Miracle-dz/UniFAR-FTUs huggingface dataset:
Ontology summarization based on rdf sentence graph

Ontology summarization is very important to quick understanding and selection of ontologies. In this paper, we study extractive summarization of ontology. We propose a notion of RDF sentence as the basic unit of summarization. An RDF Sentence Graph is proposed to characterize the links between RDF sentences derived from a given ontology. The salience of each RDF sentence is assessed in terms of its "centrality" in the graph. We propose to summarize an ontology by extracting a set of salient RDF sentences according to a re-ranking strategy. We compare several measurements in assessing the salience of RDF sentences and give an overall evaluation of experiment results, which shows that our approach to ontology summarization is feasible.
Optimizing Ice Slurry Ingestion for Endurance Performance in the Heat: A Meta-Analysis

Introduction Environmental heat has been well documented to impact negatively athletes during high-intensity, long duration competitions. Exercising in high temperature and/or high humidity decreases time to exhaustion, increases heat storage, and reduces endurance performance (Nybo, Rasmussen, & Sawka, 2014). For elite endurance athletes competing at the highest level, performance in the heat has been shown to be impaired by ~3% compared to thermoneutral competition conditions (Guy, Deakin, Edwards, Miller, & Pyne, 2015). Considering the smallest worthwhile variation in elite endurance runners is less than 2.5% (Hopkins & Hewson, 2001), strategies that could eff ectively mitigate the negative infl uences of heat are highly relevant to the medal perspective for elite athletes competing in hot and humid environments. Not surprisingly, there is an ever-increasing interest in active cooling strategies for high-intensity sports that are of a long duration in challenging environments. Successful interventions include cold water immersion, cooling vests, cold/ ice drinks that can be applied as pre-cooling and/or during exercise (Bongers, Th ijssen, Veltmeijer, Hopman, & Eijsvogels, 2015). Active cooling strategies are recognized by both practitioners and sports scientists for the successful participation in endurance exercise in the heat. Interestingly, ice slurry ingestion has been reported to be the most prevalent cooling strategy amongst elite athletes preparing for the 2015 World Athletics Championships (Periard et al., 2017). While the specifi c reason for the popularity of ice slurry ingestion amongst elite athletes is not known, one of the possible reasons could be that ice slurry ingestion represents an eff ective yet practical intervention for fi eld applications. When employed as a pre-cooling intervention, ice slurry ingestion could eff ectively reduce core temperature at the commencement of exercise and, such eff ect could be carried over during the early stage of exercise, thus acting as a heat sink in challenging environments (Naito, Iribe, & Ogaki, 2017; Siegel et al., 2010). It has been reported Abstract
LED to LED Communication using WDM

Interestingly Visible Light Communication is gaining much interest by researchers due to its some unique advantages over Radio Frequency. In this paper we will look at the possibilities of LED to LED communication using different color LED as a sensor (called Wavelength Division Multiplexing). This technology has quit unique applications. One can discover the way to use it appropriately.
Improved FPGA based X-Box Mapping of an Image using Steganography Technique

Image steganography is a method of keeping the data in another image that will be recognized only by the recipient who will be receiving this data. No one is able to treasure the original data, only recipient can. Here, an improved version of Xbox mapping for an image using steganography technique is presented[1]. Steganography is the way of keeping data or information in an image which cannot be seen by naked eyes. Only the recipient knows where the data is. Least SignificantBit (LSB) is most famous technique used in steganography techniques as it is easy and has large covering capacity. XBox technique is only used for inserting different values. In this mapping method, X-Box will give safety of values and these values will be stored in random manner and that cannot be detected.
Impact of Biomass Burning Aerosols on the Diurnal Cycle of Convective Clouds and Precipitation Over a Tropical Island

A coupled weather‐aerosol model is used to study the effect of biomass burning aerosols on deep convection over the Borneo Island and surrounding oceans. Simulations are performed at the convection‐permitting scale (4 km) for 40 days during the boreal summer and include interactive fire emissions and the aerosol effect on radiative and microphysical processes. Intense burning occurs daily in the southern part of the island, and smoke propagates northward to regions of deep convection. The model captures well the observed diurnal cycle of precipitation and high cloud cover. Cloud microphysics and radiative aerosol impacts are considered separately. Modifications of the cloud microphysics by smoke aerosols reinforce deep convection near the central Borneo mountainous region. This reinforced convection is due to reduced shallow precipitation in the afternoon that leads to a warm planetary boundary layer anomaly at sunset enhancing deep convection at night. Aerosol absorptive properties strongly affect local and synoptic atmospheric responses. The radiative processes of moderately absorbing aerosols tend to reduce deep convection over most regions due to local surface cooling and atmosphere warming that increase the static stability. For more absorbing aerosols, however, the impact is reversed with increased nighttime convection over most regions. This is partly related to changes in the vertical water vapor divergence profiles that decrease the convergence toward Borneo for moderately absorbing aerosols and increase it for more absorbing ones. These changes in the synoptic circulation due to large‐scale aerosol perturbations are as important as local processes to explain the observed rainfall perturbation patterns.
Pseudoescorpiones (Arachnida: Pseudoscorpiones) del nororiente andino de Colombia

