Revisiting the Concept of DIC: A Phenotype-guided Framework for Modern Hemostatic Medicine. [PDF]
Crochemore T, Scarlatescu E.
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Bioactive Fillers in Bulk-Fill Composite Resins: A Comprehensive Review of the Effects on Polymerization Shrinkage Behavior and Mechanical Performance. [PDF]
Constantin V +9 more
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Experimental Study of Low-Cycle Fatigue and Recovery of Polymer Blends for Viscous Damping Walls. [PDF]
He S, Sun F, Xu D, Wu X.
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Effects of pneumatic tube systems on next-generation viscoelastic coagulation test devices in septic patients and healthy individuals: Results of the randomized controlled VETaPT trial. [PDF]
Mirus M +8 more
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Hairy‐Skin‐Adaptive Viscoelastic Dry Electrodes for Long‐Term Electrophysiological Monitoring
Advanced Materials, 2023AbstractLong‐term epidermal electrophysiological (EP) monitoring is crucial for disease diagnosis and human–machine synergy. The human skin is covered with hair that grows at an average rate of 0.3 mm per day. This impedes a stable contact between the skin and dry epidermal electrodes, resulting in motion artifacts during ultralong‐term EP monitoring ...
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Interaction between long term viscoelastic and mechanosorptive response of wood
Since the first-published work in the 50's the time dependent behaviour raised an increasing interest in wood material research. Creep research has a decisive influence in timber structures where prediction of total deflection is necessary for durable structural design. The nature of polymeric constituents induces viscoelastic behavior to wood.
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In this paper, we consider a viscoelastic wave equation with an absorbing term and space–time dependent damping term. Based on the weighted energy method, and by assuming that the kernel decaying exponentially, we obtain the L2 decay rates of the ...
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Multidimensional viscoelasticity equations with nonlinear damping and source terms
Nonlinear Analysis: Theory, Methods & Applications, 2004The authors investigate the initial-boundary value problem \(u_{tt}-\Delta u_t-\sum_{i=1}^N\frac \partial{\partial x_i}\sigma_i(u_{x_i})+f(u_t)=g(u)\), \(x\in \Omega\), \(t>0,\) \(u(x,0)=u_0(x)\), \(u_t(x,0)=u_1(x)\), \(x\in \Omega\); \(u(x,t)=0\), \(x\in \partial\Omega\), \(t\geq 0,\) where \(\Omega\subset \mathbb R^N\) is a bounded domain.
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