One- and Two-Sample Predictions Based on Progressively Type-II Censored Carbon Fibres Data Utilizing a Probability Model.

New Weibull-Pareto distribution is a significant and practical continuous lifetime distribution, which plays an important role in reliability engineering and analysis of some physical properties of chemical compounds such as polymers and carbon fibres. In this paper, we construct the predictive interval of unobserved units in the same sample (one sample prediction) and the future sample based on the current sample (two-sample prediction). The used samples are generated from new Weibull-Pareto distribution due to a progressive type-II censoring scheme. Bayesian and maximum likelihood approaches are implemented to the prediction problems. In the Bayesian approach, it is not easy to simplify the predictive posterior density function in a closed form, so we use the generated Markov chain Monte Carlo samples from the Metropolis-Hastings technique with Gibbs sampling. Moreover, the predictive interval of future upper-order statistics is reported. Finally, to demonstrate the proposed methodology, both simulated data and real-life data of carbon fibres examples are considered to show the applicabilities of the proposed methods.

Asymmetric Power Hazard Distribution for COVID-19 Mortality Rate under Adaptive Type-II Progressive Censoring: Theory and Inferences.

This article investigates the estimation of the parameters for power hazard function distribution and some lifetime indices such as reliability function, hazard rate function, and coefficient of variation based on adaptive Type-II progressive censoring. From the perspective of frequentism, we derive the point estimations through the method of maximum likelihood estimation. Besides, delta method is implemented to construct the variances of the reliability characteristics. Markov chain Monte Carlo techniques are proposed to construct the Bayes estimates. To this end, the results of the Bayes estimates are obtained under squared error and linear exponential loss functions. Also, the corresponding credible intervals are constructed. A simulation study is utilized to assay the performance of the proposed methods. Finally, a real data set of COVID-19 mortality rate is analyzed to validate the introduced inference methods.

Cuff Leak Test and Airway Obstruction in Mechanically Ventilated Intensive Care Unit Patients: A Pilot Randomized Controlled Clinical Trial.

Rationale: Laryngeal edema is a known complication of endotracheal intubation that may cause airway obstruction upon extubation. The only test available to predict this complication is the cuff leak test (CLT). Objectives: Given the uncertainty of the CLT's clinical utility, we conducted the COMIC (Cuff Leak Test and Airway Obstruction in Mechanically Ventilated ICU Patients) pilot study to examine the feasibility of undertaking a larger trial. Methods: COMIC is a multicentered, parallel-group randomized trial performed in Canada, Saudi Arabia, and Poland. We enrolled mechanically ventilated adults admitted to the intensive care unit who were deemed ready for extubation. Those allocated to the intervention arm had the results of their CLT communicated to the healthcare team, who then decided to proceed with extubation or not. In those randomized to the control arm, the CLT results were not communicated to the healthcare team and patients were extubated, regardless of the CLT result. The primary outcomes focused on feasibility. Results: One hundred patients (56 in the intervention and 44 in the control arm) were enrolled. All feasibility criteria were met, including 1) recruitment rate of 7.6 patients/month, 2) consent rate of 88.3% (95% confidence interval [CI], 82.1-94.5%), and 3) protocol adherence of 98% (95% CI, 95-100%). There were two episodes of clinically significant stridor in the intervention group and four patients who required reintubation in each group. Conclusions: The results of the COMIC pilot trial support the feasibility of a larger trial to determine the effect of the CLT on reintubation and clinically important stridor.Clinical trial registered with www.clinicaltrials.gov (NCT03372707).

A bibliometric analysis of the top 100 most-cited articles in the Journal of Oral Pathology & Medicine (1972-2020).

OBJECTIVE: The steady and continued increase of the Journal of Oral Pathology & Medicine's (JOPM) popularity prompted a bibliometric analysis of the journal. The purpose was to assess the significance and effect of the published research articles in the Journal from 1972 and 2020, aiding the identification of landmark articles. We performed a bibliometric analysis using the top 100 cited papers in the Journal of Oral Pathology & Medicine. MATERIALS AND METHODS: An extensive review of the Web of Science was undertaken. Standard information such as author details, affiliated institutions, publication year and the country of origin was recorded. RESULTS: The top 100 cited articles in JOPM were assessed. The maximum and minimum number of citations in the top 100 articles was 1459 and 95, respectively. A total of 16 790 citations were recorded for these 100 articles. Authors were affiliated to 28 different countries, 17 research articles from the UK and 12 from the USA. Other countries furnished seven or fewer articles. CONCLUSION: This bibliometric analysis provides a synopsis of research published in the journal over a 48-year period. Recent interest in the journal shows a healthy increase in submissions and profile.

A bibliometric analysis of the 100 most cited articles on early childhood caries.

BACKGROUND: Bibliometric analysis aids to quantify the research prolificacy. The citation count acquired by a scientific article is one of the measures of its influence within a field. AIM: To employ bibliometrics to offer a quantitative-qualitative analysis of publications on early childhood caries (ECC) published between 1950 and 2019. DESIGN: Two researchers independently read all the titles and abstracts of articles retrieved from Scopus database on 16 October 2019. The articles were categorized according to citation and study characteristics. Collaboration network amongst authors, countries, and keywords were generated using VOSviewer software. RESULTS: Amongst a total of 10 578 articles published on ECC, 100 most cited articles were sorted. The top-cited articles appeared in 34 journals, with Community Dentistry and Oral Epidemiology journal (n = 18) contributing maximum number of articles. The papers originated from 25 countries, with the United States (n = 54) accounting for largest number. Amid the papers with high levels of evidence, 11 were systematic reviews and 8 were randomized clinical trials. The topic most commonly addressed was aetiology/associated factors (63%). Amongst a total of 990 keywords, 'dental caries' appeared 89 times. CONCLUSION: The findings of this paper will help researchers, academicians, and students for appropriate article referrals for evidence-based clinical decision-making.