36 research outputs found

    Link prediction in complex networks: a local na\"{\i}ve Bayes model

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    Common-neighbor-based method is simple yet effective to predict missing links, which assume that two nodes are more likely to be connected if they have more common neighbors. In such method, each common neighbor of two nodes contributes equally to the connection likelihood. In this Letter, we argue that different common neighbors may play different roles and thus lead to different contributions, and propose a local na\"{\i}ve Bayes model accordingly. Extensive experiments were carried out on eight real networks. Compared with the common-neighbor-based methods, the present method can provide more accurate predictions. Finally, we gave a detailed case study on the US air transportation network.Comment: 6 pages, 2 figures, 2 table

    The Lablite project: A cross-sectional mapping survey of decentralized HIV service provision in Malawi, Uganda and Zimbabwe

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    Background In sub-Saharan Africa antiretroviral therapy (ART) is being decentralized from tertiary/secondary care facilities to primary care. The Lablite project supports effective decentralization in 3 countries. It began with a cross-sectional survey to describe HIV and ART services. Methods 81 purposively sampled health facilities in Malawi, Uganda and Zimbabwe were surveyed. Results The lowest level primary health centres comprised 16/20, 21/39 and 16/22 facilities included in Malawi, Uganda and Zimbabwe respectively. In Malawi and Uganda most primary health facilities had at least 1 medical assistant/clinical officer, with average 2.5 and 4 nurses/midwives for median catchment populations of 29,275 and 9,000 respectively. Primary health facilities in Zimbabwe were run by nurses/midwives, with average 6 for a median catchment population of 8,616. All primary health facilities provided HIV testing and counselling, 50/53 (94%) cotrimoxazole preventive therapy (CPT), 52/53 (98%) prevention of mother-to-child transmission of HIV (PMTCT) and 30/53 (57%) ART management (1/30 post ART-initiation follow-up only). All secondary and tertiary-level facilities provided HIV and ART services. In total, 58/81 had ART provision. Stock-outs during the 3 months prior to survey occurred across facility levels for HIV test-kits in 55%, 26% and 9% facilities in Malawi, Uganda and Zimbabwe respectively; for CPT in 58%, 32% and 9% and for PMTCT drugs in 26%, 10% and 0% of facilities (excluding facilities where patients were referred out for either drug). Across all countries, in facilities with ART stored on-site, adult ART stock-outs were reported in 3/44 (7%) facilities compared with 10/43 (23%) facility stock-outs of paediatric ART. Laboratory services at primary health facilities were limited: CD4 was used for ART initiation in 4/9, 5/6 and 13/14 in Malawi, Uganda and Zimbabwe respectively, but frequently only in selected patients. Routine viral load monitoring was not used; 6/58 (10%) facilities with ART provision accessed centralised viral loads for selected patients. Conclusions Although coverage of HIV testing, PMTCT and cotrimoxazole prophylaxis was high in all countries, decentralization of ART services was variable and incomplete. Challenges of staffing and stock management were evident. Laboratory testing for toxicity and treatment effectiveness monitoring was not available in most primary level facilities

    Prevalence, antimicrobial susceptibility and risk factors associated with non-typhoidal Salmonella on Ugandan layer hen farms

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    Abstract Background Non-typhoidal Salmonella (NTS) are among the leading global foodborne pathogens and a significant public health threat. Their occurrence in animal reservoirs and their susceptibilities to commonly used antimicrobials are poorly understood in developing countries. The aim of this study was to estimate the prevalence, determine antimicrobial susceptibility and identify risk factors associated with NTS presence in laying hen farms in Uganda through a cross-sectional study. Results Pooled faecal samples were collected from 237 laying hen farms and these were analysed for NTS following standard laboratory procedures. In total, 49 farms (20.7%; 95% Confidence interval (CI): 15.6–25.6%) were positive for NTS presence. Altogether, ten Salmonella serotypes were identified among the confirmed 78 isolates, and the predominant serotypes were Salmonella Newport (30.8%), S. Hadar (14.1%), S. Aberdeen (12.8%), S. Heidelberg (12.8%), and S. Bolton (12.8%). Phenotypic antimicrobial resistance was detected in 45(57.7%) of the isolates and the highest resistance was against ciprofloxacin (50.0%) followed by sulphonamides (26.9%) and sulphamethoxazole/trimethoprim (7.7%). Resistance was significantly associated with sampled districts (p = 0.034). Resistance to three or more drugs, multi-drug resistance (MDR) was detected in 12 (15.4%) of the isolates, 9 (75%) of these were from Wakiso district. A multivariable logistic model identified large farm size (OR = 7.0; 95% CI: 2.5–19.8) and the presence of other animal species on the farm (OR = 5.9; 95% CI: 2.1–16.1) as risk factors for NTS prevalence on farms. Having a separate house for birds newly brought to the farms was found to be protective (OR = 0,4; 95% CI: 0.2–0.8). Conclusion This study has highlighted a high prevalence and diversity of NTS species in laying hen farms in Uganda and identified associated risk factors. In addition, it has demonstrated high levels of antimicrobial resistance in isolates of NTS. This could be because of overuse or misuse of antimicrobials in poultry production. Also importantly, the insights provided in this study justifies a strong case for strengthening One Health practices and this will contribute to the development of NTS control strategies at local, national and international levels

    Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3L) utility index

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    10.1186/s12955-019-1135-8Health and Quality of Life Outcomes1718

    Amélioration des outils et techniques de production de la mangue séchée au Burkina Faso

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    Le travail présenté ici s’insère dans un programme d’appui à la structuration de la filière mangues séchées. L’une des ses composantes, activité de recherche développement, s’intéresse plus particulièrement aux outils et procédés de production, notamment le séchage. Le travail fait ressortir que l’augmentation de la rentabilité de l’activité des entreprises de production passe avant tout par l’amélioration de la qualité des mangues séchées et secondairement du rendement énergétique des séchoirs. Une modification du séchoir Atesta à combustion de gaz butane, le plus répandu des séchoirs au Burkina Faso a été proposée et mise en place avec recyclage partiel de l’air de séchage et adoption de la convection forcée comme moyen de circulation de l’air chaud. Les modifications apportées au séchoir Atesta ont permis d’augmenter notablement la proportion de mangues de première qualité dite qualité "export". De plus, le temps de séchage de la mangue est réduit de moitié : 9 h au lieu de 18 h. La consommation de gaz est fortement réduite. Elle passe de 11 kg à 7 kg de gaz butane pour le séchage d’une soixantaine de kg de pulpe fraîche. Une étude de la cinétique de séchage a été également menée en milieu contrôlé. Celle-ci dépend fortement de la vitesse de ventilation et de l’épaisseur des tranches de mangue. Les expériences ont permis par ailleurs de mettre en évidence l’effet d’un blanchiment, préalable au séchage, sur la réaction enzymatique, principale cause de brunissement de la mangue séchée. Le document recommande une étude plus approfondie des prétraitements et de leur influence sur la qualité organoleptique et sanitaire du produit commercialis

    Active Exploration in Networks

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    Recommender Systems using Social Network Analysis: Challenges and Future Trends

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    International audienceRecommender systems (RSs) are software tools and techniques dedicated to generate meaningful suggestions about new items (products and services) for particular customers (the users of the RS). These recommendations will help the users to make decisions in multiple contexts, such as what items to buy, what music to listen to, what online news to read [19], or, in the social network domain, which user to connect to or which users to consider as a trustful adviser
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