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Trajectory of Cardiogenic Dementia: A New Perspective.
J Cell Mol Med
January 2025
Department of Research & Development, AFNP Med, Wien, Austria.
The functions of the heart and brain are closely linked and essential to support human life by the heart-brain axis, which is a complex interconnection between the heart and brain. Also, cardiac function and cerebral blood flow regulate the brain's metabolism and function. Therefore, deterioration of cardiac function may affect cognitive function and may increase the risk of dementia.
View Article and Find Full Text PDFSimultaneous and Ultraspecific Optical Detection of Multiple miRNAs Using a Liquid Flow-Based Microfluidic Assay.
ACS Appl Mater Interfaces
January 2025
Department of Chemistry, Yeungnam University, 280 Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do 38541, Republic of Korea.
Recent studies have reported that the cause and progression of many diseases are closely related to complex and diverse gene regulation involving multiple microRNAs (miRNAs). However, most existing methods for miRNA detection typically deal with one sample at a time, which limits the achievement of high diagnostic accuracy for diseases associated with multiple gene dysregulations. Herein, we develop a liquid flow-based microfluidic optical assay for the simple and reliable detection of two different target miRNAs simultaneously at room temperature without any enzymatic reactions.
View Article and Find Full Text PDFEnsemble learning based sustainable approach to rebuilding metal structures prediction.
Sci Rep
January 2025
Department of Industry Engineering, Poltava State Agrarian University, Poltava, Ukraine.
The effective implementation of the European Green Deal is based on closing cycles by means of reusing products and extending their durability, especially for steel products in the construction industry. The Life Cycle Assessment gives an opportunity to determine the potential impact caused on the environment by building structures and it is used mainly at the early design stage. At the same time, there are significant gaps when it comes to predicting properties of steel products at the last stage of the life cycle of existing buildings in the End of Life Stage (C1-C4) phases and especially D-Benefits and Loads Beyond the System Boundary.
View Article and Find Full Text PDFToward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy.
J Imaging
December 2024
Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.
In recent years, synthetic Computed Tomography (CT) images generated from Magnetic Resonance (MR) or Cone Beam Computed Tomography (CBCT) acquisitions have been shown to be comparable to real CT images in terms of dose computation for radiotherapy simulation. However, until now, there has been no independent strategy to assess the quality of each synthetic image in the absence of ground truth. In this work, we propose a Deep Learning (DL)-based framework to predict the accuracy of synthetic CT in terms of Mean Absolute Error (MAE) without the need for a ground truth (GT).
View Article and Find Full Text PDFExploring prevention and control mechanisms of youth substance use: a case of North Wollo and Waghimra, Northeast Ethiopia.
Front Public Health
December 2024
Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Substance use among youths is a significant global and local issue. Youth who engage in substance use often experience various psychosocial, health, economic, and other problems. While governmental and non-governmental organizations in North Wollo and Waghimra Zones offer social services, their effectiveness in preventing and controlling substance use remains largely unstudied.
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