Religiosity and Health Outcomes in a Cohort of Romanian Patients Hospitalized for COVID-19.

There is a growing body of evidence for the interrelation between health status and religious beliefs. Our aim was to evaluate the level of religiosity in patients hospitalized for COVID-19 and to assess the link between religiosity and measurable health outcomes. This was an observational, single-center study which included patients with moderate-to-severe forms of COVID-19.

Model-Predictive Control for Omnidirectional Mobile Robots in Logistic Environments Based on Object Detection Using CNNs.

Object detection is an essential component of autonomous mobile robotic systems, enabling robots to understand and interact with the environment. Object detection and recognition have made significant progress using convolutional neural networks (CNNs). Widely used in autonomous mobile robot applications, CNNs can quickly identify complicated image patterns, such as objects in a logistic environment.

Quality of Life and the Digital Service Landscape: The Moderating Role of Customer Complaining Effort.

The last decade, and more specifically the COVID-19 pandemic, has created a favorable environment for digitalization, which has become a necessary condition in the context of how everyday life is conducted. Even if digital communication and services have become a trend and help brand-customer relationships, brands still have more gaps to close. The purpose of this study was to investigate how consumers' behaviors and digital interactions impact their shopping well-being and quality of life, and how the level of customer complaining effort affects the relationship between digital behavior and quality of life.

Kinematics Calibration and Validation Approach Using Indoor Positioning System for an Omnidirectional Mobile Robot.

Monitoring and tracking issues related to autonomous mobile robots are currently intensively debated in order to ensure a more fluent functionality in supply chain management. The interest arises from both theoretical and practical concerns about providing accurate information about the current and past position of systems involved in the logistics chain, based on specialized sensors and Global Positioning System (GPS). The localization demands are more challenging as the need to monitor the autonomous robot's ongoing activities is more stringent indoors and benefit from accurate motion response, which requires calibration.

Antimicrobial Efficiency of Some Essential Oils in Antibiotic-Resistant Isolates.

is a non-fermentative Gram-negative opportunistic pathogen, frequently encountered in difficult-to-treat hospital-acquired infections and also wastewaters. The natural resistance of this pathogen, together with the frequent occurrence of multidrug-resistant strains, make current antibiotic therapy inefficient in treating infections. Antibiotic therapy creates a huge pressure to select resistant strains in clinical settings but also in the environment, since high amounts of antibiotics are released in waters and soil.