<strong>Objective:</strong> Coronavirus disease 2019 (COVID-19) spread throughout the world and caused hundreds of thousands of infected people to death. However, the pathogenesis of severe acute respirato...<strong>Objective:</strong> Coronavirus disease 2019 (COVID-19) spread throughout the world and caused hundreds of thousands of infected people to death. However, the pathogenesis of severe acute respiratory syndrome coronavirus-2 (SARS COV-2) is poorly understood. The objective of this study is to retrospectively explore the pathogenesis of COVID-19 from clinical laboratory findings, taking disease progression into account. <strong>Methods:</strong> A single-centered, retrospective study was carried out, which included moderate (n = 76) and severe COVID-19 cases (n = 22). The difference of laboratory findings from blood routine examination and hepatorenal function test were retrospectively evaluated between the state of moderate and severe. The disease progression was indicated by oxygenation index. <strong>Results: </strong>Age is a risk factor for disease progression from moderate to severe. Lymphocytopenia, neutrophilia, liver and kidney function decreasement occurred in severe patients on admission, compared with moderate patients. Lymphocytopenia and neutrophilia deteriorated at the lowest oxygenation index timepoint in the severe patients. And the oxygenation index was associated with ratio of lymphocyte and neutrophil in COVID-19 patients. <strong>Conclusions:</strong> Lymphocytopenia and neutrophilia, which deteriorate in the progression of severe patients, are the main pathogenesis of COVID-19. More measures need to be taken to control lymphocytopenia and neutrophilia in severe COVID-19. Oxygenation index presented potentiality as predictor on the progression of COVID-19.展开更多
Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as possible.In an MEC environment,servers are deployed closer to mobile termin...Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as possible.In an MEC environment,servers are deployed closer to mobile terminals to exploit storage infrastructure,improve content delivery efficiency,and enhance user experience.However,due to the limited capacity of edge servers,it remains a significant challenge to meet the changing,time-varying,and customized needs for highly diversified content of users.Recently,techniques for caching content at the edge are becoming popular for addressing the above challenges.It is capable of filling the communication gap between the users and content providers while relieving pressure on remote cloud servers.However,existing static caching strategies are still inefficient in handling the dynamics of the time-varying popularity of content and meeting users’demands for highly diversified entity data.To address this challenge,we introduce a novel method for content caching over MEC,i.e.,PRIME.It synthesizes a content popularity prediction model,which takes users’stay time and their request traces as inputs,and a deep reinforcement learning model for yielding dynamic caching schedules.Experimental results demonstrate that PRIME,when tested upon the MovieLens 1M dataset for user request patterns and the Shanghai Telecom dataset for user mobility,outperforms its peers in terms of cache hit rates,transmission latency,and system cost.展开更多
Dear Editor,This letter presents a distributed adaptive second-order latent factor(DAS) model for addressing the issue of high-dimensional and incomplete data representation. Compared with first-order optimizers, a se...Dear Editor,This letter presents a distributed adaptive second-order latent factor(DAS) model for addressing the issue of high-dimensional and incomplete data representation. Compared with first-order optimizers, a second-order optimizer has stronger ability in approaching a better solution when dealing with the non-convex optimization problems, thus obtaining better performance in extracting the latent factors(LFs) well representing the known information from high-dimensional and incomplete data.展开更多
Autophagy plays an important role in the interaction between viruses and host cells.SARS-CoV-2 infection can disrupt the autophagy process in target cells.However,the precise molecular mechanism is still unknown.In th...Autophagy plays an important role in the interaction between viruses and host cells.SARS-CoV-2 infection can disrupt the autophagy process in target cells.However,the precise molecular mechanism is still unknown.In this study,we discovered that the Nsp8 of SARS-CoV-2 could cause an increasing accumulation of autophagosomes by preventing the fusion of autophagosomes and lysosomes.From further investigation,we found that Nsp8 was present on mitochondria and can damage mitochondria to initiate mitophagy.The results of experiments with immunofluorescence revealed that Nsp8 induced incomplete mitophagy.Moreover,both domains of Nsp8 orchestrated their function during Nsp8-induced mitophagy,in which the N-terminal domain colocalized with mitochondria and the C-terminal domain induced auto/mitophagy.This novel finding expands our understanding of the function of Nsp8 in promoting mitochondrial damage and inducing incomplete mitophagy,which helps us to understand the etiology of COVID-19 as well as open up new pathways for creating SARS-CoV-2 treatment methods.展开更多
