Background:Community-based first responders face high levels of workplace stressors that can pro-foundly impact their physical and mental health.Mindfulness-based interventions have shown promise in decreasing stress ...Background:Community-based first responders face high levels of workplace stressors that can pro-foundly impact their physical and mental health.Mindfulness-based interventions have shown promise in decreasing stress and increasing psychological resilience;however,implementation is difficult due to unpredictability of the job,department culture,and generational preferences.The objective of this qualitative study was to identify and enhance understanding of the specific needs and potential barriers and facilitators for the implementation of mindfulness-based programming for community-based first responders.Methods:A phenomenological qualitative study design was used to gain insights into the lived experiences of first responders and elicit perceptions regarding barriers and facilitators for engaging in mindfulness activities.During virtual semi-structured interviews,eleven career firefighters and emergency medical service(EMS)providers offered feedback relative to worksite mindfulness practices,and the use of a stress reduction smartphone application.The Consolidated Framework for Implementation Research was used to guide the analysis relative to barriers and facilitators of implementation success and sustainability.Results:First responders expressed openness to mindfulness-based interventions and a smartphone app that would provide stress reduction content,however,they were adamant that programming needed to be accessible and easily integrated into their workday.They also reinforced that organizational culture and leadership support for their health and well-being were overarching factors essential for implementation success.Conclusions:First responders were supportive of evidence-based mindfulness practices,optimally developed and/or facilitated by someone with intimate knowledge of their unique work environments and challenges.Organizational culture and leadership support were essential for implementation success and sustainability.展开更多
As the healthcare system advances and expands in its services,the challenges of remaining efficient become more important.Emergency medical services(EMS)are vital cornerstones of communities.In many countries,EMS is a...As the healthcare system advances and expands in its services,the challenges of remaining efficient become more important.Emergency medical services(EMS)are vital cornerstones of communities.In many countries,EMS is available for every individual,regardless of their social or insurance status,via a toll-free telephone number.Understanding the risk factors for busy days in EMSs might be helpful for improving the allocation of resources,which is the key to better care for all patients in the prehospital setting.[1]An important factor influencing ambulance call volume could be the interplay of public behavior and weather.展开更多
The advent of microgrids in modern energy systems heralds a promising era of resilience,sustainability,and efficiency.Within the realm of grid-tied microgrids,the selection of an optimal optimization algorithm is crit...The advent of microgrids in modern energy systems heralds a promising era of resilience,sustainability,and efficiency.Within the realm of grid-tied microgrids,the selection of an optimal optimization algorithm is critical for effective energy management,particularly in economic dispatching.This study compares the performance of Particle Swarm Optimization(PSO)and Genetic Algorithms(GA)in microgrid energy management systems,implemented using MATLAB tools.Through a comprehensive review of the literature and sim-ulations conducted in MATLAB,the study analyzes performance metrics,convergence speed,and the overall efficacy of GA and PSO,with a focus on economic dispatching tasks.Notably,a significant distinction emerges between the cost curves generated by the two algo-rithms for microgrid operation,with the PSO algorithm consistently resulting in lower costs due to its effective economic dispatching capabilities.Specifically,the utilization of the PSO approach could potentially lead to substantial savings on the power bill,amounting to approximately$15.30 in this evaluation.Thefindings provide insights into the strengths and limitations of each algorithm within the complex dynamics of grid-tied microgrids,thereby assisting stakeholders and researchers in arriving at informed decisions.This study contributes to the discourse on sustainable energy management by offering actionable guidance for the advancement of grid-tied micro-grid technologies through MATLAB-implemented optimization algorithms.展开更多
