Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services Background Introduction With the advent of the 6G mobile communication network, the traditional Internet of Things (IoT) architecture is gradually transforming into the new paradigm of the intelligent Internet of Everyth...

Research Breakthrough on Early Prediction of Pull Request Acceptance In recent years, open-source software (OSS) development has gradually become one of the mainstream software development models, heavily relying on collaboration among developers. The Pull Request (PR) mechanism, widely applied in distributed software development, improves collabor...

Analyzing the Complex Network of iOS App Store Recommendation Relationships Background Mobile applications (referred to as mobile apps) are a vital part of the modern Internet ecosystem. However, with the exponential growth in the number of mobile apps, it has become increasingly difficult for users to find desired apps in app stores and for develo...

Intersection of Data Privacy and Causal Learning: Breakthrough in Federated Local Causal Structure Learning With the rapid development of big data and artificial intelligence, analyzing and inferring causal relationships while ensuring data privacy in sensitive fields such as healthcare and finance has become a key challenge for academia and indust...

A Breakthrough in Mixed-Type Dialogue Generation: Few-Shot Learning Research One of the significant goals of Artificial Intelligence (AI) is to build agents capable of conducting multiple types of natural language dialogues. The industry and academia have long awaited the creation of dialogue models that can handle both open-domain dialogues and ta...

Research on an Asymmetric Dual-Task Co-Training Model for Improving Partial Label Learning in Deep Learning Research Background In the field of deep learning, supervised learning has become the core method for many artificial intelligence tasks. However, training deep neural networks often requires a massive amount of accurately labeled data, which...

A Novel GLUT1-Targeted Fluorescence Imaging Tracer: Advances in Intraoperative Breast Cancer Detection Background and Problem Statement Breast cancer is one of the most common malignancies among women worldwide, with an estimated 2.3 million new cases and approximately 666,000 deaths globally in 2022. Surgical treatment for breast cancer typically ...

A Novel Near-Infrared Fluorescence Imaging Study Targeting Hepatocellular Carcinoma (HCC) Hepatocellular carcinoma (HCC) ranks as the sixth most common malignancy and the third leading cause of cancer-related mortality worldwide. Statistics indicate that the postoperative recurrence rate of HCC reaches as high as 80%, with liver fibrosis or cirrhos...

Research Progress on Early Alzheimer’s Stages: Focusing on Differences Between Objective Subtle Cognitive Difficulties and Subjective Cognitive Decline Alzheimer’s disease (AD) is a critical topic in modern neuroscience and geriatric medicine research. Its pathological process begins years before the onset of clinical symptoms. Increasing evidence ...

The Application of Large Language Models in PET Imaging Reports: A Single-Center Pilot Study Combining Retrieval-Augmented Generation With the rapid development of artificial intelligence, large language models (LLMs) have gained widespread attention for their zero-shot learning and natural language processing capabilities in the medical domain. Al...