25 papers · ranked by Valyu relevance
Man-Ying Wang, Gail A. Greendale, Sean S.-Y. Yu, George J. Salem
Background. Yoga Empowers Seniors Study (YESS) quantified physical demands associated with yoga performance using biomechanical methods. This study evaluated the efficacy of the program on physical function outcomes. Methods. Twenty community-dwelling older adults aged 70.7 ± 3.8 years attended biweekly 60-minute Hatha…
Chichong Wu, Manwai Cheong, Yan Wang, Xiuqiang Wang + 5 more
'Minghui Li' 'Siman Lei' 'Caio Victor Sousa' 'Samuel da Silva Aguiar'] Functional training has become a popular training method in different sports, yet limited studies have focused on paddle sports. The purpose of this study was to evaluate the effects of functional training on functional movement and athletic…
Junyan Liu, Lei Shang, Hongjun Yu
The study aimed to analyze the effects of functional training (FT) on athletes muscle strength compared to traditional resistance training (TRT). A systematic search was conducted in 6 databases from inception to January 2024. Baseline and outcome measures from randomized controlled trials (RCT) were assessed for the…
Timothy S. Marks, Gordon Muir Giles, Dorothy Farrar Edwards
Background Understanding the association of older adults’ cognitive ability with performance of instrumental activities of daily living (IADL) is critical to identifying their community health care support needs. We compared differences in performance-based IADL assessment scores among older adults according to their…
Anshul Jindal, Mohak Chadha, Shajulin Benedict, Michael Gerndt
Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks. Serverless applications follow this model, where the application is decomposed into a set of fine-grained Function-as-a-Service (FaaS) functions.…
Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng + 1 more
—Serverless computing enables a new way of building and scaling cloud applications by allowing developers to write fine-grained serverless or cloud functions. The execution duration of a cloud function is typically short—ranging from a few milliseconds to hundreds of seconds. However, due to resource contentions caused…
Martin Grambow, Tim Dockenfuß, Trever Schirmer, Nils Japke + 1 more
'David Bermbach'] In this paper, we describe a wrapper approach that enables the Randomized Multiple Interleaved Trials (RMIT) benchmark execution methodology in FaaS environments and use bootstrapping percentile intervals to derive more accurate confidence intervals of detected performance changes. We evaluate our…
Wensheng Xiao, Kim Geok Soh, Mohd Rozilee Wazir Norjali Wazir, Othman Talib + 6 more
There is evidence that functional training is beneficial for the overall physical fitness of athletes. However, there is a lack of a systematic review focused on the effects of functional training on athletes' physical fitness. Thus, the aimed of the present review is to clarify the effects of functional training on…
Marzo Edir Da Silva-Grigoletto, Marcos Raphael Pereira-Monteiro, José Carlos Aragão-Santos, Alan Bruno Silva Vasconcelos + 2 more
'José Carlos Aragão-Santos' 'Alan Bruno Silva Vasconcelos' 'Pablo Jorge Marcos-Pardo' 'Leonardo de Sousa Fortes'] Introduction: Physical exercise (PE) positively affects the nervous system, impacting morphology and physiology. It increases brain gray and white matter, improves cerebral blood flow, and stimulates…
Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu
Serverless computing is an emerging cloud computing paradigm, which allows software engineers to develop applications at the granularity of function (called serverless functions). However, multiple identical runs of the same serverless functions can show different performance (i.e., response latencies) due to the…
Jonathan Fine, Anand Rasjashekar, Gaurav Chopra
We present a deep learning method for identifying all the functional groups of unknown compounds using a combination of FTIR and MS spectra without the use of any database, pre-established rules, procedures, or peak-matching methods. We derive patterns and correlations directly from spectral data representing multiple…
Bernardo N. Ide, Amanda P. Silvatti, Moacir Marocolo, Clarcson P. C. Santos + 3 more
This conceptual review investigates whether functional training (FT) is a different approach from traditional strength, power, flexibility, and endurance (aerobic or cardiorespiratory) training already adopted in the physical training plan of professional, recreational athletes, healthy, and older adults. The 20 most…
Ruben C. Gur, Ellyn R. Butler, Tyler M. Moore, Adon F.G. Rosen + 13 more
