Miracle-dz/UniFAR-FTUs huggingface dataset:
Videomaking as sociomaterial assemblage

In this paper, we present excerpts from ethnographic data collected when a diverse classroom of children, some of whom were multilingual and others monolingual in English, used iPads to make videos. We discuss the practices, social relations, objects and material conditions that emerged as the children engaged in this production, with special attention to one child participating in the process. Drawing on New Literacy Studies, theories of the material and the construct sociomaterial assemblage, and another construct, production pedagogies, we analyzed the particular interactions this child engaged in while videomaking. These theoretical lenses helped us identify the challenges she faced and some of her strengths that might have been obscured from view during classroom negotiation of textual language, but were revealed when she interacted with digital technologies and multimodal texts. Video production allowed her to position herself and be positioned as knowledgeable, creative and as a legitimate peer with something to contribute.
VALIDEZ PREDICTIVA DE LOS COMPONENTES DEL PROMEDIO DE ADMISIÓN A LA UNIVERSIDAD DE COSTA RICA UTILIZANDO EL GÉNERO Y EL TIPO DE COLEGIO COMO VARIABLES CONTROL

En el siguiente articulo se estudio la relacion de los componentes del promedio de admision (nota de presentacion de secundaria y Prueba de Aptitud Academica) con el rendimiento academico del primer semestre de estudios de los estudiantes de primer ingreso en la Universidad de Costa Rica (UCR) controlando las posibles influencias, debido al genero del estudiante y a la condicion publico o privado del colegio de procedencia. Esto se realizo mediante el uso de modelos de regresion aplicados a 4,658 estudiantes de primer ingreso de la cohorte del 2008. En los modelos planteados se obtuvo que un 18,6% de la variabilidad del logro academico universitario se debe a los componentes del promedio de admision, al genero y al colegio de procedencia, ademas se mostro que las mujeres obtienen un rendimiento academico mas alto que los hombres y que los estudiantes de colegios privados presentan un mejor rendimiento que los provenientes de colegios publicos. Asimismo, se evidencio que las analogias no son un componente de esta prueba que sea significativo en la explicacion del rendimiento academico del primer semestre, contrario a la nota de presentacion y a las demas partes de la prueba, que si resultaron significativas. It was studied in the following paper the relation of the admission average components (secondary average grade and Academic Aptitude Test) to the academic performance of the first year students at University of Costa Rica in the first semester of studies, by controlling the possible influences, because of genre of the student and the public or private condition of provenance school. This was performed by using regression models applied to 4,658 first year students of the cohort from 2008. It was obtained from the three proposed models that 18,6 % of the variability of the college academic achievement is due to of the admission average components, genre and provenance school, also, women obtain a higher academic performance than men and the students from private secondary school show a better performance than those students from public schools. Furthermore, it was evidenced that analogies from Entrance Examination of University of Costa Rica are not a component that could be significant in the explanation of the academic performance for the first semester, on the contrary, those who resulted as a significant component were the average grade and the other parts of the Test.
The Effect of Attributional Retraining on Mastery and Performance Motivation Among First-Year College Students

Motivation can be undermined among first-year college students as they face a multitude of unanticipated challenges during the transition from high school to college (Compas, Wagner, Slavin, & Vannatta, 1986; Perry, Hall, & Ruthig, 2005). As a consequence, approximately 27% of first-year students do not return for the second year of college (Feldman, 2005). First-year college students (N = 336) participated in a study to examine the efficacy of an Attributional Retraining (AR) treatment designed to increase motivation and enhance academic achievement. Employing a pre–post study design spanning an academic year, we examined the impact of AR on student motivation as operationalized in terms of mastery and performance goals. Findings indicated that AR increased mastery motivation but did not affect performance motivation. Findings also demonstrated that mastery motivation mediated the relationship between AR and grade point average, suggesting that mastery motivation is a key mechanism of AR. Findings are discussed in terms of conceptual contributions to both the AR and achievement motivation literatures, and practical implications are outlined.
A Multimodal Result Ontology for Integrated Semantic Web Dialogue Applications

General purpose ontologies and domain ontologies make up the infrastructure of the Semantic Web, which allow for accurate data representations with relations, and data inferences. In our approach to multimodal dialogue systems providing question answering functionality (SMARTWEB), the ontological infrastructure is essential. We aim at an integrated approach in which all knowledge-aware system modules are based on interoperating ontologiesin a common data model. The discourse ontology is meant to provide the necessary dialogue- and HCI concepts. We present the ontological syntactic structure of multimodal question answering results as partof this discourse ontology which extends the W3C EMMA annotation framework and uses MPEG-7 annotations. In addition, we describe anextension to ontological result structures where automatic and context-based sorting mechanisms can be naturally incorporated.
Style and branding elements extraction from businessweb sites

