Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational s...Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational scenarios,considering the large amount of historical operational snapshot data.Specifically,DTSAs analyse the intrinsic mechanisms of different scheduling operational scenario switching to mathematically represent typical operational scenarios.A Gramian angular summation field-based operational scenario image encoder was designed to convert operational scenario sequences into highdimensional spaces.This enables DTSAs to fully capture the spatiotemporal characteristics of new power systems using deep feature iterative aggregation models.The encoder also facilitates the generation of typical operational scenarios that conform to historical data distributions while ensuring the integrity of grid operational snapshots.Case studies demonstrate that the proposed method extracted new fine-grained power system dispatch schemes and outperformed the latest high-dimensional feature-screening methods.In addition,experiments with different new energy access ratios were conducted to verify the robustness of the proposed method.DTSAs enable dispatchers to master the operation experience of the power system in advance,and actively respond to the dynamic changes of the operation scenarios under the high access rate of new energy.展开更多
Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources.This paper proposes a wind-solar hybrid energy storage system(HESS)to ensure a stable supply grid for a longe...Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources.This paper proposes a wind-solar hybrid energy storage system(HESS)to ensure a stable supply grid for a longer period.A multi-objective genetic algorithm(MOGA)and state of charge(SOC)region division for the batteries are introduced to solve the objective function and configuration of the system capacity,respectively.MATLAB/Simulink was used for simulation test.The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system,with a combination of a 300 Ah lithium battery,a 200 Ah lead-acid battery,and a water storage tank,the proposed strategy reduces the system construction cost by approximately 18,000 yuan.Additionally,the cycle count of the electrochemical energy storage systemincreases from4515 to 4660,while the depth of discharge decreases from 55.37%to 53.65%,achieving shallow charging and discharging,thereby extending battery life and reducing grid voltage fluctuations significantly.The proposed strategy is a guide for stabilizing the grid connection of wind and solar power generation,capability allocation,and energy management of energy conservation systems.展开更多
Hydrogen energy,with its abundant reserves,green and low-carbon characteristic,high energy density,diverse sources,and wide applications,is gradually becoming an important carrier in the global energy transformation a...Hydrogen energy,with its abundant reserves,green and low-carbon characteristic,high energy density,diverse sources,and wide applications,is gradually becoming an important carrier in the global energy transformation and development.In this paper,the off-grid wind power hydrogen production system is considered as the research object,and the operating characteristics of a proton exchange membrane(PEM)electrolysis cell,including underload,overload,variable load,and start-stop are analyzed.On this basis,the characteristic extraction of wind power output data after noise reduction is carried out,and then the self-organizing mapping neural network algorithm is used for clustering to extract typical wind power output scenarios and perform weight distribution based on the statistical probability.The trend and fluctuation components are superimposed to generate the typical operating conditions of an off-grid PEM electrolytic hydrogen production system.The historical output data of an actual wind farm are used for the case study,and the results confirm the feasibility of the method proposed in this study for obtaining the typical conditions of off-grid wind power hydrogen production.The results provide a basis for studying the dynamic operation characteristics of PEM electrolytic hydrogen production systems,and the performance degradation mechanism of PEM electrolysis cells under fluctuating inputs.展开更多
Operating System(OS)is a critical piece of software that manages a computer’s hardware and resources,acting as the intermediary between the computer and the user.The existing OS is not designed for Big Data and Cloud...Operating System(OS)is a critical piece of software that manages a computer’s hardware and resources,acting as the intermediary between the computer and the user.The existing OS is not designed for Big Data and Cloud Computing,resulting in data processing and management inefficiency.This paper proposes a simplified and improved kernel on an x86 system designed for Big Data and Cloud Computing purposes.The proposed algorithm utilizes the performance benefits from the improved Input/Output(I/O)performance.The performance engineering runs the data-oriented design on traditional data management to improve data processing speed by reducing memory access overheads in conventional data management.The OS incorporates a data-oriented design to“modernize”various Data Science and management aspects.The resulting OS contains a basic input/output system(BIOS)bootloader that boots into Intel 32-bit protected mode,a text display terminal,4 GB paging memory,4096 heap block size,a Hard Disk Drive(HDD)I/O Advanced Technology Attachment(ATA)driver and more.There are also I/O scheduling algorithm prototypes that demonstrate how a simple Sweeping algorithm is superior to more conventionally known I/O scheduling algorithms.A MapReduce prototype is implemented using Message Passing Interface(MPI)for big data purposes.An attempt was made to optimize binary search using modern performance engineering and data-oriented design.展开更多
Background: Technical skills play an integral part in perioperative nurse work in preventing adverse outcome in operating rooms (OR). Pervasive critical shortage of skills and evolution of technologies has pushed for ...Background: Technical skills play an integral part in perioperative nurse work in preventing adverse outcome in operating rooms (OR). Pervasive critical shortage of skills and evolution of technologies has pushed for integration of different approaches to training to address the deficit in technical skills. Objective: The aim is to investigate the impact of training in technical skills on operating theatre nurses’ clinical competence and describe important factors of clinical competence for operating theatre nurses (OTNs). Method: We used systematic review of the evidences on the best practice in design and delivery of training for operating theatre nurses. The review systematically searched for six relevant articles in PubMed, CINAHL and Embase using keywords and mesh terms for studies on training of perioperative nurses in December 2024. We extracted information on training and the impact of training on participant’s technical skills. Results: The systematic review screened 518 sources from the three identified databases where six peer-reviewed sources met the inclusion criteria developed by the authors and were included for analysis. The authors used the Cochrane Risk of Bias tool to assess the level of empirical evidence based on five domains of bias. Finding: Our findings demonstrate that simulation and technology-based approaches significantly improve nurses’ technical skills and confidence. Conclusion: The review underscores the importance of structured and technology-driven training programs in enhancing operating room (OR) nurses’ technical skills. The lack of standardized training approaches and limited research on long-term outcome indicates a need for further studies to optimize training designs and delivery methods for operating room nurses.展开更多
