- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Advancements in Battery Materials
- Wireless Communication Security Techniques
- Advanced Battery Materials and Technologies
- Advanced Wireless Communication Technologies
- Advanced Battery Technologies Research
- Satellite Communication Systems
- Millimeter-Wave Propagation and Modeling
- Anomaly Detection Techniques and Applications
- Thermal Expansion and Ionic Conductivity
- Wireless Body Area Networks
- Antenna Design and Optimization
- Human Pose and Action Recognition
- Hand Gesture Recognition Systems
- Nematode management and characterization studies
- Advanced Wireless Communication Techniques
- Sepsis Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Click Chemistry and Applications
- Caching and Content Delivery
- Cassava research and cyanide
- Advanced battery technologies research
- Bee Products Chemical Analysis
- Phytochemistry and biological activity of medicinal plants
Purple Mountain Laboratories
2021-2025
Collaborative Innovation Center of Chemistry for Energy Materials
2023-2024
Tan Kah Kee Innovation Laboratory
2023-2024
Xiamen University
2023-2024
The Seventh Affiliated Hospital of Sun Yat-sen University
2024
Sun Yat-sen University
2024
National Taiwan University
2023
Jiangxi Academy of Agricultural Sciences
2017-2023
Southeast University
2016-2022
Beijing University of Chinese Medicine
2022
Abstract All‐solid‐state Li–S batteries (ASSLSBs) have exhibited great promise as next‐generation energy storage systems due to the elimination of shuttle effect and flammability. However, low reactivity sulfur poor solid–solid contact in composite cathode result limited electrochemical performances. Here, a Co‐N 4 ‐decorated carbon is prepared by direct ball milling serves host for ASSLSBs. The uniform distribution can effectively accelerate redox conversion inhibit agglomeration particles...
Abstract All‐solid‐state lithium–sulfur batteries (ASSLSBs) are expected to be the next generation of high‐energy battery systems due their long lifespan and high safety. However, unstable interfaces between elemental sulfur, conductive carbon, solid electrolytes lead slow charge transport mechanical failures, thereby limiting performance. Herein, atomic layer deposition‐derived lithium phosphorus oxide is applied surface carbon/sulfur particles enhance interfacial stability sulfur cathode...
The deposition/stripping behavior of lithium metal is intriguing, and the associated formation inactive at various temperatures remains elusive, which hinders practical application batteries. Here, utilizing variable-temperature operando solid-state nuclear magnetic resonance (SS NMR) technique, we reveal temperature effects on microstructure evolution in a carbonate-based electrolyte system. In addition, mass spectrometry titration (MST) method used to quantify components, including dead...
Large-scale molecular dynamics simulations reveal the formation mechanism and structure of solid electrolyte interphase between lithium metal β-Li 3 PS 4 in all-solid-state batteries.
Abstract Developing anode‐free batteries is the ultimate goal in pursuit of high energy density and safety. It more urgent for sodium (Na)‐based due to its inherently low safety hazards induced by highly reactive Na metal anodes. However, there no electrolyte that can meet demanding plating‐stripping Coulomb efficiency (CE) while resisting oxidative decomposition at voltages building stable batteries. Here, a “liquid‐in‐solid” design strategy proposed integrate target performances liquid...
This paper investigates secure cooperative transmissions in a dual-hop MIMO relay system using combined transmit antenna selection (TAS) and maximal-ratio combining (MRC) scheme over the Nakagami-m fading channels, where an adaptive decode-and-forward relaying protocol multi-antenna eavesdropper are considered. Due to feedback delay, channel state information (CSI) for TAS might be outdated at both source relay. To evaluate secrecy performance of TAS/MRC impacts CSI, closed-form expressions...
Background: Early identification of high-risk groups children with sepsis is beneficial to reduce mortality. This article used artificial intelligence (AI) technology predict the risk death effectively and quickly in pediatric intensive care unit (PICU). Study Design: retrospective observational study was conducted PICUs First Affiliated Hospital Sun Yat-sen University from December 2016 June 2019 Shenzhen Children’s January July 2020. The were divided into a group survival group. Different...
This letter investigates the downlink integrated low earth orbit (LEO) satellite-terrestrial millimeter-wave decode-and-forward relay network, where satellite and terrestrial relays locate in uniform distribution over spherical cap surface of LEO Poisson point process ground, respectively. In order to obtain fine-grained information on coverage performance, meta (MD) signal-to-interference-to-noise ratio (SINR) is adopted for network performance evaluation, which provides probability that...
