Miracle-dz/UniFAR-FTUs huggingface dataset:
Bilkent-RETINA at Retrieving Diverse Social Images Task of MediaEval 2014

This paper explains the approach proposed by Bilkent RETINA team for the Retrieving Diverse Social Images task of MediaEval 2014 [1]. We develop a framework which rst removes outliers using one-class support vector machines (SVM) to improve relevance. Second it clusters the eliminated set and retrieves the centroids to diversify the results. We tried to exploit visual only features during our experiments. For the rst run we used the provided visual features
Annotation-based program stepping

Traditionally, stepping is achieved by modifying the evaluator. In the approach presented here, stepping is achieved by annotating the user's program with calls to stepping procedures. This provides greater flexibility in the selection of which program sections the user is interested in stepping. In addition, the sections not selected are executed without overhead. Stepped program sections are visually highlighted inside the user's program editor, providing a sense of context. Stepping control mechanisms, such as the ability to execute until a certain point and then step, permit the user to navigate through a program in a precise and flexible manner. A prototype stepper based on this approach has been implemented.
UTAP - Unique Topographies for Acoustic Propagation: Designing Algorithmic Waveguides for Sensing in Interactive Malleable Interfaces

Construction and sensing within malleable interfaces is usually limited by a number of constraints. Building the interface from diverse combinations of conductive and nonconductive soft materials, such as fabrics or foams combined with various sensors, complicates the manufacturing process and offers limited options in shaping. In this paper we propose "Unique Topologies for Acoustic Propagation" (UTAP), a novel approach for algorithmic design of malleable tangible interfaces. A fundamental feature of our approach is the implementation of algorithmically generated topologically distinct lattices that, attached to piezoelectric (PZT) transducers, allow us to sense and recognize changes in a modulated acoustic signal on deformation and classify it into different interaction states. Our systematic approach to manufacturing malleable interfaces opens possibilities to design shapes that allow implementation in a wide range of potential use cases. We demonstrate the UTAP approach on multiple interfaces assembled using laser cut and 3D printed lattices in conjunction with silicon compound moulding. Finally, we present a technical evaluation of our method based on studies of four distinct interface designs, assessing performance in sensing and localising simple deformations such as pressing on single and multiple spots, as well as different force levels and actions, including bending and twisting.
An Ensemble Approach to Enhance Performance of Webpage Classification

Automatic web page classification is a complex and slow process. Additionally the application of classification need more accurate and efficient methods, due to increasing demand of web page categorization. Therefore, the proposed work is focuses on the web page classification and clustering schemes and obtaining an enhanced classification technique. In order to obtain efficient text mining techniques various machine learning algorithms are studied and two classification techniques namely Bayesian classification and KNN classification techniques are found for efficient and accurate results. Using both the algorithms a new hybrid technique is developed which is able to perform training on the domain specific data and successfully able to classify the web page according to the available domain knowledge. Keywordsweb page classification, categorization, content mining, text analysis.
"Estoy Aprendiendo"; Inglés y Español: Exploring the Relationship Between the Language Ideologies and Academic Achievement of Second-Grade Spanish-English Emergent Bilingual Students

Author(s): Quintero, Marlen | Advisor(s): Bailey, Alison L. | Abstract: There are approximately 1.3 million Emergent Bilingual students (EB students) in California's public schools (CDE, 2017). The current study examines the relationship between the language ideologies and academic achievement of 18 Spanish-English EB students at a public elementary school in Los Angeles. Language ideologies are "sets of beliefs (or ideas) about language" (Ajsic a McGroarty, 2015, p. 182). One-on-one interviews with EB students revealed that EB students embraced a bilingual language ideology through their bilingual language practices at home and at school and their preference for bilingual instruction. EB students in bilingual classrooms, on average, performed higher on both English and Spanish assessments than EB students in English-only classrooms and often also performed above the national norm in both English and Spanish. There was a positive relationship between bilingual language ideologies and high academic achievement for students in bilingual classrooms. This relationship was not evident for students in English-only classrooms.
Introducing the Concept of Second Neighbours to FPNC algorithm for Improving the Functional Modules Detection

