The Internet of Medical Things(Io MT) is regarded as a critical technology for intelligent healthcare in the foreseeable 6G era. Nevertheless, due to the limited computing power capability of edge devices and task-rel...The Internet of Medical Things(Io MT) is regarded as a critical technology for intelligent healthcare in the foreseeable 6G era. Nevertheless, due to the limited computing power capability of edge devices and task-related coupling relationships, Io MT faces unprecedented challenges. Considering the associative connections among tasks, this paper proposes a computing offloading policy for multiple-user devices(UDs) considering device-to-device(D2D) communication and a multi-access edge computing(MEC)technique under the scenario of Io MT. Specifically,to minimize the total delay and energy consumption concerning the requirement of Io MT, we first analyze and model the detailed local execution, MEC execution, D2D execution, and associated tasks offloading exchange model. Consequently, the associated tasks’ offloading scheme of multi-UDs is formulated as a mixed-integer nonconvex optimization problem. Considering the advantages of deep reinforcement learning(DRL) in processing tasks related to coupling relationships, a Double DQN based associative tasks computing offloading(DDATO) algorithm is then proposed to obtain the optimal solution, which can make the best offloading decision under the condition that tasks of UDs are associative. Furthermore, to reduce the complexity of the DDATO algorithm, the cacheaided procedure is intentionally introduced before the data training process. This avoids redundant offloading and computing procedures concerning tasks that previously have already been cached by other UDs. In addition, we use a dynamic ε-greedy strategy in the action selection section of the algorithm, thus preventing the algorithm from falling into a locally optimal solution. Simulation results demonstrate that compared with other existing methods for associative task models concerning different structures in the Io MT network, the proposed algorithm can lower the total cost more effectively and efficiently while also providing a tradeoff between delay and energy consumption tolerance.展开更多
Introduction: The uncontrolled management of waste electrical and electronic equipment (W3E) causes respiratory problems in the handlers of this waste. The objective was to study the stains associated with respiratory...Introduction: The uncontrolled management of waste electrical and electronic equipment (W3E) causes respiratory problems in the handlers of this waste. The objective was to study the stains associated with respiratory symptoms in W3E handlers. Methods: The study was cross-sectional with an analytical focus on W3E handlers in the informal sector in Ouagadougou. A peer-validated questionnaire collected data on a sample of 161 manipulators. Results: the most common W3E processing tasks were the purchase or sale of W3E (67.70%), its repair (39.75%) and its collection (31.06%). The prevalence of cough was 21.74%, that of wheezing 14.91%, phlegm 12.50% and dyspnea at rest 10.56%. In bivariate analysis, there were significant associations at the 5% level between W3E repair and phlegm (p-value = 0.044), between W3E burning and wheezing (p-value = 0.011) and between W3E and cough (p-value = 0.01). The final logistic regression models suggested that the burning of W3E and the melting of lead batteries represented risk factors for the occurrence of cough with respective prevalence ratios of 4.57 and 4.63. Conclusion: raising awareness on the wearing of personal protective equipment, in particular masks adapted by W3E handlers, favoring those who are dedicated to the burning of electronic waste and the melting of lead could make it possible to reduce the risk of occurrence of respiratory symptoms.展开更多
