A5100382959- Advanced Neural Network Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Anesthesia and Pain Management
- Adversarial Robustness in Machine Learning
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Opioid Use Disorder Treatment
- Brain Tumor Detection and Classification
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Pain Management and Opioid Use
- Software Testing and Debugging Techniques
- Blockchain Technology Applications and Security
- Digital Marketing and Social Media
- Traditional Chinese Medicine Analysis
- Advanced Image Processing Techniques
- Cardiac, Anesthesia and Surgical Outcomes
- Nuclear Physics and Applications
- Image Enhancement Techniques
- Recommender Systems and Techniques
- Cell Image Analysis Techniques
- Medical Imaging Techniques and Applications
Jiangsu University of Science and Technology
2025
Xi'an Jiaotong University
2025
West China Medical Center of Sichuan University
2022-2025
The University of Sydney
2020-2024
Northwest Institute of Nuclear Technology
2024
University of Malaya
2024
Hong Kong Polytechnic University
2024
Beijing Institute of Graphic Communication
2024
Nanjing University
2024
Nanjing General Hospital of Nanjing Military Command
2024
This paper reviews the NTIRE 2023 challenge on image super-resolution (×4), focusing proposed solutions and results. The task of (SR) is to generate a high-resolution (HR) output from corresponding low-resolution (LR) input by leveraging prior information paired LR-HR images. aim obtain network design/solution capable produce high-quality results with best performance (e.g., PSNR). We want explore how high we can achieve regardless computational cost model size FLOPs) data. track was measure...
The advent of the Bitcoin system has brought another boom in Internet era. In a very short time, many Blockchain systems come into being successively, whose decentration, consensus mechanisms, intelligent contract, and other characteristics make them applicable to various fields such as finance, education, medical, technology, etc. mechanism is core technology. And good plays important role stable operation system. continuous improvement mechanisms PoW (proof-of-work), PoS (proof-of-stake),...
The effective enrichment and recovery of rare earth elements (REEs) from wastewater holds significant practical value for both the sustainable utilization REEs restoration ecological environments. In this study, magnetic zeolite was successfully synthesized by using tailings (RET) as raw material, with addition Fe3O4 to introduce a phase. Th exhibits high crystallinity, excellent thermal stability, substantial specific surface area 483.8 m2/g, rapid adsorption kinetics. maximum capacities...
In recent years, metal–organic frameworks (MOFs) have garnered significant attention as highly efficient catalysts for CO2 photoreduction, owing to their unique electronic configurations and exceptional adsorption properties. This review provides a comprehensive analysis of advancements in the design, synthesis, application MOF-based photocatalysts reduction. Following concise overview fundamental properties MOF materials, focuses on pure MOFs, highlighting structural functional roles metal...
To the Editor: Transparency is acknowledged to be crucial for improvement of interdisciplinary research quality and reproducibility. The International Committee Medical Journal Editors (ICMJE) has introduced requirements prospective registration, reporting results data sharing make trial registration in public databases a standard practice.[1,2] systematic reviews can also evaluated from schemes and/or publicly available protocols. However, no framework exists evaluation transparency...
This study explores an innovative approach to integrating modern technology with traditional culture by replacing human performers clusters of intelligent unmanned vehicles in the Chinese Lunar New Year bench dragon dance. The primary technical challenge lies addressing motion control issues vehicle moving along and out Archimedean spiral trajectory, where forces constraints acting on during spiral-in spiral-out processes are symmetrically distributed. To this end, a geometric–analytical...
Previous studies have found that neural functional abnormalities detected by magnetic resonance imaging (fMRI) in brain regions implicated reward processing during tasks show promise to distinguish bipolar from unipolar depression, but little is known regarding resting-state connectivity (rsFC) within circuit. In this study, we investigated neurobiomarkers for early recognition of disorder (BD) retrospectively comparing rsFC circuit between depression (UD) and depressed BD. Sixty-six...
Contemporary scientific media production requires a complex socio-technical infrastructure we call the "Media Production Pipeline" (MPP). Media professionals engage with researchers along MPP to disseminate science news lay public. However, differing incentive structures and professional contexts frequently set researchers' values needs at odds those of professionals, resulting in problematic or failed interactions. We ask research question: what pain points afford opportunities for future...
The objective of this study is to evaluate the efficacy deep learning (DL) techniques in improving quality diffusion MRI (dMRI) data clinical applications. aims determine whether use artificial intelligence (AI) methods medical images may result loss critical information and/or appearance false information. To assess this, focus was on angular resolution dMRI and a trial conducted migraine, specifically between episodic chronic migraine patients. number gradient directions had an impact...
Comprehensive evaluation of Citri Reticulatae Pericapium quality by HPLC, UV and antioxidant activity.
This paper aims to understand the self-organization phenomenon among workers of Amazon Mechanical Turk (MTurk), a well-known crowdsourcing platform. Specifically, we explored 1) why MTurk self-organize into online communities (Turker communities), and 2) how workers' impacts requesters 3) workers. In first study, conducted field experiment by advertising same survey tasks on both Turker communities. second interviewed two founders The results suggest that main motivation participate in is...
The recommendation systems have been widely employed due to the effectiveness on mitigating information overload issue. At present, made great progress, but they are under threat of shilling attack because their open nature. Shilling is way by which attackers can manipulate results and cause harm systems. Existing detection models mainly based statistical measures extract features like rating deviation, generally susceptible strategies. Once attacker changes strategy, model method may fail....