Introduction EQUATOR Network provides unique access to collated expertise and resources for good reporting of health research, The resources are aimed at researchers （authors of research articles）, journal editors, ...Introduction EQUATOR Network provides unique access to collated expertise and resources for good reporting of health research, The resources are aimed at researchers （authors of research articles）, journal editors, peer reviewers, and developers of reporting guidelines,展开更多
M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to ...M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. To this end, the MobiHealthcare system, which provides a personalized healthcare based on body sensor network, is developed. The system includes various body sensors to collect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spatially and temporally collected medical data from different parts of the body for resource optimization and systematic health monitoring, a server cluster with great data storage capacity, powerful analysis capabilities to provide data storage, data mining and visualization. Compared with existing M-Health system, the MobiHealthcare system is characteristics of low coupling and powerful parallel computing capabilities. Various healthcare applications have been implemented in the proposed system to demonstrate its effectiveness in providing a powerful platform.展开更多
The Internet has become an important channel for college students to acquire knowledge and information.However,network has a negative effect on their healthy growth.The chord-network alienation arises,which is incoord...The Internet has become an important channel for college students to acquire knowledge and information.However,network has a negative effect on their healthy growth.The chord-network alienation arises,which is incoordinated with the rapid development of computer network technology.Based on the analysis of network alienation effect on college students’mental health,this paper put forward the corresponding solution countermeasures from three aspects.展开更多
100 pieces of 26650-type Lithium iron phosphate（LiFePO4） batteries cycled with a fixed charge and discharge rate are tested, and the influence of the battery internal resistance and the instantaneous voltage drop at...100 pieces of 26650-type Lithium iron phosphate（LiFePO4） batteries cycled with a fixed charge and discharge rate are tested, and the influence of the battery internal resistance and the instantaneous voltage drop at the start of discharge on the state of health（SOH） is discussed. A back propagation（BP） neural network model using additional momentum is built up to estimate the state of health of Li-ion batteries. The additional 10 pieces are used to verify the feasibility of the proposed method. The results show that the neural network prediction model have a higher accuracy and can be embedded into battery management system（BMS） to estimate SOH of LiFePO4 Li-ion batteries.展开更多
Abuja is witnessing an upsurge of victims from Road Traffic Crash (RTC) which is mostly due to the attendant rapid increase in the volume of vehicles, traffic jams, bad driving, over speeding, insufficient road signs ...Abuja is witnessing an upsurge of victims from Road Traffic Crash (RTC) which is mostly due to the attendant rapid increase in the volume of vehicles, traffic jams, bad driving, over speeding, insufficient road signs and bad conditions of vehicles that ply the roads. The problem is compounded by a lack of early emergency response. Geographic Information System (GIS) based travel time model was applied in the street network analysis to identify RTC black spots that are outside the close reach of Federal Road Safety Commission (FRSC) rescue points/health facilities in Federal Capital City (FCC). Five minutes, Ten minutes and Fifteen minutes travel times were used as the impedance factor. Remote Sensing and GIS techniques were used to carry out network analysis. This was achieved by conducting the closest facility operation in the ArcGIS network analyst extension using the time of travel from each FRSC zebra point location to the RTC black spot zones/health facility. The results were presented on road network maps and bar graphs. The areas where quick response and medical facilities are insufficient were identified. It was concluded that the available health centres can sufficiently service RTC black spots in FCC, but the FRSC zebra points are insufficient which renders rescue operations inefficient and thereby exposes RTC victims to more danger. In order to ensure that there is sufficient coverage for response times, it was suggested that additional zebra points be created.展开更多
