Results 81 to 90 of about 133,997 (277)

A utilização de um software infantil na terapia fonoaudiológica de Distúrbio do Processamento Auditivo Central The use of a children software in the treatment of Central Auditory Processing Disorder

Revista da Sociedade Brasileira de Fonoaudiologia, 2008
O objetivo deste estudo foi verificar a efetividade do uso de recursos de informática na terapia fonoaudiológica do Distúrbio do Processamento Auditivo Central para a adequação das habilidades auditivas alteradas.
Juliana Schwambach Martins, Maria Madalena Canina Pinheiro, Helena Ferro Blasi   +2 more
doaj   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Exploring the relation between the central auditory processing functions and language development among Arabic-speaking children with attention deficit hyperactivity disorder

The Egyptian Journal of Otolaryngology
Background Debate still exists on the effect of central auditory processing disorder (CAPD) on the language of children with attention deficit hyperactive disorder (ADHD).
Mona Abdel-Fattah Hegazi, Ghada Moharram Khalil, Sarah Mosaad Mohamed, Mona Sameeh Khodeir   +3 more
doaj   +1 more source

Abnormal Speech Motor Control in Individuals with 16p11.2 Deletions. [PDF]

, 2018
Speech and motor deficits are highly prevalent (>70%) in individuals with the 600 kb BP4-BP5 16p11.2 deletion; however, the mechanisms that drive these deficits are unclear, limiting our ability to target interventions and advance treatment.
Demopoulos, Carly, Fregeau, Brieana, Henderson-Sabes, Jennifer, Houde, John F, Kothare, Hardik, Mizuiri, Danielle, Nagarajan, Srikantan S, Sherr, Elliott H, Tjernagel, Jennifer   +8 more
core   +3 more sources

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Rawan Atari - The Influence of Multi-Sensory Environment on Physiological Response in Children with Autism Spectrum Disorders and Children with Special Health Care Needs [PDF]

, 2014
A research study based on the sensory integration theory was conducted to examine the effects of multi-sensory environment (MSE) on physiological arousal in children with autism spectrum disorder (ASD) and special health care needs.
Atari, Rawan
core   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Synchrony of auditory brain responses predicts behavioral ability to keep still in children with autism spectrum disorder

NeuroImage: Clinical, 2016
The auditory-evoked P1m, recorded by magnetoencephalography, reflects a central auditory processing ability in human children. One recent study revealed that asynchrony of P1m between the right and left hemispheres reflected a central auditory processing
Yuko Yoshimura, Mitsuru Kikuchi, Hirotoshi Hiraishi, Chiaki Hasegawa, Tetsuya Takahashi, Gerard B. Remijn, Manabu Oi, Toshio Munesue, Haruhiro Higashida, Yoshio Minabe   +9 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source