Eichenbaum and colleagues observed that the same place did or did not activate the "goal-approach" cells in hippocampus depending on whether the place was the way for rats to approach specific goal. Parallel...Eichenbaum and colleagues observed that the same place did or did not activate the "goal-approach" cells in hippocampus depending on whether the place was the way for rats to approach specific goal. Parallel with this, the present neuroimage study revealed that, the same type of items could activate the hippocampus more when it was related to the task at hand than when it not. Participants were scanned by fMRI while they made judgments on the type of relationships contained in the word-pairs (e.g., Does the word pair, "furniture-table", contain a "category-exemplar" relationship?). Event-related analysis revealed that the forming of "task-related" association activated hippocampus more than that of "task-unrelated", even if it was the same type of items, and, this hippocampal difference was not caused by the different judgment requirements, nor by the effects of "yes" response. Consistently, the post-judgment cued-recall test exhibited a better retrieval performance for "task-related" associations than for the same type but "task-unrelated" associations. Results also showed that, the semantic re- latedness between the to-be-associated individual words (e.g., the related word pair "healthy-hospital" versus the unrelated word pair "price-way") was not enough to activate the hippocampus when it was "task-unrelated". Generally, we proposed that, through participating in forming of "task-related" asso- ciations and consolidating of episodic memory, hippocampus enabled the organism to keep the in- formation that owned great survival values in mind for future usage.展开更多
研究探讨内隐联想测验(Implicit Association Test,IAT)和Go/No-go联想任务测验(Go/No-go AssociationTask,GNAT)测量大学生感恩的可行性,并分析内隐感恩与外显感恩的关系。预备性研究从现代汉语字典中挑选自我词/他人词各16个,从汉语...研究探讨内隐联想测验(Implicit Association Test,IAT)和Go/No-go联想任务测验(Go/No-go AssociationTask,GNAT)测量大学生感恩的可行性,并分析内隐感恩与外显感恩的关系。预备性研究从现代汉语字典中挑选自我词/他人词各16个,从汉语成语大辞典中挑选出与感恩相关的积极词/消极词各20个,根据65位大学生的评定结果筛选出自我词/他人词各8个,积极词/消极词各8个,用于正式研究。正式研究采用IAT、GNAT感恩测量程序和青少年感恩量表(Adolescent Gratitude Scale,AGS),对155名大学生同时进行IAT、GNAT及外显感恩的测量。结果发现:(1)大学生普遍具有积极的内隐感恩,内隐感恩不存在性别、生源地和独生与否等人口统计学指标上的显著差异;(2)大学生的内隐感恩与外显感恩相关不显著,是两个不同的建构;(3)采用IAT和GNAT研究感恩是可行的。展开更多
制造网格任务分解能大大降低制造任务执行过程中的信息交互复杂度和约束关系,提高制造网格协同工作的效率,从而保证服务质量(Quality of Service,QoS)。弱耦合原则是制造网格任务分解时的关键准则。根据制造任务之间的"弱耦合"...制造网格任务分解能大大降低制造任务执行过程中的信息交互复杂度和约束关系,提高制造网格协同工作的效率,从而保证服务质量(Quality of Service,QoS)。弱耦合原则是制造网格任务分解时的关键准则。根据制造任务之间的"弱耦合"要求,即要求分解后的子任务(活动)间的相关度较小(弱耦合),提出了一种基于模块化的任务分解策略,分析了模块化分解的可行性和分解过程,并建立了分解模型,提出了一种制造网格子任务(活动)间相关度判定的方法,并通过一个实例说明了任务分解相关度的判定方法。展开更多
基金supported by National Natural Science Foundation of China(Grant No.62071377,62101442,62201456)Natural Science Foundation of Shaanxi Province(Grant No.2023-YBGY-036,2022JQ-687)The Graduate Student Innovation Foundation Project of Xi’an University of Posts and Telecommunications under Grant CXJJDL2022003.
文摘The Internet of Medical Things(Io MT) is regarded as a critical technology for intelligent healthcare in the foreseeable 6G era. Nevertheless, due to the limited computing power capability of edge devices and task-related coupling relationships, Io MT faces unprecedented challenges. Considering the associative connections among tasks, this paper proposes a computing offloading policy for multiple-user devices(UDs) considering device-to-device(D2D) communication and a multi-access edge computing(MEC)technique under the scenario of Io MT. Specifically,to minimize the total delay and energy consumption concerning the requirement of Io MT, we first analyze and model the detailed local execution, MEC execution, D2D execution, and associated tasks offloading exchange model. Consequently, the associated tasks’ offloading scheme of multi-UDs is formulated as a mixed-integer nonconvex optimization problem. Considering the advantages of deep reinforcement learning(DRL) in processing tasks related to coupling relationships, a Double DQN based associative tasks computing offloading(DDATO) algorithm is then proposed to obtain the optimal solution, which can make the best offloading decision under the condition that tasks of UDs are associative. Furthermore, to reduce the complexity of the DDATO algorithm, the cacheaided procedure is intentionally introduced before the data training process. This avoids redundant offloading and computing procedures concerning tasks that previously have already been cached by other UDs. In addition, we use a dynamic ε-greedy strategy in the action selection section of the algorithm, thus preventing the algorithm from falling into a locally optimal solution. Simulation results demonstrate that compared with other existing methods for associative task models concerning different structures in the Io MT network, the proposed algorithm can lower the total cost more effectively and efficiently while also providing a tradeoff between delay and energy consumption tolerance.
