Management of immature teeth by dentin-pulp regeneration : a recent approach

Treatment of the young permanent tooth with a necrotic root canal system and an incompletely developed root is very difficult and challenging. Few acceptable results have been achieved through apexification but use of long-term calcium hydroxide might alter the mechanical properties of dentin. Thus, one alternative approach is to develop and restore a functional pulp-dentin complex. Procedures attempting to preserve the potentially remaining dental pulp stem cells and mesenchymal stem cells of the apical papilla can result in canal revascularization and the completion of root maturation. There are several advantages of promoting apexogenesis in immature teeth with open apices. It encourages a longer and thicker root to develop thus decreasing the propensity of long term root fracture. So, the present article reviews the recent approach of regeneration of pulp-dentin complex in immature permanent teeth. © Medicina Oral S. L

Kinase profiling of liposarcomas using RNAi and drug screening assays identified druggable targets.

BackgroundLiposarcoma, the most common soft tissue tumor, is understudied cancer, and limited progress has been made in the treatment of metastatic disease. The Achilles heel of cancer often is their kinases that are excellent therapeutic targets. However, very limited knowledge exists of therapeutic critical kinase targets in liposarcoma that could be potentially used in disease management.MethodsLarge RNAi and small-molecule tyrosine kinase inhibitor screens were performed against the proliferative capacity of liposarcoma cell lines of different subtypes. Each small molecule inhibitor was either FDA approved or in a clinical trial.ResultsScreening assays identified several previously unrecognized targets including PTK2 and KIT in liposarcoma. We also observed that ponatinib, multi-targeted tyrosine kinase inhibitor, was the most effective drug with anti-growth effects against all cell lines. In vitro assays showed that ponatinib inhibited the clonogenic proliferation of liposarcoma, and this anti-growth effect was associated with apoptosis and cell cycle arrest at the G0/G1 phase as well as a decrease in the KIT signaling pathway. In addition, ponatinib inhibited in vivo growth of liposarcoma in a xenograft model.ConclusionsTwo large-scale kinase screenings identified novel liposarcoma targets and a FDA-approved inhibitor, ponatinib with clear anti-liposarcoma activity highlighting its potential therapy for treatment of this deadly tumor

Generalized local projection stabilized nonconforming finite element methods for Darcy equations

An a priori analysis for a generalized local projection stabilized finite element solution of the Darcy equations is presented in this paper. A first-order nonconforming P nc 1 finite element space is used to approximate the velocity, whereas the pressure is approximated using two different finite elements, namely piecewise constant P0 and piecewise linear nonconforming P nc 1 elements. The considered finite element pairs, P nc 1 /P0 and P nc 1 /P nc 1 , are inconsistent and incompatibility, respectively, for the Darcy problem. The stabilized discrete bilinear form satisfies an inf-sup condition with a generalized local projection norm. Moreover, a priori error estimates are established for both finite element pairs. Finally, the validation of the proposed stabilization scheme is demonstrated with appropriate numerical examples

Synthesis And Assessment of Antimicrobial Potential of Some Novel 1, 3, 5-Trisubstituted Pyrazolines Derivatives

The chalcones and Pyrazoline demonstrate diverse pharmacological profiles, including antimalarial activity with distinct mechanisms of action, making them highly intriguing options.  The synthesis of the intended compounds 3a-3p and 4a-4p was accomplished using the widely recognized Claisen-Schmidt reaction. The resulting products were purified by recrystallization from methanol, resulting in a yield of 60-70%. The required product was synthesized by refluxing chalcone and nicotinic acid hydrazide in n-butanol or methanol, respectively, during the second stage. The synthesized compounds were subjected to physico-chemical characterisation, including investigation of their melting point, FT-IR, 1H-NMR mass spectrum, and elemental properties. The results demonstrated complete concordance between the observed values and the expected values, therefore validating the anticipated structures of the produced molecules. The IR spectra of the synthesized compounds exhibited absorption bands that are indicative of the expected structure of the produced molecules. The NMR spectra of the synthesized compounds exhibited signals corresponding to both aliphatic and aromatic protons, which are indicative of the expected structure of the produced compounds. The synthesized compounds were assessed for their antibacterial activity. The compounds were further assessed for their in vitro antifungal efficacy. The outcomes of the in vitro antibacterial and antifungal activity of the produced compounds (4a – 4p) are exhibited potential antimicrobial and antifungal activity

An overlapping local projection stabilization for Galerkin approximations of Stokes and Darcy flow problems

An a priori analysis for a generalized local projection stabilized finite element approximation of the Stokes, and the Darcy flow equations are presented in this paper. A first-order conforming PC1 finite element space is used to approximate both the velocity and pressure. It is shown that the stabilized discrete bilinear form satisfies the inf-sup condition in the generalized local projection norm. Moreover, a priori error estimates are established in a mesh-dependent norm as well as in the L2 -norm for the velocity and pressure. The optimal and quasi-optimal convergence properties are derived for the Stokes and the Darcy flow problems. Finally, the derived estimates are numerically validated with appropriate examples

Radial Basis Neural Network for Availability Analysis

The appliance of radial basis neural network is demostrated in this paper. The method applies failure and repair rate signals to learn the hidden relationship presented into the input pattern. Statistics of availability of several years is considered and collected from the management of concern plant. This data is considered to train and calidate the radial basis neural network (RBNN). Subsequently validated RBNN is used to estimate the availability of concern plant. The main objective of using neural network approach is that it’s not require assumption, nor explicit coding of the problem and also not require the complete knowledge of interdependencies, only requirement is raw data of system functioning

Inositol Treatment and ART Outcomes in Women with PCOS

Polycystic ovary syndrome (PCOS) affects 5–10% of women in reproductive age and is characterized by oligo/amenorrhea, androgen excess, insulin resistance, and typical polycystic ovarian morphology. It is the most common cause of infertility secondary to ovulatory dysfunction. The underlying etiology is still unknown but is believed to be multifactorial. Insulin-sensitizing compounds such as inositol, a B-complex vitamin, and its stereoisomers (myo-inositol and D-chiro-inositol) have been studied as an effective treatment of PCOS. Administration of inositol in PCOS has been shown to improve not only the metabolic and hormonal parameters but also ovarian function and the response to assisted-reproductive technology (ART). Accumulating evidence suggests that it is also capable of improving folliculogenesis and embryo quality and increasing the mature oocyte yield following ovarian stimulation for ART in women with PCOS. In the current review, we collate the evidence and summarize our current knowledge on ovarian stimulation and ART outcomes following inositol treatment in women with PCOS undergoing in vitro fertilization (IVF) and/or intracytoplasmic sperm injection (ICSI)

Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation

In this article, we design and analyze an arbitrary-order stabilized finite element method to approximate the unique continuation problem for laminar steady flow described by the linearized incompressible Navier–Stokes equation. We derive quantitative local error estimates for the velocity, which account for noise level and polynomial degree, using the stability of the continuous problem in the form of a conditional stability estimate. Numerical examples illustrate the performances of the method with respect to the polynomial order and perturbations in the data. We observe that the higher order polynomials may be efficient for ill-posed problems, but are also more sensitive for problems with poor stability due to the ill-conditioning of the system