Miracle-dz/UniFAR-FTUs huggingface dataset:
Scanning the Science-Society Horizon

Science communication approaches have evolved over time gradually placing more importance on understanding the context of the communication and audience. The increase in people participating in social media on the Internet offers a new resource for monitoring what people are discussing. People self publish their views on social media, which provides a rich source of every day, every person thinking. This introduces the possibility of using passive monitoring of this public discussion to find information useful to science communicators, to allow them to better target their communications about different topics. This research study is focussed on understanding what open source intelligence, in the form of public tweets on Twitter, reveals about the contexts in which the word ‘science’ is used by the English speaking public. By conducting a series of studies based on simpler questions, I gradually build up a view of who is contributing on Twitter, how often, and what topics are being discussed that include the keyword ‘science’. An open source a data gathering tool for Twitter data was developed and used to collect a dataset from Twitter with the keyword ‘science’ during 2011. After collection was completed, data was prepared for analysis by removing unwanted tweets. The size of the dataset (12.2 million tweets by 3.6 million users (authors)) required the use of mainly quantitative approaches, even though this only represents a very small proportion, about 0.02%, of the total tweets per day on Twitter Fourier analysis was used to create a model of the underlying temporal pattern of tweets per day and revealed a weekly pattern. The number of users per day followed a similar pattern, and most of these users did not use the word ‘science’ often on Twitter.
Do investors obtain better results selecting mutual funds through quantitative ratings?

ABSTRACT The objective of this paper is to analyse if ratings are reliable tools in selecting mutual funds. Our sample contains the European equity funds rated by Morningstar from 2003 to 2014. Our conclusions support the ability of ratings to predict future performance in the short and medium term. In this sense, we have found that on average, funds with lower ratings have a worse out of sample performance in terms of risk-adjusted measures and annual return. The strongest predictability is observed for one year ahead but is also good for the three-years period. The inclusion of costs and other variables like turnover, age and size, reflect the importance of considering other factors to explain future performance. Finally, the best ratings have a better behaviour in terms of VaR (value at risk) showing that investment in good rated funds can better help to preserve investors’ wealth under unfavourable market conditions.
PENGARUH GEOGEBRA TERHADAP KEMAMPUAN PEMAHAMAN KONSEP PADA MATAKULIAH GEOMETRI ANALITIK BIDANG

Geogebra adalah salah satu aplikasi perpaduan antara geometri dan aljabar. Aplikasi ini merupakan aplikasi yang sudah dapat di install dari play store dari Handphone android. Sehingga aplikasi ini sangat baik digunakan dalam proses pembelajaran matematika, khususnya untuk kemampuan pemahaman konsep pada materi parabola dan hiperbola. Tujuan penelitian ini adalah untuk mengetahui pengaruh Geogebra terhadap kemampuan pemahaman konsep matematis. Metode penelitian ini adalah quasi eksperimen. Instrumen yang digunakan dalam penelitian ini adalah tes kemampuan pemahaman konsep matematis. Anlisis yang digunakan dalam penelitian ini akan di analisis dengan analisis regresi. Hasil penelitian menunjukkan ada pengaruh Geogebra terhadap kemampuan pemahaman konsep matematis.
Cross-linguistic lexical and syntactic co-activation in L2 sentence processing

This study investigates under which conditions the L1 syntax is activated in L2 on-line sentence comprehension. We study whether cross-linguistic syntactic activation of the L1 word order is affected by lexical activation of the first language (L1) by virtue of cognate words. In two eye-tracking experiments, German-English bilinguals and English natives read English sentences containing reduced relative clauses whose surface word order partially overlaps with German embedded clauses. The verbs used were either German-English cognates or matched control verbs. The results show lexical cognate facilitation and syntactic co-activation of L1 word order, with the latter being moderated by proficiency and cognate status. Critically, syntactic co-activation is found only with English control words. We argue that fleeting co-activation of the L1 syntax becomes measurable under higher demands of lexical processing, while cognate facilitation frees resources for inhibition of the L1 syntax and target-like syntactic processing.
Board 132: Study Success of Transfer Students in Engineering Technology: the Effect of a MOOC and a Math Diagnostic Test

Prof. dr. ir. Tinne De Laet is tenure track professor at the Faculty of Engineering Science, KU Leuven. She obtained a doctoral degree in Mechanical Engineering in 2010 at KU Leuven, Belgium supported by a scholarship of the Research Foundation – Flanders (FWO). She was a post-doctoral researcher of the Research Foundation – Flanders (FWO) at KU Leuven from 2010-2013. In 2013 she obtained a tenure track position, focusing on engineering education and supporting and counselling of students in particular during the transition from secondary to higher education. She is the Head of the Tutorial Services of Engineering Science, providing her with first-hand experience on the transition from secondary to higher education.
PowerPoint Outside Class

