314 research outputs found

    Violence perception in Mexico related to subjective and social well-being

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    El presente estudio evalúa las actitudes hacia la violencia social en México y las contrasta con medidas de satisfacción como son; el bienestar subjetivo desde la perspectiva cognitiva de satisfacción con la vida (Diener, 1980) y el bienestar social (Keyes, 1998). Para evaluar las actitudes frente a la violencia social, exploramos la Escala de Actitudes ante la Violencia Social (Navarro, 2010). Muestra de 101 participantes (77 M, 24 H) del estado de Colima, México. Las tres subescalas de las Actitudes ante la Violencia Social muestran consistencia interna y correlacionan de manera negativa en relación al Bienestar Subjetivo y Bienestar Social. Los resultados indican efectos negativos generados por la percepción de violencia pero sobre todo incongruencia entre una elevada alarma social ante la violencia y una relativamente baja reacción conductual. Las medias en satisfacción con la vida y en las subescalas de bienestar social son relativamente elevadas como se viene observando en estudios anteriores sobre estos constructos en la población mexicana.The present study evaluates attitudes towards social violence in Mexico and contrasts them with satisfaction measures, such as; satisfaction with life (Diener, 1980) and social well-being (Keyes, 1998). To evaluate attitudes originated from violence we explored the attitudes towards social violence scale (Navarro, 2010). Sample 101 subjects (77 W, 24 M) residents of the state of Colima, Mexico. The three subscales composing the attitudes originated from social violence scale show internal consistence and correlate negatively to subjective and social well-being. These results indicate some negative effects of attitudes originated from violence. There is no congruence between high social alarm and low behavioral responses. Satisfaction with life and social well-being are relatively high as usual in Mexican population

    Elemental composition and potential health impacts of phaseolus vulgaris L. ash and its filtrate used for cooking in Northern Uganda

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    Ash from burnt crop residue of common bean (Phaseolus vulgaris L.) is typically used to generate filtrate in rural Northern Uganda. The filtrate is added to hard-to-cook foods, like dried legumes, to decrease cooking time and improve flavor. However, the elemental composition of ash filtrate and health implications of its use is poorly understood. This study aimed to determine the elemental composition of Phaseolus vulgaris L. ash and its filtrate, to identify variation among study sites, and to assess the potential health impact of ash filtrate consumption in Northern Uganda. Dried ash and ash filtrate samples of P. vulgaris from Dog Abam, Telela, Arok, and Tit villages in Northern Uganda were analyzed for chemical composition. Ash filtrate samples were procured from ash according to local methods. Nutritional impact was assessed by comparing recommended daily intake (RDI) guidelines for Canada and Uganda. Potassium (K), sodium (Na), magnesium (Mg), manganese (Mn), and iron (Fe) concentration in dry crop ash samples varied significantly among study sites. Ash filtrate contained lower concentrations of all elements, suggesting considerable losses through filtration; but showed an alkaline pH (10.1 to 10.8). Elemental concentration present in probable daily intake of ash filtrate (approximately 15 milliliters/person) was within acceptable RDI ranges for elements of known dietary importance. The alkaline pH levels of the ash filtrate may have potential negative effect on diet by decreasing bioavailability of specific minerals (for example, Fe and Zn) and/or having destructive effects on various nutrients (for example thiamine). Further research should be conducted in Northern Uganda and other areas where ash filtrate is in use to determine the specific health effects of this cultural practice. Such studies could include, but not limited to, biological analysis, detailed nutritional studies, and/or long-term monitoring of filtrate consumers. The information gathered from such studies could be critical in formulating appropriate policies regarding the use of ash filtrate.Key words: Food composition, nutrients, Phaseolus vulgaris L. ash filtrate, potential health problem, Ugand

    Computational design of chemical nanosensors: Transition metal doped single-walled carbon nanotubes

