Results 101 to 110 of about 11,928,939 (371)

Development of a Basilar Membrane-Inspired Mechanical Spectrum Analyzer Using Metastructures for Enhanced Frequency Selectivity

Actuators
This study introduces a mechanical spectrum analyzer (MSA) inspired by the tonotopic organization of the basilar membrane (BM), designed to achieve two critical features. First, it replicates the traveling-wave behavior of the BM, characterized by energy
Shantanu H. Chavan, Vijaya V. N. Sriram Malladi   +1 more
doaj   +1 more source

Organisational factors that facilitate research use in public health policy-making: a scoping review

Health Research Policy and Systems, 2019
Background Although important syntheses and theoretical works exist in relation to understanding the organisational factors that facilitate research use, these contributions differ in their scope and object of study as well as their theoretical ...
Mette Winge Jakobsen, Leena Eklund Karlsson, Thomas Skovgaard, Arja R. Aro   +3 more
doaj   +1 more source

Correlates of Meeting the Muscle-Strengthening Exercise Guidelines in Children and Adolescent

Frontiers in Public Health, 2022
This study aimed to explore the potential correlates of muscle-strengthening exercise (MSE) in Chinese children and adolescents. A convenient sample (n = 3733) was recruited into this study.
Jiayi Gu, Jin-Tao Hong, Youliang Lin, Jin Yan, Jin Yan, Sitong Chen   +5 more
doaj   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition [PDF]

arXiv, 2022
The development of IoT technology enables a variety of sensors can be integrated into mobile devices. Human Activity Recognition (HAR) based on sensor data has become an active research topic in the field of machine learning and ubiquitous computing. However, due to the inconsistent frequency of human activities, the amount of data for each activity in
arxiv  

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

Molecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials

Advanced Engineering Materials, EarlyView., 2023
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis, Kaoutar Radi, Zifan Wang, Dennis M. Kochmann   +3 more
wiley   +1 more source

Cross-sectional associations between screen time and the selected lifestyle behaviors in adolescents

Frontiers in Public Health, 2022
BackgroundIn adolescents, excessive screen time leads to many adverse health outcomes and is associated with a variety of lifestyle behaviors. This study was conducted to investigate the associations between the two types of screen time and a variety of ...
Huiying Fan, Jin Yan, Jin Yan, Zhen Yang, Kaixin Liang, Sitong Chen   +5 more
doaj   +1 more source

Responsible Active Learning via Human-in-the-loop Peer Study [PDF]

arXiv, 2022
Active learning has been proposed to reduce data annotation efforts by only manually labelling representative data samples for training. Meanwhile, recent active learning applications have benefited a lot from cloud computing services with not only sufficient computational resources but also crowdsourcing frameworks that include many humans in the ...
arxiv  

Active Learning with Expert Advice [PDF]

, 2013
Conventional learning with expert advice methods assumes a learner is always receiving the outcome (e.g., class labels) of every incoming training instance at the end of each trial. In real applications, acquiring the outcome from oracle can be costly or
Hoi, Steven, Zhao, Peilin, Zhuang, Jinfeng   +2 more
core   +3 more sources