Morphological analysis of the flow–volume curve represents a promising approach to complement conventional spirometry in the identification and characterization of fixed airflow obstruction and may provide additional information regarding airflow limitation, non-uniform lung emptying, emphysema, small airway disease, h...
A. Bastidas-Goyes, L. Giraldo-Cadavid, Eduardo Tuta-Quintero et al.· Advances in Respiratory Medi...· 0 citations
The strongest evidence came from narrowly defined tasks with explicit reference standards, including motor-skill assessment, biomechanical estimation, markerless motion capture, and athlete tracking, while evidence for injury prediction, wearable systems, generative AI, and athlete digital twins was less mature.
A. S· International Journal of Phy...· 0 citations
This study investigates whether Guangzhou Cantonese ABB ideophones exhibit iconic-systematicity, the statistical association between speech sounds and sensory meanings that is grounded in perceived resemblance. While such systematic sound-meaning correspondences have been widely documented in Indo-European languages, i...
Dan-Rui Li· Journal of Artificial Intell...· 0 citations
Analysis of word associations generated by humans and large language models indicate that latent semantic representations of human word associations are better integrated than that of the LLMs, illustrating how cross-comparisons with LLM-generated data can provide insights into the nature of human semantic representati...
Cynthia S. Q. Siew· Quarterly Journal of Experim...· 0 citations
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This work studies how to compress a tokenizer by distillation, taking as the supervision target neither the discrete token nor the output distribution but the pre-quantizer latent the model actually consumes - the last representation the two token interfaces share.
Prasanth Yadla, Mohammad Samragh, Dongseong Hwang et al.· 0 citations
Bibliometric mapping shows that the learning-explicit robotic transplantation literature is strongly kidney-dominant, with evidence from other organs representing smaller and clinically distinct extensions, and proposes a multidomain interpretation in which technical efficiency, transplant-specific process control, cli...
Ji-Ping Niu, Chang-Hong Xu, Xuan-Yin Chen et al.· Journal of Robotic Surgery· 0 citations
NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with J...
Jona Emiri· Zenodo (CERN European Organi...· 0 citations
The research reviews the literature on high-frequency Service Discourse Markers (SDMs) in the tourism and hospitality industries, including welcoming greetings, expressions of gratitude, apologies, small talk, hedges, and alignments that affect customer satisfaction and perceptions of professionalism. By regarding unde...
Ba Nguyen Thi Kim, Dao Vo Thi Anh, Ngoc Nguyen Thi Boi et al.· International Journal of Lan...· 0 citations
Summary Benchmarks for policy-adherent language agents typically split tasks into those where the agent must refuse and those where it must act, and report accuracy on each. Such designs measure the joint effect of task difficulty and of whatever conversational dynamics the benchmark contains, without separating them....
Michał Nowak· Zenodo (CERN European Organi...· 0 citations
The translation of theoretical mathematical models into executable code remains a persistentbottleneck in computational science. While LATEX serves as the standard for sharing algebraicequations and algorithms, its representation is fundamentally disconnected from the explicit logicrequired by programming languages lik...
Brent Hartshorn· Zenodo (CERN European Organi...· 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.
