Introduction: The Novel Coronavirus or COVID-19 affected all the megacities of the world and made the mental health and lifestyle of people paralyzed. According to different studies, such difficulties were different i...Introduction: The Novel Coronavirus or COVID-19 affected all the megacities of the world and made the mental health and lifestyle of people paralyzed. According to different studies, such difficulties were different in scale in different cities depending on the demographic attributes of the people. This phenomenon has created the essence of the current study to examine the health conditions in terms of their mental health, lifestyle, and demographic attributes during and immediate past of the COVID-19 era. Method: It was a cross-sectional study covering the people of Dhaka City Corporation. For this purpose, a multistage sampling method was applied, under which the respondents were selected randomly and a self-administered structured questionnaire was used to collect data. The questionnaire was developed based on the DASS 21, as it was suitable to measure the components of mental health in the form of depression, anxiety, and stress. Descriptive analysis and cross-tabulation were applied to find out the association between dependent and independent variables, whereas, a chi-square test was performed to examine the hypothesis. Finally, multivariate analysis was done to find out the risk factors. Three logistic regression models were developed for three dependent variables. Result: The findings of the analysis revealed that the lifestyle of people had severely influenced the components of their mental health conditions during and immediate past of COVID-19 in the Dhaka City Corporation, which varies to some extent depending on the demographic attributes of those. Conclusion: The above findings are statistically significant enough to conclude about the essence of taking preventive measures regarding mental health issues in the future. However, the limitations of this study-keeping it within the urban areas and the educated people, have also created the venue for future researchers to move with their research endeavors in the rural areas nationwide and thus generalize the results.展开更多
针对动态网络环境和交通环境中行车主动服务系统(driving active service system,DASS)的服务质量(quality of service,QoS)波动的问题,提出一种基于动态QoS的DASS选取方法。该方法首先对DASS的评价维度及其QoS波动区间进行建模,并据此...针对动态网络环境和交通环境中行车主动服务系统(driving active service system,DASS)的服务质量(quality of service,QoS)波动的问题,提出一种基于动态QoS的DASS选取方法。该方法首先对DASS的评价维度及其QoS波动区间进行建模,并据此计算候选服务QoS和行车用户需求QoS的相似度。再基于熵值法计算每个行车服务QoS参数的客观权重,并结合行车用户主观偏好得到DASS-QoS参数的综合权重。两者相结合得到每个服务的推荐度并据此对其进行选取。在仿真实验中以实时动态路径规划为例,仿真结果表明:相比于传统的行车信息服务系统,DASS可以在油耗相当的情况下,平均节约9%的时间,而且越早感知拥堵信息,对时间和油耗的节约越明显,充分验证了所提出的服务选取方法的准确性和有效性。这对降低交通拥堵、提升交通效率、加强行车安全及改善驾驶体验有重要意义。展开更多
文摘Introduction: The Novel Coronavirus or COVID-19 affected all the megacities of the world and made the mental health and lifestyle of people paralyzed. According to different studies, such difficulties were different in scale in different cities depending on the demographic attributes of the people. This phenomenon has created the essence of the current study to examine the health conditions in terms of their mental health, lifestyle, and demographic attributes during and immediate past of the COVID-19 era. Method: It was a cross-sectional study covering the people of Dhaka City Corporation. For this purpose, a multistage sampling method was applied, under which the respondents were selected randomly and a self-administered structured questionnaire was used to collect data. The questionnaire was developed based on the DASS 21, as it was suitable to measure the components of mental health in the form of depression, anxiety, and stress. Descriptive analysis and cross-tabulation were applied to find out the association between dependent and independent variables, whereas, a chi-square test was performed to examine the hypothesis. Finally, multivariate analysis was done to find out the risk factors. Three logistic regression models were developed for three dependent variables. Result: The findings of the analysis revealed that the lifestyle of people had severely influenced the components of their mental health conditions during and immediate past of COVID-19 in the Dhaka City Corporation, which varies to some extent depending on the demographic attributes of those. Conclusion: The above findings are statistically significant enough to conclude about the essence of taking preventive measures regarding mental health issues in the future. However, the limitations of this study-keeping it within the urban areas and the educated people, have also created the venue for future researchers to move with their research endeavors in the rural areas nationwide and thus generalize the results.
文摘针对动态网络环境和交通环境中行车主动服务系统(driving active service system,DASS)的服务质量(quality of service,QoS)波动的问题,提出一种基于动态QoS的DASS选取方法。该方法首先对DASS的评价维度及其QoS波动区间进行建模,并据此计算候选服务QoS和行车用户需求QoS的相似度。再基于熵值法计算每个行车服务QoS参数的客观权重,并结合行车用户主观偏好得到DASS-QoS参数的综合权重。两者相结合得到每个服务的推荐度并据此对其进行选取。在仿真实验中以实时动态路径规划为例,仿真结果表明:相比于传统的行车信息服务系统,DASS可以在油耗相当的情况下,平均节约9%的时间,而且越早感知拥堵信息,对时间和油耗的节约越明显,充分验证了所提出的服务选取方法的准确性和有效性。这对降低交通拥堵、提升交通效率、加强行车安全及改善驾驶体验有重要意义。