Standardized AUCs per lesion, for six combinations of feature extraction and coding (horizontal axis). by Ramon Pires (5659174)

Additional examples—Boundary vector cells. by Lear Cohen (15353793)

Spatial characteristics of boundary vector cells. by Lear Cohen (15353793)

Loss of SV2B decreases the expression of several synaptic vesicle proteins. by Catherine W. Morgans (267419)

Population analysis of boundary vector cells. by Lear Cohen (15353793)

Study-related adverse events. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study flow chart. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

HSF2 decreased the apoptosis rate of Caco-2 cells treated by Atr. by Wen Wang (6570)

TLR2 knockout (TLR2−/−) mice present decreased insulin signaling. by Andréa M. Caricilli (161657)

Mean sediment transport (g m^-2 day^-1) by grazing condition (Grazed, Some Graze, and No Graze). by Andrew Kulmatiski (833256)

Boundary vector cells in the goldfish brain. by Lear Cohen (15353793)

Beta oscillations in boundary vector cells. by Lear Cohen (15353793)

Paclitaxel decreases average neurite outgrowth but not viability of iPSC-dSN. by Geneva M. Cunningham (11909900)

Effects of NPWT on morphological change. by Jin Zhu (164147)

Tubastatin decreases TGF-β1-induced expression of type-1 collagen. by Shigeki Saito (560645)

Neto1 Loss of Function Decreases tbLTP in CA1 Hippocampus by David Ng (266907)

Data_Sheet_1_Lactational and geographical variation in the concentration of six oligosaccharides in Chinese breast milk: a multicenter study over 13 months postpartum.docx by Shuang Liu (8449)

“…The prominent variation was observed in the content of 6’-SL, which demonstrates a pattern of initial increase followed by a subsequent decrease. …”

Table_2_Leaf litter decomposition rates: influence of successional age, topography and microenvironment on six dominant tree species in a tropical dry forest.docx by Hernán Morffi-Mestre (15458633)

“…The objective of this study was to compare the decomposition rates of six dominant tree species: three legumes (Caesalpinia gaumeri, Lysiloma latisiliquum, Piscidia piscipula) and three non-legumes (Bursera simaruba, Gymnopodium floribundum, Neomillspaughia emarginata) in five successional age categories (8–10, 15–22, 23–30, 65–84, > 85 years-old) and two topographic conditions (flat and sloping sites) in a TDF, and to analyze the association with leaf traits (toughness, N, C and total phenols content) soil properties (bulk density, organic carbon, pH, clay), microenvironmental (litter and soil moisture, leaf area index), and vegetation variables (basal area, aboveground biomass, tree diameter, tree height). …”

Table_1_Leaf litter decomposition rates: influence of successional age, topography and microenvironment on six dominant tree species in a tropical dry forest.docx by Hernán Morffi-Mestre (15458633)

“…The objective of this study was to compare the decomposition rates of six dominant tree species: three legumes (Caesalpinia gaumeri, Lysiloma latisiliquum, Piscidia piscipula) and three non-legumes (Bursera simaruba, Gymnopodium floribundum, Neomillspaughia emarginata) in five successional age categories (8–10, 15–22, 23–30, 65–84, > 85 years-old) and two topographic conditions (flat and sloping sites) in a TDF, and to analyze the association with leaf traits (toughness, N, C and total phenols content) soil properties (bulk density, organic carbon, pH, clay), microenvironmental (litter and soil moisture, leaf area index), and vegetation variables (basal area, aboveground biomass, tree diameter, tree height). …”