Dopaminergic neuron differentiation is disrupted in <i>Dkk1</i> mutants. by Diogo Ribeiro (230483)

“…Scale bar = 100 µm. Quantification in (B) revealed a 40% decrease in the numbers of dopaminergic neurons in <i>Dkk1^+/−</i> embryos when compared to <i>Wt</i> littermate controls (mean ± s.e.m- <b><i>Wt</i></b><b>:</b> 568.3±31.7, N = 3; <b><i>Dkk1^<b>+/−</b></i></b><b>:</b> 346.5±27.2, N = 8 p = 0.0015 ** unpaired t-test). …”

In the dark, <i>nob</i> mice GCs oscillate asynchronously, but light stimulation synchronizes their oscillations. by Beerend H. J. Winkelman (7377299)

“…(Bi) Each trace shows the mean normalized GC activity of 100 episodes of activity in the dark during the first 2 s of a 5-s window. …”

The effector functions of CHK-152 contribute to protection <i>in vivo</i>. by Pankaj Pal (404355)

“…No statistically significant differences between ch-CHK-152 and ch-CHK-152 N297Q were observed with the 25 µg dose. Of note, we observed a reproducible decrease in clinical score on day 5 in many animals. …”

The Influence of Doctor-Patient and Midwife-Patient Relationship in Quality Care Perception of Italian Pregnant Women: An Exploratory Study by Laura Andrissi (729056)

“…<div><p>Background</p><p>The study focuses on the perceived nature / technique opposition in pregnancy and delivery emerging from gynaecologist/ midwife/ pregnant woman relationships. We developed a cross-sectional survey to identify, by means of a multidimensional data-driven approach, the main latent concepts structuring the between items correlation correspondent to the different general opinions present in the data set. …”

Forests to Faucets 2.0 by U.S. Forest Service (17476914)

“…As developed in Forests to Faucets (USFS 2011), the Important Areas for Surface Drinking Water (IMP) model can be broken down into two parts: IMPn = (PRn) * (Qn)Calculated using R, Updated September 2023IMP_RIMP, Important Areas for Surface Drinking Water (0-100 Quantiles)Calculated using R, Updated September 2023NON_FORESTAcres of non-forestPADUS and NLCDPRIVATE_FORESTAcres of private forestPADUS and NLCDPROTECTED_FORESTAcres of protected forest (State, Local, NGO, Permanent Easement)PADUS, NCED, and NLCDNFS_FORESTAcres of National Forest System (NFS) forestPADUS and NLCDFEDERAL_FORESTAcres of Other Federal forest (Non-NFS Federal)PADUS and NLCDPER_FORPRIPercent Private ForestCalculated using ArcGISPER_FORNFSPercent NFS ForestCalculated using ArcGISPER_FORPROPercent Protected (Other State, Local, NGO, Permanent Easement, NFS, and Federal) ForestCalculated using ArcGISWFP_HI_ACAcres with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_WFPPercent of HU 12 with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_IDRISKPercent of HU 12 that is at risk for mortality - 25% of standing live basal area greater than one inch in diameter will die over a 15- year time frame (2013 to 2027) due to insects and diseases.Krist, et Al,. 2014PERDEV_1040_45% Landuse Change 2010-2040 (low)ICLUSPERDEV_1090_45% Landuse Change 2010-2090 (low)ICLUSPERDEV_1040_85% Landuse Change 2010-2040 (high)ICLUSPERDEV_1090_85% Landuse Change 2010-2090 (high)ICLUSPER_Q40_45% Water Yield Change 2010-2040 (low) WASSI , Updated September 2023PER_Q90_45% Water Yield Change 2010-2090 (low) WASSI , Updated September 2023PER_Q40_85% Water Yield Change 2010-2040 (high) WASSI , Updated September 2023PER_Q90_85% Water Yield Change 2010-2090 (high) WASSI , Updated September 2023WFP(APCW_R * IMP_R * PER_WFP )/ 10,000Wildfire Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023IDRISK(APCW_R * IMP_R * PER_IDRISK )/ 10,000Insect & Disease Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023DEV1040_45(APCW_R * IMP_R * PERDEV_1040_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_45(APCW_R * IMP_R * PERDEV_1090_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023DEV1040_85(APCW_R * IMP_R * PERDEV_1040_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_85(APCW_R * IMP_R * PERDEV_1090_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_45-1 * (APCW_R * IMP_R * PER_Q40_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_45-1 * (APCW_R * IMP_R * PER_Q90_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_85-1 * (APCW_R * IMP_R * PER_Q40_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_85-1 * (APCW_R * IMP_R * PER_Q90_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023WFP_IMP_RWildfire Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023IDRISK_RInsect & Disease Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023RegionUS Forest Service Region numberUSFSRegionnameUS Forest Service Region nameUSFSHUC_Num_DiffThis field compares the value in column HUC12(circa 2019 wbd) with the value in HUC_12 (circa 2009 wassi)-1 = No equivalent WASSI HUC. …”