Ground source heat pump systems demonstrate significant potential for northern rural heating applications;however,the effectiveness of these systems is often limited by challenging geological conditions.For instance,i...Ground source heat pump systems demonstrate significant potential for northern rural heating applications;however,the effectiveness of these systems is often limited by challenging geological conditions.For instance,in certain regions,the installation of buried pipes for heat exchangers may be complicated,and these pipes may not always serve as efficient low-temperature heat sources for the heat pumps of the system.To address this issue,the current study explored the use of solar-energy-collecting equipment to supplement buried pipes.In this design,both solar energy and geothermal energy provide low-temperature heat to the heat pump.First,a simulation model of a solar‒ground source heat pump coupling system was established using TRNSYS.The accuracy of this model was validated through experiments and simulations on various system configurations,including varying numbers of buried pipes,different areas of solar collectors,and varying volumes of water tanks.The simulations examined the coupling characteristics of these components and their influence on system performance.The results revealed that the operating parameters of the system remained consistent across the following configurations:three buried pipes,burial depth of 20 m,collector area of 6 m^(2),and water tank volume of 0.5 m^(3);four buried pipes,burial depth of 20 m,collector area of 3 m^(2),and water tank volume of 0.5 m^(3);and five buried pipes with a burial depth of 20 m.Furthermore,the heat collection capacity of the solar collectors spanning an area of 3 m^(2)was found to be equivalent to that of one buried pipe.Moreover,the findings revealed that the solar‒ground source heat pump coupling system demonstrated a lower annual cumulative energy consumption compared to the ground source heat pump system,presenting a reduction of 5.31%compared to the energy consumption of the latter.展开更多
In this paper,a bilevel optimization model of an integrated energy operator(IEO)–load aggregator(LA)is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy sys...In this paper,a bilevel optimization model of an integrated energy operator(IEO)–load aggregator(LA)is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy system(IIES).The upper level represents the integrated energy operator,and the lower level is the electricity-heatgas load aggregator.Owing to the benefit conflict between the upper and lower levels of the IIES,a dynamic pricing mechanism for coordinating the interests of the upper and lower levels is proposed,combined with factors such as the carbon emissions of the IIES,as well as the lower load interruption power.The price of selling energy can be dynamically adjusted to the lower LA in the mechanism,according to the information on carbon emissions and load interruption power.Mutual benefits and win-win situations are achieved between the upper and lower multistakeholders.Finally,CPLEX is used to iteratively solve the bilevel optimization model.The optimal solution is selected according to the joint optimal discrimination mechanism.Thesimulation results indicate that the sourceload coordinate operation can reduce the upper and lower operation costs.Using the proposed pricingmechanism,the carbon emissions and load interruption power of IEO-LA are reduced by 9.78%and 70.19%,respectively,and the capture power of the carbon capture equipment is improved by 36.24%.The validity of the proposed model and method is verified.展开更多
A Receiver Operating Characteristic(ROC)analysis of a power is important and useful in clinical trials.A Classical Conditional Power(CCP)is a probability of a classical rejection region given values of true treatment ...A Receiver Operating Characteristic(ROC)analysis of a power is important and useful in clinical trials.A Classical Conditional Power(CCP)is a probability of a classical rejection region given values of true treatment effect and interim result.For hypotheses and reversed hypotheses under normal models,we obtain analytical expressions of the ROC curves of the CCP,find optimal ROC curves of the CCP,investigate the superiority of the ROC curves of the CCP,calculate critical values of the False Positive Rate(FPR),True Positive Rate(TPR),and cutoff of the optimal CCP,and give go/no go decisions at the interim of the optimal CCP.In addition,extensive numerical experiments are carried out to exemplify our theoretical results.Finally,a real data example is performed to illustrate the go/no go decisions of the optimal CCP.展开更多
In order to accurately forecast the main engine fuel consumption and reduce the Energy Efficiency Operational Indicator(EEOI)of merchant ships in polar ice areas,the energy transfer relationship between ship-machine-p...In order to accurately forecast the main engine fuel consumption and reduce the Energy Efficiency Operational Indicator(EEOI)of merchant ships in polar ice areas,the energy transfer relationship between ship-machine-propeller is studied by analyzing the complex force situation during ship navigation and building a MATLAB/Simulink simulation platform based on multi-environmental resistance,propeller efficiency,main engine power,fuel consumption,fuel consumption rate and EEOI calculation module.Considering the environmental factors of wind,wave and ice,the route is divided into sections,the calculation of main engine power,main engine fuel consumption and EEOI for each section is completed,and the speed design is optimized based on the simulation model for each section.Under the requirements of the voyage plan,the optimization results show that the energy efficiency operation index of the whole route is reduced by 3.114%and the fuel consumption is reduced by 9.17 t.展开更多
From the perspective of facilitating the design of fluidized hydrogen reduction reactors for iron ore powder and maintaining stable operation,the operational conditions and bubble behavior in stable state fluidization...From the perspective of facilitating the design of fluidized hydrogen reduction reactors for iron ore powder and maintaining stable operation,the operational conditions and bubble behavior in stable state fluidization of multi-particle size systems were investigated through cold-state experiments.To facilitate the identification of bubble behavior,a two-dimensional bubbling bed cold-state experiment was carried out using iron ore powder with a narrow particle size distribution and glass beads.Initially,the multi-stage fluidization characteristics of iron ore powder were examined.Then,using Geldart B-type glass beads to simulate a multi-particle size composition system,the particle size range and superficial gas velocity range for stable operation of the multi-particle composition system were explored.When the mass percentage of 150-μm glass beads was 15%,the stable fluidization operational gas velocity range was found to be(1.05-1.21)umf,where umf is the minimum fluidization velocity;when the content was 20%,the stable fluidized superficial gas velocity range was(1.09-1.26)umf.Under stable fluidization operating conditions,the dynamic behavior of bubbles(average equivalent diameter,rising velocity,and lateral migration velocity)was studied,and the quantitative relationship between the average equivalent diameter of bubbles and bed height in multi-particle size systems under stable fluidization conditions was also corrected.Additionally,the correlation between bubble rising velocity and bubble average equivalent diameter was established.展开更多
Objective The lack of clarity regarding the application performance of a hybrid operating room(HOR)and the uncertainty of surgical scheduling often lead to its inefficient application.This study aimed to review the cl...Objective The lack of clarity regarding the application performance of a hybrid operating room(HOR)and the uncertainty of surgical scheduling often lead to its inefficient application.This study aimed to review the clinical application of our neurosurgical HOR and propose a scale to score cases clearly.Methods We reviewed the operating procedures and duration of stay in 1865 HOR cases.The actual procedures of each case were summarized into 5 application types,and numerical assignment was used to distinguish the dependence of each type on our HOR:surgical procedures combined with interventional procedures(4 points,the highest dependence),surgical procedures combined with imaging procedures(3 points),interventional procedures(2 points),imaging procedures(1 point),and surgical procedures(0 points,the lowest dependence).Results A novel scale that could score 1865 cases into those 5 grades was developed.The percentages by grade were as follows:4 points,4.24%;3 points,4.88%;2 points,20.75%;1 point,69.38%;and 0 points,0.75%.The cumulative usage time was 4241.9 h,the duration of which was as follows:4 points,16.17%;3 points,15.50%;2 points,31.32%;1 point,35.62%;and 0 points,1.39%.Conclusions The HOR serves as a multifunctional room to treat neurosurgical diseases.The scale helps to quickly prioritize cases that rely more on HOR,providing guidelines for surgical scheduling.Although our HOR is unsuitable for emergency cases,it clearly shows the application performance of our HOR to provide a reference for promoting its efficient application.展开更多
