Constructing the T10 spinal cord injury model. by Xinhui Zhang (1624039)

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Expression of NeuN and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Expression of IBA1 and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Statistically Significant Results for Heart Rate Variability (HRV) Indices with Judgment Variables as Covariates. by David Vagni (8060432)

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Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Significant clusters: Coronal PET images showing brain regions with significant (p < 0.001 and K > 50) metabolic inhibition (A-G) and activation (H-I) in rats following cocaine sel... by Christopher Rowan (21499924)

S1 File - Utilization of psychotropic drugs in Serbia from 2006 to 2021: Patterns before and during the COVID-19 pandemic by Jelena Filimonovic (22305307)

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Anion-Assisted Glycosylation of Galactose: A Computational Study by Kerli Tali (22769704)

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Migration map of the center of gravity of older adults’ health level in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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GTWR results of factors affecting the health level of older adults in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Interaction hotspot maps of influencing factors on older adults’ health level in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Overview of the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Temporal changes of older adults’ health level in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Spatiotemporal pattern evolution of the health level of older adults in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Spatiotemporal changes in factors influencing the health level of older adults in the Yangtze River Economic Belt, 2010–2020. by Mengmeng Yang (475288)

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Indicators and data sources for the health level and influencing factors of older adults. by Mengmeng Yang (475288)

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Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

Subjects: “…fluoroquinolone shares decreased…”

Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n... by Thomas Hanslmeier (19949694)

Subjects: “…fluoroquinolone shares decreased…”

Shares of specialist groups prescribing 1^st, 2^nd, and 3^rd antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019. by Thomas Hanslmeier (19949694)

Subjects: “…fluoroquinolone shares decreased…”