Background: Myanmar’s National Health Plan 2017-2021 set out concrete steps to strengthen the health system on the way to achieving the goal of universal health coverage by 2030. Ensuring these steps include the 7.7 ...Background: Myanmar’s National Health Plan 2017-2021 set out concrete steps to strengthen the health system on the way to achieving the goal of universal health coverage by 2030. Ensuring these steps include the 7.7 million older adults in Myanmar’s population by 2030 will require novel strategies that improve health and reduce financial burden of health expenditures. An examination of the relationship between social networks and selected health outcomes was undertaken to determine whether these networks can safeguard older adults’ continued contributions to family, society and their own health. Methods: Secondary analysis of a nationally representative study of adults aged 60 years and older. Ordered logistic regression analyses with weighted data were used to examine the relationship between a social network variable and a number of health outcomes. Findings: Stronger social networks were associated with better health outcomes like better memory (OR 1.2), lower reported walking difficulties (OR 0.58), better self-reported health (R 1.15). People with higher social ties were also more like to receive regular assistance and provide care for other household members. Interpretation: Social networks play a role in mediating health outcomes and interactions with the health care systems. Social network interventions should be explored as part of policy mechanisms to ensure universal health coverage for older adults in Myanmar.展开更多
Introduction: In developing countries, gender-based violence (GBV) is a real public health problem. In Benin, GBV affects the majority of women and girls (69%). Benin has implemented strategies and set up integrated c...Introduction: In developing countries, gender-based violence (GBV) is a real public health problem. In Benin, GBV affects the majority of women and girls (69%). Benin has implemented strategies and set up integrated centers for the management of violence in order to reduce cases of violence and ensure the holistic management of victims. The objective of our study was to assess the functionality of the network of sexual and reproductive health rights (SRHR) in case of GBV in the commune of Kpomasse in 2022. Method: This descriptive and evaluative study was conducted from March 21 to April 11, 2022. The sampling method used was non-probabilistic. Reasoned choice and convenience were the techniques used for the different targets of the study. The functionality of the SRHR service network was assessed first by calculating scores at the structure, process and outcome levels, and then by analysis using the human rights-based approach. Results: Out of the 34 GBV victims identified, only one had received a full response and 54% of the victims had no knowledge of SRHR. The lack of knowledge about health care facilities was 41% for victims and 80% for non-victims in the community who participated in the study. In the case of gender-based violence, the community preferred to settle out of court rather than report it. The functionality of the networking of sexual and reproductive health rights services in the event of the occurrence of gender-based violence in the commune of Kpomassè is insufficient. Lack of knowledge of the roles of rights holders (DD) and duty bearers (DO) explains the insufficient functionality of networking. Conclusion: Training of SRHR service agents and community sensitization are essential to improve the functionality of SRHR service networking in the commune of Kpomasse.展开更多
This article investigates the potential impact of manufacturing uncertainty in composite structures here in the form of thickness variation in laminate plies, on the robustness of commonly used Artificial Neural Netwo...This article investigates the potential impact of manufacturing uncertainty in composite structures here in the form of thickness variation in laminate plies, on the robustness of commonly used Artificial Neural Networks (ANN) in Structural Health Monitoring (SHM). Namely, the robustness of an ANN SHM system is assessed through an airfoil case study based on the sensitivity of delamination location and size predictions, when the ANN is imposed to noisy input. In light of the observed poor performance of the original network, even when its architecture was carefully optimized, it had been proposed to weigh the input layer of the ANN by a set of signal-to-noise (SN) ratios and then trained the network. Both damage location and size predictions of the latter SHM approach were increased to above 90%. Practical aspects of the proposed robust SN-ANN SHM have also been discussed.展开更多
The COVID-19 pandemic has exposed vulnerabilities within our healthcare structures. Healthcare facilities are often faced with staff shortages and work overloads, which can have an impact on the collection of health d...The COVID-19 pandemic has exposed vulnerabilities within our healthcare structures. Healthcare facilities are often faced with staff shortages and work overloads, which can have an impact on the collection of health data and constants essential for early diagnosis. In order to minimize the risk of error and optimize data collection, we have developed a robot incorporating artificial intelligence. This robot has been designed to automate and collect health data and constants in a contactless way, while at the same time verifying the conditions for correct measurements, such as the absence of hats and