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
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
Integrated continuous stirred-tank reactors and distillation columns with recycle(CSTR-DC-recycle)are essential components in chemical processes.This paper proposes a method to establish a normal operating zone(NOZ)mo...Integrated continuous stirred-tank reactors and distillation columns with recycle(CSTR-DC-recycle)are essential components in chemical processes.This paper proposes a method to establish a normal operating zone(NOZ)model to represent allowable variations of the CSTR-DC-recycle chemical processes.The NOZ is a geometric space containing all safe operating points of the CSTR-DC-recycle chemical processes,so that it is an effective model for process monitoring.The novelty of the proposed method is to establish the NOZ model based on boundary points.The boundary points make it possible to capture the actual geometric space irrespective of the space shape.In contrast,existing methods represent the NOZ of processes by fixed mathematical models such as ellipsoidal and convex-hull models;they are not suitable for the CSTR-DC-recycle chemical processes whose NOZs cannot be exactly defined by fixed mathematical structures.Simulated case studies based on Aspen Hysys software are given to illustrate the proposed method.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
When estimating the capacity of lithium-ion batteries offline or online,it is essential to extract a health feature(HF)that can effectively characterize capacity degradation under both conventional ideal and complex d...When estimating the capacity of lithium-ion batteries offline or online,it is essential to extract a health feature(HF)that can effectively characterize capacity degradation under both conventional ideal and complex dynamic operating conditions.However,the extraction of most HFs relies on complete charge-discharge cycle data,making them less adaptable to complex dynamic operating conditions.Existing mechanism HFs,while capable of characterizing capacity degradation from a mechanism perspective,suffer from limitations such as insufficient physical model expressiveness,high dimension,and redundancy of the mechanism HF.These issues increase the complexity of subsequent modeling of the relationship between HFs and capacity,thereby restricting their promotion in engineering practice.To meet this gap,this paper proposes a novel mechanism-based HF.Firstly,a multi-physical fields coupling model is developed to describe the interactions between electrochemical,thermal,and aging behaviors of the battery.Secondly,based on the aging mechanism,the accumulated charge of lithium lost during the formation of the solid electrolyte interphase(SEI)film is extracted as HF to provide a more intuitive representation of capacity degradation.Then,to reduce estimation errors caused by considering only a single aging mechanism,multiple representative regression models are employed to establish the mapping relationship between the mechanism HF and capacity,further enhancing the accuracy of final results.Finally,the proposed method is implemented and validated using real battery data under three different types of operating conditions.Experimental results demonstrate that,compared to other commonly used HFs,the proposed HF exhibits significant competitive advantages in handling incomplete cycle data,unknown operating conditions,and capacity estimation models.The minimum estimation error under ideal conditions is 0.0074,and the minimum estimation error under complex dynamic conditions is 0.0268.展开更多
The Healthcare Failure Mode and Effect Analysis(HFMEA)model,as a proactive risk assessment tool,systematically identifies potential infection risk points during surgical procedures and evaluates the failure modes and ...The Healthcare Failure Mode and Effect Analysis(HFMEA)model,as a proactive risk assessment tool,systematically identifies potential infection risk points during surgical procedures and evaluates the failure modes and their effects that may result from these risks.Evidence-based medicine,on the other hand,emphasizes making medical decisions based on the best available evidence.Combining these two approaches can provide more scientific and effective strategies for preventing infection in operating rooms.This paper delves into the application of the HFMEA model and evidence-based medicine in the field of infection prevention in operating rooms,aiming to offer new perspectives and methods for this critical aspect of healthcare.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
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
