<i>C</i>. <i>auris</i> induces IL-1Ra in macrophages to decrease the neutrophil function in the skin. by Abishek Balakumar (20189865)

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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Analytical framework and statistical methods. by Na Chen (153323)

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Theoretical frameworks of social protection. by Na Chen (153323)

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Demonstration of test steps. by Jin Zhu (164147)

“…<div><p>In recent years, the reinforcement of calcareous sands using the microbially induced calcium carbonate precipitation (MICP) method has emerged as a prominent research area. Nevertheless, a significant drawback of the MICP method is that multiple treatments with the cementing solution are required to achieve the desired improvement effect. …”

(a) Histogram of relative phase at all steps for all participants. by Shinnosuke Hase (20917896)

Summary map of all contacts with statistically significant SVM classifications. by Alexander P. Rockhill (6053618)

“…Yellow indicates an increase in time-frequency clusters during number trials versus inter-trial intervals while blue indicates a decrease in time-frequency clusters. White regions in the plot indicate that no directional change occurred. …”

Aripiprazole significantly decreases phosphorylated Src (Y416) levels in dHL-60 cells. by Courtney A. Swain (15170264)

The influence of the controlled pH conditions at the sample preparation step on the obtained signals (panel A: extraction using a mixture of MeOH and EtOH; panel B: extraction usin... by Ewa Paszkowska (21246702)

Table_1_FMT intervention decreases urine 5-HIAA levels: a randomized double-blind controlled study.DOCX by Lihong Wang (14991)

“…However, in the placebo group, GSRS, CARS, and SRS scores showed no significant changes, while ABC scores decreased from 72 to 58.75 (p = 0.034). …”

Table 1_Elevated CO2 decreases micronutrient Zn but not Fe in vegetables – evidence from a meta-analysis.docx by Xiaolin Wang (303612)

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>…”

Comparative death probabilities of tumor-bearing mice across weeks of assessment. by Robert Botelho (20308297)

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Multivariable mixed effect logistic regression for chills, with individual ID and stimulus as a random effect. Individual intercept variance = 1.02 and stimuli intercept variance =... by Felix Alexandre Schoeller (20988295)

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Frontier analysis for the potential for improvement in reducing the burden of IBD among WCBA across 204 countries and regions. by Jiefeng Zhao (9090305)

Deficiency of <i>Irg1</i> decreased lung neutrophils in mice during <i>M</i>. <i>pneumoniae</i> infection. by Cui Wang (141700)

Decreased expression of <i>catp-3</i> underlies compromised tolerance to oxidative stress in <i>shk-1</i> mutants. by Longjun Pu (20685717)

Different steps of the fabrication process. by Md. Abu Daud (21485629)

a. Positive ion mode significant difference metabolite expression difference factor analysis (A) mild PTOA group VS severe PTOA group (B) mild PTOA group VS normal group (C) Severe... by Peng-fei Han (694841)

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a. Positive ion mode, significant difference, metabolite level clustering heat map (A), mild PTOA group VS severe PTOA group, (B) mild PTOA group VS normal group, (C) severe PTOA g... by Peng-fei Han (694841)

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