174 research outputs found

    The approximate f-core and the utopia payoff for infinite assignment games

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    Assignment problems where both sets of agents are countably infinite, the so-called infinite assignment problems, are studied as well as the related assignment games. Further, two solutions for these games are studied. The first one is the approximate f-core for games with a finite value. This particular solution takes into account that due to organisational limitations only finite groups of agents can protest against proposals of profit distributions. Second, we study the utopia payoff, the perfect proposal in which each agent receives the maximal amount he can get. \u

    The Owen Set and the Core of Semi-Infinite Linear Production Situations

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    AMS classifications: 90D12, 90C05, 90C34.cooperative games;linear production;core;duality gap

    On the Core of Semi-Infinite Transportation Games with Divisible Goods

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    AMS classifications: 90D12; 90C05; 90C34;cooperative games

    On the Core of Semi-Infinite Transportation Games with Divisible Goods

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    AMS classifications: 90D12; 90C05; 90C34

    The Owen set and the core of semi-infinite linear production situations

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    Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning

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    Cricket has a massive global following and is ranked as the second most popular sport globally, with an estimated 2.5 billion fans. Batting requires quick decisions based on ball speed, trajectory, fielder positions, etc. Recently, computer vision and machine learning techniques have gained attention as potential tools to predict cricket strokes played by batters. This study presents a cutting-edge approach to predicting batsman strokes using computer vision and machine learning. The study analyzes eight strokes: pull, cut, cover drive, straight drive, backfoot punch, on drive, flick, and sweep. The study uses the MediaPipe library to extract features from videos and several machine learning and deep learning algorithms, including random forest (RF), support vector machine, k-nearest neighbors, decision tree, linear regression, and long short-term memory to predict the strokes. The study achieves an outstanding accuracy of 99.77% using the RF algorithm, outperforming the other algorithms used in the study. The k-fold validation of the RF model is 95.0% with a standard deviation of 0.07, highlighting the potential of computer vision and machine learning techniques for predicting batsman strokes in cricket. The study’s results could help improve coaching techniques and enhance batsmen’s performance in cricket, ultimately improving the game’s overall quality

    Burden of respiratory disease attributable to secondhand smoke exposure at home in children in Spain (2015)

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    This study aimed to estimate the number of incident cases and hospital admissions attributable to secondhand smoke (SHS) exposure at home for asthma, otitis media (OM), and lower respiratory infections (LRI) in children in Spain. The burden of respiratory disease caused by SHS exposure was estimated in terms of incident cases and hospitalized cases for asthma, OM, and LRI. Estimates were calculated using the population attributable fraction. The age-specific (0-1 year, 0-4 years, 5-11 years, and 0-11 years) prevalence of SHS exposure in children was estimated through a telephone survey performed in a representative sample of Spanish households with children in 2016. The risk estimates for all diseases were selected from international meta-analyses. The number of hospitalized cases was obtained for each disease from the Hospital Minimum Data Set provided by the Ministry of Health of Spain. Incident cases were obtained from the Global Health Data Exchange. In 2015, SHS exposure caused an estimated total of 136,403 incident cases of the following respiratory diseases: 9058 (8.5%) cases of asthma, 120,248 (8.5%) of OM, and 7097 (13.5%) of LRI in children aged 0–14 years old in Spain. Likewise, SHS exposure caused a total of 3028 hospitalized cases, with 379 (8.5%) for asthma and 167 (8.5%) for OM in children 0–11 years old, and 2482 (11.6%) for LRI in children <2 years old. The high burden of respiratory disease attributed to SHS exposure supports the need to improve protection of children against SHS exposure by extending smoke-free regulations to homes and cars.This work was supported by the Instituto de Salud Carlos III (PN I+D+I 2013–2016) and co-funded by the European Regional Development Fund (FEDER) (grant number PI13/02734). The Evaluation and Intervention Methods Service of the Public Health Agency of Barcelona and the Tobacco Control Unit of the Catalan Institute of Oncology were also partially supported by the Ministry of Universities and Research of Catalonia (AGAUR) (grant numbers 2014SGR1373 and 2014SGR319). This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 681040S

    Valorization of sugarcane bagasse ash (SCBA) with high quartz content as pozzolanic material in portland cement mixtures

