1,721,465 research outputs found

    Digital ergonomics: an evaluation framework for the ergonomic risk assessment of heterogeneous workers

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    In the era of smart factories, digital twin may be a key for improving ergonomics analyses related to manual assembly activities. The use of digital technologies can help in bypassing some biases related to observational methods and speeding up the ergonomics analyses. This paper proposes a framework based on the development of a digital environment for carrying out ergonomics simulations of complex working systems in which a number of workers and other variables have to be considered for ergonomics evaluation. Based on such framework, a case study considering heterogeneous workers in a manual car assembly system has been analysed, and the impact of the implementation of different job rotation strategies has been studied. The tool is demonstrated to be effective in evaluating the physical ergonomic risk of a large number of configurations, and the results highlighted that proper job rotation strategies may affect the final scores of the considered indices

    TRANSCRIPTION FACTOR TBX1 OVEREXPRESSION INDUCES DOWNREGULATION OF PROTEINS INVOLVED IN RETINOIC ACID METABOLISM: A COMPARATIVE PROTEOMIC ANALYSIS

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    Transcription factor TBX1 overexpression induces downregulation of proteins involved in retinoic acid metabolism: a comparative proteomic analysis. Caterino M, Ruoppolo M, Fulcoli G, Huynth T, Orrù S, Baldini A, Salvatore F. CEINGE Biotecnologie Avanzate scarl, Napoli, Italy, Dipartimento di Biochimica e Biotecnologie Mediche, Universita di Napoli Federico II, Napoli, Italy. TBX1 haploinsufficiency is considered a major contributor to the del22q11.2/DiGeorge syndrome (DGS) phenotype. We have used proteomic tools to look at all the major proteins involved in the TBX1-mediated pathways in an attempt to better understand the molecular interactions instrumental to its cellular functions. We found more than 90 proteins that could be targeted by TBX1 through different mechanisms. The most interesting observation is that overexpression of TBX1 results in down-regulation of two proteins involved in retinoic acid metabolism

    Targeted lipidomics data of COVID-19 patients

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    The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here presented belong to one of the first lipidomics studies carried out on COVID-19 patients’ samples collected during the first pandemic waves. Serum samples were obtained from hospitalized patients with a molecular diagnosis of SARS-CoV-2 infection detected after nasal swab, and categorized as mild, moderate, or severe according to pre-established clinical descriptors. The MS-based targeted lipidomic analysis was performed by MRM using a Triple Quad 5500+ mass spectrometer, and the quantitative data were acquired on a panel of 483 lipids. The characterization of this lipidomic dataset has been outlined using multivariate and univariate descriptive statistics and bioinformatics tools

    Reducing the physical ergonomic risk by job rotation: A simulation-based approach

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    Since years, researchers have proposed job rotation as a solution to balance physical workload and reduce ergonomic risk among operators. Simulation is a strong tool for rapid ergonomic analysis, which allows testing different configurations and evaluating the characteristics of different operators. Thanks to such tool, this study proposes a new approach to improve a real system and reduce the ergonomic risk among operators. A real assembly station has been involved in the study and a postural analysis has been performed considering real variables of the system. Different potential workers with different anthropometric characteristics have been tested. The critical situations have been identified and solved proposing different job rotation solutions. Simulation results confirm that job rotation is a good approach to reduce the ergonomic risk and they provide practical guidelines for task assignment

    Maintenance management for geographically distributed assets: a criticality-based approach

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    This paper provides a model to help decision-makers to choose the daily maintenance strategy for geographically distributed assets (GDA) where sites are located in a wide geographical area and a single maintenance centre is involved in managing the maintenance. A hierarchical structure has been used to represent the Multi-System Multi-Component network (MSMCN). A quantitative framework with sequential steps has been developed to plan a daily mix of maintenance actions. First, a dynamic criticality analysis identifies the critical items. A second screening adopts reliability thresholds to determine components that could be preventively replaced. Finally, an iterative economic comparison procedure selects the activities to schedule day by day. The proposed approach also considers time and resources constraints. The model was applied to a real case study to verify its feasibility. Results were compared to the results obtained implementing the current strategy in terms of total downtime, total number of sites visited and total maintenance cost. It was demonstrated that it is possible to reduce the total maintenance cost and the total number of sites visited in a year by balancing opportunistic and preventive maintenance activities with an appropriate selection of the model's thresholds

    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
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