Results 71 to 80 of about 2,826,914 (153)

Synergistic Enhancement of Modified‐PVDF Humidity Sensitivity via Chemical Adsorption‐Ionic Conductivity and its Application in Intelligent Powered Air‐Purifying Respirator

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 3, May 2026.
The study developed a PVDF/SiO2 humidity sensor with superhydrophobic properties and integrated the humidity sensor into the intelligent powered air‐purifying respirator (IPAPR) for breath monitoring. Coupled with the Gated Recurrent Unit (GRU) machine learning prediction algorithm, it enables feedforward control of the fan to achieve respiratory ...
Xinjian He, Hongwei Liu, Xianjie Xu, Xinkai Qi, Danhong Gao, Hanling Deng, Dusong Hou, Qianyao Lu, Lei Zhu, Sheng Huang   +9 more
wiley   +1 more source

A Cross‐Layer Spatial–Spectral Optimization Framework for Hybrid Routing and Load‐Balanced Channel Allocation in Intelligent Networks

Engineering Reports, Volume 8, Issue 5, May 2026.
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley   +1 more source

SRAM based Gaussian noise generation for post quantum cryptography. [PDF]

Sci Rep
Kim MS, Jeon SB, Kim S.
europepmc   +1 more source

Analysis of Upper Airway Morphology Using Four‐Dimensional Dynamic MRI With Active Deep Learning‐Based Automatic Segmentation

Journal of Magnetic Resonance Imaging, Volume 63, Issue 5, Page 1404-1417, May 2026.
ABSTRACT Background Upper‐airway morphology changes during breathing can be captured with cine 4D MRI. Active‐learning nnU‐Net reduces manual labeling while maintaining accuracy. Purpose For automatic upper airway segmentation on free‐breathing cine 4D MRI using active learning and quantifying dynamic changes under two mouth positions.
Cheng‐Yang Yu, Meng‐Chen Chung, Yunn‐Jy Chen, Han‐Wei Wang, Jonathan X. Zhou, Shih‐Lung Chen, Kevin T. Chen, Tiffany Ting‐Fang Shih   +7 more
wiley   +1 more source

Distributed multi-robot active gathering for non-uniform agriculture and forestry information. [PDF]

Front Plant Sci
Chen J, Chen M, Wang J, Mao Q, Xie F, Dames P.   +5 more
europepmc   +1 more source

Conkazal‐M1 from the MKAVA family of conotoxins: A dual‐function protease inhibitor and neuroactive peptide

Protein Science, Volume 35, Issue 5, May 2026.
Abstract Marine cone snails produce a diverse array of bioactive peptides, known as conotoxins, in their venom. Given their high target potency and specificity, conotoxins are attractive compounds for the development of precision research tools and pharmacological agents.
Celeste M. Hackney, Thomas Lund Koch, Nicklas Lund Ryding, Aymeric Rogalski, Kevin Chase, Matías Leonel Giglio, Samuel S. Espino, Zildjian G. Acyatan, Maren Watkins, Baldomero M. Olivera, Helena Safavi‐Hemami, Kaare Teilum, Lars Ellgaard   +12 more
wiley   +1 more source

Research on multi-channel access strategy based on congestion control with burst traffic in CRNs. [PDF]

PLoS One
Xu Q, Zhang Q, Bi Y, Gaber J.
europepmc   +1 more source

A Dose‐Finding Design for Drug Combinations Using a Bayesian 4 Parameter Logistic Model With Penalised D‐Optimality

Pharmaceutical Statistics, Volume 25, Issue 3, May/June 2026.
ABSTRACT Drug combinations, where two drugs are co‐administered, are being explored widely within Phase I trials in oncology. These trials aim to identify the maximum tolerated dose combination (MTDC) by adapting the dose of both treatments based on current trial data.
Maxine Ajimi, Benjamin Webb, Graham M. Wheeler, Jayne Marshall, Adrian P. Mander   +4 more
wiley   +1 more source

Three-Dimensional Path Planning for UAV Based on Multi-Strategy Dream Optimization Algorithm. [PDF]

Biomimetics (Basel)
Yang X, Zhao S, Gao W, Li P, Feng Z, Li L, Jia T, Wang X.   +7 more
europepmc   +1 more source

A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics

Statistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT High‐dimensional data are crucial in biomedical research. Integrating such data from multiple studies is a critical process that relies on the choice of advanced statistical models, enhancing statistical power, reproducibility, and scientific insight compared to analyzing each study separately.
Mavis Liang, Blake Hansen, Alejandra Avalos‐Pacheco, Roberta De Vito   +3 more
wiley   +1 more source