development,it is proposed to expand investment and construction models by promoting the deployment of energy-storage facilities through the ways of self-construction,leasing,and purchasing,and to encourage the development of the shared energy-storage.However,the current scarcity in the model of the shared energy-storage invest-ment and construction substantially restricts its development,particularly due to unclear mechanisms for cost and benefit allocation,which also discourages potential investors.To address the issue,this paper proposes investment and construction models for shared energy-storage that aligns with the present stage of energy storage development.In specific,three main models are introduced:(1)Cen-tralized Self-built Shared Energy-Storage model(CSSES),(2)Third-party Investment Shared Energy-Storage model(TISES),and(3)Distributed Self-built Shared Energy Storage(DSSES)model.The cost–benefit analysis is conducted for each model.The results indicate that the CSSES model achieves the highest internal rate of return(11.5%)and the shortest payback period,while the DSSES model per-forms acceptable with an IRR of 9.4%.In contrast,the TISES model shows the lowest IRR(6.7%)and requires higher electricity price for being feasible.Furthermore,the study employs the entropy weight method and the analytic hierarchy process(AHP)for indicator eval-uation,and integrates the technique for order preference by the similarity to an ideal solution(TOPSIS)for scheme optimization.The results show that both the CSSES model and the DSSES model achieve the highest proximity scores.Under environmental regulations,these models demonstrate superior economic benefits by optimizing energy storage utilization,reducing user costs,and enhancing overall profitability.
摘要Objective:To address the prediction of hemorrhagic transformation(HT)after rt-PA thrombolysis in acute cerebral infarction(ACI)patients,a predictive model integrating data engineering,algorithm optimization,and modularity was constructed.This model resolves the technical limitation of traditional clinical statistical models that overemphasize analysis while neglecting deployment readiness,thereby providing a reusable technical solution for the implementation of medical risk prediction systems.Methods:A standardized dataset was built using data from 300 ACI patients who underwent rt-PA thrombolysis.Automated data cleaning,outlier correction,and feature engineering optimization(recursive feature elimination+variance inflation factor test)were applied to select core features.An L2-regularized logistic regression algorithm was employed to construct the prediction model,which was visualized via a nomogram.Multi-dimensional performance validation was conducted through cross-validation and probability calibration techniques.Results:The incidence of HT was20.0%.Multivariate analysis identified NIHSS score(OR=1.626),blood glucose(OR=1.662),platelet count(OR=0.975),age(OR=1.091),and history of diabetes(OR=0.343)as core predictors(P<0.05).Engineering validation demonstrated excellent discrimination(AUC=0.800,95%CI:0.752-0.856).After optimization with Platt scaling,the calibration curve was highly consistent with the actual probability,with a Brier score of0.092.The prediction time per sample was<50 ms,and the convergence efficiency of model training was improved by 30%.Conclusion:This model integrates core technologies including data preprocessing,feature optimization,and algorithm improvement,exhibiting low-latency,high stability,and deployability.It provides a standardized technical framework for transforming medical prediction models from statistical conclusions into engineered products.
摘要Objective: This study aimed to construct a machine learning-based prediction model to improve the accuracy and timeliness of risk assessment for postoperative deep vein thrombosis(DVT) in patients with diabetic nephropathy.Methods: Clinical data were collected from 300 patients with diabetic nephropathy who underwent orthopedic surgery in three tertiary hospitals in China between January 2023 and December 2024. According to whether DVT occurred within 30 d postoperatively, the patients were divided into a case group(63 cases) and a control group(237 cases). Twenty-eight features were extracted and preprocessed. Four machine learning models, including XGBoost, LightGBM, random forest, and logistic regression, were established. Model performance was evaluated using 5-fold crossvalidation, with AUC and accuracy as the core metrics. The differences between the models were compared by the DeLong test. Results: There were significant differences in 11 baseline characteristics such as age, BMI, and duration of diabetes between the case group and the control group(P<0.001). Model evaluation showed that the XGBoost model achieved the best performance, with an AUC of 0.832, which was significantly higher than that of the Caprini score;it also outperformed other models in terms of accuracy, sensitivity, and other indicators. Feature importance analysis indicated that operation duration, D-dimer and eGFR were key influencing factors,and the interaction between operation duration and eGFR played a significant role in risk prediction. Conclusion: The machine learning-based XGBoost model is superior to traditional assessment tools in predicting postoperative DVT in patients with diabetic nephropathy undergoing orthopedic surgery, providing a new method for accurate clinical prevention and control.