Electrochemical CO_(2)reduction(ECR)to value-added products is regarded as a sustainable strategy to mitigate global warming and energy crisis,and designing highly efficient and robust catalysts is essential.In this w...Electrochemical CO_(2)reduction(ECR)to value-added products is regarded as a sustainable strategy to mitigate global warming and energy crisis,and designing highly efficient and robust catalysts is essential.In this work,transition metal sulfides(TMS)-decorated CuS microflower-like structures were prepared via the one-pot hydrothermal synthe-sis method for ECR to CO,and the influence of TMS doping on ECR performance was demonstrated.Characterization of the catalysts was performed using XRD,FESEM-EDS,N_(2)physisorption,and XPS,revealing the successful loading of TMS,the formation of microflower-like architectures and the generation of sulfur vacancies.Electrochemical tests demonstrated that doping ZnS,Bi_(2)S_(3),CdS and MoS_(2)improved the intrinsic CO_(2) reduction activity of the CuS catalyst.Particularly,the MoS_(2)-CuS composite catalyst with imperfect petal-like structure showed uniform distribution of edge Mo sites,which worked synergistically with the formed grain boundaries(GBs)and undercoordinated S vacancy sites in promotingCO_(2)activation,stabilizing ^(*)COOH adsorption,facilitating ^(*)CO desorption,and lowering the energy barrier of the potential-limiting step for improved CO selectivity.The MoS_(2)-CuS catalyst achieved a maximum CO selectivity of 83.2%at-0.6 V versus the reversible hydrogen electrode(RHE)and a high CO cathodic energetic effi-ciency of 100%.At this potential,the catalyst maintained stable catalytic activity and CO selectivity during a 333-min electrolysis process.The findings will offer a promising avenue for the development of efficient and stable catalysts for CO production from ECR.展开更多
文摘<strong>Objective:</strong> Coronavirus disease 2019 (COVID-19) spread throughout the world and caused hundreds of thousands of infected people to death. However, the pathogenesis of severe acute respiratory syndrome coronavirus-2 (SARS COV-2) is poorly understood. The objective of this study is to retrospectively explore the pathogenesis of COVID-19 from clinical laboratory findings, taking disease progression into account. <strong>Methods:</strong> A single-centered, retrospective study was carried out, which included moderate (n = 76) and severe COVID-19 cases (n = 22). The difference of laboratory findings from blood routine examination and hepatorenal function test were retrospectively evaluated between the state of moderate and severe. The disease progression was indicated by oxygenation index. <strong>Results: </strong>Age is a risk factor for disease progression from moderate to severe. Lymphocytopenia, neutrophilia, liver and kidney function decreasement occurred in severe patients on admission, compared with moderate patients. Lymphocytopenia and neutrophilia deteriorated at the lowest oxygenation index timepoint in the severe patients. And the oxygenation index was associated with ratio of lymphocyte and neutrophil in COVID-19 patients. <strong>Conclusions:</strong> Lymphocytopenia and neutrophilia, which deteriorate in the progression of severe patients, are the main pathogenesis of COVID-19. More measures need to be taken to control lymphocytopenia and neutrophilia in severe COVID-19. Oxygenation index presented potentiality as predictor on the progression of COVID-19.
文摘Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as possible.In an MEC environment,servers are deployed closer to mobile terminals to exploit storage infrastructure,improve content delivery efficiency,and enhance user experience.However,due to the limited capacity of edge servers,it remains a significant challenge to meet the changing,time-varying,and customized needs for highly diversified content of users.Recently,techniques for caching content at the edge are becoming popular for addressing the above challenges.It is capable of filling the communication gap between the users and content providers while relieving pressure on remote cloud servers.However,existing static caching strategies are still inefficient in handling the dynamics of the time-varying popularity of content and meeting users’demands for highly diversified entity data.To address this challenge,we introduce a novel method for content caching over MEC,i.e.,PRIME.It synthesizes a content popularity prediction model,which takes users’stay time and their request traces as inputs,and a deep reinforcement learning model for yielding dynamic caching schedules.Experimental results demonstrate that PRIME,when tested upon the MovieLens 1M dataset for user request patterns and the Shanghai Telecom dataset for user mobility,outperforms its peers in terms of cache hit rates,transmission latency,and system cost.