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 effectiveness of the“Six-Step”Scenario-Based Teaching Method in operating room nursing education.Methods:Seventy nursing students undergoing clinical training in the operating ro...Objective:To explore the application effectiveness of the“Six-Step”Scenario-Based Teaching Method in operating room nursing education.Methods:Seventy nursing students undergoing clinical training in the operating room of a certain hospital from January 2024 to June 2025 were selected.They were randomly divided into an observation group(n=35)and a control group(n=35)using a random number table.The control group received traditional“mentor-apprentice”on-the-job training,while the observation group underwent the“six-step”scenario-based teaching method.The two groups were compared on final assessment scores,comprehensive competency,surgical nursing emergency response ability,and teaching satisfaction indicators.Results:The observation group achieved significantly higher final assessment scores(85.54±5.05)than the control group(78.63±4.75);After instruction,the observation group scored significantly higher than the control group in:mastery of basic duties and procedures(4.22±0.30 vs.3.98±0.30),understanding of surgical nursing essentials(4.39±0.19 vs.3.98±0.30),proficiency in surgical assistance(4.11±0.33 vs.3.98±0.30),aseptic awareness(4.32±0.24 vs.3.98±0.30),risk awareness(4.22±0.17 vs.3.98±0.30),and occupational safety awareness(4.01±0.23 vs.3.98±0.30).(4.01±0.23),which were significantly higher than the control group’s scores(3.36±0.28),(3.14±0.27),(3.29±0.24),(3.53±0.36),(3.17±0.25),and(3.51±0.18),respectively.Students in the observation group scored significantly higher than the control group in emergency hands-on skills(24.53±1.85 points),surgical coordination skills(27.65±1.87 points),emergency coordination skills(25.34±1.83 points),and patient condition observation skills(24.34±1.79 points)were significantly higher than those of the control group(20.78±1.74 points,26.31±1.95 points,22.92±1.69 points,and 21.58±1.77 points,respectively).The satisfaction rate with operating room nursing education among students in the observation group(97.00%)was significantly higher than that in the control group(77.00%).All differences were statistically significant(p<0.05).Conclusion:The“Six-Step”Scenario-Based Teaching Method effectively enhances operating room students’mastery of theoretical knowledge,practical skills,and core comprehensive abilities,while significantly improving their teaching satisfaction.It warrants promotion and application in operating room nursing education.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
In recent years,research on nursing interruptions has been conducted at various levels in emergency departments,intensive care units,hemodialysis centers,operating rooms,and sterilization and supply centers.Nursing in...In recent years,research on nursing interruptions has been conducted at various levels in emergency departments,intensive care units,hemodialysis centers,operating rooms,and sterilization and supply centers.Nursing interruptions are closely related to adverse nursing events,and interruptions in operating room nursing can significantly impact the success of a patient’s surgery.However,there is a lack of in-depth theoretical research on safety risk assessment and response decision-making by operating room nurses when faced with nursing interruptions.This article reviews the concept,current status,and impact of nursing interruptions in the operating room,analyzes the cognitive level,coping strategies,and negative emotions of operating room nurses,and elaborates on management strategies to provide references for research and management of nursing interruptions in the operating room.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
In order to improve the efficiency of operating rooms,reduce the costs for hospitals and improve the level of service qualities, a scheduling method was developed based on an estimation of distribution algorithm（ EDA...In order to improve the efficiency of operating rooms,reduce the costs for hospitals and improve the level of service qualities, a scheduling method was developed based on an estimation of distribution algorithm（ EDA）. First, a scheduling problem domain is described. Based on assignment constraints and resource capacity constraints, the mathematical programming models are set up with an objective function to minimize the system makespan. On the basis of the descriptions mentioned above, a solution policy of generating feasible scheduling solutions is established. Combined with the specific constraints of operating theatres, the EDA-based algorithm is put forward to solve scheduling problems. Finally, simulation experiments are designed to evaluate the scheduling method. The orthogonal table is chosen to determine the parameters in the proposed method. Then the genetic algorithm and the particle swarm optimization algorithm are chosen for comparison with the EDA-based algorithm, and the results indicate that the proposed method can decrease the makespan of the surgical system regardless of the size of operations. Moreover, the computation time of the EDA-based algorithm is only approximately 5 s when solving the large scale problems, which means that the proposed algorithm is suitable for carrying out an on-line scheduling optimization of the patients.展开更多
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
