Results 191 to 200 of about 2,018 (260)

Stabilizing Plasmodium falciparum proteins for small molecule drug discovery

open access: yesProtein Science, Volume 35, Issue 6, June 2026.
Abstract Early‐stage drug discovery relies on the availability of stable protein for reliable biophysical characterization of ligand binding. However, many Plasmodium falciparum proteins are challenging to produce in heterologous systems, which limits their experimental utility.
Marius Amann   +3 more
wiley   +1 more source

Physics‐Informed Bayesian Optimisation of Utility‐Scale Wind Farms in Synthetically Generated Complex Terrain Using LES

open access: yesWind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Optimising turbine layouts to maximise power output is crucial for wind farm development, particularly in complex terrain where analytical wake models fail to capture key flow physics. We present the first application of Bayesian optimisation (BO) combined with large eddy simulations (LES) for utility‐scale wind farm layout optimisation in ...
Christian Jané‐Ippel   +2 more
wiley   +1 more source

Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR. [PDF]

open access: yesSci Rep
Chinnaperumal S   +7 more
europepmc   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

A Probabilistic Greedy Attempt to Be Fair in Neural Team Recommendation

open access: yesComputational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT Neural team recommendation has brought state‐of‐the‐art efficacy while enhancing efficiency at forming teams of experts whose success in completing complex tasks is almost surely guaranteed. However, they overlook fairness, that is, predicted teams are heavily biased toward popular and male experts, falling short of recommending female or ...
Hamed Loghmani   +4 more
wiley   +1 more source

Predictive Modelling of Service Building and Users Mobility Related Energy Consumption Through Machine Learning and Graph Based Analysis

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Accurately assessing the energy consumption associated with public buildings and the services they provide is essential for supporting sustainable infrastructure planning. This work presents an integrated modelling framework that combines machine learning prediction of building energy use with a graph based representation of user mobility ...
Valerio Bellandi   +6 more
wiley   +1 more source

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