Objective expertise evaluation of individuals,as a prerequisite stage for team formation,has been a long-term desideratum in large software development companies.With the rapid advancements in machine learning methods...Objective expertise evaluation of individuals,as a prerequisite stage for team formation,has been a long-term desideratum in large software development companies.With the rapid advancements in machine learning methods,based on reliable existing data stored in project management tools’datasets,automating this evaluation process becomes a natural step forward.In this context,our approach focuses on quantifying software developer expertise by using metadata from the task-tracking systems.For this,we mathematically formalize two categories of expertise:technology-specific expertise,which denotes the skills required for a particular technology,and general expertise,which encapsulates overall knowledge in the software industry.Afterward,we automatically classify the zones of expertise associated with each task a developer has worked on using Bidirectional Encoder Representations from Transformers(BERT)-like transformers to handle the unique characteristics of project tool datasets effectively.Finally,our method evaluates the proficiency of each software specialist across already completed projects from both technology-specific and general perspectives.The method was experimentally validated,yielding promising results.展开更多
Objective:To investigate the application effects of intelligent guidance systems in optimizing health check-up process management.Methods:A total of 400 examinees who underwent physical examinations at the hospital’s...Objective:To investigate the application effects of intelligent guidance systems in optimizing health check-up process management.Methods:A total of 400 examinees who underwent physical examinations at the hospital’s Health Management Center from January to December 2024 were randomly divided into a control group(200 cases)and an observation group(200 cases).The control group used traditional manual guidance methods,while the observation group employed the intelligent guidance system.The study compared two groups in terms of completion time,waiting time for each procedure,check-up efficiency scores,examinee satisfaction,and report issuance time.Results:The overall examination time in the observation group(85.3±12.7 minutes)was significantly shorter than that in the control group(142.6±18.5 minutes)(P<0.01);average waiting time per procedure decreased by 62.4%;check-up efficiency scores(8.9±0.8 points)were significantly higher than those in the control group(5.2±1.1 points)(P<0.01);satisfaction reached 96.5%,significantly higher than the control group’s 78.0%(P<0.01);and report issuance time was advanced by 1.5 days.Conclusion:Intelligent guidance systems can significantly optimize check-up processes,improve work efficiency,and examinee satisfaction,demonstrating significant clinical application value.展开更多
In the project procurement management process of telecommunication enterprises,due to the complexity of technology,the professional procurement project manager is responsible for the whole process of professional proc...In the project procurement management process of telecommunication enterprises,due to the complexity of technology,the professional procurement project manager is responsible for the whole process of professional procurement in a one-stop way.The integration of this management process superficially improves labor productivity,but in essence lacks effective checks and balances and supervision.In order to supervise the project procurement management process and ensure the legal compliance of procurement management,this paper studies the project procurement management process of telecommunication enterprises,proposes the optimization process of project procurement management in the segmentation of purchasing manager-business manager,and constructs a matrix project procurement management model,which will contribute to the overall improvement of the telecommunication enterprises’procurement performance.展开更多
BACKGROUND The theory of planned behavior(TPB)and whole-course nursing are mainly used for patients with cancer,chronic diseases,and other conditions that require longterm rehabilitation.There are few studies on disea...BACKGROUND The theory of planned behavior(TPB)and whole-course nursing are mainly used for patients with cancer,chronic diseases,and other conditions that require longterm rehabilitation.There are few studies on diseases,such as acute abdomen,for which patients urgently need surgery.Owing to the particularity of acute abdomen and limited preoperative preparation,patients and their families may not fully realize the significance of postoperative rehabilitation and the development of good treatment behavior.Therefore,this study used acute appendicitis as an entry point to explore the influence of TPB and the whole-process management of acute abdominal disease.AIM To examine the impact of TPB-based whole-process management on postoperative rehabilitation and complications in patients with acute appendicitis.METHODS A total of 180 patients enrolled between July 2023 and June 2024 were randomly assigned via computer-generated sequence into two groups in a 1:1 ratio,with 90 cases each.In the control group,17 cases withdrew,leaving 73 cases that ultimately received routine care.In the experimental group,6 cases withdrew,leaving 84 cases that ultimately received full-process TPB management.The postoperative rehabilitation and complications were compared between the two groups.RESULTS The first exhaust time,bowel sound recovery time,first defecation time,first postoperative ground movement time,and postoperative hospital stay were shorter in the experimental group than in the control group(P<0.05).The Visual Analog Scale scores of the experimental group were lower than those of the control group at 6 hours,12 hours,24 hours,and 48 hours postoperatively(P<0.05).The total incidence of complications was lower in the experimental group than in the control group(P<0.05).The total satisfaction rate of the experimental group was higher than that of the control group(P<0.05).In both groups,patients 48 hours postoperatively had lower Self-Rating Anxiety Scale scores than those preoperatively.The Self-Rating Anxiety Scale score of the experimental group at 48 hours was lower than that of the control group(P<0.05).CONCLUSION Whole-process management based on the TPB can shorten the postoperative recovery time in patients with acute appendicitis and reduce the incidence of pain and complications.展开更多
