881 resultados para Automated segmentation


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After advocating flexibilization of non-standard work contracts for many years, some European and international institutions and several policy makers now indicate the standard employment relationship and its regulation as a cause of segmentation between the labour market of "guaranteed" insiders, employed under permanent contracts with effective protection against unfair dismissal, and the market of the “not-guaranteed” outsiders, working with non-standard contracts. Reforms of employment legislation are therefore being promoted and approved in different countries, allegedly aiming to balance the legal protection afforded to standard and non-standard workers. This article firstly argues that this approach is flawed as it oversimplifies reasons of segmentation as it concentrates on an “insiders-outsiders” discourse that cannot easily be transplanted in continental Europe. After reviewing current legislative changes in Italy, Spain and Portugal, it is then argued that lawmakers are focused on “deregulation” rather than “balancing protection” when approving recent reforms. Finally, the mainstream approach to segmentation and some of its derivative proposals, such as calls to introduce a “single permanent contract”, are called into question, as they seem to neglect the essential role of job protection in underpinning the effectiveness of fundamental and constitutional rights at the workplace.

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Con il seguente documento si vuole esaminare l'utilita trasportistica dei sistemi di trasporto del tipo Automated People Mover passando da un inquadramento storico generale all'uso dei sistemi nell'ambito aeroportuale dall'inizio degli anni '60 fino ai tempi piu moderni. Dopo avere analizzato le configurazioni e le caratteristiche tipiche dei sistemi APM in ambito aeroportuale si definira quale tipologia di infrastruttura e stata privilegiata negli aeroporti europei e mondiali. Successivamente si prendera in esame lo stato dell'arte dei sistemi APM installati nell'aeroporto principale di Parigi e uno dei piu trafficati del mondo, l'Aeroporto Internazionale Charles de Gaulle; e del sistema installato nell'Aeroporto Internazionale Galileo Galilei di Pisa.

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-tabletutorial- illustrates how Stata can be used to export statistical results and generate customized reports. Part 1 explains how results from Stata routines can be accessed and how they can be exported using the -file- comand or a wrapper such as, e.g., -mat2txt-. Part 2 shows how model estimation results can be archived using -estwrite- and how models can be tabulated and exported to LaTeX, MS Excel, or MS Word using -estout-. Part 3 illustrates how to set up automatic reports in LaTeX or MS Word. The tutorial is based on a talk given at CEPS/INSTEAD in Luxembourg in October 2008. After install, type -help tabletutorial- to start the tutorial (in Stata 8, type -whelp tabletutorial-). The -mat2txt-, -estwrite-, and -estout- packages, also available from SSC, are required to run the examples.

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BACKGROUND AND PURPOSE In clinical diagnosis, medical image segmentation plays a key role in the analysis of pathological regions. Despite advances in automatic and semi-automatic segmentation techniques, time-effective correction tools are commonly needed to improve segmentation results. Therefore, these tools must provide faster corrections with a lower number of interactions, and a user-independent solution to reduce the time frame between image acquisition and diagnosis. METHODS We present a new interactive method for correcting image segmentations. Our method provides 3D shape corrections through 2D interactions. This approach enables an intuitive and natural corrections of 3D segmentation results. The developed method has been implemented into a software tool and has been evaluated for the task of lumbar muscle and knee joint segmentations from MR images. RESULTS Experimental results show that full segmentation corrections could be performed within an average correction time of 5.5±3.3 minutes and an average of 56.5±33.1 user interactions, while maintaining the quality of the final segmentation result within an average Dice coefficient of 0.92±0.02 for both anatomies. In addition, for users with different levels of expertise, our method yields a correction time and number of interaction decrease from 38±19.2 minutes to 6.4±4.3 minutes, and 339±157.1 to 67.7±39.6 interactions, respectively.

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This study was carried out to detect differences in locomotion and feeding behavior in lame (group L; n = 41; gait score ≥ 2.5) and non-lame (group C; n = 12; gait score ≤ 2) multiparous Holstein cows in a cross-sectional study design. A model for automatic lameness detection was created, using data from accelerometers attached to the hind limbs and noseband sensors attached to the head. Each cow's gait was videotaped and scored on a 5-point scale before and after a period of 3 consecutive days of behavioral data recording. The mean value of 3 independent experienced observers was taken as a definite gait score and considered to be the gold standard. For statistical analysis, data from the noseband sensor and one of two accelerometers per cow (randomly selected) of 2 out of 3 randomly selected days was used. For comparison between group L and group C, the T-test, the Aspin-Welch Test and the Wilcoxon Test were used. The sensitivity and specificity for lameness detection was determined with logistic regression and ROC-analysis. Group L compared to group C had significantly lower eating and ruminating time, fewer eating chews, ruminating chews and ruminating boluses, longer lying time and lying bout duration, lower standing time, fewer standing and walking bouts, fewer, slower and shorter strides and a lower walking speed. The model considering the number of standing bouts and walking speed was the best predictor of cows being lame with a sensitivity of 90.2% and specificity of 91.7%. Sensitivity and specificity of the lameness detection model were considered to be very high, even without the use of halter data. It was concluded that under the conditions of the study farm, accelerometer data were suitable for accurately distinguishing between lame and non-lame dairy cows, even in cases of slight lameness with a gait score of 2.5.

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Federal Highway Administration, Office of Safety and Traffic Operations, Washington, D.C.

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Mode of access: Internet.

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Mode of access: Internet.

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Turner-Fairbank Highway Research Center, Office of Safety Research and Development, McLean, Va.

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Includes bibliographical references.

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Federal Highway Administration, Washington, D.C.

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Federal Highway Administration, Washington, D.C.