This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety.Pr...This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety.Previous research primarily focused on integrating reservoir,wellbore,and surface facility constraints,often resulting in broad constraint ranges and slow model convergence.To solve this problem,the present study introduces additional constraints on maximum withdrawal rates by combining binomial deliverability equations with material balance equations for closed gas reservoirs,while considering extreme peak-shaving demands.This approach effectively narrows the constraint range.Subsequently,a collaborative optimization model with maximum gas production as the objective function is established,and the model employs a joint solution strategy combining genetic algorithms and numerical simulation techniques.Finally,this methodology was applied to optimize operational parameters for Gas Storage T.The results demonstrate:(1)The convergence of the model was achieved after 6 iterations,which significantly improved the convergence speed of the model;(2)The maximum working gas volume reached 11.605×10^(8) m^(3),which increased by 13.78%compared with the traditional optimization method;(3)This method greatly improves the operation safety and the ultimate peak load balancing capability.The research provides important technical support for the intelligent decision of injection and production parameters of gas storage and improving peak load balancing ability.展开更多
This standard operating procedure stipulated the natural condition of pro- ducing area, cultivation technique, disease and pest control, harvest, quality stan- dard, packaging, transportation and storage of H. cordata...This standard operating procedure stipulated the natural condition of pro- ducing area, cultivation technique, disease and pest control, harvest, quality stan- dard, packaging, transportation and storage of H. cordata, in order to provide a ba- sis for the standard cultivation of H. cordata.展开更多
Large size utility boilers develop rapidly in China, both their reliability and economics have reached better level. The operating situations of various existing boilers on the basis of different coals are analyzed, i...Large size utility boilers develop rapidly in China, both their reliability and economics have reached better level. The operating situations of various existing boilers on the basis of different coals are analyzed, it is held that, the notable energy imbalance of furnace exit, ever existing in the tangential firing boilers has been solved, with comparatively lower NOX emission concentration of gained. The higher NOX emission concentration and furnace slagging etc. problems existing in wall firing boilers are notable. The comprehensive analysis shows that, it is appropriate to choose lower furnace volume heat release rate and higher flame height in the type selection design of boilers, and sufficient margin should be kept in the selection of coal pulverizing mills.展开更多
The contamination diffusion to the operating room when the door is open was simulated with a computational fluid dynamic(CFD) method,to give the extent of the contamination diffusion.The influence of the door-opening ...The contamination diffusion to the operating room when the door is open was simulated with a computational fluid dynamic(CFD) method,to give the extent of the contamination diffusion.The influence of the door-opening procedure was ignored since the door of the operating room is normally a sliding one.The flow field in the case of the 16 s course of opening the door was simulated.The simulated and the experimental results demonstrate that the extent of the contamination diffusion is around 1.5 m when there is no temperature difference between indoor and outdoor,and there is hardly any contamination diffusion when the temperature difference is 1 ℃.It can be concluded that the positive pressure difference in the operating room lost its function in preventing the contamination when the door is open.That the temperature of corridor is lower than that of operating room contributes to contamination control.Keeping 1 ℃ temperature difference between corridor and operating room and increasing positive pressure and air flow are suggested.It is more secure to set up an anteroom if persons come in or out of the operation room at the course of surgery.展开更多
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.
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partially funded by the National Natural Science Foundation of China(62273215)。
文摘Integrated continuous stirred-tank reactors and distillation columns with recycle(CSTR-DC-recycle)are essential components in chemical processes.This paper proposes a method to establish a normal operating zone(NOZ)model to represent allowable variations of the CSTR-DC-recycle chemical processes.The NOZ is a geometric space containing all safe operating points of the CSTR-DC-recycle chemical processes,so that it is an effective model for process monitoring.The novelty of the proposed method is to establish the NOZ model based on boundary points.The boundary points make it possible to capture the actual geometric space irrespective of the space shape.In contrast,existing methods represent the NOZ of processes by fixed mathematical models such as ellipsoidal and convex-hull models;they are not suitable for the CSTR-DC-recycle chemical processes whose NOZs cannot be exactly defined by fixed mathematical structures.Simulated case studies based on Aspen Hysys software are given to illustrate the proposed method.
