Interaction effect on overall average of TUs. by Fuxiang Wang (8316573)

“…However, ST translation difficulty significantly influenced TU processing. For the more difficult text, the APTU size decreased notably, the number of 1–6-word PTUs increased substantially, and the frequency of ≥ 7-word PTUs remained relatively stable. …”

Balance test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Mechanism analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Endogenous test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Heterogeneity analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Robustness test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Baseline results of the impact of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

The influencing factors of RLM. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Variable definitions and basic statistics. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Contribution of individual models to the ensemble performance on the Lazzarotto <i>et al</i>. (2020) GUIDE-seq dataset. by Kai Kimata (22608153)

The percentage of studies that resulted in insect death increased over time. by Craig D. Perl (3326880)

“…There was a significant decrease in the proportion of studies reporting just invasive handling (without death) over time (linear regression; t_20,18 = 4.00, p = 0.001, R²= 0.44). …”

Feature importance generated by a logistic regression classifier to differentiate benign and malignant myxoid tumors. by Joshua M. Lawrenz (20623563)

Experimental Analysis of Paraffin Deposition in Slug Flow by Aziz Alhejaili (10331604)

“…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …”

Experimental Analysis of Paraffin Deposition in Slug Flow by Aziz Alhejaili (10331604)

“…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …”

Experimental Analysis of Paraffin Deposition in Slug Flow by Aziz Alhejaili (10331604)

“…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …”

Study sample. by Nipaporn Butsing (19470003)

“…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”

Comparison of dot gain across paper types and screen frequency. by Xiaoli Liu (165371)

“…Dot gain curves for 133 lpi and 175 lpi show a consistent non-linear trend, rising to a maximum in the mid-tone range (40%–60% dot area) before decreasing. …”

Comparison of DSIMC generating co-cultures in the second week of incubation on days 9, 12 and 14. by Nils Ågren (21474419)

Results for Case Study-II. by Nouman Qamar (21511939)

“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”