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background the platelet-rich plasma (prp) and hyaluronic acid (ha) constitute a system of tissue growth that can regenerate damaged tissue. this study was performed to evaluate the effect of prp and ha in treatment of complications of achilles tendon reconstruction. methods we selected ten patients affected by achilles tendon injuries resulting from post-surgical complications subsequent to ten...

background clinical tendon injuries represent serious and unresolved issues of the case on how the injured tendons could be improved based on natural structure and mechanical strength. the aim of this studies the effect of aquatic activities and alogenic platelet rich plasma (prp) injection in healing achilles tendons of rats. methods forty rats were randomly divided into 5 equal groups. sevent...

background:the utility and efficacy of novel materials in tissue regeneration and antimicrobial therapy are contingent upon the employment of either blood derivatives rich in platelets or platelet-poor-plasma (ppp). this effect is largely mediated by the increased or decreased concentration of platelets in the plasma. the current study aimed to analyze and evaluate the impact of platelet-rich (...

Background: The purpose of this study was to create biomaterial scaffolds like platelet-rich plasma (PRP) and platelet-rich fibrin (PRF) containing stromal cell-derived factor-1 (SDF1) as a chemokine to induce hyaline cartilage regeneration of rabbit knee in a full thickness defect.Methods: We created a full thickness defect in the trochlear groove of thirty-six bilateral knees of eighteen matu...

System Identi cation for linear systems and models is a well established and mature topic. Identifying nonlinear models is a much more rich and demanding problem area. In this presentation some major approaches and concepts for that are outlined

Our study investigates possible formation mechanisms of the very recent bright gully deposits (BGDs) observed on Mars in order to assess if liquid water was required. We use two models in our assessment: a one-dimensional (1D) kinematic model to model dry granular flows and a two-dimensional (2D) fluiddynamic model, FLO-2D (O’Brien et al., 1993, FLO Engineering), to model water-rich and wet sed...

Probabilistic relational models (PRMs) are a rich representation language for structured statistical models. They combine a frame-based logical representation with probabilistic semantics based on directed graphical models (Bayesian networks). This chapter gives an introduction to probabilistic relational models, describing semantics for attribute uncertainty, structural uncertainty, and class ...

Based on evolutionary spectral synthesis models explicitly including the spectra of variable AGB stars, we select near-IR features that dentify the strong O-rich or C-rich AGB contributions to the near-IR light of post-starburst populations. AGB temperature scales and lifetimes remain major sources of uncertainties. We discuss applications and suggest massive post-starburst clusters as prime ta...

Probabilistic relational models (PRMs) are a rich representation language for structured statistical models. They combine a frame-based logical representation with probabilistic semantics based on directed graphical models (Bayesian networks). This chapter gives an introduction to probabilistic relational models, describing semantics for attribute uncertainty, structural uncertainty, and class ...