Li-rich manganese-based materials are considered to be the mainstream cathode materials for next-generation lithium-ion batteries due to high discharge capacity and low cost,but poor cycle life and high temperature pe...Li-rich manganese-based materials are considered to be the mainstream cathode materials for next-generation lithium-ion batteries due to high discharge capacity and low cost,but poor cycle life and high temperature performance limit their development.Herein,LiZr_(2)(PO_(4))_(3)(LZPO)is coated on the surface of spherical Li_(1.2)Mn_(0.54)Ni_(0.13)Co_(0.13)O_(2)(LMNCO)material by a simple wet chemical method.The LZPO layer not only has the function of traditional coating layer to inhibit the occurrence of side reactions between electrolyte and LMNCO surface but also promotes the formation of spinel phase in the layered structure,increases the content of lattice oxygen,and reduces the content of absorbed oxygen.Thus,LZPO coated LMNCO has a more stable layered structure during cycling compared pure LMNCO,which improves effectively its long life and high temperature performance.The capacity loss rate of LZPO coated LMNCO is only 16.2%and 11.9%after 350 cycles at 25℃and 200 cycles at 50℃,respectively.Moreover,the capacity retention rate of the full cell composed of LZPO coated LMNCO and graphite is 70.7%after 200 cycles at 1.0 C.The coating layer toward stable surface structure can provide an idea for the modification of cathode materials,especially for Li-rich manganese-based materials.展开更多
Transformers,the dominant architecture for natural language processing,have also recently attracted much attention from computational visual media researchers due to their capacity for long-range representation and hi...Transformers,the dominant architecture for natural language processing,have also recently attracted much attention from computational visual media researchers due to their capacity for long-range representation and high performance.Transformers are sequence-to-sequence models,which use a selfattention mechanism rather than the RNN sequential structure.Thus,such models can be trained in parallel and can represent global information.This study comprehensively surveys recent visual transformer works.We categorize them according to task scenario:backbone design,high-level vision,low-level vision and generation,and multimodal learning.Their key ideas are also analyzed.Differing from previous surveys,we mainly focus on visual transformer methods in low-level vision and generation.The latest works on backbone design are also reviewed in detail.For ease of understanding,we precisely describe the main contributions of the latest works in the form of tables.As well as giving quantitative comparisons,we also present image results for low-level vision and generation tasks.Computational costs and source code links for various important works are also given in this survey to assist further development.展开更多
Object detection is widely used in object tracking;anchor-free object tracking provides an end-to-end single-object-tracking approach.In this study,we propose a new anchor-free network,the Siamese center-prediction ne...Object detection is widely used in object tracking;anchor-free object tracking provides an end-to-end single-object-tracking approach.In this study,we propose a new anchor-free network,the Siamese center-prediction network(SiamCPN).Given the presence of referenced object features in the initial frame,we directly predict the center point and size of the object in subsequent frames in a Siamese-structure network without the need for perframe post-processing operations.Unlike other anchor-free tracking approaches that are based on semantic segmentation and achieve anchor-free tracking by pixel-level prediction,SiamCPN directly obtains all information required for tracking,greatly simplifying the model.A center-prediction sub-network is applied to multiple stages of the backbone to adaptively learn from the experience of different branches of the Siamese net.The model can accurately predict object location,implement appropriate corrections,and regress the size of the target bounding box.Compared to other leading Siamese networks,SiamCPN is simpler,faster,and more efficient as it uses fewer hyperparameters.Experiments demonstrate that our method outperforms other leading Siamese networks on GOT-10K and UAV123 benchmarks,and is comparable to other excellent trackers on LaSOT,VOT2016,and OTB-100 while improving inference speed 1.5 to 2 times.展开更多
