Data_Sheet_1_Applying the Toyota production system to decrease the time required to transport patients undergoing surgery from the general ward to the operating room and reviewing... by Chien-Chung Lin (244489)

“…We hoped to reduce the time wasted by half, i.e., by 23*50% = 12 min. …”

Data_Sheet_2_Applying the Toyota production system to decrease the time required to transport patients undergoing surgery from the general ward to the operating room and reviewing... by Chien-Chung Lin (244489)

“…We hoped to reduce the time wasted by half, i.e., by 23*50% = 12 min. …”

Body weight, femoral length and <i>Notch3</i> transcripts of 8.5–9 week old male <i>Notch3</i>^{<i>em1Ecan</i>} mutant mice (gray bars) and littermate controls (white bars)... by Ernesto Canalis (516050)

Predicted distance (km) needed to achieve a correlation coefficient of at least r =  0.50 using the median-based linear regression models. by Claire Stevens (11127729)

Comparisons of both drugs for different assays performed to evaluate the IC₅₀ and IC₉₀ values against <i>L</i>.<i>major</i> parasites.(ND- Not defined). by Harshita Sharma (4836180)

IC₅₀ of indole alkaloid against lipase [23]. by Atikarn Janthongkaw (17020498)

The mean number of the emerged <i>D. melanogaster</i> adults. Mean number (±SE) of emerged adults and average percentage (±SE) of the residual fertility at the different treatment... by Flavia Cerasti (21655934)

Sampled locations with banana in 2016. by Dennis Ochola (11626912)

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Discovery of IHMT-MST1-58 as a Novel, Potent, and Selective MST1 Inhibitor for the Treatment of Type 1/2 Diabetes by Yun Wu (150224)

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Discovery of IHMT-MST1-58 as a Novel, Potent, and Selective MST1 Inhibitor for the Treatment of Type 1/2 Diabetes by Yun Wu (150224)

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Fig 3 - by Dennis Ochola (11626912)

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Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

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Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

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Fig 6 - by Dennis Ochola (11626912)

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Fig 9 - by Dennis Ochola (11626912)

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Fig 7 - by Dennis Ochola (11626912)

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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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Fig 4 - by Dennis Ochola (11626912)

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Fig 5 - 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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