Statistical analysis of differences in the soil bacterial and fungal communities between mobile and fixed dunes. by Chengchen Pan (287383)

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The vegetation and soil properties of mobile and fixed dunes. by Chengchen Pan (287383)

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Evaluate the significance of features across different years. by Rui Zhang (13940)

Study selection criteria. by Filip Stanicic (17808254)

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PICOS criteria for the SLR. by Filip Stanicic (17808254)

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PRISMA flow chart. by Filip Stanicic (17808254)

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Study population: patients living with comorbidities (on the left) and immunosuppressive conditions (on the right) who are at risk of pneumococcal disease in France in the year 202... by Benjamin Wyplosz (22032756)

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Comparison of (a) Chao index and (b) Shannon diversity index of the fecal microbiota in WT and Lep KO mice. by Yu Sang Choi (22656230)

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The effect of CWI on blood levels of (A) thyroid-stimulating hormone (TSH) and (B) testosterone in young healthy males. by Aneta Teległów (9570190)

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Effects of long-term organic fertilizer and straw on soil bulk density by Xiaoqin Tian (18621436)

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LBM-based approach using synchronous transformation with a time step of 0.43s, PNGM-based method using asynchronous transformation with a 5s time step, VGA using explicit scheme wi... by Mouad Klai (20818364)

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The table provides details about the six different videos used in the study. For each video, a brief description, its length, and its chills ratio (CR) from past ChillsDB studies a... by Felix Alexandre Schoeller (20988295)

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Characteristics of patients who decreased their screen time by more than 60 minutes after the challenge. by Annaëlle Le Steunf (19838110)

AAPC of ASMR and age-standardized DALYs for cardiovascular diseases attributable to secondhand smoke in countries with increasing trends. by Juan Dong (342384)

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Bidimensional Low-High Frequency Normalized Difference and High-Low Frequency Power (LHFND, LHFP) plane representation of the interaction among Phase and High-Low Authoritativeness... by David Vagni (8060432)

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Data for Figs 8A–8H, 9A–9K, 10A–10I. by Xiaohua Zhang (350570)

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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 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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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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