Vehicular Edge Computing(VEC)enhances the quality of user services by deploying wealth of resources near vehicles.However,due to highly dynamic and complex nature of vehicular networks,centralized decisionmaking for r...Vehicular Edge Computing(VEC)enhances the quality of user services by deploying wealth of resources near vehicles.However,due to highly dynamic and complex nature of vehicular networks,centralized decisionmaking for resource allocation proves inadequate within VECs.Conversely,allocating resources via distributed decision-making consumes vehicular resources.To improve the quality of user service,we formulate a problem of latency minimization,further subdividing this problem into two subproblems to be solved through distributed decision-making.To mitigate the resource consumption caused by distributed decision-making,we propose Reinforcement Learning(RL)algorithm based on sequential alternating multi-agent system mechanism,which effectively reduces the dimensionality of action space without losing the informational content of action,achieving network lightweighting.We discuss the rationality,generalizability,and inherent advantages of proposed mechanism.Simulation results indicate that our proposed mechanism outperforms traditional RL algorithms in terms of stability,generalizability,and adaptability to scenarios with invalid actions,all while achieving network lightweighting.展开更多
In a hollow-core fiber(HCF),light propagates through an air/vacuum core rather than a solid material,resulting in a low thermo-optic coefficient and ability to handle high powers.Here,we demonstrate a laser locked to ...In a hollow-core fiber(HCF),light propagates through an air/vacuum core rather than a solid material,resulting in a low thermo-optic coefficient and ability to handle high powers.Here,we demonstrate a laser locked to a hollow-core fiber reference,which thanks to the low HCF thermal sensitivity,shows long-term stability an order of magnitude better than compact commercially available low-noise lasers.The laser frequency variation within±600 kHz was measured over 50 h.The stability of our proof-of-concept laser is ensured via a strong selfinjection ratio of-15 dB,enabled by the high-power handling and low loss of the hollow-core fiber's resonator.Moreover,our results show appealing performance parameters,including a fractional frequency stability of4×10^(-13)at 1 s averaging time and a Lorentzian component of the linewidth of 0.2 Hz.展开更多
The cell identity of malignant cells and how they acquire it are fundamental for our understanding of cancer.Here,we report that esophageal squamous cell carcinoma(ESCC)cells display molecular features equally similar...The cell identity of malignant cells and how they acquire it are fundamental for our understanding of cancer.Here,we report that esophageal squamous cell carcinoma(ESCC)cells display molecular features equally similar but distinct to all three types of normal esophageal epithelial cells,which we term as confused cell identity(CCI).CCI is an independent prognostic marker associated with poor prognosis in ESCC.Further,we identify tropomyosin 4(TPM4)as a critical CCI gene that promotes the aggressiveness of ESCC in vitro and in vivo.And TPM4 creates CCI through activating the Jak/STAT-SOX2 pathway.Thus,our study suggests an unrecognized feature of ESCC cells,which might be of value for clinic prognosis and potential interference.展开更多
For coronavirus disease 2019(COVID-19),caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),15–30%of patients are likely to develop COVID-19-related acute respiratory distress syndrome(ARDS).There ar...For coronavirus disease 2019(COVID-19),caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),15–30%of patients are likely to develop COVID-19-related acute respiratory distress syndrome(ARDS).There are still few effective and well-understood therapies available.Novel variants and short-lasting immunity are posing challenges to vaccine efficacy,so finding antiviral and antiinflammatory treatments remains crucial.Here,tripterin(TP),a traditional Chinese medicine,was encapsulated into liposome(TP lipo)to investigate its antiviral and antiinflammatory effects in severe COVID-19.By using two severe COVID-19 models in human ACE2-transgenic(hACE2)mice,an analysis of TP lipo’s effects on pulmonary immune responses was conducted.Pulmonary pathological alterations and viral burden were reduced by TP lipo treatment.TP lipo inhibits SARS-CoV-2 replication and hyperinflammation in infected cells and mice,two crucial events in severe COVID-19 pathophysiology,it is a promising drug candidate to treat SARS-CoV-2-induced ARDS.展开更多
基金supported by the National Natural Science Foundation of China(62271096,U20A20157)Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202000626)+4 种基金Natural Science Foundation of Chongqing,China(cstc2020jcyjzdxmX0024)University Innovation Research Group of Chongqing(CXQT20017)Youth Innovation Group Support Program of ICE Discipline of CQUPT(SCIE-QN-2022-04)Chongqing Postdoctoral Science Special Foundation(2021XM3058)Chongqing Postgraduate Research and Innovation Project under grant(CYB22250).
