BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...

Overview: EDA techniques can help you translate your data into useful and actionable insights.Discover how top analysts uncover patterns, eliminate errors, and ...

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...

Objective The aim of this study was to evaluate juxta-apical radiolucency (JAR) prevalence and its relationship with adjacent structures using cone-beam computed tomography (CBCT). Material and method ...

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Background Despite the widespread use of heparin during and following endovascular procedures in the management of aneurysmal subarachnoid hemorrhage (SAH) patients, limited research has explored the ...

Objectives To map the landscape of decentralised clinical trials (DCTs) by summarising characteristics, methods and reported challenges of published DCTs. Design Scoping review, reported according to ...

ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

Background Neurointerventional procedures rely on a variety of angiographic devices and disposables. Despite the increasing frequency of these procedures, systematic data on the scale and nature of ...