Evaluating automatic cross-domain Dutch semantic role annotation

In this paper we present the first corpus where one million Dutch words from a variety of text genres have been annotated with semantic roles. 500K have been completely manually verified and used as training material to automatically label another 500K. All data has been annotated following an adapted version of the PropBank guidelines. The corpus’s rich text type diversity and the availability of manually verified syntactic dependency structures allowed us to experiment with an existing semantic role labeler for Dutch. In order to test the system’s portability across various domains, we experimented with training on individual domains and compared this with training on multiple domains by adding more data. Our results show that training on large data sets is necessary but that including genre-specific training material is also crucial to optimize classification. We observed that a small amount of in-domain training data is already sufficient to improve our semantic role labeler

The Language Technologies for Lifelong Learning Project

Berlanga, A. J., Van Rosmalen, P., Trausan-Matu, S., Monachesi, P., & Burek, G. (2009). The Language Technologies for Lifelong Learning Project. In I. Aedo., N. Chen, Kinshuk, D. Sampson & L. Zaitseva (Eds.), Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies (ICALT2009) (pp. 624-625). July, 14-18, 2009, Riga, Latvia: IEEE.This poster presents an ongoing European project: Language Technologies for Lifelong Learning (LTfLL). The aim of the project is to create a next-generation of support and advice services to enhance individual and collaborative building of competences and knowledge creation in educational and organizational settings. The project makes extensive use of language technologies and cognitive models in the services to face a number of learning specific problems

D7.4 Validation 4

Armitt, G., Stoyanov, S., Hensgens, J., Smithies, A., Braidman, I., Mauerhofer, C., Osenova, P., Simov, K., Berlanga, A. J., Van Bruggen, J., Greller, W., Rebedea, T., Posea, V., Trausan-Matu, S., Dupre, D., Salem, H., Dessus, P., Loiseau, M., Westerhout, E., Monachesi, P., Koblische, R., Hoisl, B., Haley, D., & Wild, F. (2011). D7.4 Validation 4. LTfLL-project.This deliverable describes the objectives, approach, planning and results of the third pilot round, in which both individual and threaded services underwent validation. The two goals of this round were to provide input to the LTfLL exploitation plan and roadmap (deliverable 2.5). 531 participants (316 learners) took part in the pilots, which used LTfLL services based on five different languages. The average timespan of the pilots was three weeks and involved learners, tutors, teaching managers, the LTfLL team and Technology Enhanced Learning experts. The validation approach was based on Prototypical Validation Topics derived from the Round 2 validation topics, which refocused the validation topics on exploitation and allowed conclusions to be drawn across all services. Results demonstrated the areas of strength and weakness of each service, informing the selling points and barriers to adoption within the exploitation strategy, as well as suggesting possible further contexts of use. All services were noted to have high relevance in addressing burning issues for organizations, but further improvements to accuracy from a user viewpoint are required. Results on future enhancements to improve likelihood of adoption contribute to the roadmap. Results also provide an indication of each service's current readiness for adoption and provided insights into transferability issues. The overall conclusion is that some LTfLL services are more ready than others for adoption now, with some being currently more suited to sustainability in research settings.The work on this publication has been sponsored by the LTfLL STREP that is funded by the European Commission's 7th Framework Programme. Contract 212578 [http://www.ltfll-project.org

An environmental dependence of the physical and structural properties in the Hydra cluster galaxies

