Βελτίωση λειτουργίας γραμμής παραγωγής για τη μείωση φύρας, με χρήση μεθόδων και εργαλείων Six Sigma

Εθνικό Μετσόβιο Πολυτεχνείο. Μεταπτυχιακή εργασία. Διεπιστημονικό - Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) "Διοίκηση Επιχειρήσεων (ΜΒΑ)

Change in BMI affects the risk of falling in postmenopausal osteopenic and osteoporotic women.

OBJECTIVES: To investigate the impact of the body mass index (BMI) change on risk of falling in postmenopausal women with osteopenia or osteoporosis. Also, we aimed to evaluate and associate the individuals' functionality, mobility and balance with the risk of falling. METHODS: This one-year prospective observational study assessed 498 postmenopausal Greek women over the 50(th) year of age suffering from either osteoporosis or osteopenia. Parameters such as the height, weight and BMI were documented. Furthermore, the subjects were asked whether they experienced a fall the preceding year. Balance was evaluated using the Berg Balance Scale, the Timed-Up-And-Go test, and the 30 Seconds Sit-to-Stand test. Hand-grip strength was assessed with the Jamar Hydraulic Hand Dynamometer. RESULTS: The observed one-year BMI change was associated with falls in postmenopausal osteopenic and osteoporotic women over the age of 70. Additionally, there were statistically significant changes in the BBS, TUG, 30CST and the hand-grip strength on both hands at the one-year follow-up but there were not associated with an increased fall risk. CONCLUSION: The one-year change in BMI was associated with the risk of falling in postmenopausal osteopenic and osteoporotic women over the 70(th) year of age. Whereas, the one-year change in balance, mobility and grip strength were not linked to an increased risk of falling

Attack Detection for Healthcare Monitoring Systems Using Mechanical Learning in Virtual Private Networks over Optical Transport Layer Architecture

Data security plays a crucial role in healthcare monitoring systems, since critical patient information is transacted over the Internet, especially through wireless devices, wireless routes such as optical wireless channels, or optical transport networks related to optical fibers. Many hospitals are acquiring their own metro dark fiber networks for collaborating with other institutes as a way to maximize their capacity to meet patient needs, as sharing scarce and expensive assets, such as scanners, allows them to optimize their efficiency. The primary goal of this article is to develop of an attack detection model suitable for healthcare monitoring systems that uses internet protocol (IP) virtual private networks (VPNs) over optical transport networks. To this end, this article presents the vulnerabilities in healthcare monitoring system networks, which employ VPNs over optical transport layer architecture. Furthermore, a multilayer network architecture for closer integration of the IP and optical layers is proposed, and an application for detecting DoS attacks is introduced. The proposed application is a lightweight implementation that could be applied and installed into various remote healthcare control devices with limited processing and memory resources. Finally, an analytical and focused approach correlated to attack detection is proposed, which can also serve as a tutorial oriented towards even nonprofessionals for practical and learning purposes