We describe a method to extract style and branding elements from multiple web pages in a given site for content repurposing. Style and branding elements convey the values of the site owners effectively and connect with the target prospects. They are manifested through logos, graphical elements, background color, font styles, font colors and other illustrations. Our method automatically extracts color and image elements appearing frequently and prominently on multiple pages throughout the site. We rely on a DOM tree matching method to obtain the frequency of re-occurring elements and use relative sizes and positions of elements to determine the type of elements. Note that approximate locations of these elements provide an added clue to the content repurposing engine as to where to place the elements in the repurposed document. The obtained results show that the proposed method can efficiently extract style and branding elements with high accuracy.
Abdominal Obesity as a Risk Factor for the Development of Erosive Esophagitis in Subjects with a Normal Esophago-Gastric Junction

Background/Aims Obesity is reported to be associated with erosive esophagitis (EE). However, the temporal association of obesity and abdominal obesity with EE is unclear. We conducted this study to investigate the temporal association of obesity, especially abdominal obesity with EE. Methods Among 1,182 subjects who underwent health screening examinations including upper endoscopy in both 2003 and 2006, a total 1,029 subjects with a normal esophagogastric junction on upper endoscopy in 2003 were enrolled. All subjects completed questionnaires and anthropometric measurements were obtained twice by trained personnels. The patients with newly developed EE were compared to the subjects without newly developed EE. Results Among 1,029 subjects, 42 (4.1%) were newly diagnosed with EE and 82 (8.0%) with hiatal hernia. The mean body mass index (BMI) in both examinations was significantly different between the two groups based on the development of erosive esophagitis (p<0.05 in both examinations). The mean waist circumference (WC) in both examinations was also significantly different between the two groups (p<0.01 in both examinations). The multivariate analysis demonstrated that EE was not associated with the BMI in 2003 and the increase of BMI; however, it was associated with the WC in 2003 (Odds ratio, 7.21; 95% CI, 1.78 to 29.19; >90 cm vs <80 cm). Conclusions Our study showed that abdominal circumference is an independent risk factor for EE, demonstrating a temporal relationship between abdominal obesity and EE.
Improved methods for hiding latency in high bandwidth networks (extended abstract)

In this paper we describe methods for mitigating the degradation in performance caused by high latencies in parallel and distributed networks. Our approach ]s similar in spirit to the “complementary slackness” method of latency hiding, but has the advantage that the slack-ness does not need to be provided by the programmer, and that large slowdowns are not needed in order to hide the latency. Onr approach is also similar in spirit to the latency hiding methods of [~], but is not restricted to memoryless dataflow types of programs. Most of our analysis is centered on the simulation of unit-delay rings on networks of workstations (NOWS) with arbitrary delays on the links. For example, given any collection of operations (including updates of large local memories or databases) that runs in t steps on a ring of n workstations with unit link delays, we show how to perform the same collection of operations in O(t log3 n) steps on any connected, bounded-degree network of n / log3 n workstations for which the auerage link delay is constant. (Here we assume that the bandwidth available on the NOW links is O(log n) times the band-width available on the ring links. An extra factor of log n appears in the slowdown without this assumption. ) The result makes non-trivial use of redundant computation, which is required to avoid a slowdown that is proportional to the maxtmum link delay. The increase in memory and computational load on each workstation needed for the redundant computation
Gain enhancement of MEMS helix antenna using double substrate and fractal structures

This paper is concerned with the design of a novel MEMS helical antenna that is mainly incorporated for Terahertz (THz) applications. The antenna comprises of a metal helix and a CPW feed on the substrate. The antenna can be fabricated using only one wafer and it has high packaging density. For THz applications the antenna parameters has been optimised so that desired performance can be achieved. Moreover low fabrication cost makes this antenna suitable for terahertz systems.
Construct Validity of the Circumplex Model of Family Functioning

This article describes the conduct and results of an empirical analysis of the construct validity of the circumplex model of family functioning developed by Olson and Associates. The FACES-I1 and the Index of Family Relations were administered to 253 family members, and several hypotheses derived from the circumplex model tested. The results suggest that the circumplex model lacks construct validity. Clinical and research implications of these findings are discussed.
Crowd Situations and their Policing from the Perspective of Finnish Police Officers—a Case Study of Finnish Police Knowledge