The edible mushroom Agaricus bisporus L.plays a crucial ecological role in nutrient cycling and organic matter decomposition,alongside its increasing importance in the food and nutrition industry.This study explored e...The edible mushroom Agaricus bisporus L.plays a crucial ecological role in nutrient cycling and organic matter decomposition,alongside its increasing importance in the food and nutrition industry.This study explored ecological interventions to enhance the mushroom’s vitamin content by enriching its cultivation substrate with nanomaterials and biostimulatory agents.The experiment was conducted within the mushroom production project at Al-Qadisiyah Governorate,Iraq.The compost-based medium was amended with magnetic iron nanoparticles(N-FeO),carbon nanotube(CNT)suspensions,EM biofertilizer,and Atonik growth stimulant.Their ecological impact on the enrichment of fat-soluble(A,D,E)and water-soluble(B2,B3,B5,B6)vitamins in mushrooms was assessed.The study employed a Completely Randomized Design(CRD)with three replicates.Results revealed that the synergistic application of these eco-friendly treatments significantly enhanced the vitamin profiles of A.bisporus.The highest concentrations of vitamins B2 and B5(5.16 and 17.70 mg kg^(-1),respectively)and vitamin A(6.87 IU ml^(-1))were recorded under the combined quadruple treatment.Additionally,the triple treatment(N-FeO+EM+Atonik)notably increased levels of vitamins B2(4.47 mg kg^(-1)),B6(25.66 mg kg^(-1)),D(34.76 mg kg^(-1)),and vitamin A(6.87 IU ml^(-1)).Dual treatments(EM+Atonik)also significantly improved vitamin B2(4.54 mg kg^(-1))and vitamin E(3.30 mg kg^(-1))contents.These findings demonstrate that integrating nanomaterials and biostimulants can serve as an ecological strategy to improve the nutritional quality of mushrooms while promoting sustainable agricultural practices.展开更多
Nowadays, there exist various standards for individual management systems （MSs）, at least, one for each stakeholder. New ones will be published. An integrated management system （IMS） aims to integrate some or all ...Nowadays, there exist various standards for individual management systems （MSs）, at least, one for each stakeholder. New ones will be published. An integrated management system （IMS） aims to integrate some or all components of the business into one coherent and efficient MS. Maximizing integration is more and more a strategic priority in that it constitutes an opportunity to eliminate and/or reduce potential factors of destruction of value for the organizations and also to be more competitive and consequently promote its sustainable success. A preliminary investigation was conducted on a Portuguese industrial company which, over the years, has been adopting gradually, in whole or in part, individualized management system standards （MSSs）. A research, through a questionnaire, was performed with the objective to develop, in a real business environment, an adequate and efficient IMS-QES （quality, environment, and safety） model and to potentiate for the future a generic IMS model to integrate other MSSs. The strategy and research methods have taken into consideration the case study. It was obtained a set of relevant conclusions resulting from the statistical analyses of the responses to the survey. Globally, the investigation results, by themselves, justified and prioritized the conception of a model of development of the IMS-QES and consequent definition and validation of a structure of an IMS-QES model, to be implemented at the small- and medium-sized enterprise （SME） where the investigation was conducted.展开更多
Aiming at evaluating and predicting rapidly and accurately a high sensitivity receiver’s adaptability in complex electromagnetic environments,a novel testing and prediction method based on dual-channel multi-frequenc...Aiming at evaluating and predicting rapidly and accurately a high sensitivity receiver’s adaptability in complex electromagnetic environments,a novel testing and prediction method based on dual-channel multi-frequency is proposed to improve the traditional two-tone test.Firstly,two signal generators are used to generate signals at the radio frequency(RF)by frequency scanning,and then a rapid measurement at the intermediate frequency(IF)output port is carried out to obtain a huge amount of sample data for the subsequent analysis.Secondly,the IF output response data are modeled and analyzed to construct the linear and nonlinear response constraint equations in the frequency domain and prediction models in the power domain,which provide the theoretical criteria for interpreting and predicting electromagnetic susceptibility(EMS)of the receiver.An experiment performed on a radar receiver confirms the reliability of the method proposed in this paper.It shows that the interference of each harmonic frequency and each order to the receiver can be identified and predicted with the sensitivity model.Based on this,fast and comprehensive evaluation and prediction of the receiver’s EMS in complex environment can be efficiently realized.展开更多
