Topic choice, gendered language, and the under-funding of female scholars in mission-oriented research

We investigate the participation of male and female applicants to a competition for research funding, using an original dataset with detailed information on both successful and unsuccessful applicants to 21 calls by a mission-oriented funding agency. We use this information to construct a fictitious pool of 277,464 potential applicants and to model their probability to submit an application. We find that, even after controlling for productivity, quality of research, seniority, years of career discontinuity, number of prior applications, affiliation, and ethnicity, women were still less likely to apply than men. The lower likelihood of females to apply was not explained by the use of masculine language in the text of the calls. Instead, women's research interests were more distant from the topics of the calls than men's. Topic proximity fully mediated female penalization in the likelihood to apply for research funding. These results are an important heads-up, in view of the increasing focus of governments in mission-oriented programs

Materiales y tecnologías en la Arquitectura Modernista: casos de estudio de decoración de fachadas en Italia, Portugal y Polonia persiguiendo una restauración racional

The results of a diagnostic survey on the materials of representative Art Nouveau buildings in Italy, Portugal and Poland are here presented and compared, as a contribution to their understanding and, hence, to support compatible restoration. In particular, the facade decorations were investigated for the appraisal of their materials and technologies, often neglected in current maintenance/restoration works and so cancelled, leading to a severe loss in architectural image. The ongoing diagnostic campaign, in collaboration among different universities, is aimed to set up a database on materials and technologies of Art Nouveau facade decorations at a European scale, as a technical-scientific background for the highlighting of preservation guidelines

SGI como instrumento complementar na avaliação do impacto ambiental da agricultura.

Divulga a metodologia, desenvolvida pelo Núcleo, de caracterização e avaliação do impacto ambiental da agricultura, baseada no uso de SGI. O projeto foi executado sobre conjuntos de pequenas propriedades com diferentes sistemas de produção. Na escala municipal articulou espacialmente, via SGI, o uso das terras e os coeficientes técnicos dos sistemas de produção aferentes. Foram geradas 32 cartas de impacto ambiental da atividade agrícola, por recursos e insumos

Deep learning for inferring cause of data anomalies

Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different sub-detectors and the global quality of data depends on the combinatorial performance of each of them. In this paper, the problem of identifying channels in which anomalies occurred is considered. We introduce a generic deep learning model and prove that, under reasonable assumptions, the model learns to identify 'channels' which are affected by an anomaly. Such model could be used for data quality manager cross-check and assistance and identifying good channels in anomalous data samples. The main novelty of the method is that the model does not require ground truth labels for each channel, only global flag is used. This effectively distinguishes the model from classical classification methods. Being applied to CMS data collected in the year 2010, this approach proves its ability to decompose anomaly by separate channels.Comment: Presented at ACAT 2017 conference, Seattle, US

Effect of heuristics on serendipity in path-based storytelling with linked data

Path-based storytelling with Linked Data on the Web provides users the ability to discover concepts in an entertaining and educational way. Given a query context, many state-of-the-art pathfinding approaches aim at telling a story that coincides with the user's expectations by investigating paths over Linked Data on the Web. By taking into account serendipity in storytelling, we aim at improving and tailoring existing approaches towards better fitting user expectations so that users are able to discover interesting knowledge without feeling unsure or even lost in the story facts. To this end, we propose to optimize the link estimation between - and the selection of facts in a story by increasing the consistency and relevancy of links between facts through additional domain delineation and refinement steps. In order to address multiple aspects of serendipity, we propose and investigate combinations of weights and heuristics in paths forming the essential building blocks for each story. Our experimental findings with stories based on DBpedia indicate the improvements when applying the optimized algorithm

