Sex prediction according to digital analysis of the morphological characteristics of maxillary posterior teeth in a Pakistani population.

Objective: Researchers have examined several dental characteristics to identify differences in tooth morphology between males and females in various populations. Nevertheless, no research has been undertaken to ascertain sexual dimorphism and develop a sex prediction model by using the groove pattern, cusp number and occlusal pattern in any population group. Therefore, this study accessed the sexual differences and the ability to predict sex according to these characteristics of maxillary teeth in the Pakistani community.

An improved class of estimators for estimation of population distribution functions under stratified random sampling.

The main objective of the current study is to suggest an enhanced family of log ratio-exponential type estimators for population distribution function (DF) using auxiliary information under stratified random sampling. Putting different choices in our suggested generalized class of estimators, we found some Specific estimators. The bias and MSE expressions of the estimators have been approximated up to the first order.

Recurrent peri-myocarditis: A rarer but unfortunate redundant presentation of thyroid storm.

Thyroid storm represents a critical and life-threatening complication from hyperthyroidism, with a notable mortality risk. Limited literature reports have explored the correlation between thyroid storm and peri-myocarditis, although the precise pathophysiological underpinnings remain unclear. The pathophysiology of how thyroid storm and peri-myocarditis are associated is not clearly understood; however, unfavorable prognostic factors include atrial fibrillation and recurrent thyrotoxicosis.

New generalized class of estimators for estimation of finite population mean based on probability proportional to size sampling using two auxiliary variables: A simulation study.

This article aims to suggest a new generalized class of estimators based on probability proportional to size sampling using two auxiliary variables. The numerical expressions for the bias and mean squared error (MSE) are derived up to the first order of approximation. Four actual data sets are used to examine the performances of a new improved generalized class of estimators.

A simulation study: An enhanced generalized class of estimators for estimation of population proportion using twofold auxiliary attribute.

The article introduces a novel class of estimators designed for estimating finite population proportions. These estimators utilize dual auxiliary attributes and are applicable under simple random sampling. The proposed class of estimators includes various members with distinct characteristics.

Improved family of estimators for the population mean using supplementary variables under PPS sampling.

In this article, we suggest an enhanced family of estimators for estimation of population mean employing the supplementary variables under probability proportional to size sampling. Up to the first order of approximation, numerical formulations of the bias and mean square error of estimators are obtained. From our suggested improved family of estimators, we give sixteen different members.

A new improved generalized class of estimators for population distribution function using auxiliary variable under simple random sampling.

This article aims to suggest a new improved generalized class of estimators for finite population distribution function of the study and the auxiliary variables as well as mean of the usual auxiliary variable under simple random sampling. The numerical expressions for the bias and mean squared error (MSE) are derived up to first degree of approximation. From our generalized class of estimators, we obtained two improved estimators.

A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling.

In this article, we proposed an improved finite population variance estimator based on simple random sampling using dual auxiliary information. Mathematical expressions of the proposed and existing estimators are obtained up to the first order of approximation. Two real data sets are used to examine the performances of a new improved proposed estimator.

A generalized class of estimators for sensitive variable in the presence of measurement error and non-response.

In this paper, a general class of estimators is proposed for estimating the finite population mean for sensitive variable, in the presence of measurement error and non-response in simple random sampling. Expressions for bias and mean square error up to first order of approximation, are derived. Impact of measurement errors is examined using real data sets, including the survey conducted at Quaid-i-Azam University, Islamabad.

Is COVID-19 Immune to Misinformation? A Brief Overview.

During the current COVID-19 pandemic, misinformation is a major challenge, raising several social and psychological concerns. This article highlights the prevailing misinformation as an outbreak containing hoaxes, myths, and rumours. In comparison to traditional media, online media platforms facilitate misinformation even more widely.

Steal and strain: A case of coronary artery fistula presenting with coronary steal syndrome and underlying bronchiectasis.

Background: Coronary artery fistula is a relatively rare disorder with an incidence rate of 0.05-0.9%, and the majority of fistulae are detected incidentally.

An Unusual Case of Bilateral Hemorrhagic Chemosis in the Intensive Care Unit.

Critically ill patients cannot complain about eye problems. Eyecare is often overlooked in the intensive care units (ICUs) because treatment is mainly focused on failures of organ which results in eye complications which are preventable. Therefore, we report a case of a patient admitted to the ICU who developed unusual bilateral hemorrhagic chemosis.

Cavitary Pulmonary Infarction in a Case of Pulmonary Embolism After Successful Vascular Recanalization.

Cavity formation after pulmonary embolism can be a result of infarction; however, the data available on the incidence rate were obtained from the cases of patients treated with anticoagulation without recanalization. It is yet unknown if interventions like catheter-directed alteplase or thrombectomy reduce the risk of cavity formation. We present an interesting case of a patient who developed pulmonary cavity and possible secondary infection after successful vascular recanalization with catheter-directed alteplase and thrombectomy.

Cardiac Arrest Due to Benzonatate Overdose.

BACKGROUND Benzonatate is one of the most widely prescribed nonnarcotic antitussives to relieve cough symptoms. As a structurally similar agent to other local anesthetics, including tetracaine and procaine, the risk to the public is not fully appreciated. CASE REPORT A 37-year-old female presented to the Emergency Department (ED) status post cardiac arrest.

Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors.

In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study.

Estimation of population mean in the presence of measurement error and non response under stratified random sampling.

In the present paper we propose an improved class of estimators in the presence of measurement error and non-response under stratified random sampling for estimating the finite population mean. The theoretical and numerical studies reveal that the proposed class of estimators performs better than other existing estimators.

Spatial Prediction and Optimized Sampling Design for Sodium Concentration in Groundwater.

Sodium is an integral part of water, and its excessive amount in drinking water causes high blood pressure and hypertension. In the present paper, spatial distribution of sodium concentration in drinking water is modeled and optimized sampling designs for selecting sampling locations is calculated for three divisions in Punjab, Pakistan. Universal kriging and Bayesian universal kriging are used to predict the sodium concentrations.