Results 71 to 80 of about 29,948 (298)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Parental Involvement as an Antidote to Student Dropout in Higher Education: Students’ Perceptions of Dropout Risk

Open Education Studies
Abstract Since the expansion of higher education began, student motivation and institutional choice have been widely studied, yet the reasons behind high dropout rates in public institutions in Central and Eastern Europe remain poorly understood. In our research, we sought to answer the question of what subjective
Gabriella Pusztai, Anett Hrabéczy, Cintia Csók   +2 more
openaire   +2 more sources

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Factors affecting the probability of first-year medical student dropout in the UK : a logistic analysis for the entry cohorts of 1980-1992 [PDF]

Objectives: To assess the extent to which various factors influence the probability that anindividual medical student will drop out of medical school during their first year of study, focussing on the influence both of prior qualifications, such as A ...
Smith, Jeremy, Arulampalam, Wiji, Naylor, Robin   +2 more
core  

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source

Exit Exams and High School Dropout [PDF]

In this paper, I consider the impact of the expansion of exams students must pass in order to graduate high school on dropout rates. "Exit exams," as these tests are known, have become more common, and more difficult.
Marcotte, Dave E.
core  

Gone for Good? Determinants of School Dropout in Southern Italy [PDF]

The aim of the present paper is to gain some insight into the causes of dropping out of school and, more generally, of the factors that induce parents to review their choices about their child’s schooling careers.
Barone, Adriana, O'Higgins, Niall, D'Amato, Marcello, Caroleo, Floro Ernesto   +3 more
core   +2 more sources

A multivariate analysis of the early dropout using classical machine learning and local interpretable model-agnostic explanations

CTU Journal of Innovation and Sustainable Development
Student dropout rates can have a significant negative impact on both the development of educational institutions and the personal growth of students. Consequently, many institutions are focused on identifying key factors that contribute to dropout and ...
Thanh Hai Nguyen, Phuong Le, Tuyen Thanh Thi Nguyen, Anh Kim Su   +3 more
doaj   +3 more sources

Trajectories preceding student dropout

, 2019
In this chapter we use a process approach to better understand dropout from higher education. In our approach we combine theory on student attrition with theory on micro-level identity development, and study trajectories of exploration and commitment in an intensive longitudinal study spanning several months.
Mandy A.E. van der Gaag, E. Saskia Kunnen, Paul L.C. van Geert   +2 more
openaire   +3 more sources

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source