414 research outputs found
An Open Source Quantitative Evaluation Framework for Automatic Video Summarization Algorithms
The creation, consumption, and manipulation of video play a central role in everyday life as the amount of video data is growing at an exponential rate. Video summarization consists on producing a condensed output from a video that allows humans to rapidly understand and browse the content of the original source. Although there are several evaluation approaches proposed in the literature, multiple challenges make the quantitative evaluation of a summarization a complex process. In this paper we present a completely open video summarization evaluation framework that is compatible with existing datasets and published results. Standard metrics are considered and a new metric that captures unbalanced-class video summarization evaluation is proposed. Two legacy datasets are integrated in a standard format. Finally, new quantitative results based on already published algorithms are presented.Sociedad Argentina de Informática e Investigación Operativ
An Open Source Quantitative Evaluation Framework for Automatic Video Summarization Algorithms
The creation, consumption, and manipulation of video play a central role in everyday life as the amount of video data is growing at an exponential rate. Video summarization consists on producing a condensed output from a video that allows humans to rapidly understand and browse the content of the original source. Although there are several evaluation approaches proposed in the literature, multiple challenges make the quantitative evaluation of a summarization a complex process. In this paper we present a completely open video summarization evaluation framework that is compatible with existing datasets and published results. Standard metrics are considered and a new metric that captures unbalanced-class video summarization evaluation is proposed. Two legacy datasets are integrated in a standard format. Finally, new quantitative results based on already published algorithms are presented.Sociedad Argentina de Informática e Investigación Operativ
Sistema web para asistencia en el manejo integrado de malezas
El Manejo Integrado de Malezas (MIM) involucra la combinación deprácticas quÃmicas, mecánicas y culturales con el fin de mantener a laspoblaciones de malezas controladas. El principal objetivo de estas prácticas esmaximizar la rentabilidad de las unidades de producción agrÃcola asegurando lasustentabilidad medioambiental. La filosofÃa MIM surgió como una reacción alos grandes problemas económicos, ambientales y sociales resultantes delempleo exclusivo de herbicidas que caracterizo la producción agronómica en las´ultimas décadas a nivel global. La aparición de poblaciones de malezasresistentes obliga a incrementar las dosis y las frecuencias de aplicación,potenciando los problemas antes mencionados. En este contexto, lacombinación de agroquÃmicos junto con técnicas culturales (empleo dediferentes cultivares, densidades de siembra, fechas de siembra, rotaciones) yeventualmente realización de labranzas, se presenta como una alternativa demanejo atractivo tendiente a mitigar los impactos negativos de la agriculturaindustrial sin alterar significativamente la economÃa del sector.Las decisiones se pueden basar en una gran cantidad de opciones posibles yel factor climático agrega complejidad adicional, tornando desafiante el manejoincluso dentro de una sola temporada agronómica. El empleo de modelosmatemáticos de simulación, alimentados con información ajustada al sistemacultivo/maleza bajo estudio y vinculados con pronósticos del estado del tiempose presentan como herramientas interesantes para asistir en la toma dedecisiones. Sin embargo, estos modelos no suelen estar disponibles de formapráctica para personas no especializadas en sistemas informáticos o sin accesoa software especÃfico. Este trabajo presenta un sistema web que automatiza la ejecución dealgunos modelos y la visualización de sus resultados. El mismo puede accederseen un sitio de internet público.Fil: DÃaz, Ariel I.. Universidad Tecnológica Nacional. Facultad Regional BahÃa Blanca; ArgentinaFil: Balmaceda, Leandro. Universidad Tecnológica Nacional. Facultad Regional BahÃa Blanca; ArgentinaFil: Rostagno, Adrian. Universidad Tecnológica Nacional. Facultad Regional BahÃa Blanca; ArgentinaFil: Aggio, Santiago Lujan. Universidad Tecnológica Nacional. Facultad Regional BahÃa Blanca; Argentina. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - BahÃa Blanca; ArgentinaFil: Molinari, Franco Ariel. Universidad Nacional del Sur. Departamento de AgronomÃa; Argentina. