Decreased glycosylated α-DG and laminin levels distal to the glial dome in <i>Large</i>^{<i>myd/myd</i>} mice. by Shigefumi Morioka (8893511)

Ribosomal protein subunit large (Rpl) and small (Rps) transcripts are expressed at decreased levels at the site of <i>L</i>. <i>major</i> infection. by Gopinath Venugopal (638444)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

The percentages of genes with largely changed expression after AdNKX2-1 infection. by Yuko Ito (1976692)

Subjects:

Decreased MBP levels in <i>Large</i>^{<i>myd/myd</i>} and <i>POMGnT1</i>-KO mice at the RC and OSL. by Shigefumi Morioka (8893511)

Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

Subjects:

STAT6-driven immunity decreases <i>N</i>. <i>brasiliensis</i> reproductive output and survival within host. by Annabel A. Ferguson (17616286)

An osprey nest with a large chick and an unhatched egg (photo P. Saurola). by Matti Viluksela (321291)

Subjects:

The decrease in embryonic survival after stress coincides with a decrease in oocyte and embryo size. by Sarah Fausett (11812818)

<i>T</i>. <i>spiralis</i> Infection Enhanced Residential Tregs in Lamina Propria of the Large Intestine. by Xi-Meng Sun (17721428)

Visualization of the impact of group, choroidal thickness (CT) and central choroidal thickness (cCT) on the visibility of large choroidal vessels (LCV). by Valentin Hacker (9956024)

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>…”

Supplementary Material for: Two Novel Human Leukocyte Antigen Alleles Are Associated with Decreased Risk of Onychomycosis in a Large Cohort of Danish Blood Donors by LindsøAndersen P. (14623916)

Brief Report: Increased technology use associated with lower A1C in a large pediatric clinical population by G. Todd Alonso (9568724)

Species-level changes in biomass due to large mammalian herbivore exclusion. by Arjun B. Potter (6445646)

“…Biomass data suggested larger increases in <i>Desmodium trifolium</i> (DESTRI) and larger declines in <i>Digitaria</i> sp. 1 (DIGITA) than percent cover data. …”

<i>F</i>. <i>oxysporum</i> f. sp. <i>albedinis</i> genome code for a large repertoire of secreted proteins. by Maryam Rafiqi (12647200)

Large teeth and highly protrusible jaws are evolutionarily incompatible. by Nick Peoples (21593888)

Seven out of the 11 human cytidine deaminases are more highly expressed in tumor versus normal tissue and their higher expression is correlated with a decrease in survival. by Mason A. McCool (11889842)

“…Data were analyzed by Kaplan–Meier survival analysis, significant <i>p</i>-values reported on respective graphs. (B) Seven out of the 11 human cytidine deaminases exhibit higher expression in tumor versus normal tissue and higher expression is associated with lower survival probability. …”

Deletion of RecF or RecO decreases the filamentation of <i>ΔrarA ΔruvB</i> cells. by Kanika Jain (2884439)

<b>Human disturbance alters the foraging and spatiotemporal activity of a large carnivore</b> by Gonzalo Barceló (10117075)

“…Responses to human disturbance were generally consistent across sites, with pumas adjusting their temporal, spatial, and foraging axes to decrease encounters with humans. Our results suggest that human-disturbed landscapes across regions alter the primary niche axes of pumas to construct a new realized niche in human landscapes, which may have important consequences for their ecological interactions and the functional role of this large carnivore.…”