iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

Linear discriminant analysis (LDA) for effect size (LEfSe) analysis of endophytic bacterial communities associated with <i>Synsepalum dulcificum</i> among the three phenotypic grou... by Rabiath F. R. Adigoun (14189090)

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Analysis of Significantly Different Bacteria. by Xu Jia (187142)

Transcriptome and Metabolome Based Mechanisms Revealing the Accumulation and Transformation of Sugars and Fats in Pinus armandii Seed Kernels during the Harvesting Period by Nan Li (155066)

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Adult <i>Shroom3</i>^<i>+</i>^<i>/Gt</i> hearts show decreased cardiomyocyte cross-sectional area. by Jennifer L. Carleton (22208916)

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Gene profiles of leaf and root endophytic bacterial communities of <i>Synsepalum dulcificum</i> predicted using Tax4Fun 2. by Rabiath F. R. Adigoun (14189090)

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Significantly decreased necrosis observed on wheat leaves inoculated with <i>ΔZtknr4</i>. by Erika Kroll (20537020)

Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

Enrichment analysis of genes from the significant MS module. by Lai Jiang (2401513)

“…The color of the dots represents the adjusted P-value (P.adj), and the size represents the number of genes. <b>(d)</b> Top 20 important feature genes identified by the random forest model, ranked by the average decrease in Gini index. …”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”

Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

Significant associations in the candidate gene approach. by Dai Nogimura (21445649)

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Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">#METADATA</p><p dir="ltr">#'data.frame': 472 obs. of 28 variables:</p><p dir="ltr"> #$ ID: Factor variable; a unique identity for the response to the survey</p><p dir="ltr"> #$ Year: Factor variable; six factors available (2016, 2017, 2018, 2019, 2020, 2021) representing the year for the response to the survey</p><p dir="ltr"> #$ N_dead_annual: Numeric variable; representing the number of colonies annually lost</p><p dir="ltr">#$ N_alive_annual: Numeric variable; representing the number of colonies annually alive</p><p dir="ltr"> #$ N_dead_dry: Numeric variable; representing the number of colonies lost during the dry season</p><p dir="ltr">#$ N_alive_dry: Numeric variable; representing the number of colonies alive during the dry season</p><p dir="ltr"> #$ N_dead_rainy: Numeric variable; representing the number of colonies lost during the rainy season</p><p dir="ltr">#$ N_alive_rainy: Numeric variable; representing the number of colonies alive during the rainy season</p><p dir="ltr"> #$ Education: Factor variable; four factors are available ("Self-taught","Learned from another melip","Intro training","Formal tech training"), representing the training level in meliponiculture</p><p dir="ltr"> #$ Operation_Size: Numeric variable; representing the number of colonies managed by the participant (in n)</p><p dir="ltr"> #$ propAgri: Numeric variable; representing the percentage of agricultural area surrounding the meliponary (in %)</p><p dir="ltr"> #$ propForest: Numeric variable; representing the percentage of forested area surrounding the meliponary (in %)</p><p dir="ltr">#$ temp.avg_annual: Numeric variable; representing the average annual temperature (in ºC)</p><p dir="ltr">#$ precip_annual_sum: Numeric variable; representing the total accumulated precipitation (in mm)</p><p dir="ltr">#$ precip_Oct_March_sum: Numeric variable; representing the total accumulated precipitation between October to March (in mm)</p><p dir="ltr">#$ precip_Apri_Sept_sum: Numeric variable; representing the total accumulated precipitation between April to September (in mm)</p><p dir="ltr">#$ temp.avg_Oct_March: Numeric variable; representing the total accumulated precipitation between October to March (in ºC)</p><p dir="ltr">#$ temp.avg_Apri_Sept: Numeric variable; representing the total accumulated precipitation between April to September (in ºC)</p><p dir="ltr"> #$ Importance_dead: Factor variable; three factors are available Normal","High","Very high"), representing the perception of the significance of annual colony losses</p><p dir="ltr"> #$ Climatic_environmental: Binary variable; representing if the participant considered climatic and environmental problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Contamination: Binary variable; representing if the participant considered contamination problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Nutritional: Binary variable; representing if the participant considered nutritional problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Sanitary: Binary variable; representing if the participant considered sanitary problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Queen: Binary variable; representing if the participant considered queen problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Time: Binary variable; representing if the participant considered time problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Economic: Binary variable; representing if the participant considered economic problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Attacks: Binary variable; representing if the participant considered time attacks as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Swarming: Binary variable; representing if the participant considered swarming problems as a potential driver (1) or not (0) of their annual colony losses</p><p><br></p>…”

Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

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Soil partice-size distribution. by Yonggang Huang (223155)

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

Suggestive significant associations in the candidate gene approach. by Dai Nogimura (21445649)

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Sobel test for the significance of the mediation effect. by Getachew Magnar Kitila (19935139)

Number of shared and specific OTUs of endophytic bacterial communities according to the type of plant tissue (A), the three phenotypic groups (B: leaves, C: roots) and the two habi... by Rabiath F. R. Adigoun (14189090)

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Assessing Bivalves as Biomonitors of Per- and Polyfluoroalkyl Substances in Coastal Environments by Shannon E. Jones (17558652)

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