4,375 research outputs found

    Interactive-predictive neural multimodal systems

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    [EN] Despite the advances achieved by neural models in sequence to sequence learning, exploited in a variety of tasks, they still make errors. In many use cases, these are corrected by a human expert in a posterior revision process. The interactive-predictive framework aims to minimize the human effort spent on this process by considering partial corrections for iteratively refining the hypothesis. In this work, we generalize the interactive-predictive approach, typically applied in to machine translation field, to tackle other multimodal problems namely, image and video captioning. We study the application of this framework to multimodal neural sequence to sequence models. We show that, following this framework, we approximately halve the effort spent for correcting the outputs generated by the automatic systems. Moreover, we deploy our systems in a publicly accessible demonstration, that allows to better understand the behavior of the interactive-predictive framework.The research leading to these results has received funding from MINECO under grant IDIFEDER/2018/025 Sistemas de fabricacion inteligentes para la industria 4.0, action co-funded by the European Regional Development Fund 2014-2020 (FEDER), and from the European Commission under grant H2020, reference 825111 (DeepHealth). We also acknowledge NVIDIA Corporation for the donation of GPUs used in this work.Peris, Á.; Casacuberta Nolla, F. (2019). Interactive-predictive neural multimodal systems. Springer. 16-28. https://doi.org/978-3-030-31332-6_2S162

    New Methodology for the Classification of Gravel Beaches: Adjusted on Alicante (Spain)

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    [EN] In this article, a methodology is presented for the classification of gravel beaches, which can be applied internationally. Such beaches¿ defence against the energy of incoming water flow is due to their steep slopes and the high permeability of infiltration, but that defence is reduced with increasing sand fraction. The objective of this research was to understand the variables involved in the formation of gravel beaches, to classify them according to the distribution and position of sediment along the transversal profile, and to obtain a discriminant function. To apply the methodology, 34 gravel beaches in the province of Alicante, Spain, were first classified visually into five different types: Type 1: Sand and gravel beaches, Type 2: Sand and gravel separated beaches, Type 3: Gravel and sand beaches, Type 4: Gravel and sand separated beaches, and Type 5: Pure gravel beaches. In addition, a major study was performed to reduce the number of variables because one of the concerns was to find the variables that characterize and classify the beaches. Thus, the 45 variables, grouped according to material characteristics, wave, boundary conditions, and geometry of the beach, were first reduced to 25 by making comparisons among them and the type of beach and were finally reduced to 14 using the discriminant method. Note the use of the important variable Posidonia oceanica in the Mediterranean area, which, because of the changes produced in the swell, was actively involved in the classification. Finally, the discriminant function obtained was validated.Aragones, L.; Lopez, I.; Villacampa, Y.; Serra Peris, JC.; Saval, J. (2018). New Methodology for the Classification of Gravel Beaches: Adjusted on Alicante (Spain). Journal of Coastal Research. 31(4):1023-1034. doi:10.2112/JCOASTRES-D-14-00140.1S1023103431

    La familia catalana

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    Tesis inédita de la Universidad de Madrid, Facultad de Derecho, leída en 1907.Fac. de DerechoTRUEProQuestpu

