Chemical composition and physicochemical properties of beef sausages containing different fats and roasted at different temperatures. by Kazeem Dauda Adeyemi (21181818)

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Summary of significant single-arm time effect. by Wensheng Xiao (16557866)

Scatter plot for the significant Mendelian randomization (MR) association (P < 0.05) between mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

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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<i>N. parisii</i> infection is not significantly changed in <i>C. elegans</i> sphingolipid biosynthesis mutants. by Hala Tamim El Jarkass (16625309)

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Significant gene set results from EGSEA. by Katherine M. Peterson (19746455)

“…The table consists of columns for Gene Set Name, Rank, P-value, adjusted P-value, the general direction (increased or decreased) of the gene expression, and Sample Day.…”

Normalized significant family changes in abundance. by Karley K. Mahalak (3212670)

“…<p>A) <i>Erysipelotrichaceae</i> significantly increased with CCE treatment; B) <i>Bacteroidales_unclassified</i> significantly decreased with CCE treatment; C) <i>Desulfovibrionaceae</i> significantly decreased with CCE treatment; D) <i>Rikenellaceae</i> significantly decreased with CCE treatment; E) <i>Coriobacteriaceae</i> significantly decreased with CCE treatment; F) <i>Erysipelotrichaceae</i> significantly increased with TRE treatment.…”

Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

“…<b>(B)</b> Volcano plot highlighting the significantly different metabolomic features. The red dots represent the features with significantly increased intensity, and the purple dots represent the features with significantly decreased intensity. …”

IRE1 depletion decreases heterochromatin, DNA, and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

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IRE1 depletion decreases heterochromatin, DNA and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

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Overexpression of miR-129-5p alleviated depression-like behaviors by increasing ATP content. by Qiaozhen Qin (13159201)

S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Va... by Sonsawan Sangprasert (22772538)

Sphingolipid biosynthetic pathway. by Hala Tamim El Jarkass (16625309)

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Benchmark regression results. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”

Heterogeneity test. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”