Binomial logistic regression odds ratios of all patient, CDT, and outcome variables (n = 5,962). by Tremaine B. Williams (10113358)

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Problem, solution, and results. by Tremaine B. Williams (10113358)

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Spatial distribution of SAI (Map from the Ministry of Natural Resources of China, cartographic license: GS (2020) 4619). by Wenping Ning (19871091)

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Binomial logistic regression odds ratios of HFmrEF patients (n = 329). by Tremaine B. Williams (10113358)

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Binomial logistic regression odds ratios of HErEF patients (n = 628). by Tremaine B. Williams (10113358)

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Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub by Ruosi Liang (14018604)

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Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

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Mann Whitney-U median differences between CAs and AAs. by Tremaine B. Williams (10113358)

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Fixed effects and panel quantile regression results. by Wenping Ning (19871091)

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Demographics stratified by total patients and their encounters. by Tremaine B. Williams (10113358)

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Study area (Map from the Ministry of Natural Resources of China, cartographic license: GS (2020) 4619). by Wenping Ning (19871091)

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Patient CDT study demographics. by Tremaine B. Williams (10113358)

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Binomial logistic regression odds ratios of HEpEF patients (n = 707). by Tremaine B. Williams (10113358)

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The APCA, SAI and EAI data of the eight main producing provinces in China. by Wenping Ning (19871091)

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Demographics stratified by primary care and hospitalization encounters. by Tremaine B. Williams (10113358)

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Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

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Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

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S1 Data - by Yi-xiao Liu (14769126)

<i>X</i> and <i>4</i>^{<i>^th</i>} chromosome nondisjunction frequency. by Stacie E. Hughes (22298414)

“…However, the placement of crossovers was altered, displaying an increase in frequency in the centromere-proximal euchromatin indicating a decrease in the centromere effect, similar to that observed in <i><i>D. mauritiana</i></i> females. …”

Flowchart of the selection program. by Zsófia Tróznai (19923854)

“…Body size, body composition, and maturity had a significant, but of moderate power, effect on the selection. Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”