This paper investigates the economic and operational trade-offs between continuous manufacturing and batch processing in the context of biopharmaceutical engineering design,through the lens of project management.The s...This paper investigates the economic and operational trade-offs between continuous manufacturing and batch processing in the context of biopharmaceutical engineering design,through the lens of project management.The study explores the fundamental principles of both manufacturing modes,assesses their implications on capital and operational expenditures,and evaluates their performance against key project management metrics such as cost,time,quality,and risk.Drawing on current regulatory guidance,industrial practices,and technological advances,the paper concludes that while continuous manufacturing offers significant benefits in process efficiency and quality control,its implementation requires substantial upfront investment,risk management,and stakeholder alignment.The study aims to support informed decision-making in early-stage biopharmaceutical facility and process design.展开更多
In this paper, we conduct analysis on the development and optimization of financial management and the benefit distribution pattern from perspective of multi-dimensional cooperation enterprise. Financial management is...In this paper, we conduct analysis on the development and optimization of financial management and the benefit distribution pattern from perspective of multi-dimensional cooperation enterprise. Financial management is the whole process of capital operation of the modern enterprise decision-making, planning and control of the management activities. Financial management is an important part of enterprise management, enterprise＇ s sustainable development requires the financial management in the central position in the management of the enterprise, according to the present our country enterprise financial management of a series of problems, in this paper, starting from the connotation of the enterprise financial management, we analyses the center of the enterprise financial management status and further puts forward some countermeasures to solve from the perspectives of the multi-dimensional cooperation which obtains the satisfactory performance.展开更多
Analysis errors can occur in the desorbing process of ginkgo diterpene lactone meglumine injection(GDMI) by a conventional analysis method, due to several factors, such as easily crystallized samples, solvent volatili...Analysis errors can occur in the desorbing process of ginkgo diterpene lactone meglumine injection(GDMI) by a conventional analysis method, due to several factors, such as easily crystallized samples, solvent volatility, time-consuming sample pre-processing, fixed method, and offline analysis. Based on risk management, near-infrared(NIR) and mid-infrared(MIR) spectroscopy techniques were introduced to solve the above problems with the advantage of timely analysis and non-destructive nature towards samples. The objective of the present study was to identify the feasibility of using NIR or MIR spectroscopy techniques to increase the analysis accuracy of samples from the desorbing process of GDMI. Quantitative models of NIR and MIR were established based on partial least square method and the performances were calculated. Compared to NIR model, MIR model showed greater accuracy and applicability for the analysis of the GDMI desorbing solutions. The relative errors of the concentrations of Ginkgolide A(GA) and Ginkgolide B(GB) were 2.40% and 2.89%, respectively, which were less than 5.00%. The research demonstrated the potential of the MIR spectroscopy technique for the rapid and non-destructive quantitative analysis of the concentrations of GA and GB.展开更多
The assembly process of aerospace products such as satellites and rockets has the characteristics of single-or small-batch production,a long development period,high reliability,and frequent disturbances.How to predict...The assembly process of aerospace products such as satellites and rockets has the characteristics of single-or small-batch production,a long development period,high reliability,and frequent disturbances.How to predict and avoid quality abnormalities,quickly locate their causes,and improve product assembly quality and efficiency are urgent engineering issues.As the core technology to realize the integration of virtual and physical space,digital twin(DT)technology can make full use of the low cost,high efficiency,and predictable advantages of digital space to provide a feasible solution to such problems.Hence,a quality management method for the assembly process of aerospace products based on DT is proposed.Given that traditional quality control methods for the assembly process of aerospace products are mostly post-inspection,the Grey-Markov model and T-K control chart are used with a small sample of assembly quality data to predict the value of quality data and the status of an assembly system.The Apriori algorithm is applied to mine the strong association rules related to quality data anomalies and uncontrolled assembly systems so as to solve the issue that the causes of abnormal quality are complicated and difficult to trace.The implementation of the proposed approach is described,taking the collected centroid data of an aerospace product’s cabin,one of the key quality data in the assembly process of aerospace products,as an example.A DT-based quality management system for the assembly process of aerospace products is developed,which can effectively improve the efficiency of quality management for the assembly process of aerospace products and reduce quality abnormalities.展开更多
With the increasing integration of emerging source-load types such as distributed photovoltaics,electric vehicles,and energy storage into distribution networks,the operational characteristics of these networks have ev...With the increasing integration of emerging source-load types such as distributed photovoltaics,electric vehicles,and energy storage into distribution networks,the operational characteristics of these networks have evolved from traditional single-load centers to complex multi-source,multi-load systems.This transition not only increases the difficulty of effectively classifying distribution networks due to their heightened complexity but also renders traditional energy management approaches-primarily focused on economic objectives-insufficient to meet the growing demands for flexible scheduling and dynamic response.To address these challenges,this paper proposes an adaptive multi-objective energy management strategy that accounts for the distinct operational requirements of distribution networks with a high penetration of new-type source-loads.The goal is to establish a comprehensive energy management framework that optimally balances energy efficiency,carbon reduction,and economic performance in modern distribution networks.To enhance classification accuracy,the strategy constructs amulti-dimensional scenario classification model that integrates environmental and climatic factors by analyzing the operational characteristics of new-type distribution networks and incorporating expert knowledge.An improved split-coupling K-means preclustering algorithm is employed to classify distribution networks effectively.Based on the classification results,fuzzy logic control is then utilized to dynamically optimize the weighting of each objective,allowing for an adaptive adjustment of priorities to achieve a flexible and responsivemulti-objective energy management strategy.The effectiveness of the proposed approach is validated through practical case studies.Simulation results indicate that the proposed method improves classification accuracy by 18.18%compared to traditional classification methods and enhances energy savings and carbon reduction by 4.34%and 20.94%,respectively,compared to the fixed-weight strategy.展开更多