基金supported in part by the National Natural Science Foundation of China (62102086, 62272078)the Guangdong Basic and Applied Basic Research Foundation (2022A1515140102, 2021B1515140046)the Guangdong Province Universities and College Pearl River Scholar Funded Scheme (2019)。
文摘Dear Editor,This letter presents a distributed adaptive second-order latent factor(DAS) model for addressing the issue of high-dimensional and incomplete data representation. Compared with first-order optimizers, a second-order optimizer has stronger ability in approaching a better solution when dealing with the non-convex optimization problems, thus obtaining better performance in extracting the latent factors(LFs) well representing the known information from high-dimensional and incomplete data.
基金supported by the National Natural Science Foundation of China (grant numbers 32100131 and 31670716)Wuhan Science and Technology Bureau[grant numbers 2020020601012318]+1 种基金Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine) (grant numbers WDCM2022008)Jianghan University (grant numbers 08190006,06210035,2021yb138 and 2019037).
文摘Autophagy plays an important role in the interaction between viruses and host cells.SARS-CoV-2 infection can disrupt the autophagy process in target cells.However,the precise molecular mechanism is still unknown.In this study,we discovered that the Nsp8 of SARS-CoV-2 could cause an increasing accumulation of autophagosomes by preventing the fusion of autophagosomes and lysosomes.From further investigation,we found that Nsp8 was present on mitochondria and can damage mitochondria to initiate mitophagy.The results of experiments with immunofluorescence revealed that Nsp8 induced incomplete mitophagy.Moreover,both domains of Nsp8 orchestrated their function during Nsp8-induced mitophagy,in which the N-terminal domain colocalized with mitochondria and the C-terminal domain induced auto/mitophagy.This novel finding expands our understanding of the function of Nsp8 in promoting mitochondrial damage and inducing incomplete mitophagy,which helps us to understand the etiology of COVID-19 as well as open up new pathways for creating SARS-CoV-2 treatment methods.
基金Natural Science Research of Jiangsu Higher Education Institutions of China(23KJB470028)National Natural Science Foundation of China(51806108 and 52276120)Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX24_0684).
文摘Electrochemical CO_(2)reduction(ECR)to value-added products is regarded as a sustainable strategy to mitigate global warming and energy crisis,and designing highly efficient and robust catalysts is essential.In this work,transition metal sulfides(TMS)-decorated CuS microflower-like structures were prepared via the one-pot hydrothermal synthe-sis method for ECR to CO,and the influence of TMS doping on ECR performance was demonstrated.Characterization of the catalysts was performed using XRD,FESEM-EDS,N_(2)physisorption,and XPS,revealing the successful loading of TMS,the formation of microflower-like architectures and the generation of sulfur vacancies.Electrochemical tests demonstrated that doping ZnS,Bi_(2)S_(3),CdS and MoS_(2)improved the intrinsic CO_(2) reduction activity of the CuS catalyst.Particularly,the MoS_(2)-CuS composite catalyst with imperfect petal-like structure showed uniform distribution of edge Mo sites,which worked synergistically with the formed grain boundaries(GBs)and undercoordinated S vacancy sites in promotingCO_(2)activation,stabilizing ^(*)COOH adsorption,facilitating ^(*)CO desorption,and lowering the energy barrier of the potential-limiting step for improved CO selectivity.The MoS_(2)-CuS catalyst achieved a maximum CO selectivity of 83.2%at-0.6 V versus the reversible hydrogen electrode(RHE)and a high CO cathodic energetic effi-ciency of 100%.At this potential,the catalyst maintained stable catalytic activity and CO selectivity during a 333-min electrolysis process.The findings will offer a promising avenue for the development of efficient and stable catalysts for CO production from ECR.