In the era of an energy revolution,grid decentralization has emerged as a viable solution to meet the increasing global energy demand by incorporating renewables at the distributed level.Microgrids are considered a dr...In the era of an energy revolution,grid decentralization has emerged as a viable solution to meet the increasing global energy demand by incorporating renewables at the distributed level.Microgrids are considered a driving component for accelerating grid decentralization.To optimally utilize the available resources and address potential challenges,there is a need to have an intelligent and reliable energy management system(EMS)for the microgrid.The artificial intelligence field has the potential to address the problems in EMS and can provide resilient,efficient,reliable,and scalable solutions.This paper presents an overview of existing conventional and AI-based techniques for energy management systems in microgrids.We analyze EMS methods for centralized,decentralized,and distributed microgrids separately.Then,we summarize machine learning techniques such as ANNs,federated learning,LSTMs,RNNs,and reinforcement learning for EMS objectives such as economic dispatch,optimal power flow,and scheduling.With the incorporation of AI,microgrids can achieve greater performance efficiency and more reliability for managing a large number of energy resources.However,challenges such as data privacy,security,scalability,explainability,etc.,need to be addressed.To conclude,the authors state the possible future research directions to explore AI-based EMS's potential in real-world applications.展开更多
The global economic crisis that blew up at the end of 2006 in the United States has had extremely negative impacts on the social, political, and economic fields. The countries operating in the most affected macro area...The global economic crisis that blew up at the end of 2006 in the United States has had extremely negative impacts on the social, political, and economic fields. The countries operating in the most affected macro areas---the United States and Europe---have put through the wringer the domestic trade relationships as well as the international ones, by injecting a chain reaction into the global economic scenario. However, there are countries that seem to be free from the economic and financial contagion overflowing over the past years, as they are moved by an ＂invincible projection toward the growth＂. The present study aims to analyze how much the main emerging market of China has been effectively involved in this vicious circle. More specifically, the study intends to propose an empirical analysis on the real connection between the macroecnnomic data and the strong structure of the Chinese publicly listed companies. This paper investigates the prediction of failure among 3,220 Chinese publicly traded companies （listed companies） during the global crisis period. By analysing the financial accounting data over the past seven years （2008 to 2014）, the emerging market score （EMS） has been adopted in order to investigate the impact of the crisis on financial distress in the main emerging market of China. The results confirm the following hypotheses： On one hand, the great majority of companies have not been suffering the downturn, since 71.93% of the entire samples present no risk of financial distress during the global crisis; on the other hand, only 6.18% have a reasonable risk of financial distress.展开更多
New energy sources such as solar energy and hydrogen energy have been applied to the Unmanned Aerial Vehicle(UAV), which could be formed as the hybrid power sources due to the requirement of miniaturization, lightweig...New energy sources such as solar energy and hydrogen energy have been applied to the Unmanned Aerial Vehicle(UAV), which could be formed as the hybrid power sources due to the requirement of miniaturization, lightweight, and environmental protection issue for UAV. Hybrid electrical propulsion technology has been used in UAV and it further enforces this trend for the evolution to the Hybrid-Powered System(HPS). In order to realize long endurance flight mission and improve the energy efficiency of UAV, many researching works are focused on the Energy Management Strategy(EMS) of the HPS with digital simulation, ground demonstration platforms and a few flight tests for the UAV in recent years. energy management strategy, in which off-line or on-line control algorithms acted as the core part, could optimize dynamic electrical power distribution further and directly affect the efficiency and fuel economy of hybrid-powered system onboard.In order to give the guideline for this emerging technology for UAV, this paper presents a review of the topic highlighting energy optimal management strategies of UAV. The characteristics of typical new energy sources applied in UAV are summarized firstly, and then the classification and analysis of the architecture for hybrid power systems in UAV are presented. In the context of new energy sources and configuration of energy system, a comprehensive comparison and analysis for the state of art of EMS are presented, and the various levels of complexity and accuracy of EMS are considered in terms of real time, computational burden and optimization performance based on the optimal control and operational modes of UAV. Finally, the tendency and challenges of energy management strategy applied to the UAV have been forecasted.展开更多
