A. Bar chart showing the percentage of participants experiencing chills in response to various stimuli, ordered by descending frequency. by Felix Alexandre Schoeller (20988295)

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Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

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Microbial differential abundance at 24 hours post-treatment was assessed using ANCOM (<i>P</i> <  0.05). by Elena G. Olson (10649705)

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Age-adjusted annual percent changes (APC) in incidence (A), mortality (B), and prevalence (C) rates per 100,000 over 2014–2023 for both sexes and sex-specific. by Ayana Ablayeva (22103708)

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Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. by Shi Huang (125861)

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Macropinocytosis of pHrodo Red dextran by uninfected and infected PEMs, BMMs and THP-1) in static culture system. by Alaa Riezk (7037297)

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Age-Standardized Rate of injuries caused by fire, heat and hot substances in 22 GBD regions with varying Social-Demographic Index globally from 1990 to 2021. by Shi Huang (125861)

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Hypothetical versus random connectomes. by Jan Willem Koten (17743224)

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Thresholds and group reproducibility. by Jan Willem Koten (17743224)

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Effect of sample size on reproducibility. by Jan Willem Koten (17743224)

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Effect of corrections on connectivity maps. by Jan Willem Koten (17743224)

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Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

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(A) O2PLS−Scores scatter diagram; (B) Integrated analysis of the top 20 KEGG pathways. by Bingshuo Shi (21485387)

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Vertebral cancellous tissueμCT parameters are not significantly affected by aging from 16 to 21 weeks, housing type, or microgravity. by Rukmani Cahill (20939813)

“…<p>Cancellous bone characterization metrics in the L2 vertebrae demonstrate no differences between groups in (A) BV/TV, (B) Tb.N, (C) Tb.Th, (D) Tb.Sp, (E) Tb.Pf, or (F) Conn.D. …”

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

Subjects: “…fluoroquinolone shares decreased…”

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

Subjects: “…fluoroquinolone shares decreased…”

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

Subjects: “…fluoroquinolone shares decreased…”

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…”