The study involves use of factorial design for optimization of forced degradation conditions and development of stability indicating method for medroxyprogestrone acetate (MPA) or depo-provera as known in the market. MPA is an important contraceptive and anticancer drug especially for treatment of breast cancer and it is the first time to study the different conditions affecting its stability. MPA was subjected to different variables such as solvent type, pH and the time subjected to UV light. Factorial design has been used during forced degradation to determine significant factors responsible for degradation and to optimize degradation conditions reaching maximum degradation. Factors responsible for forced degradation were statistically evaluated using Bubble and Surface plots. Variables proved to be significant (p  less then  0.05) and the suggested model represented a perfect example for indicating the efficiency of factorial designs in optimizing the degradation conditions that give maximum percent of degradation. We investigated also the solubility and stability profiles of MPA in aqueous solutions. https://www.selleckchem.com/products/azd8186.html Stability study results showed a very low stability profile of MPA in all the aqueous solutions with rapid degradation rate more than other solvents. The current research may contribute to enrich the knowledge of the physicochemical properties of this drug for exploring its full anticancer potential in the future. OBJECT Up to 30 % of patients with epilepsy are medically intractable, defined as persistent seizures despite 2 or more appropriate anti-seizure medications (ASMs) at therapeutic doses. Such patients require non-pharmacologic management that often includes epilepsy surgery. This paper aims to assess the pre-operative ASM use patterns of patients who were surgically managed. METHODS Retrospective review of children who underwent surgery for epilepsy at Boston Children's Hospital between January 2010 and December 2014 were performed. Patient demographics, covariates, etiology, surgery type and ASM use patterns were assessed. Patient characteristics were displayed using descriptive statistics, correlation between ASM use and patient covariates were calculated with the Spearman coefficient, and univariate analysis was performed with Cox regression analysis. RESULTS 141 consecutive records of children were reviewed. All underwent one of four surgical procedures focal resection, hemispherectomy, corpus callosotomy,tween time of seizure onset and surgery. Increased medication trials was directly correlated with increased time to definitive surgery. Improved education amongst neurologists for earlier surgical referral is required, especially for pathologies associated with good surgical outcome. Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease with an overall median 5-year survival rate of 8%. This poor prognosis is because of the development of resistance to chemotherapy and radiation therapy and lack of effective targeted therapies. IκB kinase enhancer (IKBKE) overexpression was previously implicated in chemoresistance. Because IKBKE is frequently elevated in PDAC and IKBKE inhibitors are currently in clinical trials, we evaluated IKBKE as a therapeutic target in this disease. Depletion of IKBKE was found to significantly reduce PDAC cell survival, growth, cancer stem cell renewal, and cell migration and invasion. Notably, IKBKE inhibitor CYT387 and IKBKE knockdown dramatically activated the MAPK pathway. Phospho-RTK array analyses showed that IKBKE inhibition leads to rapid upregulation of ErbB3 and IGF-1R expression, which results in MAPK-ERK pathway activation-thereby limiting the efficacy of IKBKE inhibitors. Furthermore, IKBKE inhibition leads to stabilization of FOXO3a, which is required for RTK upregulation on IKBKE inhibition. Finally, we demonstrated that the IKBKE inhibitors synergize with the MEK inhibitor trametinib to significantly induce cell death and inhibit tumor growth and liver metastasis in an orthotopic PDAC mouse model. We previously found that cocaine abuse could increase microRNA134 (miR134) levels in the hippocampus; yet the roles of miR134 in cocaine-related abnormal psychiatric outcomes remain unknown. In this study, using the cocaine-induced conditioned place preference (CPP) mice model, we found that mice exhibit enhanced anxiety-like and depression-like behaviors during the cocaine extinction (CE) period of CPP, accompanied by obviously increased miR134 levels and decreased levels of 19 genes that are associated with synaptic plasticity, glia activity, and neurochemical microenvironments, in the ventral hippocampus (vHP). Knockdown of miR134 in vHP in vivo reversed the changes in 15 of 19 potential gene targets of miR134 and rescued the abnormal anxiety-like and depression-like behavioral outcomes in CE mice. In parallel, knockdown of miR134 reversed CE-induced changes in dendritic spines and synaptic proteins and increased the field excitatory postsynaptic potential (fEPSP) of CA1 pyramidal neurons in the vHP of CE mice. In addition, knockdown of miR134 suppressed the CE-enhanced microglia activity, inflammatory, apoptotic, and oxidative stress statuses in the vHP. With the data taken together, miR134 may be involved in cocaine-associated psychiatric problems, potentially via regulating the expressions of its gene targets that are related to synaptic plasticity and neurochemical microenvironments. Skateboarding is being an emerging travel model, especially for young travelers. The conflict between skateboarders and the other road users has raised safety concerns for traffic engineers. Safety evaluation about skateboarder-related conflicts has not been well performed due to the low skateboarder-related crashes and the limited historical crash data. Near-crashes have been considered as surrogate data for skateboard-related safety evaluation. This paper developed a procedure to extract skateboarder-associated near-crashes automatically with the roadside Light Detection and Ranging (LiDAR). A new indicator distance-deceleration-time profile (DDTP) which combined time, space, and deceleration information was introduced for skateboarder-pedestrian near-crash identification. The DDTP was developed for the roadside LiDAR data specially. The case studies showed that the proposed method can extract skateboarder-pedestrian safety-critical events with high accuracy. The proposed method can be also used for skateboarder-vehicle and skateboarder-bicycle near-crash identification.