17 research outputs found

    Big Data at the service of teaching and scientific research within the UAE

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    With the emergence of the digital world, data access has become an action as quick and direct that many questions arise about the reliability and value of information. However, the data returned by the online search engines are based on an open and massive environment, which include data of any type, which come from different sources of information. Indeed, in the field of education and especially when using online search, the learner is left with a set of heterogeneous information that does not exist in an orderly format and are not easy to consume. This aspect of data variety represents the second V in the design of the Big Data phenomenon. With the aim to support learners in their search for information, it is proposed to design a specialized structuring tool to combine process and classify the variety of these massive data so they can provide the best result to the learner. The present article deals with the descriptive study of the current state of using online search by UAE's students, and the proposal to explore new methods and approaches through experimentation of our solution for open and massive data environment, in order to enhance learning and scientific research in the UAE

    Évaluation de l’innovativité des organisations sociales marocaines : Cas des coopératives d’Argane de la région Souss Massa

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    Today, cooperatives are a major engine of social and economic development in developing countries. Their main contribution is materialized by the implementation of projects with a hybrid added value: social and economic. However, the creation of this value is strongly linked to the innovative capacity of these cooperatives. The innovativeness characterization of a social project remains a major issue for social organizations, and more particularly for cooperatives. The latter remain confused about the approaches, methods and tools for this characterization. Hence the following research question: How to evaluate the innovativeness of a social project concerning the Argan cooperatives of the Souss Massa region in Morocco? This article proposes a tool for characterizing the innovation of a social project that makes it possible to assess its innovative character through the determination of the principal variables of this characterization within the Argane cooperatives of the Souss Massa region. Methodologically, authors referred to literature review on social innovation and its characterization tools. Then, they opted for a case study combining documentary analysis and interviews with staff of the social development agency (ADS- Souss Massa), consultants, experts and project leaders. The results revealed a panoply of criteria for characterizing a social project, the most relevant are: (1) identification of needs (2) impacts (3) experimentation and risk (4) involvement of actors (5) governance (6) resources (7) type of innovation and (8) innovation process.   Keywords: Social innovation, Characterization of social innovation, innovative social project, Argane cooperatives. JEL Classification: L30; O35 Paper type: Empirical researchAujourd’hui, les coopératives constituent une locomotive primordiale des développements économique et social des pays du tiers monde. Leur principale contribution se concrétise par des projets à une valeur ajoutée hybride : sociale et économique. Toutefois, la création de cette valeur passe en premier lieu par la capacité d’innovation de ces coopératives. La caractérisation de l’innovativité d’un projet social reste un enjeu majeur pour les organisations sociales, plus particulièrement les coopératives. Ces dernières restent confuses quant aux approches, aux méthodes et aux outils de cette caractérisation. D’où la question de recherche suivante : Comment évaluer le caractère innovant d’un projet social des coopératives d’Argane de la région Souss Massa au Maroc ? Cet article propose un outil de caractérisation de l’innovation d’un projet social qui permet d’évaluer son caractère innovant à travers la détermination des principales variables de caractérisation de cette innovation dans les coopératives d’Agrane de la région Souss Massa. Méthodologiquement, les auteurs se sont référés à une revue de littérature relative à l’innovation sociale et ses outils de caractérisation. Ensuite, ils ont opté pour une étude de cas en combinant l’analyse documentaire et l'entretien auprès du personnel de l’Agence de Développement Social (ADS-Souss Massa), tous les consultants, les experts et les porteurs de projets. Les résultats ont révélé la manifestation d’une panoplie de critères de caractérisation d’un projet social, dont les plus pertinents ; (1) Identification des besoins (2) impacts (3) prise de risque (4) implication des acteurs (5) gouvernance (6) ressources (7) type d’innovation et (8) processus d’innovation.   Mots clés : Innovation sociale, Caractérisation de l’innovation sociale, projet social innovant, coopératives d’Argane. Classification JEL : L30 ; O35 Type de l’article : Recherche empiriqu

    Measuring the radicalisation risk in social networks

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    Social networks (SNs) have become a powerful tool for the jihadism as they serve as recruitment assets, live forums, psychological warfare, as well as sharing platforms. SNs enable vulnerable individuals to reach radicalized people, hence triggering their own radicalization process. There are many vulnerability factors linked to socio-economic and demographic conditions that make jihadist militants suitable targets for their radicalization. We focus on these vulnera bility factors, studying, understanding, and identifying them on the Internet. Here, we present a set of radicalization indicators and a model to assess them using a data set of tweets published by several Islamic State of Iraq and Sham sympathizers. Results show that there is a strong correlation between the values assigned by the model to the indicatorsThis work was supported in part by EphemeCH, Spanish Ministry of Economy and Competitivity, under the European Regional Development Fund FEDER, under Grant TIN2014-56494-C4-4-P and in part by the Justice Programme of the European Union (2014-2020) 723180, RiskTrack, under Grant JUST-2015-JCOO-AG and Grant JUST-2015-JCOO-AG-1

