It is a known result that for a minimum cost spanning tree (mcst) game a Core allocation can be deduced directly from a mcst in the underlying network. To determine this Core allocation one only needs to determine a mcst in the network and it is not necessary to calculate the coalition values of the corresponding mcst game. In this paper we will deduce other Core allocations directly from the n...

Problem-specific encodings can improve the performance of metaheuristics, such as genetic algorithms or simulated annealing. This paper studies the link-biased (LB) encoding, which is a tree representation, and applies metaheuristics using this encoding to the minimum communication spanning tree (MCST) problem. Given the communication requirements of the nodes, the MCST problem seeks a communic...

Aim: In this study we used the Nelson’s Modified Card Sorting Test (MCST) to find the differences between Alzheimer’s disease (AD) group/Vascular dementia (VD) group and a normal control group (non-dementia and non-AD), and to identify the commonality between the MCST and dementia patients. Patients and Methods: The MCST was administered to 32 AD patients, 18 vascular dementia patients, and 38 ...

Originally studied for designing min cost connecting grid (in distribution, transportation, communication applications) to connect a set of cities. Under arc lengths > 0 min cost connecting network will bea spanning tree (ST). Earliest algo. (Boruvka's) dates back to 1926! Undirected, connected G = (N A c). To nd an uncon-strained MCST in G. c arbitrary. Constrained MCST problems (typical const...

Reliability theory is used to assess the sensitivity of a passive flexion and active flexion of the human lower leg Finite Element (FE) models with Total Knee Replacement (TKR) to the variability in the input parameters of the respective FE models. The sensitivity of the active flexion simulating the stair ascent of the human lower leg FE model with TKR was presented before in [1,2] whereas now...

BACKGROUND Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). OBJECTIVES To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. METHODS 303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled ...

OBJECTIVE To evaluate the feasibility and preliminary effect of metacognitive strategy training (MCST) on cognitive performance and on neural connectivity in the frontoparietal network in women with chemotherapy-induced cognitive impairment (CICI) following treatment for breast cancer. METHODS A single-group pre/post study was conducted. After completing the baseline assessment battery and ne...

Metaheuristics, such as evolutionary algorithms or simulated annealing, are widely applicable heuristic optimization strategies that have shown encouraging results for a large number of difficult optimization problems. To show high performance, metaheuristics need to be adapted to the properties of the problem at hand. This paper illustrates how efficient metaheuristics can be developed for com...

In recent years, low-power wide-area network (LPWAN) has received widespread popularity with long-range and communication at low power for the Internet of Things (IoT) systems. Among many vendors LPWAN, wireless communications, also called LoRa, is one competing standards well known in both academia industrial communities as an emerging research area. LoRa applications, unmanned aerial vehicles...