A5100942592- Software-Defined Networks and 5G
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Polymer Nanocomposites and Properties
- Advanced Sensor and Energy Harvesting Materials
- Advanced Computational Techniques and Applications
- Silicone and Siloxane Chemistry
- Cancer Immunotherapy and Biomarkers
- CO2 Reduction Techniques and Catalysts
- Network Traffic and Congestion Control
- Polymer composites and self-healing
- Advanced Graph Neural Networks
- Supercapacitor Materials and Fabrication
- Extracellular vesicles in disease
- Ginger and Zingiberaceae research
- Peptidase Inhibition and Analysis
- Supramolecular Self-Assembly in Materials
- Health and Wellbeing Research
- Advanced Memory and Neural Computing
- Advanced Polymer Synthesis and Characterization
- Cancer Genomics and Diagnostics
- AI in cancer detection
- MXene and MAX Phase Materials
- Animal Nutrition and Physiology
- Educational Technology and Assessment
Yale University
2024-2025
China Medical University
2022-2025
Liaoning Cancer Hospital & Institute
2022-2025
Northwest A&F University
2023-2025
Chinese Academy of Sciences
2015-2025
Dalian Institute of Chemical Physics
2023-2025
Xi'an Jiaotong University
2024
Shenzhen Technology University
2024
Université Paris-Saclay
2024
Université Paris-Sud
2018-2024
Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially represented as graphs (e.g., chemistry, biology, and recommendation systems). In this vein, communication comprise many fundamental components that are naturally a graph-structured manner topology, routing, signal interference). This position article presents GNNs tool for modeling, control, management of networks. represent new generation data-driven models can accurately learn reproduce the...
The proliferation of emergent network applications (e.g., AR/VR, telesurgery, real-time communications) is increasing the difficulty managing modern communication networks. These typically have stringent requirements ultra-low deterministic latency), making it more difficult for operators to manage their resources efficiently. In this article, we propose Digital Twin Network (DTN) as a key enabler efficient management in We describe general architecture DTN and argue that recent trends...
Introduction Currently, the anti-oxidation of active ingredients in mulberry leaves (MLs) and their forage utilization is receiving increasing attention. Here, we propose that MLs supplementation improves oxidative resistance immunity. Methods We conducted a trial including three groups growing mutton sheep, each fermented (FMLs) feeding, dried (DMLs) feeding or normal control without MLs. Results Transcriptomic metabolomic analyses revealed promoting enhancing disease attributed to improved...
Abstract Immunotherapy has become a prominent first-line cancer treatment strategy. In non-small cell lung (NSCLC), the expression of PD-L1 induces an immuno-suppressive effect to protect cells from immune elimination, which designates as important target for immunotherapy. However, little is known about regulation mechanism and function in cancer. this study, we have discovered that KEAP1 serves E3 ligase promote ubiquitination degradation. We found overexpression suppressed tumor growth...
<bold>trans-Cn-Chol</bold> present smectic A phase and photo-responsive SmA–isotropic transition, their organogels exhibit aggregation-induced emission gel–sol transition.
Multiple primary lung cancers (MPLCs) pose diagnostic and therapeutic challenges in clinic. Here, we orchestrated the cellular spatial architecture of MPLCs by combining single-cell RNA-sequencing transcriptomics. Notably, identified a previously undescribed sub-population epithelial cells termed as CLDN2+ alveolar type II (AT2) which was specifically enriched MPLCs. This subtype observed to possess relatively stationary state, play critical role communication, aggregate spatially tumor...
Abstract The direct utilization of dissolved inorganic carbon in seawater for CO 2 conversion promises chemical production on-demand and with zero footprint. Photoelectrochemical (PEC) reduction (CO R) devices promise the sustainable to products using sunlight as only energy input. However, diffusion-dominant transport mechanism near-zero concentration (aq) aqueous solution) static has made it extremely challenging achieve high solar-to-fuel (STF) efficiency carbon-product selectivity. Here,...
Mulberry leaves, a traditional Chinese medicine with the values of and food, are rich in various active ingredients nutrients. Gastrointestinal bacteria recognized to play crucial role food digestion, nutrient metabolism host immune health. However, modulations mulberry leaves on microbiota metabolites remain insufficiently understood. In this study, feeding experiment was conducted involving three groups growing mutton sheep: one fed dried another fermented without (as control), afterwards,...
<title>Abstract</title> <bold>Background and Objectives </bold>In recent years, the role of neutrophil extracellular traps (NETs) in tumor microenvironment has garnered increasing attention, yet their relationship with esophageal squamous cell carcinoma (ESCC) remains poorly understood. Additionally, interplay between gut microbiota immune may influence progression ESCC. This study aims to investigate diagnostic value NETs-related markers (CitH3, MPO, NE) ESCC patients, correlation clinical...
Abstract A series of aggregation‐induced emission (AIE) fluorescent gelators (TPE‐C n ‐Chol) were synthesized by attaching tetraphenylethylene (TPE) to cholesterol through an alkyl chain. The properties the gel, nano‐/microaggregate, and condensed phases studied carefully. TPE‐C ‐Chol molecules form AIE gels in acetone DMF. Their fluorescence can be reversibly switched between “on” “off” states a gel–sol phase transition upon thermal treatment. aggregated nano‐/microstructures acetone/water...
Abstract The influence of environmental factors like smoking and alcohol on myopia astigmatism is controversial. However, due to ethical concerns, alternative study designs are urgently needed assess causal inference, as mandatory exposure cigarettes unethical. Following comprehensive screenings, 326 single nucleotide polymorphisms (SNPs) related were included in the dataset. To validate association between exposures such cigarette smoking, consumption, coffee intake, outcomes namely myopia,...
The improvement of battery management systems (BMSs) requires the incorporation advanced status detection technologies to facilitate early warnings abnormal conditions. In this study, acoustic data from batteries under two discharge rates, 0.5 C and 3 C, were collected using a specially designed test system. By analyzing selected parameters in time domain, signals exhibited noticeable differences with change current, highlighting potential for current anomaly detection. frequency domain...
Irradiation crosslinked triple-SMPs of PP/LDPE blends with co-continuous structures.
Polymer blending strategy has demonstrated to be efficient in enhancing the capacitive performance of dielectric polymers represented by poly(vinylidene fluoride) (PVDF). Special attention is paid polymeric reinforcements which are miscible with PVDF. Immiscible for PVDF based blends rarely reported because interfacial compatibility issue. In this work, we aimed explore possibility immiscible component polypropylene (PP) modulating A two-step fabrication process and polydopamine...
Studies on the application of deep learning image reconstruction (DLIR) in pediatric computed tomography (CT) are limited and have so far been mostly based phantom. The purpose this study was to compare quality radiation dose DLIR with that adaptive statistical iterative reconstruction-Veo (ASiR-V) during abdominal chest CT for population.A phantom used pilot study, 20 children were recruited clinical verification. preset scan parameter noise index (NI) 5, 8, 11, 13, 15, 18 8 13 study. We...
The polar phase of PVDF nanowires was improved significantly with the modified AAO templates using a solution wetting method.
Silicon (Si) is considered an ideal candidate for the next generation of lithium-ion batteries owing to its high specific capacity, low lithiation/delithiation potential, and abundance.