The Stirling engine,as a closed-cycle power machine,exhibits excellent emission characteristics and broad energy adaptability.Second-order analysis methods are extensively used during the foundational design and therm...The Stirling engine,as a closed-cycle power machine,exhibits excellent emission characteristics and broad energy adaptability.Second-order analysis methods are extensively used during the foundational design and thermodynamic examination of Stirling engines,owing to their commendable model precision and remarkable efficiency.To scrutinize the effect of Stirling engine design parameters on the cyclical work output and efficiency,this study formulates a series of differential equations for the Stirling cycle by employing second-order analysis methods,subsequently augmenting the predictive accuracy by integrating considerations of loss mechanisms.In addition,an iterative method for the convergence of the average pressure was introduced.The predictive capability of the established model was validated using GPU-3 and RE-1000 experimental data.According to the model,parameters such as the operational fluid,porosity of the regenerator,and diameter of the wire mesh and their influence on the resulting work output and cyclic efficiency of the Stirling engine were analyzed,thereby facilitating a broader understanding of the engine's functional characteristics.These findings suggest that hydrogen,owing to its lower dynamic viscosity coefficient,can provide superior output power.The loss due to flow resistance tends to increase with the rotational speed.Additionally,under conditions of elevated rotational speed,the loss from flow resistance declines in cases of increased porosity,and the enhancement of the porosity to diminish flow resistance losses can boost both the output work and the cyclic efficiency of the engine.As the porosity increased further,the hydraulic diameter and dead volume in the regenerator continued to expand,causing the pressure drop within the engine to become the dominant factor in the gradual reduction of output power.Furthermore,extending the length of the regenerator results in a decrease in the output work,although the thermal cycle efficiency initially increases before eventually decreasing.Based on these insights,this study pursues the optimal designs for Stirling engines.展开更多
Effective fault identification is crucial for bearings, which are critical components of mechanical systems and play a pivotal role in ensuring overall safety and operational efficiency. Bearings operate under variabl...Effective fault identification is crucial for bearings, which are critical components of mechanical systems and play a pivotal role in ensuring overall safety and operational efficiency. Bearings operate under variable service conditions, and their diagnostic environments are complex and dynamic. In the process of bearing diagnosis, fault datasets are relatively scarce compared with datasets representing normal operating conditions. These challenges frequently cause the practicality of fault detection to decline, the extraction of fault features to be incomplete, and the diagnostic accuracy of many existing models to decrease. In this work, a transfer-learning framework, designated DSCNN-HA-TL, is introduced to address the enduring challenge of cross-condition diagnosis in rolling-bearing fault detection. The framework integrates a window global mixed attention mechanism with a deep separable convolutional network, thereby enabling adaptation to fault detection tasks under diverse operating conditions. First, a Convolutional Neural Network (CNN) is employed as the foundational architecture, where the original convolutional layers are enhanced through the incorporation of depthwise separable convolutions, resulting in a Depthwise Separable Convolutional Neural Network (DSCNN) architecture. Subsequently, the extraction of fault characteristics is further refined through a dual-branch network that integrates hybrid attention mechanisms, specifically windowed and global attention mechanisms. This approach enables the acquisition of multi-level feature fusion information, thereby enhancing the accuracy of fault classification. The integration of these features not only optimizes the characteristic extraction process but also yields improvements in accuracy, representational capacity, and robustness in fault feature recognition. In conclusion, the proposed method achieved average precisions of 99.93% and 99.55% in transfer learning tasks, as demonstrated by the experimental results obtained from the CWRU public dataset and the bearing fault detection platform dataset. The experimental findings further provided a detailed comparison between the diagnostic models before and after the enhancement, thereby substantiating the pronounced advantages of the DSCNN-HA-TL approach in accurately identifying faults in critical mechanical components under diverse operating conditions.展开更多
Objective:To explore the application effect of the path for improving humanistic literacy of operating room nursing students based on the ORTCC model,in order to make up for the deficiency of systematic humanistic edu...Objective:To explore the application effect of the path for improving humanistic literacy of operating room nursing students based on the ORTCC model,in order to make up for the deficiency of systematic humanistic education in the traditional teaching model.Methods:120 nursing students who practiced in the operating room from June 2023 to June 2024 were randomly divided into the experimental group and the control group,with 60 students in each group.The control group received routine teaching,while the experimental group applied the ORTCC model on the basis of routine and intervened through setting humanistic literacy goals,formulating behavioral norms,conducting diversified training,implementing two-way assessment,and creating departmental culture.The effect of the intervention was evaluated using the Nurse Humanistic Quality Scale,the Clinical Communication Ability Assessment Scale for Operating Room Nursing Students,and a self-made nursing satisfaction questionnaire.Results:After the intervention,the total score of humanistic literacy in the experimental group(4 weeks of intervention:161.43±10.06 points,12 weeks of intervention:165.71±9.45 points)was significantly higher than that in the control group(139.38±10.95 points,143.31±10.52 points)(all p<0.001);The total score of clinical communication ability in the experimental group(109.69±8.05 points for 4 weeks of intervention,116.90±7.21 points for 12 weeks of intervention)was also significantly better than that in the control group(99.14±9.23 points,103.03±8.78 points)(all p<0.001);The total score of patient care satisfaction in the experimental group(94.2±4.3)was significantly higher than that in the control group(82.6±5.7)(p<0.001).Conclusion:The ORTCC model can systematically enhance the humanistic literacy,clinical communication skills and patient satisfaction of operating room nursing students,providing an effective approach for optimizing clinical teaching in the operating room.展开更多
To enhance energy interaction among low-voltage stations(LVSs)and reduce the line loss of the distribution network,a novel operation mode of the micro-pumped storage system(mPSS)has been proposed based on the common r...To enhance energy interaction among low-voltage stations(LVSs)and reduce the line loss of the distribution network,a novel operation mode of the micro-pumped storage system(mPSS)has been proposed based on the common reservoir.First,some operation modes of mPSS are analyzed,which include the separated reservoir mode(SRM)and common reservoir mode(CRM).Then,based on the SRM,and CRM,an energy mutual assistance control model between LVSs has been built to optimize energy loss.Finally,in the simulation,compared to the model without pumped storage in the LVS,the SRMand CLRMcan decrease the total energy loss by 294.377 and 432.578 kWh,respectively.The configuration of mPSS can improve the utilization rate of the new energy source generation system,and relieve the pressure of transformer capacity in the LVS.Compared with the SRM,the proposed CRM has reduced the total energy loss by 138.201 kWh,increased the new energy consumption by 161.642 kWh,and decreased the line loss by 7.271 kWh.With the efficiency of the mPSS improving,the total energy loss reduction of CRM will be 3.5 times that of SRM.Further,the CRMcan significantly reduce the reservoir capacity construction of mPSS and ismore suitable for scenarios where the capacity configuration of mPSS is limited.展开更多
