People re-identification using depth and intensity information from an overhead sensor

This work presents a new people re-identification method, using depth and intensity images, both of them captured with a single static camera, located in an overhead position. The proposed solution arises from the need that exists in many areas of application to carry out identification and re-identification processes to determine, for example, the time that people remain in a certain space, while fulfilling the requirement of preserving people's privacy. This work is a novelty compared to other previous solutions, since the use of top-view images of depth and intensity allows obtaining information to perform the functions of identification and re-identification of people, maintaining their privacy and reducing occlusions. In the procedure of people identification and re-identification, only three frames of intensity and depth are used, so that the first one is obtained when the person enters the scene (frontal view), the second when it is in the central area of the scene (overhead view) and the third one when it leaves the scene (back view). In the implemented method only information from the head and shoulders of people with these three different perspectives is used. From these views three feature vectors are obtained in a simple way, two of them related to depth information and the other one related to intensity data. This increases the robustness of the method against lighting changes. The proposal has been evaluated in two different datasets and compared to other state-of-the-art proposal. The obtained results show a 96,7% success rate in re-identification, with sensors that use different operating principles, all of them obtaining depth and intensity information. Furthermore, the implemented method can work in real time on a PC, without using a GPU.Ministerio de Economía y CompetitividadAgencia Estatal de InvestigaciónUniversidad de Alcal

Fast heuristic method to detect people in frontal depth images

This paper presents a new method for detecting people using only depth images captured by a camera in a frontal position. The approach is based on first detecting all the objects present in the scene and determining their average depth (distance to the camera). Next, for each object, a 3D Region of Interest (ROI) is processed around it in order to determine if the characteristics of the object correspond to the biometric characteristics of a human head. The results obtained using three public datasets captured by three depth sensors with different spatial resolutions and different operation principle (structured light, active stereo vision and Time of Flight) are presented. These results demonstrate that our method can run in realtime using a low-cost CPU platform with a high accuracy, being the processing times smaller than 1 ms per frame for a 512 × 424 image resolution with a precision of 99.26% and smaller than 4 ms per frame for a 1280 × 720 image resolution with a precision of 99.77%

Forage production and quality of common vetch mixtures with barley, oat and triticale in four phenological stages

Para determinar la producción y la calidad del forraje de la mezcla de veza común con cebada, avena, y triticale en dos proporciones de semilla (65:35; 35:65) durante cuatro etapas fenológicas, se estableció un experimento en un diseño de bloques completos al azar con arreglo factorial (3x4x4) con cuatro repeticiones. En mezclas de cultivos la mayor producción de materia seca (MS) la obtuvo la asociación avena-veza con 16.6 t ha-1 y en proporción de cultivos la avena-veza (65:35) produjo 19.9 t ha-1, durante la etapa grano masoso (P<0.001). La mayor cantidad de proteína cruda la obtuvieron las mezclas avena-veza (178 g kg-1 MS) y triticale-veza (161 g kg-1 MS) durante la etapa de embuche. Los menores valores de fibra detergente neutra los presentaron el monocultivo veza y su mezcla con avena (35:65), durante la etapa grano maduro (P<0.001). Las menores cantidades de fibra detergente ácida lo obtuvieron los monocultivos avena, veza y triticale durante la etapa grano lechoso (P<0.001). El mayor porcentaje de nutrientes digestibles totales lo obtuvo el monocultivo veza y su mezcla con cebada (65:35) durante la etapa grano lechoso, respectivamente (P<0.001). El contenido de energía neta de lactación y el valor relativo de forraje fue mayor para el monocultivo veza (P<0.001). Se concluye que la producción y calidad del forraje en mezcla de veza con cereales (cebada, avena y triticale) dependen de la etapa de cosecha. En este estudio, la mezcla avena-veza logró mayor producción de materia seca y mejor contenido de proteína cruda. Además, el valor relativo del forraje fue más alto durante la etapa grano maduro.The objective was to determine forage yield and quality of vetch mixtures with barley, oat and triticale in two seeding ratios (65:35; 35:65) at four phenological stages. To this end, a randomized block design with factorial array (3x4x4) and four replications was established. The greatest dry matter yield was obtained from the oat-vetch mixture at the grain doughy stage of maturity (16.6 t ha-1; P<0.00), while the seed proportion with the highest production was from the oat-vetch (65:35) ratio with 19.9 t ha-1 during the dough grain stage. The highest amount of crude protein was obtained from the oat-vetch (178 g kg-1 MS) and triticale-vetch (161 g kg-1 MS) mixtures during booting stage. The monoculture vetch and oats-vetch (35:65) proportion, both had lower amounts of neutral detergent fiber at the mature grain stage (P<0.001). The oat, vetch and triticale monocultures showed the lowest acid detergent fiber during milky grain stage (P<0.001). The greatest percentage of TDN was observed in vetch monoculture and its mixtures with barley (65:35) during the milky grain stage, respectively (P<0.001). The monoculture vetch provided highest values for NEL and RFV (P<0.001). In conclusion, the forage yield and quality of vetch mixtures with barley, oat and triticale depend on the maturity stage. Also, the oat-vetch mixture showed the greatest dry matter yield and high CP concentration. In addition, forage relative value was higher during the mature grain stage

