79 research outputs found
System Approach: An Integrator's Advice on a System Approach for Industrial Inkjet Implementations
No full textTroost-medecijne-wynckel der zedighe wysheyt /
No full textVingerafdruk: 165308 - # a1 a3 de : # a2 b5 rck - # b1 A e : # b2 S5 $STCVHerkomst: Vignet Ex bibliotheca Ferd. Van der HaeghenGeerebaert, A. Lijst van de gedrukte Ned. vertalingen der oude Grieksche en Latijnsche schrijvers p. 92, nr. 4Goovaerts, L. Ecrivains de l'ordre de Prémontré [O.Praem.] I, 93, nr. 1Europeana-GoogleBook
Insuffisance rénale chronique et pathologies cardio-vasculaires (suivi prospectif clinique, biologique et échocardiographique d'une cohorte de 71 patients stade 4 (clairance de 15 a 29 ml/min)
No full textREIMS-BU Santé (514542104) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF
OpenHPS: Single Floor Fingerprinting and Trajectory Dataset
No full textDescription
This dataset contains fingerprint information of WLAN access points and BLE beacons with a known position and IMU sensor data. Data was collected on the floor of the Web and Information Systems Engineering (WISE) Lab at the VUB (Pleinlaan 9, 3rd floor) with 110 training reference points and 30 test data points. Each reference point was recorded for 20 seconds in four different orientations.
More information is given in the README.pdf file included in the dataset.
File Contents
/wlan_aps.csv: Wireless access point information
/ble_beacons.csv: BLE beacon positions
/misc: Miscelanieous resources
/misc/floorplan.png: PNG version of the floorplan
/misc/floorplan_medium.png: PNG version of the floorplan (medium quality)
/misc/datapoints.svg: Training and test data points visualisation
/misc/datapoints.csv: Training data points CSV
/misc/testdatapoints.csv: Test data points CSV
/misc/spaces.geo.json: GeoJSON feature collection of symbolic spaces
/misc/documentation.css: README documentation CSS (unrelated to the dataset)
/train: Training data points (110 in 4 orientations)
/train/raw: Raw unprocessed data points (not aggregated)
/train/raw/wlan_fingerprints.csv: Raw WLAN fingerprints
/train/raw/imu_fingerprints.csv: Raw IMU data collection
/train/raw/ble_fingerprints.csv: Raw BLE fingerprints
/train/aggregated: Processed aggregated data points
/train/aggregated/wlan_fingerprints.csv: WLAN fingerprints
/train/aggregated/ble_fingerprints.csv: BLE fingerprints
/train/aggregated/imu_fingerprints.csv: IMU data collection
/train/aggregated/wlan-ble_fingerprints.csv: WLAN and BLE fingerprints merged
/test: Test data points (30 in 4 orientations)
/test/raw: Raw unprocessed test data points (not aggregated)
/test/raw/wlan_fingerprints.csv: Raw WLAN fingerprints
/test/raw/imu_fingerprints.csv: Raw IMU data collection
/test/raw/ble_fingerprints.csv: Raw BLE fingerprints
/test/aggregated: Processed aggregated data points
/test/aggregated/wlan_fingerprints.csv: WLAN fingerprints
/test/aggregated/ble_fingerprints.csv: BLE fingerprints
/test/aggregated/imu_fingerprints.csv: IMU data collection
/test/aggregated/wlan-ble_fingerprints.csv: WLAN and BLE fingerprints merged
/trajectories: Test trajectories (10)
/trajectories/???: Trajectory directory, ??? is the name of the trajectory
/trajectories/???/???_ble.csv: BLE advertisements received during the trajectory
/trajectories/???/???_imu.csv: IMU data from the trajectory
/trajectories/???/???_wlan.csv: WLAN signals received during the trajector
Intestinal absorption of calcium from yogurt in lactase-deficient subjects
No full textInternational audienc
Echocardiography to predict adverse cardiac and vascular events in patients with severe chronic kidney disease (stage 4): A prospective study
No full textSummaryBackgroundCardiovascular disease is the primary cause of mortality and morbidity among patients with chronic kidney disease.AimsTo investigate whether echocardiography can predict the occurrence of major cardiovascular events in patients with severe chronic kidney disease.PatientsPatients with stable stage 4 chronic kidney disease (estimated glomerular filtration rate 15–29mL/min/1.73m2) and followed in the nephrology department were included. Clinical, biological, electrocardiographic and echocardiographic data were recorded. Endpoint was defined as fatal or non-fatal cardiovascular event (acute coronary syndrome, acute heart failure, stroke, sustained ventricular arrhythmias, arterial thrombotic events and death).ResultsWe included 71 patients (46 men); mean age 72±14years. Mean glomerular filtration rate was 21.9±4.8mL/min/1.73m2. Over a mean follow-up of 258±30days, 18 (25%) patients reached endpoint (death in 7/18). Male sex, blood urea, atrial fibrillation, Sokolow index, left atrial size, pulmonary arterial pressure, indexed left ventricular mass and protodiastolic peak velocity of transmitral Doppler flow were significantly higher whereas left ventricular ejection fraction was significantly lower in these patients. By multivariable analysis, blood urea and left ventricular ejection fraction remained predictive of major cardiovascular event with odds ratios of 1.10 (95% confidence interval 1.02–1.18) and 0.93 (95% confidence interval 0.89–0.97), respectively. The negative predictive value was 95% when left ventricular ejection fraction was>50% with blood urea<15mmol/L.ConclusionPatients with stage 4 chronic kidney disease are at high risk of major cardiovascular events and death. Echocardiographic evaluation is effective in identifying patients at highest risk of adverse cardiac events
HLA‐DRB1*11: a strong risk factor for acquired severe ADAMTS13 deficiency‐related idiopathic thrombotic thrombocytopenic purpura in Caucasians
No full text- …
