A protein-protein interaction (PPI) map of the paclitaxel associated DRG proteome. by Rania Hanna (18830411)

Life Cycle Assessment to Quantify Global Warming and Human Health–Respiratory Impacts of Using Composites from Waste Wind Turbine Blades as Feedstock for Cement Clinker and Fibergl... by Caroline V. Cameron (22355207)

“…The increasing deployment of wind turbines also creates significant waste when turbine materials reach their end-of-life. …”

Graphical Abstract. by Furkan Özdemir (21560297)

“…Peak heart rate (p < 0.001), heart rate reserve (p < 0.001) and shoulder abductor strength improved significantly in AG compared to CG (p = 0.019).…”

PONE-Dataset. by Furkan Özdemir (21560297)

“…Peak heart rate (p < 0.001), heart rate reserve (p < 0.001) and shoulder abductor strength improved significantly in AG compared to CG (p = 0.019).…”

Demographic characteristics of groups. by Furkan Özdemir (21560297)

“…Peak heart rate (p < 0.001), heart rate reserve (p < 0.001) and shoulder abductor strength improved significantly in AG compared to CG (p = 0.019).…”

Fig 6 - by Sahar Abed (18554529)

Evolution of behavioral measures for 300 networks over 16 trials with plasticity. by Jyotika Bahuguna (729510)

“…The comparisons with reward rate yield distributions skewed to significantly above 0, suggesting that the cosine distances are lowest for reward rates. …”

Distance from the optimal direction for different levels of reward probabilities. by Jyotika Bahuguna (729510)

“…As the conflict increases, accuracy decreases and RTs show a lower average decrease after plasticity B) Cosine distances with respect to the RT (minimization), Accuracy (maximization) and Reward rate (maximization) vectors for the three reward probabilities. …”

Correlation between each MSTM and each generative parameter. by Fabiano Baroni (234173)

“…Correlation values that are not significant (at , uncorrected) are grayed-out. For each spike train family, MSTMs are ordered according to decreasing absolute values of correlation with the generative parameter that determines synchrony, which is shown in the top row. …”

Relating the biophysical forces that govern bacterial adhesion to experimental data. by Mikkel Anbo (15287803)

Dependent and independent variables (N = 316). by Priyanka Saluja (20501044)

“…<div><p>Introduction</p><p>Unmet oral health needs remain a significant issue among immigrant adolescents, often exacerbated by experiences of racial discrimination. …”

Discriminating wake vs. NREM sleep from individual spike train measures. by Fabiano Baroni (234173)

Frequency of short–term outcomes of IVH. by Annette Baine Mwatha (9046241)

“…Logistic regression analysis identified that exposure to antenatal steroids exhibited significantly lower odds of IVH occurrence (AOR 0.075, 95% CI 0.007–0.757). …”

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

Strategy parameters across development for male mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

“…Both parameters S1 “Inappropriate Lose-Shift” and S3 “Inappropriate Lose-Stay” decreased significantly with age in set size = 2 (C: <i>p</i> = 0.02, E: <i>p</i> = 0.04), but not in set size = 4 (H,J). …”

<i>In vitro</i> fluorescence imaging and physicochemical characterization of the 3WJ-n × Bro fluorescent aptamer. by Sha Liu (80416)

“…***P < 0.001; ns, not significant. <b>(d)</b> Relative fluorescence decay rate (RFDR) of the RNA aptamers under light exposure for 5 hours. …”

Alternative representation of daunorubicin fluorescence testing of novel inhibitors. by Lauren A. McCormick (20540638)

Data declaration. by Mengting Jin (1888933)

“…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10⁵ t and a growth rate of 1.58%. …”

Land transfer parameters. by Mengting Jin (1888933)

“…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10⁵ t and a growth rate of 1.58%. …”

Technology roadmap. by Mengting Jin (1888933)

“…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10⁵ t and a growth rate of 1.58%. …”