Editorial

Mobility is an important feature that sets mobile robotics apart from other robotics fields. Mobile robots must be true intelligent systems capable of motion while executing a given task. Most of the key problems in mobile robotics arise from the inherent uncertainties involved in sensing and acting in real-world environments, which are usually unstructured and unpredictable. Autonomous and safe behavior for mobile robots acting in such environments and coping with a wide set of tasks in all operationalmodes constitutes a fundamental requirement for tomorrow’smobile robotic machines. These systems should detect unforeseen situation and recover into a controlled state

The advanced activities of daily living: a tool allowing the evaluation of subtle functional decline in mild cognitive impairment

Objectives: Assessment of advanced activities of daily living (a-ADL) can be of interest in establishing the diagnosis of Alzheimer's disease (AD) in an earlier stage, since these activities demand high cognitive functioning and are more responsive to subtle changes. In this study we tested a new a-ADL tool, developed according to the International Classification of Functioning, Disability and Health (ICF). The a-ADL tool is based on the total number of activities performed (TNA) by a person and takes each subject as his own reference. It distinguishes a total Disability Index (a-ADL-DI), a Cognitive Disability Index (a-ADL-CDI), and a Physical Disability Index (a-ADL-PDI), with lower score representing more independency. We explored whether these indices allow distinction between cognitively healthy persons, patients with Mild Cognitive Impairment (MCI) and patients with mild AD. Methods: Participants were on average 80 years old (SD 4.6; 66-90), were community dwelling, and were diagnosed as (1) cognitively healthy subjects (n=26); (2) patients with MCI (n = 17), or (3) mild AD (n = 25), based upon extensive clinical evaluation and a set of global, cognitive, mood and functional assessments. The a-ADL-tool was not part of the clinical evaluation. Results: The a-ADL-CDI was significantly different between the three groups (p<.01). The a-ADL-DI was significantly different between MCI and AD (p<.001). The tool had good psychometrical properties (inter-rater reliability; agreement between patient and proxy; correlations with cognitive tests). Although the sample size was relatively small, ROC curves were computed for the a-ADL-DI and a-ADL-CDI with satisfactory and promising results. Conclusion: The a-ADL-CDI and a-ADL-DI might offer a useful contribution to the identification and follow up of patients with mild cognitive disorders in an older population

Risk-sensitive motion planning for MAVs based on mission-related fault-tolerant analysis

Multirotor Aerial Vehicles may be fault-tolerant by design when rotor-failure is possible to measure or identify, especially when a large number of rotors are used. For instance, an octocopter can be capable to complete some missions even when a double-rotor fault occurs during the execution. In this paper, we study how a rotor-failure reduces the vehicle control admissible set and its importance with respect to the selected mission, i.e. we perform mission-related fault-tolerant analysis. Furthermore, we propose a risk-sensitive motion-planning algorithm capable to take into account the risks during the planning stage by means of mission-related fault-tolerant analysis. We show that the proposed approach is much less conservative in terms of selected performance measures than a conservative risk planner that assumes that the considered fault will certainly occur during the mission execution. As expected, the proposed risk-sensitive motion planner is also readier for accepting failures during the mission execution than the risk-insensitive approach that assumes no failure will occur

Editorial

Mobility is an important feature that sets mobile robotics apart from other robotics fields. Mobile robots must be true intelligent systems capable of motion while executing a given task. Most of the key problems in mobile robotics arise from the inherent uncertainties involved in sensing and acting in real-world environments, which are usually unstructured and unpredictable. Autonomous and safe behavior for mobile robots acting in such environments and coping with a wide set of tasks in all operationalmodes constitutes a fundamental requirement for tomorrow’smobile robotic machines. These systems should detect unforeseen situation and recover into a controlled state

Tumor necrosis factor-alpha as differential diagnostic marker for patients with fever of unknown origin

© 2019, University of Kragujevac, Faculty of Science. All rights reserved. Febrile conditions of unidentified origin are still unknown in modern medicine despite the development of diagnostic procedures. There are various agents of long-term temperature encompassing numerous infectious or non-infectious diseases. The aim of this study was to determine if there was a statistically significant difference in the values of proinfl ammatory cytokines (IL-1, TNFa, IL-6) in patients who meet the criteria for febrile conditions of unidentified origin, between the group of infectious, malignant, rheumatic, “other” diseases and undiagnosed patients. The study was conducted in the Immunology laboratory of the Center for Molecular Medicine and Stem Cells Research of the Faculty of Medical Sciences in Kragujevac. Blood samples were taken from patients tested at the Clinic for Infectious Diseases, of the Clinical Center of Kragujevac, in the period from 2014 to 2016. The study included 70 patients. The measured values of the level of TNFa showed significantly higher values in a group of malignant diseases than in the group of infectious diseases, while the values of IL-1 and IL-6 did not show statistical significance. TNFa can improve diagnosing in case of patients with an unknown febrile condition, which can shorten the length of the hospital stay and reduce the volume of performance of diagnostic procedures