Overmany alarms of modern chemical process give the operators many difficulties to decision and diag- nosis. In order to ensure safe production and process operating, management and optimization of alarm information a...Overmany alarms of modern chemical process give the operators many difficulties to decision and diag- nosis. In order to ensure safe production and process operating, management and optimization of alarm information are challenge work that must be confronted. A new process alarm management method based on fuzzy clustering- ranking algorithm is proposed. The fuzzy clustering algorithm is used to cluster rationally the process variables, and difference driving decision algorithm ranks different clusters and process parameters in every cluster. The alarm signal of higher rank is handled preferentially to manage effectively alarms and avoid blind operation. The validity of proposed algorithm and solution is verified by the practical application of ethylene cracking furnace system. It is an effective and dependable alarm management method to improve operating safety in industrial process.展开更多
Process discovery, as one of the most challenging process analysis techniques, aims to uncover business process models from event logs. Many process discovery approaches were invented in the past twenty years;however,...Process discovery, as one of the most challenging process analysis techniques, aims to uncover business process models from event logs. Many process discovery approaches were invented in the past twenty years;however, most of them have difficulties in handling multi-instance sub-processes. To address this challenge, we first introduce a multi-instance business process model(MBPM) to support the modeling of processes with multiple sub-process instantiations. Formal semantics of MBPMs are precisely defined by using multi-instance Petri nets(MPNs)that are an extension of Petri nets with distinguishable tokens.Then, a novel process discovery technique is developed to support the discovery of MBPMs from event logs with sub-process multi-instantiation information. In addition, we propose to measure the quality of the discovered MBPMs against the input event logs by transforming an MBPM to a classical Petri net such that existing quality metrics, e.g., fitness and precision, can be used.The proposed discovery approach is properly implemented as plugins in the Pro M toolkit. Based on a cloud resource management case study, we compare our approach with the state-of-theart process discovery techniques. The results demonstrate that our approach outperforms existing approaches to discover process models with multi-instance sub-processes.展开更多
The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes...The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes a three leveled digital twinmodel for the systematic PHMof PMSs.The unit-leveled digital twinmodel of each basic device unit of PMSs is constructed based on edge computing,which can provide real-time monitoring and analysis of the device status.The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters,which are deployed for the manufacturing execution on the fog server.The shop-leveled digital twin maintenancemodel is designed for production planning,which gives production instructions fromthe private industrial cloud server.To cope with the dynamic disturbances of a PMS,a big data-driven framework is proposed to control the three-level digital twin models,which contains indicator prediction,influence evaluation,and decisionmaking.Finally,a case study with a real chemical fiber system is introduced to illustrate the effectiveness of the digital twin model with edge-fog-cloud computing for the systematic PHM of PMSs.The result demonstrates that the three-leveled digital twin model for the systematic PHM in PMSs works well in the system’s respects.展开更多
Greenhouse environmental management,seedling bed scheduling,and fertilizer and water management are the core technologies of seedling nursery.Precision management and control of the whole production process guarantees...Greenhouse environmental management,seedling bed scheduling,and fertilizer and water management are the core technologies of seedling nursery.Precision management and control of the whole production process guarantees high grated seedling quality.In order to improve management efficiency of grafted watermelon seedling production and seedling quality,this paper designs and develops a grafted watermelon seedling production management system based on process control methods by process control strategy,seedling bed planning design,and handheld device technology.展开更多
Objective: To evaluate the management process and the guidelines for management of postpartum hemorrhage due to uterine atony at the General Hospital Vienna, Medical University Vienna. Material and Methods: A retrospe...Objective: To evaluate the management process and the guidelines for management of postpartum hemorrhage due to uterine atony at the General Hospital Vienna, Medical University Vienna. Material and Methods: A retrospective analysis was carried out on all 24 cases of postpartum hemorrhage due to uterine atony with an estimated blood loss of more than 800 mL, in which standardized guidelines were obtained. We included all women who gave birth at the General Hospital of Vienna, the Medical University Vienna, during the period from January 1st 2003 and December 31st 2009 and who suffered blood loss 800 mL at minimum due to uterine atony. Results: The guidelines were in use for 14% - 71%. The average blood loss of the 24 cases with uterine atony was 1342 mL. Conclusion: The management process of postpartum hemorrhage due to uterine atony deviates from the hospital’s guidelines in many cases.展开更多
