Miracle-dz/UniFAR-FTUs huggingface dataset:
Patterns in the prevalence of research-related goals in higher education programmes

Integration of research into teaching is considered a desirable characteristic of higher education, and valuable for student learning. Nevertheless, not much is known about the prevalence of research integration in students' everyday experiences within higher education. This article reports on an empirical study on the prevalence of six research-related goals in 45 educational programmes in Flanders. The study aimed at identifying the patterns in the prevalence of these goals at programme level. For each programme, a profile was identified. A cluster analysis revealed three different patterns: a low-attention pattern (N=21), a results pattern (N=16) and a critical-thinking pattern (N=8). The prevalence of the patterns in the programmes included in the sample differs between distinct types of programmes, but not between disciplines.
Pornography and Rhetorical Strategies - The Politics of Public Policy

The role of rhetoric in social science has become a subject of renewed interest in recent years. Although a general concern with language has been a hallmark of what is often described as the ‘linguistic turn’ in philosophy, an explicit concern with rhetoric and its relationship to social science has, until recently, tended to be under-examined. In some respects this neglect might well reflect a lasting uneasiness as to the relationship between science and rhetoric. To what extent is rhetoric a legitimate part of social analyses? A prevalent claim in contemporary social theory is that all we have are different rhetorical strategies, that there is nothing more than this. This article seeks to challenge this view, arguing that while rhetoric is an inescapable aspect of social analysis it is still important to distinguish between good/bad, better/worse rhetorical strategies. In order to do this I focus upon the rhetorical strategy adopted by a group of writers who have sought to defend the powerful claim that there is a corrupting causal relationship between pornography and its male audience. In so doing I show that there are grounds for evaluating rhetorical strategies in social analyses and, more than this, that it is important that we do so for both the ethical and epistemological status of social science.
Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance

Fitness landscape analysis has focussed on many different aspects of optimisation problems such as ruggedness, neutrality, epistasis and evolvability. Although many techniques have been proposed, there are very few that have been shown to be practically useful as predictors of algorithm performance. This paper investigates three metrics related to the structure of fitness landscapes of continuous problems: a ruggedness measure based on entropy, a dispersion index measure for detecting the presence of funnels and a new proposed technique for estimating gradients. Results on a range of benchmark problems show that all proposed measures show some correlation to performance of a traditional particle swarm optimisation (PSO) algorithm on the same benchmark problems. The three metrics could therefore have value as part-predictors of PSO performance on unknown problems if used in conjunction with measures approximating other features that have been linked to problem difficulty for PSOs.
Gamification and student motivation

The literature suggests that gamified learning interventions may increase student engagement and enhance learning. We empirically investigate this by exploring the impact of intrinsic and extrinsic motivation on the participation and performance of over 100 undergraduate students in an online gamified learning intervention. The paper makes a number of contributions. First, by synthesizing the literature the central concepts required for a learning intervention to be considered gamified are mapped and the development of an online gamified learning intervention is described. Second, the effect of gamification on learning outcomes is examined using a pre- and post-intervention survey. We find that gamified learning interventions have a positive impact on student learning. Third, our results show that while generally positive, the impact of gamified intervention*ns on student participation varies depending on whether the student is motivated intrinsically or extrinsically. These findings will be of practical interest to teaching and learning practitioners working in a range of educational contexts, and at all levels of education, who wish to increase student engagement and enhance learning.
Moon landform images fusion and Mosaic based on SIFT method

Image Fusion and Mosaic is one of important technologies for image processing. Its objective is to mix many of images with overlapping each other into one image. In this paper, Image Fusion and Mosaic is applied to handle many moon landform image from Chang'E-1 satallite data. An moon landform image fusion and mosaic method base SIFT is proposed. Firstly, moon image information from Chang'E-1 Satelliate data is introduced. And then, features of SIFT is analysised, which contains generation of scale-space, space extreme detection and key point location and processing, images matches and fusion. Finally, four moon image from CE-1 data is mosaic using the proposed mothed, and Simulation results show the effectiveness of the proposed image fusion and mosaic method.
Effect of the Production of Dried Fruits and Juice from Chokeberry (Aronia melanocarpa L.) on the Content and Antioxidative Activity of Bioactive Compounds

