A5074258333- Energy Load and Power Forecasting
- Immune Cell Function and Interaction
- Power Systems and Renewable Energy
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Data Management and Algorithms
- Complex Network Analysis Techniques
- Wind Turbine Control Systems
- Energy Efficient Wireless Sensor Networks
- Recommender Systems and Techniques
- Microgrid Control and Optimization
- Expert finding and Q&A systems
- Machine Fault Diagnosis Techniques
- 3D IC and TSV technologies
- IL-33, ST2, and ILC Pathways
- Mobile Ad Hoc Networks
- Constraint Satisfaction and Optimization
- Piperaceae Chemical and Biological Studies
- Electric Power System Optimization
- Robotics and Sensor-Based Localization
- Caching and Content Delivery
- Advanced Database Systems and Queries
- Security in Wireless Sensor Networks
- Nuclear Receptors and Signaling
- Robotic Path Planning Algorithms
Huazhong University of Science and Technology
2019-2025
Wuhan National Laboratory for Optoelectronics
2021-2025
Tongji University
2022-2024
Tongji Hospital
2023-2024
China University of Mining and Technology
2023
Binzhou University
2023
Binzhou Medical University
2023
Tsinghua University
2006-2022
Shanghai First Maternity and Infant Hospital
2022
Nanjing University of Aeronautics and Astronautics
2022
Newly emerged event-based online social services, such as Meetup and Plancast, have experienced increased popularity rapid growth. From these we observed a new type of network - (EBSN). An EBSN does not only contain interactions in other conventional networks, but also includes valuable offline captured activities. By analyzing real data collected from Meetup, investigated properties discovered many unique interesting characteristics, heavy-tailed degree distributions strong locality interactions.
Social friendship has been shown beneficial for item recommendation years. However, existing approaches mostly incorporate social into recommender systems by heuristics. In this paper, we argue that influence between friends can be captured quantitatively and propose a probabilistic generative model, called influenced selection(SIS), to model the decision making of selection (e.g., what book buy or where dine). Based on SIS, mine linked personal preferences users through statistical...
Group activities are essential ingredients of people's social life. The rapid growth online networking services has greatly boosted group by providing convenient platform for users to organize and participate in such activities. Therefore, recommender systems, as a critical component services, now face new challenges supporting In this paper, we study the recommendation problem, i.e., making recommendations people services. We analyze decision process propose personal impact topic (PIT)...
Increasing evidence suggests that beta-blocker use might be associated with reduced mortality in prostate cancer patients. To provide a quantitative assessment of this association, we pooled data available to examine the association between and cancer.We identified studies by literature search MEDLINE (from 1 January 1966) EMBASE 1974), through 10 September 2014, searching reference lists pertinent articles. Two authors independently screened reviewed eligibility each study. The primary...
The skyline query, aiming at identifying a set of tuples that are not dominated by any other tuple, is particularly useful for multicriteria data analysis and decision making. For uncertain databases, probabilistic called P-Skyline, has been developed to return specifying probability threshold. However, the answer obtained via P-Skyline query usually includes undesirably dominating each when small threshold specified; or it may contain much fewer if larger employed. To address this concern,...
Kyber is a promising lattice-based post-quantum cryptography (PQC) for key encapsulation mechanisms. Since number theoretic transform (NTT) the most computationally expensive operation in Kyber, this paper focuses on novel optimization techniques efficient hardware implementation of NTT Kyber. Benefiting from proposed fast modular multiplication method and doubled bandwidth ping-pong memory access scheme, our architecture can complete an 490 cycles using only 609 LUTs, 640 FFs, 2 DSPs Xlinx...
B1 cells are self-renewing innate-like B lymphocytes that provide the first line of defense against pathogens. primarily reside in peritoneal cavity and known to originate from various fetal tissues, yet their developmental pathways mechanisms underlying maintenance throughout adulthood remain unclear. We performed high-throughput single-cell analysis transcriptomes B-cell receptor repertoires neonates, young adults, elderly mice. Gene expression 31,718 showed neonate contained many...
Crosslinking enhanced the thermal and moisture stability of AgNWs-em-PVA flexible transparent electrode, which enabled fabrication large-area (52.3 cm 2 ), organic photovoltaic modules with a power conversion efficiency 14.78%.
Graph has been a ubiquitous and essential data representation to model real world objects their relationships. Today, large amounts of graph have generated by various applications. summarization techniques are crucial in uncovering useful insights about the patterns hidden underlying data. However, all existing works single-process solutions, as result cannot scale graphs. In this paper, we introduce three distributed algorithms address problem. Experimental results show that proposed can...
Group 2 innate lymphoid cells (ILC2s) are critical sources of type cytokines and represent one the major tissue-resident in mouse lung. However, molecular mechanisms underlying ILC2 activation under challenges not fully understood.Here, using single-cell transcriptomics, genetic reporters, gene knockouts, we identify four subsets, including two non-activation subsets acute inflammatory Of note, a distinct subset, marked by transcription factor Nr4a1, paradoxically expresses both memory T...
