PI3K-C2α is a positive regulator of autophagy. by Nathan M. Merrill (4437367)

eDNA sampled a higher diversity of taxonomic groups than MOCNESS. by Michelle E. Dan (18563775)

Interaction between competition and individual variability. by Richard A. Blythe (10912355)

“…<p>The rate at which the lower signal frequency among the two members of the society grows is given by the upper curve, while that for the higher signal is given by the lower curve. When the mean of these two frequencies exceeds , the lower signal frequency increases faster than the higher frequency decreases (shown by the arrows), yielding a net increase for this majority signal.…”

Cell type-specific expression of <i>mif</i>, <i>cd74a</i>, and <i>cd74b</i>. by Safia A. Essien (20108379)

Risk factors affecting myopia. by In Jeong Lyu (8917811)

“…In the crude logistic regression model, age (odd ratio [OR] 0.98), height (OR, 1.02), astigmatism (OR, 1.57) (all p < 0.0001), age at menarche (OR, 0.95; p = 0.0005), white ethnicity, being born in the US, higher level of education, and higher annual household income (all p trend <0.0001) were significantly associated with myopia. 1-year increments in age at menarche was associated with a 4% decrease in the risk of myopia after adjusting for age, height, body mass index (BMI), ethnicity, and astigmatism (OR, 0.96; 95% CI, 0.93 to 0.99, p = 0.0288). …”

Table_1_Resiliency of healthcare expenditure to income shock: Evidence from dynamic heterogeneous panels.docx by Shafiun Nahin Shimul (11414081)

“…While for most developed countries, the short-run elasticities are lower in comparison with the short-run elasticities of developing countries indicating that many developing countries may face a larger decrease in health expenditure with the forecasted decline in income due to impending economic recession. …”

Fig 1 - by Björn Jörges (9258411)

Energy consumption prediction of coal-fired unit boiler system based on different operating states by Xiaojing Ma (44943)

“…The result shows that Model 1 outperforms Model 2 with 24.45% and 18.22% lower aMAE and aRMSE, respectively. compared to Model 3, it shows a decrease of 24.07% and 16.98%. …”

Schematic diagram of the experimental program. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Parameters and values of social force model. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Orthogonal experimental groups. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Data structure of speed-density parameters. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Schematic diagram of the experimental scenario. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Data structure of the simulation results. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Range of walking and non-walking areas. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Simulation running scenarios. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Flow chart of experimental data processing. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

Contour coordinates of non-walking areas. by Xiaocheng Gao (19812705)

“…The clear effects such as Peds2 density on the Peds1 speed cannot be determined. A piecewise function combined with a linear function and an exponential function is constructed as the Peds1 speed model considering the influence of the crossing angle. …”

The temporal dynamics of non-synonymous amino acid changes in the ORF1ab gene (P3395H, I4915T and L5086I), S gene (T19I, G252V, L452Q, Q498R, N679K, S704L, N856K, Q954H, N969K and... by Ke Li (106849)

Microfluidic Investigation of Foam Coarsening Dynamics in Porous Media at High-Pressure and High-Temperature Conditions by Wei Yu (43094)

“…The growth rate of the average bubble area (⟨<i>a</i>⟩) over time shows a long-term linear increase when ⟨<i>a</i>⟩ is between 1/5 and 1/2 of the average pore size. …”