Due to the small size,active mobility,and intrinsic softness,miniature soft robots hold promising po-tentials in reaching the deep region inside living bodies otherwise inaccessible with compelling agility,adaptabilit...Due to the small size,active mobility,and intrinsic softness,miniature soft robots hold promising po-tentials in reaching the deep region inside living bodies otherwise inaccessible with compelling agility,adaptability and safety.Various materials and actuation strategies have been developed for creating soft robots,among which,ferromagnetic soft materials that self-actuate in response to external magnetic fields have attracted worldwide attention due to their remote controllability and excellent compatibil-ity with biological tissues.This review presents comprehensive and systematic research advancements in the design,fabrication,and applications of ferromagnetic soft materials for miniature robots,providing in-sights into their potential use in biomedical fields and beyond.The programming strategies of ferromag-netic soft materials are summarized and classified,including mold-assisted programming,3D printing-assisted programming,microassembly-assisted programming,and magnetization reprogramming.Each approach possesses unique advantages in manipulating the magnetic responsiveness of ferromagnetic soft materials to achieve outstanding actuation and deformation performances.We then discuss the biomedi-cal applications of ferromagnetic soft material-based soft robots(e.g.,minimally invasive surgery,targeted delivery,and tissue engineering),highlighting their potentials in revolutionizing biomedical technologies.This review also points out the current challenges and provides insights into future research directions,which we hope can serve as a useful reference for the development of next-generation adaptive miniature robots.展开更多
In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challen...In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challenging task. However, previous work has primarily focused on the independent recognition of user intent and emotion, making it difficult to simultaneously track both aspects in the dialogue tracking module and to effectively utilize user emotions in subsequent dialogue strategies. We propose a Multi-Head Encoder Shared Model (MESM) that dynamically integrates features from emotion and intent encoders through a feature fusioner. Addressing the scarcity of datasets containing both emotion and intent labels, we designed a multi-dataset learning approach enabling the model to generate dialogue summaries encompassing both user intent and emotion. Experiments conducted on the MultiWoZ and MELD datasets demonstrate that our model effectively captures user intent and emotion, achieving extremely competitive results in dialogue state tracking tasks.展开更多
对于晚期或转移性胃癌患者,目前公认采取以全身抗肿瘤药物治疗为主的多学科综合治疗和全程多方位管理以延长患者生存时间和改善患者生存质量。中国临床肿瘤学会(CSCO)胃癌诊疗指南每年更新,融合国内外最新的临床研究进展,关注中国人群...对于晚期或转移性胃癌患者,目前公认采取以全身抗肿瘤药物治疗为主的多学科综合治疗和全程多方位管理以延长患者生存时间和改善患者生存质量。中国临床肿瘤学会(CSCO)胃癌诊疗指南每年更新,融合国内外最新的临床研究进展,关注中国人群研究数据和贴近本国临床实践。2021版CSCO转移性胃癌诊疗指南更新主要围绕免疫治疗、抗HER2靶向治疗和胃癌支持治疗等方面展开。基于2020年晚期胃癌在免疫治疗取得重大突破,更新重点聚焦免疫治疗,2021版CSCO指南从新的临床证据出发,针对免疫治疗从一线到三线,如何选择不同的程序性死亡受体-1(programmed cell death 1,PD-1)单抗药物,不同的适用人群均作出了详细推荐及注释,以期规范免疫治疗在晚期胃癌中的应用。本文就2021版CSCO指南对免疫治疗、抗HER2靶向治疗和胃癌支持治疗等方面的更新作总结性的解读,概括性阐明2021版CSCO中反映的晚期转移性胃癌治疗的新进展。展开更多
The popularity of wearable devices and smartphones has fueled the development of Mobile Augmented Reality(MAR),which provides immersive experiences over the real world using techniques,such as computer vision and deep...The popularity of wearable devices and smartphones has fueled the development of Mobile Augmented Reality(MAR),which provides immersive experiences over the real world using techniques,such as computer vision and deep learning.However,the hardware-specific MAR is costly and heavy,and the App-based MAR requires an additional download and installation and it also lacks cross-platform ability.These limitations hamper the pervasive promotion of MAR.This paper argues that mobile Web AR(MWAR)holds the potential to become a practical and pervasive solution that can effectively scale to millions of end-users because MWAR can be developed as a lightweight,cross-platform,and low-cost solution for end-to-end delivery of MAR.The main challenges for making MWAR a reality lie in the low efficiency for dense computing in Web browsers,a large delay for real-time interactions over mobile networks,and the lack of standardization.The good news is that the newly emerging 5G and Beyond 5G(B5G)cellular networks can mitigate these issues to some extent via techniques such as network slicing,device-to-device communication,and mobile edge computing.In this paper,we first give an overview of the challenges and opportunities of MWAR in the 5G era.Then we describe our design and development of a generic service-oriented framework(called MWAR5)to provide a scalable,flexible,and easy to deploy MWAR solution.We evaluate the performance of our MWAR5 system in an actually deployed 5G trial network under the collaborative configurations,which shows encouraging results.Moreover,we also share the experiences and insights from our development and deployment,including some exciting future directions of MWAR over 5G and B5G networks.展开更多
The Xujiaweizi （XJWZ） fault depression is a primary area for deep-seated gas explo- ration in Daqing. Through seismic profile interpretation, the main sag-controlling fault and struc- tural characteristics in the XJ...The Xujiaweizi （XJWZ） fault depression is a primary area for deep-seated gas explo- ration in Daqing. Through seismic profile interpretation, the main sag-controlling fault and struc- tural characteristics in the XJWZ fault depression were analyzed based on folds and faults analysis. A three-dimensional geological model of the XJWZ fault depression was also set up to enable fur- ther discussion by means of structural physical modeling. According to our research, the basic structural framework of the XJWZ fault depression was the result of regional extension. Its forma- tion and evolution were mainly controlled by the Xuxi fault. The structural framework of S-N blocking was due to changes in the fracture attitude. The Xuzhong uplift and the depressions on both sides belong to a normal-fault-related fold and were formed by controlling of the ramp/flat normal fault in the same tectonic movement period.展开更多