文摘Introduction: The uncontrolled management of waste electrical and electronic equipment (W3E) causes respiratory problems in the handlers of this waste. The objective was to study the stains associated with respiratory symptoms in W3E handlers. Methods: The study was cross-sectional with an analytical focus on W3E handlers in the informal sector in Ouagadougou. A peer-validated questionnaire collected data on a sample of 161 manipulators. Results: the most common W3E processing tasks were the purchase or sale of W3E (67.70%), its repair (39.75%) and its collection (31.06%). The prevalence of cough was 21.74%, that of wheezing 14.91%, phlegm 12.50% and dyspnea at rest 10.56%. In bivariate analysis, there were significant associations at the 5% level between W3E repair and phlegm (p-value = 0.044), between W3E burning and wheezing (p-value = 0.011) and between W3E and cough (p-value = 0.01). The final logistic regression models suggested that the burning of W3E and the melting of lead batteries represented risk factors for the occurrence of cough with respective prevalence ratios of 4.57 and 4.63. Conclusion: raising awareness on the wearing of personal protective equipment, in particular masks adapted by W3E handlers, favoring those who are dedicated to the burning of electronic waste and the melting of lead could make it possible to reduce the risk of occurrence of respiratory symptoms.
基金the National Natural Science Foundation of China (Grant No. 30770708) National High Technology Research and Development Program of China (Grant No. 2006AA02Z431) Knowledge Innovation Project of the Chinese Academy of Sciences (Grant No. KSCX2-YW-R-28)
文摘Eichenbaum and colleagues observed that the same place did or did not activate the "goal-approach" cells in hippocampus depending on whether the place was the way for rats to approach specific goal. Parallel with this, the present neuroimage study revealed that, the same type of items could activate the hippocampus more when it was related to the task at hand than when it not. Participants were scanned by fMRI while they made judgments on the type of relationships contained in the word-pairs (e.g., Does the word pair, "furniture-table", contain a "category-exemplar" relationship?). Event-related analysis revealed that the forming of "task-related" association activated hippocampus more than that of "task-unrelated", even if it was the same type of items, and, this hippocampal difference was not caused by the different judgment requirements, nor by the effects of "yes" response. Consistently, the post-judgment cued-recall test exhibited a better retrieval performance for "task-related" associations than for the same type but "task-unrelated" associations. Results also showed that, the semantic re- latedness between the to-be-associated individual words (e.g., the related word pair "healthy-hospital" versus the unrelated word pair "price-way") was not enough to activate the hippocampus when it was "task-unrelated". Generally, we proposed that, through participating in forming of "task-related" asso- ciations and consolidating of episodic memory, hippocampus enabled the organism to keep the in- formation that owned great survival values in mind for future usage.
文摘制造网格任务分解能大大降低制造任务执行过程中的信息交互复杂度和约束关系,提高制造网格协同工作的效率,从而保证服务质量(Quality of Service,QoS)。弱耦合原则是制造网格任务分解时的关键准则。根据制造任务之间的"弱耦合"要求,即要求分解后的子任务(活动)间的相关度较小(弱耦合),提出了一种基于模块化的任务分解策略,分析了模块化分解的可行性和分解过程,并建立了分解模型,提出了一种制造网格子任务(活动)间相关度判定的方法,并通过一个实例说明了任务分解相关度的判定方法。