Managing TG-51 reference dosimetry in a large hospital network can be a challenging task. The objectives of this study are to investigate the effectiveness of using Statistical Process Control (SPC) to manage TG-51 wo...Managing TG-51 reference dosimetry in a large hospital network can be a challenging task. The objectives of this study are to investigate the effectiveness of using Statistical Process Control (SPC) to manage TG-51 workflow in such a network. All the sites in the network performed the annual reference dosimetry in water according to TG-51. These data were used to cross-calibrate the same ion chambers in plastic phantoms for monthly QA output measurements. An energy-specific dimensionless beam quality cross-calibration factor, <img src="Edit_6bfb9907-c034-4197-97a7-e8337a7fc21a.png" width="20" height="19" alt="" />, was derived to monitor the process across multiple sites. The SPC analysis was then performed to obtain the mean, <img src="Edit_c630a2dd-f714-4042-a46e-da0ca863cb41.png" width="30" height="20" alt="" /> , standard deviation, <span style="font-size:6.5pt;font-family:;" "=""><span style="white-space:normal;"><span style="font-size:6.5pt;font-family:"">σ</span><span style="white-space:nowrap;"><sub><i>k</i></sub></span></span></span>, the Upper Control Limit (UCL) and Lower Control Limit (LCL) in each beam. This process was first applied to 15 years of historical data at the main campus to assess the effectiveness of the process. A two-year prospective study including all 30 linear accelerators spread over the main campus and seven satellites in the network followed. The ranges of the control limits (±3σ) were found to be in the range of 1.7% - 2.6% and 3.3% - 4.2% for the main campus and the satellite sites respectively. The wider range in the satellite sites was attributed to variations in the workflow. Standardization of workflow was also found to be effective in narrowing the control limits. The SPC is effective in identifying variations in the workflow and was shown to be an effective tool in managing large network reference dosimetry.展开更多
Innovation is managed through the development of processes and routines, considered as critical for business success and value creation. The identification of relevant routines as well as the understanding of which fa...Innovation is managed through the development of processes and routines, considered as critical for business success and value creation. The identification of relevant routines as well as the understanding of which factors affect business innovation is the main objective of this research, based on a survey applied in Portuguese companies and their experience shared in best practices guides. Conclusions highlighted 10 key innovation routines, reinforcing the idea that innovation must be supported through a systematic and sustained management process. Results also indicate that SMEs face greater difficulties in benefiting from the potential of innovation practices and collaboration may present opportunities to overcome their limited resources. Therefore, regardless of size, business activity, science and technology intensity or other factors influencing firms dynamic capabilities, innovation should be considered as a management imperative as it can influence not only the present but also the future of business success.展开更多
The risk prevention and control in construction projects heavily relies on the systematic optimization of on-site safety management measures.Studies show that technical means such as safety education and training,dyna...The risk prevention and control in construction projects heavily relies on the systematic optimization of on-site safety management measures.Studies show that technical means such as safety education and training,dynamic monitoring of hazard sources directly reduce the probability of accidents.The full-staff responsibility system and performance evaluation indirectly enhance the resilience of risk prevention and control by shaping a culture of risk awareness.Based on the new local safety officer qualification regulations and the mandatory promotion of digital tools by 2025,case analysis indicates that the collaborative application of BIM and AI early warning platforms can reduce the risk of falls from height by 45%.The rigid constraints of systems,technological innovation and iteration,and the cultivation of cultural ecosystems form a multi-dimensional collaborative mechanism.In the future,it is necessary to integrate intelligent perception with green construction standards to achieve an upgrade in risk management efficiency.展开更多
The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums,which can result in connection loss...The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums,which can result in connection loss for some users.To combat this,the traffic load of base stations should be kept as balanced as possible.In this paper,we propose an efficient load balancing-aware handover algorithm for highly dynamic beyond 5G heterogeneous networks by assigning mobile users to base stations with lighter loads when a handover is performed.The proposed algorithm is evaluated in a scenario with users having different levels of mobility,such as pedestrians and vehicles,and is shown to outperform the conventional handover mechanism,as well as another algorithm from the literature.As a secondary benefit,the overall energy consumption in the network is shown to be reduced with the proposed algorithm.展开更多
Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' o...Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' of BPM methodologies is identified, a six-phaseperformance-driven BPM methodology for the production and operation processes of Chinese SMEs isdeveloped. A case study on the process management of a medium-sized enterprise shows a successfulexample of running the methodology.展开更多
Objective To explore the effectiveness and value of constructing a whole-course management scheme for prostate cancer patients based on internet plus model.Methods Based on the principles of scientificity,practicabili...Objective To explore the effectiveness and value of constructing a whole-course management scheme for prostate cancer patients based on internet plus model.Methods Based on the principles of scientificity,practicability and humanization,the whole process management scheme was constructed,which included the patient end,the medical care end and the management end,with specific modules such as patient information management and health education.Before and after comparative study and case-control study were used to evaluate the effect of the scheme,and an evaluation index system was established from the aspects of patients'health status,treatment compliance,utilization efficiency of medical resources and patient satisfaction.Data were collected through questionnaire survey,medical record review and systematic data analysis.Results After the implementation of the program,the level of prostate specific antigen decreased significantly,the quality of life score improved,the implementation rate of treatment plan and the rate of taking drugs on time increased,the hospitalization time shortened,the repetition rate of examinations decreased,and the overall satisfaction of patients improved.However,factors such as patients'age,education level,economic status and Internet use ability will affect the effect of the scheme,and corresponding improvement measures are put forward in view of these factors.Conclusion The whole-course management scheme of prostate cancer patients based on internet plus model is scientific and effective,which can significantly improve patients'health status and treatment effect,and optimize the utilization of medical resources.However,it is necessary to pay attention to the influencing factors and make continuous improvement to better serve prostate cancer patients.展开更多
基金supported by the project“Romanian Hub for Artificial Intelligence-HRIA”,Smart Growth,Digitization and Financial Instruments Program,2021–2027,MySMIS No.334906.
