Nurse leaders can spend a significant part of their careers traveling. Self-care and personal mindfulness need not suffer when we are away from home and our normal routine. Personal health plans can be adapted in practical ways to travel with you. So pack your bags with whatever feeds your self-nurturing needs, grab some kale chips and comfortable shoes, and let's get going!
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Biomarkers.
Alzheimers Dement
December 2024
Centre for Brain Research (CBR), Indian Institute of Science, Bengaluru, Karnataka, India.
Background: Deep Neural Networks (DNNs) have emerged as powerful tools in the biomedical field, particularly for the early detection of neurodegenerative diseases. Despite their complexity and data-intensive nature, simpler fully connected Convolutional Neural Network (SFCN) architectures have shown effectiveness in accurately discerning between subjects affected by Alzheimer's disease (AD) and healthy controls (HC). This model draws inspiration from the work of Peng H et al.
View Article and Find Full Text PDFBreaking the Trade-Off Between Electrical Conductivity and Mechanical Strength in Bulk Graphite Using Metal-Organic Framework-Derived Precursors.
Adv Sci (Weinh)
January 2025
State Key Laboratory for Modification of Chemical Fibers and Polymer Materials & College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China.
High-performance bulk graphite (HPBG) that simultaneously integrates superior electrical conductivity and excellent strength is in high demand, yet it remains critical and challenging. Herein a novel approach is introduced utilizing MOF-derived nanoporous metal/carbon composites as precursors to circumvent this traditional trade-off. The resulting bulk graphite, composed of densely packed multilayered graphene sheets functionalized with diverse cobalt forms (nanoparticles, single atoms, and clusters), exhibits unprecedented electrical conductivity in all directions (in-plane: 7311 S cm⁻¹, out-of-plane: 5541 S cm⁻¹) and excellent mechanical strength (flexural: 101.
View Article and Find Full Text PDFDeveloping Topics.
Alzheimers Dement
December 2024
Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH,, Baltimore, MD, USA.
Background: Cognitive impairment with age remains undetected until it interferes daily life activity or presents dementia symptoms. In the US, 61% of dementia population is not diagnosed, which is in part due to limited sensitivity of clinical neuroimaging modalities in assessing early gray matter (GM) changes. Here we look at microstructural changes in GM using mean apparent propagator (MAP-MRI) in cognitively underperforming (CU) and healthy aging (HA) cohorts, grouped according to their cognitive performance based on the NIH Toolbox.
View Article and Find Full Text PDF[O-arm Versus C-arm: Comparison of the Learning Curves and Accuracy in Transpedicular Screw Fixation of Lumbar Spondylolisthesis].
Acta Chir Orthop Traumatol Cech
January 2025
Neurochirurgická klinika Fakultní nemocnice Olomouc.
Purpose Of The Study: The annual number of spinal fusion procedures has been increasing and is well documented worldwide. The O-arm is slowly becoming the standard for transpedicular screw insertion. The accuracy and safety of this method have been confirmed by many studies.
View Article and Find Full Text PDFSkin-Inspired and Self-Powered Piezoionic Sensors for Smart Wearable Applications.
Small
January 2025
College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, Jiangsu, 215123, China.
Bio-inspired by tactile function of human skin, piezoionic skin sensors recognize strain and stress through converting mechanical stimulus into electrical signals based on ion transfer. However, ion transfer inside sensors is significantly restricted by the lack of hierarchical structure of electrode materials, and then impedes practical application. Here, a durable nanocomposite electrode is developed based on carbon nanotubes and graphene, and integrated into piezoionic sensors for smart wearable applications, such as facial expression and exercise posture recognitions.
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