Proteins are biological polymers of amino acid residues. Pro- teins perform various functions within living organisms. Multiple pro- teins carry out these tasks by forming functional modules. Each func- tional module possesses community structure. For identifying functional modules, a lot of community detection or clustering algorithms were de- signed, but most of those algorithms suer by inappropriate clustering results which do not make any sense biologically. Though some of the al- gorithms came out with better results but too high time complexity was not of great help. Recently an ecient algorithm was designed which out- performed other existing algorithms, named Fast Protein Network Clus- tering or FPNC algorithm. We have worked on that algorithm and im- proved its performance by introducing the concept of second neighbours (neighbours of neighbours of any vertex), named as Second order Fast Protein Network Clustering algorithm or 2nd order FPNC algorithm. By coming up with the concept of 2nd neighbours, 2nd order FPNC algo- rithm has better scoring function and better functional module mapping results indicating ecient identication
Left Ventricular Mass and the Risk of Sudden Cardiac Death: A Population‐Based Study

Background Left ventricular (LV) mass ascertained using echocardiography may enhance risk stratification for sudden cardiac death. The objective of this study was to assess the association between left ventricular mass and the risk of sudden cardiac death in a population‐based cohort and determine its incremental value beyond conventional risk predictors. Methods and Results Assessment of LV mass was based on echocardiography in a sample of 905 middle‐aged men representative of the general population (aged 42 to 61 years). During the follow‐up period of 20 years, there were a total of 63 sudden cardiac deaths. In a comparison of the top versus the bottom quartile of LV mass adjusted by body surface area (>120 versus <89 g/m2), the multivariable adjusted hazard ratio was 2.57 (95% CI 1.24 to 5.31, P=0.010). Further adjustment for LV function only modestly attenuated the risk of sudden cardiac death among men with LV mass of >120 g/m2 (hazard ratio 2.29, 95% CI 1.10 to 4.74, P=0.026). Addition of LV mass adjusted by body surface area to a conventional risk factor model for sudden cardiac death improved the integrated discrimination index by 0.033 (95% CI 0.009 to 0.057, P=0.007) and the category‐free net reclassification index by 0.501 (95% CI 0.092 to 0.911, P=0.016). Conclusions Indexed LV mass by body surface area is an independent predictor of sudden cardiac death and may help improve the risk prediction of sudden cardiac death beyond conventional cardiovascular risk factors.
Drug Loading on Microneedles

An experimental study was carried out to investigate the amount of drugs loaded on microneedles. The microneedles were made with poly (lactic acid). Aqueous poly (vinyl alcohol) solutions were prepared as drug solutions. Two drug loading approaches, i.e., dropping and dipping, were examined. It was found that capillary number is the only relevant dimensionless group for the two methods. For the dropping approach, dried drugs will spread near the bottom of a microneedle patch provided the surface tension is low. As for the dipping approach, both a single microneedle and an array of nine microneedles were examined. For a single microneedle, high capillary rises before pulling and pulling speed are two key factors to increase the drug loading volume. For an array of microneedles, the effect of capillary rise owing to the interaction between microneedles would increase the drug loading volume several times higher than a single microneedle of the same dimension.
The InTENsity PowerWall: A Case Study for a Shared File System Testing Framework

