A5027946382- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Advanced Battery Materials and Technologies
- Image Processing Techniques and Applications
- Conducting polymers and applications
- Image and Signal Denoising Methods
- Advanced battery technologies research
- Advancements in Battery Materials
- Advanced Sensor and Energy Harvesting Materials
- Supercapacitor Materials and Fabrication
- Wireless Networks and Protocols
- Image Enhancement Techniques
- Corrosion Behavior and Inhibition
- Advanced Memory and Neural Computing
- Surface Modification and Superhydrophobicity
- Face recognition and analysis
- Electrochemical sensors and biosensors
- Advanced Battery Technologies Research
- Advanced MIMO Systems Optimization
- Maternal Mental Health During Pregnancy and Postpartum
- Cancer-related gene regulation
- Behavioral Health and Interventions
- Perfectionism, Procrastination, Anxiety Studies
- Lung Cancer Diagnosis and Treatment
- Polymer composites and self-healing
Beijing Forestry University
2024
Chinese Academy of Sciences
2021-2024
Meizhou City People's Hospital
2023-2024
Technical Institute of Physics and Chemistry
2021-2024
University of Chinese Academy of Sciences
2022-2024
Guilin University of Technology
2024
Shenzhen University
2022-2023
Sun Yat-sen University
2020-2023
Northwest Normal University
2022-2023
Southwest Jiaotong University
2023
Coulombic efficiency (CE) and cycle life of metal anodes (lithium, sodium, zinc) are limited by dendritic growth side reactions in rechargeable batteries. Here, we proposed a concept for constructing an anion concentration gradient (ACG)-assisted solid-electrolyte interphase (SEI) ultrahigh ionic conductivity on anodes, which the SEI layer is fabricated through situ chemical reaction sulfonic acid polymer zinc (Zn) metal. Owing to driving force sulfonate high bulky concentration, promoted...
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus proposed solutions and results.The task was to super-resolve an input image a magnification factor ×16 based set of prior examples low corresponding high resolution images.The goal is obtain network design capable produce results best quality similar ground truth.The track had 280 registered participants, 19 teams submitted final results.They gauge state-of-the-art in single superresolution....
This paper reviews the NTIRE 2021 challenge on learning super-Resolution space. It focuses participating methods and final results. The addresses problem of a model capable predicting space plausible super-resolution (SR) images, from single low-resolution image. must thus be sampling diverse outputs, rather than just generating SR goal is to spur research into developing formulations models better suited for highly ill-posed problem. And thereby advance state-of-the-art in broader field. In...
Abstract Various physical and chemical reaction processes occur in non‐aqueous liquid systems, particularly oil phase systems. Therefore, achieving efficient, accurate, controllable, cost‐effective movement transfer of substances the is crucial. Liquid‐phase photothermal actuators (LPAs) are commonly used for material transport liquid‐phase systems due to their remote operability precise control. However, existing LPAs typically rely on materials like hydrogels flexible polymers, unsuitable...
In recent years, the rapid development of electric vehicles, smart grids, and portable electronic devices have given a boost to energy storage represented by rechargeable batteries. Seeking for reliable security, cost‐effectiveness, especially high density batteries is crucial demand. The key improve adopting theoretical capacity electrodes or reducing content nonredox components. Unfortunately, some problems such as poor cycle stability low rate performance caused conductivity unstable...
Deep neural networks have achieved remarkable success in single image super-resolution (SISR). However, most cases, SR with different scale factors is considered as tasks and solved by training specific models. It makes the applications inefficient tedious. Hence, to tackle these problems, we propose a lightweight fast network (MSWSR) implement multi-scale simultaneously learning multi-level wavelet coefficients of target image. The proposed composed one CNN part RNN part. used for...
Due to the significant development of deep learning (DL) techniques, recent advances in super-resolution (SR) field have achieved a great performance. While seeking for better performance, later proposed networks prone be deeper and heavier, which limits applications SR algorithms resource-constrain devices. Some rely on recurrent/recursive reduce number network parameters, however, they ignore caused long inference time, since more recurrences/recursions are involved, longer time needs. To...