This paper focuses on the key role and practical paths of operating room nurses in infection control,and studies the difficult problems in the prevention and control of surgical site infections.Analyze the infection r...This paper focuses on the key role and practical paths of operating room nurses in infection control,and studies the difficult problems in the prevention and control of surgical site infections.Analyze the infection risk links in the operating room and the core responsibilities of nurses,reveal the multiple role mechanisms of nurses in infection control,design practical strategies from dimensions such as process optimization,skill improvement,and monitoring feedback,and construct an infection control system involving all staff.Research shows that operating room nurses can effectively reduce the risk of infection,improve medical quality,provide core guarantees for patient safety,and promote the transformation of operating room infection control towards refined management through practical actions such as standardized operation execution,real-time risk monitoring,and team collaboration supervision.展开更多
This study explores the aerodynamic performance and flow field characteristics of supercritical carbon dioxide(sCO_(2))centrifugal compressors under varying operating conditions.In particular,the Sandia main compresso...This study explores the aerodynamic performance and flow field characteristics of supercritical carbon dioxide(sCO_(2))centrifugal compressors under varying operating conditions.In particular,the Sandia main compressor impeller model is used as a reference system.Through three-dimensional numerical simulations,we examine the Mach number distribution,temperature field,blade pressure pulsation spectra,and velocity field evolution,and identify accordingly the operating boundaries ensuring stability and the mechanisms responsible for performance degradation.Findings indicate a stable operating range for mass flow rate between 0.74 and 3.74 kg/s.At the lower limit(0.74 kg/s),the maximum Mach number within the compressor decreases by 28%,while the temperature gradient sharpens,entropy rises notably,and fluid density varies significantly.The maximum pressure near the blades increases by 6%,yet flow velocity near the blades and outlet declines,with a 19%reduction in peak speed.Consequently,isentropic efficiency falls by 13%.Conversely,at 3.74 kg/s,the maximum Mach number increases by 23.7%,with diminished temperature gradients and minor fluid density variations.However,insufficient enthalpy gain and intensified pressure pulsations near the blades result in a 12%pressure drop.Peak velocity within the impeller channel surges by 23%,amplifying velocity gradients,inducing flow separation,and ultimately reducing the pressure ratio from 1.47 to 1.34.展开更多
Spurred by the global climate crisis,nations worldwide are accelerating energy-structure adjustments and promoting the low-carbon transformation of the transport sector through policy incentives.Concurrently,the deep ...Spurred by the global climate crisis,nations worldwide are accelerating energy-structure adjustments and promoting the low-carbon transformation of the transport sector through policy incentives.Concurrently,the deep integration of digital technologies and artificial intelligence is reshaping the automotive landscape,driving the joint evolution of electric powertrains and intelligent-driving capabilities and laying the technological foundation for smart mobility solutions.Amid this shift,an emerging cohort of next-generation automakers has entered the market.This study focuses on NIO Inc.as a representative firm within the global new-energy-vehicle(NEV)segment.Based on the operational capacity theory,study selects three key operational ratios:accounts receivable turnover,inventory turnover,and total asset turnover.Its primary objectives are to evaluate NIO’s operational efficiency against industry benchmarks by checking NIO’s annual financial report data from 2019 to 2023,and to propose actionable recommendations for the operational challenges identified.The study found that the accounts receivable turnover and inventory turnover of NIO fluctuated significantly,while the total asset turnover was relatively low.To address that,three improvement suggestions were proposed:refining credit management,optimizing inventory management,and enhancing asset utilization.It is hoped that these suggestions would provide a reference for other NEV enterprises and contribute to better promoting development of the industry.展开更多
Rare earths,as a strategic mineral resource,play a vital role in high-tech industries such as aerospace,national defense and military,electronic information,and new energy.With the accelerated evolution of the new rou...Rare earths,as a strategic mineral resource,play a vital role in high-tech industries such as aerospace,national defense and military,electronic information,and new energy.With the accelerated evolution of the new round of technological revolution and industrial transformation,global supply chain security risks have become more prominent.The focus of major countries'resource security assurance has also shifted from bulk minerals to critical minerals.展开更多
Objective:To explore the application of moderate and hypothermia control in patients undergoing cerebral hemangioma surgery.By adjusting the precise body temperature of the patients and controlling the changes,the int...Objective:To explore the application of moderate and hypothermia control in patients undergoing cerebral hemangioma surgery.By adjusting the precise body temperature of the patients and controlling the changes,the intraoperative and postoperative risks can be reduced,thereby better promoting postoperative recovery.Methods:Thirty patients undergoing cerebral hemangioma surgery were randomly selected as the subjects.All the patients were inpatients in the neurology department between May 2023 and May 2024.The control group received traditional routine nursing management.For the patients in the experimental group,in addition to traditional nursing management,there was also moderate and hypothermia intervention.The body temperature was monitored at three points:the tympanic membrane,esophagus,and rectum.The body temperature was effectively monitored to make it fluctuate within a relatively ideal range.The postoperative recovery was paid attention to and monitored.Key monitoring will be conducted on the intraoperative body temperature changes,hemodynamic indicators of the patients,as well as the postoperative awakening time and neurological function recovery indicators of the patients.Results:Compared with the control group,the patients in the experimental group with moderate to low body temperature had relatively gentle body temperature curves and little fluctuation in body temperature.In terms of hemodynamics,patients in the experimental group were more stable than those in the control group.Meanwhile,they recovered faster after the operation,the time required for patients to regain consciousness was shortened,and the incidence of postoperative complications was lower,especially infection,cerebral edema,and electrolyte abnormalities were more prominent.The comfort level and satisfaction of patients were relatively higher compared with those in the control group.Therefore,it can play a very good promoting role for the patient in the postoperative recovery.Conclusion:The application of moderate and low body temperature in cerebral hemangioma surgery can better stabilize the patient’s condition,reduce the occurrence of complications,and is conducive to the recovery of the patient’s neurological function.This method has changed the deficiency of body temperature management in traditional nursing and created a more ideal surgical environment for patients.展开更多
基金The Key R&D Project of Jilin Province,Grant/Award Number:20230201067GX。
文摘Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational scenarios,considering the large amount of historical operational snapshot data.Specifically,DTSAs analyse the intrinsic mechanisms of different scheduling operational scenario switching to mathematically represent typical operational scenarios.A Gramian angular summation field-based operational scenario image encoder was designed to convert operational scenario sequences into highdimensional spaces.This enables DTSAs to fully capture the spatiotemporal characteristics of new power systems using deep feature iterative aggregation models.The encoder also facilitates the generation of typical operational scenarios that conform to historical data distributions while ensuring the integrity of grid operational snapshots.Case studies demonstrate that the proposed method extracted new fine-grained power system dispatch schemes and outperformed the latest high-dimensional feature-screening methods.In addition,experiments with different new energy access ratios were conducted to verify the robustness of the proposed method.DTSAs enable dispatchers to master the operation experience of the power system in advance,and actively respond to the dynamic changes of the operation scenarios under the high access rate of new energy.
