Results 161 to 170 of about 941 (218)

AI-augmented geothermal model for scalable energy uncertainties in buildings. [PDF]

Sci Rep
Markowitz A, Abuaamoud R, Ben Ayed S, Rupe A, Yang R, Kliphuis T, Vesselinov V.   +6 more
europepmc   +1 more source

Predicting Potential Distribution of the Acanthopanax Sessiliflorus in China Under Future Climate Scenarios Based the Optimized Maximum Entropy (MaxEnt) Model

Ecology and Evolution, Volume 16, Issue 6, June 2026.
In this study, we employed an optimized MaxEnt model combined with environmental variables to predict the potential habitat suitability for Acanthopanax sessiliflorus under various future climate projections. Our findings indicate that climate change will likely alter the geographic distribution of this species, with potential shifts in suitable ...
Yang Nan, Shuoning Zhang, Wenjing Xu, Kaize Feng, Ziyang Liu, Qingfeng Wang, Xu Fan   +6 more
wiley   +1 more source

Axiomatic Design for Analysis and Noniterative Engineering of Photoelectrochemical Cells for CO₂ Conversion at High Photon to Product Yield. [PDF]

Artif Photosynth
Assen SME, Sevink GJA, de Groot HJM.
europepmc   +1 more source

Bibliometric Analysis of Cubebenes and Related Sesquiterpenes: Natural Occurrence, Biosynthesis, Pharmacological Activities, and In‐Silico‐Based Future Therapeutic Potential

eFood, Volume 7, Issue 3, June 2026.
Cubebene‐related sesquiterpenes, found across diverse biological sources, exhibit promising pharmacological activities, including anti‐inflammatory, neuroprotective, and anticancer effects. This review highlights their molecular diversity, ADME profiles, and predicted multitarget interactions, underscoring their therapeutic relevance and potential in ...
Khadija Boualam, Ahmet B. Ortaakarsu, Sohaib Khatib, Mohamed A. Farag, Mansour Sobeh   +4 more
wiley   +1 more source

An Approach to Fisher-Rao Metric for Infinite Dimensional Non-Parametric Information Geometry. [PDF]

Entropy (Basel)
Cheng B, Tong H.
europepmc   +1 more source

Enhancing Interpretability and Explainability of Protein Function Prediction ML Model Using Explainable AI

Engineering Reports, Volume 8, Issue 6, June 2026.
This systematic review traces the evolution of protein function prediction from experimental methods through homology‐based tools, ML and DL to XAI. While deep learning models achieve state‐of‐the‐art predictive accuracy, their black‐box nature limits biological insight and clinical trust.
Aastha Katiyar, Rashmi Yadav
wiley   +1 more source

Further <i>N</i>-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI. [PDF]

Front Comput Neurosci
Edwards DJ.
europepmc   +1 more source

Climatic, lithologic and topographic control on alpine rock fracturing and talus evolution

Earth Surface Processes and Landforms, Volume 51, Issue 6, June 2026.
Investigating Holocene rockwall–talus systems in an Alpine valley revealed that lithologic and topographic conditions in concert with climatic‐driven stresses and time since deglaciation result in rockwall fracture patterns that control rockfall size, erosion rates and the characteristics and evolution of talus.
Daniel Draebing, Sterre A. M. Brouns, Steven A. Binnie, Tjalling de Haas, Samuel T. McColl   +4 more
wiley   +1 more source

Assessment of genetic structure and trait associations of Watkins wheat landraces under Egyptian field conditions. [PDF]

Front Genet
Elkot AF, Nassar AE, Elmassry EL, Forner-Martínez M, Awal R, Wingen LU, Griffiths S, Alsamman AM, Kehel Z.   +8 more
europepmc   +1 more source

Primary Somatosensory to Motor Cortex Microstructural Connectivity Predicts the Mu‐Rhythm Phase Effect on Corticospinal Excitability: An EEG‐TMS Study

Human Brain Mapping, Volume 47, Issue 8, June 1, 2026.
Sensorimotor mu‐rhythm phase modulates corticospinal excitability; however, the influence of mu‐phase varies across individuals and could be related to microstructural connectivity between primary somatosensory (S1) and motor (M1) cortices. Our findings suggest that higher S1–M1 microstructural connectivity is associated with a stronger mu‐phase effect
Juliana R. Hougland, Timo Roine, Andreas Jooß, Dania Humaidan, Ulf Ziemann   +4 more
wiley   +1 more source