shoes. Furthermore, this health information needs to be transmitted to services for processing. Thus, this article addresses the aspect of reception and collection of health data and constants through various modules: for taking height, temperature and weight, as well as the module for entering patient identification data. The article also deals with orientation, presenting a module for selecting the patient’s destination department. This data is then routed via a wireless network and an application integrated into the doctors’ tablets. This application will enable efficient queue management by classifying patients according to their order of arrival. The system’s infrastructure is easily deployable, taking advantage of the healthcare facility’s local wireless network, and includes encryption mechanisms to reinforce the security of data circulating over the network. In short, this innovative system will offer an autonomous, contactless method for collecting vital constants such as size, mass, and temperature. What’s more, it will facilitate the flow of data, including identification information, across a network, simplifying the implementation of this solution within healthcare facilities.展开更多
文摘Introduction EQUATOR Network provides unique access to collated expertise and resources for good reporting of health research, The resources are aimed at researchers （authors of research articles）, journal editors, peer reviewers, and developers of reporting guidelines,
文摘M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. To this end, the MobiHealthcare system, which provides a personalized healthcare based on body sensor network, is developed. The system includes various body sensors to collect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spatially and temporally collected medical data from different parts of the body for resource optimization and systematic health monitoring, a server cluster with great data storage capacity, powerful analysis capabilities to provide data storage, data mining and visualization. Compared with existing M-Health system, the MobiHealthcare system is characteristics of low coupling and powerful parallel computing capabilities. Various healthcare applications have been implemented in the proposed system to demonstrate its effectiveness in providing a powerful platform.
文摘The Internet has become an important channel for college students to acquire knowledge and information.However,network has a negative effect on their healthy growth.The chord-network alienation arises,which is incoordinated with the rapid development of computer network technology.Based on the analysis of network alienation effect on college students’mental health,this paper put forward the corresponding solution countermeasures from three aspects.
基金Supported by Special Topic of the Ministry of Education about Humanities and Social Sciences of China(No.12JDGC007)International Scientific and Technological Cooperation Projects of China(No.2012DFB10060)
文摘100 pieces of 26650-type Lithium iron phosphate（LiFePO4） batteries cycled with a fixed charge and discharge rate are tested, and the influence of the battery internal resistance and the instantaneous voltage drop at the start of discharge on the state of health（SOH） is discussed. A back propagation（BP） neural network model using additional momentum is built up to estimate the state of health of Li-ion batteries. The additional 10 pieces are used to verify the feasibility of the proposed method. The results show that the neural network prediction model have a higher accuracy and can be embedded into battery management system（BMS） to estimate SOH of LiFePO4 Li-ion batteries.
文摘Abuja is witnessing an upsurge of victims from Road Traffic Crash (RTC) which is mostly due to the attendant rapid increase in the volume of vehicles, traffic jams, bad driving, over speeding, insufficient road signs and bad conditions of vehicles that ply the roads. The problem is compounded by a lack of early emergency response. Geographic Information System (GIS) based travel time model was applied in the street network analysis to identify RTC black spots that are outside the close reach of Federal Road Safety Commission (FRSC) rescue points/health facilities in Federal Capital City (FCC). Five minutes, Ten minutes and Fifteen minutes travel times were used as the impedance factor. Remote Sensing and GIS techniques were used to carry out network analysis. This was achieved by conducting the closest facility operation in the ArcGIS network analyst extension using the time of travel from each FRSC zebra point location to the RTC black spot zones/health facility. The results were presented on road network maps and bar graphs. The areas where quick response and medical facilities are insufficient were identified. It was concluded that the available health centres can sufficiently service RTC black spots in FCC, but the FRSC zebra points are insufficient which renders rescue operations inefficient and thereby exposes RTC victims to more danger. In order to ensure that there is sufficient coverage for response times, it was suggested that additional zebra points be created.