The nearby Hydra cluster (∼50 Mpc) is an ideal laboratory to understand, in detail, the influence of the environment on the morphology and quenching of galaxies in dense environments. We study the Hydra cluster galaxies in the inner regions (1R200) of the cluster using data from the Southern Photometric Local Universe Survey, which uses 12 narrow and broad-band filters in the visible region of the spectrum. We analyse structural (Sérsic index, effective radius) and physical (colours, stellar masses, and star formation rates) properties. Based on this analysis, we find that ∼88 per cent of the Hydra cluster galaxies are quenched. Using the Dressler–Schectman test approach, we also find that the cluster shows possible substructures. Our analysis of the phase-space diagram together with density-based spatial clustering algorithm indicates that Hydra shows an additional substructure that appears to be in front of the cluster centre, which is still falling into it. Our results, thus, suggest that the Hydra cluster might not be relaxed. We analyse the median Sérsic index as a function of wavelength and find that for red [(u − r) ≥2.3] and early-type galaxies it displays a slight increase towards redder filters (13 and 18 per cent, for red and early type, respectively), whereas for blue + green [(u − r)<2.3] galaxies it remains constant. Late-type galaxies show a small decrease of the median Sérsic index towards redder filters. Also, the Sérsic index of galaxies, and thus their structural properties, do not significantly vary as a function of clustercentric distance and density within the cluster; and this is the case regardless of the filter.CL-D acknowledges scholarship from CONICYT-PFCHA/Doctorado Nacional/2019-21191938. CL-D and AM acknowledge support from FONDECYT Regular grant 1181797. CL-D acknowledges also the support given by the ‘Vicerrectoría de Investigacion de la Universidad de La Serena’ program ‘Apoyo al fortalecimiento de grupos de investigacion’. CL-D and AC acknowledges to Steven Bamford and Boris Haeussler with the MegaMorph project. CL-D and DP acknowledge support from fellowship ‘Becas Doctorales Institucionales ULS’, granted by the ‘Vicerrectoría de Investigacion y Postgrado de la Universidad de La Serena’. AM and DP acknowledge funding from the Max Planck Society through a ‘Partner Group’ grant. DP acknowledges support from FONDECYT Regular grant 1181264. This work has used the computing facilities of the Laboratory of Astroinformatics (Instituto de Astronomia, Geofísica e Ciencias Atmosféricas, Departamento de Astronomia/USP, NAT/Unicsul), whose purchase was made possible by FAPESP (grant 2009/54006-4) and the INCT-A. YJ acknowledges financial support from CONICYT PAI (Concurso Nacional de Inserción en la Academia 2017) No. 79170132 and FONDECYT Iniciación 2018 No. 11180558. LS thanks the FAPESP scholarship grant 2016/21664-2. AAC acknowledges support from FAPERJ (grant E26/203.186/2016), CNPq (grants 304971/2016-2 and 401669/2016-5), and the Universidad de Alicante (contract UATALENTO18-02). AMB thanks the FAPESP scholarship grant 2014/11806-9. RA acknowedges support from ANID FONDECYT Regular grant 1202007

Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

Background: Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage 653 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage 653 CKD in a large cohort of patients affected by T1DM. Methods: A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici Diabetologi, AMD) initiative constitutes the study population. Urinary albumin excretion (ACR) and estimated GFR (eGFR) were retrieved and analyzed. The incidence of stage 653 CKD (eGFR &lt; 60 mL/min/1.73 m2) or eGFR reduction &gt; 30% from baseline was evaluated. Results: The mean estimated GFR was 98 \ub1 17 mL/min/1.73m2 and the proportion of patients with albuminuria was 15.3% (n = 654) at baseline. About 8% (n = 337) of patients developed one of the two renal endpoints during the 4-year follow-up period. Age, albuminuria (micro or macro) and baseline eGFR &lt; 90 ml/min/m2 were independent risk factors for stage 653 CKD and renal function worsening. When compared to patients with eGFR &gt; 90 ml/min/1.73m2 and normoalbuminuria, those with albuminuria at baseline had a 1.69 greater risk of reaching stage 3 CKD, while patients with mild eGFR reduction (i.e. eGFR between 90 and 60 mL/min/1.73 m2) show a 3.81 greater risk that rose to 8.24 for those patients with albuminuria and mild eGFR reduction at baseline. Conclusions: Albuminuria and eGFR reduction represent independent risk factors for incident stage 653 CKD in T1DM patients. The simultaneous occurrence of reduced eGFR and albuminuria have a synergistic effect on renal function worsening

Emergenza sismica nel centro Italia 2016-2017. Secondo rapporto del gruppo operativo SISMIKO. Sviluppo e mantenimento della rete sismica mobile a seguito del terremoto di Amatrice Mw 6.0 (24 agosto 2016, Italia centrale)

