Flow chart of the study participants. by Oscar F. C. van den Bosch (22184246)

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(a) Histogram of relative phase at all steps for all participants. by Shinnosuke Hase (20917896)

Side angle tea picking. by Chunhua Yang (346871)

Experimental Setup and live ECG recording during an on-air primetime TV interview: On the left side, the science communicator was interviewed by Marco Dedola, director of the “Scie... by David Vagni (8060432)

Descriptive characteristics of service utilization by sex and year. by Fernanda Talarico (807333)

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Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

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Cohort characteristics. by Fernanda Talarico (807333)

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Trend of specific mental health disorders for all services utilization between 2016 and 2022. by Fernanda Talarico (807333)

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Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

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Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

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Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

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Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates. by Elena Bolt (20396190)

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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The injectable contraceptives depot medroxyprogesterone acetate and norethisterone enanthate substantially and differentially decrease testosterone and sex hormone binding globulin... by Chanel Avenant (409756)

Time series comparing trends at HSJ and control hospitals in the pre-intervention and intervention period. Significance test determine if trends differ between groups. by Eva Rydahl (6260771)

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Schematic representation of the study protocol. by Neng Pan (5262032)

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Results from linear regression analysis for δ¹³C or δ¹⁵N and collection date. by Nathan D. McTigue (10706460)

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 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 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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