177,410 research outputs found
Data for: Alloctonous DOM in open sea waters of the Mediterranean Sea: New insights from optical properties
No full textSamples for DOC, CDOM and FDOM analysis were collected in open sea waters of the Med Sea during 3 oceanographic cruises carried out in March/April 2008, August 2010 and November 2011 on board the R/V Urania of the Italian National Research Council (CNR).DOC measurements were carried out with a Shimadzu TOC-VCSN, by high-temperature catalytic oxidation. Samples were acidified with HCl 2N and sparged for 3 min with CO2-free pure air in order to remove inorganic carbon. From 3 to 5 replicate injections were performed until the analytical precision was lower than 1% (±1 μM). A 5-point calibration curve was done by injecting standard solutions of potassium hydrogen phthalate between 20 and 130 μM. At the beginning and at the end of each analytical day, the system blank was measured using Milli-Q water and the functioning of the instrument was checked by comparison of data with DOC Consensus Reference Material (CRM) (Hansell, 2005) (batch#7-2007, batch#10-2010/Lot#5-10, batch#11-2011/Lot#03-11, Consensus values: 41 - 44 µM, measured concentration: 41.9 ± 1.3 µM, standard error = 0.23 µM, n = 39). For further analytical details see Santinelli et al. (2010). CDOM absorbance was measured throughout the UV and visible spectral domains (230-700 nm) with a resolution of 0.5 nm, by using a JASCO Spectrophotometer V-550 and a 10 cm quartz cuvette. Fluorescence Excitation Emission Matrixes (EEMs) were recorded by using the Fluoromax4 spectrofluorometer (model FP770 Horiba) with a 1 x 1 cm quartz cuvette in the range 250-450 nm for the excitation and 300-600 nm for the emission. The EEMs were corrected for instrumental bias and subtracted by the EEM of Milli-Q water measured in the same conditions (blank). The Rayleigh and Raman scatter peaks were removed by using the monotone cubic interpolation (shape-preserving) (Carlson and Fritsch, 1989), since water subtraction did not completely remove their signals (Gonnelli et al., 2016; Margolin et al., 2018). EEMs were normalized to the water Raman signal, dividing the fluorescence by the integrated Raman band of Milli-Q water (ex=350 nm, em=371-428 nm), measured the same day of the analysis (Lawaetz and Stedmon, 2009). The fluorescence intensity is therefore reported as equivalent water Raman Units (R.U.). This standardized method was chosen because it is rapid, simple and suitable for routine measurements. No significant variation was observed in the integral of the Raman peak from repeated measurements during the period of the analysis (< 2%). In order to check the repeatability of our measurements the same sample was analyzed 5 times during a period of 3 months, the results showed that the variation was less than 2 % for all the components
Spatial patterns of sedimentary organic carbon signatures along Emilia-Romagna Region (North West Adriatic Sea)
No full textEnergy-efficient Object Detection and Tracking on Embedded Smart Cameras by Hardware-level Operations at the Image Sensor
No full textEmbedded smart cameras have limited processing power, memory and energy. In this paper, we introduce two methodologies to increase the energy-efficiency and the battery-life of an embedded smart camera by hardware-level operations when performing object detection and tracking. We use the CITRIC platform as our embedded smart camera. We first perform down-sampling at hardware-level on the microcontroller of the image sensor rather than performing software-level down-sampling at the main microprocessor of the camera board. In addition, instead of performing object detection on whole image, we first estimate the location of the target in the next frame, form a search region around it, then crop the next frame by using the HREF and VSYNC signals at the microcontrollerof the image sensor, and perform detection and tracking only in the cropped search region. Thus, the amount of data that is moved from the image sensor to the main memory at each frame, is greatly reduced. Thanks to reduced data transfer, better use of the memory resources and not occupying the main microprocessor with image down-sampling and cropping tasks, we obtain significant savings in energy consumption and battery-life. Experimental results show that hardware-level down-sampling and cropping, and performing detection in cropped regions provide 54:14% decrease in energy consumption, and 121:25% increase in battery-life compared to performing software-level downsampling and processing whole frame
Nodular hyperplasia of the prostate: quantitative evaluation of secretrory cell changes after treatment with finasteride.
