The exploitation of petroleum oil generates a considerable amount "produced water or waste effluent (PWE)" that is contaminated with polycyclic aromatic hydrocarbons (PAHs), including Benzo[a]pyrene (BaP). PWE characterised by its high salinity, which can be as 30% NaCl, thus the biodegradation to remove PAHs necessitates use active halophilic microbes. strain 10SBZ1A was isolated from soils, enrichment experiment in medium containing 10% NaCl (w/v). Homology analyses 16S rRNA sequences...

Contamination of the environment by high-molecular-weight polycyclic aromatic hydrocarbons (HMW-PAH) occurs in hypersaline conditions, mainly produced water derived from petroleum extraction, and biological treatment offers an attractive option to remove these pollutants. This study aimed at isolating characterizing bacteria that biodegrade HMW-PAH pyrene a halophilic environment. Two bacteria, 10PY2B 20PY1A, were isolated enrichment culture 10% 20% NaCl, respectively, presence as sole...

In the anaerobic process, fat-oil-grease (FOG) is hydrolysed to long-chain fatty acids (LCFAs) and glycerol (GLYC), which are then used as substrates produce biogas. The increase in FOG LCFAs inhibits methanogenesis, so far, most work investigating this inhibition has been carried out when or were co-substrates. current work, of methanogenesis by FOG, GLYC was investigated sole substrates. To gain more insight on dynamics change microbial community analysed using 16S rRNA gene amplicon...

Spatial autoregressive models are powerful tools in the analysis of data sets from diverse scientific areas research such as econometrics, plant species richness, cancer mortality rates, image processing, functional Magnetic Resonance Imaging (fMRI) data, and many more. An important class host spatial is error which spatially lagged terms assumed. In this paper, we propose efficient shrinkage penalty estimators for regression coefficients model. We carry out asymptotic well simulation...

Abstract Control charts are mainly carried out in 2 interconnected phases: Phase I (retrospective phase) and II (monitoring phase). uses a stable historical sample to establish control limits that will be used later II. The preciseness of the obtained from can greatly affect performance Monitoring coefficient variation (CV) is an effective approach when process mean or standard deviation not constant. Until now, little work has been dedicated on investigating CV I. Viewed under this...

In this paper, we compared the Exact Bahadur Slope (EBS) and asymptotic relative efficiency of four combination methods for testing a single hypothesis against one-sided alternative in case Pareto distribution when number tests tends to infinity. These combine p-value corresponding test into one overall test. Fisher's, logistic, sum p-values, inverse normal procedures are techniques used our study. To study performance methods, derived EBS expressions limit ratios locally large values shape...

In this paper, we consider the estimation problem of parameter vector in linear regression model with heteroscedastic errors. First, under errors, study performance shrinkage-type estimators and their as compared to theunrestricted restricted least squares estimators. order accommodate structure, generalize an identity which is useful deriving risk function. Thanks established identity, prove that shrinkage dominate unrestricted estimator. Finally, explore high-dimensional estimator classical LASSO

The generalized exponential function in a complex domain is called the Mittag-Leffler (MLF). implementations of MLF are significant diverse areas science. Over past few decades, and its analysis with generalizations have become an increasingly rich research area mathematics allied fields. In geometric theory meromorphic functions, main contribution to this discipline study enrich operator on punctured domains differential inequalities, namely, subordination theory. This effort presents...

Recently, the realm related to Euler's Beta function has played a significant role in development of special theory. In this study, new extension known as with respect Mittag-Leffler-Kummer is introduced. Another formula terms Fox-Wright also presented. Numerous analytical properties function, such several functional and summation relations, Mellin transforms, integral representations, derivative formulas, are studied. Furthermore, statistical implementations distribution discussed.

Recently, spatial regression models have been attracting a great deal of attention in areas ranging from effect traffic congestion on accident rates to the analysis trends gastric cancer mortality. In this paper, we propose efficient estimators for coefficients conditional autoregressive model, when uncertain auxiliary information is available about these coefficients. We provide efficiency comparisons proposed based asymptotic risk and Monte Carlo simulations. apply methods real data Boston...

Spatial regression models have recently received a lot of attention in variety fields to address the spatial autocorrelation effect. One important class is Conditional Autoregressive (CA). Theses been widely used analyze data various areas, as geography, epidemiology, disease surveillance, civilian planning, mapping poorness signals and others. In this article, we propose Liu-type pretest, shrinkage positive shrinkages estimators for large-scale effect parameter vector CA model. The set...

The Autoregressive Conditionally Heteroscedastic (ARCH) model is useful for handling volatilities in economical time series phenomena that ARIMA models are unable to handle. ARCH has been adopted many applications contain data such as financial market prices, options, commodity prices and the oil industry. In this paper, we propose an improved post-selection estimation strategy. We investigated developed some asymptotic properties of suggested strategies compared with a benchmark estimator....

Abstract In this article, we consider the median ranked set sampling estimation and test of hypothesis for mean symmetric distributions. We suggest some alternative strategies parameters based on shrinkage pretest principles. It is advantageous to use non-sample information in process construct estimations parameter interest. large sample properties suggested estimators will be assessed numerically using computer simulation. The relative performance moderate samples also simulated. For...

Spatial regression models are widely available across several disciplines, such as functional magnetic resonance imaging analysis, econometrics, and house price analysis. In nature, sparsity occurs when a limited number of factors strongly impact overall variation. Sparse covariance structures common in spatial models. The error model is significant that focuses on the geographical dependence present terms rather than response variable. This study proposes an effective approach using pretest...

BACKGROUND: The association between ABO blood groups and COVID-19 has been investigated globally, but there is heterogeneity in the results, with a possible trend towards susceptibility of group A. However, such studies are limited our region. This retrospective study aimed to explore potential population. Specifically, we role rhesus types their impact on disease severity. METHODS: We conducted correlation by analyzing data 308 COVID-19-positive patients. distribution population was...

Abstract Objectives To develop and validate an electronic, patient‐reported outcomes measure (PROM) specific for genitourinary syndrome of menopause (GSM) patients. The PROM aimed to accurately assess the burden GSM symptoms, their impact on health‐related sexual quality life, acceptability vaginal treatments. Methods study encompassed a comprehensive three‐stage approach development validation PROM. Initially, during preliminary design stage, necessity new was recognized, expert panel...

Spatial regression models have garnered significant attention across several disciplines, including functional magnetic resonance imaging analysis, econometrics, home price and many other domains. The phenomenon of sparsity is often found in nature, when a limited number factors contribute significantly to the overall variation. frequently use indicate less complex computational more superficial covariance structures. spatial error model that focuses on geographical dependence present terms...

In this paper, we compared the Exact Bahaudr Slope (EBS) and asymptotic relative efficiency of four combination methods for testing asingle hypothesis against a one-sided alternative in case Pareto distribution when number tests tends to infinity. These combinethe p-value corresponding test into one overall test. Fisher's, logistic, sum p-values, inverse normal procedures are techniquesused our study. To study performance methods, derived EBS expressions limit ratios locally large values...