A5100431077- Topic Modeling
- Natural Language Processing Techniques
- Ophthalmology and Visual Impairment Studies
- Geochemistry and Geologic Mapping
- Machine Learning and ELM
- Corneal surgery and disorders
- Linguistic Education and Pedagogy
- Multimodal Machine Learning Applications
- Sociology and Education Studies
- Optical Imaging and Spectroscopy Techniques
- Electricity Theft Detection Techniques
- Imbalanced Data Classification Techniques
- Fault Detection and Control Systems
- Housing Market and Economics
- Photoacoustic and Ultrasonic Imaging
- Glaucoma and retinal disorders
- Energy, Environment, Economic Growth
- Retinal Diseases and Treatments
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Retirement, Disability, and Employment
- Anomaly Detection Techniques and Applications
- Environmental Impact and Sustainability
- Financial Literacy, Pension, Retirement Analysis
- Education Methods and Technologies
Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2025
Guang’anmen Hospital
2023-2025
Shandong First Medical University
2025
Shandong Provincial Hospital
2025
Dalian Maritime University
2022-2024
Heze University
2024
Tongji University
2022-2024
Zhejiang University
2019-2024
Dalian Polytechnic University
2023-2024
Federal Reserve Bank of Dallas
2022-2024
Large language models (LLMs) have demonstrated remarkable zero-shot generalization abilities: state-of-the-art chatbots can provide plausible answers to many common questions that arise in daily life. However, so far, LLMs cannot reliably solve long-horizon planning problems. By contrast, classical planners, once a problem is given formatted way, use efficient search algorithms quickly identify correct, or even optimal, plans. In an effort get the best of both worlds, this paper introduces...
An increasing number of consumer products include user interfaces that rely on touch input. While digital fabrication techniques such as 3D printing make it easier to prototype the shape custom devices, adding interactivity prototypes remains a challenge for many designers. We introduce Midas, software and hardware toolkit support design, fabrication, programming flexible capacitive sensors interactive objects. With designers first define desired shape, layout, type sensitive areas, well...
In order to improve the signal-to-noise ratio of hyperspectral sensors and exploit potential satellite data for predicting soil properties, we took MingShui County as study area, which area is approximately 1481 km2, selected Gaofen-5 (GF-5) image explore an applicable accurate denoising method that can effectively prediction accuracy organic matter (SOM) content. First, fractional-order derivative (FOD) processing performed on original reflectance (OR) evaluate optimal FOD. Second, singular...
Advanced artificial intelligence (AI) technologies are now widely employed in China's medical and healthcare fields. Enormous amounts of personal data collected from various sources inserted into AI algorithms for purposes, producing challenges to patient's privacy. This is a comparative study Chinese, United States, European Union operational rules that then used functions, particularly focusing on legal differences deficiencies. The conceptual boundaries privacy information, the influence...
Social media texts spontaneously produced and uploaded by the public contain a wealth of disaster information. As supplementary data source for remote sensing, they have played an important role in reduction emergency response recent years. However, social also has certain flaws, such as insufficient location information, etc. This affects efficiency combining these with sensing data. For flood disasters particular, extensively flooded areas limit distribution data, which makes it difficult...
Since the safe and reliable behavior of a Railway Switch Machine (RSM) is definitely pivotal for rail transportation, scholars engineers have studied considerable number algorithms RSM fault diagnosis via many kinds sensor information. However, yet to consider impact sensors' states on classification, which cannot be ignored in practical railway applications. To fill gap, we propose an end-to-end deep learning architecture named Fault Diagnosis Considering Sensor Abnormality Network...
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Inflammation is among the known causes of cisplatin-induced hearing loss (CIHL), but its exact pathophysiological mechanisms remain unclear. Herein, we demonstrated that pyroptosis—a recently identified inflammatory type regulated cell death dependent on gasdermin D (GSDMD)—was activated in cochleae cisplatin-treated mice, causing CIHL. Meanwhile, treatment with GSDMD inhibitor necrosulfonamide alleviated CIHL these mice. To further examine role GSDMD-mediated pyroptosis CIHL, conducted...
Developing a rapid and simple method for the detection of berberine chloride (BBC), one kind natural antibiotic, is significant to ensure reasonable control administration antibiotic residues in food other feed. In this report, sensitive selective fluorescent probe based on water-soluble perylene diimide derivative (PDI-Asp) has been screened (BBC). The sensing performance mechanism were systematically investigated by using UV–vis fluorescence spectroscopic techniques. Meanwhile, influencing...
Incorporating expert knowledge at the time machine learning models are trained holds promise for producing that easier to interpret. The main objectives of this study were use a feature engineering approach incorporate clinical prior applying techniques, and assess impact on model complexity performance. Four predict mortality with severe asthma case study. Experiments select fewer input features based discriminative score showed low moderate precision discovering clinically meaningful...
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize spread of COVID-19, and control its pitfalls for general public. Without such technologies, bringing pandemic under would been tricky slow. Consequently, exploration status, devising appropriate mitigation strategies also be difficult. this paper, we present comprehensive analysis community-beneficial that were employed fight pandemic. Specifically, demonstrate practical applications ten major...