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)

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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)

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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)

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Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0). by Thomas Hanslmeier (19949694)

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Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.8... by Thomas Hanslmeier (19949694)

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Comparison of 1^st, 2^nd, and 3^rd antibiotic prescription. by Thomas Hanslmeier (19949694)

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UTI diagnoses by sex and physician specialty (2013–2019). by Thomas Hanslmeier (19949694)

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AI KRegression by CHIN-CHENG CHU (20718575)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

Flow chart of data screening and analysis. by Yan She (8639796)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Graphical representation of the optimization process in machine learning, focusing on the adjustment of weights during gradient descent. by Liu Liu (512237)

Table 1_Effects of national volume-based procurement policy on the usage and expenditure of platinum antineoplastic drugs in China: an interrupted time series study.docx by Xihui Yu (19945377)

“…</p>Methods<p>Oxaliplatin and alternative drugs were used as objects of study to explore the impact of NCVBP policy from the first quarter of 2017 to the second quarter of 2024, while October 2021 was the implementation time point of the policy. …”

Propofol wash-in. by Anne S. Fleiner (20496284)

“…(ii) A significantly larger decrease in post-burst spikes was observed after wash-in of both 3 μM and 10 μM propofol compared to the control (0 μM). …”

Data Sheet 1_Adverse drug events associated with insulin glargine: a real-world pharmacovigilance study based on the FAERS database.docx by Tongtong Wang (775312)

“…</p>Methods<p>This study collected ADE reports from the FDA Adverse Event Reporting System (FAERS) between the first quarter of 2004 and the third quarter of 2024, where insulin glargine was identified as the primary suspect drug. …”

Table 1_Pharmacovigilance study on old drugs repurposed for rare diseases across different indications: the case of fenfluramine.docx by Jiahong Zhong (4372078)

“…</p>Methods<p>The data were extracted from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database from the third quarter of 2020 to the fourth quarter of 2024 for data cleaning and analysis. …”