Publish/subscribe paradigm paves a way to integrate and serve many scalable, inter-operable Internet of Things(IoT) applications. The increasing IoT applications require new properties of publish/subscribe communicati...Publish/subscribe paradigm paves a way to integrate and serve many scalable, inter-operable Internet of Things(IoT) applications. The increasing IoT applications require new properties of publish/subscribe communication model, for example, strict quality of service(Qo S) guarantees, supporting a large number of widely distributed devices, etc. Software Defined Networking(SDN) enables personalized programming and individualized QoS supports for different applications. The combination of the two will have a good prospect. In this paper, we present an IoT-oriented communication platform which combines the publish/subscribe paradigm with SDN, aiming at establishing an IoT ecosystem to facilitate IoT services/applications accessing internet. We design the interaction logic of topic-based publish/subscribe middleware, and describe the setup and maintenance of topology information as well as event routing in detail, considering the characteristics of SDN. Finally, we exemplify its practicability with a deployed District Heating Control and Information Service System(DHCISS) and validity the effectiveness with some experiments.展开更多
The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Rec...The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Recently, several proposals for fulfilling the quality of service(QoS) guarantees have been presented. However, they can only support coarse-grained QoS with no guarantee of throughput, jitter, delay or loss rate for different applications. To address these more challenging problems, an adaptive scheduling algorithm for Parallel data Processing with Multiple Feedback(PPMF) queues based on software defined networks(SDN) is proposed in this paper, which can guarantee the quality of service of high priority traffic in multimedia applications. PPMF combines the queue bandwidth feedback mechanism to realise the automatic adjustment of the queue bandwidth according to the priority of the packet and network conditions, which can effectively solve the problem of network congestion that has been experienced by some queues for a long time. Experimental results show PPMF significantly outperforms other existing scheduling approaches in achieving 35--80% improvement on average time delay by adjusting the bandwidth adaptively, thus ensuring the transmission quality of the specified traffic and avoiding effectively network congestion.展开更多
As a named data-based clean-slate future Internet architecture,Content-Centric Networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP network.In CCN,communication is wholl...As a named data-based clean-slate future Internet architecture,Content-Centric Networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP network.In CCN,communication is wholly driven by the data consumer.Consumers must send Interest packets with the content name and not by the host’s network address.Its nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works well.This paper presents a comprehensive survey of state-of-the-art application research activities related to CCN architecture.Our main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.展开更多
Publish/subscribe paradigm is often adopted to create the communication infrastructure of the Internet of Things(IoT)for many clients to access enormous real-time sensor data.However,most current publish/subscribe mid...Publish/subscribe paradigm is often adopted to create the communication infrastructure of the Internet of Things(IoT)for many clients to access enormous real-time sensor data.However,most current publish/subscribe middlewares are based on traditional ossified IP networks,which are difficult to enable Quality of Service(QoS).How to design the next generation publish/subscribe middleware has become an urgent problem.The emerging Software Defined Networking(SDN)provides new opportunities to improve the QoS of publish/subscribe facilities for delivering events in IoT owing to its customized programmability and centralized control.We can encode event topics,priorities and security policies into flow entries of SDN-enabled switches to satisfy personalized QoS needs.In this paper,we propose a cross-layer QoS enabled SDN-like publish/subscribe communication infrastructure,aiming at building an IoT platform to seamlessly connect IoT services with SDN networks and improving the QoS of delivering events.We first present an SDN-like topic-oriented publish/subscribe middleware architecture with a cross-layer QoS control framework.Then we discuss prototype implementation,including topic management,topology maintenance,event routing and policy management.In the end,we use differentiated services and cross-layer access control as cross-layer QoS scenarios to verify the prototype.Experimental results show that our middleware is effective.展开更多
Recently,graphene oxide(GO),MXene,carbon nanotubes(CNTs) have been used for compounding with other materials as anodes and cathodes to achieve excellent electrochemical properties for metal-ion batteries.However,few r...Recently,graphene oxide(GO),MXene,carbon nanotubes(CNTs) have been used for compounding with other materials as anodes and cathodes to achieve excellent electrochemical properties for metal-ion batteries.However,few researches have focused on the differences between the three additives.Herein,silicon,as a typical anode,is selected to integrate with MXene,GO and CNTs in carbon nanofibers(CNFs) and form Si/MXene@CNFs,Si/GO@CNFs and Si/CNTs@CNFs,respectively.Together with the results,it can be realized that these CNFs with a significant improved performance compared with pure Si@CNFs show superiority in different aspects of electrochemical properties.Additionally,the reasons for the superiority are also discussed in this work.The addition of MXene can improve the cycle stability of the electrodes,thereby obtaining a high capacity retention rate,CNTs are favorable for the enhancement of rate performance,and the electrodes reversible capacity can be increased due to the addition of GO.Consequently,the studies on three additives may contribute to the rational design of silicon-based and other anode materials.展开更多
With the popularity of smartphones and the rapid development of mobile internet, smartphone becomes an important tool that store sensitive data of owner. Encryption naturally becomes a necessary means of protection. I...With the popularity of smartphones and the rapid development of mobile internet, smartphone becomes an important tool that store sensitive data of owner. Encryption naturally becomes a necessary means of protection. In certain situations, this is inadequate, as user may be coerced to hand over decryption keys or passwords of sensitive APP(Ali Pay) on mobile device. Therefore, only encryption cannot protect sensitive APP and privacy data stored on user's smartphone. To address these obstacles, we design a protection system called Mobi Gemini. It enables automatic uninstalling service that can immediately uninstall multiple APP at same time, and also enabling plausibly deniable encryption(PDE) on mobile devices by hiding encrypted volume within random data in free space of cache partition. We improve the key store way of previous PDE schemes on mobile device. The evaluation results show that the scheme introduces a few overhead compared with original android system enabling full disk encryption.展开更多
