49 research outputs found

    Biribi. Przekład i opracowanie tekstu Sebastian Zacharow

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    Tłumaczenia z języka oryginału dokonał: Sebastian Zacharow – dr, Uniwersytet Łódzki, Wydział Filologiczny, Instytut Romanistyki, ul. Pomorska 171/173, 90-235, Łódź; e-mail: [email protected]ępnienie publikacji Wydawnictwa Uniwersytetu Łódzkiego finansowane w ramach projektu „Doskonałość naukowa kluczem do doskonałości kształcenia”. Projekt realizowany jest ze środków Europejskiego Funduszu Społecznego w ramach Programu Operacyjnego Wiedza Edukacja Rozwój; nr umowy: POWER.03.05.00-00-Z092/17-00

    Decision support framework for supply chain planning with flexible demand

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    The most challenging issue of today’s production management is certainly to manage networked organisations under an uncertain demand so that to provide a good service to the customer at low cost. In this article, a model of the decision making parameters involved in this management process is suggested, on the base of case studies. A mixed integer linear planning model embedded in a framework simulating a rolling horizon planning process is described on the base of this analysis. The model takes into account the capabilities of reaction of the planned system and of its environment (suppliers, subcontractors and customers), as well as the corresponding costs. The suggested simulation framework may assist the decision maker for coping with an uncertain or flexible demand, using various planning strategies. Some possible applications of this simulation framework are given in order to illustrate how it can help to solve various types of practical planning problems

    Genotypic and phenotypic spectrum of pyridoxine-dependent epilepsy (ALDH7A1 deficiency)

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    Pyridoxine-dependent epilepsy was recently shown to be due to mutations in the ALDH7A1 gene, which encodes antiquitin, an enzyme that catalyses the nicotinamide adenine dinucleotide-dependent dehydrogenation of L-{alpha}-aminoadipic semialdehyde/L-{Delta}1-piperideine 6-carboxylate. However, whilst this is a highly treatable disorder, there is general uncertainty about when to consider this diagnosis and how to test for it. This study aimed to evaluate the use of measurement of urine L-{alpha}-aminoadipic semialdehyde/creatinine ratio and mutation analysis of ALDH7A1 (antiquitin) in investigation of patients with suspected or clinically proven pyridoxine-dependent epilepsy and to characterize further the phenotypic spectrum of antiquitin deficiency. Urinary L-{alpha}-aminoadipic semialdehyde concentration was determined by liquid chromatography tandem mass spectrometry. When this was above the normal range, DNA sequencing of the ALDH7A1 gene was performed. Clinicians were asked to complete questionnaires on clinical, biochemical, magnetic resonance imaging and electroencephalography features of patients. The clinical spectrum of antiquitin deficiency extended from ventriculomegaly detected on foetal ultrasound, through abnormal foetal movements and a multisystem neonatal disorder, to the onset of seizures and autistic features after the first year of life. Our relatively large series suggested that clinical diagnosis of pyridoxine dependent epilepsy can be challenging because: (i) there may be some response to antiepileptic drugs; (ii) in infants with multisystem pathology, the response to pyridoxine may not be instant and obvious; and (iii) structural brain abnormalities may co-exist and be considered sufficient cause of epilepsy, whereas the fits may be a consequence of antiquitin deficiency and are then responsive to pyridoxine. These findings support the use of biochemical and DNA tests for antiquitin deficiency and a clinical trial of pyridoxine in infants and children with epilepsy across a broad range of clinical scenarios

    An event-driven platform to manage agility: Behavior adaptation in delivery context

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    Developing a framework for designing humanitarian blockchain projects