Steel structures are widely used in railway infrastructures.Their stress state is the most important determinant of the safety of these structures.The elasto-magnetic (EM) sensor is the most promising for stress monit...Steel structures are widely used in railway infrastructures.Their stress state is the most important determinant of the safety of these structures.The elasto-magnetic (EM) sensor is the most promising for stress monitoring of in-service steel structures.Nevertheless,the necessity of magnetic excitation to saturation due to the use of a secondary coil for signal detection,keeps from its engineering application.In this paper,a smart elasto-magneto-electric (EME) sensor using magneto-electric (ME) sensing units to take the place of the secondary coil has been exploited for the first time.The ME sensing unit is made of ME laminated composites,which has an ultrahigh ME voltage coefficient and can measure the magnetic induction simply and precisely.Theoretical analysis and characterization experiments firstly conducted on the ME laminated composites showed that the ME sensing units can be applied in the EM sensor for improved performance in stress monitoring.A tension test of a steel bar was carried out to characterize our smart EME sensor and the results showed high accuracy and sensitivity.The present smart EME sensor is a promising tool for stress monitoring of steel structures in railway and other civil infrastructures.展开更多
文摘Background:Community-based first responders face high levels of workplace stressors that can pro-foundly impact their physical and mental health.Mindfulness-based interventions have shown promise in decreasing stress and increasing psychological resilience;however,implementation is difficult due to unpredictability of the job,department culture,and generational preferences.The objective of this qualitative study was to identify and enhance understanding of the specific needs and potential barriers and facilitators for the implementation of mindfulness-based programming for community-based first responders.Methods:A phenomenological qualitative study design was used to gain insights into the lived experiences of first responders and elicit perceptions regarding barriers and facilitators for engaging in mindfulness activities.During virtual semi-structured interviews,eleven career firefighters and emergency medical service(EMS)providers offered feedback relative to worksite mindfulness practices,and the use of a stress reduction smartphone application.The Consolidated Framework for Implementation Research was used to guide the analysis relative to barriers and facilitators of implementation success and sustainability.Results:First responders expressed openness to mindfulness-based interventions and a smartphone app that would provide stress reduction content,however,they were adamant that programming needed to be accessible and easily integrated into their workday.They also reinforced that organizational culture and leadership support for their health and well-being were overarching factors essential for implementation success.Conclusions:First responders were supportive of evidence-based mindfulness practices,optimally developed and/or facilitated by someone with intimate knowledge of their unique work environments and challenges.Organizational culture and leadership support were essential for implementation success and sustainability.
文摘As the healthcare system advances and expands in its services,the challenges of remaining efficient become more important.Emergency medical services(EMS)are vital cornerstones of communities.In many countries,EMS is available for every individual,regardless of their social or insurance status,via a toll-free telephone number.Understanding the risk factors for busy days in EMSs might be helpful for improving the allocation of resources,which is the key to better care for all patients in the prehospital setting.[1]An important factor influencing ambulance call volume could be the interplay of public behavior and weather.
文摘The advent of microgrids in modern energy systems heralds a promising era of resilience,sustainability,and efficiency.Within the realm of grid-tied microgrids,the selection of an optimal optimization algorithm is critical for effective energy management,particularly in economic dispatching.This study compares the performance of Particle Swarm Optimization(PSO)and Genetic Algorithms(GA)in microgrid energy management systems,implemented using MATLAB tools.Through a comprehensive review of the literature and sim-ulations conducted in MATLAB,the study analyzes performance metrics,convergence speed,and the overall efficacy of GA and PSO,with a focus on economic dispatching tasks.Notably,a significant distinction emerges between the cost curves generated by the two algo-rithms for microgrid operation,with the PSO algorithm consistently resulting in lower costs due to its effective economic dispatching capabilities.Specifically,the utilization of the PSO approach could potentially lead to substantial savings on the power bill,amounting to approximately$15.30 in this evaluation.Thefindings provide insights into the strengths and limitations of each algorithm within the complex dynamics of grid-tied microgrids,thereby assisting stakeholders and researchers in arriving at informed decisions.This study contributes to the discourse on sustainable energy management by offering actionable guidance for the advancement of grid-tied micro-grid technologies through MATLAB-implemented optimization algorithms.