Mobile devices as a popular computing platform for enterprise systems have enabled certain tasks to be executed out of office.However,the work may be interrupted due to the server shutdown or network disconnection whe...Mobile devices as a popular computing platform for enterprise systems have enabled certain tasks to be executed out of office.However,the work may be interrupted due to the server shutdown or network disconnection when employees access traditional single-engine Business Process Management System.To overcome this defect,we present a lightweight twin-engine architecture based on Service Oriented Architecture(SOA).In this paper,we discuss in detail the design and implementation of the architecture,and present a trigger mechanism to activate engines according to the states of hybrid environments since it is critical for the two types of engines to cooperate closely in hybrid environments with fixed and mobile computing resources.The experimental results validate the usability of the architecture.展开更多
Recommendation system can greatly alleviate the "information overload" in the big data era. Existing recommendation methods, however, typically focus on predicting missing rating values via analyzing user-it...Recommendation system can greatly alleviate the "information overload" in the big data era. Existing recommendation methods, however, typically focus on predicting missing rating values via analyzing user-item dualistic relationship, which neglect an important fact that the latent interests of users can influence their rating behaviors. Moreover, traditional recommendation methods easily suffer from the high dimensional problem and cold-start problem. To address these challenges, in this paper, we propose a PBUED(PLSA-Based Uniform Euclidean Distance) scheme, which utilizes topic model and uniform Euclidean distance to recommend the suitable items for users. The solution first employs probabilistic latent semantic analysis(PLSA) to extract users' interests, users with different interests are divided into different subgroups. Then, the uniform Euclidean distance is adopted to compute the users' similarity in the same interest subset; finally, the missing rating values of data are predicted via aggregating similar neighbors' ratings. We evaluate PBUED on two datasets and experimental results show PBUED can lead to better predicting performance and ranking performance than other approaches.展开更多
The electrocatalysis of nitrate reduction reaction(NRR)has been considered to be a promising nitrate removal technology.Developing a highly effective iron-based electrocatalyst is an essential challenge for NRR.Herein...The electrocatalysis of nitrate reduction reaction(NRR)has been considered to be a promising nitrate removal technology.Developing a highly effective iron-based electrocatalyst is an essential challenge for NRR.Herein,boron-iron nanochains(B-Fe NCs)as efficient NRR catalysts were prepared via a facile lowcost and scalable method.The Fe/B ratio of the B-Fe NCs-x can be elaborately adjusted to optimize the NRR catalytic performance.Due to the electron transfer from boron to metal,the metal-metal bonds are weakened and the electron density near the metal atom centers are rearranged,which are favor of the conversion from NO3-into N2.Moreover,the well-crosslinked chain-like architectures benefit the mass/electron transport to boost the exposure of abundant catalytic active sites.Laboratory experiments demonstrated that the optimized B-Fe NCs catalyst exhibits superior intrinsic electrocatalytic NRR activity of high nitrate conversion(~80%),ultrahigh nitrogen selectivity(~99%)and excellent long-term reactivity in the mixed electrolyte system(0.02 mol/L NaCl and 0.02 mol/L Na_(2)SO_(4)mixed electrolyte),and the electrocatalytic activity of the material shows poor performance at low chloride ion concentration(Nitrate conversion of~61%and nitrogen selectivity of~57%in 0.005 mol/L NaCl and 0.035 mol/L Na_(2)SO_(4)mixed electrolyte).This study provides a broad application prospect for further exploring the highefficiency and low-cost iron-based functional nanostructures for electrocatalytic nitrate reduction.展开更多
With the growing popularity of data-intensive services on the Internet, the traditional process-centric model for business process meets challenges due to the lack of abilities to describe data semantics and dependenc...With the growing popularity of data-intensive services on the Internet, the traditional process-centric model for business process meets challenges due to the lack of abilities to describe data semantics and dependencies, resulting in the inflexibility of the design and implement for the processes. This paper proposes a novel data-aware business process model which is able to describe both explicit control flow and implicit data flow. Data model with dependencies which are formulated by Linear-time Temporal Logic(LTL) is presented, and their satisfiability is validated by an automaton-based model checking algorithm. Data dependencies are fully considered in modeling phase, which helps to improve the efficiency and reliability of programming during developing phase. Finally, a prototype system based on j BPM for data-aware workflow is designed using such model, and has been deployed to Beijing Kingfore heating management system to validate the flexibility, efficacy and convenience of our approach for massive coding and large-scale system management in reality.展开更多
With the development of medical sensors and IoT, personalized service assisted elder and patient living is a critical service in IoT-based healthcare application. However, the scale and complexity of personalized serv...With the development of medical sensors and IoT, personalized service assisted elder and patient living is a critical service in IoT-based healthcare application. However, the scale and complexity of personalized service is increasing because of ubiquitous deployment of various kinds of medical sensors, which cause response time increase and resource waste. Therefore, leveraging the advantage of complex event processing(CEP) in data stream processing, we propose a hierarchical fog-cloud computing CEP architecture for personalized service to accelerate response time and reduce resource waste. Firstly, we introduce the proposed architecture, which includes sensor layer, fog layer and cloud layer. Secondly, we propose a series of optimizations for the architecture, there are a partitioning and clustering approach and a communication and parallel processing policy to optimize the fog and cloud computing. Finally, we implement a prototype system based on the architecture named Fog Cep Care. Experimental result shows that Fog Cep Care is superior to the traditional IoT-based healthcare application.展开更多
