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5541
Impact of Addition of a Newtonian Solvent to a Giesekus Fluid: Analytical Determination of Flow Rate in Plane Laminar Motion
Published 2024-12-01“…The pressure field is nonlinear due to the presence of the normal transverse stress component. …”
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5542
Association between short-term exposure to air pollutants and daily stroke incidence among residents in Qingdao city: a time series analysis of disease surveillance, environmental,...
Published 2024-10-01“…The distributed Lag nonlinear model (DLNM) was used to analyze the associations between daily mean concentrations of particulate matter with an aerodynamic diameter of less than 2.5 mum (PM2.5), particulate matter with an aerodynamic diameter of less than 10 mum (PM10), carbon monoxide (CO), ozone (O3), sulfur dioxide (SO2), and nitrogen dioxide (NO2) with daily stroke incidence, while controlling for the effects of potential confounders such as long-term trend and day of the week in Qingdao city. …”
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5543
Estimates for the green function and existence of positive solutions for higher-order elliptic equations
Published 2006-01-01“…Next, we aim at proving the existence of positive continuous solutions for the following polyharmonic nonlinear problems <mml:math alttext="$(-Delta )^{pm}u=h(cdot,u)$"> <mml:msup> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mo>−</mml:mo> <mml:mi>∆</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>p</mml:mi> <mml:mi>m</mml:mi> </mml:mrow> </mml:msup> <mml:mi>u</mml:mi> <mml:mo>=</mml:mo> <mml:mi>h</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mo>‧</mml:mo> <mml:mo>,</mml:mo> <mml:mi>u</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> </mml:math>, in <mml:math alttext="$D$"> <mml:mi>D</mml:mi> </mml:math> (in the sense of distributions), <mml:math alttext="$lim_{|x| ightarrow 1} ((-Delta)^{km}u(x)/(1-|x|)^{m-1})=0$"> <mml:msub> <mml:mtext>lim</mml:mtext> <mml:mrow> <mml:mrow> <mml:mo>|</mml:mo> <mml:mi>x</mml:mi> <mml:mo>|</mml:mo> </mml:mrow> <mml:mo>→</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mrow> <mml:mrow> <mml:msup> <mml:mrow> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mo>−</mml:mo> <mml:mi>∆</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> <mml:mrow> <mml:mi>k</mml:mi> <mml:mi>m</mml:mi> </mml:mrow> </mml:msup> <mml:mi>u</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>x</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> <mml:mo>/</mml:mo> <mml:mrow> <mml:msup> <mml:mrow> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mn>1</mml:mn> <mml:mo>−</mml:mo> <mml:mrow> <mml:mo>|</mml:mo> <mml:mi>x</mml:mi> <mml:mo>|</mml:mo> </mml:mrow> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> <mml:mrow> <mml:mi>m</mml:mi> <mml:mo>−</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:mrow> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>=</mml:mo> <mml:mn>0</mml:mn> </mml:math>, for <mml:math alttext=" $0leq kleq p-1$"> <mml:mn>0</mml:mn> <mml:mo>≤</mml:mo> <mml:mi>k</mml:mi> <mml:mo>≤</mml:mo> <mml:mi>p</mml:mi> <mml:mo>−</mml:mo> <mml:mn>1</mml:mn> </mml:math>, where <mml:math alttext="$D=B$"> <mml:mi>D</mml:mi> <mml:mo>=</mml:mo> <mml:mi>B</mml:mi> </mml:math> or <mml:math alttext="$Backslash {0}$"> <mml:mi>B</mml:mi> <mml:mo></mml:mo> <mml:mrow> <mml:mo>{</mml:mo> <mml:mn>0</mml:mn> <mml:mo>}</mml:mo> </mml:mrow> </mml:math> and <mml:math alttext="$h$"> <mml:mi>h</mml:mi> </mml:math> is a Borel measurable function on <mml:math alttext="$Dimes (0,infty )$"> <mml:mi>D</mml:mi> <mml:mo>×</mml:mo> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mn>0</mml:mn> <mml:mo>,</mml:mo> <mml:mi>∞</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> satisfying some appropriate conditions related to <mml:math alttext="$mathcal{J}_{m,n}^{(p)}$"> <mml:msubsup> <mml:mi>𝒥</mml:mi> <mml:mrow> <mml:mi>m</mml:mi> <mml:mo>,</mml:mo> <mml:mi>n</mml:mi> </mml:mrow> <mml:mrow> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>p</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:msubsup> </mml:math>.…”
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5544
Designing a Forecasting Model and Evaluating the Strategic Cooperation between the Banking System and Fintech Startups using the Adaptive Neural Fuzzy Inference System (ANFIS)
Published 2024-06-01“…Neuro-adaptive fuzzy inference system (ANFIS) was employed for inference rule design using MATLAB.ANFIS, a blend of fuzzy inference and neural networks, was chosen for its capacity for nonlinear problem-solving. The model's accuracy surpasses regression, aligning with reality for precise forecasting (Azar & Faraji, 2017). …”
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