Alex Elder, Thomas M. Ruwart, Benjamin D. Allen, Angela Bartow, Sarah E. Anderson, David H. Porter Laboratory for Computational Science and Engineering University of Minnesota Minneapolis, MN 55455 {elder,tmr,benjamin,bartow,sea,dhp}@lcse.umn. edu tel +1-612-626-0059 fax +1-612-626-0030 Abstract The InTENsity PowerWall is a display system used for high-resolution visualization of very large volumetric data sets. The display is linked to two separate computing environments consisting of more than a dozen computer systems. Linking these systems is a common shared storage subsystem that allows a great deal of flexibility in the way visualization data can be generated and displayed. These visualization applications demand very high bandwidth performance from the storage subsystem and associated file system.
Optical and infrared observations of the X-ray source 1WGA J1713.4–3949 in the G347.3-0.5 SNR

Context. X-ray observations unveiled the existence of enigmatic point-like sources at the centre of young supernova remnants (SNRs). These sources, dubbed central compact objects (CCOs), are thought to be neutron stars formed by the supernova explosion. However, their multi-wavelength phenomenology is surprisingly different from that of most young neutron stars. Aims. The aim of this work is to understand the nature of the CCO 1WGA J1713.4−3949 in the G347.3-0.5 SNR through deep optical and infrared (IR) observations, the first ever performed for this source. Methods. By exploiting its derived Chandra X-ray position we carried out optical (BVI) observations with the New Technology Telescope (NTT) and adaptive optics IR (JHKs) observations with the Very Large Telescope (VLT). Results. We detected two faint (I ≈ 23.5, I ≈ 24.3.) patchy objects close to the Chandra error circle in the NTT images. They were clearly resolved in our VLT images which unveiled a total of six candidate counterparts (17.8 < H < 20.3) with quite red colours (H − Ks ∼ 0.6). If they are stars, none of them can be associated with 1WGA J1713.4−3949 for the most likely values of distance and hydrogen column density. The identification of the faintest candidate with the neutron star itself can not be firmly excluded, while the identification with a fallback disk is ruled out by its non-detection in the I band. No other candidates are detected down to B ∼ 26, V ∼ 26.2, I ∼ 24.7, H ∼ 21.3, and K ∼ 20.5. Conclusions. Our high-resolution IR imaging unveiled a few objects close/within the Chandra X-ray position of 1WGA J1713.4−3949. However, at present none of them can be firmly identified as the object’s likely counterpart.
The Effect of Total Knee Arthroplasty on Joint Movement during Functional Activities and Joint Range of Motion with Particular Regard to Higher Flexion Users

Purpose. To evaluate active and functional knee excursion of patients before and after total knee arthroplasty (TKA) and to determine whether TKA restores quality of life related to functional activities of daily living. Methods. Electrogoniometry was used to measure the functional movement of the knee during 11 activities of daily living in 50 patients who underwent TKA. These data were compared with the patient's active range of motion and quality-of-life scores. Results. A cut-off point existed between loss and gain in flexion at between 90 and 95 degrees of preoperative active flexion. Two thirds of patients had preoperative flexion of more than 90 degrees, 83% of them had reduced flexion postoperatively. The remaining one third had preoperative flexion of 90 degrees or less, 85% of them had improved flexion postoperatively. A similar pattern of loss and gain occurred for functional movement of the knee. Reduced functional range was associated with significantly reduced physical quality of life compared with age-matched healthy subjects. Conclusion. Although TKA offers excellent pain relief and contributes to the overall well-being of the patient, these results suggest that it also leads to a reduced range of active and functional motion in the majority of patients. This is associated with a lower-than-normal physical quality of life. The design of implants and rehabilitation programmes should be reconsidered so that better range of motion and quality of life can be achieved for patients.
Linked data, data mining and external open data for better prediction of at-risk students

Research in student retention is traditionally survey-based, where researchers use questionnaires to collect student data to analyse and to develop student predictive model. The major issues with survey-based study are the potentially low response rates, time consuming and costly. Nevertheless, a large number of datasets that could inform the questions that students are explicitly asked in surveys is commonly available in the external open datasets. This paper describes a new student predictive model that uses commonly available external open data instead of traditional questionnaires/surveys to spot `at-risk' students. Considering the promising behavior of neural networks led us to develop student predictive models to predict `at-risk' students. The results of empirical study for undergraduate students in their first year of study shows that this model can perform as well as or even out-perform traditional survey-based ones. The prediction performance of this study was also compared with that of logistic regression approach. The results shows that neural network slightly improved the overall model accuracy however, according to the model sensitivity, it is suggested that logistic regression performs better for identifying `at-risk' students in their programme of study.
A modified approach for extraction and association of triplets