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    We present a general approach to the computational design of nanostructured chemical sensors. The scheme is based on identification and calculation of microscopic descriptors (design parameters) which are used as input to a thermodynamic model to obtain the relevant macroscopic properties. In particular, we consider the functionalization of a (6,6) metallic armchair single-walled carbon nanotube (SWNT) by nine different 3d transition metal (TM) atoms occupying three types of vacancies. For six gas molecules (N_{2}, O_{2}, H_{2}O, CO, NH_{3}, H_{2}S) we calculate the binding energy and change in conductance due to adsorption on each of the 27 TM sites. For a given type of TM functionalization, this allows us to obtain the equilibrium coverage and change in conductance as a function of the partial pressure of the "target" molecule in a background of atmospheric air. Specifically, we show how Ni and Cu doped metallic (6,6) SWNTs may work as effective multifunctional sensors for both CO and NH_{3}. In this way, the scheme presented allows one to obtain macroscopic device characteristics and performance data for nanoscale (in this case SWNT) based devices.Comment: Chapter 7 in "Chemical Sensors: Simulation and Modeling", Ghenadii Korotcenkov (ed.), 47 pages, 22 figures, 10 table

    Requirement of Pax6 for the integration of guidance cues in cell migration

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    The intricate patterns of cell migration that are found throughout development are generated through a vast array of guidance cues. Responding integratively to distinct, often conflicting, migratory signals is probably crucial for cells to reach their correct destination. Pax6 is a master transcription factor with key roles in neural development that include the control of cell migration. In this study, we have investigated the ability of cells derived from cortical neurospheres from wildtype (WT) and Pax6-/- mouse embryos to integrate diverging guidance cues. We used two different cues, either separately or in combination: substratum nanogrooves to induce contact guidance, and electric fields (EFs) to induce electrotaxis. In the absence of an EF, both WT and Pax6-/- cells aligned and migrated parallel to grooves, and on a flat substrate both showed marked electrotaxis towards the cathode. When an EF was applied in a perpendicular orientation to grooves, WT cells responded significantly to both cues, migrating in highly oblique trajectories in the general direction of the cathode. However, Pax6-/- cells had an impaired response to both cues simultaneously. Our results demonstrate that these neurosphere derived cells have the capacity to integrate diverging guidance cues, which requires Pax6 function

    Organic Amendments and Earthworm Addition Improve Properties of Nonacidic Mine Tailings

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    In many mined areas, lack of topsoil limits conversion of disturbed landscapes to former or other productive uses. We examined the use of biosolids (10 or 20% by dry mass), with or without sawdust, pulp sludge, and the contribution of an earthworm species (Dendrobaena veneta) to improve the properties of nonacidic mine tailings. Pulp sludge more rapidly immobilized excessive NH4 + concentrations from biosolids early in the study; however, total mineral N concentrations were similar in pulp sludge and sawdust treatments by week 29. Although NO3 −-N concentrations were generally greater in treatments with earthworms, these trends were not statistically significant (P>0.05). In general, Bray P concentrations were greater in the presence of earthworms. Soil thin sections showed that earthworms mixed organic residues into elongated spherical units within mine tailings. Organic residues in combination with earthworm addition may improve the chemical and microstructural properties of non-acidic mine tailings, producing a substrate conducive for plant establishment

    Allopregnanolone Improves Locomotor Activity and Arousal in the Aged CGG Knock-in Mouse Model of Fragile X-Associated Tremor/Ataxia Syndrome.

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    Carriers of the fragile X premutation (PM) can develop a variety of early neurological symptoms, including depression, anxiety and cognitive impairment as well as being at risk for developing the late-onset fragile X-associated tremor/ataxia syndrome (FXTAS). The absence of effective treatments for FXTAS underscores the importance of developing efficacious therapies to reduce the neurological symptoms in elderly PM carriers and FXTAS patients. A recent preliminary study reported that weekly infusions of Allopregnanolone (Allop) may improve deficits in executive function, learning and memory in FXTAS patients. Based on this study we examined whether Allop would improve neurological function in the aged CGG knock-in (CGG KI) dutch mouse, B6.129P2(Cg)-Fmr

    ELEMENTAL COMPOSITION AND POTENTIAL HEALTH IMPACTS OF Phaseolus vulgaris L. ASH AND ITS FILTRATE USED FOR COOKING IN NORTHERN UGANDA

