The international scientific conference Bratislava Legal Forum 2024 took place from 17 to 19 September 2024, traditionally iphone 14 price winnipeg held at the Faculty of Law of Comenius University Bratislava.The 10th anniversary edition was opened on Tuesday, 17 September 2024, with the plenary session of the conference with the central theme: "Th
Street art in Urbe. Arte urbana nelle periferie romane=Street art in Urbe. Urban art in the suburbs or Rome
Street art in Urbe.Urban art in the suburbs or Rome.Rome in the past was the undisputed cradle of the arts, iphone 14 price winnipeg the imperative destination of the eighteenth-century grand tourists for its constant combination of old and new, humble and magnificent.Recently, Rome is playing once again that key role in the 21st century world.The
Turnover of professional nurses at Mokopane Hospital in the Limpopo Province, South Africa: Experiences of nursing unit managers
Background: Staff turnover of professional nurses remains a concern for public and shiro neon zero private hospitals management because it has an impact on the morale of nurses and it may also lead to poor patient care.Objectives: The objectives of this study were to explore and describe the experiences of nursing unit managers with regard to the t
Multi-IMU Based Alternate Navigation Frameworks: Performance & Comparison for UAS
On-board state estimation is a persistent challenge to fielding unmanned aerial systems (UAS), particularly when global positioning system (GPS) measurements are not available.The dominant estimation tool remains the extended Kalman filter (EKF) applied to an civil air patrol emergency services patch inertial measurement unit (IMU).The growing avai
Extraction Methods for Small-Scale Features on a Large Scale: Investigating Object-Oriented Cart Decision Tree for Gravel Information Extraction
This study employs the object-oriented Cart (Classification and Regression Trees) decision tree methodology to delineate contiguous gravel areas within Zamu town.The primary objective is to devise a technique capable of efficiently identifying small-scale features on a macroscopic scale.Given the pervasive and uninterrupted distribution of backgrou