398 research outputs found
Wacky! Working papers on the Web as Corpus
No full textWacky!
Working Papers on the Web as Corpus
TABLE OF CONTENTS
Front Matter
(Includes author contact information)
A WaCky Introduction
Silvia Bernardini, Marco Baroni and Stefan Evert
Experience Building a Large Corpus for Chinese Lexicon Construction
Thomas Emerson and John O'Neil
Creating General-Purpose Corpora Using Automated Search Engine Queries
Serge Sharoff
Evaluation of Japanese Web-Based Reference Corpora: Effects of Seed Selection and Time Interval
Motoko Ueyama
Measuring Web Corpus Randomness: A Progress Report
Massimiliano Ciaramita and Marco Baroni
Using the Web as a Source of LSP Corpora in the Terminology Classroom
Sara Castagnoli
Specialized Corpora from the Web and Term Extraction for Simultaneous Interpreters
Claudio Fantinuoli
The Net for the Graphs: Towards Webgenre Representation for Corpus Linguistic Studies
Alexander Mehler and Rüdiger Glei
Ranking sewage sludge management strategies by means of Decision Support Systems: A case study
No full textFeasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools
No full textRadiotherapy commonly utilizes cone beam computed tomography (CBCT) for patient positioning and treatment monitoring. CBCT is deemed to be secure for patients, making it suitable for the delivery of fractional doses. However, limitations such as a narrow field of view, beam hardening, scattered radiation artifacts, and variability in pixel intensity hinder the direct use of raw CBCT for dose recalculation during treatment. To address this issue, reliable correction techniques are necessary to remove artifacts and remap pixel intensity into Hounsfield Units (HU) values. This study proposes a deep-learning framework for calibrating CBCT images acquired with narrow field of view (FOV) systems and demonstrates its potential use in proton treatment planning updates. Cycle-consistent generative adversarial networks (cGAN) processes raw CBCT to reduce scatter and remap HU. Monte Carlo simulation is used to generate CBCT scans, enabling the possibility to focus solely on the algorithm’s ability to reduce artifacts and cupping effects without considering intra-patient longitudinal variability and producing a fair comparison between planning CT (pCT) and calibrated CBCT dosimetry. To showcase the viability of the approach using real-world data, experiments were also conducted using real CBCT. Tests were performed on a publicly available dataset of 40 patients who received ablative radiation therapy for pancreatic cancer. The simulated CBCT calibration led to a difference in proton dosimetry of less than 2%, compared to the planning CT. The potential toxicity effect on the organs at risk decreased from about 50% (uncalibrated) up the 2% (calibrated). The gamma pass rate at 3%/2 mm produced an improvement of about 37% in replicating the prescribed dose before and after calibration (53.78% vs 90.26%). Real data also confirmed this with slightly inferior performances for the same criteria (65.36% vs 87.20%). These results may confirm that generative artificial intelligence brings the use of narrow FOV CBCT scans incrementally closer to clinical translation in proton therapy planning updates
A new system for in-room image guidance in particle therapy at CNAO
No full textThis paper describes the design, installation, and commissioning of an in-room imaging device developed at the Centro Nazionale di Adroterapia Oncologica (CNAO, Pavia, Italy). The system is an upgraded version of the one previously installed in 2014, and its design accounted for the experience gained in a decade of clinical practice of patient setup verification and correction through robotic-supported, off-isocenter in-room image guidance. The system's basic feature consists of image-based setup correction through 2D/3D and 3D/3D registration through a dedicated HW/SW platform. The major update with respect to the device already under clinical usage resides in the implementation of a functionality for extending the field of view of the reconstructed Cone Beam CT (CBCT) volume, along with improved overall safety and functional optimization. We report here details on the procedures implemented for system calibration under all imaging modalities and the results of the technical and preclinical commissioning of the device performed on two different phantoms. In the technical commissioning, specific attention was given to the assessment of the accuracy with which the six-degrees-of-freedom correction vector computed at the off-isocenter imaging position was propagated to the planned isocentric irradiation ge-ometry. During the preclinical commissioning, the entire clinical-like procedure for detecting and correcting imposed, known setup deviation was tested on an anthropomorphic radioequivalent phantom. Results showed system performance within the sub-millimeter and sub-degree range according to project specifications under each imaging modality, making it ready for clinical application
