Data_Sheet_1_Mixed methods evaluation of the COVID-19 changes to the WIC cash-value benefit for fruits and vegetables.pdf by Allison M. Nitto (14568527)

“…CVB monthly redemptions increased at $35/child/month compared to $9/child/month; however, adjusted ITS analyses found a decrease in redemption rates at $35/child/month. …”

Table_1_Effect of Time on Human Muscle Outcomes During Simulated Microgravity Exposure Without Countermeasures—Systematic Review.docx by Andrew Winnard (7255400)

“…</p><p>Conclusions: Moderate effects on a range of muscle parameters may occur within 7–14 days of unloading, with large effects within 35 days. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

PCR determination of insert size with the wildtype and mutant RagC protein plasmids. by Patrick Lypaczewski (10183671)

“…The third lane shows the excision of not only the RagC protein but the flanking UTR as indicated by the large decrease in size of amplicon (Band type 3).…”

Structural model of MZ0003 and mutagenesis. by Concetta De Santi (3151257)

“…<p><b>A)</b> Overall structure of MZ0003: α-helix of regions that aligned with the M. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

Cellular interaction network of proteins identified with dynamic MAM localization during RNA virus replication. by Stacy M. Horner (178713)

“…Previously described MAVS-interacting proteins (MAVS, MFN1, MFN2, C1QBP, AMFR, and TOMM70) are highlighted by large red circles. Nodes representing each protein were positioned on a cell map according to subcellular localization using annotation information from InnateDb.…”

Hyperconjugation Involving Strained Carbon–Carbon Bonds. Structural Analysis of Ester and Ether Derivatives and One-Bond ¹³C–¹³C Coupling Constants of α- and... by Shinn Dee Yeoh (2001157)

“…These hyperconjugative interactions are manifested as a strong response of the C–OR bond distance to the electron demand of the OR substituent. …”

The Role of Electrostatic Interactions in Binding of Histone H3K4me2/3 to the Sgf29 Tandem Tudor Domain by Bas J. G. E. Pieters (801824)

“…Herein, we report thermodynamic analyses for the recognition of histone H3K4me3 and H3K4me2 by the tandem tudor domain of Sgf29 and its recognition site variants. Small uncharged and large aromatic substitutions on the Asp266 site resulted in a significant decrease in binding affinities for both H3K4me3 and H3K4me2, demonstrating the role of the negative charge of Asp266 in the readout process by Sgf29. …”

DataSheet_1_Coral reef island shoreline change and the dynamic response of the freshwater lens, Huvadhoo Atoll, Maldives.docx by Lucy Carruthers (16398129)

“…The magnitudes and rates of reef island evolution were found to be highly site-specific, with island type found to be the only significant predictor of either net shoreline movement or weighted linear regression. Results suggest that freshwater lens volume was substantially impacted by shoreline change compared to changes in recharge whereby accretion and erosion led to large increases (up to 65.05%) decreases (up to -50.4%) in les volume, respectively. …”

Datasheet1_Age-related reference intervals for ambulatory electrocardiographic parameters in healthy individuals.docx by Kenichi Hashimoto (12904415)

“…However, few studies have conducted detailed large-scale investigations on the incidence of arrhythmias over 24 h, especially ectopy, in healthy individuals over a wide age range.…”

Table_2_Early apixaban administration considering the size of infarction and functional outcome in acute ischemic stroke.DOCX by Min Hwan Lee (1657279)

“…Background and purpose<p>Atrial fibrillation-related stroke (AF-stroke) is associated with an adverse prognosis, characterized by a high incidence of progression, recurrence, and hemorrhagic transformation. …”

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Suppression of Dendrite Formation in Lithium Metal Anodes by Zeeshan Ahmad (31617)

“…The machine-learning models are trained on purely structural features of the material, which do not require any first-principles calculations. We train a graph convolutional neural network on the shear and bulk moduli because of the availability of a large training data set with low noise due to low uncertainty in their first-principles-calculated values. …”

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Suppression of Dendrite Formation in Lithium Metal Anodes by Zeeshan Ahmad (31617)

“…The machine-learning models are trained on purely structural features of the material, which do not require any first-principles calculations. We train a graph convolutional neural network on the shear and bulk moduli because of the availability of a large training data set with low noise due to low uncertainty in their first-principles-calculated values. …”

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Suppression of Dendrite Formation in Lithium Metal Anodes by Zeeshan Ahmad (31617)

“…The machine-learning models are trained on purely structural features of the material, which do not require any first-principles calculations. We train a graph convolutional neural network on the shear and bulk moduli because of the availability of a large training data set with low noise due to low uncertainty in their first-principles-calculated values. …”