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    Blockchain technology promises to improve the efficiency, transparency, and accountability of humanitarian operations. Yet at the same time, especially the humanitarian context with its characteristic volatility poses unique challenges to any technology. Most prominent are the humanitarian principles that are fundamental to humanitarian operations. These ethical principles are set to protect the most vulnerable populations. Designing blockchain projects in the humanitarian context therefore requires a systematic framework that helps humanitarians make critical choices.While some design instructions can be found for commercial applications, the humanitarian context requires different design principles and guidelines. To address the lack of a design framework for humanitarian blockchain projects, in this paper, we design and validate guidelines for humanitarian blockchain-projects. We use data from two humanitarian blockchain pilots in Jordan and Kenya to design our framework. Thereafter, we benchmark its applicability and relevance against another pilot in Vanuatu. Our framework highlights the need to consider infrastructure, end-users, ethics, stakeholders, and privacy in contexts, scalability and in/out mechanisms in technology, and knowledge/skills and intellectual property in organisation-related design requirements

    Towards designing and implementing an empirically grounded research for humanitarian logistics after nepal earthquake

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    Purpose This paper proposes a research design for effective use of qualitative data from field research in a quantitative analysis of humanitarian logistics. Design/methodology/approach Our research design is composed of qualitative and quantitative components. The qualitative part has four steps: preparation, data collection, data combination and analysis, and interpretation. We triangulate qualitative data through semi-structured interviews, observations, document review, and online surveys. We use frequency analysis to map out qualitative data to themes that were identified through literature review and best practices. After combining data from various sources, we apply content analysis and then interpret the findings. Findings The results of implementing our research design for Nepal case show its effectiveness for capturing the complexities of and the relation between variables in disasters. Its workflow and research methods exclusively enable using field insights to test theories, inform models, and find field driven research directions. We demonstrate these findings through examples from our field research after 2015 Nepal earthquake. Research limitations/implications (if applicable) Limitations: our disaster field research was constrained by the typical short time to prepare/conduct the research, lack of access to key informant and, limited sample size. Furthermore, the results of our research are based on one case. Implications: our research design resulted in an effective and a traceable use of field data for addressing challenges that practitioners were experiencing. Therefore, proposed research design can be adopted in future for conducting and empirically grounded research on HL. Practical implications (if applicable) Proposed research design enables developing field informed models that can be used as a decision support system in the immediate response. Original/value In this paper, we explicitly explain how we translated Nepal field work into a model and what the problems were in such settings.System Engineerin

    Designing Valid Humanitarian Logistics Scenario Sets: Application to Recurrent Peruvian Floods and Earthquakes

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    Literature about humanitarian logistics (HL) has developed a lot of innovative decision support systems during the last decades to support decisions such as location, routing, supply, or inventory management. Most of those contributions are based on quantitative models but, generally, are not used by practitioners who are not confident with. This can be explained by the fact that scenarios and datasets used to design and validate those HL models are often too simple compared to the real situations. In this chapter, a scenario-based approach based on a five-step methodology has been developed to bridge this gap by designing a set of valid scenarios able to assess disaster needs in regions subject to recurrent disasters. The contribution, usable by both scholars and practitioners, demonstrates that defining such valid scenario sets is possible for recurrent disasters. Finally, the proposal is validated on a concrete application case based on Peruvian recurrent flood and earthquake disasters

    A Sustainability Maturity Assessment Method for the Humanitarian Supply Chain

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    The Humanitarian Supply Chain (HSC) is key to successful relief operations. Today, HSC managers faces many challenges: (1) the increasing gap between funding and appeals; (2) donors ask for more transparency and accountability; (3) the growing pressure to switch to sustainable development. To maintain a competitive position (order winner) in the near future, considering sustainability becomes a fundamental addition to the established effectiveness and efficiency measures. In literature, the lack of Decision Support Systems for planning and achieving of sustainability objectives is described as barrier to sustainable humanitarian operations. We propose a sustainability maturity assessment method to improve the sustainability of HSC operations. Using the information gathered from field research with the IFRC as well as from the literature a proof of concept is presented to demonstrate the relevance of the proposal.System Engineerin
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