文摘Background: Myanmar’s National Health Plan 2017-2021 set out concrete steps to strengthen the health system on the way to achieving the goal of universal health coverage by 2030. Ensuring these steps include the 7.7 million older adults in Myanmar’s population by 2030 will require novel strategies that improve health and reduce financial burden of health expenditures. An examination of the relationship between social networks and selected health outcomes was undertaken to determine whether these networks can safeguard older adults’ continued contributions to family, society and their own health. Methods: Secondary analysis of a nationally representative study of adults aged 60 years and older. Ordered logistic regression analyses with weighted data were used to examine the relationship between a social network variable and a number of health outcomes. Findings: Stronger social networks were associated with better health outcomes like better memory (OR 1.2), lower reported walking difficulties (OR 0.58), better self-reported health (R 1.15). People with higher social ties were also more like to receive regular assistance and provide care for other household members. Interpretation: Social networks play a role in mediating health outcomes and interactions with the health care systems. Social network interventions should be explored as part of policy mechanisms to ensure universal health coverage for older adults in Myanmar.
文摘Introduction: In developing countries, gender-based violence (GBV) is a real public health problem. In Benin, GBV affects the majority of women and girls (69%). Benin has implemented strategies and set up integrated centers for the management of violence in order to reduce cases of violence and ensure the holistic management of victims. The objective of our study was to assess the functionality of the network of sexual and reproductive health rights (SRHR) in case of GBV in the commune of Kpomasse in 2022. Method: This descriptive and evaluative study was conducted from March 21 to April 11, 2022. The sampling method used was non-probabilistic. Reasoned choice and convenience were the techniques used for the different targets of the study. The functionality of the SRHR service network was assessed first by calculating scores at the structure, process and outcome levels, and then by analysis using the human rights-based approach. Results: Out of the 34 GBV victims identified, only one had received a full response and 54% of the victims had no knowledge of SRHR. The lack of knowledge about health care facilities was 41% for victims and 80% for non-victims in the community who participated in the study. In the case of gender-based violence, the community preferred to settle out of court rather than report it. The functionality of the networking of sexual and reproductive health rights services in the event of the occurrence of gender-based violence in the commune of Kpomassè is insufficient. Lack of knowledge of the roles of rights holders (DD) and duty bearers (DO) explains the insufficient functionality of networking. Conclusion: Training of SRHR service agents and community sensitization are essential to improve the functionality of SRHR service networking in the commune of Kpomasse.
文摘This article investigates the potential impact of manufacturing uncertainty in composite structures here in the form of thickness variation in laminate plies, on the robustness of commonly used Artificial Neural Networks (ANN) in Structural Health Monitoring (SHM). Namely, the robustness of an ANN SHM system is assessed through an airfoil case study based on the sensitivity of delamination location and size predictions, when the ANN is imposed to noisy input. In light of the observed poor performance of the original network, even when its architecture was carefully optimized, it had been proposed to weigh the input layer of the ANN by a set of signal-to-noise (SN) ratios and then trained the network. Both damage location and size predictions of the latter SHM approach were increased to above 90%. Practical aspects of the proposed robust SN-ANN SHM have also been discussed.
文摘The COVID-19 pandemic has exposed vulnerabilities within our healthcare structures. Healthcare facilities are often faced with staff shortages and work overloads, which can have an impact on the collection of health data and constants essential for early diagnosis. In order to minimize the risk of error and optimize data collection, we have developed a robot incorporating artificial intelligence. This robot has been designed to automate and collect health data and constants in a contactless way, while at the same time verifying the conditions for correct measurements, such as the absence of hats and shoes. Furthermore, this health information needs to be transmitted to services for processing. Thus, this article addresses the aspect of reception and collection of health data and constants through various modules: for taking height, temperature and weight, as well as the module for entering patient identification data. The article also deals with orientation, presenting a module for selecting the patient’s destination department. This data is then routed via a wireless network and an application integrated into the doctors’ tablets. This application will enable efficient queue management by classifying patients according to their order of arrival. The system’s infrastructure is easily deployable, taking advantage of the healthcare facility’s local wireless network, and includes encryption mechanisms to reinforce the security of data circulating over the network. In short, this innovative system will offer an autonomous, contactless method for collecting vital constants such as size, mass, and temperature. What’s more, it will facilitate the flow of data, including identification information, across a network, simplifying the implementation of this solution within healthcare facilities.