基金supported by a Horizontal Project on the Development of a Hybrid Energy Storage Simulation Model for Wind Power Based on an RT-LAB Simulation System(PH2023000190)the Inner Mongolia Natural Science Foundation Project and the Optimization of Exergy Efficiency of a Hybrid Energy Storage System with Crossover Control for Wind Power(2023JQ04).
文摘Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources.This paper proposes a wind-solar hybrid energy storage system(HESS)to ensure a stable supply grid for a longer period.A multi-objective genetic algorithm(MOGA)and state of charge(SOC)region division for the batteries are introduced to solve the objective function and configuration of the system capacity,respectively.MATLAB/Simulink was used for simulation test.The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system,with a combination of a 300 Ah lithium battery,a 200 Ah lead-acid battery,and a water storage tank,the proposed strategy reduces the system construction cost by approximately 18,000 yuan.Additionally,the cycle count of the electrochemical energy storage systemincreases from4515 to 4660,while the depth of discharge decreases from 55.37%to 53.65%,achieving shallow charging and discharging,thereby extending battery life and reducing grid voltage fluctuations significantly.The proposed strategy is a guide for stabilizing the grid connection of wind and solar power generation,capability allocation,and energy management of energy conservation systems.
基金supported by the National Key Research and Development Program of China(Program Number 2021YFB4000100)the Beijing Postdoctoral Research Foundation(Grant Number 2023-ZZ-63).
文摘Hydrogen energy,with its abundant reserves,green and low-carbon characteristic,high energy density,diverse sources,and wide applications,is gradually becoming an important carrier in the global energy transformation and development.In this paper,the off-grid wind power hydrogen production system is considered as the research object,and the operating characteristics of a proton exchange membrane(PEM)electrolysis cell,including underload,overload,variable load,and start-stop are analyzed.On this basis,the characteristic extraction of wind power output data after noise reduction is carried out,and then the self-organizing mapping neural network algorithm is used for clustering to extract typical wind power output scenarios and perform weight distribution based on the statistical probability.The trend and fluctuation components are superimposed to generate the typical operating conditions of an off-grid PEM electrolytic hydrogen production system.The historical output data of an actual wind farm are used for the case study,and the results confirm the feasibility of the method proposed in this study for obtaining the typical conditions of off-grid wind power hydrogen production.The results provide a basis for studying the dynamic operation characteristics of PEM electrolytic hydrogen production systems,and the performance degradation mechanism of PEM electrolysis cells under fluctuating inputs.
文摘Operating System(OS)is a critical piece of software that manages a computer’s hardware and resources,acting as the intermediary between the computer and the user.The existing OS is not designed for Big Data and Cloud Computing,resulting in data processing and management inefficiency.This paper proposes a simplified and improved kernel on an x86 system designed for Big Data and Cloud Computing purposes.The proposed algorithm utilizes the performance benefits from the improved Input/Output(I/O)performance.The performance engineering runs the data-oriented design on traditional data management to improve data processing speed by reducing memory access overheads in conventional data management.The OS incorporates a data-oriented design to“modernize”various Data Science and management aspects.The resulting OS contains a basic input/output system(BIOS)bootloader that boots into Intel 32-bit protected mode,a text display terminal,4 GB paging memory,4096 heap block size,a Hard Disk Drive(HDD)I/O Advanced Technology Attachment(ATA)driver and more.There are also I/O scheduling algorithm prototypes that demonstrate how a simple Sweeping algorithm is superior to more conventionally known I/O scheduling algorithms.A MapReduce prototype is implemented using Message Passing Interface(MPI)for big data purposes.An attempt was made to optimize binary search using modern performance engineering and data-oriented design.
文摘Background: Technical skills play an integral part in perioperative nurse work in preventing adverse outcome in operating rooms (OR). Pervasive critical shortage of skills and evolution of technologies has pushed for integration of different approaches to training to address the deficit in technical skills. Objective: The aim is to investigate the impact of training in technical skills on operating theatre nurses’ clinical competence and describe important factors of clinical competence for operating theatre nurses (OTNs). Method: We used systematic review of the evidences on the best practice in design and delivery of training for operating theatre nurses. The review systematically searched for six relevant articles in PubMed, CINAHL and Embase using keywords and mesh terms for studies on training of perioperative nurses in December 2024. We extracted information on training and the impact of training on participant’s technical skills. Results: The systematic review screened 518 sources from the three identified databases where six peer-reviewed sources met the inclusion criteria developed by the authors and were included for analysis. The authors used the Cochrane Risk of Bias tool to assess the level of empirical evidence based on five domains of bias. Finding: Our findings demonstrate that simulation and technology-based approaches significantly improve nurses’ technical skills and confidence. Conclusion: The review underscores the importance of structured and technology-driven training programs in enhancing operating room (OR) nurses’ technical skills. The lack of standardized training approaches and limited research on long-term outcome indicates a need for further studies to optimize training designs and delivery methods for operating room nurses.
