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Technology and Dementia Preconference.
Alzheimers Dement
December 2024
School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.
Background: The success of therapeutic options for treatment of Alzheimer's disease (AD) and the growing emphasis for such treatment to commence in the pre-clinical phase makes it necessary to have robust empirical models of clinical disease progression to understand findings from clinical trials, allow clinicians to evaluate effects of new drugs, and to select individuals for future trials. Such models have been developed from relatively small samples, with incomplete data/substantial loss to follow-up. The ADOPIC consortium provides the largest complete AD natural history sample to date.
View Article and Find Full Text PDFA Missed Opportunity? Exploring Changes in Influenza Vaccination Coverage During the COVID-19 Pandemic: Data From 12 Countries Worldwide.
Influenza Other Respir Viruses
January 2025
Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands.
Background: Vaccination is a key measure in influenza control, yet global coverage rates remain low, although previous research reported an increase in influenza vaccination coverage rates (VCR) after the onset of the COVID-19 pandemic. This study aims to assess whether these changes were sustained over time by analyzing VCR trends from 2012 to 2023 in the countries included in the FluCov project.
Methods: Data on influenza VCR from 2012 to 2023 for different age and risk groups were extracted from national health organizations and international sources for countries included in the FluCov project.
Background: Measuring neurocognitive functioning in children requires validated, age-appropriate instruments that are adapted to the local cultural and linguistic context. We sought to evaluate the usability and psychometric properties of five tools that assess general intelligence, executive functioning, and sustained attention among Tanzanian children.
Methods: We adapted five age-appropriate neurocognitive assessment batteries from previously published assessment materials to the Tanzanian context.
A New Polymeric Hybrid Auxetic Structure Additively Manufactured by Fused Filament Fabrication 3D Printing: Machine Learning-Based Energy Absorption Prediction and Optimization.
Polymers (Basel)
December 2024
Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah 6715685420, Iran.
The significance of this paper is an investigation into the design, development, and optimization of a new polymeric hybrid auxetic structure by additive manufacturing (AM). This work will introduce an innovative class of polymeric hybrid auxetic structure by the integration of an arrow-head unit cell into a missing rib unit cell, which will be fabricated using fused filament fabrication (FFF) technique, that is, one subset of AM. The auxetic performance of the structure is validated through the measurement of its negative Poisson's ratio, confirming its potential for enhanced energy absorption.
View Article and Find Full Text PDFA High-Precision Temperature Compensation Method for TMR Weak Current Sensors Based on FPGA.
Micromachines (Basel)
November 2024
State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.
Tunnel magnetoresistance (TMR) sensors, known for their high sensitivity, efficiency, and compact size, are ideal for detecting weak currents, particularly leakage currents in smart grids. However, temperature variations can negatively impact their accuracy. This work investigates the effects of temperature variations on measurement accuracy.
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