Enhancing Hazardous Chemical Management in Chinese University Laboratories:Strategies for Safety and Efficiency

This paper examines the management of hazardous chemicals in Chinese university laboratories,identifying key challenges and proposing improvements.It reviews current practices and safety measures,highlighting deficiencies such as inadequate safety systems and insufficient awareness among personnel.The study emphasizes the necessity of tailored safety management systems,the integration of digital tracking technologies like Radio Frequency Identification,and enhanced safety training for staff.The proposed recommendations aim to mitigate risks and enhance laboratory safety and efficiency.In conclusion,the paper asserts that a comprehensive approach,encompassing improved management systems,technological advancements,and educational initiatives,is essential for safer chemical handling in academic research environments.

Construction Safety Management of Mechanical and Electrical Installation Projects

Various industries today rely on the support of electromechanical equipment,expanding its scope of application and leading to an increase in electromechanical installation projects.However,due to the high level of expertise required and the potential risks involved,it is crucial to emphasize safety management during construction.This paper delves into the significance of construction safety management for electromechanical installation projects,identifies common problems encountered during construction,and proposes solutions.This analysis aims to provide relevant personnel with essential guidance and references for managing electromechanical installation projects safely.

Development of a Sports Safety Promotion Framework Based on KABP Theory and 4M Management

This study explores the significance,current research landscape,and conceptualization of sports safety promotion.Safety in sports is fundamental to youth physical activities,and an excessive focus on or neglect of safety is unwarranted.Globally,numerous countries have extensively researched sports safety promotion and implemented diverse strategies.Drawing from KABP(Knowledge,Attitude,Behavior,Practice)theory and 4M(Man,Machine,Medium,Management)management,this paper presents a conceptual framework for sports safety promotion.It integrates these theories to devise a comprehensive accident prevention model within a sports safety promotion system.The framework prioritizes enhancing students’safety literacy and underscores the practical application of safety knowledge and skills in simulated sports settings following structured safety education.It aims to enhance students’competency and proficiency in averting sports-related injuries.

Application effect of case management nursing based on patient safety in patients with prostate cancer

BACKGROUND Globally,prostate cancer has become a major threat to men's health,with an increasing incidence and causes serious effects on the quality and length of life of patients.Despite the rapid development of medical technology,which provides treatments,including surgery,radiotherapy,and endocrine therapy,the treatment of patients with prostate cancer,especially with endocrine therapy,has become a major challenge in clinical treatment owing to the lengthy course of treatment,side effects of drugs,and impact of the disease on the psychological and physiological functioning of the patient,producing poor treatment adherence and a decline in quality of life.After the nursing intervention,the anxiety and depression scores of the observation group were significantly lower than those of the control group(P<0.05).The quality of life score,sexual function,and hormone function were significantly higher than those in the control group(P<0.05).CONCLUSION Case management guidance based on patient safety effectively reduced anxiety and depression in patients undergoing endocrine therapy for prostate cancer and improved their quality of life,treatment compliance,and satisfaction.

Appropriateness of Amikacin Dose Prescription, Monitoring and Safety during Hospitalization as an Impact of Clinical Pharmacologist Intervention, in the Israeli Regional Hospital

Background: Use of inappropriate amikacin dose is one of the most important factors in inducing toxicity, prolonged hospitalization as well as in increasing patient’s mortality. Objective: The aims of this study are the analysis of amikacin dose, serum level and the examination of the effectiveness of the clinical pharmacologist (CP) therapeutic drug monitoring (TDM) intervention to guarantee the safety of amikacin use. Methods: This is a one-year retrospective observational chart review study, which evaluates amikacin dose, serum drug level, development of adverse effects in patients on amikacin with or without CP TDM consultation. Results: Amikacin was prescribed for 393 complex patients, with median age 83. Amikacin group (AG) included 140 (32%) courses with CP consultation (AG1) and 292 (68%) courses without CP consultation (AG2). The distribution of most study characteristics in both groups was similar including amikacin dose (9-10 mg/kg/day), renal failure (14%) and mortality (12%). Acceptance for CP consultation was in 46% of amikacin courses and dose changes were done in 63% after CP intervention. Prolonged antibiotic course (4.6 ± 1.5 vs 3.8 ± 1.6 days, p < 0.0001) and the patient’s hemodynamic instability (15% vs 7%, p = 0.01) were more frequent in the AG1 compared to the AG2. There was a strong association between CP consultation and prolonged hospitalization (p = 0.005), while no association between it and amikacin adverse effects, renal failure or mortality. Conclusions: There was no trend to reducing amikacin toxicity, days of hospitaliza tion or mortality in patients with CP consultation. CP TDM intervention was more in the management of complicated clinical situations. However, it is necessary to optimize it.