基金Supported by the Fund Program of Jiangsu Academy of Agricultural Sciences(6111689)the Planning Program of"the Twelfth Five-year-plan"in National Science and Technology for the Rural Developme+nt in China(2015BAD12B04-1.2)the Fund for Independent Innovation of Agricultural Science and Technology of Jiangsu Province[CX(16)1006]~~
摘要The application model of epidemic disease assessment technology for Web-based large-scale pig farm was expounded from the identification of epidemic disease risk factors, construction of risk assessment model and development of risk assessment system. The assessed pig farm uploaded the epidemic disease risk data information through on-line answering evaluating questionnaire to get the immediate evaluation report. The model could enhance the risk communication between pig farm veterinarian, manager and veterinary experts to help farm system understand and find disease risk factors, assess and report the potential high risk items of the pig farm in the three systems of engineering epidemic disease prevention technology, biological safety and immune monitoring, and promote the improvement and perfection of epidemic disease prevention and control measures.
基金This paper was supported by the National Natural Science Foundation of China and the National '863' Hi-Tech Programme of China.
摘要The process of understanding natural language can be viewed as the process of model construction. This paper? employing Kripke frame for intuitionistic logic semantics as the implement of model construction for natural language, introduces a method of incremental model construction.
基金financial support under the Manned Aerospace Research Project(Grant No.040102)。
摘要More space truss construction has been planned to develop and utilize space resources.These trusses are designed in the way of large-scale,complex,modular,and on-orbit assembly.To meet the upcoming challenge of large-scale space infrastructure construction,it is necessary to study space truss automation design and robotic construction.This paper proposes an ordinal finite screw adjacency matrix model(OFSAMM),focusing on the relationship between assembly motions,to express and compute a space truss structure.In this model,a space truss is abstracted as a set of ordered assembly motions,each of which is recorded as a finite screw as the basic element of the truss and its assembly.The operation of truss transformation is also derived under this model.Therefore,the truss configuration,the assembly sequence,the truss sub-assembly,the truss components,and the on-orbit assembly task can be expressed and calculated in a unified model,which is calculated and stores the truss topology and assembly with the minimum storage cost.At the end of this paper,we introduce how to synthesize and optimize space truss design through two cases.The study will help to improve design efficiency.Furthermore,it provides a theoretical basis for the automatic construction of space truss structures,especially in the next stage.
基金This work was supported by the Hainan Provincial Natural Science Foundation of China(project number:622RC723)the Education Department of Hainan Province(project number:Hnky2023-72).
摘要Students’grades not only serve as an effective indicator of their learning achievements but also to some extent reflect the completion of teaching tasks by the instructors.Currently,many universities across the country have collected and recorded various information about students and teachers in the school’s information management system,but it is only a simple storage record and has not effectively excavated hidden information,and data have not been fully utilized.Student performance information,enrolment information,course information,teaching plans,and teacher-related information are currently stored in separate databases,which are independent of each other,making it difficult to perform effective data analysis.Data warehousing technology can integrate various information and use data analysis software to excavate more high-value information,which is convenient for teaching evaluation and optimizing teaching strategies.Based on data warehousing technology,the article uses the hierarchical concept of data warehousing to construct the ODS layer,DWD layer,DWS layer and ETL layer.Facing the data warehousing topic,the article designs the data warehousing conceptual model,logical model,and physical model based on student performance,providing a model basis for later data mining.
