399 research outputs found

    Cochlear Implant Outcomes and Genetic Mutations in Children with Ear and Brain Anomalies

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    Background. Specific clinical conditions could compromise cochlear implantation outcomes and drastically reduce the chance of an acceptable development of perceptual and linguistic capabilities. These conditions should certainly include the presence of inner ear malformations or brain abnormalities. The aims of this work were to study the diagnostic value of high resolution computed tomography (HRCT) and magnetic resonance imaging (MRI) in children with sensorineural hearing loss who were candidates for cochlear implants and to analyse the anatomic abnormalities of the ear and brain in patients who underwent cochlear implantation. We also analysed the effects of ear malformations and brain anomalies on the CI outcomes, speculating on their potential role in the management of language developmental disorders. Methods. The present study is a retrospective observational review of cochlear implant outcomes among hearing-impaired children who presented ear and/or brain anomalies at neuroimaging investigations with MRI and HRCT. Furthermore, genetic results from molecular genetic investigations (GJB2/GJB6 and, additionally, in selected cases, SLC26A4 or mitochondrial-DNA mutations) on this study group were herein described. Longitudinal and cross-sectional analysis was conducted using statistical tests. Results. Between January 1, 1996 and April 1, 2012, at the ENT-Audiology Department of the University Hospital of Ferrara, 620 cochlear implantations were performed. There were 426 implanted children at the time of the present study (who were <18 years). Among these, 143 patients (64 females and 79 males) presented ear and/or brain anomalies/lesions/malformations at neuroimaging investigations with MRI and HRCT. The age of the main study group (143 implanted children) ranged from 9 months and 16 years (average = 4.4; median = 3.0). Conclusions. Good outcomes with cochlear implants are possible in patients who present with inner ear or brain abnormalities, even if central nervous system anomalies represent a negative prognostic factor that is made worse by the concomitant presence of cochlear malformations. Common cavity and stenosis of the internal auditory canal (less than 2 mm) are negative prognostic factors even if brain lesions are absent

    The Metabolism of Leuconostoc Genus Decoded by Comparative Genomics

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    Leuconostoc encompasses a number of species that frequently appear in foods where they play different roles, ranging from ripening to spoiling. The number of available Leuconostoc genomes has recently increased and enabled the precise taxonomic and phylogenetic delineation of species. Nonetheless, a thorough investigation of the functions and the metabolic potential of Leuconostoc species has never been accomplished. In this study, all the currently available 553 Leuconostoc genomes were downloaded from NCBI GenBank and annotated utilizing specific tools in order to reconstruct the metabolic potential of the genus in terms of carbohydrate hydrolysis and fermentative pathways, transporters, and anabolic potential. The analysis revealed that species cluster based on their metabolic potential, showing unique adaptation and ecological roles. Pentose phosphate and phosphoketolase pathways were highlighted as the main ones of central metabolism. The various identified PTS and ABC transporters showed adaptability to different sugars. The metabolic diversity described in this study not only supports the role of Leuconostoc spp. in natural ecosystems but also highlights their potential in industrial applications, particularly in the fermentation industry where their ability to metabolize a wide range of substrates can be harnessed for the production of various fermented foods and bioproducts

    Comparative life cycle assessment study on environmental impact of oil production from micro-algae and terrestrial oilseed crops

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    In this study the LCA methodology is applied in order to satisfy two goals: i) to evaluate the hot spots in site-specific production chain of biodiesel from terrestrial and micro-algae feedstock; ii) to compare quantitatively, utilizing primary data, the impacts of the first generation in respect to the third generation bio-fuels. Results show that micro-algae are neither competitive yet with traditional oil crops nor with fossil fuel. The use of renewable technologies as photovoltaics and biogas self production might increase the competitiveness of micro-algae oil. Further investigations are however necessary to optimize their production chain and to increase the added value of co-products

    Drip and Mate Operations Acting in Test Tube Systems and Tissue-like P systems

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    The operations drip and mate considered in (mem)brane computing resemble the operations cut and recombination well known from DNA computing. We here consider sets of vesicles with multisets of objects on their outside membrane interacting by drip and mate in two different setups: in test tube systems, the vesicles may pass from one tube to another one provided they fulfill specific constraints; in tissue-like P systems, the vesicles are immediately passed to specified cells after having undergone a drip or mate operation. In both variants, computational completeness can be obtained, yet with different constraints for the drip and mate operations

    Herbicide-resistant weeds : from research and knowledge to future needs

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    Synthetic herbicides have been used globally to control weeds in major field crops. This has imposed a strong selection for any trait that enables plant populations to survive and reproduce in the presence of the herbicide. Herbicide resistance in weeds must be minimized because it is a major limiting factor to food security in global agriculture. This represents a huge challenge that will require great research efforts to develop control strategies as alternatives to the dominant and almost exclusive practice of weed control by herbicides. Weed scientists, plant ecologists and evolutionary biologists should join forces and work towards an improved and more integrated understanding of resistance across all scales. This approach will likely facilitate the design of innovative solutions to the global herbicide resistance challenge

    mtDNA Variation in Caste Populations of Andhra Pradesh, India.