La rete sismica temporanea installata dal gruppo operativo INGV SISMIKO a seguito del terremoto del 24 agosto 2016 tra i Monti della Laga e la Valnerina, è stata ampliata nel settore settentrionale a seguito dei forti terremoti avvenuti alla fine del mese di ottobre 2016. Successivamente alle due scosse di Mw 5.4 e 5.9 che il 26 ottobre hanno interessato l’area al confine Marche-Umbria tra i Comuni di Castelsantangelo sul Nera (MC), Norcia (PG) e Arquata del Tronto (AP), la geometria della rete è stata estesa di circa 25 km verso nord con l’attivazione di ulteriori tre stazioni temporanee di cui una, da subito, disposta per la trasmissione dei dati in tempo reale e per l’inserimento nel sistema di sorveglianza sismica dell’Istituto Nazionale di Geofisica e Vulcanologia (INGV). Un’ultima stazione è stata inoltre installata nei pressi di Campello del Clitunno in provincia di Perugia ad ovest della sequenza, a seguito del terremoto Mw 6.5 che la mattina del 30 ottobre ha interessato l’intera area già fortemente provata dalla sequenza in corso; questo è stato il più forte terremoto registrato negli ultimi 30 in Italia. A circa 5 mesi dall’inizio dell’emergenza sismica, la rete temporanea conta quindi 23 stazioni che da metà dicembre sono tutte trasmesse in tempo reale ai diversi centri di acquisizione INGV, ovvero Milano, Ancona e Grottaminarda ma soprattutto Roma dove i dati vengono contestualmente archiviati nell’European Integrated Data Archive (EIDA) e integrati nel sistema di monitoraggio e sorveglianza sismica dell’INGV; per la sorveglianza sono incluse solo parte delle stazioni. Nelle ultime settimane, le attività di campagna del gruppo operativo SISMIKO sono state costantemente focalizzate alla cura e alla manutenzione della strumentazione per garantire la continuità della trasmissione e dell’acquisizione dei dati, a volte compromesse da malfunzionamenti legati al maltempo. Alla data di aggiornamento del presente report, non è ancora stata decretata una dismissione o una rimodulazione della geometria della rete sismica temporanea, anche in considerazione della attività sismica in corso a tutt’oggi molto sostenuta. Tutti i dati acquisiti dalle stazioni temporanee SISMIKO, sono distribuiti senza alcun vincolo, al pari dei dati della Rete Sismica Nazionale (RSN, codice di rete IV), ed utilizzati per prodotti scientifici in tempo reale (localizzazioni di sala, calcolo dei Time Domain Moment Tensor -TDMT delle ShakeMaps, ecc) e per l’aggiornamento dei database dell’INGV come l’Italian Seismological Instrumental and Parametric Database (ISIDe) con la revisione del Bollettino Sismico Italiano (BSI), dell’INGV Strong Motion Data (ISMD) e dell’ITalian ACcelerometric Archive (ITACA), dell’European-Mediterranean Regional Centroid Moment Tensors (RCMT) e nei lavori scientifici che utilizzano forme d’onda velocimetriche ed accelerometriche (ri- localizzazioni, studi della sorgente sismica ecc.).Istituto Nazionale di Geofisica e Vulcanologia (INGV)Published1SR. TERREMOTI - Servizi e ricerca per la Societ

Rapporto Preliminare Sulle Attività Svolte Nel Primo Mese Di Emergenza Dal Gruppo Operativo Sismiko A Seguito Del Terremoto Di Amatrice Mw 6.0 (24 Agosto 2016, Italia Centrale)

Sintesi delle attività svolte dal coordinamento delle reti sismiche mobili INGV in emergenza, denominato SISMIKO, nel primo mese della sequenza sismica “Amatrice” seguita al terremoto di Mw 6.0 del 24 agosto 2016 (01:36 UTC). Descrizione della rete sismica implementata e prime analisi dei dati acquisiti. Report on the activities in the first month of emergency by coordination of mobile seismic networks INGV emergency, called SISMIKO, after the Mw 6.0 Amatrice earthquake (August 24th, 2016, central italy). Description of the temporary seismic network implemented and preliminary analysis of the acquired data.INGV DPCPublished1IT. Reti di monitoraggi

SISMIKO:emergency network deployment and data sharing for the 2016 central Italy seismic sequence

At 01:36 UTC (03:36 local time) on August 24th 2016, an earthquake Mw 6.0 struck an extensive sector of the central Apennines (coordinates: latitude 42.70° N, longitude 13.23° E, 8.0 km depth). The earthquake caused about 300 casualties and severe damage to the historical buildings and economic activity in an area located near the borders of the Umbria, Lazio, Abruzzo and Marche regions. The Istituto Nazionale di Geofisica e Vulcanologia (INGV) located in few minutes the hypocenter near Accumoli, a small town in the province of Rieti. In the hours after the quake, dozens of events were recorded by the National Seismic Network (Rete Sismica Nazionale, RSN) of the INGV, many of which had a ML > 3.0. The density and coverage of the RSN in the epicentral area meant the epicenter and magnitude of the main event and subsequent shocks that followed it in the early hours of the seismic sequence were well constrained. However, in order to better constrain the localizations of the aftershock hypocenters, especially the depths, a denser seismic monitoring network was needed. Just after the mainshock, SISMIKO, the coordinating body of the emergency seismic network at INGV, was activated in order to install a temporary seismic network integrated with the existing permanent network in the epicentral area. From August the 24th to the 30th, SISMIKO deployed eighteen seismic stations, generally six components (equipped with both velocimeter and accelerometer), with thirteen of the seismic station transmitting in real-time to the INGV seismic monitoring room in Rome. The design and geometry of the temporary network was decided in consolation with other groups who were deploying seismic stations in the region, namely EMERSITO (a group studying site-effects), and the emergency Italian strong motion network (RAN) managed by the National Civil Protection Department (DPC). Further 25 BB temporary seismic stations were deployed by colleagues of the British Geological Survey (BGS) and the School of Geosciences, University of Edinburgh in collaboration with INGV. All data acquired from SISMIKO stations, are quickly available at the European Integrated Data Archive (EIDA). The data acquired by the SISMIKO stations were included in the preliminary analysis that was performed by the Bollettino Sismico Italiano (BSI), the Centro Nazionale Terremoti (CNT) staff working in Ancona, and the INGV-MI, described below