As the rapid development of Wireless Communications and the popularity of the Intelligent Terminal, data synchronization has been a social focus, meanwhile, user terminal devices are increasingly diversified, traditio...As the rapid development of Wireless Communications and the popularity of the Intelligent Terminal, data synchronization has been a social focus, meanwhile, user terminal devices are increasingly diversified, traditional synchronization technology based C/S mode has such deficiencies as insufficient amount of transmitting data and bad Real-time efficiency. It has become increasingly unable to meet the needs of future development. In this paper, we proposed and designed a new method and system by separating control with transmission to synchronize data to ensure Real-time data and improve efficiency.展开更多
Molecular catalysts like metal phthalocyanines(MPc)hold significant promise for diverse applications in renewable energy conversion and storage.Despite their inherent catalytic activity in the oxygen reduction reactio...Molecular catalysts like metal phthalocyanines(MPc)hold significant promise for diverse applications in renewable energy conversion and storage.Despite their inherent catalytic activity in the oxygen reduction reaction(ORR),enhancing their practical applicability necessitates addressing challenges in electrical conductivity and catalytic stability through effective control of electron distribution within the substrate.In this work,we have successfully synthesized an electrocatalyst featuring FePc molecules anchored onto N,S co-doped carbon nanorods from a pillar-layer metal-organic framework(MOF),designated as ZTB-NSCR-FePc.This MOF-derived heteroatom-doped carbon substrate could be easily obtained by direct pyrolysis of a pre-fabricated rod-like Zn-TDC-bpy.The optimized ZTB-NSCR-FePc demonstrated exceptional electrocatalytic efficiency and stability towards ORR with a positive half-wave potential of 0.890 V.When employed in a Zn-air battery,it outperformed the benchmark Pt/C air cathode,achieving a peak power density of 198.9 mW cm-2.Finally,theoretical calculations revealed that short-range electron interactions between N/S atoms and the graphene substrate significantly enhance the anchoring effect of FePc,improve the adsorption of reaction intermediates,and thereby boost the ORR performance.展开更多
Due to the shortage of rational waste management,plastic waste has become increasingly serious,posing a serious threat to the environment and humans.The catalytic oxidation of polyethylene terephthalate(PET)waste has ...Due to the shortage of rational waste management,plastic waste has become increasingly serious,posing a serious threat to the environment and humans.The catalytic oxidation of polyethylene terephthalate(PET)waste has been reported to reduce environmental stress and produce valuable products.However,obtaining valuable chemicals from waste plastics under mild conditions driven by specific reactive oxygen species is a great challenge.Herein,N,P-doped Mo_(2)C@porous carbon was designed and employed in the peroxymonosulfate-based advanced oxidation reforming of PET hydrolysate.The ethylene glycol(EG)derived from PET fiber was catalytically oxidized to formate via singlet oxygen activation during the peroxymonosulfate-based advanced oxidation process.Compared with Mo_(2)C,the N,P-doped Mo_(2)C@porous carbon catalyst with a large specific surface area provides more active sites,which has the characteristic of high catalytic activity.It presents the tetracycline degradation efficiency of~80%under a wide pH range(6.8-10.6)and,further,the formate generation rate of~56.5 mmol_(gcat)−1 in the advanced oxidation reforming process of EG in 8 h.The detection and quenching experiments on the oxygen active species comprehensively confirmed that singlet oxygen is the key reactive oxygen species during the advanced catalytic oxidation reactions.This work provided a constructive demonstration for designing advanced oxidation catalysts to catalyze the reforming of waste PET fiber plastics into valuable chemicals.展开更多
A large proportion of Internet of Things （loT） applications are internally publish/subscribe in nature, and traditional architecture cannot support them efficiently and flexibly. In essence, supporting efficient pub...A large proportion of Internet of Things （loT） applications are internally publish/subscribe in nature, and traditional architecture cannot support them efficiently and flexibly. In essence, supporting efficient publish/subscribe systems requires data-oriented naming and efficient multicast. Since deployment of native IP-based multicast has failed, overlay-based multicast has become the practical choice. Since load balancing between heterogeneous nodes is an important issue, designing an optimal load balancing overlay net- work for publish/subscribe systems is a necessary endeavor. This study focuses on the optimal load balancing overlay design problem for topic-based publish/subscribe systems in a heterogeneous environment （in terms of node processing power, bandwidth, and reachability）. The Minimum Idle Degree （MID） model is introduced to capture the heterogeneity of overlay nodes. Based on the MID model, new node load measures are defined that can accommodate heterogeneous server capacities and capture the node load in publish/subscribe systems more accurately than traditional measures. A new optimization problem, Maximum Minimum Idle Degree Topic-Connected Overlay （MMID-TCO）, is established. This problem is NP-complete and a constant approximation algorithm does not exist for this problem （unless P=NP）. Based on MID metrics, the Maximum Minimum Idle Degree Overlay Design Algorithm （MMID-ODA）, which has polynomial time is introduced. To improve performance, an approach that breaks down the problem into several small-scale problems by exploiting the potential inherent disjoint characteristic in the subscription table is presented. Simulation results show that the proposed algorithm is able to achieve better load balance than MinMax-ODA in a heterogeneous environment.展开更多
基金the National Key R&D Program of China(No.2023YFE0208700)National Natural Sci-ence Foundation of China(No.92163109 and 52072095)+7 种基金Shenzhen Science and Technology Program(No.RCJC20231211090000001,GXWD20231129101105001)the National Natural Science Foundation of China(No.52205590)the Natural Science Foundation of Jiangsu Province(No.BK20220834)the Start-up Research Fund of Southeast University(No.RF1028623098)the State Key Laboratory of Robotics and Systems(HIT)(No.SKLRS-2024-KF-11)National Natural Science Foundation of China(No.52202348)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011491)Shenzhen Science and Technology Program(Nos.GXWD20220818224716001,KJZD20231023100302006).