Technical Analysis of Safety Monitoring and Evaluation of Existing Bridge Structures

Bridge structure safety monitoring and assessment has been a great concern for the government and the public,and bridge structure safety monitoring and assessment technology has also developed rapidly over the years.Its goal is to equip relevant organizations and professionals with a deep understanding of the principles and practical applications of these technologies.By doing so,it seeks to facilitate the effective implementation of safety monitoring and assessment practices in bridge management.Ultimately,the aim is to foster the constructive development of road and bridge construction and operational management at a broader level.

Analysis of The Impact of Excellent Event Management on the Safety of Patients and Clinical Caregivers

Objective: To investigate the impact of excellent event management in improving patient safety and nursing staff care satisfaction. Methods: The study was analyzed by retrospective comparison, and routine management from January 2022 to December 2022 was set as the control group, and excellent event management from January 2023 to January 2024 was set as the study group. The differences in nursing outcomes between both groups were compared. Results: The rate of adverse events in the study group (0.61%) was lower than that in the control group (0.96%), and the rate of excellent events in the study group (2.57%) was higher than that in the control group (0.97%) (P < 0.05). Meanwhile, the satisfaction level of nursing safety in the study group reached 98.81%, which was much higher than in the control group (92.21%) (P < 0.05). Conclusion: Nursing excellent event management had a positive impact on improving patient care safety satisfaction, reducing the rate of adverse events, and increasing the rate of reporting excellent events.

Research on the Application of Virtual Simulation Technology in the Safety Management of Coal Mining

Safety is paramount in coal mining as it affects efficiency.Thus,it is essential to enhance the management of coal mine safety.With the ongoing advancement of modern technologies,more innovative solutions are being integrated into the safety management of coal mining,including virtual simulation technology.This paper focuses on analyzing and researching the application of virtual simulation technology in the safety management of coal mining,providing insights for reference.

Research on Smart Energy Monitoring and Management System Based on Digital Twin Technology

Smart energy monitoring and management system lays a foundation for the application and development of smart energy. However, in recent years, the work efficiency of smart energy development enterprises has generally been low, and there is an urgent need to improve the application efficiency, resilience and sustainability of smart energy monitoring and management system. Digital twin technology provides a data-centric solution to improve smart energy monitoring and management system, bringing an opportunity to transform passive infrastructure assets into data-centric systems. This paper expounds on the concept and key technologies of digital twin, and designs a smart energy monitoring and management system based on digital twin technology, which has dual significance for promoting the development of smart energy field and promoting the application of digital twin.

Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine

The crowd sensing technology can realize the sensing and computing of people,machines,and environment in smart industrial IoT-based coal mine,which provides a solution for safety monitoring through distributed intelligence optimization.However,due to the difficulty of neural network training to achieve global optimality and the fact that traditional LSTM methods do not consider the relationship between adjacent machines,the accuracy of human body position prediction and pressure value prediction is not high.To solve these problems,this paper proposes a smart industrial IoT empowered crowd sensing for safety monitoring in coal mine.First,we propose a Particle Swarm Optimization-Elman Neural Network(PE)algorithm for the mobile human position prediction.Second,we propose an ADI-LSTM neural network prediction algorithm for pressure values of machines supports in underground mines.Among them,our proposed PE algorithm has the lowest average cumulative prediction error,and the trajectory fit rate is improved by 24.1%,13.9%and 8.7%compared with Kalman filtering,Elman and Kalman plus Elman algorithms,respectively.Meanwhile,compared with single-input ARIMA,RNN,LSTM,and GRU,the RMSE values of our proposed ADI-LSTM are reduced by 36.6%,52%,32%,and 13.7%,respectively;and the MAPE values are reduced by 0.0003%,0.9482%,1.1844%,and 0.3620%,respectively.