No full textSTUDY DESIGN: Secretory cell nuclear and nucleolar measurements were performed with an image analyzer in hematoxylin-and-eosin-stained sections of 20 untreated and 20 finasteride-treated cases of nodular hyperplasia. An immunoperoxidase method was used to stain the secretory cells with a monoclonal antibody-directed, anti-prostate specific antigen (PSA). The size of prostates was determined by transrectal ultrasound. For both groups the serum PSA values were determined.
RESULTS: After six months of treatment with finasteride, the prostates shrank by approximately 20% with the therapeutic regimen (as determined by transrectal ultrasound), whereas the serum PSA values decreased by 30% (before therapy, < 4.00 ng/mL). The secretory cells appeared smaller than those from the untreated group of patients, and the cytoplasm staining of the PSA marker was slightly diminished. Karyometric analyses showed that the nuclear and nucleolar size were smaller in comparison with the controls. In particular, the mean nuclear and nucleolar area in the treated group were, respectively, 34.12 and 1.424 micron 2, whereas in the untreated group the values were 40.46 and 2.261.
CONCLUSION: Reduced androgen stimulation after treatment with finasteride induces involution of secretory cells. This may be responsible for the decrease in the serum PSA level and may contribute to the reduction in prostate size
'Mos geometricus' et attention après Descartes. Spinoza, Malebranche et la méthode de la philosophie
No full textA general-purpose sensing floor architecture for human-environment interaction
No full textSmart environments are now designed as natural interfaces to capture and understand human behavior without a need for explicit human-computer interaction. In this article, we present a general-purpose architecture that acquires and understands human behaviors through a sensing floor. The pressure field generated by moving people is captured and analyzed. Specific actions and events are then detected by a low-level processing engine and sent to high-level interfaces providing different functions. The proposed architecture and sensors are modular, general-purpose, cheap, and suitable for both small- and large-area coverage. Some sample entertainment and virtual reality applications that we developed to test the platform are presented
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Mutual Calibration of Camera Motes and RFIDs for People Localization and Identification
No full textAchieving both localization and identication of people ina wide open area using only cameras can be a challengingtask, which requires cross-cutting requirements : high reso-lution for identication, whereas low resolution for having awide coverage of the localization. Consequently, this paperproposes the joint use of cameras (only devoted to local-ization) and RFID sensors (devoted to identication) withthe nal objective of detecting and localizing intruders. Toground the observations on a common coordinate system,a calibration procedure is dened. This procedure only de-mands a training phase with a single person moving in thescene holding a RFID tag. Although preliminary, the resultsdemonstrate that this calibration is sufficiently accurate tobe applied whenever dierent scenarios, where area of over-lap between the eld of view (FoV) of a camera and theField of sense" (FoS) of a (blind) sensor must be efficientlydetermined
Player Performance Model, comparison between youth professional (U-21) and professional first team football players: Different external load or not?
No full textDuring last years the use of new technologies, become crucial to define physical performance, tactics, and technique in football. The physical performance during matches is detected, using video-analysis or GPS system. The aim of this study was to compare external load performance from matches between young professional players (U-21) and professional players from European leagues. Data from U-21 was collected using K-Sport 10 Hz GPS (K-Sport Universal, Italy) using as a sample of three Italian youth teams. Data from professional players are taken from video-analysis gathered from the literature. Were analysed 10 games for each youth teams from Italian Primavera Championship 2016/2017. For every game was used one 10 Hz GPS (K-Sport Universal, Italy) for each player, except goalkeeper and were recorded only data from players that perform all the game
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