基金supported by 2024 Central Guidance Local Science and Technology Development Fund Project"Study on the mechanism and evaluation method of thermal pollution in water bodies,as well as research on thermal carrying capacity".(Grant 246Z4506G)Key Research and Development Project in Hebei Province:"Key Technologies and Equipment Research and Demonstration of Multiple Energy Complementary(Electricity,Heat,Cold System)for Solar Energy,Geothermal Energy,Phase Change Energy"(Grant 236Z4310G)the Hebei Academy of Sciences Key Research and Development Program"Research on Heat Transfer Mechanisms and Efficient Applications of Intermediate and Deep Geothermal Energy"(22702)。
文摘Ground source heat pump systems demonstrate significant potential for northern rural heating applications;however,the effectiveness of these systems is often limited by challenging geological conditions.For instance,in certain regions,the installation of buried pipes for heat exchangers may be complicated,and these pipes may not always serve as efficient low-temperature heat sources for the heat pumps of the system.To address this issue,the current study explored the use of solar-energy-collecting equipment to supplement buried pipes.In this design,both solar energy and geothermal energy provide low-temperature heat to the heat pump.First,a simulation model of a solar‒ground source heat pump coupling system was established using TRNSYS.The accuracy of this model was validated through experiments and simulations on various system configurations,including varying numbers of buried pipes,different areas of solar collectors,and varying volumes of water tanks.The simulations examined the coupling characteristics of these components and their influence on system performance.The results revealed that the operating parameters of the system remained consistent across the following configurations:three buried pipes,burial depth of 20 m,collector area of 6 m^(2),and water tank volume of 0.5 m^(3);four buried pipes,burial depth of 20 m,collector area of 3 m^(2),and water tank volume of 0.5 m^(3);and five buried pipes with a burial depth of 20 m.Furthermore,the heat collection capacity of the solar collectors spanning an area of 3 m^(2)was found to be equivalent to that of one buried pipe.Moreover,the findings revealed that the solar‒ground source heat pump coupling system demonstrated a lower annual cumulative energy consumption compared to the ground source heat pump system,presenting a reduction of 5.31%compared to the energy consumption of the latter.
基金supported by the Central Government Guides Local Science and Technology Development Fund Project(2023ZY0020)Key R&D and Achievement Transformation Project in InnerMongolia Autonomous Region(2022YFHH0019)+3 种基金the Fundamental Research Funds for Inner Mongolia University of Science&Technology(2022053)Natural Science Foundation of Inner Mongolia(2022LHQN05002)National Natural Science Foundation of China(52067018)Metallurgical Engineering First-Class Discipline Construction Project in Inner Mongolia University of Science and Technology,Control Science and Engineering Quality Improvement and Cultivation Discipline Project in Inner Mongolia University of Science and Technology。
文摘In this paper,a bilevel optimization model of an integrated energy operator(IEO)–load aggregator(LA)is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy system(IIES).The upper level represents the integrated energy operator,and the lower level is the electricity-heatgas load aggregator.Owing to the benefit conflict between the upper and lower levels of the IIES,a dynamic pricing mechanism for coordinating the interests of the upper and lower levels is proposed,combined with factors such as the carbon emissions of the IIES,as well as the lower load interruption power.The price of selling energy can be dynamically adjusted to the lower LA in the mechanism,according to the information on carbon emissions and load interruption power.Mutual benefits and win-win situations are achieved between the upper and lower multistakeholders.Finally,CPLEX is used to iteratively solve the bilevel optimization model.The optimal solution is selected according to the joint optimal discrimination mechanism.Thesimulation results indicate that the sourceload coordinate operation can reduce the upper and lower operation costs.Using the proposed pricingmechanism,the carbon emissions and load interruption power of IEO-LA are reduced by 9.78%and 70.19%,respectively,and the capture power of the carbon capture equipment is improved by 36.24%.The validity of the proposed model and method is verified.
基金supported by the National Social Science Fund of China(Grand No.21XTJ001).
文摘A Receiver Operating Characteristic(ROC)analysis of a power is important and useful in clinical trials.A Classical Conditional Power(CCP)is a probability of a classical rejection region given values of true treatment effect and interim result.For hypotheses and reversed hypotheses under normal models,we obtain analytical expressions of the ROC curves of the CCP,find optimal ROC curves of the CCP,investigate the superiority of the ROC curves of the CCP,calculate critical values of the False Positive Rate(FPR),True Positive Rate(TPR),and cutoff of the optimal CCP,and give go/no go decisions at the interim of the optimal CCP.In addition,extensive numerical experiments are carried out to exemplify our theoretical results.Finally,a real data example is performed to illustrate the go/no go decisions of the optimal CCP.
文摘In order to accurately forecast the main engine fuel consumption and reduce the Energy Efficiency Operational Indicator(EEOI)of merchant ships in polar ice areas,the energy transfer relationship between ship-machine-propeller is studied by analyzing the complex force situation during ship navigation and building a MATLAB/Simulink simulation platform based on multi-environmental resistance,propeller efficiency,main engine power,fuel consumption,fuel consumption rate and EEOI calculation module.Considering the environmental factors of wind,wave and ice,the route is divided into sections,the calculation of main engine power,main engine fuel consumption and EEOI for each section is completed,and the speed design is optimized based on the simulation model for each section.Under the requirements of the voyage plan,the optimization results show that the energy efficiency operation index of the whole route is reduced by 3.114%and the fuel consumption is reduced by 9.17 t.
基金supported by the China Baowu Low Carbon Metallurgy Innovation Foundation(No.202114)National Natural Science Foundation of China(No.51874056)Sichuan Science and Technology Program(2025ZNSFSC0378).
文摘From the perspective of facilitating the design of fluidized hydrogen reduction reactors for iron ore powder and maintaining stable operation,the operational conditions and bubble behavior in stable state fluidization of multi-particle size systems were investigated through cold-state experiments.To facilitate the identification of bubble behavior,a two-dimensional bubbling bed cold-state experiment was carried out using iron ore powder with a narrow particle size distribution and glass beads.Initially,the multi-stage fluidization characteristics of iron ore powder were examined.Then,using Geldart B-type glass beads to simulate a multi-particle size composition system,the particle size range and superficial gas velocity range for stable operation of the multi-particle composition system were explored.When the mass percentage of 150-μm glass beads was 15%,the stable fluidization operational gas velocity range was found to be(1.05-1.21)umf,where umf is the minimum fluidization velocity;when the content was 20%,the stable fluidized superficial gas velocity range was(1.09-1.26)umf.Under stable fluidization operating conditions,the dynamic behavior of bubbles(average equivalent diameter,rising velocity,and lateral migration velocity)was studied,and the quantitative relationship between the average equivalent diameter of bubbles and bed height in multi-particle size systems under stable fluidization conditions was also corrected.Additionally,the correlation between bubble rising velocity and bubble average equivalent diameter was established.
基金supported by the Technology Innovation Special Major Project of Hubei Province(grant number 2022BCA003).