Aqueous sodium-ion batteries recently have been widely and deeply studied in the energy field due to their prominent advantages such as high safety, low cost environmental friendliness.Remarkable progresses of aqueous gradually encourage process industrialization.However, compared with organic secondary ion batteries, development is limited by narrow stable voltage window electrolyte poor cycle stability electrode material.How solve these problems still key batteries.The latest developments...
Gas sensors based on conducting polymers offer great potential for high-performance room temperature applications due to their cost-effectiveness, high-sensitivity, and operational advantage. However, current performance is limited by the deficiency of control in conventional polymerization methods, leading poor crystallinity inconsistent material properties. Here, quasi-liquid layer (QLL) ice surface acts as a self-regulating nano-reactor precise thermodynamics kinetics polymerization,...
The spatial distribution and seasonal variation in heavy metal pollution road dust Liuzhou, China, were investigated. Road samples collected during both drought wet periods, the concentrations of nine metals—Cr, Ni, Cu, Pb, Zn, Cd, As, Sb, Hg—were analyzed. analysis showed that all metals higher than background values Chinese urban soils mean contents dry period those period, except for Cd. In assessment dust, results Igeo Cd Hg significant; NI Cr Ni more significant. shows industrial...
Background: The family environment is essential for elementary school children’s development. With smartphone penetration into all aspects of people’s lives, how parenting affects behavior may show new patterns. Objective: This study constructed a mediated moderation model, focusing on the mediating role child self-control and parental phubbing to clarify relationship between helicopter (over-parenting) procrastination its mechanisms. Methods: Smartphone Addiction Scale Chinese Adults, Brief...
The widespread use of and dependence on smartphones has resulted in spousal marital satisfaction being affected by partner phubbing behavior. We investigated the mediating effect link between self-control for both actors partners. used Smartphone Addiction Scale Chinese Adults, Self-Control Scale, Olson Enrich Marital Inventory to assess 676 couples with at least one child. Self-control had a significantly positive correlation satisfaction, spouses' partially mediated relationship...
Abstract High‐capacity electrochemical energy storage systems are more urgently needed than ever before with the rapid development of electric vehicles and smart grid. The most efficient way to increase capacity is develop electrode materials low molecular weights. low‐cost metal halides theoretically ideal cathode due their advantages high redox potential. However, cubic structure large barrier for deionization impede rechargeability. Here, reversibility potassium halides, lithium sodium...
Abstract Background A tracheal foreign body is a common airway aspiration that creates an emergency, which often causes unobserved respiratory problems and requires management. Iatrogenic bodies are rarely observed, results in obstruction. If the were removed from tracheobronchial system, it would save lives. similar case of was focused on, caused by medical glue used during preoperative computed tomography localization pulmonary nodules. Case presentation The deposited right upper bronchi,...
Structural stability and electrochemical make titanium disulfide (TiS2) a promising cathode material for Li-metal battery. Building the good compatibility of electrolyte with TiS2 Li metal is key to improving performance TiS2-based battery, related tricky issues are unstable solid interphase (SEI) slow Li+ transportation kinetics. Here we design an lithium bis(fluorosulfonyl)imide (LiFSI) in methyl 2,2,2-trifluoroethyl carbonate (FEMC) On one hand, reduction LiFSI FEMC generates robust...
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus proposed solutions and results. The task was to super-resolve an input image a magnification factor 16 based set of prior examples low corresponding high resolution images. goal is obtain network design capable produce results best quality similar ground truth. track had 280 registered participants, 19 teams submitted final They gauge state-of-the-art in single super-resolution.
Electronic technology, based on signal conversion induced by voltage stimulation, is the core foundation of state-of-the-art intelligent devices, tools and equipment. Such conversions are often binary limited because they stimulated from only imposed voltage, making it difficult to meet needs many emerging frontier application scenarios. Here, reduced graphene oxide/polypyrrole (rGO/PPy) two-dimensional ordered conjugated system has been developed, then multi-stimulus response adapter...
<title>Abstract</title> <bold>Background</bold> Esophageal squamous cell carcinoma (ESCC) prognosis is closely associated with lymph node density (LND). The identification of biomarkers and regulatory mechanisms influencing LND could enhance our understanding ESCC progression inform therapeutic strategies.<bold>Methods</bold> This study analyzed 8,716 esophageal cancer patients to determine the prognostic significance LND. Univariate multivariate Cox regression analyses were performed assess...