Association of Human Herpesvirus-6B with Mesial Temporal Lobe Epilepsy

Steve Jacobson and colleagues report finding human herpesvirus-6B DNA in brain resections from 11 of 16 patients with mesial temporal lobe epilepsy, strengthening the evidence for a role for this virus in this condition

Tongue lesions in psoriasis: a controlled study

BACKGROUND: Our objective was to study tongue lesions and their significance in psoriatic patients. METHODS: The oral mucosa was examined in 200 psoriatic patients presenting to Razi Hospital in Tehran, Iran, and 200 matched controls. RESULTS: Fissured tongue (FT) and benign migratory glossitis (BMG) were the two most frequent findings. FT was seen more frequently in psoriatic patients (n = 66, 33%) than the control group (n = 19, 9.5%) [odds ratio (OR): 4.69; 95% confidence interval (CI): 2.61–8.52] (p-value < 0.0001). BMG, too, was significantly more frequent in psoriatic patients (28 cases, 14%) than the control group (12 cases, 6%) (OR: 2.55; 95% CI: 1.20–5.50) (p-value < 0.012). In 11 patients (5.5%), FT and BMG coexisted. FT was more frequent in pustular psoriasis (7 cases, 53.8%) than erythemato-squamous types (56 cases, 30.4%). On the other hand, the frequency of BMG increased with the severity of psoriasis in plaque-type psoriasis assessed by psoriasis area and severity index (PASI) score. CONCLUSIONS: Nonspecific tongue lesions are frequently observed in psoriasis. Further studies are recommended to substantiate the clinical significance of these seemingly nonspecific findings in suspected psoriatic cases

PMU Placement Methods in Power Systems based on Evolutionary Algorithms and GPS Receiver

In this paper, optimal placement of Phasor Measurement Unit (PMU) using Global Positioning System (GPS) is discussed. Ant Colony Optimization (ACO), Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used for this problem. Pheromone evaporation coefficient and the probability of moving from state x to state y by ant are introduced into the ACO. The modified algorithm overcomes the ACO in obtaining global optimal solution and convergence speed, when applied to optimizing the PMU placement problem. We also compare this simulink with SA, PSO and GA that to find capability of ACO in the search of optimal solution. The fitness function includes observability, redundancy and number of PMU. Logarithmic Least Square Method (LLSM) is used to calculate the weights of fitness function. The suggested optimization method is applied in 30-bus IEEE system and the simulation results show modified ACO find results better than PSO and SA, but same result with GA

Opracowanie nowej klasyfikacji dla oceny mechanizacji w kopalniach węgla

The coal mine mechanization is important to achieve optimum quality and maximum efficiency of coal production. Mechanization is an objective that can result in significant cost reductions and higher levels of profitability for underground mines. The potential of coal mine mechanization depends on some important factors Such as seam inclination and thickness, geological disturbances, seam floor conditions and roof conditions. These factors should be considered in coal mine mechanization analysis. In this study, the new classification was developed with the respect to the mentioned factors. Using this system the coal seam mechanization index (CSMi) of several types of coal seams was evaluated and classified into five categories; very good, good, medium, low and very low. As a case study, the mechanization of the Takht coal seams in Golestan area of Iran was investigated using this new classification system. The results show a low potential for mechanization in most of the Takht coal seams.Mechanizacja prac w kopalniach węgla jest konieczna dla osiągnięcia maksymalnej wydajności produkcji i uzyskania węgla najwyższej jakości. Mechanizacja jest celem, który skutkować będzie znacznym obniżeniem kosztów oraz zwiększeniem poziomu rentowności produkcji w kopalniach podziemnych. Możliwości mechanizacji w kopalniach uzależnione są od szeregu ważnych czynników, takich jak nachylenie i miąższość złoża, obecność zaburzeń struktury geologicznej a także warunki stropowe i spągowe. Czynniki te koniecznie uwzględnić należy w analizach możliwości mechanizacji pracy kopalni. W pracy tej przedstawiono nową klasyfikację opartą o wyżej wymienione czynniki. W oparciu o przyjęte podejście, obliczony został wskaźnik mechanizacji dla złoża węgla i następnie zastosowany został do analiz. Na jego podstawie wyodrębniono pięć kategorii złóż węglowych w kontekście możliwości mechanicznego urabiania: bardzo dobre, dobre, średnie, niskie i bardzo niskie. Jako studium przypadku przedstawiono analizę złoża węglowego Takht w regionie Golestan w Iranie, w oparciu o zaproponowany nowy system klasyfikacji. Wyniki analizy wskazują, że większość złóż w regionie Takht stwarza niewielkie możliwości dla zastosowania mechanizacji