Results 71 to 80 of about 552,473 (239)
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
The study provides an extreme example of insect adaptation to highly toxic defenses of host plants, and investigates the complex strategies to resist carcinogenic aristolochic acids, including physical isolation, metabolic detoxification, and DNA repair.
Yang Luan +20 more
wiley +1 more source
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang +7 more
wiley +1 more source
This study uncovers two overlooked bottlenecks in cryogenic laser cooling of solids: symmetry‐driven fluorescence trapping and water vapor condensation. We demonstrate that breaking sample symmetry enhances fluorescence escape, while condensation dominates parasitic heating below 135 K.
Biao Zhong +5 more
wiley +1 more source
Nonautonomous ill-posed evolution problems with strongly elliptic differential operators
In this article, we consider the nonautonomous evolution problem $du/dt=a(t)Au(t), 0leq sleq t< T$ with initial condition $u(s)=chi$ where -A generates a holomorphic semigroup of angle $heta in (0,pi/2]$ on a Banach space X and $ain C([0,T]:mathbb{R}^+
Matthew A. Fury
doaj
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Physics‐Informed Estimation of Tidal and Subtidal Flow Fields From ADCP Repeat Transect Data
Acoustic Doppler current profilers (ADCPs) are a global standard in observing flow fields in rivers, estuaries and the coastal ocean. To date, it remains a labor intensive challenge to isolate mean flow fields governed by river discharge, tides and ...
H. Jongbloed +2 more
doaj +1 more source
One popular regularization technique for handling both linear and nonlinear ill-posed problems is homotopy perturbation. In order to solve nonlinear ill-posed problems, we investigate an iteratively-regularized simplified version of the Homotopy ...
Sharad Kumar Dixit
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
This review charts the evolution of corneal hydrogels from passive replacements to active and intelligent systems, evaluating natural and synthetic materials while addressing design challenges such as transparency and strength. Advanced applications such as scarless wound healing, three‐dimensional bioprinting, and smart wearables are highlighted to ...
Xinwei Wang +9 more
wiley +1 more source