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(NSFC,No.62303031)the Fundamental Research Funds for the Central Universities。
文摘When estimating the capacity of lithium-ion batteries offline or online,it is essential to extract a health feature(HF)that can effectively characterize capacity degradation under both conventional ideal and complex dynamic operating conditions.However,the extraction of most HFs relies on complete charge-discharge cycle data,making them less adaptable to complex dynamic operating conditions.Existing mechanism HFs,while capable of characterizing capacity degradation from a mechanism perspective,suffer from limitations such as insufficient physical model expressiveness,high dimension,and redundancy of the mechanism HF.These issues increase the complexity of subsequent modeling of the relationship between HFs and capacity,thereby restricting their promotion in engineering practice.To meet this gap,this paper proposes a novel mechanism-based HF.Firstly,a multi-physical fields coupling model is developed to describe the interactions between electrochemical,thermal,and aging behaviors of the battery.Secondly,based on the aging mechanism,the accumulated charge of lithium lost during the formation of the solid electrolyte interphase(SEI)film is extracted as HF to provide a more intuitive representation of capacity degradation.Then,to reduce estimation errors caused by considering only a single aging mechanism,multiple representative regression models are employed to establish the mapping relationship between the mechanism HF and capacity,further enhancing the accuracy of final results.Finally,the proposed method is implemented and validated using real battery data under three different types of operating conditions.Experimental results demonstrate that,compared to other commonly used HFs,the proposed HF exhibits significant competitive advantages in handling incomplete cycle data,unknown operating conditions,and capacity estimation models.The minimum estimation error under ideal conditions is 0.0074,and the minimum estimation error under complex dynamic conditions is 0.0268.
文摘The Healthcare Failure Mode and Effect Analysis(HFMEA)model,as a proactive risk assessment tool,systematically identifies potential infection risk points during surgical procedures and evaluates the failure modes and their effects that may result from these risks.Evidence-based medicine,on the other hand,emphasizes making medical decisions based on the best available evidence.Combining these two approaches can provide more scientific and effective strategies for preventing infection in operating rooms.This paper delves into the application of the HFMEA model and evidence-based medicine in the field of infection prevention in operating rooms,aiming to offer new perspectives and methods for this critical aspect of healthcare.
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.
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 effectiveness of the“Six-Step”Scenario-Based Teaching Method in operating room nursing education.Methods:Seventy nursing students undergoing clinical training in the operating room of a certain hospital from January 2024 to June 2025 were selected.They were randomly divided into an observation group(n=35)and a control group(n=35)using a random number table.The control group received traditional“mentor-apprentice”on-the-job training,while the observation group underwent the“six-step”scenario-based teaching method.The two groups were compared on final assessment scores,comprehensive competency,surgical nursing emergency response ability,and teaching satisfaction indicators.Results:The observation group achieved significantly higher final assessment scores(85.54±5.05)than the control group(78.63±4.75);After instruction,the observation group scored significantly higher than the control group in:mastery of basic duties and procedures(4.22±0.30 vs.3.98±0.30),understanding of surgical nursing essentials(4.39±0.19 vs.3.98±0.30),proficiency in surgical assistance(4.11±0.33 vs.3.98±0.30),aseptic awareness(4.32±0.24 vs.3.98±0.30),risk awareness(4.22±0.17 vs.3.98±0.30),and occupational safety awareness(4.01±0.23 vs.3.98±0.30).(4.01±0.23),which were significantly higher than the control group’s scores(3.36±0.28),(3.14±0.27),(3.29±0.24),(3.53±0.36),(3.17±0.25),and(3.51±0.18),respectively.Students in the observation group scored significantly higher than the control group in emergency hands-on skills(24.53±1.85 points),surgical coordination skills(27.65±1.87 points),emergency coordination skills(25.34±1.83 points),and patient condition observation skills(24.34±1.79 points)were significantly higher than those of the control group(20.78±1.74 points,26.31±1.95 points,22.92±1.69 points,and 21.58±1.77 points,respectively).The satisfaction rate with operating room nursing education among students in the observation group(97.00%)was significantly higher than that in the control group(77.00%).All differences were statistically significant(p<0.05).Conclusion:The“Six-Step”Scenario-Based Teaching Method effectively enhances operating room students’mastery of theoretical knowledge,practical skills,and core comprehensive abilities,while significantly improving their teaching satisfaction.It warrants promotion and application in operating room nursing education.
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.
基金Analysis of Lung Compliance Measurement and its Guided Therapeutic Effects in Patients with ARDS Secondary to Severe Multiple Trauma(Project No.:XSD-2023-002)。
文摘In recent years,research on nursing interruptions has been conducted at various levels in emergency departments,intensive care units,hemodialysis centers,operating rooms,and sterilization and supply centers.Nursing interruptions are closely related to adverse nursing events,and interruptions in operating room nursing can significantly impact the success of a patient’s surgery.However,there is a lack of in-depth theoretical research on safety risk assessment and response decision-making by operating room nurses when faced with nursing interruptions.This article reviews the concept,current status,and impact of nursing interruptions in the operating room,analyzes the cognitive level,coping strategies,and negative emotions of operating room nurses,and elaborates on management strategies to provide references for research and management of nursing interruptions in the operating room.