    HIV/AIDS/STI Surveillance Report:Report Number 21

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    Since the first cases of Acquired Immunodeficiency Syndrome (AIDS) in Tanzania were reported in 1983, the epidemic has evolved from being a rare and new disease to a common household problem, which has affected most Tanzania families. The mainland Tanzania faces a generalized human immunodeficiency virus (HIV) and AIDS epidemic, with an estimated 6.5% of the mainland population infected with HIV (7.7% of adult women and 6.3% of adult men). Overall, 1.4 million Tanzanians (1,300,000 adults and 110,000 children) are living with HIV infection, in a total population of 41 million. The social, economic, and environmental impact of the pandemic is sorely felt as an estimated 140,000 Tanzanians have perished, leaving behind as estimated 2.5 million orphans and vulnerable children, representing approximately 10-12% of all Tanzanian children. As elsewhere in sub-Saharan African, the underlying factors of poverty, migration, marginalization, lack of information and skills, disempowerment, and poor access to services raise the risk of HIV and have an impact on the course and spread of the pandemic. Close to 85% of HIV transmission in Tanzania occurs through heterosexual contact, less than 6% through mother-to-child transmission, and less than 1% through blood transfusion. There continues to be a significant difference in the prevalence among urban (10.9%) and rural (5.3%) areas of the country. The National AIDS Control Programme (NACP) of Tanzania was founded in 1987 to champion the health sector response to the HIV epidemic. The primary objectives of the program were to reduce spread of HIV infection, screen blood supplies, enhance clinical services for HIV/AIDS patients and improve STI treatment, prevention of mother-to-child transmission (PMTCT), advocate behavioral change and conduct epidemiologic surveillance and other research. The program phases started with a two-year phase called Short Term Plan\ud (1985-1986). Subsequent phases were termed Medium Term Plans lasting for five-year periods. Through these program phases successful national responses have been identified, the most effective ones being those touching on the major determinants of the epidemic and addressing priority areas that make people vulnerable to HIV infection. These include the following; Since early eighties great efforts have been made to reduce spread of HIV infection through screening of donor blood, advocating behavioral change, condom promotion and improvement of STI treatment. In addition a number of epidemiologic surveillance have been conducted to monitor the trend of HIV infection among different subpopulations e.g. blood donors and pregnant women attending antenatal clinics. In 2004, the National Blood Transfusions Services (NBTS), which is a centralized system of coordinated blood transfusion services, was established. The NBTS is responsible for collection, processing, storage and distribution of safe blood and blood products to health facilities. At the moment NBTS coordinates eight zonal blood transfusion centers, namely Lake Zone-(LZBTC) in Mwanza region, Western-(WZBTC) in Tabora, Northern (NZBTC) in Kilimanjaro region, Eastern (EZBTC) in Dar es Salaam, Southern highlands (SHZBTC) in Mbeya, Southern (SZBTC) in Mtwara and Zanzibar and a military zone –Tanzania People’s Defence Force (TPDF). Since the establishment of NBTS, donated blood in the eight zones is systematically screened for HIV, hepatitis B virus (HBV), hepatitis C virus (HCV) and syphilis. The National HIV Care and Treatment Plan (NCTP) was launched in October 2004, with the main focus of a rapid scaling up of HIV care and treatment services, aimed at having more than 400,000 patients on care and treatment by the end of 2008 and, at the same time, follow up disease progression in 1.2 million HIV+ persons who are not eligible for ntiretroviral therapy (ART). Prevention of Mother to Child Transmission of HIV (PMTCT) services were established in 2002 , providing a package of services that include: counseling and testing for pregnant women; short-course preventive ARV regimens to prevent mother-to-child transmission; counseling and support for safe\ud infant feeding practices; family planning counseling or referral; and referral for long-term ART for the\ud child. This report which covers the NACP activities through December 2008 has been arranged in five chapters and is intended for various stakeholders, primarily those working within the health sector.\u

    The Impact of Deep Vein Thrombosis in Critically Ill Patients: A Meta-Analysis of major clinical outcomes

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    Background. Critically ill patients appear to be at high risk of developing deep vein thrombosis (DVT) and pulmonary embolism during their stay in the intensive care unit (ICU). However, little is known about the clinical course of venous thromboembolism in the ICU setting. We therefore evaluated, through a systematic review of the literature, the available data on the impact of a diagnosis of DVT on hospital and ICU stay, duration of mechanical ventilation and mortality in critically ill patients. We also tried to determine whether currently adopted prophylactic measures need to be revised and improved in the ICU setting. Materials and methods. MEDLINE and EMBASE databases were searched up to week 4 of June 2012. Two reviewers selected studies and extracted data. Pooled results are reported as relative risks and weighted mean differences and are presented with 95% confidence intervals (CI). Results. Seven studies for a total of 1,783 patients were included. A diagnosis of DVT was frequent in these patients with a mean rate of 12.7% (95% CI: 8.7-17.5%). DVT patients had longer ICU and hospital stays compared to those without DVT (7.28 days; 95% CI: 1.4-13.15; and 11.2 days; 95% CI: 3.82-18.63 days, respectively). The duration of mechanical ventilation was significantly increased in DVT patients (weighted mean difference: 4.85 days; 95% CI: 2.07-7.63). DVT patients had a marginally significant increase in the risk of hospital mortality (relative risk 1.31; 95% CI: 0.99-1.74; p=0.06), and a not statistically significant increase in the risk of ICU mortality (RR 1.64; 95% CI: 0.91-2.93; p=0.10). Conclusions. A diagnosis of DVT upon ICU admission appears to affect clinically important outcomes including duration of ICU and hospital stay and hospital mortality. Larger, prospective studies are warranted

