Results 231 to 240 of about 3,934,462 (338)

Predicting school dropout with administrative data: new evidence from Guatemala and Honduras

, 2017
M. Adelman, Francisco Haimovich, Andrés Ham, Emmanuel Vazquez   +3 more
semanticscholar   +1 more source

The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

Human Resource Development Quarterly, EarlyView.
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley   +1 more source

Do Two Weeks in a Learning Camp after Ninth Grade Make a Difference? Experiences of Demotivated Boys with an Increased Risk of School Dropout. [PDF]

Behav Sci (Basel)
Ramsdal GH, Wynn R.
europepmc   +1 more source

Feasibility and acceptability of a future-oriented empowerment program to prevent substance use and school dropout among school-disengaged youth. [PDF]

Public Health Nurs, 2020
Stoddard SA, Hughesdon K, Khan A, Zimmerman MA.   +3 more
europepmc   +1 more source

Embedded AI‐Enabled Wearable Piezoelectric Sensing Cluster for Real‐Time Multijoint Motion Recognition

Interdisciplinary Materials, EarlyView.
The distributed multijoint motion recognition cluster based on polyvinylidene fluoride membranes with high piezoelectric properties adopted a one‐master‐multiple‐slaves architecture and multipoint wireless collaboration to synchronously recognize motions of the wrist, elbow, and shoulder.
Zhongkun Wang, Jiagui Li, Puen Zhou, Yuanzheng Zhang, Yuhao Chen, Yonghui Wu, Yaju Zhang, Yong Qin, Haiwu Zheng   +8 more
wiley   +1 more source

Prospective associations between adolescent risky substance use and school dropout and the role of externalising and internalising problems. [PDF]

Nordisk Alkohol Nark
Heradstveit O, Hysing M, Bøe T, Nilsen SA, Sivertsen B, Bretteville-Jensen AL, Askeland KG.   +6 more
europepmc   +1 more source

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

InfoMat, EarlyView.
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu, Weilong Huang, Feihong Zhu, Yongjie Cai, Xiaolong Li, Yang Yang, Xiao Ma, Zhixiang Wei, Wei Chen, Huipeng Chen   +9 more
wiley   +1 more source

Bio‐inspired inorganic/organic semiconductor heterostructure synapses with UV–visible–NIR wavelength‐dependent responses for image recognition

InfoMat, EarlyView.
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He, Huaiyu Gao, Junyao Zhang, Hongrong Chang, Zhiyu Zhang, Jianda Xu, Jie Yang, Jia Huang   +7 more
wiley   +1 more source

Magnetocardiography combined with machine learning for pulmonary hypertension detection and improved short‐term risk assessment

Interdisciplinary Medicine, EarlyView.
Magnetocardiography (MCG) enables non‐invasive mapping of cardiac magnetic fields. In this study, an MCG‐based machine learning model detects pulmonary hypertension with robust performance. Furthermore, MCG features may improve the accuracy of short‐term risk assessment.
Yuankun Qi, Jiaqi Liang, Kai Ma, Xiaoyu Hu, Yu Zhang, Xiaole Han, Dong Xu, Xu Zhang, Xiaopei Cui, Min Xiang, Hongyu Zhang, Jiancheng Fang   +11 more
wiley   +1 more source