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - BahÃa Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Damiani, LucÃa. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - BahÃa Blanca. Planta Piloto de IngenierÃa QuÃmica. Universidad Nacional del Sur. Planta Piloto de IngenierÃa QuÃmica; ArgentinaFil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de AgronomÃa; Argentina. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - BahÃa Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - BahÃa Blanca. Planta Piloto de IngenierÃa QuÃmica. Universidad Nacional del Sur. Planta Piloto de IngenierÃa QuÃmica; ArgentinaFil: Iparraguirre, Javier. Universidad Tecnológica Nacional. Facultad Regional BahÃa Blanca; ArgentinaXII Congreso Argentino de AgroInformática y 49 Jornadas Argentinas de Informática e Investigación OperativaBuenos AiresArgentinaSociedad Argentina de Informática e Investigación Operativ
Determination of the Ileal Digestibility of Proteins and Amino Acids from Biscuit Bran and Wheat Gluten in Swine
To determine the apparent (AIDCP) and standardized (SIDCP) ileal digestibility coefficients of the protein and the apparent (AIDAA) and standardized (SIDAA) ileal digestibility coefficients of amino acids from biscuit bran and wheat gluten were used six castrated males swine in growth, on average weight from 22 to 60kg, with a T cannula on the terminal ileum, distributed in a randomized block design with three treatments, two periods and two repetitions per period. Each animal was considered a repeat. Treatments consisted of a protein free diet (PFD) for determination of the endogenous loss, PFD + biscuit bran (BB) and PFD + wheat gluten (WG). Each period lasted for six days, five days of adaptation of animals to the diet and 24 hours of collection of ileal digestion. The AIDCP of BB and WG were 82.33 and 90.07%, respectively and the SIDCP of BB and WG were 89.17% and 95.60%, respectively. The SIDAA were on average 80.84% (lysine), 83.94% (threonine), 90.57% (methionine + cystine) and 87.15% (valine) to BB. The SIDAA for the WG were on average 91.01% (lysine), 90.97% (threonine), 95.82% (methionine + cystine) and 90.04% (valine). The SID of protein and essential amino acids and non-essential elements identified in this study were on average, respectively, 89.17%, 88.54% and 89.20% of biscuit branand 95.60%, 93.71% and 89.20% of wheat gluten
Effect of the addition of β-mannanase on the performance, metabolizable energy, amino acid digestibility coefficients, and immune functions of broilers fed different nutritional levels
Three experiments were conducted to evaluate the effect of β-mannanase (BM) supplementation on the performance, metabolizable energy, amino acid digestibility, and immune function of broilers. A total of 1,600 broilers were randomly distributed in a 4 × 2 factorial arrangement (4 nutritional levels × 0 or 500 g/ton BM), with 10 replicates and 20 broilers per pen. The same design was used in the energy and digestibility experiments with 8 and 6 replicates, respectively, and 6 broilers per pen. The nutritional levels (NL) were formulated to meet the nutritional requirements of broilers (NL1); reductions of 100 kcal metabolizable energy (NL2); 3% of the total amino acids (NL3); and 100 kcal metabolizable energy and 3% total amino acids (NL4) from NL1. The serum immunoglobulin (Ig) concentration was determined in two broilers per pen, and these broilers were slaughtered to determine the relative weight of spleen, thymus, and bursa of Fabricius. Throughout the experiment, the lower nutritional levels reduced (P < 0.05) body weight gain (BWG) and increased (P < 0.05) feed conversion (FCR) for the NL4 treatment. The BM increased (P < 0.05) the BWG values and improved (P < 0.05) the FCR of the broilers. The apparent metabolizable energy corrected for nitrogen balance (AMEn) values were reduced (P < 0.05) for NL2 and NL3. The BM increased (P < 0.05) the AMEn values and reduced (P < 0.05) the excreted nitrogen. NL3 and NL4 reduced (P < 0.05) the true ileal digestibility coefficients (TIDc) of the amino acids cystine and glycine, and BM increased (P < 0.05) the TIDc for all amino acids. The addition of BM reduced (P < 0.05) the relative weights of the spleen and bursa. NL2 increased (P < 0.05) the Ig values, whereas BM reduced (P < 0.05) the serum IgA, IgG, and IgM values of the broilers. This study indicates that using suboptimal nutrient levels leads to losses in production parameters, whereas BM-supplemented diets were effective in improving performance, energy values, and TIDc levels of amino acids and immune response of broilers
Transport and Holding at the Abattoir: A Critical Control Point for Salmonella in Market Swine?