文摘Objective expertise evaluation of individuals,as a prerequisite stage for team formation,has been a long-term desideratum in large software development companies.With the rapid advancements in machine learning methods,based on reliable existing data stored in project management tools’datasets,automating this evaluation process becomes a natural step forward.In this context,our approach focuses on quantifying software developer expertise by using metadata from the task-tracking systems.For this,we mathematically formalize two categories of expertise:technology-specific expertise,which denotes the skills required for a particular technology,and general expertise,which encapsulates overall knowledge in the software industry.Afterward,we automatically classify the zones of expertise associated with each task a developer has worked on using Bidirectional Encoder Representations from Transformers(BERT)-like transformers to handle the unique characteristics of project tool datasets effectively.Finally,our method evaluates the proficiency of each software specialist across already completed projects from both technology-specific and general perspectives.The method was experimentally validated,yielding promising results.
文摘Objective:To investigate the application effects of intelligent guidance systems in optimizing health check-up process management.Methods:A total of 400 examinees who underwent physical examinations at the hospital’s Health Management Center from January to December 2024 were randomly divided into a control group(200 cases)and an observation group(200 cases).The control group used traditional manual guidance methods,while the observation group employed the intelligent guidance system.The study compared two groups in terms of completion time,waiting time for each procedure,check-up efficiency scores,examinee satisfaction,and report issuance time.Results:The overall examination time in the observation group(85.3±12.7 minutes)was significantly shorter than that in the control group(142.6±18.5 minutes)(P<0.01);average waiting time per procedure decreased by 62.4%;check-up efficiency scores(8.9±0.8 points)were significantly higher than those in the control group(5.2±1.1 points)(P<0.01);satisfaction reached 96.5%,significantly higher than the control group’s 78.0%(P<0.01);and report issuance time was advanced by 1.5 days.Conclusion:Intelligent guidance systems can significantly optimize check-up processes,improve work efficiency,and examinee satisfaction,demonstrating significant clinical application value.
文摘In the project procurement management process of telecommunication enterprises,due to the complexity of technology,the professional procurement project manager is responsible for the whole process of professional procurement in a one-stop way.The integration of this management process superficially improves labor productivity,but in essence lacks effective checks and balances and supervision.In order to supervise the project procurement management process and ensure the legal compliance of procurement management,this paper studies the project procurement management process of telecommunication enterprises,proposes the optimization process of project procurement management in the segmentation of purchasing manager-business manager,and constructs a matrix project procurement management model,which will contribute to the overall improvement of the telecommunication enterprises’procurement performance.
文摘BACKGROUND The theory of planned behavior(TPB)and whole-course nursing are mainly used for patients with cancer,chronic diseases,and other conditions that require longterm rehabilitation.There are few studies on diseases,such as acute abdomen,for which patients urgently need surgery.Owing to the particularity of acute abdomen and limited preoperative preparation,patients and their families may not fully realize the significance of postoperative rehabilitation and the development of good treatment behavior.Therefore,this study used acute appendicitis as an entry point to explore the influence of TPB and the whole-process management of acute abdominal disease.AIM To examine the impact of TPB-based whole-process management on postoperative rehabilitation and complications in patients with acute appendicitis.METHODS A total of 180 patients enrolled between July 2023 and June 2024 were randomly assigned via computer-generated sequence into two groups in a 1:1 ratio,with 90 cases each.In the control group,17 cases withdrew,leaving 73 cases that ultimately received routine care.In the experimental group,6 cases withdrew,leaving 84 cases that ultimately received full-process TPB management.The postoperative rehabilitation and complications were compared between the two groups.RESULTS The first exhaust time,bowel sound recovery time,first defecation time,first postoperative ground movement time,and postoperative hospital stay were shorter in the experimental group than in the control group(P<0.05).The Visual Analog Scale scores of the experimental group were lower than those of the control group at 6 hours,12 hours,24 hours,and 48 hours postoperatively(P<0.05).The total incidence of complications was lower in the experimental group than in the control group(P<0.05).The total satisfaction rate of the experimental group was higher than that of the control group(P<0.05).In both groups,patients 48 hours postoperatively had lower Self-Rating Anxiety Scale scores than those preoperatively.The Self-Rating Anxiety Scale score of the experimental group at 48 hours was lower than that of the control group(P<0.05).CONCLUSION Whole-process management based on the TPB can shorten the postoperative recovery time in patients with acute appendicitis and reduce the incidence of pain and complications.