文摘Vehicular Edge Computing(VEC)enhances the quality of user services by deploying wealth of resources near vehicles.However,due to highly dynamic and complex nature of vehicular networks,centralized decisionmaking for resource allocation proves inadequate within VECs.Conversely,allocating resources via distributed decision-making consumes vehicular resources.To improve the quality of user service,we formulate a problem of latency minimization,further subdividing this problem into two subproblems to be solved through distributed decision-making.To mitigate the resource consumption caused by distributed decision-making,we propose Reinforcement Learning(RL)algorithm based on sequential alternating multi-agent system mechanism,which effectively reduces the dimensionality of action space without losing the informational content of action,achieving network lightweighting.We discuss the rationality,generalizability,and inherent advantages of proposed mechanism.Simulation results indicate that our proposed mechanism outperforms traditional RL algorithms in terms of stability,generalizability,and adaptability to scenarios with invalid actions,all while achieving network lightweighting.
基金Engineering and Physical Sciences Research Council(EP/P030181/1)VACUUM(EP/W037440/1)Technology Agency of the Czech Republic(FW03010171)。
文摘In a hollow-core fiber(HCF),light propagates through an air/vacuum core rather than a solid material,resulting in a low thermo-optic coefficient and ability to handle high powers.Here,we demonstrate a laser locked to a hollow-core fiber reference,which thanks to the low HCF thermal sensitivity,shows long-term stability an order of magnitude better than compact commercially available low-noise lasers.The laser frequency variation within±600 kHz was measured over 50 h.The stability of our proof-of-concept laser is ensured via a strong selfinjection ratio of-15 dB,enabled by the high-power handling and low loss of the hollow-core fiber's resonator.Moreover,our results show appealing performance parameters,including a fractional frequency stability of4×10^(-13)at 1 s averaging time and a Lorentzian component of the linewidth of 0.2 Hz.
基金We thank the members of the CC-LY laboratory for their technical support and suggestions,and the Core Facilities of West China Hospital.This work was supported by the National Key R&D Program of China(2017YFA0505600)the National Natural Science Foundation of China(81522003,82170171,81770157,and 82003156)+1 种基金the Sichuan Science and Technology Program(2020YFQ0059,2018JZ0077,2017TJPT0005,2022YFS0171 and 2022YFS0205)1.3.5.Project for Disciplines of Excellence,West China Hospital,Sichuan University,and the innovation initiative of Sichuan University,Grant no.2018SCUH0060.We thank the Chengdu OrganoidMed Medical Laboratory for their technical support.We also thank BioRender(biorender.com)for providing items for drawing scheme graphs.
文摘The cell identity of malignant cells and how they acquire it are fundamental for our understanding of cancer.Here,we report that esophageal squamous cell carcinoma(ESCC)cells display molecular features equally similar but distinct to all three types of normal esophageal epithelial cells,which we term as confused cell identity(CCI).CCI is an independent prognostic marker associated with poor prognosis in ESCC.Further,we identify tropomyosin 4(TPM4)as a critical CCI gene that promotes the aggressiveness of ESCC in vitro and in vivo.And TPM4 creates CCI through activating the Jak/STAT-SOX2 pathway.Thus,our study suggests an unrecognized feature of ESCC cells,which might be of value for clinic prognosis and potential interference.
基金supported by the National Science Foundation for Excellent Young Scholars(No.32122052)the National Natural Science Foundation Regional Innovation and Development(No.U19A2003).
文摘For coronavirus disease 2019(COVID-19),caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),15–30%of patients are likely to develop COVID-19-related acute respiratory distress syndrome(ARDS).There are still few effective and well-understood therapies available.Novel variants and short-lasting immunity are posing challenges to vaccine efficacy,so finding antiviral and antiinflammatory treatments remains crucial.Here,tripterin(TP),a traditional Chinese medicine,was encapsulated into liposome(TP lipo)to investigate its antiviral and antiinflammatory effects in severe COVID-19.By using two severe COVID-19 models in human ACE2-transgenic(hACE2)mice,an analysis of TP lipo’s effects on pulmonary immune responses was conducted.Pulmonary pathological alterations and viral burden were reduced by TP lipo treatment.TP lipo inhibits SARS-CoV-2 replication and hyperinflammation in infected cells and mice,two crucial events in severe COVID-19 pathophysiology,it is a promising drug candidate to treat SARS-CoV-2-induced ARDS.