    Aged garlic extract potentiates doxorubicin cytotoxicity in human breast cancer cells

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    Purpose: To investigate the potential chemo-sensitizing effect of aged garlic extract (AGE) on doxorubicin (DOX) in breast cancer cells (MCF-7), and the possible underlying mechanisms.Methods: Human breast cancer cell line (MCF-7) was treated with AGE and DOX. The cytotoxic effects of AGE and DOX were investigated via cell cycle analysis and apoptosis induction, using flow cytometry. Mechanistic studies involved the determination of cellular uptake of DOX and  p-glycoprotein (P-gp) activity.Results: Combined treatment of MCF7 cells with AGE and DOX produced no significant effect at AGE dose of 10 mg/mL. However, co-treatment with AGE at doses of 50 and 93 mg/mL enhanced the cytotoxicity of DOX on MCF-7 cells, with IC50 values of 0.962 and 0.999 μM, respectively, whencompared with 1.85 μM DOX alone. Moreover, Annexin V-FITC and PI techniques showed that AGE significantly increased percentage of cells in late apoptosis. Besides, AGE-DOX treatment significantly increased cellular uptake of DOX and inhibited P-gp activity, when compared with DOX alone (p < 0.05).Conclusion: AGE enhances the cytotoxic effect of DOX on MCF-7 cells, most likely due to cell cycle distribution, stimulation of apoptosis, increased uptake of DOX by MCF7, and inhibition of P-gp activity. Keywords: Aged garlic extract, Doxorubicin, Breast cancer, MCF-7 cell line, P-glycoprotein, Apoptosis, Cell cycl

    Proceedings of the Virtual 3rd UK Implementation Science Research Conference : Virtual conference. 16 and 17 July 2020.

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    The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

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    INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

    An Automatic Generation of Heterogeneous Knowledge Graph for Global Disease Support: A Demonstration of a Cancer Use Case

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    Semantic data integration provides the ability to interrelate and analyze information from multiple heterogeneous resources. With the growing complexity of medical ontologies and the big data generated from different resources, there is a need for integrating medical ontologies and finding relationships between distinct concepts from different ontologies where these concepts have logical medical relationships. Standardized Medical Ontologies are explicit specifications of shared conceptualization, which provide predefined medical vocabulary that serves as a stable conceptual interface to medical data sources. Intelligent Healthcare systems such as disease prediction systems require a reliable knowledge base that is based on Standardized medical ontologies. Knowledge graphs have emerged as a powerful dynamic representation of a knowledge base. In this paper, a framework is proposed for automatic knowledge graph generation integrating two medical standardized ontologies- Human Disease Ontology (DO), and Symptom Ontology (SYMP) using a medical online website and encyclopedia. The framework and methodologies adopted for automatically generating this knowledge graph fully integrated the two standardized ontologies. The graph is dynamic, scalable, easily reproducible, reliable, and practically efficient. A subgraph for cancer terms is also extracted and studied for modeling and representing cancer diseases, their symptoms, prevention, and risk factors

    Promoting Effect of Soluble Polysaccharides Extracted from Ulva spp. on Zea mays L. Growth

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    Seaweeds can play a vital role in plant growth promotion. Two concentrations (5 and 10 mg/mL) of soluble polysaccharides extracted from the green macroalgae Ulva fasciata and Ulva lactuca were tested on Zea mays L. The carbohydrate and protein contents, and antioxidant activities (phenols, ascorbic, peroxidase, and catalase) were measured, as well as the protein banding patterns. The soluble polysaccharides at 5 mg/mL had the greatest effect on the base of all of the parameters. The highest effects of soluble polysaccharides on the Zea mays were 38.453, 96.76, 4, 835, 1.658, 7.462, and 38615.19, mg/mL for carbohydrates, proteins, phenol, µg ascorbic/mL, mg peroxidase/g dry tissue, and units/g tissue of catalase, respectively. The total number of protein bands (as determined by SDS PAGE) was not changed, but the density of the bands was correlated to the treatments. The highest band density and promoting effect were correlated to 5 mg/mL soluble polysaccharide treatments extracted from Ulva fasciata in Zea mays, which can be used as a biofertilizer