The Parieto-Frontal Integration Theory (PFIT) identified a fronto-parietal network of regions where individual differences in brain parameters most strongly relate to cognitive performance. PFIT was supported and extended in adult samples, but not in youths or within single-scanner well-powered multimodal studies. We…
Dev Punjabi, Yu-Chieh Huang, Laura Holzhauer, Pierre Tremouilhac + 3 more
In this study, we propose a neural network based approach to analyze IR spectra and detect the presence of functional groups. Our neural network architecture is based on the concept of learning split representations. We demonstrate that our method achieves favorable validation performance using the NIST dataset.…
Eric Schulz, Joshua B. Tenenbaum, David Duvenaud, Maarten Speekenbrink + 1 more
How do people recognize and learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is achieved by harnessing compositionality: complex structure is decomposed into simpler building blocks. We formalize this idea within the framework of Bayesian…
Marisa K. Heckner, Edna C. Cieslik, Lya K. Paas Oliveros, Simon B. Eickhoff + 2 more
Healthy aging is associated with structural and functional network changes in the brain, which have been linked to deterioration in executive functioning (EF), while their neural implementation at the individual level remains unclear. As the biomarker potential of individual resting-state functional connectivity (RSFC)…
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu Babuji + 5 more
'Anna Woodard' 'Ben Blaiszik' 'Steven Tuecke' 'Ian Foster' 'Kyle Chard'] Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. These new methods require new approaches for scientific computing in…
Chloe A. Dziego, Ina Bornkessel-Schlesewsky, Sophie Jano, Alex Chatburn + 7 more
The endeavour to understand human cognition has largely relied upon investigation of task-related brain activity. However, resting-state brain activity can also offer insights into individual information processing and performance capabilities. Previous research has identified electroencephalographic resting-state…
Qiujian Xu, Meihui Li, Guoqiang Chen, Xiubo Ren + 10 more
'Junrui Li' 'Xinran Yuan' 'Siqi Liu' 'Miaomiao Yang' 'Mufan Chen' 'Bo Wang' 'Peng Zhang' 'Huiguo Ma' 'Jin Huang'] This study designs and develops a wearable exoskeleton piano assistance system for individuals recovering from neurological injuries, aiming to help users regain the ability to perform complex tasks such as…
Authors not listed
Shaping supramolecular hydrogels formed using low molecular weight gelators (LMWGs) into architecturally complex and multifunctional materials is a significant challenge. Here, we introduce a strategy to mechanically twist multiple 1D supramolecular gel filaments (gel noodles) into robust, multifunctional, and…
Md. Moshiur Rahman Tushar, Zaki Alam Pushan, Nirupam Aich, Lewis Rowles
Per- and polyfluoroalkyl substances (PFAS) are emerging water contaminants with significant environmental and health impacts, posing challenges in water treatment due to their degradation resistance. This study reviews 10 papers on the sustainability of technologies for PFAS removal, revealing a critical literature gap…
Shannon Bonke, Giovanni Trezza, Luca Bergamasco, Hongwei Song + 4 more
The sunlight-driven reduction of CO2 into fuels and platform chemicals is a promising approach to enable a circular economy. However, established optimisation approaches are poorly suited to multi-variable multi-metric photocatalytic systems because they aim to optimise one performance metric while sacrificing the…
Aurora I. Ramos-Nuñez, Simon Fischer‐Baum, Randi C. Martin, Qiuhai Yue + 2 more
'Qiuhai Yue' 'Fengdan Ye' 'Michael W. Deem'] In cognitive network neuroscience, the connectivity and community structure of the brain network is related to measures of cognitive performance, like attention and memory. Research in this emerging discipline has largely focused on two measures of connectivity – modularity…
Mohammad Hamidul Islam, Shaila Afroj, Nazmul Karim
High-performance fibre reinforced polymer (FRP) composites offer excellent specific strength and stiffness when compared to high-density metallic materials. However, their inherent brittleness leads to sudden and catastrophic failure without sufficient pre-warning, rendering them unsuitable for many applications. To…
Iseult A. Cremen, Richard G. Carson
In the past decade, there has emerged a vast research literature dealing with attempts to harness brain plasticity in older adults, with a view to improving cognitive function. Since cognitive training (CT) has shown restricted utility in this regard, attention has increasingly turned to interventions that use adjunct…