Results 141 to 150 of about 74,071 (357)

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Examining Nursing Student Dropout Behavior: An Event History Analysis

, 2020
Michele Blackwell
openalex   +2 more sources

Dielectric‐Confinement‐Induced in‐Plane Photoelectric Anisotropy in Isotropic Quasi‐1D γ‐GaS Nanoribbon

Advanced Science, EarlyView.
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing, Jiamei Chen, Xing Xin, Peisong Peng, Zhihao Wu, Weiheng Zhong, Hanyu Zhang, Wanfu Shen, Jihua Zhang, Yuwei Shan, Yuanzheng Li, Xingang Zhao, Wei Xin, Fang Wang, Weida Hu, Haiyang Xu, Yichun Liu   +16 more
wiley   +1 more source

Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide

Advanced Electronic Materials, EarlyView.
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali, David Hardman, Yue Xie, Fumiya Iida   +3 more
wiley   +1 more source

The Dropout Crisis: Promising Approaches in Prevention and Recovery [PDF]

, 2004
The number of high school age students who do not complete high school is receiving increased attention as a serious challenge facing the educational system. This is happening for several reasons.
Adria Steinberg, Cheryl Almeida
core  

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Self‐Adhesive Conductive Elastomers for Gel‐Free Biopotential Recording

Advanced Electronic Materials, EarlyView.
σPOMaC, a self‐adhesive conductive citrate elastomer incorporating PEDOT:PSS and DBSA, enables gel‐free biopotential electrodes with stable conductivity and intrinsic skin adhesion. The composite exhibits low resistivity (∼ 0.02 Ω·cm), robust electrical performance during repeated use, and reliable on‐body ECG acquisition comparable to Ag/AgCl ...
Kirstie M. K. Queener, Alec Brewer, He Sun, Jack Twiddy, Vladimir A. Pozdin, Koji Sode, Alper Bozkurt, Michael Daniele   +7 more
wiley   +1 more source

Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification

Journal of Applied Science and Engineering
It has become one of the prime focus areas in the academic world, starting from schools to higher educational institutions, that deal with student academic performance predictions for the establishment of effective policies aimed at upraising academic ...
Nana Wang
doaj   +1 more source

Building a Learning Agenda Around Disconnected Youth [PDF]

, 2010
In December 2007, the Bill & Melinda Gates Foundation gave MDRC a grant to conduct reconnaissance on promising strategies to reengage disconnected young people and improve their long-term outcomes.
Dan Bloom, Rob Ivry, Saskia Levy Thompson   +2 more
core  

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source