文摘Objective The lack of clarity regarding the application performance of a hybrid operating room(HOR)and the uncertainty of surgical scheduling often lead to its inefficient application.This study aimed to review the clinical application of our neurosurgical HOR and propose a scale to score cases clearly.Methods We reviewed the operating procedures and duration of stay in 1865 HOR cases.The actual procedures of each case were summarized into 5 application types,and numerical assignment was used to distinguish the dependence of each type on our HOR:surgical procedures combined with interventional procedures(4 points,the highest dependence),surgical procedures combined with imaging procedures(3 points),interventional procedures(2 points),imaging procedures(1 point),and surgical procedures(0 points,the lowest dependence).Results A novel scale that could score 1865 cases into those 5 grades was developed.The percentages by grade were as follows:4 points,4.24%;3 points,4.88%;2 points,20.75%;1 point,69.38%;and 0 points,0.75%.The cumulative usage time was 4241.9 h,the duration of which was as follows:4 points,16.17%;3 points,15.50%;2 points,31.32%;1 point,35.62%;and 0 points,1.39%.Conclusions The HOR serves as a multifunctional room to treat neurosurgical diseases.The scale helps to quickly prioritize cases that rely more on HOR,providing guidelines for surgical scheduling.Although our HOR is unsuitable for emergency cases,it clearly shows the application performance of our HOR to provide a reference for promoting its efficient application.
基金supported by Sichuan Science and Technology Program(No.24NSFSC4579)National Natural Science Foundation of China(No.12305193)+2 种基金Sichuan Science and Technology Program(No.23NSFSC6149)National Natural Science Foundation of China(No.12305194)Technology on Reactor System Design Technology Laboratory Stable support Funding(No.2023_JCJQ_LB_003).
文摘The Stirling engine,as a closed-cycle power machine,exhibits excellent emission characteristics and broad energy adaptability.Second-order analysis methods are extensively used during the foundational design and thermodynamic examination of Stirling engines,owing to their commendable model precision and remarkable efficiency.To scrutinize the effect of Stirling engine design parameters on the cyclical work output and efficiency,this study formulates a series of differential equations for the Stirling cycle by employing second-order analysis methods,subsequently augmenting the predictive accuracy by integrating considerations of loss mechanisms.In addition,an iterative method for the convergence of the average pressure was introduced.The predictive capability of the established model was validated using GPU-3 and RE-1000 experimental data.According to the model,parameters such as the operational fluid,porosity of the regenerator,and diameter of the wire mesh and their influence on the resulting work output and cyclic efficiency of the Stirling engine were analyzed,thereby facilitating a broader understanding of the engine's functional characteristics.These findings suggest that hydrogen,owing to its lower dynamic viscosity coefficient,can provide superior output power.The loss due to flow resistance tends to increase with the rotational speed.Additionally,under conditions of elevated rotational speed,the loss from flow resistance declines in cases of increased porosity,and the enhancement of the porosity to diminish flow resistance losses can boost both the output work and the cyclic efficiency of the engine.As the porosity increased further,the hydraulic diameter and dead volume in the regenerator continued to expand,causing the pressure drop within the engine to become the dominant factor in the gradual reduction of output power.Furthermore,extending the length of the regenerator results in a decrease in the output work,although the thermal cycle efficiency initially increases before eventually decreasing.Based on these insights,this study pursues the optimal designs for Stirling engines.
基金supported by the National Natural Science Foundation of China(12272259)the Key Research and Development Fund of Universities in Hebei Province(2510800601A).
文摘Effective fault identification is crucial for bearings, which are critical components of mechanical systems and play a pivotal role in ensuring overall safety and operational efficiency. Bearings operate under variable service conditions, and their diagnostic environments are complex and dynamic. In the process of bearing diagnosis, fault datasets are relatively scarce compared with datasets representing normal operating conditions. These challenges frequently cause the practicality of fault detection to decline, the extraction of fault features to be incomplete, and the diagnostic accuracy of many existing models to decrease. In this work, a transfer-learning framework, designated DSCNN-HA-TL, is introduced to address the enduring challenge of cross-condition diagnosis in rolling-bearing fault detection. The framework integrates a window global mixed attention mechanism with a deep separable convolutional network, thereby enabling adaptation to fault detection tasks under diverse operating conditions. First, a Convolutional Neural Network (CNN) is employed as the foundational architecture, where the original convolutional layers are enhanced through the incorporation of depthwise separable convolutions, resulting in a Depthwise Separable Convolutional Neural Network (DSCNN) architecture. Subsequently, the extraction of fault characteristics is further refined through a dual-branch network that integrates hybrid attention mechanisms, specifically windowed and global attention mechanisms. This approach enables the acquisition of multi-level feature fusion information, thereby enhancing the accuracy of fault classification. The integration of these features not only optimizes the characteristic extraction process but also yields improvements in accuracy, representational capacity, and robustness in fault feature recognition. In conclusion, the proposed method achieved average precisions of 99.93% and 99.55% in transfer learning tasks, as demonstrated by the experimental results obtained from the CWRU public dataset and the bearing fault detection platform dataset. The experimental findings further provided a detailed comparison between the diagnostic models before and after the enhancement, thereby substantiating the pronounced advantages of the DSCNN-HA-TL approach in accurately identifying faults in critical mechanical components under diverse operating conditions.
文摘Objective:To explore the application effect of the path for improving humanistic literacy of operating room nursing students based on the ORTCC model,in order to make up for the deficiency of systematic humanistic education in the traditional teaching model.Methods:120 nursing students who practiced in the operating room from June 2023 to June 2024 were randomly divided into the experimental group and the control group,with 60 students in each group.The control group received routine teaching,while the experimental group applied the ORTCC model on the basis of routine and intervened through setting humanistic literacy goals,formulating behavioral norms,conducting diversified training,implementing two-way assessment,and creating departmental culture.The effect of the intervention was evaluated using the Nurse Humanistic Quality Scale,the Clinical Communication Ability Assessment Scale for Operating Room Nursing Students,and a self-made nursing satisfaction questionnaire.Results:After the intervention,the total score of humanistic literacy in the experimental group(4 weeks of intervention:161.43±10.06 points,12 weeks of intervention:165.71±9.45 points)was significantly higher than that in the control group(139.38±10.95 points,143.31±10.52 points)(all p<0.001);The total score of clinical communication ability in the experimental group(109.69±8.05 points for 4 weeks of intervention,116.90±7.21 points for 12 weeks of intervention)was also significantly better than that in the control group(99.14±9.23 points,103.03±8.78 points)(all p<0.001);The total score of patient care satisfaction in the experimental group(94.2±4.3)was significantly higher than that in the control group(82.6±5.7)(p<0.001).Conclusion:The ORTCC model can systematically enhance the humanistic literacy,clinical communication skills and patient satisfaction of operating room nursing students,providing an effective approach for optimizing clinical teaching in the operating room.
基金sponsored by the State Grid Corporation of China Technology Project(Research on Key Technologies and Equipment Development of Micro Pumped Storage for Distributed New Energy Consumption in Distribution Networks,5400-202324196A-1-1-ZN).