The benefits and harms of corticosteroids for patients with severe coronavirus disease 2019(COVID-19)remain unclear.We systematically searched PubMed,Embase,and Cochrane Central Register of Controlled Trials from Dece...The benefits and harms of corticosteroids for patients with severe coronavirus disease 2019(COVID-19)remain unclear.We systematically searched PubMed,Embase,and Cochrane Central Register of Controlled Trials from December 31,2019 to October 1,2020 to identify randomized controlled trials(RCTs)that evaluated corticosteroids in severe COVID-19 patients.The primary outcome was all-cause mortality at the longest follow-up.Secondary outcomes included a composite disease progression(progression to intubation,ventilation,extracorporeal membrane oxygenation,ICU transfer,or death among those not ventilated at enrollment)and incidence of serious adverse events.A random-effects model was applied to calculate risk ratio(RR)with 95%confidence intervals(Cis).We used the Grading of Recommendations Assessment,Development,and Evaluation approach to evaluate the certainty of the evidence.Seven RCTs involving 6250 patients were included,of which the Randomized Evaluation of COVID-19 Therapy(RECOVERY)trial comprised nearly 78%of all included subjects.Results showed that corticosteroids were associated with a decreased all-cause mortality(27.3 vs.31.1%;RR:0.85;95%CI:0.73-0.99;P=0.04;low-certainty evidence).Trial sequential analysis suggested that more trials were still required to confirm the results.However,such survival benefit was absent if RECOVERY trial was excluded(RR:0.83;95%CI:0.65-1.06;P=0.13).Furthermore,corticosteroids decreased the occurrence of composite disease progression(30.6 vs.33.3%;RR:0.77;95%CI:0.64-0.92;P=0.005),but not increased the incidence of serious'adverse events(3.5 vs.3.4%;RR:1.16;95%CI:0.39-3.43;P=0.79).展开更多
The development of social networking services(SNSs)revealed a surge in image sharing.The sharing mode of multi-page photo collage(MPC),which posts several image collages at a time,can often be observed on many social ...The development of social networking services(SNSs)revealed a surge in image sharing.The sharing mode of multi-page photo collage(MPC),which posts several image collages at a time,can often be observed on many social network platforms,which enables uploading images and arrangement in a logical order.This study focuses on the construction of MPC for an image collection and its formulation as an issue of joint optimization,which involves not only the arrangement in a single collage but also the arrangement among different collages.Novel balance-aware measurements,which merge graphic features and psychological achievements,are introduced.Non-dominated sorting genetic algorithm is adopted to optimize the MPC guided by the measurements.Experiments demonstrate that the proposed method can lead to diverse,visually pleasant,and logically clear MPC results,which are comparable to manually designed MPC results.展开更多
The advance of the Internet in the past decade has radically changed the way people communicate and col- laborate with each other. Physical distance is no more a barrier in online social networks, but cultural differe...The advance of the Internet in the past decade has radically changed the way people communicate and col- laborate with each other. Physical distance is no more a barrier in online social networks, but cultural differences （at the individual, community, as well as societal levels） still govern human-human interactions and must be con- sidered and leveraged in the online world. The rapid deployment of high-speed lnternet allows humans to interact using a rich set of multimedia data such as texts, pictures, and videos. This position paper proposes to define a new research area called ＇connected multimedia＇, which is the study of a collection of research issues of the super-area social media that receive little attention in the literature. By connected multimedia, we mean the study of the social and technical interactions among users, multimedia data, and devices across cultures and explicitly exploiting the cultural differences. We justify why it is necessary to bring attention to this new research area and what benefits of this new research area may bring to the broader scientific research community and the humanity.展开更多
文摘目的:观察核仁磷酸蛋白(nucleophosmin 1,NPM1)A型突变体过表达对TGF-β1诱导的K562细胞增殖及AKT磷酸化的影响。方法:腺病毒载体(Ad5-NPM1)转染髓系白血病K562细胞建立过表达NPM1蛋白细胞株;应用Western blot法及ELISA法分别检测细胞NPM1蛋白表达及上清液含量,Westernblot法检测K562细胞NPM1、AKT和P-AKT蛋白表达,MTT法检测细胞增殖。结果:K562细胞NPM1蛋白表达水平呈Ad5-NPM1转染复数[(multiplicity of infection,MOI):30-200]依赖性增加,与空载组(Ad5-vector-100)相比,Ad5-NPM1-30、Ad5-NPM1-100组K562细胞及细胞上清液NPM1蛋白水平均显著增高(P<0.01)。TGF-β1(10ng/mL)能够诱导K562细胞AKT蛋白磷酸化,但对总AKT水平无明显影响。TGF-β1(10ng/mL)+Ad5-NPM1-100组K562细胞P-AKT水平显著高于TGF-β1处理组(P<0.05),各组总AKT水平无显著差别(P>0.05)。与空白对照组(CT)相比,TGF-β1(10ng/mL)处理可促进K562细胞增殖;但TGF-β1(10ng/mL)+Ad5-NPM1-100组细胞的增殖水平明显高于TGF-β1处理组(P<0.01)。结论:NPM1可促进TGF-β1诱导的K562细胞增殖。NPM1促进TGF-β1诱导的K562细胞可能与AKT磷酸化有关。
基金support from the Key Project of Science and Technology Research of Chongqing Education Commission of China(No.KJZDK201801103)the Venture&Innovation Support Program for Chongqing Overseas Returnees(No.cx2019128)Scientific Research Foundation of Chongqing University of Technology(No.2022ZDZ004).
