Results 151 to 160 of about 108,016 (310)

Development of a Three‐Axis Planar Hall Magnetoresistance Sensor Using a Superparamagnetic Nanoparticle‐Based Flux Guide

Advanced Functional Materials, EarlyView.
A printed superparamagnetic nanoparticle‐based flux guide enables the realization of a hysteresis‐free three‐axis magnetic sensor. This innovative architecture efficiently redirects out‐of‐plane fields to planar sensing elements, facilitating simultaneous vector detection without complex reset protocols.
Changyeop Jeon, Mijin Kim, Keonmok Kim, Byeonghwa Lim, Bibhutibhusan Nayak, Youngdo Jung, Bo‐Yeon Lee, Taehyeong Jeon, Jinwoo Kim, Sunjong Oh, CheolGi Kim   +10 more
wiley   +1 more source

Targeting Post‐Irradiation Thyroid Dysfunction: Electrospun Scaffolds As A Dual‐Action Approach for Antioxidant and Immune Modulation

Advanced Healthcare Materials, EarlyView.
Radiation‐induced hypothyroidism follows head and neck radiotherapy due to oxidative stress and inflammation. Electrospun polycaprolactone scaffolds containing adenosine have potential to modulate thyroid repair. Scaffolds enhance thyrocyte proliferation, antioxidant enzymes glutathione peroxidase and catalase, reduce senescence and apoptosis markers ...
Maria Heim, Ella‐Louise Handley, Daniel Grant, Lizi M. Hegarty, Elaine Emmerson, Anthony Callanan   +5 more
wiley   +1 more source

Regression depth and support vector machine [PDF]

The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core  

Lysosome‐Acidifying Nanoparticles Rescue A30P α‐Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease

Advanced Healthcare Materials, EarlyView.
Lysosome‐targeted acidic nanoparticles based on a biodegradable poly(ethylene tetrafluorosuccinate‐co‐succinate) copolymer are engineered to restore impaired lysosomal acidification through pH‐responsive intracellular degradation. Localized acid release enhances autophagic proteolysis, reduces α‐synuclein accumulation, and preserves dopaminergic neuron
Chih Hung Lo, Mengda Ren, Gavin Wen Zhao Loi, Eka Norfaishanty Saipuljumri, Jonathan Indajang, Kah Leong Lim, Jialiu Zeng   +6 more
wiley   +1 more source

Fault Classification of Reciprocating Compressor Based on Neural Networks and Support Vector Machines

Reciprocating compressors play a major part in many industrial systems and faults occurring in them can degrade performance, consume additional energy, cause severe damage to the machine and possibly even system shut-down.
Gu, Fengshou, Ball, Andrew, Ahmed, Mahmud, Abdusslam, S.A., Baqqar, Mabrouka   +4 more
core  

Extracellular Vesicles Modulation by an Adiponectin Receptor Agonist Provides Cardioprotection for Myocardial Ischemic Injury

Advanced Healthcare Materials, EarlyView.
This study demonstrates that ALY688, a drug mimicking the heart‐protective hormone adiponectin, reduces myocardial ischemia injury. ALY688 increases the production of extracellular vesicles, which carry protective cargo including adiponectin itself.
Jialing Tang, Wing Yan Chung, Serena M. Pulente, Yubin Lei, Khang Nguyen, Eddie Tam, Nadya M. Morrow, Ilka Lorenzen‐Schmidt, Fengxia Xiao, Augusto Zani, Dylan Burger, Hye Kyoung Sung, Erin E. Mulvihill, Gary Sweeney   +13 more
wiley   +1 more source

Application of Stationary Wavelet Support Vector Machines for the Prediction of Economic Recessions

, 2013
This paper examines the efficiency of various approaches on the classification and prediction of economic expansion and recession periods in United Kingdom. Four approaches are applied.
Giovanis, Eleftherios
core  

Functional Blood‐Brain Barrier Crossing by Biomimetic M13 Phage Vectors for Targeted Neuronal Delivery

Advanced Healthcare Materials, EarlyView.
This study investigates the M13 bacteriophage as a biomimetic nanovector capable of crossing in vitro models of the blood–brain barrier. By exploiting peculiar transcellular pathways, M13 avoids lysosomal degradation and preserves its structural integrity and functionality.
Silvia Vercellino, Lucia Pappagallo, Francesca De Chirico, Luca Boselli, Hazem Ahmed, Luca Spagnoletti, Giovanni Pittaluga, Paolo Emidio Costantini, Matteo Calvaresi, Pier Paolo Pompa, Alberto Danielli, Fabio Benfenati, Valentina Castagnola   +12 more
wiley   +1 more source

Classification of colon cancer patients into consensus molecular subtypes using support vector machines. [PDF]

Turk J Biol, 2023
Koçhan N, Dayanç BE.
europepmc   +1 more source

Robust Linear and Support Vector Regression

, 2000
The robust Huber M-estimator, a differentiable cost function that is quadratic for small errors and linear otherwise, is modeled exactly, in the original primal space of the problem, by an easily solvable simple convex quadratic program for both linear ...
Mangasarian, Olvi, Musicant, David
core