161 research outputs found

    Clearance at Cultural Heritage Sites

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    The most mine- and unexploded ordnance (UXO)-contaminated countries in the world have long histories of conflict, as well as histories rich with extensive archeological and cultural records. It is not uncommon for known historical sites to be littered with mines and UXO, especially in regions with hundreds and even thousands of years of rich cultural heritage, such as Central and Southeast Asia and the Caucuses. This presents an added challenge to project teams tasked with clearing and safeguarding the land while also preserving the integrity of cultural heritage sites

    Risk Education in Northern Jordan

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    In 2013 and 2014, the Center for International Stabilization and Recovery at James Madison University led a project funded by the U.S. Department of State’s Office of Weapons Removal and Abatement (PM/WRA) to provide explosive remnants of war risk education to Syrian refugees living in urban areas of northern Jordan. At the time, it was unclear whether the hundreds of thousands of Syrians fleeing the civil conflict and seeking refuge in neighboring countries would be able to return home in the near future, but there was still significant hope this would happen

    Supervised Typing of Big Graphs using Semantic Embeddings

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    We propose a supervised algorithm for generating type embeddings in the same semantic vector space as a given set of entity embeddings. The algorithm is agnostic to the derivation of the underlying entity embeddings. It does not require any manual feature engineering, generalizes well to hundreds of types and achieves near-linear scaling on Big Graphs containing many millions of triples and instances by virtue of an incremental execution. We demonstrate the utility of the embeddings on a type recommendation task, outperforming a non-parametric feature-agnostic baseline while achieving 15x speedup and near-constant memory usage on a full partition of DBpedia. Using state-of-the-art visualization, we illustrate the agreement of our extensionally derived DBpedia type embeddings with the manually curated domain ontology. Finally, we use the embeddings to probabilistically cluster about 4 million DBpedia instances into 415 types in the DBpedia ontology.Comment: 6 pages, to be published in Semantic Big Data Workshop at ACM, SIGMOD 2017; extended version in preparation for Open Journal of Semantic Web (OJSW

    Non coding RNA and brain

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    Small non coding RNAs are a group of very different RNA molecules, present in virtually all cells, with a wide spectrum of regulatory functions which include RNA modification and regulation of protein synthesis. They have been isolated and characterized in all organisms and tissues, from Archaeobacteria to mammals. In mammalian brain there are a number of these small molecules, which are involved in neuronal differentiation as well as, possibly, in learning and memory. In this manuscript, we analyze the present knowledge about the function of the most important groups of small non-coding RNA present in brain: small nucleolar RNAs, small cytoplasmic RNAs, and microRNAs. The last ones, in particular, appear to be critical for dictating neuronal cell identity during development and to play an important role in neurite growth, synaptic development and neuronal plasticity

    Molecular recognition in helix-loop-helix and helix-loop-helix-leucine zipper domains: Design of repertoires and selection of high affinity ligands for natural proteins

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    Helix-loop-helix (HLH) and helix-loop-helix-leucine zipper (HLHZip) are dimerization domains that mediate selective pairing among members of a large transcription factor family involved in cell fate determination. To investigate the molecular rules underlying recognition specificity and to isolate molecules interfering with cell proliferation and differentiation control, we assembled two molecular repertoires obtained by directed randomization of the binding surface in these two domains. For this strategy we selected the Heb HLH and Max Zip regions as molecular scaffolds for the randomization process and displayed the two resulting molecular repertoires on lambda phage capsids. By affinity selection, many domains were isolated that bound to the proteins Mad, Rox, MyoD, and Id2 with different levels of affinity. Although several residues along an extended surface within each domain appeared to contribute to dimerization, some key residues critically involved in molecular recognition could be identified. Furthermore, a number of charged residues appeared to act as switch points facilitating partner exchange. By successfully selecting ligands for four of four HLH or HLHZip proteins, we have shown that the repertoires assembled are rather general and possibly contain elements that bind with sufficient affinity to any natural HLH or HLHZip molecule. Thus they represent a valuable source of ligands that could be used as reagents for molecular dissection of functional regulatory pathways