文摘This paper investigates the economic and operational trade-offs between continuous manufacturing and batch processing in the context of biopharmaceutical engineering design,through the lens of project management.The study explores the fundamental principles of both manufacturing modes,assesses their implications on capital and operational expenditures,and evaluates their performance against key project management metrics such as cost,time,quality,and risk.Drawing on current regulatory guidance,industrial practices,and technological advances,the paper concludes that while continuous manufacturing offers significant benefits in process efficiency and quality control,its implementation requires substantial upfront investment,risk management,and stakeholder alignment.The study aims to support informed decision-making in early-stage biopharmaceutical facility and process design.
文摘In this paper, we conduct analysis on the development and optimization of financial management and the benefit distribution pattern from perspective of multi-dimensional cooperation enterprise. Financial management is the whole process of capital operation of the modern enterprise decision-making, planning and control of the management activities. Financial management is an important part of enterprise management, enterprise＇ s sustainable development requires the financial management in the central position in the management of the enterprise, according to the present our country enterprise financial management of a series of problems, in this paper, starting from the connotation of the enterprise financial management, we analyses the center of the enterprise financial management status and further puts forward some countermeasures to solve from the perspectives of the multi-dimensional cooperation which obtains the satisfactory performance.
基金supported by a grant from the National Ministry of Science and Technology(No.2013ZX09402203)
文摘Analysis errors can occur in the desorbing process of ginkgo diterpene lactone meglumine injection(GDMI) by a conventional analysis method, due to several factors, such as easily crystallized samples, solvent volatility, time-consuming sample pre-processing, fixed method, and offline analysis. Based on risk management, near-infrared(NIR) and mid-infrared(MIR) spectroscopy techniques were introduced to solve the above problems with the advantage of timely analysis and non-destructive nature towards samples. The objective of the present study was to identify the feasibility of using NIR or MIR spectroscopy techniques to increase the analysis accuracy of samples from the desorbing process of GDMI. Quantitative models of NIR and MIR were established based on partial least square method and the performances were calculated. Compared to NIR model, MIR model showed greater accuracy and applicability for the analysis of the GDMI desorbing solutions. The relative errors of the concentrations of Ginkgolide A(GA) and Ginkgolide B(GB) were 2.40% and 2.89%, respectively, which were less than 5.00%. The research demonstrated the potential of the MIR spectroscopy technique for the rapid and non-destructive quantitative analysis of the concentrations of GA and GB.
基金National Key Research and Development Program of China(Grant No.2020YFB1710300)National Natural Science Foundation of China(Grant No.52005042)+2 种基金National Defense Fundamental Research Foundation of China(Grant No.JCKY2020203B039)Equipment Pre-research Foundation of China(Grant No.80923010101)Beijing Institute of Technology Research Fund Program for Young Scholars.
文摘The assembly process of aerospace products such as satellites and rockets has the characteristics of single-or small-batch production,a long development period,high reliability,and frequent disturbances.How to predict and avoid quality abnormalities,quickly locate their causes,and improve product assembly quality and efficiency are urgent engineering issues.As the core technology to realize the integration of virtual and physical space,digital twin(DT)technology can make full use of the low cost,high efficiency,and predictable advantages of digital space to provide a feasible solution to such problems.Hence,a quality management method for the assembly process of aerospace products based on DT is proposed.Given that traditional quality control methods for the assembly process of aerospace products are mostly post-inspection,the Grey-Markov model and T-K control chart are used with a small sample of assembly quality data to predict the value of quality data and the status of an assembly system.The Apriori algorithm is applied to mine the strong association rules related to quality data anomalies and uncontrolled assembly systems so as to solve the issue that the causes of abnormal quality are complicated and difficult to trace.The implementation of the proposed approach is described,taking the collected centroid data of an aerospace product’s cabin,one of the key quality data in the assembly process of aerospace products,as an example.A DT-based quality management system for the assembly process of aerospace products is developed,which can effectively improve the efficiency of quality management for the assembly process of aerospace products and reduce quality abnormalities.
基金supported by the Science and Technology Project of the Headquarters of the State Grid Corporation(project code:5400-202323233A-1-1-ZN).
文摘With the increasing integration of emerging source-load types such as distributed photovoltaics,electric vehicles,and energy storage into distribution networks,the operational characteristics of these networks have evolved from traditional single-load centers to complex multi-source,multi-load systems.This transition not only increases the difficulty of effectively classifying distribution networks due to their heightened complexity but also renders traditional energy management approaches-primarily focused on economic objectives-insufficient to meet the growing demands for flexible scheduling and dynamic response.To address these challenges,this paper proposes an adaptive multi-objective energy management strategy that accounts for the distinct operational requirements of distribution networks with a high penetration of new-type source-loads.The goal is to establish a comprehensive energy management framework that optimally balances energy efficiency,carbon reduction,and economic performance in modern distribution networks.To enhance classification accuracy,the strategy constructs amulti-dimensional scenario classification model that integrates environmental and climatic factors by analyzing the operational characteristics of new-type distribution networks and incorporating expert knowledge.An improved split-coupling K-means preclustering algorithm is employed to classify distribution networks effectively.Based on the classification results,fuzzy logic control is then utilized to dynamically optimize the weighting of each objective,allowing for an adaptive adjustment of priorities to achieve a flexible and responsivemulti-objective energy management strategy.The effectiveness of the proposed approach is validated through practical case studies.Simulation results indicate that the proposed method improves classification accuracy by 18.18%compared to traditional classification methods and enhances energy savings and carbon reduction by 4.34%and 20.94%,respectively,compared to the fixed-weight strategy.