Safety risk management of underground engineering in China：Progress, challenges and strategies

Underground construction in China is featured by large scale, high speed, long construction period,complex operation and frustrating situations regarding project safety. Various accidents have been reported from time to time, resulting in serious social impact and huge economic loss. This paper presents the main progress in the safety risk management of underground engineering in China over the last decade, i.e.（1） establishment of laws and regulations for safety risk management of underground engineering,（2） implementation of the safety risk management plan,（3） establishment of decision support system for risk management and early-warning based on information technology, and（4） strengthening the study on safety risk management, prediction and prevention. Based on the analysis of the typical accidents in China in the last decade, the new challenges in the safety risk management for underground engineering are identified as follows：（1） control of unsafe human behaviors;（2） technological innovation in safety risk management; and（3） design of safety risk management regulations. Finally, the strategies for safety risk management of underground engineering in China are proposed in six aspects, i.e. the safety risk management system and policy, law, administration, economy, education and technology.

Optimal Machine Learning Enabled Performance Monitoring for Learning Management Systems

Learning Management System(LMS)is an application software that is used in automation,delivery,administration,tracking,and reporting of courses and programs in educational sector.The LMS which exploits machine learning(ML)has the ability of accessing user data and exploit it for improving the learning experience.The recently developed artificial intelligence(AI)and ML models helps to accomplish effective performance monitoring for LMS.Among the different processes involved in ML based LMS,feature selection and classification processesfind beneficial.In this motivation,this study introduces Glowworm-based Feature Selection with Machine Learning Enabled Performance Monitoring(GSO-MFWELM)technique for LMS.The key objective of the proposed GSO-MFWELM technique is to effectually monitor the performance in LMS.The pro-posed GSO-MFWELM technique involves GSO-based feature selection techni-que to select the optimal features.Besides,Weighted Extreme Learning Machine(WELM)model is applied for classification process whereas the parameters involved in WELM model are optimallyfine-tuned with the help of May-fly Optimization(MFO)algorithm.The design of GSO and MFO techniques result in reduced computation complexity and improved classification performance.The presented GSO-MFWELM technique was validated for its performance against benchmark dataset and the results were inspected under several aspects.The simulation results established the supremacy of GSO-MFWELM technique over recent approaches with the maximum classification accuracy of 0.9589.

Safety and Quality Control Management Strategy for Urban Railway Engineering Construction

The safety management of urban railway engineering construction involves many different aspects and a wide scope,playing an important role in guaranteeing the safety of construction projects.Management agencies have more stringent requirements on the quality of railway construction.The overall quality of a construction project should meet the construction requirements before the project can be carried out.In this article,the problems in the actual work of the entire life cycle of safety management are explained,and the lessons and experience pertaining to the safety and quality of urban railway construction projects are discussed.The purpose of this paper is to provide references for the management of urban railway construction.

Research on coal mine safety production management decision system based on VB

Based on safety management appraisal theory, the decision system was divided into 5 function menu module, including system control module, mining coal and the tunneling working surface security evaluation module, the entire ore safety production condition appraisal module, the safety management level appraisal module of main production work area, the withdrawal system module and so on. The system operates through the constitutive procedure, outputs the main operation results by graph and form, and realizes the main function of safety evaluation.

Structural safety monitoring for Nanjing Yangtze River Bridge

In order to evaluate objectively and accurately the integrity, safety and operating conditions in real time for the Nanjing Yangtze River Bridge, a large structural safety monitoring system was described. The monitoring system is composed of three parts: sensor system, signal sampling and processing system, and safety monitoring and assessment system. Combining theoretical analysis with measured data analysis, main monitoring contents and layout of measuring points were determined. The vibration response monitoring was significantly investigated. The main contents of safety monitoring on vibration response monitoring are vibration of the main body of the Nanjing Yangtze river bridge, collision avoidance of the bridge piers, vibration of girders on high piers for the bridge approach and earthquake. As a field laboratory, the safety monitorying system also provides information to investigate the unknown and indeterminate problems on bridge structures and specific environment around bridges.