The aim of this study was to evaluate the production of dried fruits and juices from chokeberry as potential sources of bioactive compounds with beneficial effects on human health. Dry powders and juices from chokeberry were analyzed for the contents of sugars with high-performance liquid chromatography coupled with an evaporative light scattering detector (HPLC-ELSD method), and the antioxidant capacity was analyzed by the FRAP (ferric-reducing ability of plasma) and ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid)) tests. Polyphenols were identified by high performance liquid chromatography (HPLC) coupled with a tandem mass spectrometer and a photodiode-array detector (LC-PDA-ESI-MS/MS), and their quantitative analysis was carried out by UPLC-MS/MS (using a Q/TOF detector and a PDA detector). A total of 27 polyphenolic compounds was identified in chokeberry products, including 7 anthocyanins, 11 flavonols, 5 phenolic acids, 3 flavan-3-ols and 1 flavanone. Three anthocyanin derivatives were reported for the first time from chokeberry fruit. A higher activity of the bioactive compounds was determined in dried fruit pomace and in juice obtained from crushed fruits than in those from the whole fruits. In addition, the pomace was found to be a better material for the production of dry powders, compared to chokeberry fruits.
Teaching comments: intercultural communication skills in the digital age

This paper explores the pedagogical and conceptual issues that accompany the integration of intercultural communication skills into the secondary curriculum by analyzing the interactions of 102 adolescents in Spain and the USA during a 15-week, classroom-based, international online exchange. Focusing on the skills of discovery and interaction within a model of intercultural communicative competence, I examined the ways in which adolescent students displayed these skills through their online comments as well as the extent to which participants themselves perceived that their partnerships were successful. The findings from this study demonstrate that the adolescents displayed a range of interactional features that have been previously documented as interculturally strategic in research with post-secondary students engaged in similar online exchange projects. Such skills form part of a larger construct of intercultural communicative competence that, in turn, folds into the types of new literacy skills needed to write, read, communicate, produce, consume, and critique in a digital age. This kind of critical engagement with literacy fosters contexts in which students can grapple with authentic intercultural interactions and better understand how the words and symbols they send and receive position them as their own representatives and as representatives of their immediate communities and larger cultural groups.
Addressing Crime in Companies: First Findings from a Global Survey of Economic Crime

Economic crime was examined in a global survey of more than 5,500 companies. This survey combines information on companies, company victimization and on the detection and processing of 2,900 incidents of economic crime. Results show that economic crime is widespread and risks are underestimated by companies. Approximately half of the perpetrators were company insiders, with senior/top management being particularly over-represented. Companies are developing a number of control and prevention strategies to cope with the risks of economic crime. Nonetheless, the most frequent response worldwide is not to bring criminal charges, particularly against perpetrators from within the company. Companies' reactions are often motivated by minimizing the loss of reputation, which results in privileged treatment for both internal and high-status economic crime offenders.
Comprehensive Study of the Intestinal Stage of Listeriosis in a Rat Ligated Ileal Loop System

ABSTRACT The intestinal stage of listeriosis was studied in a rat ligated ileal loop system. Listeria monocytogenes translocated to deep organs with similar efficiencies after inoculation of loops with or without Peyer’s patches. Bacterial seeding of deep organs was demonstrated as early as 15 min after inoculation. It was dose dependent and nonspecific, as the ΔinlAB, theΔhly, and the ΔactA L. monocytogenesmutants and the nonpathogenic species, Listeria innocua, translocated similarly to wild-type L. monocytogenesstrains. The levels of uptake of listeriae by Peyer’s patches and villous intestine were similar and low, 50 to 250 CFU per cm2 of tissue. No listeria cells crossing the epithelial sheet of Peyer’s patches and villous intestine were observed by transmission electron microscopy. The lack of significant interaction of listeriae and the follicle-associated epithelium of Peyer’s patches was confirmed by scanning electron microscopy. The follicular tissue of Peyer’s patches was a preferential site of Listeriareplication. With all doses tested, the rate of bacterial growth was 10 to 20 times higher in Peyer’s patches than in villous intestine. At early stages of Peyer’s patch infection, listeriae were observed inside mononuclear cells of the dome area. Listeriae then disseminated throughout the follicular tissue except for the germinal center. The virulence determinants hly and, to a lesser extent,actA, but not inlAB, were required for the completion of this process. This study suggests that Peyer’s patches are preferential sites for replication rather than for entry ofL. monocytogenes, due to the presence of highly permissive mononuclear cells whose nature remains to be defined.
Out of bounds? Racial discourse on college basketball message boards

While the frequency of overt racism has decreased in most public spaces, being replaced by more subtly racialized narratives, the Internet appears to be an exception where explicit racism continues to proliferate. Online message boards dedicated to US collegiate basketball are sites where groups dominated by white male users discuss the lives and performances of young, primarily black, student-athletes. Against this backdrop, the current study investigated the racialized nature of discourse on college basketball message boards in cases where players were involved in disciplinary incidents. We found that, although overt mention of race was rare in these spaces, racialized assumptions and expectations often still shaped interpretations of players' actions. Reasons for the presence of such ‘colour-blind’ discourse are discussed.
From Ethnography to Engagement: The Lab as a Site of Intervention

