Results 171 to 180 of about 5,976 (280)

Integer Ambiguity Resolution

open access: yes
Bofeng Li, Zhetao Zhang, Weikai Miao
openaire   +1 more source

Phenotypic scoring of canola blackleg severity using machine learning image analysis

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu   +15 more
wiley   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

open access: yesExpert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

Pharmacokinetics and pharmacodynamics of intravenous and oral (S)‐ketamine: Investigating metabolite contribution to subjective effects

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 7, Page 2260-2271, July 2026.
Aims Oral administration of (S)‐ketamine for treatment‐resistant depression (TRD), as alternative to the registered intranasal or off‐label intravenous administrations, has high potential. However, it is characterized by an extensive first‐pass metabolism, resulting in low (S)‐ketamine exposure and high levels of active metabolites, including (S ...
Marije E. Otto   +5 more
wiley   +1 more source

Hunting Structural Demons in Digital Reticular Chemistry: Lessons From Metal‐Organic Frameworks

open access: yesIsrael Journal of Chemistry, Volume 66, Issue 4, July 2026.
Digital reticular chemistry is haunted by “structural demons”, chemically invalid models lurking within massive experimental and hypothetical MOF databases. This mini‐review tracks where these anomalies enter the data pipeline, evaluate the modern computational arsenal used to detect them (from rule‐based algorithms to machine‐learning classifiers ...
Yongchul G. Chung, Myoung Soo Lah
wiley   +1 more source

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