How well does PowerPoint support learning outside class? This project answers this question by data mining a large dataset of 1,413 PowerPoint files from 54 professors. PowerPoint text and image data were combined with course and faculty data, as well as server logs indicating how many times each file was downloaded. The results show that slide images do not lead to increased downloads. Instead, slides with a large number of concise bullet points were downloaded at higher rates. This suggests that slide best practices need to be revisited for learning outside class.
Binaural Speech Intelligibility Prediction and Nonlinear Hearing Devices

A new objective measurement system to predict speech intelligibility in binaural listening conditions is proposed for use with nonlinear hearing devices. Digital processing inside such devices often involves nonlinear operations such as clipping, compression, and noise reduction algorithms. Standard objective measures such as the Articulation Index (AI), the Speech Intelligibility Index (SII) and the Speech Transmission Index (STI) have been developed for monaural listening. Binaural extensions of these measures have been proposed in the literature, essentially consisting of a binaural pre-processing stage followed by monaural intelligibility prediction using the better ear or the binaurally enhanced signal. In this work, a three-stage extension of the binaural SII approach is proposed that deals with nonlinear acoustic input signals. The reference-based model operates as follows: (1) a stage to deal with nonlinear processing based on a signal-separation model to recover estimates of speech, noise and distortion signals at the output of hearing devices; (2) a binaural processing stage using the Equalization-Cancellation (EC) model; and (3) a stage for intelligibility prediction using the SII or the short-time Extended SII (ESII). Multiple versions of the model have been developed and tested for use with hearing devices. A software simulator is used to perform hearing-device processing under various binaural listening conditions. Details of the modeling procedure are discussed along with an experimental framework for collecting subjective intelligibility data. In the absence of hearing-device processing, the model successfully predicts speech intelligibility in all spatial configurations considered. Varying levels of success were obtained using two simple distortion modeling approaches with different distortion mechanisms. Future refinements to the model are proposed based on the results discussed in this work.
A Guide to Integrating COTS Games into Your Classroom

Many of the educational outcomes we seek to promote in public education, such as problem solving and critical thinking, are difficult to achieve given the constraints of the real-world classroom. Commercial Off-the-Shelf (COTS) games make excellent tools for addressing both content-based and higher-order learning outcomes, and many educators are exploring their use in the classroom. But making effective use of commercial games in the classroom requires that we understand how games function in relation to the typical instructional strategies and practices of the classroom. The first part of this chapter will examine the theories that underlie the successful integration of commercial games in the classroom and look at an empirically based model, the NTeQ (iNtegrating Technology through inQuiry), for designing lessons that integrate COTS games. This will lay the groundwork for the second part of the chapter in which these theories and the model are discussed in the context of actually designing COTS game-based learning (GBL).
Exploring geometrical structures in high-dimensional computer vision data

In computer vision, objects such as local features, images and video sequences are often represented as high dimensional data points, although it is commonly believed that there are low dimensional geometrical structures that underline the data set. The low dimensional geometric information enables us to have a better understanding of the high dimensional data sets and is useful in solving computer vision problems. In this thesis, the geometrical structures are investigated from di erent perspectives according to di erent computer vision applications. For spectral clustering, the distribution of data points in the local region is summarised by a covariance matrix which is viewed as the Mahalanobis distance. For the action recognition problem, we extract subspace information for each action class. The query video sequence is labeled by information regarding its distance to the subspaces of the corresponding video classes. Three new algorithms are introduced for hashing-based approaches for approximate nearest neighbour (ANN) search problems, NOKMeans relaxes the orthogonal condition of the encoding functions in previous quantisation error based methods by representing data points in a new feature space; Auto-JacoBin uses a robust auto-encoder model to preserve the geometric information from the original space into the binary codes; and AGreedy assigns a score, which re ects the ability to preserve the order information in the local regions, for any set of encoding functions and an alternating greedy method is used to nd a local optimal solution. The geometric information has the potential to bring better solutions for computer vision problems. As shown in our experiments, the bene ts include increasing clustering accuracy, reducing the computation for recognising actions in videos and increasing retrieval performance for ANN problems.
40 years of multi-faceted change in the Dutch Tax and Customs Administration

A major challenge for European governments is solving the dilemma of increasing security and control of international trade, while at the same time reducing the administrative overhead carried by commercial and public administration organizations. Process redesign and use of ICT are widely perceived as key components of a solution. Thus, we see that many ICT-driven change efforts have taken and continue to take place under the header of eGovernment. These changes are not always successful, however, and not yet wellunderstood. In this article, we provide an interpretive longitudinal account of the strategic IS efforts at the Dutch Tax and Customs Administration (DTCA). Instead of focusing on IS that supports the government itself or the relations between governments and citizens, we seek to contribute to the sparse literature that is specifically directed at the interactions between EU initiatives in eGovernment, national governments, and businesses. By providing a narrative of DTCA that spans multiple levels and multiple time frames, we seek to explore eGovernment developments from the 1960s to now. We discuss our findings by examining the changes at DTCA building primarily on Van de Ven & Poole’s (1995)
Fungal infection in a tertiary care level III NICU: A Review

