Distribution of miRs with a greater than two fold-change. by Stephanie L. Samani (17896610)

Mean change in PROM scores and odds of greater degree of improvement for each MC composition category. by Margaret-Ann Tait (16942927)

Climate Change Pressures Growing Degree Days (Map Service) by U.S. Forest Service (17476914)

“…Data for this record includes the following resources:</div><ul><li> <a href="https://www.arcgis.com/sharing/rest/content/items/fff187d8e89142c2a61c01a491f16d99/info/metadata/metadata.xml?format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/documents/usfs::climate-change-pressures-growing-degree-days-map-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://usfs.maps.arcgis.com/home/item.html?…”

The density of infected tissue depends on the degree of fungicide resistance and infection rate. by Nick P. Taylor (11888714)

Degree of unsaturation and abundance of EPA and DHA in PCs and PEs. by Simone Heyen (17712095)

Estimated change in the thermal niche range (difference between the 90% and 10% intervals, with units in degrees Celsius) of 30 species resulting from a change in 1 degree of tempe... by Eric J. Ward (7365704)

Marking example. by Qingjun Yu (1649473)

“…Based on the PyTorch deep learning framework, the initial U²-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”

Normalized synergy increased with greater recurrence and decreased with greater feedback. by Samantha P. Sherrill (11114128)

Receiver entropy decreased with greater recurrence and increased with greater feedback. by Samantha P. Sherrill (11114128)

Examples of functional connectivity changes caused by stimulating different brain regions under a large noise amplitude (10⁻²). by Yi Zheng (113896)

Moran’s I and Geary’s C values assessing degree of autocorrelation in degree of vulnerability and nutrition status of children. by Bidhubhusan Mahapatra (308531)

Ryanodine treated growth cones do not respond to the biophysical microfeatures while xestospongin C treated turn at a decreased frequency. by Joseph T. Vecchi (16879587)

Future changes in maximum temperature (°C), growing degree days (°C/days) and precipitation (%) over West Africa under RCP45/SSP2-4.5 scenario for the two time periods (2035–2064 and 2065–2094) as compared with the reference period (1975–2004) in CMIP5, CMIP6 and the difference between CMIP6 and CMIP5 models. by Benjamin Sultan (6269)

Immunohistochemical analysis of p-Akt expression in various experimental groups showing negative expression in control group, marked increased expression along the extended fibrous... by Rehab F. Abdel-Rahman (11886404)

The major role of <i>sarA</i> in limiting <i>Staphylococcus aureus</i> extracellular protease production <i>in vitro</i> is correlated with decreased virulence in diverse clinical... by Mara J. Campbell (14579826)

“…We also showed that mutation of <i>sarA</i> results in a greater increase in protease production, and decrease in biofilm formation, than mutation of the loci encoding any of these other proteins. …”

Dynamic Two-Dimensional Covalent Organic Frameworks with Large Solvent-Induced Lattice Expansion by Anastasiya Pratasouskaya (19851036)

Dynamic Two-Dimensional Covalent Organic Frameworks with Large Solvent-Induced Lattice Expansion by Anastasiya Pratasouskaya (19851036)

Fat bodies have a high degree of priming-specific transcriptional up-regulation. by Kevin Cabrera (16819599)

Growing degree accumulated at days at the end of the year based on the 0 C threshold. by Benjamin Marquis (19443763)

Regions or types in FAN stable blocks in (a) 1970, (b) 1990, and (c) 2010. by Koji Oishi (9465020)