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Apple polysaccharide improves age-matched cognitive impairment and intestinal aging through microbiota-gut-brain axis
The Apple polysaccharides (AP), extracted from the fruit of apple, has been used to treat multiple pathological diseases. In this study, we evaluated...
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Green method for 17-hydroxyprogesterone extraction and determination using PDMS stir bar sorptive extraction coupled with HPLC: optimization by response surface methodology
Quantifying small amounts of the 17-hydroxyprogesterone in various matrix is crucial for different purposes. In this study, a commercial...
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Predictive value of MRI-based deep learning model for lymphovascular invasion status in node-negative invasive breast cancer
To retrospectively assess the effectiveness of deep learning (DL) model, based on breast magnetic resonance imaging (MRI), in predicting preoperative...
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Impact of particle size and associated minerals on rare earth desorption and incorporation mechanisms in a South American ion-adsorption clay
This research delves into the intricate nexus of particle size, mineralogical composition, surface attributes, elemental map**, and rare earth...
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Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners
Streamflow forecasting holds a pivotal role in the effective management of water resources, flood control, hydropower generation, agricultural...
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Assessing long-term effects of gaseous air pollution exposure on mortality in the United States using a variant of difference-in-differences analysis
Long-term mortality effects of particulate air pollution have been investigated in a causal analytic frame, while causal evidence for associations...
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Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types
As vast histological archives are digitised, there is a pressing need to be able to associate specific tissue substructures and incident pathology to...
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Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data
Climate change is worsening existing vulnerabilities in develo** countries such as Yemen. This study examined the spatial distribution trends of...
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Local read haplotagging enables accurate long-read small variant calling
Long-read sequencing technology has enabled variant detection in difficult-to-map regions of the genome and enabled rapid genetic diagnosis in...
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Terminal deoxynucleotidyl transferase and CD84 identify human multi-potent lymphoid progenitors
Lymphoid specification in human hematopoietic progenitors is not fully understood. To better associate lymphoid identity with protein-level cell...
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Contact-electro-catalytic CO2 reduction from ambient air
Traditional catalytic techniques often encounter obstacles in the search for sustainable solutions for converting CO 2 into value-added products...
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GLP-1 receptor agonists’ impact on cardio-renal outcomes and mortality in T2D with acute kidney disease
Previous studies have explored the effects of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in reducing cardiovascular events in type 2...
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Ethylene electrosynthesis from low-concentrated acetylene via concave-surface enriched reactant and improved mass transfer
Electrocatalytic semihydrogenation of acetylene (C 2 H 2 ) provides a facile and petroleum-independent strategy for ethylene (C 2 H 4 ) production. However,...
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Efficient synthesis of some [1,3]-oxazine derivatives in the presence of solid acid nano catalyst based on ferrierite and study on their activity against breast cancer through molecular docking calculation
In this research, the magnetic solid acid nanocatalyst based on ferrierite has been prepared and used as catalyst for the green synthesis of some...
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Comparative assessment of the capability of machine learning-based radiomic models for predicting omental metastasis in locally advanced gastric cancer
The study aims to investigate the predictive capability of machine learning algorithms for omental metastasis in locally advanced gastric cancer...
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Ising meson spectroscopy on a noisy digital quantum simulator
Quantum simulation has the potential to be an indispensable technique for the investigation of non-perturbative phenomena in strongly-interacting...
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DropBlot: single-cell western blotting of chemically fixed cancer cells
Archived patient-derived tissue specimens play a central role in understanding disease and develo** therapies. To address specificity and...
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Detecting localized damage in cantilevered structures under nonstationary ambient excitations via Gabor spectral mode transmissibility functions
A method based on Gabor spectral mode transmissibility functions (GSMTFs) is proposed to detect local damage in a cantilevered structure under...
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Evaluating the predictive efficacy of first trimester biochemical markers (PAPP-A, fβ-hCG) in forecasting preterm delivery incidences
In this investigation, we explored the correlation between first-trimester biochemical markers and the incidence of preterm birth (PTB), irrespective...
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Voxelated bioprinting of modular double-network bio-ink droplets
Analogous of pixels to two-dimensional pictures, voxels—in the form of either small cubes or spheres—are the basic building blocks of...