基金Partially supported by the National Natural Science Foundation of China (No. 29976003), the Key Research Project ofScience and Technology from Ministry of Education in China (No. 01024), and Sinopec Science & Technology DevelopmentProject (No. E03007)
文摘Overmany alarms of modern chemical process give the operators many difficulties to decision and diag- nosis. In order to ensure safe production and process operating, management and optimization of alarm information are challenge work that must be confronted. A new process alarm management method based on fuzzy clustering- ranking algorithm is proposed. The fuzzy clustering algorithm is used to cluster rationally the process variables, and difference driving decision algorithm ranks different clusters and process parameters in every cluster. The alarm signal of higher rank is handled preferentially to manage effectively alarms and avoid blind operation. The validity of proposed algorithm and solution is verified by the practical application of ethylene cracking furnace system. It is an effective and dependable alarm management method to improve operating safety in industrial process.
基金supported by the National Natural Science Foundation of China(61902222)the Taishan Scholars Program of Shandong Province(tsqn201909109)+1 种基金the Natural Science Excellent Youth Foundation of Shandong Province(ZR2021YQ45)the Youth Innovation Science and Technology Team Foundation of Shandong Higher School(2021KJ031)。
文摘Process discovery, as one of the most challenging process analysis techniques, aims to uncover business process models from event logs. Many process discovery approaches were invented in the past twenty years;however, most of them have difficulties in handling multi-instance sub-processes. To address this challenge, we first introduce a multi-instance business process model(MBPM) to support the modeling of processes with multiple sub-process instantiations. Formal semantics of MBPMs are precisely defined by using multi-instance Petri nets(MPNs)that are an extension of Petri nets with distinguishable tokens.Then, a novel process discovery technique is developed to support the discovery of MBPMs from event logs with sub-process multi-instantiation information. In addition, we propose to measure the quality of the discovered MBPMs against the input event logs by transforming an MBPM to a classical Petri net such that existing quality metrics, e.g., fitness and precision, can be used.The proposed discovery approach is properly implemented as plugins in the Pro M toolkit. Based on a cloud resource management case study, we compare our approach with the state-of-theart process discovery techniques. The results demonstrate that our approach outperforms existing approaches to discover process models with multi-instance sub-processes.
基金supported by the Fundamental Research Funds for The Central Universities(Grant No.2232021A-08)National Natural Science Foundation of China(GrantNo.51905091)Shanghai Sailing Program(Grand No.19YF1401500).
文摘The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes a three leveled digital twinmodel for the systematic PHMof PMSs.The unit-leveled digital twinmodel of each basic device unit of PMSs is constructed based on edge computing,which can provide real-time monitoring and analysis of the device status.The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters,which are deployed for the manufacturing execution on the fog server.The shop-leveled digital twin maintenancemodel is designed for production planning,which gives production instructions fromthe private industrial cloud server.To cope with the dynamic disturbances of a PMS,a big data-driven framework is proposed to control the three-level digital twin models,which contains indicator prediction,influence evaluation,and decisionmaking.Finally,a case study with a real chemical fiber system is introduced to illustrate the effectiveness of the digital twin model with edge-fog-cloud computing for the systematic PHM of PMSs.The result demonstrates that the three-leveled digital twin model for the systematic PHM in PMSs works well in the system’s respects.
基金the National High Technology Research and Development Program (863) of China(No.2012AA101903)the Shanghai Municipal Agriculture Commission Program(No.20100401)+1 种基金the Science and Technology Commission of Shanghai Municipality Program(No.11DZ1960203)the Shanghai Watermelon and Melon Industry Technology System and the Shanghai Leading Academic Discipline Project Program(No.B209)
文摘Greenhouse environmental management,seedling bed scheduling,and fertilizer and water management are the core technologies of seedling nursery.Precision management and control of the whole production process guarantees high grated seedling quality.In order to improve management efficiency of grafted watermelon seedling production and seedling quality,this paper designs and develops a grafted watermelon seedling production management system based on process control methods by process control strategy,seedling bed planning design,and handheld device technology.
文摘Objective: To evaluate the management process and the guidelines for management of postpartum hemorrhage due to uterine atony at the General Hospital Vienna, Medical University Vienna. Material and Methods: A retrospective analysis was carried out on all 24 cases of postpartum hemorrhage due to uterine atony with an estimated blood loss of more than 800 mL, in which standardized guidelines were obtained. We included all women who gave birth at the General Hospital of Vienna, the Medical University Vienna, during the period from January 1st 2003 and December 31st 2009 and who suffered blood loss 800 mL at minimum due to uterine atony. Results: The guidelines were in use for 14% - 71%. The average blood loss of the 24 cases with uterine atony was 1342 mL. Conclusion: The management process of postpartum hemorrhage due to uterine atony deviates from the hospital’s guidelines in many cases.