文摘Due to the small size,active mobility,and intrinsic softness,miniature soft robots hold promising po-tentials in reaching the deep region inside living bodies otherwise inaccessible with compelling agility,adaptability and safety.Various materials and actuation strategies have been developed for creating soft robots,among which,ferromagnetic soft materials that self-actuate in response to external magnetic fields have attracted worldwide attention due to their remote controllability and excellent compatibil-ity with biological tissues.This review presents comprehensive and systematic research advancements in the design,fabrication,and applications of ferromagnetic soft materials for miniature robots,providing in-sights into their potential use in biomedical fields and beyond.The programming strategies of ferromag-netic soft materials are summarized and classified,including mold-assisted programming,3D printing-assisted programming,microassembly-assisted programming,and magnetization reprogramming.Each approach possesses unique advantages in manipulating the magnetic responsiveness of ferromagnetic soft materials to achieve outstanding actuation and deformation performances.We then discuss the biomedi-cal applications of ferromagnetic soft material-based soft robots(e.g.,minimally invasive surgery,targeted delivery,and tissue engineering),highlighting their potentials in revolutionizing biomedical technologies.This review also points out the current challenges and provides insights into future research directions,which we hope can serve as a useful reference for the development of next-generation adaptive miniature robots.
基金funded by the Science and Technology Foundation of Chongqing EducationCommission(GrantNo.KJQN202301153)the ScientificResearch Foundation of Chongqing University of Technology(Grant No.2021ZDZ025)the Postgraduate Innovation Foundation of Chongqing University of Technology(Grant No.gzlcx20243524).
文摘In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challenging task. However, previous work has primarily focused on the independent recognition of user intent and emotion, making it difficult to simultaneously track both aspects in the dialogue tracking module and to effectively utilize user emotions in subsequent dialogue strategies. We propose a Multi-Head Encoder Shared Model (MESM) that dynamically integrates features from emotion and intent encoders through a feature fusioner. Addressing the scarcity of datasets containing both emotion and intent labels, we designed a multi-dataset learning approach enabling the model to generate dialogue summaries encompassing both user intent and emotion. Experiments conducted on the MultiWoZ and MELD datasets demonstrate that our model effectively captures user intent and emotion, achieving extremely competitive results in dialogue state tracking tasks.
文摘对于晚期或转移性胃癌患者,目前公认采取以全身抗肿瘤药物治疗为主的多学科综合治疗和全程多方位管理以延长患者生存时间和改善患者生存质量。中国临床肿瘤学会(CSCO)胃癌诊疗指南每年更新,融合国内外最新的临床研究进展,关注中国人群研究数据和贴近本国临床实践。2021版CSCO转移性胃癌诊疗指南更新主要围绕免疫治疗、抗HER2靶向治疗和胃癌支持治疗等方面展开。基于2020年晚期胃癌在免疫治疗取得重大突破,更新重点聚焦免疫治疗,2021版CSCO指南从新的临床证据出发,针对免疫治疗从一线到三线,如何选择不同的程序性死亡受体-1(programmed cell death 1,PD-1)单抗药物,不同的适用人群均作出了详细推荐及注释,以期规范免疫治疗在晚期胃癌中的应用。本文就2021版CSCO指南对免疫治疗、抗HER2靶向治疗和胃癌支持治疗等方面的更新作总结性的解读,概括性阐明2021版CSCO中反映的晚期转移性胃癌治疗的新进展。
基金supported in part by the National Key R&D Program of China under Grant 2018YFE0205503in part by the National Natural Science Foundation of China (NSFC) under Grant 61671081+4 种基金in part by the Funds for International Cooperation and Exchange of NSFC under Grant 61720106007in part by the 111 Project under Grant B18008in part by the Beijing Natural Science Foundation under Grant 4172042in part by the Fundamental Research Funds for the Central Universities under Grant 2018XKJC01in part by the BUPT Excellent Ph.D. Students Foundation under Grant CX2019213
文摘The popularity of wearable devices and smartphones has fueled the development of Mobile Augmented Reality(MAR),which provides immersive experiences over the real world using techniques,such as computer vision and deep learning.However,the hardware-specific MAR is costly and heavy,and the App-based MAR requires an additional download and installation and it also lacks cross-platform ability.These limitations hamper the pervasive promotion of MAR.This paper argues that mobile Web AR(MWAR)holds the potential to become a practical and pervasive solution that can effectively scale to millions of end-users because MWAR can be developed as a lightweight,cross-platform,and low-cost solution for end-to-end delivery of MAR.The main challenges for making MWAR a reality lie in the low efficiency for dense computing in Web browsers,a large delay for real-time interactions over mobile networks,and the lack of standardization.The good news is that the newly emerging 5G and Beyond 5G(B5G)cellular networks can mitigate these issues to some extent via techniques such as network slicing,device-to-device communication,and mobile edge computing.In this paper,we first give an overview of the challenges and opportunities of MWAR in the 5G era.Then we describe our design and development of a generic service-oriented framework(called MWAR5)to provide a scalable,flexible,and easy to deploy MWAR solution.We evaluate the performance of our MWAR5 system in an actually deployed 5G trial network under the collaborative configurations,which shows encouraging results.Moreover,we also share the experiences and insights from our development and deployment,including some exciting future directions of MWAR over 5G and B5G networks.
基金supported by the National Natural Science Foundation of China (No. 41672196)the National Science and Technology Major Project of the Ministry of Science and Technology of China (No. 2016ZX05004-005)+1 种基金the Science and Technology Support Program of Sichuan Province (No. 2015SZ0224)the Scientific Research Fund of Sichuan Provincial Education Department (No. 13TD0007)
文摘The Xujiaweizi （XJWZ） fault depression is a primary area for deep-seated gas explo- ration in Daqing. Through seismic profile interpretation, the main sag-controlling fault and struc- tural characteristics in the XJWZ fault depression were analyzed based on folds and faults analysis. A three-dimensional geological model of the XJWZ fault depression was also set up to enable fur- ther discussion by means of structural physical modeling. According to our research, the basic structural framework of the XJWZ fault depression was the result of regional extension. Its forma- tion and evolution were mainly controlled by the Xuxi fault. The structural framework of S-N blocking was due to changes in the fracture attitude. The Xuzhong uplift and the depressions on both sides belong to a normal-fault-related fold and were formed by controlling of the ramp/flat normal fault in the same tectonic movement period.