Formal management-specifying approach for model-based safety assessment

In the field of model-based system assessment,mathematical models are used to interpret the system behaviors.However,the industrial systems in this intelligent era will be more manageable.Various management operations will be dynamically set,and the system will be no longer static as it is initially designed.Thus,the static model generated by the traditional model-based safety assessment(MBSA)approach cannot be used to accurately assess the dependability.There mainly exists three problems.Complex:huge and complex behaviors make the modeling to be trivial manual;Dynamic:though there are thousands of states and transitions,the previous model must be resubmitted to assess whenever new management arrives;Unreusable:as for different systems,the model must be resubmitted by reconsidering both the management and the system itself at the same time though the management is the same.Motivated by solving the above problems,this research studies a formal management specifying approach with the advantages of agility modeling,dynamic modeling,and specification design that can be re-suable.Finally,three typical managements are specified in a series-parallel system as a demonstration to show the potential.

Healthcare Risk Management and Patient Safety in Turkish Hospital

Patient safety is an important component of risk management in hospitals. The aim of the study is to measure physician and nurse awareness about four selected patient safety indicators by authors and events reported about these relevant indicators in the hospital. The study uses standardized four patientsafety indicators like ＂needle sticks, cut wounds, dressing allergy, infections indicators＂. Cross section study was conducted through three month period in 2011-2012 based on voluntary response to the questionnaire that intend to measure knowledge about four health indicators. Studypopulations consisted of accessible sample of 146 different specialty physicians and 108 nurses present on duty during survey period. The association between the patient safety indicators and events reported about indicators in questionswere analyzed. Meanpatient safety knowledge questionnaire scores of health staff （nurse and physician） for needle sticks, cut wounds, dressing allergy, infections indicators were 47.13（11.8）, 39.04（14.5）, 38.02（10.5）, 39.72（9.7）, respectively. Significant statistical differences were also found between the frequency of events reported according to department and patient safety indicators （F = 8.34; p 〈 0.05） Measuring patient safety culture via safety indicators is essential in improving patient safety. This matter is perfectly influence the financial management of the hospital.

Application of coal mine dynamic safety management and occupational health and safety management system

A method system was put forward based on the occupational health and safety management system to develop the dynamic safety management of coal mine. It aimed at the problems in the mining safety management and was put in practice in Lingxin coal mine of Ningxia Coal Industry Group Co., Ltd.. And good effect was obtained in safety work. It developed the mining dynamic safety management based on the building of occupational health and safety management system of mining enterprise and its main contents are as follows： timely identification and dynamic control of accident risk, persistent improvement of safety management performance according to the ＂PDCA＂ circle.

Genetic Regression Model for Dam Safety Monitoring

Under-fitting problems usually occur in regression models for dam safety monitoring.To overcome the local convergence of the regression, a genetic algorithm (GA) was proposed using a real parameter coding, a ranking selection operator, an arithmetical crossover operator and a uniform mutation operator, and calculated the least-square error of the observed and computed values as its fitness function. The elitist strategy was used to improve the speed of the convergence. After that, the modified genetic algorithm was applied to reassess the coefficients of the regression model and a genetic regression model was set up. As an example, a slotted gravity dam in the Northeast of China was introduced. The computational results show that the genetic regression model can solve the under-fitting problems perfectly.

Design and Implementation of Traceability Management System of Agricultural Products Quality and Safety Based on Domestic Basic Software of China

[Objective] To establish the traceability mechanism of agricultural products safety, and the application of promote domestic based software in the supervision area of agricultural products quality and safety. [Method] Through the analysis on the circulation characteristics of agricultural products, like fruits, vegetables, livestock and poultry, the agricultural products quality safety management and traceability query business component libraries were designed. Based on the run-time-supporting environment provided by domestic based software, traceability management system of agricultural products quality and safety was constructed. [Result] The traceability management system provided the information interaction and comprehensive management platform of agricultural product quality and safety based on domestic based software for the government, enterprises and consumers. [Conclusion] Through the application demonstration, the quality control and information traceability of full circulation of agricultural products was achieved effective and reliably, and the management level of agricultural products quality and safety was improved.