Introduction Candida infections are an increasing cause of septicemia in neonatal ICUs. Approximately 20% of very-low-birth-weight (VLBW) (birth weight <1,500 g) preterm infants experience a serious systemic infection during their initial hospital stay (a). Preterm infants are predisposing to the Candida infections because of immaturity of their immune system and invasive interventions. Candida species are the 3 rd most frequent organism (after coagulase negative Staph. and Staph. Aureus) isolated in the lateonset sepsis in very low birth weight infants(I.e.<1500 g) The rate of fungal sepsis is lower in full-term infants; however the overall morbidity and mortality from disseminated candidiasis are very high, often approaching 25% to 54% respectively. Neonates may acquire Candida by vertical or nosocomial transmission. In vertical transmission, acquisition may occur either during gestation or at the time of delivery. In both cases an ascending route from the mother's vagina is involved. Vaginal candidiasis occurs frequently among pregnant women, especially in the last trimester. Fungal infection in newborn is also an important cause of nosocomial infection in NICU, the incidence being 2.8-12.9%. However, there is an 11 fold increase in the incidence of the same in the last decade. The early NICU course favors colonization and proliferation of fungi since many VLBW infants have central vascular catheters and are exposed to broad-spectrum antibiotics and parenteral nutrition. The vast majority of fungal infections in preterm neonates are due to Candida species (Commensal yeast, C.albicans, C.tropicalis, C.glabrata), with a small number being due to Malassezia and other rare fungi like Aspergillus’s sp etc. Acute mortality from Candida infection may be associated with septic shock due to the production of endotoxin-like substances, hemolysin, and pyrogens by the organism
PERAN KEPERCAYAAN MEMEDIASI PENGARUH PENGALAMAN TERHADAP NIAT MENGGUNAKAN KEMBALI JASA JNE DI KOTA DENPASAR

In the era of globalization, the development of the business world increasingly unpredictable, various businesses in the field of service or production increasingly competitive. Consumer needs are increasing and many online businesses are emerging. Business services today are needed and influential in the activities of everyday consumers. Many freight forwarder companies are easily found in every corner of the city and include JNE, Tiki, Pos Indonesia, and DHL. The freight service used in this research is JNE. The location of this research was conducted in Denpasar City in subdistrict of West Denpasar, South Denpasar, East Denpasar, and North Denpasar. Sample size in this research is 100 samples, choose 100 responden because in this research using path analysis method where daalam method must use at least 100 sample. The result of this research is experience having positive and significant effect to trust, experience have positive and significant effect to reuse intention, trust have positive and significant effect to intention of reuse, trust able to mediate influence of experience to intention to reuse JNE service in Denpasar City. Keywords: experience, trust, intention of reuse.
Lexical and postlexical phonology in optimality theory: Evidence from Japanese

Using examples from the phonology of Japanese, this paper argues, against the claims of radical parallelism, that lexical and postlexial phonology remain separate and serially related systems in Optimality Theory. Crucial evidence comes from opaque interactions involving allophonic masking processes, which cannot be properly understood in parallelist Sympathy Theory without compromising a basic tenet of OT regarding the unrestrictedness and universality of inputs (Richness-of-the-Base). It is suggested that, within a given grammar, ranking differences between the lexical and the postlexical systems are tightly restricted, perhaps limited to lexical demotions of contextual markedness and faithfulness.
QUEUEING FOR MEDICAL CARE

Mr Bailey uses the statistical theory of queues to calculate the number of beds in a hospital, the number and length of clinical sessions, and the appointment system, necessary to provide the corresponding services with a defined amount of waiting on the part of patients. The article is interesting as exemplifying the practical application of modern statistical theory as well as dealing with a subject of general concern.
Exploring Information Retrieval features for Author Profiling Notebook for PAN at CLEF 2014

This paper describes the methods we have employed to solve the au- thor profiling task at PAN-2014. Our goal was to rely mainly on features from Information Retrieval to identify the age group and the gender of the author of a given text. We describe the features, the classification algorithms employed, and how the experiments were run. Also, we provide an analysis of our results compared to other groups.
Investor Sentiment and the Risk-Return Tradeoff in the Brazilian Market

