Objective Autonomous vehicle (AV) crashes continue to occur, indicating the need for a comprehensive understanding of their characteristics to support safety management in future mixed-traffic environments. Previous studies employing text mining or rule extraction have faced limitations in generalizing findings due to...
Songha Lee, Nuri Park, Hojae Kim et al.· Traffic Injury Prevention· 0 citations
Low-altitude unmanned aerial vehicles (UAVs) require compact multimodal inference for perception, environment understanding, and planning-oriented reasoning. Vision-language models (VLMs) provide a shared interface for these tasks, but long visual-token sequences increase language-model prefill computation, sequence-de...
Background Structured exercise may benefit executive function across childhood, adolescence, and later life, but whether effects vary by executive-function domain, developmental stage, or qualitative exercise characteristics remains uncertain. Methods We conducted a systematic review and three-level meta-analysis of ra...
Users often need answers from lengthy documents without knowing the exact terms used in the source. DocuMind AI is a document question-answering prototype that combines semantic retrieval with large language model generation. It accepts PDF, DOCX, TXT, and Markdown files, extracts and splits their text, creates embeddi...
Panoramic dental radiographs are routinely used for diagnosis and treatment planning, yet their interpretation remains time-consuming and highly dependent on clinical expertise. Although Vision–Language Models (VLMs) have shown promising capabilities for medical report generation, their application to dental radiology...
Some sign language avatars work like a phrase book. They play a recorded sign for each word in their dictionary and fingerspell the other meaningful words, such as nouns, verbs and names, spelling them letter by letter with the hand alphabet, which takes longer than signing. This paper measures how much an Internationa...
Nikolaos D. Tantaroudas, Andrew J. McCracken, Ilias Karachalios et al.· Preprints.org· 0 citations
This article examines the teaching of culture-bound phraseological units in F. Scott Fitzgerald’s The Great Gatsby from a linguocultural and pedagogical perspective. The principal purpose is to develop and justify a didactic model designed to strengthen students’ translation competence and intercultural competence in h...
Nargiza Urazalieva· Revista Cultura Científica· 0 citations
Background Yangxin Dingji Capsule (YXDJ), a modern Chinese patent medicine derived from the classic Zhigancao Decoction, is commonly used as an adjuvant therapy for atrial fibrillation (AF). This study aimed to comprehensively evaluate the efficacy and safety of YXDJ as an adjuvant therapy in AF patients. Materials and...
Jingshuo Hao, Cong Ma, Jiaqi Ren et al.· Frontiers in Pharmacology· 0 citations
Email spam detection in English has been studied extensively under full supervision, but for low-resource languages such as Turkish the largest public dataset is more than an order of magnitude smaller, and every existing Turkish spam detector assumes full supervision. This study asks whether spam can be detected from...
Sultan Zavrak· Intelligent Data Analysis· 0 citations
Retrieval-augmented generation (RAG) systems can improve question answering by grounding large language model responses in external documents. However, enterprise deployments require not only relevant answers but also reliable abstention when the available knowledge base lacks sufficient evidence. This study investigat...
Maimoona Qayyum· Zenodo (CERN European Organi...· 0 citations
Abstract Understanding how machine learning models interpret mental health expressions across languages is essential for developing reliable, inclusive computational mental health systems. While transformer-based models have shown strong performance in English-language mental health detection, their interpretability an...
Moshiur Rahman Faisal, Suraiya Islam Meem, Shahadat Uddin· Annals of Data Science· 0 citations
Despite the Canada Health Act’s emphasis on “reasonable access” to care, many newcomer patients for whom English is a second language face communication barriers when seeking medical treatment in Canada. This barrier is especially prevalent in Canadian pharmacies, where interpretation services are often limited or non-...
Josheil Kaur Boparai, Reem Abdelrahim, Abby Pace et al.· Community Health Equity Rese...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