In this paper we present an enhanced algorithm with modified approach to extricate various Triplets i.e. subject-predicate-object from Natural language sentences. The Treebank Structure and the Typed Dependencies obtained from Stanford Parser are used to elicit multiple triplets from English Sentences. Typed Dependencies represents grammatical connections among the words of any sentence and represents how triplets are associated. The intended interpretation behind the extraction of Triplets is that the subject is acting on the object in a way described by the predicate. In graphical form it can be considered that subject and object will be acting as nodes i.e. entities and predicate as edges i.e. relationship. The resulting triplets and relations can be useful for building and analysis of a social network graph and for generating communication pattern and Information retrieval.
Characterization of the Cpx Regulon in Escherichia coli Strain MC4100

ABSTRACT The Cpx two-component signal transduction pathway of Escherichia coli mediates adaptation to envelope protein misfolding. However, there is experimental evidence that at least 50 genes in 34 operons are part of the Cpx regulon and many have functions that are undefined or unrelated to envelope protein maintenance. No comprehensive analysis of the Cpx regulon has been presented to date. In order to identify strongly Cpx-regulated genes that might play an important role(s) in envelope protein folding and/or to further define the role of the Cpx response and to gain insight into what makes a gene subject to strong Cpx regulation, we have carried out a uniform characterization of a Cpx-regulated lux reporter library in a single-strain background. Strongly Cpx-regulated genes encode proteins that are directly linked to envelope protein folding, localized to the envelope but uncharacterized, or involved in limiting the cellular concentration of noxious molecules. Moderately Cpx-regulated gene clusters encode products implicated in biofilm formation. An analysis of CpxR binding sites in strongly regulated genes indicates that while neither a consensus match nor their orientation predicts the strength of Cpx regulation, most genes contain a CpxR binding site within 100 bp of the transcriptional start site. Strikingly, we found that while there appears to be little overlap between the Cpx and Bae envelope stress responses, the σE and Cpx responses reciprocally regulate a large group of strongly Cpx-regulated genes, most of which are uncharacterized.
Graduates: an overview of the trajectory of graduates in education from the National Institute for the Deaf

Abstract This study focuses on the trajectory of graduates from the Instituto Nacional de Educação de Surdos (National Institute for the Education of the Deaf) – INES. It aims at analysing the career development and academic outcomes of students who followed Education degree courses at the INES. One of the objectives of our research was to assess the relationship between these students’ degree courses and graduate follow-up. As a survey tool, we used a bilingual online questionnaire (BSL – Brazilian Sign Language – and Portuguese Language), comprising multiple choice and essay questions, designed for 41 graduates in Education, who obtained their degrees between 2009 and 2016. The majority of the participants were mixed-race women, with no hearing disability, average age of 37, and a monthly income of 3 to 4 minimum wages. The analysed data reveals that more than 90% of the graduates regarded their INES degree courses as good or excellent. In relation to the content of these degree courses, twelve categories were considered rather unsatisfactory, and the most criticised of all was the “curriculum”. Other topics frequently criticised were: the lack of BSL modules in the curriculum, the standard of teaching, lack of modules related to deafness, internship and materials available.
Bandwidth sharing: objectives and algorithms