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    Various anthropological analyses have documented extensive regional variation among populations on the subcontinent of India using morphological, protein, blood group, and nuclear DNA polymorphisms. These patterns are the product of complex population structure (genetic drift, gene flow) and a population history noted for numerous branching events. As a result, the interpretation of relationships among caste populations of South India and between Indians and continental populations remains controversial. The Hindu caste system is a general model of genetic differentiation among endogamous populations stratified by social forces (e.g., religion and occupation). The mitochondrial DNA (mtDNA) molecule has unique properties that facilitate the exploration of population structure. We analyzed 36 Hindu men born in Andhra Pradesh who were unrelated matrilineally through at least 3 generations and who represent 4 caste populations: Brahmin (9), Yadava (10), Kapu (7), and Relli (10). Individuals from Africa (36), Asia (36), and Europe (36) were sampled for comparison. A 200-base-pair segment of hypervariable segment 2 (HVS2) of the mtDNA control region was sequenced in all individuals. In the Indian castes 25 distinct haplotypes are identified. Aside from the Cambridge reference sequence, only two haplotypes are shared between caste populations. Middle castes form a highly supported cluster in a neighbor-joining network. Mean nucleotide diversity within each caste is 0.015, 0.012, 0.011, and 0.012 for the Brahmin, Yadava, Kapu, and Relli, respectively. mtDNA variation is highly structured between castes (GST = 0.17; p < 0.002). The effects of social structure on mtDNA variation are much greater than those on variation measured by traditional markers. Explanations for this discordance inelude (1) the higher resolving power of mtDNA, (2) sex-dependent gene flow, (3) differences in male and female effective population sizes, and (4) elements of the kinship structure. Thirty distinct haplotypes are found in Africans, 17 in Asians, and 13 in Europeans. Mean nucleotide diversity is 0.019, 0.014, 0.009, and 0.007 for Africans, Indians, Asians, and Europeans, respectively. These populations are highly structured geographically (GST = 0.15;p < 0.001). The caste populations of Andhra Pradesh cluster more often with Africans than with Asians or Europeans. This is suggestive of admixture with African populations.We would like to thank T. Jenkins, H. Soodyall, P. Nute, and J. Kidd for providing DNA samples and S. Austin, A. Comuzzie, R. Duggirala, R. Feldman, K. Lum, A. Rogers, and S. Watkins for technical advice, critical comments, and thoughtful discussion. This work was supported in part by the National Science Foundation through grant NSF-DBS-9211255, the Clinical Research Center at the University of Utah through grant NIH RR-00064, and the Technology Access Center of the Utah Human Genome Project

    Encoding Synchronous Interactions Using Labelled Petri Nets

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    International audienceWe present an encoding of (bound) CSP processes with replication into Petri nets with labelled transitions. Through the encoding, the firing semantics of Petri nets models the standard operational semantics of CSP processes, which is both preserved and reflected. This correspondence allows for describing by net semantics the standard CSP observational equivalences. Since the encoding is modular with respect to process syntax, the paper puts on a firm ground the technology transfer between the two formalisms, e.g. recasting into the CSP framework well-established results like decidability of coverability for nets. This work complements previous results concerning the encoding of asynchronous interactions, thus witnessing the expressiveness of (open) labelled nets in modelling process calculi with alternative communication patterns

    Weed resistance to synthetic auxin herbicides

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    Herbicides classified as synthetic auxins have been most commonly used to control broadleaf weeds in a variety of crops and in non-cropland areas since the first synthetic auxin herbicide (SAH), 2,4-D, was introduced to the market in the mid-1940s. The incidence of weed species resistant to SAHs is relatively low considering their long-term global application with 29 broadleaf weed species confirmed resistant to date. An understanding of the context and mechanisms of SAH resistance evolution can inform management practices to sustain the longevity and utility of this important class of herbicides. A symposium was convened during the 2nd Global Herbicide Resistance Challenge (May 2017 in Denver, CO, USA) to provide an overview of the current state of knowledge of SAH resistance mechanisms including case studies of weed species resistant to SAHs and perspectives on mitigating resistance development in SAH-tolerant crops

    Evaluation of quality of life and associated factors among HIV patients on antiretroviral therapy in North West region of Cameroon

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    Background: There is evidence that Quality of Life (QoL) of People Living with HIV/AIDS (PLHIV) has a significant role in ART retention, treatment adherence, and survival. As a result, QoL is becoming increasingly important for policymakers, program implementers, and researchers. However, factors associated with QoL, in a culturally diverse country like Cameroon are unknown. Objective: We aimed to assess the QoL of PLHIV on ART and assess the extent to which physical, psychosocial, environmental, and spiritual factors drive QoL. Method: A cross-sectional study was conducted among 394 PLHIV aged &gt;21 in North-West Cameroon from April to July 2019. Data were collected using WHO-QOL BREF questionnaire. Descriptive statistics, bivariate, and multivariate linear regression analyses were performed. Results: Majority (34.5%) of participants were in the age range of 41-50, with 73% females. The average QoL of the respondents was \u201cgood\u201d with mean score of 3.57 on 5 and 71.4% agreed to have satisfactory QoL. Bivariate regression analyses revealed that all six proposed predictors were significantly associated with QoL. Psychological factors made the greatest impact (\u3b2 = 0.213; p&lt;0.003), followed by physical factors (\u3b2 = 0.19; p&lt;0.001). Conclusion: PLHIV fairly agreed to have good QoL. The QoL was driven by mainly psychological and physical factors and not level of independence. However, the mean score perceptions for the investigated domains were low. Mental health services should consider these predictors when designing strategies to improve the QoL of PLHIV. While this study provides useful insights, other possible drivers of QoL among PLHIV should be investigated
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