The Vilnius Declaration (2013) expresses strong faith in the abilities of the social sciences and humanities (SSH) to contribute to European research and innovation efforts. Its arguments for the relevance of SSH center on these fields’ resources for anticipating, interpreting and addressing the societal dimensions of natural and technical sciences—not only piecemeal and after the fact, but rather as an integrated component of the research process. The document responds to the need for a situational ethics that must accompany the knowledge and know-how of science and technology (Hackett, 2014). That the Declaration’s sentiments appear to be reflected in the design of Horizon 2020, the European Union’s new research and innovation program, is an encouraging sign of support for scholars seeking to inform and help shape the outcomes of research and innovation by drawing from theoretical insights on science–society dynamics. The purpose and value of SSH integration, however, may not be intuitively obvious and requires reflection on its interpretive, normative and instrumental roles (Jasanoff, 2011). Similarly, the shape of its contributions is likely to depend on several factors, including the formulation of expectations, the choice of intervention sites, and the design of new forms of interaction and collaboration. Alongside questions about why SSH should be integrated in research and innovation, we must therefore also ask how and in what form integration might be Science as Culture, 2014 Vol. 23, No. 3, 419–431, http://dx.doi. org/10.1080/09505431.2014. 926147
A Critical Analysis of Accountability in Higher Education

Accountability, which is closely related to evaluation of efficiency, effectiveness, and performance, requires proving that higher education has achieved planned results and performance in an effective manner. Highlighting efficiency and effectiveness and emphasizing results and outcomes are the basic characteristics of accountability in higher education. Evaluating higher education is a major approach for implementing accountability as well as a basic means of assuring quality. Strengthening quality assurance by means of evaluations reflects a new culture of accountability in the higher education governance. The inherent complexity of the higher education process determines the difficulty of accountability and of measuring performance. In order to realize the objective of ensuring and improving quality and avoid unfavorable effects on institutional autonomy, China's higher education evaluation should absorb existing experiences, use helpful foreign experiences as reference, and initiate creative explorations.
Ecology, language, and performance on spatial cognitive tasks

The study of the orientation systems that people use in different cultures to describe the location of objects in space has drawn some interest of researchers in the fields of anthropology, psycholinguistics, and cognitive psychology. There has been a rethinking of the “linguistic relativity hypothesis,” and some empirical studies tend to support the notion that language is the major determinant of encoding and cognitive performance on spatial tasks. This paper reports a crosscultural study carried out with 545 children aged 4 to 14 years, both schooled and unschooled, in India and Nepal. The field sites were selected taking into consideration how reference to spatial locations is organized in the language as well as in the local cultural practices. In a village near Varanansi in India, people organize spatial locations mainly with reference to cardinal directions, but in the city of Varanasi, relative references are also used, although people in both the locations speak the same language (i.e., Hindi). I.
Graph-based semi-supervised learning for phone and segment classification

This paper presents several novel contributions to the emerging framework of graph-based semi-supervised learning for speech processing. First, we apply graphbased learning to variable-length segments rather than to the fixed-length vector representations that have been used previously. As part of this work we compare various graph-based learners, and we utilize an efficient feature selection technique for high-dimensional feature spaces that alleviates computational costs and improves the performance of graph-based learners. Finally, we present a method to improve regularization during the learning process. Experimental evaluation on the TIMIT frame and segment classification tasks demonstrates that the graphbased classifiers outperform standard baseline classifiers; furthermore, we find that the best learning algorithms are those that can incorporate prior knowledge.
An Efficient A* Search Algorithm for Statistical Machine Translation

In this paper, we describe an efficient A* search algorithm for statistical machine translation. In contrary to beam-search or greedy approaches it is possible to guarantee the avoidance of search errors with A*. We develop various so-phisticated admissible and almost admissible heuristic functions. Especially our newly developped method to perform a multi-pass A* search with an iteratively improved heuristic function allows us to translate even long sentences. We compare the A* search algorithm with a beam-search approach on the Hansards task.
Image super-resolution with multi-channel convolutional neural networks

This paper proposes image super-resolution techniques with multi-channel convolutional neural networks (CNN). In the proposed method, output pixels are classified into four groups depending on their positions. Those groups are generated from separate channels of the CNN. Finally, they are synthesized into a 2-2 magnified image. This architecture can enlarge images directly without bicubic interpolation. Experimental results have shown that the average PSNR for the proposed method achieves 36.88 dB, which is 0.39 dB higher than that for the conventional SRCNN.
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System