文摘To enhance energy interaction among low-voltage stations(LVSs)and reduce the line loss of the distribution network,a novel operation mode of the micro-pumped storage system(mPSS)has been proposed based on the common reservoir.First,some operation modes of mPSS are analyzed,which include the separated reservoir mode(SRM)and common reservoir mode(CRM).Then,based on the SRM,and CRM,an energy mutual assistance control model between LVSs has been built to optimize energy loss.Finally,in the simulation,compared to the model without pumped storage in the LVS,the SRMand CLRMcan decrease the total energy loss by 294.377 and 432.578 kWh,respectively.The configuration of mPSS can improve the utilization rate of the new energy source generation system,and relieve the pressure of transformer capacity in the LVS.Compared with the SRM,the proposed CRM has reduced the total energy loss by 138.201 kWh,increased the new energy consumption by 161.642 kWh,and decreased the line loss by 7.271 kWh.With the efficiency of the mPSS improving,the total energy loss reduction of CRM will be 3.5 times that of SRM.Further,the CRMcan significantly reduce the reservoir capacity construction of mPSS and ismore suitable for scenarios where the capacity configuration of mPSS is limited.
文摘This paper focuses on the key role and practical paths of operating room nurses in infection control,and studies the difficult problems in the prevention and control of surgical site infections.Analyze the infection risk links in the operating room and the core responsibilities of nurses,reveal the multiple role mechanisms of nurses in infection control,design practical strategies from dimensions such as process optimization,skill improvement,and monitoring feedback,and construct an infection control system involving all staff.Research shows that operating room nurses can effectively reduce the risk of infection,improve medical quality,provide core guarantees for patient safety,and promote the transformation of operating room infection control towards refined management through practical actions such as standardized operation execution,real-time risk monitoring,and team collaboration supervision.
基金National Science Foundation of China(grant numbers 52366009 and 52130607)Doble First-Class Key Programof Gansu Provincial Department of Education(grant number GCJ2022-38)+1 种基金2022 Gansu Provincial University Industry Support Plan Project(grant number 2022CYZC-21)KeyR&DProgramofGansu Province of China(grant number 22YF7GA163).
文摘This study explores the aerodynamic performance and flow field characteristics of supercritical carbon dioxide(sCO_(2))centrifugal compressors under varying operating conditions.In particular,the Sandia main compressor impeller model is used as a reference system.Through three-dimensional numerical simulations,we examine the Mach number distribution,temperature field,blade pressure pulsation spectra,and velocity field evolution,and identify accordingly the operating boundaries ensuring stability and the mechanisms responsible for performance degradation.Findings indicate a stable operating range for mass flow rate between 0.74 and 3.74 kg/s.At the lower limit(0.74 kg/s),the maximum Mach number within the compressor decreases by 28%,while the temperature gradient sharpens,entropy rises notably,and fluid density varies significantly.The maximum pressure near the blades increases by 6%,yet flow velocity near the blades and outlet declines,with a 19%reduction in peak speed.Consequently,isentropic efficiency falls by 13%.Conversely,at 3.74 kg/s,the maximum Mach number increases by 23.7%,with diminished temperature gradients and minor fluid density variations.However,insufficient enthalpy gain and intensified pressure pulsations near the blades result in a 12%pressure drop.Peak velocity within the impeller channel surges by 23%,amplifying velocity gradients,inducing flow separation,and ultimately reducing the pressure ratio from 1.47 to 1.34.
文摘Spurred by the global climate crisis,nations worldwide are accelerating energy-structure adjustments and promoting the low-carbon transformation of the transport sector through policy incentives.Concurrently,the deep integration of digital technologies and artificial intelligence is reshaping the automotive landscape,driving the joint evolution of electric powertrains and intelligent-driving capabilities and laying the technological foundation for smart mobility solutions.Amid this shift,an emerging cohort of next-generation automakers has entered the market.This study focuses on NIO Inc.as a representative firm within the global new-energy-vehicle(NEV)segment.Based on the operational capacity theory,study selects three key operational ratios:accounts receivable turnover,inventory turnover,and total asset turnover.Its primary objectives are to evaluate NIO’s operational efficiency against industry benchmarks by checking NIO’s annual financial report data from 2019 to 2023,and to propose actionable recommendations for the operational challenges identified.The study found that the accounts receivable turnover and inventory turnover of NIO fluctuated significantly,while the total asset turnover was relatively low.To address that,three improvement suggestions were proposed:refining credit management,optimizing inventory management,and enhancing asset utilization.It is hoped that these suggestions would provide a reference for other NEV enterprises and contribute to better promoting development of the industry.
文摘Rare earths,as a strategic mineral resource,play a vital role in high-tech industries such as aerospace,national defense and military,electronic information,and new energy.With the accelerated evolution of the new round of technological revolution and industrial transformation,global supply chain security risks have become more prominent.The focus of major countries'resource security assurance has also shifted from bulk minerals to critical minerals.
文摘Objective:To explore the application of moderate and hypothermia control in patients undergoing cerebral hemangioma surgery.By adjusting the precise body temperature of the patients and controlling the changes,the intraoperative and postoperative risks can be reduced,thereby better promoting postoperative recovery.Methods:Thirty patients undergoing cerebral hemangioma surgery were randomly selected as the subjects.All the patients were inpatients in the neurology department between May 2023 and May 2024.The control group received traditional routine nursing management.For the patients in the experimental group,in addition to traditional nursing management,there was also moderate and hypothermia intervention.The body temperature was monitored at three points:the tympanic membrane,esophagus,and rectum.The body temperature was effectively monitored to make it fluctuate within a relatively ideal range.The postoperative recovery was paid attention to and monitored.Key monitoring will be conducted on the intraoperative body temperature changes,hemodynamic indicators of the patients,as well as the postoperative awakening time and neurological function recovery indicators of the patients.Results:Compared with the control group,the patients in the experimental group with moderate to low body temperature had relatively gentle body temperature curves and little fluctuation in body temperature.In terms of hemodynamics,patients in the experimental group were more stable than those in the control group.Meanwhile,they recovered faster after the operation,the time required for patients to regain consciousness was shortened,and the incidence of postoperative complications was lower,especially infection,cerebral edema,and electrolyte abnormalities were more prominent.The comfort level and satisfaction of patients were relatively higher compared with those in the control group.Therefore,it can play a very good promoting role for the patient in the postoperative recovery.Conclusion:The application of moderate and low body temperature in cerebral hemangioma surgery can better stabilize the patient’s condition,reduce the occurrence of complications,and is conducive to the recovery of the patient’s neurological function.This method has changed the deficiency of body temperature management in traditional nursing and created a more ideal surgical environment for patients.
