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| http://dx.doi.org/10.7861/futurehosp.6-1-s56 | DOI Listing |
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A Community-Engaged, Mixed-Methods Approach to Prioritizing Needs in a Statewide Assessment of Community Cancer Needs.
Prev Chronic Dis
December 2024
Community Impact Office, Markey Cancer Center, University of Kentucky, Lexington.
Introduction: Kentucky has the highest all-site cancer incidence and death rate in the US. In 2021, the University of Kentucky Markey Cancer Center convened a steering committee to conduct a statewide community cancer needs assessment (CNA). The goal of the final CNA phase was to gather community input on prioritizing Kentucky's cancer-related needs and ways to address them.
View Article and Find Full Text PDFPhysical Activity Engagement After Tai Ji Quan Intervention Among Older Adults With Mild Cognitive Impairment or Memory Concerns: A Secondary Analysis of a Randomized Clinical Trial.
JAMA Netw Open
December 2024
Knight Cancer Institute, Oregon Health & Science University, Portland.
Importance: The effect of exercise interventions on increasing and sustaining moderate to vigorous physical activity (MVPA) among older adults with mild cognitive impairment (MCI), who are at heightened risk of dementia, remains unclear.
Objective: To examine whether participation in a 6-month, supervised, home-based tai ji quan intervention increases MVPA among US community-dwelling older adults at 1 year.
Design, Setting, And Participants: This study was a secondary analysis of a parallel-group, outcome assessor-blinded, randomized clinical trial conducted virtually at participants' homes.
Efficient Implementation of Monte Carlo Algorithms on Graphical Processing Units for Simulation of Adsorption in Porous Materials.
J Chem Theory Comput
December 2024
Department of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States.
Article Synopsis
- - gRASPA is an open-source Monte Carlo simulation code that enhances speed and functionality by utilizing GPUs, offering better performance than traditional CPU methods for various types of simulations.
- - The software supports advanced features like grand canonical transition matrix Monte Carlo (GC-TMMC) and can handle different moves for components in metal-organic frameworks (MOFs), aiding in precise free energy calculations and adsorption studies.
- - It includes a High-Throughput Computing (HTC) mode for conducting multiple simulations on a single GPU, integrates machine learning potentials for improved accuracy, and promotes scientific openness by allowing users to customize and extend the code.
Article Synopsis
- Understanding how climate impacts natural populations is crucial in Ecology, but direct studies linking the two are scarce.
- Antecedent effect models utilize climate and population data to identify correlated time periods for responses like survival or reproduction, acting as both predictive and exploratory tools.
- In comparing these models against simpler ones, the study found that while climate models sometimes didn't outperform basic models, they effectively revealed meaningful patterns in specific case studies, suggesting their value in limited sample datasets.
Understanding the Significance of Layer Bonding in Melt Electrowriting.
Adv Sci (Weinh)
December 2024
T3mPLATE, Harry Perkins Institute of Medical Research, QEII Medical Centre Nedlands and Centre for Medical Research, The University of Western Australia, Perth, WA, 6009, Australia.
Melt electrowriting (MEW) is a high-resolution additive manufacturing technology capable of depositing micrometric fibers onto a moving collector to form 3D scaffolds of controlled mechanical properties. While the critical role of layer bonding to achieve mechanical integrity in fused deposition modeling has been widely reported, it remains largely unknown in MEW, in part due to a lack of methods to assess it. Here, a systematic framework is developed to unravel the significance of layer bonding in MEW scaffolds and its ultimate effect on their mechanical properties.
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