Abstract COVID‐19 has impacted the world in many ways, including loss of lives, economic downturn and social isolation. was emerged due to SARS‐CoV‐2 that is highly infectious pandemic. Every country tried control spread by imposing different types lockdowns. Therefore, there an urgent need forecast daily confirmed infected cases deaths lockdown select most appropriate strategies intensity this pandemic reduce burden hospitals. Currently are imposed three (partial, herd, complete) countries....

Early detection of post-traumatic stress disorder (PTSD) is essential for proper treatment the patients to recover from this disorder. The aligned purpose study was investigate performance deviations in regions interest (ROI) PTSD than healthy brain regions, assess interregional functional connectivity and applications machine learning techniques identify control using resting-state magnetic resonance imaging (rs-fMRI). rs-fMRI data 10 ROI extracted 14 approved subjects controls. selected...

Double-bounded data appears in many applications related to engineering, economics, hydrology, social and behavioral sciences. To model the double-bounded Power function distribution is an obvious choice. enhance its applicability, we proposed transmuted this study. The new relatively more flexible performs better reliability meteorological analysis than parent distribution. Its various mathematical properties are derived such as mean, mode, median, variance, quantile function, hazard...

Purpose: The primary aim of the study is to identify existence post-traumatic stress disorder (PTSD) in an individual and detect dominance level each affected brain region PTSD using rs-fMRI data. This will assist psychiatrists neurologists distinguish impartially between individuals healthy controls for brain-based treatment PTSD. Methods: Twenty-eight (14 with PTSD, 14 controls) were assessed obtain data their six regions-of-interest. analyzed by Artificial Neural Network (ANN), adopting...

One of the most prominent statistical distributions is Weibull distribution. The recent modifications in this distribution have enhanced its application but only specific fields. To introduce a more generalized distribution, work beta exponentiated modified established. This consolidate exponential, skewed and symmetric shapes into one density. proposed also contains nineteen lifetime as special case, which shows flexibility properties model are derived discussed, including reliability...

In this article, we introduce an extended Dagum distribution, named as transmuted distribution which can be used for income actuarial, survival and reliability analysis. The main motivation generalizing the standard is to provide more flexible model a variety of data. has been expressed using quadratic rank transmutation map its tractable properties like moments, moment generating, quantile, hazard functions are derived. provides broader range behavior than model. densities order statistics,...

Objective: To understand the most prominent factors contributing to job burnout in nursing profession.
 Methods: Mixed method design was used this study. In qualitative part of study, a focus group discussion approach determine major nurses’ burnout. The quantitative conducted by using questionnaire based on theme generated along with other demographic information. data collected from 93 nurses 90.3% response rate.
 Results: proposed logistic regression model able correctly...

The present study is aimed at identifying the most prominent determinants of OCD along with their strength to classify patients from healthy controls. data for this cross-sectional were collected 200 diagnosed and 400 respondents selected through purposive sampling interviewed by using Y-BOCS scale addition a factor, worth an individual in his family. validity reliability assessed Cronbach’s alpha confirmatory factor analysis. Artificial Neural Network (ANN) modeling was adopted determine...

Wind is one of the most essential sources clean, environmental friendly, socially constructive, economically beneficial, and renewable energy. To intuit potential this energy in a region accurate wind speed modeling forecasting are crucially important, even for planning, conversion to electricity, trading, reducing instability. However, prediction difficult due intermittency intrinsic complexity data. This study aims suggest more appropriate model Jhimpir, Gharo, Talhar, regions Sindh,...

English language as Medium of Instruction (MOI) plays the central role in students' learning at university level.Therefore, how well students would fare academic achievement depends largely on their abilities.This study explores much are comfortable about language, and relevant associated problems constraints faced by them.For this retrospective study, a self made questionnaire was used to collect data from 300 using stratified random sampling with proportional allocation.To confirm chosen...

Singh Maddala Distribution is a flexible distribution and mostly used for modeling the income, wage, expenditure wealth of country. To model density income distribution, we have derived L-moments TL-moments SMD in closed form. These moments are to estimate scale parameter which related inequality distribution. This study shows that better alternatives against conventional estimators these equally applicable both small large sample size. Through Monte Carlo simulation study, find provide...

The Birnbaum–Saunders distribution is a flexible and useful model which has been used in several fields. In this paper, new bimodal version of based on the alpha-skew-normal established. We discuss some its mathematical inferential properties. consider likelihood-based methods to estimate parameters. carry out Monte Carlo simulation study evaluate performance maximum likelihood estimators. For illustrative purposes, three real data sets are analyzed. results indicated that proposed...

Many countries developed and increased greenery in their country sights to attract international tourists. This planning is now significantly contributing economy. The next task facilitate the tourists by sufficient arrangements providing a green clean environment; it only possible if an upcoming number of tourists' arrivals are accurately predicted. But accurate prediction not easy as empirical evidence shows that arrival data often contains linear, nonlinear, seasonal patterns. traditional...

In this study, transmuted two parameters Rayleigh distribution is proposed using quadratic rank transmutation map. This more flexible and versatile than distribution. Some properties of the are derived such as moments, moment generating function, mean, variance, median, quantile reliability, hazard function. The parameter estimation approached through method least square estimation. th joint order statistics also for application model illustrated compared real data.

The Singh-Maddala distribution is very popular to analyze the data on income, expenditure, actuarial, environmental, and reliability related studies. To enhance its scope application, we propose four parameters transmutedSingh-Maddala distribution, in this study. proposed relatively more flexible than parent model a variety of sets. Its basic statistical properties, function, behaviors hazard function are derived. showed decreasing an upside-down bathtub shape that required various survival...

Today, English is renowned as the dominating language in world and medium of instruction, it plays central role students’ learning academic performance at university level. This paper presents a retrospective study aiming to empirically test theoretical Academic Achievement model for perceived impact instruction. Itexplores effect instruction on performance. For this study, self-made questionnaire was used collect data from 300 students by using stratified random sampling with proportional...