Two hydro-geo-electrical sections were built for simulating the resistivity values and their connotations, and managing in choosing the promised locations for drilling wells. The ramp-off time effect was studied and found that ∼50-∼100m shallow high resistive thickness didn't defined from the TEM data in which the max penetration depth was 672m. The available well logging data were analysed to reveal the pure saturated zones, the volume of shale of 0%-100% and the porosity values of ∼9%-∼35% in the Oligocene aquifer and of ∼4%-∼15.5% in the carbonate aquifer. So, the forward and inverse models application and soundings integration are considered robust tools for estimating and simulating the aquifer characteristics.In this paper we proposed three estimators namely linear shrinkage, preliminary test and shrinkage preliminary test for the rate parameter of univariate gamma. The salient feature of the proposed estimators is the admissibility property that is defined on belief of the uncertain prior information. Expressions for bias and relative efficiency under method of moment have been derived using asymptotic theory. A Monte Carlo simulation study shows that the proposed estimators are more efficient and minimally biased when prior information is close to the neighbourhood of the rate parameter.The objective of this study was to determine if religiousness and spirituality predict life satisfaction among Peruvian citizens during the COVID-19 pandemic. This is a non-experimental, predictive and cross-sectional study with a sample of 734 people of both sexes (39.5% males and 60.5% females) between 17-75 years of age (M = 32.05). To measure the variables, the Brief Multidimensional Measure of Religiousness/Spirituality (BMMRS) and the Satisfaction with Life Scale (SWLS) were used. A multiple regression analysis was performed to determine the variables that best predict life satisfaction, finding that the spirituality variable explains 10.7 % of the total variance of the life satisfaction variable. In summary, a positive and significant correlation between spirituality and life satisfaction is identified (r = .328, p less then .01).We explored the clinical relevance of resilient, overcontrolled and undercontrolled personality types based upon DSM-5 maladaptive personality traits. We examined if these prototypes could be differentiated in terms of personality functioning, and internalizing and externalizing pathology. Self-report questionnaires and structured interviews were administered to 192 adult patients referred to a mental health care center specialized in assessment and treatment of personality disorders. Through cluster analysis we identified a resilient type with no elevation on maladaptive trait domains and showing better personality functioning and less pathology than the overcontrolled and undercontrolled types. Furthermore, the overcontrolled type had elevated Negative Affectivity and a higher prevalence of mood disorders, whereas the undercontrolled type had elevations on all maladaptive traits, with the exception of Disinhibition, and higher rates of narcissistic and borderline personality disorders. Given the differences in psychopathology between the types, identifying these types may inform treatment focus. Also, in line with a stepped care model, compared to overcontrollers, resilient types may need less intensive treatment and undercontrollers may need more intensive treatment.Developing beans for high canning and cooking quality has been a major concern of plant breeders as the demand of consumers for beans in terms of quality is increasing. This study determined the effect of genotype-by-environment (GEI) on canning and cooking quality of common beans. Twenty three newly developed large-seeded bean genotypes and two standard checks collected from five growing sites of Ethiopia were tested using randomized completed block design with three replicates. Additive main effect and multiplicative Interaction (AMMI) and genotype plus genotype-by-environment interaction (GGE) biplot models were used in the data analysis. Genotypes were genetically different (P ≤ 0.01) for all of the quality traits varied from 42.3 to 57.4 minutes for cooking time and 260.4-278.6g for washed drained weight. Percent washed drained weight of all the tested genotypes was >60%, as required by processors. https://www.selleckchem.com/products/imidazole-ketone-erastin.html However, hydration coefficient (HC) was below the desired optimum level of 1.8, which could be improved through prolonged soaking period. From moderate to no clumping, and from moderately clear to clear brine were observed for canned beans. Generally, the newly developed genotypes had better canning and cooking quality except for HC. However, GEI exerted considerable effect on the quality traits especially cooking time. The interaction effect (34.25%) shared nearly three times greater effect than genotype (13.31%) and environment (11.44%); hence highly determined the cooking time. Both AMMI2 and GGE polygon view biplots captured 69.05 and 74.10% of the GEI variation, respectively, using the first and the second principal component axes (PCAs). In conclusion, plant breeders should think of GEI when testing beans for canning and cooking quality at substantial environments.Items delivery companies generally use a model to minimize delivery costs. From a mathematical perspective, the model is an objective function that involves constraints. Meanwhile, from a practical point of view, these constraints include aspects that affect item delivery, for example, delivery zones, number of delivery vehicles, vehicle capacity, trip routes, etc. However, the models built so far have not paid attention to changes in road density. This aspect can result in a nonoptimal delivery model, which results in not a minimum delivery cost. For this reason, this paper discusses how to divide zones using the clustering method and predict changes in the shipping zone of a dynamic network using predictive distribution. So, the model can work optimally if the delivery zones and delivery strategies are suitable.River sediments have the effect of aggregating geochemical environmental information, such as that related to geological and artificial pollution resulting from mine closure. This information comprises high-dimensional data and is related to the distribution and quantities of elements in river sediments. However, accessing and interpreting this geochemical information can be difficult. This study employed a data-driven analysis that can be mathematically and statistically reduced in dimension. Using high-dimensional geochemical and environmental information on river sediments, this study evaluated the environmental impact of closed mines. Sample for analysis were collected from three rivers. There are differences in the existence of mines and mine wastewater treatment methods in this river. A total of 33 elements were measured in river sediments. Frequency distribution analysis and Principal component analysis revealed that the elements had unique distribution and frequency characteristics in each river catchment.