HypothalamicPituitaryAdrenal Task in Unfavorable Activities Confirming right after Placebo Supervision

Phyllanthus amarus has been exploited for the management of several aliments in folkloric medicine. The present study therefore investigates the restorative potential of its leaves extract on hepatic and renal assault induced by CCl4 and rifampicin respectively. Eight groups (I-VIII) containing five animals each were created for the experiments. Group I were fed with normal commercial pellet only, while group II were exposed to single intraperitoneal injection of 3 ml/kg b.w. of CCl4 only. Groups III, IV and V animals were administered 3 ml/kg b/w of CCl4 and treated with 50, 100 mg/kg b. w. of P. amarus and 100 mg/kg b.w of silymarin respectively. Group VI animals were orally exposed to 250 mg/kg b/w of rifampicin only while groups VII and VIII were treated with 50 and 100 mg/kg b. w. P. amarus respectively for 14 days after the initial exposure to 250 mg/kg b/w rifampicin . Liver and kidney function tests such as alanine amino transferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), ther, P. amarus is a potential medicinal plant with similar potency to conventional drugs currently in use for the treatment liver and kidney diseases. Hence, it is a viable therapeutic alternative that can be exploited for the treatment of renal and hepatic diseases.The key components of photovoltaic (PV) systems are PV modules representing basic devices, which are able to operate durably in outdoor conditions. PV modules can be manufactured using different materials by different fabrication technologies. The main criteria supporting or limiting a successful placement of particular technologies on the market is the cost of electricity produced by PV systems. The Levelized Cost of Energy (LCOE) method takes into account the investment cost, the operating costs, and the total energy produced during the system service life. The influence of price, efficiency and service life of PV modules on LCOE (together with the availability of materials) sets limits for applicable technologies. see more Over the past 15 years a categorisation of generations of PV cell and module technology groups has been frequently used. The main features of individual technology groups are discussed from the view of the above criteria. Currently, PV modules are required to have efficiency higher than 14%, price below 0.4 USD/Wp and service life of more than 15 years. At present, the wafer-based crystalline silicon technologies have best met the criteria due to their high efficiency, low cost and long service time; and due to the abundance of materials, they are set to lead in future PV power generation.
Previous studies of the consequences of unilateral hearing loss (UHL) on the functional-structural organization of the brain has included subjects with various degrees of UHL. We suggest that the consequences of a total loss of hearing in one ear might differ from those seen in subjects with residual hearing in the affected ear. Thus, the main aim of the present study was to compare the structural properties of auditory and non-auditory brain regions in persons with complete UHL to those of normal hearing controls. We hypothesize that the consequences of complete UHL following treatment for vestibular schwannoma will differ between ipsi- and contralateral structures, as well as between right- and left side deafness.
A 3T Siemens Prisma MR-scanner was used. Anatomical images were acquired using a high-resolution T1-weighted sequence. Grey- and white matter volumes were assessed using voxel-based morphometry.
Twenty-two patients with left- or right-side unilateral hearing loss. Fifty normal hearing controdings of reduced grey- and white matter volumes in auditory and non-auditory brain regions could be related to problems with speech perception in adverse listening conditions, increased listening effort and reduced quality of life reported by persons with unilateral hearing loss despite normal hearing in the unaffected ear.The article presents the study of the geospace mental representations and their variability depending on the regional point of view. The research material comprises about 500 naive maps of Russia, created by informants of seven Russian regions Moscow, St. Petersburg (capitals), Siberia (Barnaul, Biysk), Southern, Mid- and Northern Ural (Orenburg, Ufa, Perm) and Kaliningrad. A geoconcept, as a set of collective ideas about a geographic object, synthesizes images of a geographic location (topos), its name (toponym), ideas about it and its spatial parameters (length, coordinates, location relative to other geolocations). The paper raises the problem of the topology of the mental space, and describes the method and results of constructing computable metric models of geomental spaces. The use of modern means of processing and analyzing naive maps allowed to detect spatial dependencies between geoconcepts, their probable localization zones, and position relative to each other on the geomental map space. Modeling of geoconcepts was carried out on the example of the analysis of the collective regional representations associated with the capital (Moscow). Noticeable differences were found in the regional geoconcepts of Moscow, which makes it relevant to conduct research on the regional variability of the geoconcept systems of the country's common space.The World Health Organization recommends the utilization of partograph for all laboring mothers. Partograph is a cost-effective, single sheet of paper that is used to follow maternal and fetal condition and progress of labour. Obstructed and prolonged labours are major causes of maternal deaths. These causes can be minimized by routine utilization of partograph. However, several maternal and fetal deaths occur in health facilities due to poor quality of labour follow-up. Therefore, this study aims to assess the utilization of partograph and associated factors among obstetric care providers working in Wolaita zone health facilities, Southern Ethiopia. An institution-based cross-sectional survey was conducted from April to May 2016. A pretested and structured self-administered questionnaire was used to collect the data. Data entry and analysis was conducted using SPSS Version 21.0. Logistic regression was used to identify associations. A P value less then 0.2 in binary logistic regression were transferred to multiple logistic regressions.