Results 71 to 80 of about 3,934,462 (338)

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

open access: yesAdvanced 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   +19 more
wiley   +1 more source

School dropouts or pushouts? Overcoming barriers for the right to education [PDF]

open access: yes, 2010
Persistently high dropout rates are one of the biggest challenges to fulfilling the right to education in India. This paper attempts to assess the magnitude of the problem of dropout.
Reddy, Anugula N., Sinha, Shantha
core  

A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection

open access: yesAdvanced Materials, EarlyView.
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing   +10 more
wiley   +1 more source

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

open access: yes, 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  

The Long-Term Impact of Systemic Student Support in Elementary School: Reducing High School Dropout

open access: yesAERA Open, 2018
Dropping out of high school has adverse consequences, including negative effects on employment, lifetime earnings, and physical health. Students often fail to complete high school for complex reasons that often manifest long before they reach high school.
Terrence J. Lee-St. John   +7 more
semanticscholar   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

Forgotten Youth: Re-Engaging Students Through Dropout Recovery [PDF]

open access: yes, 2012
Each year, thousands of Massachusetts students drop out of school. The path forward for these students is difficult, and failing to fully educate the next generation of workers and leaders has substantial long-term consequences for our shared economic ...

core  

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Assessing the effect of home-to-school distance on student dropout rate in Adi-Keyih sub-zone, Eritrea

open access: yesInternational Journal of Educational Research Open
This study assessing the effect of home-to-school distance on student's dropout rate in Adi-Keyih sub-zone, Southern administrative region, Eritrea. In the current study, correlational method is used to test the significance of home-to-school distance on
Tsinat Yemane Zeragaber   +2 more
doaj   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

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