文摘Li-rich manganese-based materials are considered to be the mainstream cathode materials for next-generation lithium-ion batteries due to high discharge capacity and low cost,but poor cycle life and high temperature performance limit their development.Herein,LiZr_(2)(PO_(4))_(3)(LZPO)is coated on the surface of spherical Li_(1.2)Mn_(0.54)Ni_(0.13)Co_(0.13)O_(2)(LMNCO)material by a simple wet chemical method.The LZPO layer not only has the function of traditional coating layer to inhibit the occurrence of side reactions between electrolyte and LMNCO surface but also promotes the formation of spinel phase in the layered structure,increases the content of lattice oxygen,and reduces the content of absorbed oxygen.Thus,LZPO coated LMNCO has a more stable layered structure during cycling compared pure LMNCO,which improves effectively its long life and high temperature performance.The capacity loss rate of LZPO coated LMNCO is only 16.2%and 11.9%after 350 cycles at 25℃and 200 cycles at 50℃,respectively.Moreover,the capacity retention rate of the full cell composed of LZPO coated LMNCO and graphite is 70.7%after 200 cycles at 1.0 C.The coating layer toward stable surface structure can provide an idea for the modification of cathode materials,especially for Li-rich manganese-based materials.
基金supported by National Key R&D Program of China under Grant No.2020AAA0106200National Natural Science Foundation of China under Grant Nos.61832016 and U20B2070.
文摘Transformers,the dominant architecture for natural language processing,have also recently attracted much attention from computational visual media researchers due to their capacity for long-range representation and high performance.Transformers are sequence-to-sequence models,which use a selfattention mechanism rather than the RNN sequential structure.Thus,such models can be trained in parallel and can represent global information.This study comprehensively surveys recent visual transformer works.We categorize them according to task scenario:backbone design,high-level vision,low-level vision and generation,and multimodal learning.Their key ideas are also analyzed.Differing from previous surveys,we mainly focus on visual transformer methods in low-level vision and generation.The latest works on backbone design are also reviewed in detail.For ease of understanding,we precisely describe the main contributions of the latest works in the form of tables.As well as giving quantitative comparisons,we also present image results for low-level vision and generation tasks.Computational costs and source code links for various important works are also given in this survey to assist further development.
基金supported by the National Key R&D Program of China(Grant No.2018YFC0807500)the National Natural Science Foundation of China(Grant Nos.U20B2070 and 61832016).
文摘Object detection is widely used in object tracking;anchor-free object tracking provides an end-to-end single-object-tracking approach.In this study,we propose a new anchor-free network,the Siamese center-prediction network(SiamCPN).Given the presence of referenced object features in the initial frame,we directly predict the center point and size of the object in subsequent frames in a Siamese-structure network without the need for perframe post-processing operations.Unlike other anchor-free tracking approaches that are based on semantic segmentation and achieve anchor-free tracking by pixel-level prediction,SiamCPN directly obtains all information required for tracking,greatly simplifying the model.A center-prediction sub-network is applied to multiple stages of the backbone to adaptively learn from the experience of different branches of the Siamese net.The model can accurately predict object location,implement appropriate corrections,and regress the size of the target bounding box.Compared to other leading Siamese networks,SiamCPN is simpler,faster,and more efficient as it uses fewer hyperparameters.Experiments demonstrate that our method outperforms other leading Siamese networks on GOT-10K and UAV123 benchmarks,and is comparable to other excellent trackers on LaSOT,VOT2016,and OTB-100 while improving inference speed 1.5 to 2 times.