The present study examines the influence of investor sentiment on the risk-return relationship in the Brazilian stock market from 2002 to 2015. Using the Consumer Confidence Index as a substitute for the level of investor sentiment, we found that the relationship between conditional variance and raw return on stocks is positive (negative) in periods of low (high) sentiment, except for small stocks, which always show a negative relationship between the constructs. The deterioration of the positive relationship between risk and return when sentiment is high is a result of the sharp growth in the number of less sophisticated investors under these circumstances.
Thinking Like a Student: Subject Guides in Small Academic Libraries

ABSTRACT Small academic libraries must produce Web-based subject guides despite limited budgets. This practical communication describes how one such library in Australia used freely available wiki software and third-party hosting to create a set of Web-based subject guides. A subsequent redesign was then based around typical student tasks. This case demonstrates that it is possible to produce high-quality guides that meet student needs with minimal costs.
Some thoughts on corpora and second-language acquisition

Using experiments on explicit vs. implicit teaching methods as a starting-point, this paper raises some questions on corpora and second-language acquisition: To what extent are controlled experiments arranged to test the effectiveness of the use of corpora in language teaching? To what extent can the use of corpora be grounded in theories of language acquisition and of language in general? Attention is drawn to the connection between ideas of learning as hypothesis testing as expressed by proponents of error analysis and the more recent ideas connected with corpora and the student as a researcher. Reference is made to the usage-based model, which may account both for the nature of language and language acquisition. The usage-based model and the relevance of corpora deserve to be recognised in work on second-language acquisition. It is claimed that corpora have many uses of relevance for language teaching and language learning. Special attention is drawn to three types of corpora: textbook corpora, learner corpora, and multilingual corpora. There is a need, however, for more systematic studies on the effectiveness of corpora in language teaching. Their use is vindicated to the extent that it agrees with what we know about language and language acquisition, and can be shown to be an effective learning tool.
Measuring teachers and learners’ perceptions of the quality of their online learning experience

Abstract This article explores the quality of the online learning experience based on the Sloan-C framework and the Online Learning Consortium’s (OLC) quality scorecard. The OLC index has been implemented to evaluate quality in online programs from different perspectives. Despite this, the opinions of learners are ignored, and it is built using feedback from experts and panelists while ignoring the factors that teachers consider important during their lectures. We propose an alternative way of measuring the quality of online learning programs by analyzing the satisfaction of the learning experience and using teachers and students’ perceptions. The 11 categories composing the index were weighted in the teacher and student indices using principal component analysis, and finally these two indices were linearly combined with a parameter that defines the importance of each body. Findings show that while teachers perceive collaborative learning variables as crucial, learners are more concerned with their own learning benefits.
Beobachtungen zur US-Leistungsbilanz

Die USA haben im Guterhandel ein Defizit mit der Welt, aber Uberschusse im Dienstleistungshandel und bei Primareinkommen (Vermogenseinkunfte). Im Verhaltnis mit der EU weisen sie seit 2009 einen Leistungsbilanzuberschuss auf, da das Defizit im Guterhandel von Uberschussen bei Dienstleistungen und Vermogenseinkunften mehr als ausgeglichen wird. Gegenuber Deutschland ist die US-Leistungsbilanz zwar im Defizit. Eine isolierte Betrachtung ergibt aber in einem integrierten Wirtschaftsraum wie der EU keinen Sinn, da Deutschland US-Dienstleistungen uber Niederlassungen US-amerikanischer Unternehmen in Irland und den Niederlanden importiert.
Aircraft cabin air contamination and aerotoxic syndrome—a review of the evidence

There is growing concern that there are no plans by the aviation industry and its safety regulators to take action to end the bleed air system, whereby the interior breathing air within airliners enters the aircraft through the jet engines. As a result fumes from engine lubricating oil, hydraulic fluid, de-icing fluids etc. routinely enter the cabin air. Aircrew and some frequently flying passengers are presenting with the symptoms associated with toxic exposure. It would be thought wise for the industry and its regulators to make timely plans for the permanent eradication of what many agree is a design fault that has lasted for too long. This is especially true now that an alternative, bleed-free, ventilation and pressurization system has been operating successfully for some time in the form of the Boeing 787. This paper reviews the evidence the industry and its regulators appear to be ignoring.
Immediate implants in fresh extraction sockets: A Review

Immediate implants are the implants placed into the fresh extraction socket following tooth extraction. Several human and animal studies have shown that the success rate of these implants is comparable to the implants placed in the healed sites. There are certain advantages of this procedure which include, fewer surgical steps, preservation of the bone height and width, short edentulous time period and reduced overall cost. Immediate implants are advantageous to the patients from both surgical and prosthetic point of view. So this technique is very appealing for the patients who require both extraction and the implant placement. The objective is to provide a general review about immediate implant placement and to summarize uses and applications in which this technique can be indicated. Keywords: Immediate Implantation, Immediate Loading, Periapical Lesions, Extraction Socket, Implant Survival