PURPOSE Important considerations for exercise trials in cancer patients are contamination and differential drop-out among the control group members that might jeopardize the internal validity. This systematic review provides an overview of different control groups design characteristics of exercise-oncology trials and explores the association with contamination and drop-out rates. METHODS Ran...

Background: Low vaccination coverage has been attributed to missed opportunities for (MOV). This study examines the prevalence of MOV, and its associated factors among children in Cameroon. Methods: Data from 2018 Demographic Health Survey (DHS) was analyzed with at least one date home-based record (HBR). Immunization performances such as accessibility, drop-out, timeliness, were assessed. Serv...

This paper examines the impact of vaccination programs on stock market volatility travel and leisure sector. Using daily data from 56 countries over period January 2020 to March 2021, we find that leads a decrease in investment risk companies. Vaccination results prices The drop is robust many alternative estimation techniques, different measures, various proxies for vaccinations. Moreover, thi...

BACKGROUND Non-response and drop-out are problems that are commonly encountered in health promotion trials. Understanding the health-related characteristics of non-participants and drop-outs and the reasons for non-participation and drop-out may be beneficial for future intervention trials. METHODS Male construction workers with an elevated risk of cardiovascular disease (CVD) were invited to...

In view of the lack dynamicity in a traditional fixed sensor system, an algorithm of tracking multiple maneuvering targets in a dynamic sensor system is proposed in this paper. The algorithm combines coordinate conversion logics and a multiple sensor data fusion for it to work in the dynamic sensor system. With the developed algorithm, the sensors can be installed in various tracking systems wh...

TestElement ProxyControlGUI 22 46 1.12 29 57 0.98 23 252 0.98 24 30 1.20 22 58 1.08 Figure 8: Measures of CBO, NOM, and IC For each candidate class, a complete weighted graph is built. Figure 9(a) shows the graph for the MenuFactory class. The graph involves 22 nodes representing the methods defined in the class and 231 edges connecting the nodes. The threshold for the class ranges from 0.95 to...