Results 161 to 170 of about 953 (204)

Tribo‐Electromagnetic Nanogenerator Based on Microstructured Polyvinyl Chloride Layer for Enhanced Hybrid Energy Harvesting and Intelligent Health Monitoring

open access: yesSmall, Volume 22, Issue 31, 2 June 2026.
A microstructured PVC‐based tribo‐electromagnetic nanogenerator (TEMNG) enables simultaneous harvesting of biomechanical and ambient electromagnetic energy. The hybrid device achieves high electrical outputs while supporting wearable sensing, gait monitoring, and self‐powered touch interfaces.
Ching‐Te Kuo   +4 more
wiley   +1 more source

Sustained disease remission after a limited duration of bispecific antibody therapy in patients with multiple myeloma

open access: yes
HemaSphere, Volume 10, Issue 6, June 2026.
Gala Vega   +18 more
wiley   +1 more source

ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome‐wide polymorphisms

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract The growing size of genome‐wide polymorphism data in animal and plant breeding has raised concerns regarding computational load and time, particularly when predicting genetic values for target traits using genomic prediction. Several deep learning and conventional methods, including dimensionality reduction techniques such as principal ...
Tanzila Raihan   +4 more
wiley   +1 more source

A Unified Vector Electromagnetic Framework for Ionospheric Scintillation and Polarization Effects in GNSS

open access: yesRadio Science, Volume 61, Issue 6, June 2026.
Abstract The ionosphere imposes coupled amplitude, phase, and polarization distortions on trans‐ionospheric Global Navigation Satellite System (GNSS) signals, reflecting the structure and dynamics of electron‐density irregularities. Classical weak‐scatter theory provides a mature framework for interpreting amplitude and phase scintillation, but these ...
T. Durgonics, S. S. Beeck
wiley   +1 more source

Confinement in fibrous environments positions and orients mitotic spindles. [PDF]

open access: yesPNAS Nexus
Sarkar A   +8 more
europepmc   +1 more source

Hybrid Hydrodynamic‐Machine Learning Modelling for Rapid Flood Scenario Assessment: A Case Study in Aotearoa New Zealand

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is one of the most devastating natural disasters worldwide. It is also expected to become more severe as climate change impacts are realised. Two‐dimensional (2D) hydrodynamic models are used to obtain reliable inundation estimations.
Andrea Pozo   +5 more
wiley   +1 more source

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