基金supported by National Hightech R&D Program of China (863 Program) under Grant (No. 2013AA102301)Natural Science Foundation of China under Grant (No. U1536112)
文摘Publish/subscribe paradigm paves a way to integrate and serve many scalable, inter-operable Internet of Things(IoT) applications. The increasing IoT applications require new properties of publish/subscribe communication model, for example, strict quality of service(Qo S) guarantees, supporting a large number of widely distributed devices, etc. Software Defined Networking(SDN) enables personalized programming and individualized QoS supports for different applications. The combination of the two will have a good prospect. In this paper, we present an IoT-oriented communication platform which combines the publish/subscribe paradigm with SDN, aiming at establishing an IoT ecosystem to facilitate IoT services/applications accessing internet. We design the interaction logic of topic-based publish/subscribe middleware, and describe the setup and maintenance of topology information as well as event routing in detail, considering the characteristics of SDN. Finally, we exemplify its practicability with a deployed District Heating Control and Information Service System(DHCISS) and validity the effectiveness with some experiments.
基金supported by National Key Basic Research Program of China(973 Program)under grant no.2012CB315802National Natural Science Foundation of China under grant no.61671081 and no.61132001Prospective Research on Future Networks of Jiangsu Future Networks Innovation Institute under grant no.BY2013095-4-01
文摘The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Recently, several proposals for fulfilling the quality of service(QoS) guarantees have been presented. However, they can only support coarse-grained QoS with no guarantee of throughput, jitter, delay or loss rate for different applications. To address these more challenging problems, an adaptive scheduling algorithm for Parallel data Processing with Multiple Feedback(PPMF) queues based on software defined networks(SDN) is proposed in this paper, which can guarantee the quality of service of high priority traffic in multimedia applications. PPMF combines the queue bandwidth feedback mechanism to realise the automatic adjustment of the queue bandwidth according to the priority of the packet and network conditions, which can effectively solve the problem of network congestion that has been experienced by some queues for a long time. Experimental results show PPMF significantly outperforms other existing scheduling approaches in achieving 35--80% improvement on average time delay by adjusting the bandwidth adaptively, thus ensuring the transmission quality of the specified traffic and avoiding effectively network congestion.
基金supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61671081in part by the Funds for International Cooperation and Exchange of NSFC under Grant 61720106007+2 种基金in part by the 111 Project under Grant B18008in part by the Beijing Natural Science Foundation under Grant 4172042in part by the Fundamental Research Funds for the Central Universities under Grant 2018XKJC01
文摘As a named data-based clean-slate future Internet architecture,Content-Centric Networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP network.In CCN,communication is wholly driven by the data consumer.Consumers must send Interest packets with the content name and not by the host’s network address.Its nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works well.This paper presents a comprehensive survey of state-of-the-art application research activities related to CCN architecture.Our main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.
基金the National Key Research and Development Program of China(No.2018YFB1003800).
文摘Publish/subscribe paradigm is often adopted to create the communication infrastructure of the Internet of Things(IoT)for many clients to access enormous real-time sensor data.However,most current publish/subscribe middlewares are based on traditional ossified IP networks,which are difficult to enable Quality of Service(QoS).How to design the next generation publish/subscribe middleware has become an urgent problem.The emerging Software Defined Networking(SDN)provides new opportunities to improve the QoS of publish/subscribe facilities for delivering events in IoT owing to its customized programmability and centralized control.We can encode event topics,priorities and security policies into flow entries of SDN-enabled switches to satisfy personalized QoS needs.In this paper,we propose a cross-layer QoS enabled SDN-like publish/subscribe communication infrastructure,aiming at building an IoT platform to seamlessly connect IoT services with SDN networks and improving the QoS of delivering events.We first present an SDN-like topic-oriented publish/subscribe middleware architecture with a cross-layer QoS control framework.Then we discuss prototype implementation,including topic management,topology maintenance,event routing and policy management.In the end,we use differentiated services and cross-layer access control as cross-layer QoS scenarios to verify the prototype.Experimental results show that our middleware is effective.
基金financially supported by the National Natural Science Foundation of China(No.51702046)the Open Project of State Key Laboratory of Advanced Special Steel,Shanghai Key Laboratory of Advanced Ferrometallurgy,Shanghai University(SKLASS 2019-2021)+1 种基金the Science and Technology Commission of Shanghai Municipality(No.19DZ2270200)the Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher Learning,State Key Laboratory for Modification of Chemical Fibers and Polymer Materials,Donghua University。
文摘Recently,graphene oxide(GO),MXene,carbon nanotubes(CNTs) have been used for compounding with other materials as anodes and cathodes to achieve excellent electrochemical properties for metal-ion batteries.However,few researches have focused on the differences between the three additives.Herein,silicon,as a typical anode,is selected to integrate with MXene,GO and CNTs in carbon nanofibers(CNFs) and form Si/MXene@CNFs,Si/GO@CNFs and Si/CNTs@CNFs,respectively.Together with the results,it can be realized that these CNFs with a significant improved performance compared with pure Si@CNFs show superiority in different aspects of electrochemical properties.Additionally,the reasons for the superiority are also discussed in this work.The addition of MXene can improve the cycle stability of the electrodes,thereby obtaining a high capacity retention rate,CNTs are favorable for the enhancement of rate performance,and the electrodes reversible capacity can be increased due to the addition of GO.Consequently,the studies on three additives may contribute to the rational design of silicon-based and other anode materials.
