Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

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Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…<p><b>(a)</b> Autocorrelation profiles of 53 key BO-NN features. Per feature, a black line shows the time point where the autocorrelation drops below .5. …”

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells. by Hannah C. Kubinski (21213168)

Fig 5 - by Dennis Ochola (11626912)

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Top k-NN clusters of metabolites decreased at 4 hours. by Zarazuela Zolkipli-Cunningham (5234186)

Top k-NN cluster of metabolites decreased at 30 minutes. by Zarazuela Zolkipli-Cunningham (5234186)

Matrix crosslinking decreases cell migration persistence. by Michael Pamonag (12295175)

Etesevimab in combination with JS026 neutralizing SARS-CoV-2 and its variants by Fengze Wang (10452968)

“…As an antiviral agent, numerous mAbs recognize the epitopes that overlap with ACE2-binding sites in the SARS-CoV-2-RBD. Some studies have shown that residual changes on the spike protein can significantly decrease the efficiency of neutralizing antibodies. …”

Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network by Umesh M. Kulkarni (10098026)

“…The results show that proposed DDMA performs better than the existing algorithm in-terms of decreased node depletion rate by 35% and 25% more coverage. …”

Interplay Between Applied Force and Radical Attack in the Mechanochemical Chain Scission of Poly(acrylic acid) by Michael T. Robo (1342344)

“…The force needed for bond rupture was estimated to decrease from 4.7 to 2.5 nN. This occurs because hydrogen atom abstraction drastically alters the potential energy surface of the scissile bond. …”

Interplay Between Applied Force and Radical Attack in the Mechanochemical Chain Scission of Poly(acrylic acid) by Michael T. Robo (1342344)

“…The force needed for bond rupture was estimated to decrease from 4.7 to 2.5 nN. This occurs because hydrogen atom abstraction drastically alters the potential energy surface of the scissile bond. …”

Interplay Between Applied Force and Radical Attack in the Mechanochemical Chain Scission of Poly(acrylic acid) by Michael T. Robo (1342344)

“…The force needed for bond rupture was estimated to decrease from 4.7 to 2.5 nN. This occurs because hydrogen atom abstraction drastically alters the potential energy surface of the scissile bond. …”

Interplay Between Applied Force and Radical Attack in the Mechanochemical Chain Scission of Poly(acrylic acid) by Michael T. Robo (1342344)

“…The force needed for bond rupture was estimated to decrease from 4.7 to 2.5 nN. This occurs because hydrogen atom abstraction drastically alters the potential energy surface of the scissile bond. …”

Interplay Between Applied Force and Radical Attack in the Mechanochemical Chain Scission of Poly(acrylic acid) by Michael T. Robo (1342344)

“…The force needed for bond rupture was estimated to decrease from 4.7 to 2.5 nN. This occurs because hydrogen atom abstraction drastically alters the potential energy surface of the scissile bond. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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