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    [EN] Portland cement (OPC) production is one of the most contaminating greenhouse gas producing activities. In order to reduce OPC consumption, several alternatives are being assessed, and the use of pozzolanic material is one of them. This paper presents study on the reactivity of sugarcane bagasse ash (SCBA), a residue from sugarcane industry, as a pozzolanic material. In order to evaluate SCBA reactivity, it was mixed in pastes with hydrated lime and OPC, which were microstructurally characterised. These studies showed that SCBA presents some pozzolanic characteristics. Studies on mortars in which OPC was replaced by SCBA in the range 10¿30% were also carried out. Replacement in the range 15¿20% yielded the best behaviour in terms of compressive strength. Finally, it can be concluded this ash could be valorised despite its relative low pozzolanic reactivity.[ES] Valorización de la ceniza de bagazo de azúcar (SCBA) con alto contenido de cuarzo como material puzolánico en mezclas de cemento Portland. La producción de cemento Portland (OPC) presenta una elevada emisión de CO2. Con el objeto de reducir el consumo de OPC, se están evaluando algunas alternativas, y el uso de materiales puzolánicos es una de ellas. En este trabajo se presenta el estudio de la reactividad de la ceniza de bagazo de caña de azúcar (SCBA) como material puzolánico, un residuo procedente de la industria de la caña de azúcar. Al objeto de evaluar la reactividad de SCBA, se realizaron pastas con cal hidratada y con OPC, las cuales fueron caracterizadas microestructuralmente. Estos estudios mostraron que SCBA presenta una cierta característica puzolánica. Se llevaron a cabo estudios en morteros en los que OPC se sustituyó por SCBA en el intervalo de 10-30%. La sustitución en el intervalo 15-20% produjo el mejor comportamiento en términos de resistencia a compresión. Finalmente, se puede concluir que esta ceniza puede ser valorizada a pesar de su baja reactividad puzolánica.The authors would like to thank the Ministerio de Educacion, Cultura y Deporte of Spain (Cooperacion Interuniversitaria Program with Brazil, Project PHB-2011-0016-PC), CAPES-Brazil (Project CAPES/DGU No. 266/12), CNPq (Project 401724/2013-1) and Electron Microscopy Service of the Universitat Politecnica de Valencia.Pereira, A.; Moraes, J.; Bassan De Moraes, M.; Akasaki, J.; Tashima, M.; Soriano Martinez, L.; Monzó Balbuena, JM.... (2018). Valorization of sugarcane bagasse ash (SCBA) with high quartz content as pozzolanic material in portland cement mixtures. Materiales de Construcción. 68(330):153-163. https://doi.org/10.3989/mc.2018.00617S153163683301. World cement production. 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    Angiographic and clinical profile of patients with COVID-19 referred for coronary angiography during SARS-CoV-2 outbreak: results from a collaborative, European, multicenter registry

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    Data regarding angiographic characteristics, clinical profile, and inhospital outcomes of patients with coronavirus disease 2019 (COVID-19) referred for coronary angiography (CAG) are scarce. This is an observational study analyzing confirmed patients with COVID-19 referred for CAG from 10 European centers. We included 57 patients (mean age: 66 +/- 15 years, 82% male) , of whom 18% had previous myocardial infarction (MI) and 29% had renal insufficiency and chronic pulmonary disease. ST-segment elevation myocardial infarction (STEMI) was the most frequent indication for CAG (58%). Coronavirus disease 2019 was confirmed after CAG in 86% and classified as mild in 49%, with 21% fully asymptomatic. A culprit lesion was identified in 79% and high thrombus burden in 42%; 7% had stent thrombosis. At 40 days follow-up, 16 (28%) patients experienced a major adverse cardiovascular event (MACE): 12 deaths (92% noncardiac), 1 MI, 2 stent thrombosis, and 1 stroke. In an European multicenter registry, patients with confirmed COVID-19 infection referred for CAG during the first wave of the severe acute respiratory syndrome coronavirus 2 pandemic presented mostly with STEMI and were predominantly males with comorbidities. Severity of COVID-19 was in general noncritical and 21% were asymptomatic at the time of CAG. Culprit coronary lesions with high thrombus burden were frequently identified, with a rate of stent thrombosis of 7%. The incidence of MACE at 40 days was high (28%), mostly due to noncardiac death.Cardiolog
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