基金supported in part by Natural Science Foundation of China under (Grant No. U1536112) National Key Technology Research and Development Program of China (Grant No. 2012BAH94F02)+1 种基金National High-tech R&D Program of China (863 Program) under Grant No. 2013AA102301 Project of New Generation Broad band Wireless Network under Grant No. 2014ZX03006003
文摘With the popularity of smartphones and the rapid development of mobile internet, smartphone becomes an important tool that store sensitive data of owner. Encryption naturally becomes a necessary means of protection. In certain situations, this is inadequate, as user may be coerced to hand over decryption keys or passwords of sensitive APP(Ali Pay) on mobile device. Therefore, only encryption cannot protect sensitive APP and privacy data stored on user's smartphone. To address these obstacles, we design a protection system called Mobi Gemini. It enables automatic uninstalling service that can immediately uninstall multiple APP at same time, and also enabling plausibly deniable encryption(PDE) on mobile devices by hiding encrypted volume within random data in free space of cache partition. We improve the key store way of previous PDE schemes on mobile device. The evaluation results show that the scheme introduces a few overhead compared with original android system enabling full disk encryption.
基金supported by the National 973 Programs(2013CB329102)the National Natural Science Foundation of China(61501048)+3 种基金China Postdoctoral Science Foundation funded project(2016T90067,2015M570060)the Key Project of National Natural Science Foundation of China(61132001)the National Key Technology Research and Development Program of China(2012BAH94F02)the Fundamental Research Funds for the Central Universities(2015RC22)
文摘Mobile devices as a popular computing platform for enterprise systems have enabled certain tasks to be executed out of office.However,the work may be interrupted due to the server shutdown or network disconnection when employees access traditional single-engine Business Process Management System.To overcome this defect,we present a lightweight twin-engine architecture based on Service Oriented Architecture(SOA).In this paper,we discuss in detail the design and implementation of the architecture,and present a trigger mechanism to activate engines according to the states of hybrid environments since it is critical for the two types of engines to cooperate closely in hybrid environments with fixed and mobile computing resources.The experimental results validate the usability of the architecture.
基金supported in part by the National High‐tech R&D Program of China (863 Program) under Grant No. 2013AA102301technological project of Henan province (162102210214)
文摘Recommendation system can greatly alleviate the "information overload" in the big data era. Existing recommendation methods, however, typically focus on predicting missing rating values via analyzing user-item dualistic relationship, which neglect an important fact that the latent interests of users can influence their rating behaviors. Moreover, traditional recommendation methods easily suffer from the high dimensional problem and cold-start problem. To address these challenges, in this paper, we propose a PBUED(PLSA-Based Uniform Euclidean Distance) scheme, which utilizes topic model and uniform Euclidean distance to recommend the suitable items for users. The solution first employs probabilistic latent semantic analysis(PLSA) to extract users' interests, users with different interests are divided into different subgroups. Then, the uniform Euclidean distance is adopted to compute the users' similarity in the same interest subset; finally, the missing rating values of data are predicted via aggregating similar neighbors' ratings. We evaluate PBUED on two datasets and experimental results show PBUED can lead to better predicting performance and ranking performance than other approaches.
基金financially supported by the Fok Ying-Tong Education Foundation(No.171041)Shanghai Scientific and Technological Innovation Project(No.19JC1410400)+1 种基金Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher LearningState Key Laboratory for Modification of Chemical Fibers and Polymer Materials,Donghua University。
文摘The electrocatalysis of nitrate reduction reaction(NRR)has been considered to be a promising nitrate removal technology.Developing a highly effective iron-based electrocatalyst is an essential challenge for NRR.Herein,boron-iron nanochains(B-Fe NCs)as efficient NRR catalysts were prepared via a facile lowcost and scalable method.The Fe/B ratio of the B-Fe NCs-x can be elaborately adjusted to optimize the NRR catalytic performance.Due to the electron transfer from boron to metal,the metal-metal bonds are weakened and the electron density near the metal atom centers are rearranged,which are favor of the conversion from NO3-into N2.Moreover,the well-crosslinked chain-like architectures benefit the mass/electron transport to boost the exposure of abundant catalytic active sites.Laboratory experiments demonstrated that the optimized B-Fe NCs catalyst exhibits superior intrinsic electrocatalytic NRR activity of high nitrate conversion(~80%),ultrahigh nitrogen selectivity(~99%)and excellent long-term reactivity in the mixed electrolyte system(0.02 mol/L NaCl and 0.02 mol/L Na_(2)SO_(4)mixed electrolyte),and the electrocatalytic activity of the material shows poor performance at low chloride ion concentration(Nitrate conversion of~61%and nitrogen selectivity of~57%in 0.005 mol/L NaCl and 0.035 mol/L Na_(2)SO_(4)mixed electrolyte).This study provides a broad application prospect for further exploring the highefficiency and low-cost iron-based functional nanostructures for electrocatalytic nitrate reduction.
基金supported by the National Natural Science Foundation of China (No. 61502043, No. 61132001)Beijing Natural Science Foundation (No. 4162042)BeiJing Talents Fund (No. 2015000020124G082)
文摘With the growing popularity of data-intensive services on the Internet, the traditional process-centric model for business process meets challenges due to the lack of abilities to describe data semantics and dependencies, resulting in the inflexibility of the design and implement for the processes. This paper proposes a novel data-aware business process model which is able to describe both explicit control flow and implicit data flow. Data model with dependencies which are formulated by Linear-time Temporal Logic(LTL) is presented, and their satisfiability is validated by an automaton-based model checking algorithm. Data dependencies are fully considered in modeling phase, which helps to improve the efficiency and reliability of programming during developing phase. Finally, a prototype system based on j BPM for data-aware workflow is designed using such model, and has been deployed to Beijing Kingfore heating management system to validate the flexibility, efficacy and convenience of our approach for massive coding and large-scale system management in reality.
