A5078142690- Tribology and Wear Analysis
- Silicone and Siloxane Chemistry
- Privacy-Preserving Technologies in Data
- Diamond and Carbon-based Materials Research
- Fiber-reinforced polymer composites
- Polymer Nanocomposites and Properties
- Geothermal Energy Systems and Applications
- Heat Transfer and Optimization
- Privacy, Security, and Data Protection
- Complex Network Analysis Techniques
- Polymer composites and self-healing
- Advanced ceramic materials synthesis
- Geomechanics and Mining Engineering
- Advanced Sensor and Energy Harvesting Materials
- Opinion Dynamics and Social Influence
- Phase Change Materials Research
- Polymer Foaming and Composites
- Neurogenesis and neuroplasticity mechanisms
- Smart Materials for Construction
- Internet Traffic Analysis and Secure E-voting
- Building Energy and Comfort Optimization
- Regulation of Appetite and Obesity
- Solar Thermal and Photovoltaic Systems
- Neuroinflammation and Neurodegeneration Mechanisms
- Misinformation and Its Impacts
Sichuan University
2021-2023
Beihang University
2022-2023
Donghua University
2023
Southeast University
2022
Wuhan University of Technology
2009
Adolescence is a developmental epoch characterized by massive neural circuit remodeling; thus, the brain particularly vulnerable to environmental influences during this period. Excessive high-fat diet (HFD) consumption, which very common among adolescents, has long been recognized as potent risk factor for multiple mood disorders, including depression and anxiety. However, precise mechanisms underlying of HFD consumption in adolescence on emotional health are far from clear. In present...
It is attractive and realistic to construct deformable, recyclable, high-performance adaptive structural materials. In this paper, a novel method was presented improve the deformability of traditional epoxy resins by topological design at molecular level. Conformational transformation cross-linked networks facilitated grafting rigid side groups onto backbone, which can also be achieved in multicomponent with low group concentration. The conformational evolution enables achieve multiple...
Abstract The strength of the ceramic layer formed during ablation silicone rubber composite is closely related to its resistance ablation. Increasing content graphitic carbon in plays a key role enhancing layer. In this study, series catalytically graphitized mesophase pitch‐modified composites with excellent performance are prepared. And average linear rate reduced maximum 0.046 mm s ‐1 , which 44.0% lower than that sample without catalyst named 5MP. XRD characterization proves addition...
In traditional centralized Android malware classifiers based on machine learning, the training sample uploaded by users contains sensitive personal information, such as app usage and device security status, which will undermine privacy if used directly server. Federated-learning-based have attracted much attention due to their privacy-preserving multi-party joint modeling. However, research shows that indirect inferences from curious central servers threaten this framework. We propose a risk...
A series of high comprehensive performance composite phase-change materials (PCMs) were designed and prepared by a physical blending evaporation method. Cellulose nanofibers (CNF) introduced as supporting to keep the shape polyethylene glycol (PEG) stable during process, expanded graphite (EG) was used synergize with PEG enhance infrared thermal stealth performance. The structure–property relationships PCMs investigated means various characterization techniques. CNF30/PEG69/EG1 exhibited...
Due to the popularity of social media, rumors spread rapidly on network, which has been damaging public trust system and stability. In recent years, research rumor monitoring early warning attracted much researchers' attention. order make full use network interaction information, researchers this information enhance tweets text improve performance monitor. However, most these methods have obtain static complete structures before their algorithms work, while nodes edges are constantly...
In this paper the random properties of ground-source heat pump (GSHP) system. GSHP buried pipe to Kelvin one-dimensional line source transfer model are discussed. The randomness is analyzed, and excess temperature field, space-time statistics correlation features studied. calculation results show that, in obviously have relationship with distance from center run time system, also between pipes can not be ignored. method has great significance for improving reliability design theory reducing...