CONCLUSION: Modified LSC transplantation combined with BCL implantation provided superior treatment outcomes for patients with pterygium, which was worthy of further clinical promotion. →
Purpose The purpose of this study was to investigate the potential of cognitive-behavioral therapy-based sports game intervention in enhancing empathy abilities among children with intellectual developmental disorder. Methods Thirty-one children aged 7-8, diagnosed with intellectual developmental disorder and attending mainstream schools, were enlisted for this study. They were randomly allocated to either the experimental group… →
Retinitis pigmentosa (RP) is characterized by progressive photoreceptor cells death accelerated by the proliferation and activation of microglia pathologically. No consensus exists on the treatment. Minocycline is recognized as a microglia inhibitor with great anti-inflammatory and neuro-protective functions. However, efficacy of minocycline in RP patients is lacking. We conducted a prospective, open-label, and single-arm trial,… →
In the evolving landscape of artificial intelligence, language models are becoming increasingly integral to a variety of applications, from customer service to real-time data analysis. One key challenge, however, remains: preparing documents for ingestion into large language models (LLMs). Many existing LLMs require specific formats and well-structured data to function effectively. Parsing and transforming different… →
Large Language Models (LLMs) are advanced AI systems trained on large amounts of data to understand and generate human-like language. As large language models (LLMs) increasingly integrate into vehicle navigation systems, it is important to understand their path-planning capability. In early 2024, many car manufacturers integrated AI-powered voice assistants into their vehicles, including infotainment control,… →
OpenCV (Open Source Computer Vision Library) is one of the most widely used libraries for image and video processing. It’s a powerful tool for both beginners and professionals, providing capabilities that are essential for tackling a wide range of computer vision tasks, from facial recognition to object tracking. This library is used in various industries,… →
Microsoft has released MatterSimV1-1M and MatterSimV1-5M on GitHub, cutting-edge models in materials science, offering deep-learning atomistic models tailored for precise simulations across diverse elements, temperatures, and pressures. These models, designed for efficient material property prediction and atomistic simulations, promise to transform the field with unprecedented speed and accuracy. MatterSim models operate as a machine learning… →
Search and information retrieval have evolved beyond simply finding content—they are now crucial for business efficiency and productivity. Companies often rely on search capabilities for customer support, research, and business intelligence. However, traditional search models often struggle to effectively understand user intent, leading to inaccurate, irrelevant, or incomplete search results. These shortcomings can leave users… →
Contrastive language-image pretraining has emerged as a promising approach in artificial intelligence, enabling dual vision and text encoders to align modalities while maintaining dissimilarity between unrelated embeddings. This innovative technique has produced models with remarkable zero-shot transfer capabilities, demonstrating significant potential in complex computational tasks. However, large-scale pretraining encounters challenges in out-of-distribution generalization when downstream… →