Publications by authors named "N Samaras"

In dense IoT deployments of wireless sensor networks (WSNs), sensor placement, coverage, connectivity, and energy constraints determine the overall network lifetime. In large-size WSNs, it is difficult to maintain a trade-off among these conflicting constraints and, thus, scaling is difficult. In the related research literature, various solutions are proposed that attempt to address near-optimal behavior in polynomial time, the majority of which relies on heuristics.

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Worldwide, the number of old adults will peak in the coming decades. Relying solely on the chronological age to make treatment decisions and shape general or specific societal and medical considerations may reinforce ageism and lead to flawed reasoning. Defining physiological age using biological markers is not yet reliable, and an approach based on comorbidities without considering their impact on quality of life is inadequate.

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This paper presents a new simplex-type algorithm for Linear Programming with the following two main characteristics: (i) the algorithm computes basic solutions which are neither primal or dual feasible, nor monotonically improving and (ii) the sequence of these basic solutions is connected with a sequence of monotonically improving interior points to construct a feasible direction at each iteration. We compare the proposed algorithm with the state-of-the-art commercial CPLEX and Gurobi Primal-Simplex optimizers on a collection of 93 well known benchmarks. The results are promising, showing that the new algorithm competes versus the state-of-the-art solvers in the total number of iterations required to converge.

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Background: Anemia and malnutrition are highly prevalent, frequently concomitant and associated with negative outcomes and mortality in the elderly.

Objectives: To evaluate the association between these two entities, and test the hypothesis that protein-energy deficit could be etiology of anemia.

Design: Prospective case-control study.

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Dehydroepiandrosterone (DHEA) and its sulfate ester (DHEAS) are the most abundant steroids in humans, but their levels fall with age. This decrease has been associated with several age related diseases such as falls, osteoporosis, depression, atherosclerosis and sexual disorders. Moreover, studies have shown positive effects of DHEA administration on several of these disorders, with a satisfying safety profile.

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