Results 101 to 110 of about 5,022,339 (396)

Evaluation of Psychoacoustic Sound Parameters for Sonification [PDF]

, 2017
Sonification designers have little theory or experimental evidence to guide the design of data-to-sound mappings. Many mappings use acoustic representations of data values which do not correspond with the listener's perception of how that data value ...
A L, Camille Peres S, Ekdale AA, Ferguson Sam, Hatano S, Maluski Sophie, Väljamäe A, Walker Bruce N   +7 more
core   +1 more source

QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds [PDF]

, 2022
Tawsifur Rahman, Nabil Ibtehaz, Amith Khandakar, Md. Sakib Abrar Hossain, Yosra Magdi Salih Mekki, Maymouna Ezeddin, Enamul Haque Bhuiyan, Mohamed Arselene Ayari, Anas Tahir, Yazan Qiblawey, Sakib Mahmud, Susu M. Zughaier, Tariq O. Abbas, Somaya Al-Máadeed, Muhammad E. H. Chowdhury   +14 more
openalex   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

Race-relevant cues influence the processing of linguistic variation: Evidence from African American English and Mainstream American English

Psychology of Language and Communication
Race-relevant cues, whether vocal or visual, shape how listeners process the incoming speech signal. In order to better understand how these cues inform sentence-level processing, we asked listeners to rate the plausibility of three different sentence ...
Beyer Tim, Renirie Tess, Andresen David
doaj   +1 more source

Introducing an electronic tracking tool into daily multidisciplinary discharge rounds on a medicine service: a quality improvement project to reduce length of stay

BMJ Open Quality, 2018
Background Inefficient coordination of care around discharge can increase length of stay, lead to ineffective transitions and contribute an unnecessary cost burden to patients and hospital systems.
Nicholas Meo, Evan Paul, Christopher Wilson, Janice Powers, Marinette Magbual, Kari Mae Miles   +5 more
doaj   +1 more source

First and second sound in a two-dimensional dilute Bose gas across the Berezinskii-Kosterlitz-Thouless transition

, 2014
We theoretically investigate first and second sound of a two-dimensional (2D) atomic Bose gas in harmonic traps by solving Landau's two-fluid hydrodynamic equations.
Hu, Hui, Liu, Xia-Ji
core   +1 more source

Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review [PDF]

, 2021
Ivo Sérgio Guimarães Brites, Lídia Martins da Silva, Jorge Luís Victória Barbosa, Sandro José Rigo, Sérgio D. Correia, Valderi Reis Quietinho Leithardt   +5 more
openalex   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Establishing baselines for predicting change in ambient sound metrics, marine mammal, and vessel occurrence within a US offshore wind energy area [PDF]

, 2023
Sofie M. Van Parijs, Annamaria I. DeAngelis, Tyler Aldrich, Ryan Gordon, Amanda Holdman, Jessica A. McCordic, Xavier Mouy, Thomas J. Rowell, Sara C. Tennant, Annabel Westell, G. E. Davis   +10 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source