Results 81 to 90 of about 30,371 (174)

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, Volume 38, Issue 9, 12 February 2026.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

Advanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo, Karandeep Grover, Elizabeth J. New   +2 more
wiley   +1 more source

Spin‐Crossover Modulated Luminescence in Materials and Molecular Complexes

Helvetica Chimica Acta, Volume 109, Issue 2, February 2026.
The synergistic coupling of spin‐crossover and luminescent properties holds great promise for the development of multifunctional and stimuli‐responsive molecular materials. This contribution provides a comprehensive overview of the field, surveying the possible coupling mechanisms, the various synthetic strategies and their potential applicability, as ...
Charlotte Egger, Claude Piguet
wiley   +1 more source

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 328-345, February 2026.
ABSTRACT Background Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diffusion tensor imaging (DTI) offer promise for more robust diagnosis, their clinical application ...
Christian John A. Saludar, Maryam Tayebi, Eryn Kwon, Joshua McGeown, William Schierding, Alan Wang, Justin Fernandez, Samantha Holdsworth, Vickie Shim   +8 more
wiley   +1 more source

Strengths and Limitations of Statistical and Dynamical Downscaling for the Representation of Compound Dry and Hot Events Over Spain

International Journal of Climatology, Volume 46, Issue 2, February 2026.
Statistical and dynamical downscaling methods are tested for their reproduction of compound dry‐hot events, using three representatives of each category. Statistical methods are found to better detect when they are produced, whereas dynamical downscaling better simulates their distribution over the whole period.
M. N. Legasa, A. Casanueva, R. Manzanas
wiley   +1 more source

Rationalizing Enhanced Affinity of Engineered T‐Cell Receptors in Cancer Immunotherapy Through Interaction Energy Calculations and Residue Correlation Analysis

Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 2, Page 529-546, February 2026.
ABSTRACT The advancement of T cell engineering has significantly transformed the field of cancer immunotherapy. In particular, T cells equipped with modified T cell receptors present a promising therapeutic strategy, especially for addressing solid tumors.
Mario Frezzini, Daniele Narzi
wiley   +1 more source

Nanopore Trap for Label‐Free Fingerprinting of Surface‐modified Single Nanoparticles

Small Methods, Volume 10, Issue 3, 9 February 2026.
A solid‐state nanopore trapping‐based methodology combines “trap‐release” measurement protocol with multiple features extracted from ionic current of trapping events to generate unique electrical fingerprints of nanoparticles with distinct surface functional layers.
Nianduo Cai, Tzu‐Heng Chen, Yunfei Teng, Akhil Sai Naidu, Aleksandra Radenovic   +4 more
wiley   +1 more source

Cluster Models for Next‐Generation, Machine‐Learning‐Based Energy Functions for Molecular Simulations

Small Structures, Volume 7, Issue 2, February 2026.
This work describes how to conceive validated mixed machine learned/empirical energy functions based on finite‐sized molecular clusters for condensed phase simulations. Energy functions for pure and heterogeneous systems are one of the backbones for molecular simulation of condensed phase systems.
JingChun Wang, Meenu Upadhyay, Eric D. Boittier, Kham Lek Chaton, Valerii Andreichev, Mike Devereux, Raidel Martin Barrios, Shimoni Patel, Sena Aydin, Kai Töpfer, Markus Meuwly   +10 more
wiley   +1 more source

Unified Analytic Framework for Thickness‐Dependent Transport and Trap‐State Modulation in Ultrathin W:In2O3 Field‐Effect Transistors

Small Structures, Volume 7, Issue 2, February 2026.
We present a unified analytic framework linking subthreshold and above‐threshold conduction in oxide field‐effect transistors by decomposing the drain current into band transport, tail‐state percolation, and interface‐trap diffusion components. Parameter correlation and identifiability analyses enable robust extraction of physical metrics, yielding ...
Mochamad Januar, Zhao‐Feng Luo, Kou‐Chen Liu, Min‐Hung Lee   +3 more
wiley   +1 more source

A novel agricultural commodity price prediction model integrating deep learning and enhanced swarm intelligence algorithm. [PDF]

PLoS One
Sun K, Yao Q, Li Y.
europepmc   +1 more source