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Background: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016.

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Balance is crucial for various athletic tasks, and accurately assessing balance ability among elite athletes using simple and accessible measurement methods is a significant challenge in sports science. A common approach to balance assessment involves recording center of pressure (CoP) displacements using force platforms, with various indicators proposed to distinguish subtle balance differences. However, these indicators have not reached a consensus, and it remains unclear whether these analyses alone can fully explain the complex interactions of postural control.

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Objective: This meta-analysis elucidates the efficacy of the Transradial Band Device (TR Band) in minimizing complications like radial artery occlusion and hematoma, preserving heart health, and enhancing blood flow post-transradial catheterization.

Methods: A comprehensive literature search across databases including PubMed, Cochrane, and Embase examined the impact of radial artery compression techniques and decompression times on complications. Data from 13 studies were analyzed using R 4.

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Resolving the molecular basis of a Mendelian condition remains challenging owing to the diverse mechanisms by which genetic variants cause disease. To address this, we developed a synchronized long-read genome, methylome, epigenome and transcriptome sequencing approach, which enables accurate single-nucleotide, insertion-deletion and structural variant calling and diploid de novo genome assembly. This permits the simultaneous elucidation of haplotype-resolved CpG methylation, chromatin accessibility and full-length transcript information in a single long-read sequencing run.

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Impact of land prices on corporate carbon emission intensity.

Sci Rep

January 2025

School of Management, Shandong Second Medical University, No. 7166, Baotong West Street, Weifang, 261053, Shandong, China.

This study examines the impact of micro-level land prices on corporate carbon emission intensity and identifies the underlying mechanisms. Using a unique dataset of Chinese industrial enterprises from 2000 to 2014, we employ a two-way fixed effects econometric model, alongside instrumental variable and Difference-in-Differences (DID) techniques, to address endogeneity concerns. Our findings reveal that a 1% increase in land prices leads to a 0.

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