This paper concerns the design of distributed algorithms for sharing network bandwidth resources among contending flows. The classical fairness notion is the so-called max-min fairness; Kelly (see Europ. Trans. Telecom. vol.8 p.33-37, 1997) has previously introduced the alternative proportional fairness criterion; we introduce a third criterion, which is naturally interpreted in terms of the delays experienced by ongoing transfers. We prove that fixed size window control can achieve fair bandwidth sharing according to any of these criteria, provided scheduling at each link is performed in an appropriate manner. We next consider a distributed random scheme where each traffic source varies its sending rate randomly, based on binary feedback information from the network. We show how to select the source behaviour so as to achieve an equilibrium distribution concentrated around the considered fair rate allocations. This stochastic analysis is then used to assess the asymptotic behaviour of deterministic rate adoption procedures.
Building a Model Explaining the Social Nature of Online Learning

Based on a framework emphasizing the social nature of learning, this research examines a model of how social constructs affect satisfaction within online learning using path analysis for students in higher education. The social constructs evaluated in this study include sense of community (SOC), social ability (SA), perceived ease of use (PEU) and usefulness (PU) of social awareness tools, and self-reported participation (SRP) in online courses. Students' social ability is predicted by perceived ease of use of social awareness tools and self-reported participation. Satisfaction with online learning is explained by sense of community, social ability, and self- reported participation. Sense of community is shown to be a mediator of the relationships between social ability and satisfaction (SA S) and between perceived usefulness and satisfaction (PU S). Additionally, students' social ability, perception of usefulness of social awareness tools, and self-reported participation serve as predictors for students' sense of community. The findings from the path analysis show the value of simultaneously examining the relationships among the multiple social constructs, rather than simply examining relationships of how one construct may predict another as has been shown in previous studies.
Diagnosis of repeated/intermittent failures in discrete event systems

We introduce the notion of repeated failure diagnosability for diagnosing the occurrence of a repeated number of failures in discrete event systems. This generalizes the earlier notion of diagnosability that was used to diagnose the occurrence of a failure, but from which the information regarding the multiplicity of the occurrence of the failure could not be obtained. It is possible that in some systems the same type of failure repeats a multiple number of times. It is desirable to have a diagnoser which not only diagnoses that such a failure has occurred, but also determines the number of times the failure has occurred. To aid such analysis we introduce the notions of K-diagnosability (K failures diagnosability), [1, K]-diagnosability (1 through K failures diagnosability), and [1, /spl infin/]-diagnosability (1 through /spl infin/ failures diagnosability). Here the first (resp., last) notion is the weakest (resp., strongest) of all three and the earlier notion of diagnosability is the same as that of K-diagnosability or that of [1, K]-diagnosability with K=1. We give polynomial algorithms for checking these various notions of repeated failure diagnosability and also present a procedure of polynomial complexity for the online diagnosis of repeated failures.
Extraction of Documentation from Fortran 90 Source Code: An Industrial Experience

Software programs in scientific and engineering domains typically contain complex and extensive computations that are additionally optimized concerning running time or memory requirements. As a consequence, the actual computations are often hard to comprehend from the source code only. This paper presents tool support to extract documentation from source code that reveals the actual computation. We discuss how to generate the entire documentation from the source code automatically by using a minimum of additional annotations. This reduces the effort for writing documentation manually and ensures consistency between source code and documentation. Furthermore, the extracted documentation is given in a notation expected and comprehensible by domain experts. We applied our approach in the electrical engineering domain for software systems implemented in the Fortran 90 programming langugage.
HeterogeneousChemosensitivitiesof Subpopulationsof HumanGlioma Cells in Culture

ranging from hypodiploid to hyperploid. The morphology of the clonal populations also differed, ranging from astrocyte-like to fibroblast-like. In this report, we describe in vitro phenotypic heterogeneity in growth rate and drug sensitivity to BCNU3and CDDP of clonal cell lines isolated from 2 human glioblastomas. Special attention was paid to the heterogeneity in chemothen apeutic response because of its obvious implication in design ing drug regimens in clinical situations. Two assay systems, CTA and CFA, were evaluated.