The study objective was to compare on-farm and abattoir collected fecal and tissue samples to estimate transport and holding effects on Salmonella contamination of market swine. One-half of study pigs from each commercial finishing herd ( 6) were necropsied on-farm and the other half at a commercial abattoir. The farm Salmonella prevalence was estimated at 5.3% based on culture of fecal samples, ileocecal lymph nodes, and cecal contents. The abattoir Salmonella prevalence estimate was 39.9% based on the same sample types. This study demonstrates that transport and holding at the abattoir is a critical control point for Salmonella contamination
Estimation of the on-farm Salmoenlla enterica prevalence in market swine
The objective of this study was to compare fecal culture, meat juice ELISA, and culture of abattoir collected tissues for their ability to accurately estimate the on-farm prevalence of Salmonella enterica in market swine. Six herds, depopulated in the Accelerated Pseudorabies Eradication Program, were used. One-half of study pigs (50) were necropsied on-farm; the other half (50) at a commercial abattoir. The true farm prevalence (TFP), based on positive ileocecal lymph nodes, cecal contents, or fecal samples was estimated at 5.3%. This estimate was higher than any provided by a single sample type cultured. The seroprevalence (meat juice ELISA) was estimated at 20% using a cutoff of OD% \u3e 40. Prevalence estimates from abattoir collected samples were much higher than the TFP; 39.9% of pigs were culture positive. This study shows that a single round of fecal collections will underestimate the true Salmonella status of a herd and that samples collected at the abattoir will overestimate the on-farm prevalence
Application of an original RT-PCR–ELISA multiplex assay for MDR1 and MRP, along with p53 determination in node-positive breast cancer patients
The long-term prognostic value of tumoural MDR1 and MRP, along with p53 and other classical parameters, was analysed on 85 node-positive breast cancer patients receiving anthracycline-based adjuvant therapy. All patients underwent tumour resection plus irradiation and adjuvant chemotherapy (the majority receiving fluorouracil–epirubicin–cyclophosphamide). Median follow-up for the 54 alive patients was 7.8 years. Mean age was 53.7 years (range 28–79) and 54 patients were post-menopausal. MDR1 and MRP expression were quantified according to an original reverse transcription polymerase chain reaction multiplex assay with colourimetric enzyme-linked immunosorbent assay detection(β2-microglobulin as control). P53 protein was analysed using an immunoluminometric assay (Sangtec). MDR1 expression varied within an 11-fold range (mean 94, median 83), MRP within a 45-fold range (mean 315, median 242) and p53 protein from the limit of detection (0.002 ng mg−1) up to 35.71 ng mg−1(mean 1.18, median 0.13 ng mg−1). P53 protein was significantly higher in oestrogen receptor (ER)-negative than in ER-positive tumours (P = 0.039). The higher the p53, the lower the MDR1 expression (P = 0.015, r = –0.27). P53 was not linked to progesterone receptor (PR) status, S phase fraction, or MRP. Significantly greater MDR1 expression was observed in grade I tumours (P = 0.029). No relationship was observed between MDR1 and MRP. Neither MDR1 nor MRP was linked to ER or PR status. Unlike MDR1, MRP was correlated with the S phase: the greater the MRP, the lower the S phase (P = 0.006, r = –0.42). Univariate Cox analyses revealed that MDR1, MRP, p53 and S phase had no significant influence on progression-free or specific survival. A tendency suggested that the greater the p53, the shorter the progression-free survival (P = 0.076 as continuous and 0.069 as dichotomous). © 2000 Cancer Research Campaig
Impact of Commercial Pre-Harvest Processes on the Prevalenceof Salmonella enterica in Cull Sows
This study examined the impact of transport and lairage onS. enterica prevalence in cull sows under commercial conditions. Five sample periods yielded 181 selected culls. Fecal samples were collected at the production site and at a commercial collection point where sows were sorted. At the selected abattoir, multiple slaughter samples were collected for S. enterica culture. After transport and lairage 41% of cull sows yielded S. enterica in one or more tissues, whereas only 3% and 2% of these animals were postive at the production site and collection point, respectively. The S. enterica serotypes found at the production site and collection point were found at the abattoir, as were an additional 13 serotypes. Transport and lairage practices may contribute to an increased S. enterica contamination immediately prior to slaughter
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