    Template‐Controlled Synthesis of Polyimidazolium Salts by Multiple [2+2] Cycloaddition Reactions

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    The tetrakisimidazolium salt H4‐2(Br)4, featuring a central benzene linker and 1,2,4,5‐(nBu‐imidazolium‐Ph‐CH=CH‐) substituents reacts with Ag2O in the presence of AgBF4 to yield the tetranuclear, oktakis‐NHC assembly [3](BF4)4. Cation [3]4+ features four pairs of olefins from the two tetrakis‐NHC ligands perfectly arranged for a subsequent [2+2] cycloaddition. Irradiation of [3](BF4)4 with a high pressure Hg lamp connects the two tetra‐NHC ligands through four cyclobutane linkers to give compound [4](BF4)4. Removal of the template metals yields the novel oktakisimidazolium salt H8‐5(BF4)8. The tetrakisimidazolium salt H4‐2(BF4)4 and the oktakisimidazolium salt H8‐5(BF4)8 have been used as multivalent anion receptors and their anion binding properties towards six different anions have been compared

    Revista de Vertebrados de la Estación Biológica de Doñana

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    Identification des poils des mammiferes pyreneens.Biología de caza en Falco naumannEtograma del Ciervo (Cervus elaphus) en período de no reproducciónBiología del estornino negro (Sturnus unicolor). II. Dieta del polloObservaciones sobre la actividad nocturna de reptiles en la España mediterránea occidental.Nuevo dato de herpetofagia en Tarentola mauritanicaObservación de Hieratus fasciatus en una corriente migratoria otoñal de rapaces en CeutaObservación invernal de Clamator glandarius en el valle del GuadalquivirUn dato sobre el paso del estrecho de Gibraltar por Gips fulvusDos citas de invernada de Hieräetus pennatus en el valle del GuadalquivirObservación de Sylvia nisoria en el sur de EspañaObservación de Sylvia nisoria en el sur de EspañaNoticia del hallazgo de Baleaphryne (Amphibia: anura Disoglissae) viviente en MallorcaPeer reviewe

    Deep Learning for Scene Recognition from Visual Data:A Survey

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    The use of deep learning techniques has exploded during the last few years, resulting in a direct contribution to the field of artificial intelligence. This work aims to be a review of the state-of-the-art in scene recognition with deep learning models from visual data. Scene recognition is still an emerging field in computer vision, which has been addressed from a single image and dynamic image perspective. We first give an overview of available datasets for image and video scene recognition. Later, we describe ensemble techniques introduced by research papers in the field. Finally, we give some remarks on our findings and discuss what we consider challenges in the field and future lines of research. This paper aims to be a future guide for model selection for the task of scene recognition

    Low--Energy Behavior of Two--Point Functions of Quark Currents

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    We discuss vector, axial-vector, scalar and pseudoscalar two-point functions at low and intermediate energies. We first review what is known from chiral perturbation theory, as well as from a heat kernel expansion within the context of the extended Nambu-Jona-Lasinio (ENJL) model of ref. \cite{12}. In this work we derive then these two-point functions to all orders in the momenta and to leading order in 1/Nc1/N_c. We find an improved high-energy behaviour and a general way of parametrizing them that shows relations between some of the two-point functions, which are also valid in the presence of gluonic interactions. The similarity between the shape of the experimentally known spectral functions and the ones we derive, is greatly improved with respect to those predicted by the usual constituent quark like models. We also obtain the scalar mass MS=2MQM_S = 2 M_Q independent of the regularization scheme. In the end, we calculate fully an example of a nonleptonic matrix element in the ENJL--model, the π+π0\pi^+-\pi^0 electromagnetic mass difference and find good agreement with the measured value.Comment: 37 pages + 6 uuencoded figures, CERN TH 6924/93, CPT-93/P.2917, NORDITA 93/43-N,
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