Results 61 to 70 of about 107,730 (260)

The voice in the Suzuki Training

, 2021
Este artigo trata a questão da voz no treinamento e no trabalho de direção de Tadashi Suzuki, estabelecendo relações entre fundamentos da prática do diretor japonês com o pensamento sobre a voz de Adriana Cavarero. O trabalho resultou da interação entre a experiência prática com o treinamento Suzuki e a reflexão baseada nos conceitos da filósofa ...
Carvalho, Glauce Priscila Ribeiro de, Storolli, Wânia Mara Agostini   +1 more
openaire   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Evaluation of the results of the prevention program “Protect your voice” implemented by The Greater Poland Center of Occupational Medicine of Poznań

Medycyna Pracy, 2017
Background: The aim of the study was to evaluate the rationale for training in voice emission and voice prophylaxis among teachers and to assess the effects of voice disorders rehabilitation in the selected group of teachers participating in the program “
Magdalena Jałowska, Grażyna Wośkowiak, Bożena Wiskirska-Woźnica   +2 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Safety voice for ergonomics (SAVE) project: protocol for a workplace cluster-randomized controlled trial to reduce musculoskeletal disorders in masonry apprentices

BMC Public Health, 2016
Background Masons have the highest rate of overexertion injuries among all construction trades and rank second for occupational back injuries in the United States. Identified ergonomic solutions are the primary method of reducing exposure to risk factors
Laurel D. Kincl, Dan Anton, Jennifer A. Hess, Douglas L. Weeks   +3 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Bamboo nodes of vocal cord: A description of 2 cases

Acta Oto-Laryngologica Case Reports
Bamboo nodes (BNs) is a rare disease detected in the Department of Otorhinolaryngology. Here, we reported two cases of BNs, highlighting a potential association of BNs with autoimmune diseases.
Xingsha Wu, Fei Liu, Shuai Yang, Yongliang Wu, Zuofeng Huang, Junyi Liang, Mingxing Tang, Shuo Li   +7 more
doaj   +1 more source

Virtual Air Traffic Flight Training Device Automated Air Traffic Control

Journal of Aviation/Aerospace Education & Research, 2008
A recent study of the university's Flight Training Device (FTD) use revealed possibilities for improving the training environment for ab initio pilots.
Nickolas D "Dan" Macchiarella, Christian D Meigs   +1 more
doaj   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source