Model summary. by Dania AL-Najjar (11840857)

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Flowchart of neural network and linear regression prediction model. by Dania AL-Najjar (11840857)

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Descriptive statistics of the independent and dependent variables. by Dania AL-Najjar (11840857)

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Parameters for linear regression. by Dania AL-Najjar (11840857)

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Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

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Fig 3 - by Dania AL-Najjar (11840857)

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ANOVA. by Dania AL-Najjar (11840857)

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ANOVA a test of the linear regression model. by Dania AL-Najjar (11840857)

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Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

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ANOVA. by Dania AL-Najjar (11840857)

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Descriptive statistics of main variables. by Dania AL-Najjar (11840857)

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Preparatory neuronal activity in ALM is decreased, but remains significant in quiet trials devoid of movements. by Vahid Esmaeili (12700352)

Δ<i>gra72</i> parasites form bubble vacuoles with decreased PVM permeability to small molecules. by Tatiana C. Paredes-Santos (16699433)

Hit expansion around chloroxine. by Sam Barker (4832121)

Analyse vehicle–pedestrian crash severity at intersection with data mining techniques by Siying Zhu (459098)

“…The ANN model which has the best performance is selected to determine the most significant contributing factors to the fatal and severe crashes, and the marginal effects of these factors are also analysed. …”

Multivariate logistic regression results. by Chun-Chieh Chao (2681722)

“…</p><p>Results</p><p>Significant risk factors for overtaking crashes included heavy goods vehicles (HGVs) as crash partners (AOR = 1.30, 95% CI 1.27–1.33), and elderly crash partners (AOR = 2.01, 95% CI = 1.94–2.09), and decreased risk in rural area with speed limits of 20–30 miles per hour (AOR = 0.45, 95% CI = 0.43–0.47). …”

Univariate logistic regression results. by Chun-Chieh Chao (2681722)

“…</p><p>Results</p><p>Significant risk factors for overtaking crashes included heavy goods vehicles (HGVs) as crash partners (AOR = 1.30, 95% CI 1.27–1.33), and elderly crash partners (AOR = 2.01, 95% CI = 1.94–2.09), and decreased risk in rural area with speed limits of 20–30 miles per hour (AOR = 0.45, 95% CI = 0.43–0.47). …”

Fatally injured drivers in Norway 2005–2015—Trends in substance use and crash characteristics by Anja Valen (6806972)

“…In-depth crash investigations of all fatal RTCs started in Norway in 2005. …”

Frontal crash seat belt restraint effectiveness and comfort accessories used by older occupants by Tom Whyte (3911467)

“…</p> <p><b>Results:</b> Initial distance between the seat belt anchor and ATD hip was associated with a statistically significant decrease in Head Injury Criterion and increase in sternal deflection. …”

Characteristics of injuries related to traffic crashes in Israel before and during the COVID-19 pandemic by Yaniv Yonai (18270445)

“…</p> <p>The study reveals significant changes in traffic crashes characteristics during the pandemic period, including a notable increase in cyclist victims and a decrease in pedestrian incidents. …”