1,721,153 research outputs found

    Matheuristics for the lot sizing problem with back-ordering, setup carry-overs, and non-identical machines

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    In this study, the capacitated lot-sizing problem (CLSP) with back-ordering, setup carry-overs between periods, and non-identical parallel machines (CLSP-BOPM) is considered. The problem is one of the most general extensions of the well-known economic lot scheduling problems (ELSPs). Three matheuristics are designed and implemented starting from the ideas of variable neighborhood local search, local branching, and feasibility pump (FP), adapted and improved by considering the specific characteristics of the problem. Algorithms are tested on a set of medium to large problem instances. The FP algorithm outperforms all other algorithms and two different mixed-integer programming solvers as it requires a shorter computational time. To test the robustness of the algorithm, tests on three particular cases of the general problem, belonging to the family of discrete ELSPs, have been performed. Results from the proposed solver and a known specific state-of-the-art algorithm demonstrate substantial improvements

    The impact of the current economic crisis on mental health in Italy: Evidence from two representative national surveys

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    Background: Economic crises pose major threats to health. Research on the association between the current economic crisis and health is accumulating. Scant evidence is available on the impact of economic downturns on mental health in Italy, one of the European countries most affected by the economic crisis. Methods: We used data from the 2005 and 2013 'Health Conditions and Use of Health Services' surveys conducted by the Italian National Institute of Statistics to estimate Italian poor mental health prevalence in Italy and we applied Poisson regression analysis to explore how the risk (expressed as Prevalence Rate Ratios; PRR) of poor mental health has been impacted by the ongoing economic crisis, by gender and by different socio-economic strata. Results: Poor mental health prevalence in Italy was 21.5% in 2005 and 25.1% in 2013. The risk of poor mental health increased between 2005 and 2013 by 17% in males (PRR: 1.17; 95% CI: 1.14-1.20) and by 4% in females (PRR: 1.04; 95% CI: 1.02-1.06), the increase being highest for young males (24%). Vulnerable subgroup is at higher risk of poor mental health but not differently affected by the impact of the economic crisis. Conclusion: The economic crisis that hit Italy has posed threats to Italians' mental health and wellbeing, with a higher impact on young male populations. As further evidence from prospective studies is accumulating, our findings suggest strengthened primary and secondary prevention interventions should be planned and implemented by the Italian National Health Service so as to counter economic downturns' impact on population and individual-level health

    Commentary on the study of Roy et al. Amygdala based altered mir-128-3p in conferring susceptibility to depression-like behavior via Wnt signaling

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    The study of Roy and colleagues, recently accepted for publication on Int J Neuropsychopharmacol is a very interesting report investigating the role of specific microRNAs (miRNAs) in vulnerability or resistance to major depressive disorder (MDD) in a specific brain region (e.g., amygdala). MiRNAs may act as a mega controller of gene expression being involved in the pathogenesis of major neuropsychiatric conditions. Interestingly, some of the altered miRNAs (e.g., hsa-miR-425-3p, miR-425, miR-674-3p, and miR-873-3p) identified in this study were found to be dysregulated even in existing studies but several methodological issues may hamper the translation of basic research findings in clinical studies. MiRNAs are proposed as possible biomarkers of disease and treatment response to disentangle the biological complexity underlying major affective disorders. The main implications regarding the present findings are discussed

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    The impact of the current economic crisis on mental health in Italy: evidence from two representative national surveys

    No full text
    Economic crises pose major threats to health. Research on the association between the current economic crisis and health is accumulating. Scant evidence is available on the impact of economic downturns on mental health in Italy, one of the European countries most affected by the economic crisis
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