文摘Managing TG-51 reference dosimetry in a large hospital network can be a challenging task. The objectives of this study are to investigate the effectiveness of using Statistical Process Control (SPC) to manage TG-51 workflow in such a network. All the sites in the network performed the annual reference dosimetry in water according to TG-51. These data were used to cross-calibrate the same ion chambers in plastic phantoms for monthly QA output measurements. An energy-specific dimensionless beam quality cross-calibration factor, <img src="Edit_6bfb9907-c034-4197-97a7-e8337a7fc21a.png" width="20" height="19" alt="" />, was derived to monitor the process across multiple sites. The SPC analysis was then performed to obtain the mean, <img src="Edit_c630a2dd-f714-4042-a46e-da0ca863cb41.png" width="30" height="20" alt="" /> , standard deviation, <span style="font-size:6.5pt;font-family:;" "=""><span style="white-space:normal;"><span style="font-size:6.5pt;font-family:"">σ</span><span style="white-space:nowrap;"><sub><i>k</i></sub></span></span></span>, the Upper Control Limit (UCL) and Lower Control Limit (LCL) in each beam. This process was first applied to 15 years of historical data at the main campus to assess the effectiveness of the process. A two-year prospective study including all 30 linear accelerators spread over the main campus and seven satellites in the network followed. The ranges of the control limits (±3σ) were found to be in the range of 1.7% - 2.6% and 3.3% - 4.2% for the main campus and the satellite sites respectively. The wider range in the satellite sites was attributed to variations in the workflow. Standardization of workflow was also found to be effective in narrowing the control limits. The SPC is effective in identifying variations in the workflow and was shown to be an effective tool in managing large network reference dosimetry.
文摘Innovation is managed through the development of processes and routines, considered as critical for business success and value creation. The identification of relevant routines as well as the understanding of which factors affect business innovation is the main objective of this research, based on a survey applied in Portuguese companies and their experience shared in best practices guides. Conclusions highlighted 10 key innovation routines, reinforcing the idea that innovation must be supported through a systematic and sustained management process. Results also indicate that SMEs face greater difficulties in benefiting from the potential of innovation practices and collaboration may present opportunities to overcome their limited resources. Therefore, regardless of size, business activity, science and technology intensity or other factors influencing firms dynamic capabilities, innovation should be considered as a management imperative as it can influence not only the present but also the future of business success.
文摘The risk prevention and control in construction projects heavily relies on the systematic optimization of on-site safety management measures.Studies show that technical means such as safety education and training,dynamic monitoring of hazard sources directly reduce the probability of accidents.The full-staff responsibility system and performance evaluation indirectly enhance the resilience of risk prevention and control by shaping a culture of risk awareness.Based on the new local safety officer qualification regulations and the mandatory promotion of digital tools by 2025,case analysis indicates that the collaborative application of BIM and AI early warning platforms can reduce the risk of falls from height by 45%.The rigid constraints of systems,technological innovation and iteration,and the cultivation of cultural ecosystems form a multi-dimensional collaborative mechanism.In the future,it is necessary to integrate intelligent perception with green construction standards to achieve an upgrade in risk management efficiency.
基金supported in part by the Istanbul Technical University Scientific Research Projects Coordination Unit under Grant FHD-2024-45764in part by TUBITAK 1515 Frontier R&D Laboratories Support Program for Turkcell 6GEN LAB under Grant 5229902Turkcell Technology R&D Center(Law no.5746)has partially supported this study。
文摘The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums,which can result in connection loss for some users.To combat this,the traffic load of base stations should be kept as balanced as possible.In this paper,we propose an efficient load balancing-aware handover algorithm for highly dynamic beyond 5G heterogeneous networks by assigning mobile users to base stations with lighter loads when a handover is performed.The proposed algorithm is evaluated in a scenario with users having different levels of mobility,such as pedestrians and vehicles,and is shown to outperform the conventional handover mechanism,as well as another algorithm from the literature.As a secondary benefit,the overall energy consumption in the network is shown to be reduced with the proposed algorithm.
文摘Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' of BPM methodologies is identified, a six-phaseperformance-driven BPM methodology for the production and operation processes of Chinese SMEs isdeveloped. A case study on the process management of a medium-sized enterprise shows a successfulexample of running the methodology.
文摘Objective To explore the effectiveness and value of constructing a whole-course management scheme for prostate cancer patients based on internet plus model.Methods Based on the principles of scientificity,practicability and humanization,the whole process management scheme was constructed,which included the patient end,the medical care end and the management end,with specific modules such as patient information management and health education.Before and after comparative study and case-control study were used to evaluate the effect of the scheme,and an evaluation index system was established from the aspects of patients'health status,treatment compliance,utilization efficiency of medical resources and patient satisfaction.Data were collected through questionnaire survey,medical record review and systematic data analysis.Results After the implementation of the program,the level of prostate specific antigen decreased significantly,the quality of life score improved,the implementation rate of treatment plan and the rate of taking drugs on time increased,the hospitalization time shortened,the repetition rate of examinations decreased,and the overall satisfaction of patients improved.However,factors such as patients'age,education level,economic status and Internet use ability will affect the effect of the scheme,and corresponding improvement measures are put forward in view of these factors.Conclusion The whole-course management scheme of prostate cancer patients based on internet plus model is scientific and effective,which can significantly improve patients'health status and treatment effect,and optimize the utilization of medical resources.However,it is necessary to pay attention to the influencing factors and make continuous improvement to better serve prostate cancer patients.