Comparison of cosmic-ray neutron sensing and gamma-ray spectrometry for non-invasive soil moisture estimation over a large cropped field
No full textSoil moisture is a key variable for supporting agriculture and forest management. This variable, however, shows strong variability in space and time and its correct quantification is still difficult in many practical applications. In the present study we compare two innovative non-invasive sensors developed for the estimation of soil moisture over large area. The first one is a new sensor based on cosmic-ray neutron sensing approach. The second one is a new gamma-ray spectrometer specifically designed for this type of application. Data have been collected at a large, cropped field at Ceregnano, Italy in 2021. The results show that both sensors well capture the local hydrological conditions, and they can be considered reliable methods for soil moisture estimations. In both sensors, however, the signal shows to also be sensitive even if to a different degree to water in the biomass, highlighting the need of corrections when fast plant growth is expected
Diagnostic utility of PLAG1 immunohistochemical determination in salivary gland tumors
No full textPLAG1 (pleomorphic adenoma gene 1) is a proto-oncogene whose overexpression is a crucial oncogenic event in salivary gland pleomorphic adenomas (PA), and in carcinoma ex-PA. The aim of the present study is to evaluate the sensitivity and the specificity of PLAG1 as a marker in the differential diagnosis of salivary gland benign and malignant tumors. We examined 101 cases, including 36 PAs, 8 myoepitheliomas, 3 basal cell adenomas, and 1 canalicular adenoma among benign tumors; 16 mucoepidermoid carcinomas, 10 adenoid cystic carcinomas, 8 acinic cell carcinomas, 8 polymorphous low-grade adenocarcinomas, 7 salivary duct carcinoma, and 4 epithelial-myoepithelial carcinoma among malignant tumors. PLAG1 was diffusely positive in 94.4% of PAs and in all myoepitheliomas, although with a lower staining intensity. Among malignant tumors, 2 (25%) polymorphous low-grade adenocarcinomas and 1 salivary duct carcinoma ex-PA were positive. In conclusion, PLAG1 is a marker with good specificity for PA and could be a useful diagnostic adjunct in the diagnosis of salivary gland tumors. In particular, this marker is negative in the most common salivary carcinomas, including adenoid cystic carcinoma, mucoepidermoid carcinoma, and acinic cell carcinoma. However, some mimickers of PA, like polymorphous low-grade adenocarcinoma, may show occasional positivity for PLAG1, thus limiting its diagnostic use. In addition, carcinoma ex-PA shows consistent positivity, and therefore should be considered as a diagnostic possibility in case of a malignant tumor with PLAG1 expression. Copyright © 2012 by Lippincott Williams & Wilkins
Educare alla cura del sé in senso ecologico e sostenibile | Education for ecological and sustainable self-care
No full textNumerosi studi nell’ambito dell’educazione dell’infanzia attestano che il bambino è attivo protagonista del proprio sviluppo e, nell’interazione con l’ambiente, conosce sé stesso, sperimenta la gioia di vivere e la responsabilità
di prendersi cura di ciò che lo circonda. Il presente contributo, senza alcuna pretesa di esaustività, pone a tema il valore della cura di sé muovendo, in una prospettiva ecologica e sostenibile, dall’ascolto del sé interiore e del linguaggio artistico-musicale per arrivare alla scoperta dell’alterità. In tale orizzonte interpretativo, a chi educa è richiesto di aver cura di sé per progettare ed offrire, secondo una logica riflessivo - trasformativa, ambienti, esperienze e percorsi educativi sostenibili che consentano al bambino di potenziare il proprio sé e di dare al contempo un significativo apporto alla costruzione nella ricerca del bene comune.Numerous studies in the field of early childhood education show that children play an active role in their own development and, interacting with the environment, they get to know themselves, experience the joy of living and
the responsibility of taking care of their surroundings. This contribution, without any pretense of being exhaustive, focuses on the value of self-care, moving, in an ecological and sustainable perspective, from listening to the
inner self and the artistic-musical language to the discovery of otherness. Within this interpretative horizon, educators are asked to take care of themselves in order to design and offer, according to a reflective-transformative logic, environments, experiences and sustainable educational paths that allow the child to strengthen his or her own self and, at the same time, make a significant contribution to the construction of the greater good
SU-F-J-80: Deformable Image Registration for Residual Organ Motion Estimation in Respiratory Gated Treatments with Scanned Carbon Ion Beams
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