This study explores crowd situations from the perspective of the Finnish police. The qualitative data consist of focused face-to-face interviews with police officers (n = 15). The results of these interviews indicate that special crowd control units have shifted from being an innovation to being an ordinary part of public order policing, despite the infrequent use of these units. Furthermore, police knowledge concurrently involved diversity and polarity. Crowd situations vary from political protests to sporting events and street festivals, and the police play multiple roles and apply diverse measures and tactics depending on the situation. Polarity is linked to the way the police perceive different crowds and crowd events as ‘easy’ and ‘ordinary’ or ‘difficult’ and ‘deviant’. Finally, tension emerges between national and global aspects within police knowledge. This tension is linked to how police perceive crowd events and public order policing in terms of the past, the present, and the future.
Mutations in chaperonin-like BBS genes are a major contributor to disease development in a multiethnic Bardet–Biedl syndrome patient population

Background Bardet–Biedl syndrome is a pleiotropic disorder with 14 BBS genes identified. BBS1, BBS2, BBS4, BBS5, BBS7, BBS8, and BBS9 form a complex called the BBSome, which is believed to recruit Rab8GTP to the primary cilium and promote ciliogenesis. The second group, the chaperonin-like proteins BBS6, BBS10, and BBS12, have been defined as a vertebrate-specific branch of the type II chaperonin superfamily. These may play a role in the regulation of BBSome assembly. Methods and results Using sequence analysis, the role of BBS6, 10 and 12 was assessed in the patient population comprising 93 cases from 74 families. Systemic and ocular phenotypes were defined. In the study, chaperonin-like BBS gene mutations accounted for the disease in approximately 36.5% of BBS families. A total of 38 different non-polymorphic exonic sequence variants were identified in 40.5% of BBS families (41.9% cases), of which 26 were novel (68%). Six cases had mutations present in more than one chaperonin-like BBS gene. One case with four mutations in BBS10 had a phenotype of overall greater severity. The phenotypes observed were beyond the classic BBS phenotype as they overlapped with characteristics of MKKS (congenital heart defect, vaginal atresia, hydrometrocolpos, cryptorchidism), as well as Alström syndrome (diabetes, hearing loss, liver abnormalities, endocrine anomalies, cardiomyopathy). Conclusions While overlap between the MKKS and BBS phenotypes has previously been reported for cases with BBS6 mutations, we also observed MKKS phenotypes involving BBS10 and BBS12 and Alström-like phenotypes associated with mutations in BBS1, BBS2, BBS6, BBS7, BBS9, BBS10 and BBS12 for the first time.
Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF

In this paper, we propose a robust framework for building extraction in visible band images. We first get an initial classification of the pixels based on an unsupervised presegmentation. Then, we develop a novel conditional random field (CRF) formulation to achieve accurate rooftops extraction, which incorporates pixel-level information and segment-level information for the identification of rooftops. Comparing with the commonly used CRF model, a higher order potential defined on segment is added in our model, by exploiting region consistency and shape feature at segment level. Our experiments show that the proposed higher order CRF model outperforms the state-of-the-art methods both at pixel and object levels on rooftops with complex structures and sizes in challenging environments.
Personality Classification from Robot-mediated Communication Cues

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Systems modelling based on orthogonal filters

A new method for obtaining the models of continuous systems based on the Legendre orthogonal filters is proposed in this paper. New results in the field of orthogonal functions are used to improve accuracy of modelling. First, Legendre orthogonal filters are designed on the basis of orthogonal functions. Then, based on them, adjustable models are formed. Models parameters are optimized using the genetic algorithm. As a case study, an experimental simple DC drive was considered and described in details. Simulations are performed to approve theoretical results and demonstrate that the method described in the paper is suitable for systems modelling.
Rough Set Theory for Arabic Sentiment Classification

Recently, the web has been a major place where people interact and express their views and sentiments. Researchers were attracted to conduct further analysis on this rich content known as Sentiment Analysis, Sentiment Classification or Opinion Mining. Rough Set Theory is a mathematical tool that can be used for classification and analysis of uncertain, incomplete or vague information. It can be used to significantly reduce the dimensionality of the data without much loss in information content, which is achieved using the concept of Reduct. This paper focuses on investigating the use of the Rough Set theory approach for Arabic Sentiment Classification. This paper compares some approaches that have been proposed to find Reducts to classify Arabic tweeting reviews. The Rosetta toolkit is used for testing where two main Reduct approaches were applied: Johnson Reducer and Genetic-based reducer. We compared the results of the approaches using cross validation evaluation method. The results showed that Genetic reducer achieved 57% of accuracy, which outperformed Johnson Reducer. The paper concludes that the Rough Set based approach is applicable for sentiment analysis of Arabic text but further investigation is required to evaluate other Reduct generation methods.
The Caenorhabditis elegans microtubule minus-end binding homolog PTRN-1 stabilizes synapses and neurites

