A label-free optical biosensor-based point-of-care test for the rapid detection of Monkeypox virus.

Diagnostic approaches that combine the high sensitivity and specificity of laboratory-based digital detection with the ease of use and affordability of point-of-care (POC) technologies could revolutionize disease diagnostics. This is especially true in infectious disease diagnostics, where rapid and accurate pathogen detection is critical to curbing the spread of disease. We have pioneered an innovative label-free digital detection platform that utilizes Interferometric Reflectance Imaging Sensor (IRIS) technology.

Quiet Quitting reason and behavior scale design and development process.

Background: The concept of "Quiet Quitting", which might be considered new in the literature, is used to describe a passive and silent giving up.

Objective: The aim of this study is to develop a scale to evaluate both the causes and consequences of "quiet quitting" which is believed to be increasing for various reasons in our country as well as in the world.

Method: Five-stage scale development method which was presented by Cohen and Swerdik was used in the process of developing the Quiet Quitting Reason and Behavior Scale (QQRBS).

A Label-free Optical Biosensor-Based Point-of-Care Test for the Rapid Detection of Monkeypox Virus.

Diagnostic approaches that combine the high sensitivity and specificity of laboratory-based digital detection with the ease of use and affordability of point-of-care (POC) technologies could revolutionize disease diagnostics. This is especially true in infectious disease diagnostics, where rapid and accurate pathogen detection is critical to curbing the spread of disease. We have pioneered an innovative label-free digital detection platform that utilizes Interferometric Reflectance Imaging Sensor (IRIS) technology.

Evaluation of Incoming Messages to WhatsApp Communication Network Created by Volunteers in Major Disasters: The Case of Turkey Earthquake.

Objective: This research was conducted in order to assess the 1-week aid needs determined by the health professional who voluntarily served in the WhatsApp communication network during the earthquakes in Kahramanmaraş, Turkey.

Methods: This descriptive retrospective epidemiological study focuses on the 1-week messaging activities of the WhatsApp group created by volunteers after the earthquake in Turkey. During the 7-day period included in the research, a total of 5813 messages were sent.

Epidemiology of out-of-hospital cardiac arrest: comparison of Turkish nationals and refugees.

The aim of this study is to conduct an epidemiological examination of Turkish citizens and refugees who requested an ambulance due to Out-of-hospital cardiac arrest (OHCA) at the Kayseri 112 emergency services between 2019 and 2020. This study was carried out in the province of Kayseri, which is one of the largest cities in Turkey. The study population includes OHCA patients for whom EMS were activated for any reason in 2019-2020.