Results 131 to 140 of about 165,078 (298)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Reply to “Comment on ‘De Novo Reconstruction of 3D Human Facial Images From DNA Sequence’”

Advanced Science, EarlyView.
ABSTRACT This manuscript is a formal response to the Comment by Wagner et al. regarding our publication “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence.” We clarify the methodological rationale, analytical procedures, and scientific scope of our original study, and we address several misconceptions arising in the Comment. We further
Mingqi Jiao, Jiarui Li, Chunman Zuo, Sijia Wang, Luonan Chen   +4 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

Dropout in postgraduate programs: a underexplored phenomenon – a scoping review

Cogent Education
Postgraduate education has become increasingly crucial for nations in recent years, contributing to scientific, technological, and social progress. However, high dropout rates may undermine the benefits of postgraduate education.
Lira Isis Valencia Quecano, Alfredo Guzmán Rincón, Sandra Barragán Moreno   +2 more
doaj   +1 more source

This School Works for Me: A Guide for Data Analysts [PDF]

, 2010
Details the data collection, synthesis, and analyses required to identify at-risk students and gauge progress, assess school and program performance, and optimize resource allocation to raise graduation rates.

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

Application of Cognitive Dissonance Theory to Reduce Dropouts in Distance Education System

Open Praxis, 2006
The Distance Education System has taken the shape of a gigantic and intricate system. Gigantic because it has huge number of students, programmes, courses, operations and problems in managing them.
G. Radhakrishna, Anurag Saxena
doaj   +2 more sources

Socioeconomic factors and university student dropout

International journal of social sciences
The investigation adopted a mixed approach (qualitative and quantitative) in order to analyze the different factors of dropout. Based on the analysis of the socioeconomic factors that constitute an element that affects student dropout at the Eloy Alfaro Lay University of Manabí ext.  Chone.
Glicerio Alberto Zamora-Vélez, Lilia del Rocío Bermúdez-Cevallos   +1 more
openaire   +1 more source

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

Exercise and Nutrition Prehabilitation Program During Preoperative Chemotherapy Followed by Esophagectomy in Older Patients With Esophageal Cancer: A Randomized Clinical Trial

Annals of Gastroenterological Surgery, EarlyView.
This prospective randomized trial evaluated whether prehabilitation, exercise and nutrition intervention, enhance skeletal muscle mass during neoadjuvant chemotherapy in older patients with esophageal cancer undergoing esophagectomy. We also investigated whether exercise alone was sufficient to increase skeletal muscle mass, and whether nutritional ...
Keijiro Sugimura, Takashi Kanemura, Tomohira Takeoka, Takahito Sugase, Norihiro Matsuura, Kazuyoshi Yamamoto, Masahiko Yano, Hiroshi Miyata   +7 more
wiley   +1 more source