基金supported in part by the National High-tech R&D Program of China(863 Program) under Grant No. 2013AA102301Shandong Provincial Natural Science Foundation(No. ZR2017MF050)
文摘With the development of medical sensors and IoT, personalized service assisted elder and patient living is a critical service in IoT-based healthcare application. However, the scale and complexity of personalized service is increasing because of ubiquitous deployment of various kinds of medical sensors, which cause response time increase and resource waste. Therefore, leveraging the advantage of complex event processing(CEP) in data stream processing, we propose a hierarchical fog-cloud computing CEP architecture for personalized service to accelerate response time and reduce resource waste. Firstly, we introduce the proposed architecture, which includes sensor layer, fog layer and cloud layer. Secondly, we propose a series of optimizations for the architecture, there are a partitioning and clustering approach and a communication and parallel processing policy to optimize the fog and cloud computing. Finally, we implement a prototype system based on the architecture named Fog Cep Care. Experimental result shows that Fog Cep Care is superior to the traditional IoT-based healthcare application.
文摘As the rapid development of Wireless Communications and the popularity of the Intelligent Terminal, data synchronization has been a social focus, meanwhile, user terminal devices are increasingly diversified, traditional synchronization technology based C/S mode has such deficiencies as insufficient amount of transmitting data and bad Real-time efficiency. It has become increasingly unable to meet the needs of future development. In this paper, we proposed and designed a new method and system by separating control with transmission to synchronize data to ensure Real-time data and improve efficiency.
基金financially supported by the National Natural Science Foundation of China(21601137)the Natural Science Foundation of Zhejiang Province(LQ16B010003)+1 种基金the Basic Science and Technology Research Project of Wenzhou,Zhejiang Province(H20220001)the Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities Association(202101BA070001-042)。
文摘Molecular catalysts like metal phthalocyanines(MPc)hold significant promise for diverse applications in renewable energy conversion and storage.Despite their inherent catalytic activity in the oxygen reduction reaction(ORR),enhancing their practical applicability necessitates addressing challenges in electrical conductivity and catalytic stability through effective control of electron distribution within the substrate.In this work,we have successfully synthesized an electrocatalyst featuring FePc molecules anchored onto N,S co-doped carbon nanorods from a pillar-layer metal-organic framework(MOF),designated as ZTB-NSCR-FePc.This MOF-derived heteroatom-doped carbon substrate could be easily obtained by direct pyrolysis of a pre-fabricated rod-like Zn-TDC-bpy.The optimized ZTB-NSCR-FePc demonstrated exceptional electrocatalytic efficiency and stability towards ORR with a positive half-wave potential of 0.890 V.When employed in a Zn-air battery,it outperformed the benchmark Pt/C air cathode,achieving a peak power density of 198.9 mW cm-2.Finally,theoretical calculations revealed that short-range electron interactions between N/S atoms and the graphene substrate significantly enhance the anchoring effect of FePc,improve the adsorption of reaction intermediates,and thereby boost the ORR performance.
基金financially assisted by the Shanghai Committee of Science and Technology,China(No.21ZR1480000)the National Natural Science Foundation of China(No.52122312)the State Key Laboratory of Advanced Fiber Materials,Donghua University(No.KF2508).
文摘Due to the shortage of rational waste management,plastic waste has become increasingly serious,posing a serious threat to the environment and humans.The catalytic oxidation of polyethylene terephthalate(PET)waste has been reported to reduce environmental stress and produce valuable products.However,obtaining valuable chemicals from waste plastics under mild conditions driven by specific reactive oxygen species is a great challenge.Herein,N,P-doped Mo_(2)C@porous carbon was designed and employed in the peroxymonosulfate-based advanced oxidation reforming of PET hydrolysate.The ethylene glycol(EG)derived from PET fiber was catalytically oxidized to formate via singlet oxygen activation during the peroxymonosulfate-based advanced oxidation process.Compared with Mo_(2)C,the N,P-doped Mo_(2)C@porous carbon catalyst with a large specific surface area provides more active sites,which has the characteristic of high catalytic activity.It presents the tetracycline degradation efficiency of~80%under a wide pH range(6.8-10.6)and,further,the formate generation rate of~56.5 mmol_(gcat)−1 in the advanced oxidation reforming process of EG in 8 h.The detection and quenching experiments on the oxygen active species comprehensively confirmed that singlet oxygen is the key reactive oxygen species during the advanced catalytic oxidation reactions.This work provided a constructive demonstration for designing advanced oxidation catalysts to catalyze the reforming of waste PET fiber plastics into valuable chemicals.
基金Supported by the National Key Basic Research and Development (973) Program of China (No. 2011CB302700)the National Natural Science Foundation of China (Nos. 61171102,61132001, and 61001118)
文摘A large proportion of Internet of Things （loT） applications are internally publish/subscribe in nature, and traditional architecture cannot support them efficiently and flexibly. In essence, supporting efficient publish/subscribe systems requires data-oriented naming and efficient multicast. Since deployment of native IP-based multicast has failed, overlay-based multicast has become the practical choice. Since load balancing between heterogeneous nodes is an important issue, designing an optimal load balancing overlay net- work for publish/subscribe systems is a necessary endeavor. This study focuses on the optimal load balancing overlay design problem for topic-based publish/subscribe systems in a heterogeneous environment （in terms of node processing power, bandwidth, and reachability）. The Minimum Idle Degree （MID） model is introduced to capture the heterogeneity of overlay nodes. Based on the MID model, new node load measures are defined that can accommodate heterogeneous server capacities and capture the node load in publish/subscribe systems more accurately than traditional measures. A new optimization problem, Maximum Minimum Idle Degree Topic-Connected Overlay （MMID-TCO）, is established. This problem is NP-complete and a constant approximation algorithm does not exist for this problem （unless P=NP）. Based on MID metrics, the Maximum Minimum Idle Degree Overlay Design Algorithm （MMID-ODA）, which has polynomial time is introduced. To improve performance, an approach that breaks down the problem into several small-scale problems by exploiting the potential inherent disjoint characteristic in the subscription table is presented. Simulation results show that the proposed algorithm is able to achieve better load balance than MinMax-ODA in a heterogeneous environment.