Monte Carlo Production Management at CMS

The analysis of the LHC data at the Compact Muon Solenoid (CMS) experiment requires the production of a large number of simulated events. During the RunI of LHC (20102012), CMS has produced over 12 Billion simulated events, organized in approximately sixty different campaigns each emulating specific detector conditions and LHC running conditions (pile up). In order to aggregate the information needed for the configuration and prioritization of the events production, assure the book-keeping of all the processing requests placed by the physics analysis groups, and to interface with the CMS production infrastructure, the web- based service Monte Carlo Management (McM) has been developed and put in production in 2013. McM is based on recent server infrastructure technology (CherryPy + AngularJS) and relies on a CouchDB database back-end. This contribution covers the one and half year of operational experience managing samples of simulated events for CMS, the evolution of its functionalities and the extension of its capability to monitor the status and advancement of the events production

Efficacy and safety of felbamate in children under 4 years of age: a retrospective chart review.

Background and purpose: To review our experience of the efficacy and tolerability of felbamate in children younger than 4 years. Methods: We used a retrospective chart review to identify 53 children with seizures who were younger than 4 years. Efficacy was evaluated based on the occurrence of responsiveness, defined as seizure frequency reduction of more than 50% for a minimum period of 4 months. Tolerability was based on parent-reported side effects. Results: Twenty-two (41%) patients resulted to be responders and 31 (59%) did not. By univariate analysis, those achieving seizure remission were probably much older, to have a shorter history of epilepsy and a lower frequency of seizures before felbamate therapy. The number of antiepileptic drugs (AEDs) used before felbamate therapy was the only significant predictor of the duration of response to felbamate, with a longer responsiveness to the drug seen in those who were placed under fewer than three AEDs before felbamate compared with those who had taken more than three (median, 16 months vs. 7 months; P < 0.0084). Side effects occurred in 30% of the subjects, but these did not require discontinuation of the drug. Discussion: Felbamate is an effective medication for a wide range of epilepsy syndromes in children younger than 4 years. Although caution is necessary when the drug is used in children, felbamate might represent a possible option for the treatment of epilepsy in this age group. Introduction The incidence of epilepsy is high during the first year of life and it declines steadily during childhood and adolescence. Few of the new antiepileptic drugs (AEDs) are indicated officially for children younger than 4 years [1–3]. None of them is approved for children younger than 2 years [1,3,4]. There is a striking discrepancy between the high incidence of epilepsy in infancy and the relatively few approved AEDs available for this age group [5]. Felbamate (2-phenyl-1,3-propanediol dicarbamate) is a derivative of the anti-anxiety drug meprobamate, exerting additional anticonvulsant and neuroprotective properties [6–8]. The drug has been approved since 1993 for the treatment of several types of epilepsy. Experimental studies suggested that felbamate might inhibit voltage-dependen

Comparison of the Conceptual Map and Traditional Lecture Methods on Students’ Learning Based on the VARK Learning Style Model: A Randomized Controlled Trial

Developing skills and knowledge in nursing education remains a considerable challenge. Nurse instructors need to be aware of students' learning styles so as to meet students' individual learning preferences and optimize knowledge and understanding. The aim of this study was to compare the effects of the conceptual map and the traditional lecture methods on students' learning based on the VARK learning styles model. In this randomized controlled trial, 160 students from nursing, nurse anesthetics, and midwifery disciplines with four different learning styles of visual, auditory, reading/writing, and kinesthetic were selected using the convenience sampling method. Participants were randomly assigned to the intervention (conceptual map method) or control (traditional lecture method) groups. A medical-surgical nursing course was taught to the students in both groups over 6 weeks. Data collection tools consisted of the VARK questionnaire and pre-and postassessments. Data were analyzed using descriptive and inferential statistics via the SPSS software. Teaching using the conceptual map method had different effects on the students' learning outcomes based on their learning styles. The conceptual map method had a statistically significant impact on the students' learning in the intervention group compared with the control group in the students with a visual learning style (p ¼ .036). No statistically significant differences were reported between the groups in other three learning styles. Nurse instructors should assess students' learning styles based on the VARK model before the application of a particular teaching method to improve the quality of nursing education and facilitate deeper learning