Results 91 to 100 of about 7,263 (222)

Mutual antagonism between auxin and diacylglycerol acyltransferase 2 regulates high‐temperature‐induced hypocotyl elongation

New Phytologist, EarlyView.
Proposed model for auxin–DGAT2 crosstalk regulating high‐temperature‐induced hypocotyl elongation. Summary Cell elongation is a fundamental process in plant growth and development, and it is significantly affected by temperature changes. While the signaling mechanisms driving high‐temperature‐induced cell elongation have been extensively studied, the ...
Mohinur Khamzaaliyeva, Punita Lalchand, Didier‐Deschamps Ashley, Xue Pan   +3 more
wiley   +1 more source

A Variational Bayesian Adaptive Kalman Filter for the Random Losses Problem of Sensor Packet

IEEE Access
In this paper, a variational Bayesian adaptive Kalman filter (VBAKF) was used to solve the impact of unknown non-Gaussian measurement noise (NGMN) and sensor measurement loss in Wireless Sensor Networks (WSN) communication. First, the inverse Wishart (IW)
Changzhong Chen, Dahai Shu, Xie Leng, Haijun Long, Han Wu   +4 more
doaj   +1 more source

Drug‐Induced Sialolithiasis—A Big‐Data Retrospective Study

Oral Diseases, EarlyView.
ABSTRACT Background Sialolithiasis pathophysiology is multifactorial, with systemic medications often hypothesised as a key contributor, particularly in older adults (Drug‐Induced Sialolithiasis). However, robust evidence supporting this theory is limited.
Gal Avishai, Gil Caspi, Akhilanand Chaurasia, Gavriel Chaushu, Daya Masri, Ehud Jonas   +5 more
wiley   +1 more source

Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet

Sensors
The application of intelligent video monitoring for natural resource protection and management has become increasingly common in recent years. To enhance safety monitoring during the grazing prohibition and rest period of grassland, this paper proposes a
Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li   +7 more
doaj   +1 more source

Acute Effects of Varying Neuromuscular Electrical Stimulation Amplitude on Quadriceps Isometric Torque and Muscle Thickness in Healthy Young Adults: A Randomized Split‐Limb Trial

Physiotherapy Research International, Volume 31, Issue 4, October 2026.
ABSTRACT Introduction Despite the relevance of neuromuscular electrical stimulation (NMES) dosimetry, it is unclear whether increasing the self‐reported tolerated amplitude enhances acute neuromuscular responses. Objective To investigate the acute effects of varying NMES amplitude and type of induced contraction on quadriceps isometric torque (IT) and ...
Jhonatan Zini dos Anjos, Otávio Augusto Correa Cenci, Isadora Giacomolli da Silva, Carlos Eduardo de Albuquerque, Gladson Ricardo Flor Bertolini, Alberito Rodrigo de Carvalho   +5 more
wiley   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1219-1234, September 2026.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

Gaussian Mixture Model Based Bayesian Learning for Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated Systems

IEEE Open Journal of Vehicular Technology
A novel Gaussian mixture model (GMM)–aided sparse Bayesian learning (SBL) framework is proposed for channel state information (CSI) estimation in orthogonal time-frequency space (OTFS) modulated systems. The key attribute of the proposed algorithm
Surbhi Gehlot, Suraj Srivastava, Sandeep Kumar Yadav, Lajos Hanzo   +3 more
doaj   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Integrated Multi‐Physics Characterisation of the Northern Kiruna Mining District With Machine‐Learning‐Assisted Interpretation

Geophysical Prospecting, Volume 74, Issue 7, September 2026.
ABSTRACT Integrated earth modelling aims to combine all available geoscientific information to derive one common earth model. However, combining multiple parameters in a meaningful way remains challenging. In this study, we aim to improve mineral exploration workflows through the integration of new magnetotelluric data with other geophysical and ...
Oskar Rydman, Ervin Veress, Maxim Yu. Smirnov, Tobias E. Bauer, Thorkild M. Rasmussen, Niklas Juhojuntti   +5 more
wiley   +1 more source