Microtubule dynamics facilitate neurite growth and establish morphology, but the role of minus-end binding proteins in these processes is largely unexplored. CAMSAP homologs associate with microtubule minus-ends, and are important for the stability of epithelial cell adhesions. In this study, we report morphological defects in neurons and neuromuscular defects in mutants of the C. elegans CAMSAP, ptrn-1. Mechanosensory neurons initially extend wild-type neurites, and subsequently remodel by overextending neurites and retracting synaptic branches and presynaptic varicosities. This neuronal remodeling can be activated by mutations known to alter microtubules, and depends on a functioning DLK-1 MAP kinase pathway. We found that PTRN-1 localizes to both neurites and synapses, and our results suggest that alterations of microtubule structures caused by loss of PTRN-1 function activates a remodeling program leading to changes in neurite morphology. We propose a model whereby minus-end microtubule stabilization mediated by a functional PTRN-1 is necessary for morphological maintenance of neurons. DOI: http://dx.doi. org/10.7554/eLife.01637. 001
Probabilistic matrix tri-factorization

Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X ≈ USV┬, where factor matrices, U, S, and V , are restricted to be nonnegative as well. Motivated by the aspect model used for dyadic data analysis as well as in probabilistic latent semantic analysis (PLSA), we present a probabilistic model with two dependent latent variables for NMTF, referred to as probabilistic matrix tri-factorization (PMTF). Each latent variable in the model is associated with the cluster variable for the corresponding object in the dyad, leading the model suited to co-clustering. We develop an EM algorithm to learn the PMTF model, showing its equivalence to multiplicative updates derived by an algebraic approach. We demonstrate the useful behavior of PMTF in a task of document clustering. Moreover, we incorporate the likelihood in the PMTF model into existing information criteria so that the number of clusters can be detected, while the algebraic NMTF cannot.
Driving and Age-Related Macular Degeneration

This article reviews the research literature on driving and age-related macular degeneration, which is motivated by the link between driving and the quality of life of older adults and their increased collision rate. It addresses the risk of crashes, driving performance, driving difficulty, self-regulation, and interventions to enhance, safety, and considers directions for future research.
Correction: Towards the Personalized Treatment of Glioblastoma: Integrating Patient-Specific Clinical Data in a Continuous Mechanical Model

Glioblastoma multiforme (GBM) is the most aggressive and malignant among brain tumors. In addition to uncontrolled proliferation and genetic instability, GBM is characterized by a diffuse infiltration, developing long protrusions that penetrate deeply along the fibers of the white matter. These features, combined with the underestimation of the invading GBM area by available imaging techniques, make a definitive treatment of GBM particularly difficult. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of GBM evolution in every single patient throughout his/her oncological history, in order to target therapeutic weapons in a patient-specific manner. In this work, we propose a continuous mechanical model and we perform numerical simulations of GBM invasion combining the main mechano-biological characteristics of GBM with the micro-structural information extracted from radiological images, i.e. by elaborating patient-specific Diffusion Tensor Imaging (DTI) data. The numerical simulations highlight the influence of the different biological parameters on tumor progression and they demonstrate the fundamental importance of including anisotropic and heterogeneous patient-specific DTI data in order to obtain a more accurate prediction of GBM evolution. The results of the proposed mathematical model have the potential to provide a relevant benefit for clinicians involved in the treatment of this particularly aggressive disease and, more importantly, they might drive progress towards improving tumor control and patient’s prognosis. PLOS ONE | DOI:10.1371/journal.pone. 0132887 July 17, 2015 1 / 23 OPEN ACCESS Citation: Colombo MC, Giverso C, Faggiano E, Boffano C, Acerbi F, Ciarletta P (2015) Towards the Personalized Treatment of Glioblastoma: Integrating Patient-Specific Clinical Data in a Continuous Mechanical Model. PLoS ONE 10(7): e0132887. doi:10.1371/journal.pone. 0132887 Editor: Joseph Najbauer, University of Pécs Medical School, HUNGARY Received: March 20, 2015 Accepted: June 22, 2015 Published: July 17, 2015 Copyright: © 2015 Colombo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper. Funding: This work was partially supported by the “Start-up Packages and PhD Program” project, cofunded by Regione Lombardia through the “Fondo per lo sviluppo e la coesione 2007–2013 -formerly FAS”, and by the “Progetto Giovani GNFM 2014,” funded by the National Group of Mathematical Physics (GNFM-INdAM). Competing Interests: The authors have declared that no competing interests exist.