文摘The edible mushroom Agaricus bisporus L.plays a crucial ecological role in nutrient cycling and organic matter decomposition,alongside its increasing importance in the food and nutrition industry.This study explored ecological interventions to enhance the mushroom’s vitamin content by enriching its cultivation substrate with nanomaterials and biostimulatory agents.The experiment was conducted within the mushroom production project at Al-Qadisiyah Governorate,Iraq.The compost-based medium was amended with magnetic iron nanoparticles(N-FeO),carbon nanotube(CNT)suspensions,EM biofertilizer,and Atonik growth stimulant.Their ecological impact on the enrichment of fat-soluble(A,D,E)and water-soluble(B2,B3,B5,B6)vitamins in mushrooms was assessed.The study employed a Completely Randomized Design(CRD)with three replicates.Results revealed that the synergistic application of these eco-friendly treatments significantly enhanced the vitamin profiles of A.bisporus.The highest concentrations of vitamins B2 and B5(5.16 and 17.70 mg kg^(-1),respectively)and vitamin A(6.87 IU ml^(-1))were recorded under the combined quadruple treatment.Additionally,the triple treatment(N-FeO+EM+Atonik)notably increased levels of vitamins B2(4.47 mg kg^(-1)),B6(25.66 mg kg^(-1)),D(34.76 mg kg^(-1)),and vitamin A(6.87 IU ml^(-1)).Dual treatments(EM+Atonik)also significantly improved vitamin B2(4.54 mg kg^(-1))and vitamin E(3.30 mg kg^(-1))contents.These findings demonstrate that integrating nanomaterials and biostimulants can serve as an ecological strategy to improve the nutritional quality of mushrooms while promoting sustainable agricultural practices.
基金Acknowledgements： This work had the financial support of the Portuguese National Science Foundation （FCT） through the Research Unit, UI 4005, Project Reference PEst-OE/EME/UI4005/2011.
文摘Nowadays, there exist various standards for individual management systems （MSs）, at least, one for each stakeholder. New ones will be published. An integrated management system （IMS） aims to integrate some or all components of the business into one coherent and efficient MS. Maximizing integration is more and more a strategic priority in that it constitutes an opportunity to eliminate and/or reduce potential factors of destruction of value for the organizations and also to be more competitive and consequently promote its sustainable success. A preliminary investigation was conducted on a Portuguese industrial company which, over the years, has been adopting gradually, in whole or in part, individualized management system standards （MSSs）. A research, through a questionnaire, was performed with the objective to develop, in a real business environment, an adequate and efficient IMS-QES （quality, environment, and safety） model and to potentiate for the future a generic IMS model to integrate other MSSs. The strategy and research methods have taken into consideration the case study. It was obtained a set of relevant conclusions resulting from the statistical analyses of the responses to the survey. Globally, the investigation results, by themselves, justified and prioritized the conception of a model of development of the IMS-QES and consequent definition and validation of a structure of an IMS-QES model, to be implemented at the small- and medium-sized enterprise （SME） where the investigation was conducted.
基金supported by the National Natural Science Foundation of China(62071473).
文摘Aiming at evaluating and predicting rapidly and accurately a high sensitivity receiver’s adaptability in complex electromagnetic environments,a novel testing and prediction method based on dual-channel multi-frequency is proposed to improve the traditional two-tone test.Firstly,two signal generators are used to generate signals at the radio frequency(RF)by frequency scanning,and then a rapid measurement at the intermediate frequency(IF)output port is carried out to obtain a huge amount of sample data for the subsequent analysis.Secondly,the IF output response data are modeled and analyzed to construct the linear and nonlinear response constraint equations in the frequency domain and prediction models in the power domain,which provide the theoretical criteria for interpreting and predicting electromagnetic susceptibility(EMS)of the receiver.An experiment performed on a radar receiver confirms the reliability of the method proposed in this paper.It shows that the interference of each harmonic frequency and each order to the receiver can be identified and predicted with the sensitivity model.Based on this,fast and comprehensive evaluation and prediction of the receiver’s EMS in complex environment can be efficiently realized.
文摘In the era of an energy revolution,grid decentralization has emerged as a viable solution to meet the increasing global energy demand by incorporating renewables at the distributed level.Microgrids are considered a driving component for accelerating grid decentralization.To optimally utilize the available resources and address potential challenges,there is a need to have an intelligent and reliable energy management system(EMS)for the microgrid.The artificial intelligence field has the potential to address the problems in EMS and can provide resilient,efficient,reliable,and scalable solutions.This paper presents an overview of existing conventional and AI-based techniques for energy management systems in microgrids.We analyze EMS methods for centralized,decentralized,and distributed microgrids separately.Then,we summarize machine learning techniques such as ANNs,federated learning,LSTMs,RNNs,and reinforcement learning for EMS objectives such as economic dispatch,optimal power flow,and scheduling.With the incorporation of AI,microgrids can achieve greater performance efficiency and more reliability for managing a large number of energy resources.However,challenges such as data privacy,security,scalability,explainability,etc.,need to be addressed.To conclude,the authors state the possible future research directions to explore AI-based EMS's potential in real-world applications.
