Familial lecithin-cholesterol acyltransferase (LCAT) deficiency is a rare autosomal\nrecessive disease caused by a mutation involving LCAT, with a prevalence below\n1:1,000,000. LCAT mutation leads to abnormal lipid metabolism and relevant clinical\nsymptoms, especially renal insufficency. Here, we report a case of a 31-year-old\nwoman with LCAT deficiency, presenting with nephrotic syndrome, corneal\nopacification, dyslipidemia, and anemia. Renal biopsy revealed a large amount of\nlipid deposition in the endothelial basement membrane. Genetic analysis disclosed a\nnovel splicing mutation, c.311+3A>C, which could be pathogenic. We also\nperformed a literature review, focusing on renal pathology, genetic features, and\nclinical symptoms of patients with LCAT deficiency, to illustrate the importance of\nour case with regard to early diagnosis and appropriate treatment.

With the technology of clutter excitation developing up, adaptive processing algorithms have become critical in high performance radar systems. Target echoes can be obscured and false alarms can be occurred in the presence of such type of interference. This clutter can be mitigated by appropriate strategy of adaptive processors, in which the false alarm rate holds approximately constant (CFAR) by providing a detection threshold of definite value above clutter. An echo power target return can be detected if it exceeds such threshold. Therefore, the CFAR mechanism becomes an indispensable technique for fluctuating target detection; especially in heterogeneous background environments. There are many algorithms to achieve such indigence property. However, difficulties in finding a single CFAR procedure to deal with diverse noise environments are the prime thrust for developing a new structure based on composite architecture. In this regard, fusion of CA, OS and TM schemes within fusion adaptive detectors results in higher detection performance. This paper is devoted to the analysis of this new model in the case where the radar receiver is provided by a post-detection integrator of M-pulses. The tested as well as the spurious targets are assumed to follow χ2-distribution with two-degrees of freedom in their fluctuation. Closed-form expression is derived for the detection performance. Our simulation results illustrate significant advantage of the new model in both homogeneous and multi-target performances. In ideal situation, its performance outweighs that of the classical Neyman-Pearson (N-P) detector which is commonly regarded as the reference model for comparing new implementations in the CFAR world.

Current neurological research has proved the existence of functional correlation in brain’s construction during mental imagery use in order to imagine task execution. The evidence obtained from some empirical studies showed motor performance increasing through night of sleep. Yet little information is available about it’s impact than mental imagery. Detecting the effects of pre-sleep on motor performance by considering factors such as physical, environmental, task, timing, learning, emotion and perspective factors is this research’s purpose .after completing MIQ-R questionnaire by thirty boys aged 16 to 18 years old and following the pretest that accidentally placed into one group of (among) three groups. ( the first group, group A): Consolidated Pettlep mental imagery group ( N=10). (The second group , group B) : preliminary MI group (N=10) and ( the third group , group C): physical exercise only group (N=10) post testing related to all topics was administrated between 8-11 am. A noticeable difference about enhancement between pre-test and post-test of consolidated Pettlep MI group shown as a result of this research, but there wasn’t any noticeable difference in enhancement between pre-test and post-test of preliminary Pettlep MI and Physical practice group. So impacts that are related to sleep are effective after MI. Such discoveries signalize the MI’s reliability in process of learning.

This paper examines cost efficiency of maize production in Zambia by analyzing the cost of inputs and socioeconomic factors that effects farmer�s efficiency. We use the 2019 household survey data, conducted in two provinces of Zambia, that is, Southern and Northern Province. The study applies stochastic frontier approach centered on the Cobb-Douglas cost function. The results indicate that the cost coefficient of all the inputs and outputs were positive and significant, signifying that the cost function monotonically increases with the prices of inputs. Thus, a 1% increase in the cost of seed, fertilizer, chemicals and irrigation will increase the total cost of production by 0.573%, 0.698%, 0.128%, and 0.311% respectively. Similarly, a 1% increase in the cost of labor, harvesting and transportation will correspondingly increase the overall cost of production by 0.218%,0.255% and 0.014%. The cost efficiency scores span from 1.1 to 4.0 for all sampled farmers. The mean cost efficiency score is found to be at 1.3 which entails that on average farmers incurred approximately about 25% cost above the stipulated cost frontier line. This implies that 25% incurred cost was wasted in comparison to the adoption of best farming methods with the same level of technology. However, our findings attest that the majority of farmers operated within or close to the cost frontier line which demonstrates that most farmers are cost efficient in their production.

Dams are one of the most important hydraulic structures. In view of unrecoverable damages occurring after a dam failure, analyzing dams’ break is necessary. In this study, a dam located in Asia is considered. According to adjacent tourist and entertainment zones, breaking the dam might lead to severe problems for the area and bridges in downstream of the river. To investigate the issue, a numerical FORTRAN code based on the finite volume Roe-TVD method is provided to assess the effects of the dam break. A numerical wave tank (NWT) with a triangular barrier in the bed was numerically modeled and compared with analytical models to verify the capability of the code. Comparing numerical, experimental and analytical results showed that estimated water level and mass conservation in the numerical model is in a good agreement with the experimental data and analytical solutions. The results of the modeling denoted that bridges B1 and B2 located downstream of the dam will be flooded after 12 and 21 minutes respectively and are at the risk of the potential break. Thus, it is necessary to announce and possibly evacuate the resort area alongside the dam in order to decrease losses.

Rapid and uncontrolled expansion of surface area of cities, increase in traffic, industrial enterprises and low quality fuels as well as urban morphological parameters and climatic conditions are considered as the factors affecting air pollution in urban areas. In order to evaluate concentration trends of seven air pollutants consisting PM2.5 ,PM10,CO, SO2, NO, NO2 and NOx, as independent variables depending to meteorological parameters , land use type, industrial development and public vehicle, periodical measured data in the megacity of Isfahan-Iran, were analyzed using correlation and simple regression methods. Results of the conducted study show reduction in the mean annual concentration of PM (both PM2.5 and PM10), NO and CO and increase in mean annual concentration of SO2, NO2 and NOX. Moreover, Pearson correlation analyses as well as developed regression models show that there are significant negative and positive correlation between some of the studied independent and dependent variables. It was found out that meteorological parameters, urban land use and vehicle might have effective role in trend of air pollution condition in the study area as an example for the metropolises in the Iran. But it should be noted that the correlation between air quality indicators as independent and the studied dependent variables in urban areas is complex. Furthermore, it is not easy to determine which particular factor or parameter are the most important in air pollution scenario within an urban context. Thus more detailed research studies are still need to be conducted.