摘要This paper starts from the theoretical basis of constructivism and development evaluation study that learns the principles of communication, the use of educational psychology and other disciplines of knowledge. It is to build a developmental evaluation and characteristics for the idea to the attention of the relevant confidence to meet and the evaluator' s expectations as of the five elements to stimulate learning motivation, build developmental evaluation principles to stimulate learning motivation of process model. Seven strategies are to stimulate and sustain the motivation of college students, while emphasizing mentor in the process of converting role as learner and developmental evaluation. Related strategies are used in the actual teaching of "Mechanical Engineering Materials" , "Graduation Design" , "Engineer Training" course, and it achieved satisfactory teaching effect, playing a role in promoting real learning and comprehensive evaluation of the development of college students.
基金Supported by Modern Agricultural Industry Technology System Innovation Team Construction in Hebei Province(HBCT2023130404).
摘要With brick-wall solar greenhouses in Changli area as the research object,using temperature dynamic monitoring and statistical methods,the greenhouse structure suitable for promoting early cultivation of local peach trees was selected by studying the temperature data of the solar greenhouses during the winter solstice,and a prediction model for daily average temperature was constructed.The results showed that greenhouse Ⅰ had reasonable structural parameters and good daylight during the day.However,due to the low wall thickness and poor insulation material,the minimum temperature was significantly lower than other greenhouses.The thermal insulation performance of greenhouse Ⅱ and Ⅲ was better than that of greenhouse Ⅰ,but the depth-span ratio and the front roof lighting angle were smaller.During the winter solstice,the average temperature of the three greenhouses was between 10 and 15℃,which was suitable for early cultivation of peach trees.The prediction model of daily average temperature was obtained:Daily average temperature=1.02+0.69×Daily average temperature of the previous day+0.02×Maximum temperature of the previous day-0.01×Minimum temperature of the previous day.To sum up,the structural parameters of brick-wall solar greenhouses suitable for early cultivation of peach trees in Changli area were as follows:span 6.5-8.5 m,depth-span ratio 0.47,front roof lighting angle 30°and wall thickness greater than 55 cm.
摘要This article analyzes the application strategies of Building Information Modeling(BIM)support technology in a first-class highway reconstruction and expansion project based on its actual situation.According to the basic situation of BIM technology and its application goals in this project,it explores application strategies such as BIM model construction,BIM prefabricated structural model deepening and schedule simulation,BIM collision detection,and BIM tunnel pre-construction simulation.Through this analysis,it is hoped to provide a reference for the rational application of BIM support technology and ensure the high-quality and efficient completion of first-class highway reconstruction and expansion projects.
摘要Agent construction system is a management model of engineering construction that adapts to the governmental investment project. It overcomes the deficiencies of non-professional management, overspending investment budget, and corruption phenomena, which exist in conventional governmental investment, project in China. By means of agent contract, it is in favor for making investment, construction, management and use separate, and improving the efficiency of project management, and realizing the restrain of financial budgets, and assuring the specialized management. By now, agent construction system in China is popular. This paper researches the practice of agent construction system in China, and analyses the problems of practice, and sets forth the direction and ways of agent construction system.
基金2023 Annual Project of the China Association for Construction Education“Research on the Development Path of Private Colleges and Industry Integration in Liaoning Province Under the Strategy of Intelligent Manufacturing Strong Province”(Project number:2023239)。
摘要Against the backdrop of continuous development in the field of education,universities are encouraged to innovate their talent cultivation systems and objectives.The deep integration of industry and education has emerged as an effective strategy,aligning with the basic requirements of the new engineering education initiative and exerting a positive impact on socioeconomic development.However,an analysis of the current state of industry-education integration in universities reveals several issues that require optimization,affecting the ultimate effectiveness of integration.To optimize this phenomenon and achieve high-quality development,universities need to further explore the construction of a deep integration model of industry and education,adhering to corresponding principles to form a comprehensive system.On this basis,pathways for deep industry-education integration can be summarized.