文摘The global economic crisis that blew up at the end of 2006 in the United States has had extremely negative impacts on the social, political, and economic fields. The countries operating in the most affected macro areas---the United States and Europe---have put through the wringer the domestic trade relationships as well as the international ones, by injecting a chain reaction into the global economic scenario. However, there are countries that seem to be free from the economic and financial contagion overflowing over the past years, as they are moved by an ＂invincible projection toward the growth＂. The present study aims to analyze how much the main emerging market of China has been effectively involved in this vicious circle. More specifically, the study intends to propose an empirical analysis on the real connection between the macroecnnomic data and the strong structure of the Chinese publicly listed companies. This paper investigates the prediction of failure among 3,220 Chinese publicly traded companies （listed companies） during the global crisis period. By analysing the financial accounting data over the past seven years （2008 to 2014）, the emerging market score （EMS） has been adopted in order to investigate the impact of the crisis on financial distress in the main emerging market of China. The results confirm the following hypotheses： On one hand, the great majority of companies have not been suffering the downturn, since 71.93% of the entire samples present no risk of financial distress during the global crisis; on the other hand, only 6.18% have a reasonable risk of financial distress.
基金upported by the Open Innovative Fund of Xi’an Aisheng Technology Group Company of China (No. ASN-IF2015-0202)
文摘New energy sources such as solar energy and hydrogen energy have been applied to the Unmanned Aerial Vehicle(UAV), which could be formed as the hybrid power sources due to the requirement of miniaturization, lightweight, and environmental protection issue for UAV. Hybrid electrical propulsion technology has been used in UAV and it further enforces this trend for the evolution to the Hybrid-Powered System(HPS). In order to realize long endurance flight mission and improve the energy efficiency of UAV, many researching works are focused on the Energy Management Strategy(EMS) of the HPS with digital simulation, ground demonstration platforms and a few flight tests for the UAV in recent years. energy management strategy, in which off-line or on-line control algorithms acted as the core part, could optimize dynamic electrical power distribution further and directly affect the efficiency and fuel economy of hybrid-powered system onboard.In order to give the guideline for this emerging technology for UAV, this paper presents a review of the topic highlighting energy optimal management strategies of UAV. The characteristics of typical new energy sources applied in UAV are summarized firstly, and then the classification and analysis of the architecture for hybrid power systems in UAV are presented. In the context of new energy sources and configuration of energy system, a comprehensive comparison and analysis for the state of art of EMS are presented, and the various levels of complexity and accuracy of EMS are considered in terms of real time, computational burden and optimization performance based on the optimal control and operational modes of UAV. Finally, the tendency and challenges of energy management strategy applied to the UAV have been forecasted.
基金Project supported by the National Natural Science Foundation of China(Nos.50908202,51178426,90915008,and 60801011)the Zhejiang Provincial Natural Science Foundation,China(No.Y1090382)+1 种基金the Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China(No.122012)the Key Science and Technology Innovation Team Program of Zhejiang Province,China(No.2010R50034)
文摘Steel structures are widely used in railway infrastructures.Their stress state is the most important determinant of the safety of these structures.The elasto-magnetic (EM) sensor is the most promising for stress monitoring of in-service steel structures.Nevertheless,the necessity of magnetic excitation to saturation due to the use of a secondary coil for signal detection,keeps from its engineering application.In this paper,a smart elasto-magneto-electric (EME) sensor using magneto-electric (ME) sensing units to take the place of the secondary coil has been exploited for the first time.The ME sensing unit is made of ME laminated composites,which has an ultrahigh ME voltage coefficient and can measure the magnetic induction simply and precisely.Theoretical analysis and characterization experiments firstly conducted on the ME laminated composites showed that the ME sensing units can be applied in the EM sensor for improved performance in stress monitoring.A tension test of a steel bar was carried out to characterize our smart EME sensor and the results showed high accuracy and sensitivity.The present smart EME sensor is a promising tool for stress monitoring of steel structures in railway and other civil infrastructures.