Análisis de las inundaciones en la planicie tabasqueña en el periodo 1995-2010

Se analizan los factores que influyen en las inundaciones de la planicie tabasqueña, como la ausencia de ordenamiento territorial adecuado, la deforestación de la parte alta de las cuencas, un falso concepto de disminución del régimen hidrológico asociado con la construcción de las grandes presas en el río Grijalva y el cambio climático. Para el periodo 1995-2010 se hace una revisión de las precipitaciones, escurrimientos, manejo de las presas de la cuenca del río Grijalva e inundaciones; se presentan las acciones que se han tomado para reducir los riesgos de inundación a la población durante ese periodo, incluyendo el Programa Integral de Control de Inundaciones y el Programa Hídrico Integral de Tabasco, señalando la diferencia conceptual entre ellos. El objeto del presente artículo es describir la evolución de las aproximaciones de solución al problema de reducción de desastres por inundación en la planicie Tabasqueña, la gestión de embalses y una propuesta de gestión del territorio basado en la aplicación de un modelo numérico hidráulico bidimensional y un nomograma de resistencia al vuelco

Goats as Valuable Animal Model to Test the Targeted Glutamate Supplementation upon Antral Follicle Number, Ovulation Rate, and LH-Pulsatility

The potential effect of intravenous administration of glutamate on the ovarian activity and the LH secretion pattern, considering the anestrous yearling goat as an animal model, were assessed. In late April, yearling goats (n = 20) were randomly assigned to either (1) Glutamate supplemented (GLUT; n = 10, Live Weight (LW) = 29.6 ± 1.02 kg, Body Condition (BCS) = 3.4 ± 0.2 units; i.v. supplemented with 7 mg GLUT kg−1 LW) or (2) Non-supplemented (CONT; n = 10; LW = 29.2 ± 1.07 kg, BCS = 3.5 ± 0.2 units; i.v. saline). The oats were estrus-synchronized; blood sampling (6 h × 15 min) was carried out for LH quantification. Response variables included pulsatility (PULSE), time to first pulse (TTFP), amplitude (AMPL), nadir (NAD), and area under the curve (AUC) of LH. Ovaries were ultra-sonographically scanned to assess ovulation rate (OR), number of antral follicles (AF), and total ovarian activity (TOA = OR + AF). LH-PULSE was quantified with the Munro algorithm; significant treatment x time interactions were evaluated across time. The variables LW and BCS did not differ (p > 0.05) between the experimental groups. Nevertheless, OR (1.77 vs. 0.87 ± 0.20 units), TOA (4.11 vs. 1.87 ± 0.47 units) and LH-PULSE (5.0 vs. 2.2 pulses 6 h-1) favored (p < 0.05) to the GLUT group. Our results reveal that targeted glutamate supplementation, the main central nervous system neurotransmitter, arose as an interesting strategy to enhance the hypothalamic–hypophyseal–ovarian response considering the anestrous-yearling goat as an animal model, with thought-provoking while promising translational applications

Use of satellite images to assess forage production in the rangelands of Zacatecas

La producción de forraje en los agostaderos del estado de Zacatecas es muy variable, debido a que las condiciones del clima, suelo y manejo también lo son. Debido a las grandes extensiones de pastizales con que se cuenta en el Estado y ante la necesidad de valorar la producción de materia seca en los pastizales, es necesario contar con herramientas de medición técnica y económicamente factibles. El í­ndice de vegetación de diferencia normalizada (NDVI) se ha utilizado con éxito para estimar la producción primaria de pastizales. El objetivo de este estudio fue ajustar un modelo de regresión míºltiple con base en datos de producción del estrato herbáceo y sus valores correspondientes de NDVI, para estimar espacialmente la producción de forraje en los pastizales de Zacatecas. Se obtuvo un modelo de regresión míºltiple para los tres años en conjunto, con un valor de R2 de 0.66 (PForage yields in the rangelands of Zacatecas are variable, due to soil, weather and management. The Zacatecas state has large rangeland areas which need to be continuously monitored to define a management plan of vegetation use. To estimate forage yield some easy, reliable and inexpensive measuring tools are needed. The Normalized Difference Vegetation Index (NDVI) has been used successfully to this end. The aim of this study was to set a multiple regression model based on forage production data and corresponding NDVI values, which can help to assess spatial herbage production in the rangelands of Zacatecas. Field samplings of herbage yield were carried out across the rangelands of the State for three years. NDVI data were associated to forage yields and a multiple regression model was set for estimating forage yield in Zacatecas. The R2 value was 0.66 (

Validation of quantitative flow ratio-derived virtual angioplasty with post-angioplasty fractional flow reserve—the QIMERA-I study

Producción CientíficaBackground: Quantitative flow ratio (QFR) virtual angioplasty with pre-PCI residual QFR showed better results compared with an angiographic approach to assess post-PCI functional results. However, correlation with pre-PCI residual QFR and post-PCI fractional flow reserve (FFR) is lacking. Methods: A multicenter prospective study including consecutive patients with angiographically 50–90% coronary lesions and positive QFR results. All patients were evaluated with QFR, hyperemic and non-hyperemic pressure ratios (NHPR) before and after the index PCI. Pre-PCI residual QFR (virtual angioplasty) was calculated and compared with post-PCI fractional flow reserve (FFR), QFR and NHPR. Results: A total of 84 patients with 92 treated coronary lesions were included, with a mean age of 65.5 ± 10.9 years and 59% of single vessel lesions being the left anterior descending artery in 69%. The mean vessel diameter was 2.82 ± 0.41 mm. Procedural success was achieved in all cases, with a mean number of implanted stents of 1.17 ± 0.46. The baseline QFR value was 0.69 ± 0.12 and baseline FFR and NHPR were 0.73 ± 0.08 and 0.82 ± 0.11, respectively. Mean post-PCI FFR increased to 0.87 ± 0.05 whereas residual QFR had been estimated as 0.95 ± 0.05, showing poor correlation with post-PCI FFR (0.163; 95% CI:0.078–0.386) and low diagnostic accuracy (30.9%, 95% CI:20–43%). Conclusions: In this analysis, the results of QFR-based virtual angioplasty did not seem to accurately correlate with post-PCI FFR

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group