Metformin reduces lipid stores and causes intestinal fluid imbalance. by Cathy Slack (251729)

“…<p>(<b>A</b>) Quantitation of triacylglycerides (TAGs) in flies treated with 0 mM, 1 mM, 10 mM and 100 mM metformin for 7 days. …”

Critical mass index (<i>CMI</i>) projections for University of California-Berkeley. by Daniel P. Maes (10788786)

“…For every 100 Black students that UCB should enroll for critical mass, true enrollment will decrease over time (red curve). …”

Effect of 10 mM DCA on protein expression in mammary cell lines after 48 hours. by Tatjana P. Harting (4093507)

“…Significantly increased BAD expression was observed in all cell lines except MTH53A. Data are shown as mean ± SD, n≥3 and are presented as relative mean in comparison to untreated control (%). …”

Odor Responses of DNA-Cy3 Sensor Spots Read with Microarray Scanner by Joel White (84607)

“…Pairwise Pearson correlation coefficients ranged from 0.91 to 1.00 (mean = 0.98, SD = 0.016).</p> <p>(B) Twenty nine different DNA-Cy3 sensors and Cy3 alone (rows) tested with the same odor test set as (A) (columns). …”

Emergence of assemblies in the presence of structured external input. by Lisandro Montangie (8816753)

“…<p><b>A</b>. Mean clustering coefficient versus the pairwise correlation coefficient of the input pattern. …”

Comparison of experimentally measured ribosomal densities to predictions from incomplete processivity, slow termination and slow initiation models by Yoav Arava (7932)

“…Solid line represents the best fit to the experimentally measured densities with a processivity level of 99.30% per elongation step. …”

The defects of OB in Lgl1 mutants. by Zhenzu Li (3108309)

“…(C). (0) The laminar structure of OB. (a-d) A notable decrease in density and disorganization of granule cells at p21. …”

Exemplar press-related channel. by David T. Bundy (7586414)

“…Mean firing rates show a complex task response with firing rates significantly (p<0.05) decreased around the lever press and 650 ms prior to the reach to the pellet and then significantly increased immediately prior to the reach to the pellet. …”

<i>Apoe</i> expression is reduced in the parietal cortex and CA1 of aged mice. by Ileana Soto (531878)

“…(B) Quantification of <i>Apoe</i> hybridized area in the cortex shows a significant decrease of <i>Apoe</i> expression in the aged mice. …”

Class switch recombination analysis. by Sergio Roa (247216)

“…The average switching of the wildtype mice in each experiment was defined as 100% and the data shown represent the mean ± SD. …”

H₂S effects on kidney perfusion and oxygen consumption. by Hanno Maassen (7235339)

“…</b> Mitochondrial membrane potential in H₂S treated pig kidney mitochondria (data expressed as ratio red / green relative to control) show a 39% decrease in mitochondrial membrane potential in 100 ppm NaHS treated mitochondria compared to non-treated mitochondria. …”

Diazoxide effects in NMDA-induced neurodegeneration in hippocampal slice culture. by Noemí Virgili (457136)

“…Treatment 30 min before NMDA lesion with diazoxide prevented cell death, significantly at 100 µM but also at lowest dose 1 µM (C, D). Upon quantification, results showed a significant decrease at 100 µM (65±5% in PI uptake compared to control) and 1 µM (67±7% in PI uptake compared to control (E). …”

Rapamycin improved CA1 dendritic arborization and spine density in hippocampi from rats subjected to SE. by Amy L. Brewster (388121)

“…Scale bar = <b>A</b>: 100µm; <b>D</b>: 5µm. * compared to Sham+Veh, <i>P<</i>0.05; † compared to SE+Veh, <i>P<</i>0.05, ANOVA with Tukey’s <i>post hoc</i> test. …”

Cluster events and synchronization events in the modular network. by Wilfredo Blanco (746543)

“…The bottom black curve is the activity averaged 〈<i>a</i>〉 over all 250 cells in the population. When overlapping events occur in 3 or more clusters, 〈<i>a</i>〉 is above the threshold for what we refer to as a synchronization event (illustrated with gray shading) A: Without interconnections among the clusters (intraCC = 100%, interCC = 0%). …”

Supporting data for "Excess mortality during the COVID-19 pandemic in Hong Kong and South Korea" by Shuqi Xu (12992556)

“…Mortality from influenza and pneumonia was estimated to have a statistically significant increase in HK but a decrease in SK probability due to different coding practices. …”