Trends of incident opioid users, L-TOT users, and L-TOT discontinuers between 2009 and 2013. by Qian Cai (112039)

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The yearly numerator, denominator and rate of incident opioid users, L-TOT users and L-TOT discontinuers from 2009 to 2019. by Qian Cai (112039)

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Incidence rate ratios of negative binominal regression models for yearly rates of incident opioid users, L-TOT users and L-TOT discontinuers during 2009–2013 and 2015–2019. by Qian Cai (112039)

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Demographic, comorbidity, concurrent drug, and opioid characteristics, among L-TOT users and L-TOT discontinuers between 2009–2019. by Qian Cai (112039)

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Genome-wide significant SNPs for meat L*15 min and a*15 min. by Jiahong Sun (6497603)

Images and quantitative results from bone fragment evaluation. by Marsel Ganeyev (21453399)

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Histologic evaluation of the osteotomy site. by Marsel Ganeyev (21453399)

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Mechanical data for the two drill bits in the MIPS system (MIPS GS, MIPS WD) and the single drill bits in the MONO system at different feed rates (mm/s). The data are shown as the... by Marsel Ganeyev (21453399)

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Increases in temperature for the two drill systems at different positions using different drilling procedures and feed rates. The data in bold indicate the position where the highe... by Marsel Ganeyev (21453399)

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Increases in temperature for the two drill systems at different positions using different drilling procedures. The data in bold indicate the position where the highest mean tempera... by Marsel Ganeyev (21453399)

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Graphical presentation of % decrease for insulin from baseline at different conditions. by Nathan Mubiru (21627195)

Side angle tea picking. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

A sample choice question with a warning label. by Yulian Ding (5984591)

“…The random parameters logit model results showed a significant overall decrease in SSB purchases when a warning label was present, indicated by a significant negative coefficient associated with the label. …”

Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

Join-point regression analysis of the statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedati... by Jelena Filimonovic (22305307)

A sample choice question without a warning label. by Yulian Ding (5984591)

“…The random parameters logit model results showed a significant overall decrease in SSB purchases when a warning label was present, indicated by a significant negative coefficient associated with the label. …”

Comparison of the mean number of unique diagnoses per hospital admission, between 2000 and 2023, stratified by chapters of ICD-10. The table shows absolute and relative changes in... by Stuart A. Bowyer (21253319)

Potato gene ontology enrichment results significant at <i>p</i> < 0.01. by Margaret A. Carpenter (6104180)

Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)