62 research outputs found

    La situaciĂłn estratigrĂĄfica de las “margas de Bañolas” (Almela y RĂ­os 1943)

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    [EN] The "margas de Bañolas" (Almela Y RĂ­os 1943) and the marls that are placed above the "caliza de Tavertet" (Reguant 1967) in Vic-El Far region, are two distinct formations. Thece marls could be named "mareas de El Coll de Malla", and are from the Lower Biarritzian. The "margas de Bañolas" are from the Lower or Middle Lutetian.[ES] Se demuestra que las "margas de Bañolas" (Almela y Rios 1943) y las margas que se sitĂșan encima de la "caliza de Tavertet" (Reguant 1967) entre Vic y El Far son dos formaciones distintas. Estas Ășltimas que se pueden llamar "margas de El Coll de Malla", son de edad Biarritzense inferior, mientras que las "margas de Bañolas" son posiblemente del Luteciense inferior o medio.Peer reviewe

    A Dataset with Pasture Chemical Analysis and Satellite Hyperspectral and Climate Data

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    During 12 months in two paddocks with Brachiaria brizantha cv, Marandu forage, forage collection was carried out (cut flush to the ground) with gardening shears. The data were collected from April 6, 2022, until March 1, 2023, in a paddock with animals (4 Nelore breed animals, with +/- 203kg) and another paddock without animals. Two collection types were performed: every 15 days in a square of 1mÂČ randomly released in both paddocks and containment cages of 1 cubic meter, collected every 30 days, and placed in the paddock with animals. In each sample, coordinates (latitude and longitude) were collected using GPS.The laboratory chemical analysis was performed on all samples to estimate forage parameters: Crude Protein (CP), Acid Detergent Fiber (ADF), Neutral Detergent Fiber (NDF), Dry Matter content (DM), Biomass Content, Mineral Metter (MM) and, Total Digestible Nutrients (TDN). For each GPS coordinate, satellite hyperspectral and climate data were acquired. The hyperspectral data were collected using Google Earth Engine API, based on Sentinel-2 hyperspectral images. Twenty sentinel-2 bands (B01, B02, B03, B04, B05, B06, B07, 8A, B09, B11, and B12) were acquired, and eight well-known spectral indices (NDVI, NDWI, EVI, LAI, DVI, GCI, GEMI, and SAVI) were calculated and integrated into the dataset. Environmental data were acquired in two ways: using two weather APIs (Open Wheater MAP and Open-Meteo) and data from an existing meteorological station at the sample collection site. The climate data acquired are Maximum and Minimum Temperature Acquired during the day (TEMP_MAX, TEMP_MIN), Average of Solar Radiation during the day (RAD_SOL), Average average registered during the day (RAIN), Average wind speed registered during the day (WIND_SPD), Average evapotranspiration estimated of the soil during the day (EVAPOT), Average Atmospheric Pressure registered during the day (PREST_ATM) and, Average Relative humidity registered during the day (HUM_REL). Finally, data related to the day of collection (date and Day of Year - DOY), sample coordinates (latitude and longitude), and sample type (ID that identifies the type of sample): Paddock with animals:- Q1 - Q4: square 1 - 4, - G1 - G4: cage 1 - 4,Paddock without animals:- S1 or S2: square 1 or 2Were integrated into the complete dataset. In the Folder called "data" there are three files: “Field_Experiment_Data.csv”, “Field_Hypespectral_API_Climate_Data.csv,” and “Complete_DataSet.csv”. The firs file, contains just pasture chemical analysis values; in the second, hyperspectral and climate data acquired on APIs are included, and in the last, climate data obtained from the weather station is integrated. In the "src" folder, the Python script to acquire hyperspectral and climate data from APIs is called “Search_Images_and_Weather_Data.ipynb”. The file "weatherapi.py" receives data to estimate weather information from both APIs.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    The microsystems based visual prosthesis for optic nerve stimulation.

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    The microsystems based visual prosthesis (MiViP) visual prosthesis generates visual perceptions well below safety and stimulator saturation limits. These perceptions, called phosphenes, are of reasonably small size and are broadly distributed in the visual field. They can thus be used to convey useful visual information. Psychophysical evaluations are being performed in order to assess the implantee's benefits in the use of the MiViP optic nerve visual prosthesis. In a pattern-recognition task, the performance improved regularly with practice with an increasing score and a decreasing delay to recognition. These observations open the way toward an evaluation of general mobility improvement with the portable system. In conclusion, the results obtained so far still support the potential usefulness of the optic nerve visual prosthesis. A low-resolution artificial vision can be expected from the prosthesis after extensive training

    Suivi de la grossesse dans le cadre du paludisme: À propos de deux observations

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    Whether or not a pregnant women should travel to regions where malaria is highly endemic will always be open to question as no prophlaxis can guarantee complete protection in every case. No chemoprophylaxis is 100 % effective or entirely without side-effects, particularly for pregnant women whose immune status provides a favourable environment for the emergence of this parasitosis. The advice given will depend on the country and the region, a possible resistance of the parasite to treatment, the season, the length and circumstances of the stay and individual factors. The choice of treatment is very limited as many therapies are contra-indicated in pregnancy; in addition it is extremely important to give a sufficiently clear explanation concerning precautions and prophylaxis as well as of how a possible bout of malaria should be treated, particularly in case of extended stay
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