Abstract All‐solid‐state lithium‐sulfur batteries (ASSLSBs) have garnered widespread attention due to their advantages of high energy density and enhanced safety. However, the typical composite structure composed solid‐state electrolyte (SE), discrete conducting carbon black, microsized sulfur (μ‐S) with long‐range Li + /e − path huge volume changes, suffers from sluggish charge transport severe electrochemical‐mechanical failure. In this work, a unique hierarchical nanocage (hCNC) is...
Hybrid heterogeneous cellular networks (HCNets) with sub-6G and millimeter-wave (mmWave) base stations (BSs) achieves good performance-and-cost tradeoffs. Via noticing the negligible retrieving latency potential joint transmission (JT) gain of BSs, we propose a novel cache-enabled user association scheme for hybrid HCNets limited local storage, in which partial storage caches contents relatively low popularity higher overall content diversity. To sufficiently exploit large bandwidth mmWave...
The graph convolutional networks (GCNs) have been applied to model the physically connected and non-local relations among human joints for 3D pose estimation (HPE). In addition, purely Transformer-based models recently show promising results in video-based HPE. However, single-frame method still needs because feature representations transformed only by global via Transformer neglect information on skeleton. To deal with this problem, we propose a novel which encoder GCN blocks are...
Superoxide dismutase (SOD) is a crucial metal-containing enzyme that plays vital role in catalyzing the dismutation of superoxide anions, converting them into molecular oxygen and hydrogen peroxide, essential for enhancing plant stress tolerance. We identified 8 SOD genes (4 CSODs, 2 FSODs, MSODs) cassava. Bioinformatics analyses provided insights chromosomal location, phylogenetic relationships, gene structure, conserved motifs, ontology annotations. MeSOD were classified two groups through...
In recent years, the domestic and international trade volumes of Chinese medicinal materials (CMMs) keep increasing. By end 2019, total amount exported CMMs reached as high US $1.137 billion, while imported was $2.155 billion. A stable controllable quality system apparently becomes most important issue, which needs multifaceted collaboration from harvesting at a proper season to storing temperature. However, due imperfect storage conditions, different kinds deteriorations are prone occur,...
This paper investigates the secrecy performance of cognitive decode-and-forward (DF) relay networks with multiple primary users (PUs) receivers, one secondary user (SU) source, SU relays, destination and eaves-dropper over Nakagami-m fading channels. The opportunistic selection transmission strategy is employed to enhance security performance. We also consider joint impact maximum transmit power at source relays peak interference temperature PU receivers. To analyze this network, exact...
Millimeter wave (mmWave) is a promising future wireless communication technology. To overcome the high path loss in mmWave band, distributed antenna systems (DASs) with each base station (BS) connecting to multiple remote radio units (RRUs) candidate solution. better characterize small-scale fading of channels, fluctuating two-ray (FTR) was recently proposed. In this letter, we study performance RRU selection DASs over FTR fading. First, simplified closed-form expressions are, respectively,...
This paper investigates transmit antenna selection (TAS) to improve the secrecy performances in MIMO secure cooperative relay systems with an adaptive decode-and-forward (DF) over Nakagami-m fading channels. Due feedback delay of CSI used for TAS, maximal ratio combining (MRC) receiver at multi-antenna and destination suffers from outdated channel state information (CSI). To evaluate impacts TAS on performance, closed-form expressions exact outage probability (SOP) are derived based a error...
Satellite communication plays an important role in future wireless network. In this article, we investigate the outage performance of integrated satellite-terrestrial relay network (ISTRN) with selection based adaptive decode-and-forward (RSADF), where is on outdated channel state information (CSI), and multiple-antenna relays conduct maximum-ratio receiving transmitting for decoding forwarding, respectively. Particularly, first obtain a novel closed-form expression probability considered...
In this paper, we consider robust joint access point (AP) clustering and beamforming design with imperfect channel state information (CSI) in cell-free systems. Specifically, jointly optimize AP CSI to simultaneously maximize the worst-case sum rate minimize number of under power constraint sparsity clustering. By transformations, semi-infinite constraints caused by are converted into more tractable forms for facilitating a computationally efficient unsupervised deep learning algorithm....
In this paper, we consider real-time beamforming design for dynamic wireless environments with varying channels and different numbers of access points (APs) users in cell-free systems. Specifically, a sum-rate maximization optimization problem is formulated the To efficiently solve it, high-generalization network (HGNet) proposed to adapt changing APs users. Then, module also designed HGNet extract valuable features channels, theoretically prove that such able reduce upper bound...