Results 81 to 90 of about 4,184 (152)

Behaviour of Temperate Reef Fish Species Around Oyster Aquaculture Farms and Natural Rock Reefs

Aquaculture, Fish and Fisheries, Volume 6, Issue 1, February 2026.
ABSTRACT Cultivation of eastern oysters using aquaculture gear increases habitat for temperate reef fish. Cunner (Tautogolabrus adspersus), scup (Stenotomus chrysops) and tautog (Tautoga onitis) inhabit a variety of complex natural and manmade habitats, including oyster aquaculture cage farms.
Gillian Phillips, Julie M. Rose, Paul Clark, Mark Dixon, Dylan H. Redman, Barry Smith, Peter J. Auster, Alison Verkade, Christopher Schillaci, Renee Mercaldo‐Allen   +9 more
wiley   +1 more source

Deep eutectic solvents for green extraction and separation of bioactive compounds from traditional Chinese medicines. [PDF]

Chin Med
Ali A, Li R, Zhu R, Mahmood S, Chen Q, Yao S.   +5 more
europepmc   +1 more source

Uncovering the Key Factors Influencing Phytochemical and Phytopharmacological Properties During Medicinal Plant Processing

eFood, Volume 7, Issue 1, February 2026.
From farm to pharma, this review details the engineering of quality in medicinal plants through a science‐driven approach: it first elucidates how genetic and environmental factors inscribe the plant's phytochemical and phytopharmacological profile before harvest, and then dissects the postharvest techniques and technologies—chemical and thermal pre ...
Elyas Aryakia
wiley   +1 more source

A pivot joint steering mechanism for tip-everting soft growing robots. [PDF]

Front Robot AI
Ji T, Bi Z, Cao L.
europepmc   +1 more source

Performance Evaluation of Rice Bran Oil—Waste Cooking Oil Binary Blend‐Based Biodiesel With Normal Diesel in CI Engine

Engineering Reports, Volume 8, Issue 2, February 2026.
This study evaluates the performance and emissions of CI engines using biodiesel blends derived from rice bran and waste cooking oil, revealing that a 30% biodiesel blend significantly reduces emissions, while a 70% blend affects specific engine parameters. ABSTRACT This research investigates the performance, combustion, and emission characteristics of
S. Prathap Singh, M. A. Prasanth, K. Gnanasekaran, R. Yeshwan, R. Subasriram, Abhijit Bhowmik, Nagaraj Ashok   +6 more
wiley   +1 more source

Vector-stimuli-responsive magnetorheological fibrous materials. [PDF]

Nature
Pu J, Li H, Liu J, Li K, Tao X.
europepmc   +1 more source

Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 525-535, February 2026.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) is a technique that can provide rapid quantification of multiple tissue properties. Deep learning may potentially contribute to an accelerated acquisition of MRF. Purpose (1) To develop a deep learning method to accelerate the acquisition for kidney MRF; (2) to evaluate its performance in ...
Zhiqing Yin, Huay Din, Jessie E. P. Sun, Christina J. MacAskill, Sree Harsha Tirumani, Pew‐Thian Yap, Mark Griswold, Chris A. Flask, Yong Chen   +8 more
wiley   +1 more source

Optimized steam boiler for soil steam disinfection: Structural design, CFD simulation, and field application. [PDF]

PLoS One
Pan S.
europepmc   +1 more source

MRI and Implant Safety at Low‐Field and Ultralow‐Field Strengths

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 364-377, February 2026.
ABSTRACT Despite its unequivocal value in radiological diagnosis, access to conventional high‐field MRI systems remains extremely uneven across the world. Access is particularly limited in underfunded and remote settings, due to the high cost and infrastructure requirements of MRI systems.
Emre Kopanoglu, Michael Steckner, Michael N. Hoff, Adrienne E. Campbell‐Washburn, Andrew G. Webb, Scott B. Reeder, Vikas Gulani, on behalf of the ISMRM Safety Committee   +7 more
wiley   +1 more source

Few‐shot learning for highly accelerated 3D time‐of‐flight MRA reconstruction

Magnetic Resonance in Medicine, Volume 95, Issue 2, Page 770-786, February 2026.
Abstract Purpose To develop a deep learning‐based reconstruction method for highly accelerated 3D time‐of‐flight MRA (TOF‐MRA) that achieves high‐quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time‐consuming acquisition of high‐resolution, whole‐head angiograms.
Hao Li, Mark Chiew, Iulius Dragonu, Peter Jezzard, Thomas W. Okell   +4 more
wiley   +1 more source