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The National Natural Science Foundation of China(No.61273035,71471135)
文摘In order to improve the efficiency of operating rooms,reduce the costs for hospitals and improve the level of service qualities, a scheduling method was developed based on an estimation of distribution algorithm（ EDA）. First, a scheduling problem domain is described. Based on assignment constraints and resource capacity constraints, the mathematical programming models are set up with an objective function to minimize the system makespan. On the basis of the descriptions mentioned above, a solution policy of generating feasible scheduling solutions is established. Combined with the specific constraints of operating theatres, the EDA-based algorithm is put forward to solve scheduling problems. Finally, simulation experiments are designed to evaluate the scheduling method. The orthogonal table is chosen to determine the parameters in the proposed method. Then the genetic algorithm and the particle swarm optimization algorithm are chosen for comparison with the EDA-based algorithm, and the results indicate that the proposed method can decrease the makespan of the surgical system regardless of the size of operations. Moreover, the computation time of the EDA-based algorithm is only approximately 5 s when solving the large scale problems, which means that the proposed algorithm is suitable for carrying out an on-line scheduling optimization of the patients.
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 the Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202401501,KJZD-M202401501).
文摘This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety.Previous research primarily focused on integrating reservoir,wellbore,and surface facility constraints,often resulting in broad constraint ranges and slow model convergence.To solve this problem,the present study introduces additional constraints on maximum withdrawal rates by combining binomial deliverability equations with material balance equations for closed gas reservoirs,while considering extreme peak-shaving demands.This approach effectively narrows the constraint range.Subsequently,a collaborative optimization model with maximum gas production as the objective function is established,and the model employs a joint solution strategy combining genetic algorithms and numerical simulation techniques.Finally,this methodology was applied to optimize operational parameters for Gas Storage T.The results demonstrate:(1)The convergence of the model was achieved after 6 iterations,which significantly improved the convergence speed of the model;(2)The maximum working gas volume reached 11.605×10^(8) m^(3),which increased by 13.78%compared with the traditional optimization method;(3)This method greatly improves the operation safety and the ultimate peak load balancing capability.The research provides important technical support for the intelligent decision of injection and production parameters of gas storage and improving peak load balancing ability.
基金Supported by Key Research and Development Plan(Agricultural Support Field)of Hunan Province in 2015(2015NK3016)
文摘This standard operating procedure stipulated the natural condition of pro- ducing area, cultivation technique, disease and pest control, harvest, quality stan- dard, packaging, transportation and storage of H. cordata, in order to provide a ba- sis for the standard cultivation of H. cordata.
文摘Large size utility boilers develop rapidly in China, both their reliability and economics have reached better level. The operating situations of various existing boilers on the basis of different coals are analyzed, it is held that, the notable energy imbalance of furnace exit, ever existing in the tangential firing boilers has been solved, with comparatively lower NOX emission concentration of gained. The higher NOX emission concentration and furnace slagging etc. problems existing in wall firing boilers are notable. The comprehensive analysis shows that, it is appropriate to choose lower furnace volume heat release rate and higher flame height in the type selection design of boilers, and sufficient margin should be kept in the selection of coal pulverizing mills.
文摘The contamination diffusion to the operating room when the door is open was simulated with a computational fluid dynamic(CFD) method,to give the extent of the contamination diffusion.The influence of the door-opening procedure was ignored since the door of the operating room is normally a sliding one.The flow field in the case of the 16 s course of opening the door was simulated.The simulated and the experimental results demonstrate that the extent of the contamination diffusion is around 1.5 m when there is no temperature difference between indoor and outdoor,and there is hardly any contamination diffusion when the temperature difference is 1 ℃.It can be concluded that the positive pressure difference in the operating room lost its function in preventing the contamination when the door is open.That the temperature of corridor is lower than that of operating room contributes to contamination control.Keeping 1 ℃ temperature difference between corridor and operating room and increasing positive pressure and air flow are suggested.It is more secure to set up an anteroom if persons come in or out of the operation room at the course of surgery.