    Definition of management criteria and design of complex electrical, thermal and cooling energy and fuel distribution networks

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    The energy networks are playing an important role for the achievement of the targets imposed by the national and international policies in the field of environmental protection. To this respect, the traditional energy production systems have been increasingly integrated with the distributed generation systems and in particular with the ones based on the renewable energy sources exploitation. This led to a significant change in the traditional energy networks which become even more complex representing a new challenge within the energy sector. In particular, an important aspect is represented by the definition of the optimal design as well as the management optimization of such complex energy networks. In this context, the PhD activities have been focused on the complex energy network analysis and on the investigation of the different algorithms to face these optimization problems. Furthermore, different case studies of energy networks have been analyzed and implemented within different algorithm-based software

    Experiences of life and intersectionality of transgender refugees living in Italy: A qualitative approach

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    Transgender refugees are at risk of experiencing increased minority stress due to experiences of trauma in their country of origin, and the intersection of multiple marginalized identities in their host country. Adopting a transfeminist and decolonial approach, the present study aimed at exploring transgender refugees’ experiences of life and migration. A semi-structured interview protocol was developed, grounded in the perspectives of minority stress and intersectionality. Participants were five transgender refugees (four women and one non-binary) from different cultural/geographic contexts, professing different religions. Using thematic analysis, the researchers identified three themes: pre- and post-migration minority stress and transphobia; religion as a protective factor for gender affirmation; and individuation and the synthesis of social identities. Participants reported traumatic experiences and the inability to openly live out their gender identity in their country of origin as the main push factors to migration. They also reported feelings of isolation and experiences of victimization during interactions with the Italian asylum services, due to a lack of adequate training, racial prejudice, and transphobia. Participants demonstrated positive individuation, linked to gender affirmation treatments and religious protective factors. The interview protocol may be used by social operators to support the claims of transgender asylum seekers, and to clinically assess transgender people with an immigrant background

    A Multi-Layered Study on Harmonic Oscillations in Mammalian Genomics and Proteomics

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    Cellular, organ, and whole animal physiology show temporal variation predominantly featuring 24-h (circadian) periodicity. Time-course mRNA gene expression profiling in mouse liver showed two subsets of genes oscillating at the second (12-h) and third (8-h) harmonic of the prime (24-h) frequency. The aim of our study was to identify specific genomic, proteomic, and functional properties of ultradian and circadian subsets. We found hallmarks of the three oscillating gene subsets, including different (i) functional annotation, (ii) proteomic and electrochemical features, and (iii) transcription factor binding motifs in upstream regions of 8-h and 12-h oscillating genes that seemingly allow the link of the ultradian gene sets to a known circadian network. Our multifaceted bioinformatics analysis of circadian and ultradian genes suggests that the different rhythmicity of gene expression impacts physiological outcomes and may be related to transcriptional, translational and post-translational dynamics, as well as to phylogenetic and evolutionary components

    Generation of induced pluripotent stem cell line, CSSi004-A (2962), from a patient diagnosed with Huntington's disease at the presymptomatic stage

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    Huntington's disease (HD) is an incurable, autosomal dominant, hereditary neurodegenerative disorder that typically manifests itself in midlife. This pathology is linked to the deregulation of multiple, as yet unknown, cellular processes starting before HD onset. A human iPS cell line was generated from skin fibroblasts of a subject at the presymptomatic life stage, carrying a polyglutamine expansion in HTT gene codifying Huntingtin protein. The iPSC line contained the expected CAG expansion, expressed the expected pluripotency markers, displayed in vivo differentiation potential to the three germ layers and had a normal karyotype

    Production and characterization of CSSI003 (2961) human induced pluripotent stem cells (iPSCs) carrying a novel puntiform mutation in RAI1 gene, Causative of Smith–Magenis syndrome

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    Smith-Magenis syndrome (SMS) is a complex genetic disorder characterized by developmental delay, behavioural problems and circadian rhythm dysregulation. About 90% of SMS cases are due to a 17p11.2 deletion containing retinoic acid induced1 (RAI1) gene, 10% are due to heterozygousmutations affecting RAI1 coding region. Little is known about RAI1 role
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