Results 111 to 120 of about 53,240 (282)

Linker‐Engineered Dimeric Acceptors Afford Efficient Organic Photocatalytic Hydrogen Evolution via Tailored Nanomorphology for Long‐Lived Charge Accumulation

Advanced Materials, EarlyView.
We developed a new series of monomeric (MY) and dimeric acceptors incorporating unfused (DY1) and fused (DY2) linkers, which establish a controlled self‐aggregation trend of MY > DY2 > DY1. The DY2‐based system yields a bulk‐heterojunction nanoparticle morphology that appears to balance phase separation and interfacial accessibility, consistent with ...
Jin‐Woo Lee, Cheng Sun, Yang Song, Guanru Dong, Keren Ai, Stanley Alfred Cazaly, Flurin Eisner, Bumjoon J. Kim, Zeinab Hamid, Iain McCulloch, Yun‐Hi Kim, James R. Durrant   +11 more
wiley   +1 more source

Facioscapulohumeral muscular dystrophy Health Index: Japanese translation and validation study

The Facioscapulohumeral Muscular Dystrophy Health Index (FSHD-HI) is a patient-reported outcome measure developed for patients with FSHD. This study aimed to translate the FSHD-HI into Japanese (FSHD-HI-J), evaluate cultural adaptation, and examine its ...
Hiroto Takada (18279653), Tsuyoshi Matsumura (8843774), Masanori P. Takahashi (12677096), Kiyoka Enomoto (18279656), Haruo Fujino (7179365), Katsuhisa Ogata (16957052), Chad R. Heatwole (18279650), Osamu Imura (15462923), Harumasa Nakamura (4406716), Satoshi Kuru (7294016), Yuto Hayashi (18279659)   +10 more
core   +1 more source

Estimation of Transformers Health Index Based on the Markov Chain

, 2017
This paper presents a study on the application of the Markov Model (MM) to determine the transformer population states based on Health Index (HI). In total, 3195 oil samples from 373 transformers ranging in age from 1 to 25 years were analyzed.
Azis, Norhafiz, Jasni, Jasronita, Hairi, Mohd Hendra, Mohd Talib, Mohd Hairi, Jasronita Jasni, Norhafiz Azis, Muhammad Sharil Yahaya, Mohd Hendra Hairi, Mohd Ab Kadir, Yahaya, Muhammad Sharil, Ab Kadir, Mohd Zainal Abidin, Talib, Mohd Aizam, Mohd Zainal Abidin Ab Kadir, Muhammad Yahaya, Mohd Aizam Talib   +15 more
core   +1 more source

Neutron Reflectometry and Compression of Graded Hydrogel Surfaces

Advanced Materials Interfaces, EarlyView.
Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer, Alex Q. Zhang, Mehdi Karimi, Ahmed Al Kindi, Linnaea D. Uliassi, Nemea S. Courelli, Julia J. Ong, Conor D. Pugsley, Andrew R. Rhode, Erik B. Watkins, Rebecca J.L. Welbourn, Alexander Alexeev, Angela A. Pitenis   +12 more
wiley   +1 more source

Buckling‐Driven Linearity in Flexible Capacitive Pressure Sensors Based on a Three‐Dimensional Dual‐Pore Polyurethane Structure

Advanced Materials Technologies, EarlyView.
A flexible pressure sensor utilizing a 3D dual‐pore polyurethane structure is developed to overcome the intrinsic trade‐off between sensitivity and linearity. By inducing sequential buckling through distinct pore sizes and shapes, the device achieves highly linear and sensitive responses across a wide pressure range.
Jae Yeong Jang, Jaemin Choi, Young Jung
wiley   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

A Maintenance-Aware Temporal Contrastive Autoencoder for Health Index Learning of Marine Turbochargers Under Real-Ship Operation

Journal of Marine Science and Engineering
Health monitoring of marine turbochargers under real-ship operation is complicated by operating-condition variability, recurrent online cleaning, and limited fault labels. This study presents a maintenance-aware temporal contrastive autoencoder (TCCL-AE)
Tianfeng Fang, Zhongfan Li, Xinbo Zhu, Yifan Liu   +3 more
doaj   +1 more source

Color Center Formation in Silicon‐On‐Insulator for On‐Chip Photonic Integration

Advanced Optical Materials, EarlyView.
ABSTRACT Color centers in silicon have great potential as single photon sources for quantum technologies. Some of them – like the T center – also possess optically‐active spins that enable spin‐photon interfaces for generating entangled photons and multi‐spin registers. This paper explores the generation of several types of color centers in silicon for
Arnulf J. Snedker‐Nielsen, David R. Gongora, Magnus L. Madsen, Christian H. Christiansen, Eike L. Piehorsch, Mathias Ø. Augustesen, Elvedin Memisevic, Sangeeth Kallatt, Rodrigo A. Thomas, Mark K. Svendsen, James L. Webb, Peter K. Jeppesen, Marianne E. Bathen, Lasse Vines, Peter Granum, Stefano Paesani   +15 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source