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    ABSTRACT Ash from burnt crop residue of common bean (Phaseolus vulgaris L.) is typically used to generate filtrate in rural Northern Uganda. The filtrate is added to hard-to-cook foods, like dried legumes, to decrease cooking time and improve flavor. However, the elemental composition of ash filtrate and health implications of its use is poorly understood. This study aimed to determine the elemental composition of Phaseolus vulgaris L. ash and its filtrate, to identify variation among study sites, and to assess the potential health impact of ash filtrate consumption in Northern Uganda. Dried ash and ash filtrate samples of P. vulgaris from Dog Abam, Telela, Arok, and Tit villages in Northern Uganda were analyzed for chemical composition. Ash filtrate samples were procured from ash according to local methods. Nutritional impact was assessed by comparing recommended daily intake (RDI) guidelines for Canada and Uganda. Potassium (K), sodium (Na), magnesium (Mg), manganese (Mn), and iron (Fe) concentration in dry crop ash samples varied significantly among study sites. Ash filtrate contained lower concentrations of all elements, suggesting considerable losses through filtration; but showed an alkaline pH (10.1 to 10.8). Elemental concentration present in probable daily intake of ash filtrate (approximately 15 milliliters/person) was within acceptable RDI ranges for elements of known dietary importance. The alkaline pH levels of the ash filtrate may have potential negative effect on diet by decreasing bioavailability of specific minerals (for example, Fe and Zn) and/or having destructive effects on various nutrients (for example thiamine). Further research should be conducted in Northern Uganda and other areas where ash filtrate is in use to determine the specific health effects of this cultural practice. Such studies could include, but not limited to, biological analysis, detailed nutritional studies, and/or long-term monitoring of filtrate consumers. The information gathered from such studies could be critical in formulating appropriate policies regarding the use of ash filtrate

    Horizontes imprevisibles de un derecho penal ilimitado: alcances. Consecuencias

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    Divulgação dos SUMÁRIOS das obras recentemente incorporadas ao acervo da Biblioteca Ministro Oscar Saraiva do STJ. Em respeito à Lei de Direitos Autorais, não disponibilizamos a obra na íntegra.Localização na estante: 343 H811iCoordenado por: Gustavo A. Arocena, Sergio J. Cuarezma Terán e Álvaro Burgos Mata

    Micromorphological and Chemical Approaches to Understand Changes in Ecological Functions of Metal-Impacted Soils under Various Land Uses

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    We investigated the changes in faunal activities as measures of the ecological functions of soils impacted by potentially toxic metals (PTMs) under urban, industrial, agricultural, and natural uses. Concentrations and distributions of Zn, Cd, Pb, Cu, Mn, and Fe were estimated by sequential chemical extractions, while relicts and present faunal activities were studied by micromorphological analyses. Urban and natural lands were contaminated with Pb, Cd, and Zn. Microarthropods and fungi are observed to be active in the litter decomposition in natural, agricultural and urban lands which indicates that total concentration of PTMs in soils is not a good indicator to evaluate the limitations of PTMs to fauna activity. Metals immobilization on carbonates and Fe/Mn oxides, and fertilizations reduced the negative effects of metals on faunal activity. Micromorphological analyses showed the impacts of metal on soil ecological functions in industrial site, where the surface soils are devoid of any evidence of faunal activity; likely due to high proportion of Pb and Zn in organic components. Therefore, the impacts of metals in soil fauna activities, hence ecological functions of soils, are best evaluated by the knowledge of metal partitioning on solid phases in combination with observations of fauna activities using micromorphological techniques

    Local Embeddings for Relational Data Integration

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    Deep learning based techniques have been recently used with promising results for data integration problems. Some methods directly use pre-trained embeddings that were trained on a large corpus such as Wikipedia. However, they may not always be an appropriate choice for enterprise datasets with custom vocabulary. Other methods adapt techniques from natural language processing to obtain embeddings for the enterprise's relational data. However, this approach blindly treats a tuple as a sentence, thus losing a large amount of contextual information present in the tuple. We propose algorithms for obtaining local embeddings that are effective for data integration tasks on relational databases. We make four major contributions. First, we describe a compact graph-based representation that allows the specification of a rich set of relationships inherent in the relational world. Second, we propose how to derive sentences from such a graph that effectively "describe" the similarity across elements (tokens, attributes, rows) in the two datasets. The embeddings are learned based on such sentences. Third, we propose effective optimization to improve the quality of the learned embeddings and the performance of integration tasks. Finally, we propose a diverse collection of criteria to evaluate relational embeddings and perform an extensive set of experiments validating them against multiple baseline methods. Our experiments show that our framework, EmbDI, produces meaningful results for data integration tasks such as schema matching and entity resolution both in supervised and unsupervised settings.Comment: Accepted to SIGMOD 2020 as Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. Code can be found at https://gitlab.eurecom.fr/cappuzzo/embd
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