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Iron oxide nanoparticles coated with bioactive materials: a viable theragnostic strategy to improve osteosarcoma treatment.
Discov Nano
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School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Osteosarcoma (OS) is distinguished as a high-grade malignant tumor, characterized by rapid systemic metastasis, particularly to the lungs, resulting in very low survival rates. Understanding the complexities of tumor development and mutation is the need of the hour for the advancement of targeted therapies in cancer care. A significant innovation in this area is the use of nanotechnology, specifically nanoparticles, to tackle various challenges in cancer treatment.
View Article and Find Full Text PDFUnique hierarchical NiFe-LDH/Ni/NiCoS heterostructure arrays on nickel foam for the improvement of overall water splitting activity.
Nanoscale
January 2025
Chongqing Key Laboratory of Inorganic Functional Materials, College of Chemistry, Chongqing Normal University, Chongqing, 401331, PR China.
The development of environmentally friendly, high-efficiency, stable, earth-abundant and non-precious metal-based electrocatalysts with fast kinetics and low overpotential for oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) is of exceeding significance but still challenging. Herein, a bifunctional electrode of unique hierarchical NiFe-LDH/Ni/NiCoS/NF (NiFe-LDH = nickel-iron layered double hydroxide and NF = nickel foam) electrocatalytic architecture, which is built up from NiFe-LDH nanosheets, Ni nanoparticles and NiCoS nanoneedles sequentially arrayed on a porous NF substrate, has been prepared by a facile hydrothermal and electrodeposition method. This electrocatalytic architecture is binder-free and its outer NiFe-LDH nanosheets can effectively prevent the oxidation of inner Ni nanoparticles and corrosion of NiCoS nanoneedles during water electrolysis.
View Article and Find Full Text PDFWeb-Based Exercise and Nutrition Intervention to Improve Leg Muscle Strength and Physical Functioning in Older Adults: Pre-Post Pilot Study.
JMIR Form Res
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Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, PO Box 17, Wageningen, 6700 AA, Netherlands.
Background: The lifestyle intervention ProMuscle, which combines resistance exercise and an increased protein intake, was effective in improving muscle strength, muscle mass, and physical functioning in older adults. However, due to a growing shortage of health care professionals, the rapidly growing aging population cannot be personally guided in the future. Therefore, Uni2Move, a scalable web-based variant of ProMuscle, was designed to reach larger groups of older adults without putting additional burden on health care professionals.
View Article and Find Full Text PDFSub-micrometer scale synchrotron x-ray fluorescence measurements of trace elements in teeth compared with laser ablation inductively coupled plasma mass spectrometry.
J Expo Sci Environ Epidemiol
January 2025
Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Background: Elemental analysis of teeth allows for exposure assessment during critical windows of development and is increasingly used to link early life exposures and health. The measurement of inorganic elements in teeth is challenging; laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is the most widely used technique.
Objective: Both synchrotron x-ray fluorescence (SXRF) and LA-ICP-MS have the capability to measure elemental distributions in teeth with each having distinct advantages and disadvantages.
Artificial intelligence for brain neuroanatomical segmentation in magnetic resonance imaging: A literature review.
J Clin Neurosci
January 2025
Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW, Australia; Computational NeuroSurgery (CNS) Lab, Macquarie University, NSW, Australia.
Purpose: This literature review aims to synthesise current research on the application of artificial intelligence (AI) for the segmentation of brain neuroanatomical structures in magnetic resonance imaging (MRI).
Methods: A literature search was conducted using the databases Embase, Medline, Scopus, and Web of Science, and captured articles were assessed for inclusion in the review. Data extraction was performed for the summary of the AI model used, and key findings of each article, advantages and disadvantages were identified.
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