基金supported by grants from the National Natural Science Foundation of China(81600960 and 81971045).
文摘The benefits and harms of corticosteroids for patients with severe coronavirus disease 2019(COVID-19)remain unclear.We systematically searched PubMed,Embase,and Cochrane Central Register of Controlled Trials from December 31,2019 to October 1,2020 to identify randomized controlled trials(RCTs)that evaluated corticosteroids in severe COVID-19 patients.The primary outcome was all-cause mortality at the longest follow-up.Secondary outcomes included a composite disease progression(progression to intubation,ventilation,extracorporeal membrane oxygenation,ICU transfer,or death among those not ventilated at enrollment)and incidence of serious adverse events.A random-effects model was applied to calculate risk ratio(RR)with 95%confidence intervals(Cis).We used the Grading of Recommendations Assessment,Development,and Evaluation approach to evaluate the certainty of the evidence.Seven RCTs involving 6250 patients were included,of which the Randomized Evaluation of COVID-19 Therapy(RECOVERY)trial comprised nearly 78%of all included subjects.Results showed that corticosteroids were associated with a decreased all-cause mortality(27.3 vs.31.1%;RR:0.85;95%CI:0.73-0.99;P=0.04;low-certainty evidence).Trial sequential analysis suggested that more trials were still required to confirm the results.However,such survival benefit was absent if RECOVERY trial was excluded(RR:0.83;95%CI:0.65-1.06;P=0.13).Furthermore,corticosteroids decreased the occurrence of composite disease progression(30.6 vs.33.3%;RR:0.77;95%CI:0.64-0.92;P=0.005),but not increased the incidence of serious'adverse events(3.5 vs.3.4%;RR:1.16;95%CI:0.39-3.43;P=0.79).
基金supported by National Key R&D Program of China under No.2020AAA0106200,and by National Natural Science Foundation of China under Nos.61832016 and U20B2070.
文摘The development of social networking services(SNSs)revealed a surge in image sharing.The sharing mode of multi-page photo collage(MPC),which posts several image collages at a time,can often be observed on many social network platforms,which enables uploading images and arrangement in a logical order.This study focuses on the construction of MPC for an image collection and its formulation as an issue of joint optimization,which involves not only the arrangement in a single collage but also the arrangement among different collages.Novel balance-aware measurements,which merge graphic features and psychological achievements,are introduced.Non-dominated sorting genetic algorithm is adopted to optimize the MPC guided by the measurements.Experiments demonstrate that the proposed method can lead to diverse,visually pleasant,and logically clear MPC results,which are comparable to manually designed MPC results.
基金supported in part by US National Science Foundation through grant IIS-0956924College of Computer Science and Technology of Zhejiang University, China+2 种基金The follow-up workshop in 2010 held in Florence was supported in part by ACM and Microsoft ResearchZhongfei ZHANG is also supported in part by the National Basic ResearchProgram of China (No. 2012CB316400)ZJU-Alibaba Financial Joint Lab, Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, and US NSF (Nos. IIS-0812114 and CCF-1017828)
文摘The advance of the Internet in the past decade has radically changed the way people communicate and col- laborate with each other. Physical distance is no more a barrier in online social networks, but cultural differences （at the individual, community, as well as societal levels） still govern human-human interactions and must be con- sidered and leveraged in the online world. The rapid deployment of high-speed lnternet allows humans to interact using a rich set of multimedia data such as texts, pictures, and videos. This position paper proposes to define a new research area called ＇connected multimedia＇, which is the study of a collection of research issues of the super-area social media that receive little attention in the literature. By connected multimedia, we mean the study of the social and technical interactions among users, multimedia data, and devices across cultures and explicitly exploiting the cultural differences. We justify why it is necessary to bring attention to this new research area and what benefits of this new research area may bring to the broader scientific research community and the humanity.