The focus of this paper is to present the architecture of a Big-distributed Intrusion Detection System (B-dIDS) to discover multi-pronged attacks which are anomalies existing across multiple subnets in a distributed network. The B-dIDS is composed of two key components: a big data processing engine and an analytics engine. The big data processing is done through HAMR, which is a next generation in-memory MapReduce engine. HAMR has reported high speedups over existing big data solutions across several analytics algorithms. The analytics engine comprises a novel ensemble algorithm, which extracts training data from clusters of the multiple IDS alarms. The clustering is utilized as a preprocessing step to re-label the datasets based on their high similarity to known potential attacks. The overall aim is to predict multi-pronged attacks that are spread across multiple subnets but can be missed if not evaluated in an integrated manner.
Low complexity margin adaptive resource allocation in downlink MIMO-OFDMA system

We study the downlink multiuser Multiple Input Multiple Output-Orthogonal Frequency Division Multiple Access (MIMO-OFDMA) system for margin adaptive resource allocation where the base station (BS) has to satisfy individual quality of service (QoS) constraints of the users subject to transmit power minimization. Low complexity solutions involve beamforming techniques for multiuser inter-stream interference cancellation. However, when beamforming is introduced in the margin adaptive objective, it becomes a joint beamforming and resource allocation problem. We propose a sub-optimal two-step solution which decouples beamforming from subcarrier and power allocation. First a reduced number of user groups are formed and then the problem is formulated as a convex optimization problem. Finally an efficient algorithm is developed which allocates the best user group to each subcarrier. Simulation results reveal comparable performance with the hugely complex optimal solution.
Estimating Individual Rater Reliabilities from Analysis of Treatment Effects

RATING scales are widely used in psychiatric and psychological research. Evaluation of reliability has tended to focus on the rating instrument without due consideration for the fact that reliabilities of ratings depend upon the skill of the raters. The so-called interrater reliability coefficient, computed as the correlation between ratings by two raters, is an average estimate in which the reliabilities of two individual raters are combined. The theoretical position taken in this article is that each rater is a test instrument. We will conceive of raters as &dquo;linear transformation filters&dquo; such that, except for random errors of measurement, rating scores reflect within a linear transformation the levels or values of some
A Concept Grounding Approach for Glove-Based Gesture Recognition

Glove-based systems are an important option in the field of gesture recognition. They are designed to recognize meaningful expressions of hand motion. In our daily lives, we use our hands for interacting with the environment around us in many tasks. Our glove-based gesture recognition is focused on developing technologies for studying the motion and interaction with a data glove which can augment the capabilities of some users to perform some tasks. This idea is relevant to many research areas, for example: design and manufacturing, information visualization, robotics, sign language understanding, medicine and health Care. In this paper, we proposed a new concept grounding approach for glove-based gesture recognition. We record the data from finger sensors and then abstract and extract concepts from the data. This allow us to construct conceptual levels which we can use to study interaction and manipulation for users during their activities.
Halton Sequences for Mixed Logit

The simulation variance in the estimation of mixed logit parameters is found, in our application, to be lower with 100 Halton draws than with 1000 random draws. This finding confirms Bhat's (1999a) results and implies significant reduction in run times for mixed logit estimation. Further investigation is needed to assure that the result is not quixotic or masking other issues.
A retrospective analysis of obstetric patient's outcome in intensive care unit of a tertiary care center

Background and Aims: Admission to an intensive care unit (ICU) is considered as an objective marker of severe maternal morbidity. The aim was to assess the incidence and possible risk factors of obstetric patient admissions in the multidisciplinary ICU of a tertiary care center with emphasis on standardized mortality ratio (SMR). Material and Methods: A retrospective five year ICU record analysis was done for all pregnant women, who were admitted to multidisciplinary ICU of a tertiary care hospital during June 2007-12. Results: During this 5-year period, 21,943 deliveries took place and 164 women required ICU admission. Out of these, the data of 151 patients were analyzed. Maternal mortality rate was 31.1% (47 deaths) for patients admitted to ICU. The simplified acute physiologic score (SAPS) II was 62 (55-68) in nonsurvivor versus 34.00 (28-46) in survivor group (P value < 0.001). The receiver operated characteristic curve was plotted using SAPS II scores and the area under the curve was 0.93 with 95% confidence interval (0.89-0.96). The calculated SMR was 0.97. Conclusions: Women admitted to ICU with diagnosis of puerperal sepsis and intrauterine death (IUD) with coexisting sepsis had higher mortality as compared to women with hypertensive disease of pregnancy and hemorrhage. The calculated SMR was less than one which is a predictor of good ICU care.