The increased expression and distribution of CYP11B2 in the adrenal glands of MU rats. by Mei You (12124459)

Table 1_Association between occupational ionizing radiation exposure duration and the increased risk of dyslipidemia: evidence from a large group of radiation workers.docx by Meimei Zhong (22075067)

Does a rise in BMI cause an increased risk of diabetes?: Evidence from India by Shivani Gupta (140138)

“…The likelihood of being diabetic is twice or more among the overweight and obese individuals as compared to non-overweight individuals in all the specifications. With a unit increase in BMI the probability of being diabetic increases by about 1.5% among overweight and obese individuals and by 0.5% among the non-overweight individuals in the IV-Probit model. …”

DataSheet1_Large Future Increase in Exposure Risks of Extreme Heat Within Southern China Under Warming Scenario.pdf by Ning Cao (158319)

“…Trend patterns exhibit comparable results to models, but with a relatively large spread. The population and economy exposure to extremely high temperatures are calculated, showing that they both will experience a large increase in future projected decades. …”

CLP-induced increase in plasma C-terminal and intact FGF23 levels. by Jessica Bayer (10803273)

Subjects:

Class I SLA expression is increased in the TSST-1 stimulated CD4+ cells. by Shino Ohshima (3229245)

“…As the large cells are increased by TSST-1 stimulation, a small and large lymphocyte gate was used for the analysis. …”

Pairwise correlations of excitatory neurons in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Subjects:

DDX17 contains an APOBEC3A predicted target site but its levels do not significantly change after APOBEC3A depletion on the mRNA or protein level. by Mason A. McCool (11889842)

Subjects:

Data Sheet 1_Increased TIGIT expression correlates with impaired NK cell function in diffuse large B-cell lymphoma.docx by Hui Lu (12370)

Increased heterogeneity of neural activity in vCA1 relative to dCA1 in C57BL/6 mice. by Udaysankar Chockanathan (18510288)

Subjects:

Image_1_Annexin-V positive extracellular vesicles level is increased in severe COVID-19 disease.TIFF by Valentine Jacob (16010282)

“…</p>Conclusion<p>A comparison between total annexin-V positive extracellular vesicles levels in severe and moderate SARS-CoV-2 infection and healthy controls showed a significant increase in patients with severe infection and their sizes could be considered as biomarkers of SARS-CoV-2 associated thrombo-embolic events.…”

Data_Sheet_1_Performance insurance for jurisdictional REDD+: Unlocking finance and increasing ambition in large-scale carbon crediting systems.pdf by Kitty Kay Chan (14764495)

“…We show that insurance would allow jurisdictions to increase emissions reductions despite this uncertainty and that building a performance buffer offers nonlinear potential to unlock supply in a complementary manner.…”

Data_Sheet_1_Performance insurance for jurisdictional REDD+: Unlocking finance and increasing ambition in large-scale carbon crediting systems.pdf by Kitty Kay Chan (14764495)

“…We show that insurance would allow jurisdictions to increase emissions reductions despite this uncertainty and that building a performance buffer offers nonlinear potential to unlock supply in a complementary manner.…”

A high-level representation of the methodology. by Jonathan L. Crawford (20700495)

“…We also demonstrate that large language models can be used to predict the severity of PD in a regression task. …”

Image_1_Autologous bone marrow-derived MSCs engineered to express oFVIII-FLAG engraft in adult sheep and produce an effective increase in plasma FVIII levels.tif by Brady Trevisan (10211405)

“…Introduction<p>Hemophilia A (HA) is the most common X-linked bleeding disorder, occurring in 1 in 5,000 live male births and affecting >1 million individuals worldwide. …”

Hazard ratio (HR) of all-cause mortality according to variability of HbA1c levels. by Hanri Afghahi (11999439)

TBKBP1 overexpression in restimulated CD8⁺ T cells results in increased TBK1 phosphorylation. by Zheng Yu (484983)

Increased activation of ILC2s co-cultured with PUUV-infected endothelial cells. by Marina García (694440)

“…ND: not detected. <b>(i, j)</b> Percentage of <b>(i)</b> activation (CD69⁺) and of <b>(j)</b> live human expanded ILC2s cultured for 24 h with increasing concentrations of recombinant human IFN-β (ng/mL), the canonical ILC2 activators (alarmins TSLP, IL-25, and IL-33) plus IL-2, or only media (n = 3, 2 independent experiments). …”

Increased RNase III activity down-regulates RNase G expression. by Minho Lee (50566)

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>…”