In this paper, we propose the notion of sufficient set for distributed processing probabilistic Top-k queries in cluster-based wireless sensor networks. Through derivation boundary, show that data items ranked lower than boundary are not required answering top-k queries, thus subject to local pruning. Accordingly, develop set-based (SSB) algorithm inter-cluster query processing. Experimental results proposed reduces transmissions significantly.
In this paper, we propose a probabilistic generative model, called unified which naturally unifies the ideas of social influence, collaborative filtering and content-based methods for item recommendation. To address issue hidden devise new algorithms to learn model parameters our proposal based on expectation maximization (EM). addition single-machine version EM algorithm, further parallelized implementation Map-Reduce framework process two large-scale datasets collect. Moreover, show that...
In this paper, we introduce the notion of sufficient set and necessary for distributed processing probabilistic top-k queries in cluster-based wireless sensor networks. These two concepts have very nice properties that can facilitate localized data pruning clusters. Accordingly, develop a suite algorithms, namely, set-based (SSB), (NSB), boundary-based (BB), intercluster query with bounded rounds communications. Moreover, responding to dynamic changes distribution network, an adaptive...
Immunotherapy using PD-L1 blockade is effective in only a small group of cancer patients, and resistance common. This emphasizes the importance understanding mechanisms immune evasion resistance. A genome-scale CRISPR-Cas9 screen identified Bap1 as regulator expression. To measure tumor size survival, cells were subcutaneously injected into both syngeneic WT mice immunocompromised mice. The phenotypic transcriptional characteristics Bap1-deleted tumors examined flow cytometry, RNA-seq,...
Energy conservation is a key issue for algorithm designs in wireless sensor networks. In this paper, we explore in-network aggregation techniques answering top-k queries A query retrieves the k data objects with highest scores evaluated by scoring function on interested features of readings. Our study shows that existing processing query, e.g., Tiny AGgregation Service (TAG), are not energy efficient due to deficiencies their routing structures and mechanisms. To address these deficiencies,...
To ensure an efficient and conflict-free task allocation, this paper presents option-based multi-agent reinforcement learning (OMARL) method for a cooperative multi-station multi-robot system in aircraft painting application. The problem can be described as fully-connected graph, whose nodes edges represent stations trajectories between stations, respectively. aim is to minimize the maximum execution time of with multiple robots. Traditional methods cannot handle mutual collision avoidance...
Wind speed forecasting is significant to the security and stability of electric power system. Aiming forecast wind more efficiently, a hybrid method based on empirical mode decomposition(EMD) time-series analysis has been presented in this paper. Employing EMD technique decompose original data into residue many intrinsic function(IMF) components, which represent oscillation modes embedded data. Afterwards each IMF modeled forecasted using analysis, so does residue. The value for decomposed...
Online social networking platforms have become a popular channel of communications among people. However, most people can only keep in touch with limited number friends. This phenomenon results low-connectivity network terms communications, which is inefficient for information propagation and engagement. In this paper, we introduce new recommendation service, called link revival, that suggests users to re-connect their old friends, such the resulted connection will improve connectivity. To...
Abstract Reducing the width of safe coal pillar near geological structures, such as a water-conducting fault, to improve extraction ratio seam is major concern that needs be addressed urgently for mining shallow resources in China. To tackle contradiction between improving and disaster caused by reducing waterproof pillar, this study focuses on retaining (rock) fault proposes novel method calculating waterproofing precisely. We consider different location relationships confined aquifer seam,...
Three new neolignans, piperulins [corrected] A [1], B [2], and C [3], were isolated from Piper puberulum. Their structures relative stereochemistries determined spectral data the X-ray crystallographic analysis of 1. Compounds 1 3 inhibit specific platelet activating factor receptor binding with IC50 values 7.3 5.7 microM, respectively.
As a renewable and clean energy source, wind power is being widely utilized all over the world. The uncertainty of speed, however, makes certain trouble for development generation. In order to relieve disadvantageous impact speed intermittence on connected system, forecasting needs be carried out. this paper, method based RBF neural network proposed. which, influence dataset construct accuracy researched. simulation results show that improved by performing reconstruction. And it proved...
The doubly fed induction generator (DFIG) is investigated. Its mathematical model under d-q axis deduced. According to 2MW mainstream DFIG actual parameters the chaotic behaviors are demonstrated appear in a certain range of parameter values or working conditions. Based on active control method, an sliding mode controller designed, which enables systems be stablized arbitrary initial stability controlling method analyzed by Lyapunov theorem. Finally, numerical results presented for system....
To ensure trajectory tracking accuracy and driving safety, this paper presents a real time nonlinear model predictive control (NMPC) method for autonomous guided vehicles (AGVs) to avoid dangerous load transfer effect in carrying heavy equipment. The AGV with four-wheel-steering four-wheel-driving (4WS4WD) structure is controlled steer velocity input each wheel. problem implemented by the standard NMPC framework referenced planned Reeds-Shepp algorithm. A Large creates considerable which...
Understanding social tie development among users is crucial for user engagement in networking services. In this paper, we analyze the interactions, both online and offline, of investigate their ties using data trail ‘how grow’ left mobile To best our knowledge, first research attempt on studying by considering offline interactions a heterogeneous yet realistic relationship. study, aim to answer three key questions: (i) there correlation between interactions? (ii) how developed via...