An exploration of diversity of the Order Pseudoscorpiones in the noreastern Andean region of Colombia was carried out. The arachnological collection of the Instituto de Ciencias Naturales was revised and sampling was carried out at three sites in departments of Santander and Norte de Santander for a week by manually sifting leaf litter. A total of nine morphospecies in six genera of the families Tridenchthoniidae, Syarinidae, Olpiidae, Withiidae and Chernetidae are reported. The geographic distribution of Ideobisium puertoricense and altitudinal range of Ideobisium peckorum is increased. The family Tridenchthoniidae is recorded for the first time in Colombia.
J ENA E CONOMIC R ESEARCH P APERS

Summary. This paper is concerned with the relationship between innovative success of entrepreneurs and their prior knowledge at the stage of ﬁrm formation. We distinguish between diﬀerent kinds of experience an entrepreneur can possess and ﬁnd evidence that the innovative success subsequent to ﬁrm formation is enhanced by entrepreneur’s prior technological knowledge but not by prior market and organizational knowledge. Moreover we ﬁnd that prior technological knowledge gathered through embeddedness within a research community has an additionally positive inﬂuence on post start-up innovative success. This is a ﬁrst hint towards the importance of collective innovation activities
Intercultural trust. An experiment in Austria and Japan

We show that the level of trust and reciprocity in an intercultural trust game experiment between Austrian and Japanese subjects differs from the results of an intracultural experiment run in the respective countries among compatriots. Austrian subjects show significantly higher levels of trust towards Japanese subjects than towards fellow countrymen. Japanese do not differentiate between Austrian or Japanese subjects. Japanese subjects are found to be less reciprocal than Austrian subjects. A post-experimental survey reveals differences in culture-specific dispositions between the two countries that can explain the country-specific differences.
The Influence of Restricted Viewing Conditions on Egocentric Distance Perception: Implications for Real and Virtual Indoor Environments

We carried out three experiments to examine the influence of field of view and binocular viewing restrictions on absolute distance perception in real-world indoor environments. Few of the classical visual cues provide direct information for accurate absolute distance judgments to points in the environment beyond about 2 m from the viewer. Nevertheless, in previous work it has been found that visually directed walking tasks reveal accurate distance estimations in full-cue real-world environments to distances up to 20 m. In contrast, the same tasks in virtual environments produced with head-mounted displays (HMDs) show large compression of distance. Field of view and binocular viewing are common limitations in research with HMDs, and have been rarely studied under full pictorial-cue conditions in the context of distance perception in the real-world. Experiment 1 showed that the view of one's body and feet on the floor was not necessary for accurate distance perception. In experiment 2 we manipulated the horizontal and the vertical field of view along with head rotation and found that a restricted field of view did not affect the accuracy of distance estimations when head movement was allowed. Experiment 3 showed that performance with monocular viewing was equal to that with binocular viewing. These results have implications for the information needed to scale egocentric distance in the real-world and reduce the support for the hypothesis that a limited field of view or imperfections in binocular image presentation are the cause of the underestimation seen with HMDs.
The B.E. Journals in Economic Analysis & Policy

We implemented the ﬁrst web-based online ﬁeld experiments of fund-raising. We embedded our experiment in the Internet Public Library to test four mechanisms: Voluntary Contribution (VCM), Premium, Seed Money and Matching. Although the gift size is not signiﬁcantly different across mechanisms, the Seed and Matching mechanisms each generate signiﬁcantly higher user click-through response rate than the Premium mechanism. Because this is one of the earliest embedded, web-based ﬁeld experiments, we report our methodology ﬁndings in some detail. Cookies work better as participant assignment techniques than pop-up windows and elicitation of geographic information. Participant clickstream data that nominally demonstrate a desire to donate is a poor predictor of actual giving.
Disability and Rehabilitation : Assistive Technology

Purpose: To review the scientific literature published in the last 14 years on the different types of manual wheelchairs. Method: A systematic review of the literature was conducted to find the recent research on manual wheelchairs. Results: The findings of 77 references on pushrim-propelled wheelchairs, crank-propelled wheelchairs, lever-propelled wheelchairs, geared manual wheelchairs and pushrim-activated power-assist wheelchairs are reported. Conclusion: The pushrim-propelled wheelchair is light, easy to steer and has good indoor manoeuvrability but is very inefficient and causes serious upper body overloading so that long-term use leads to steadily deteriorating capability for the user and ultimately a transition to a powered chair. Whilst the latter is less physically demanding, the sedentary lifestyle and decreasing muscle use lead to several secondary health problems. Crankand lever-propelled wheelchairs and geared pushrim wheelchairs are more efficient and less demanding and may improve the quality of life of the user by expanding the range of accessible environments, reducing upper body pain, increasing independence and avoiding or delaying the ‘debilitating cycle’. However, wheelchairs with these alternative modes of propulsion are often heavier, wider and/or longer and are less easy to steer, brake and fold than the pushrim wheelchair. IMPLICATIONS FOR REHABILITATION Pushrim-propelled wheelchairs are difficult to drive on outdoor paths (grass and gravel/sand surfaces) and ramps so that users are confined to restricted environments and have limited participation in everyday activities. The repetitive strain imposed on the upper body by pushrim propulsion leads to very high prevalence of shoulder and wrist pain in manual wheelchair users. Crank-propelled and lever-propelled wheelchairs are more efficient and less straining than pushrim propelled wheelchairs, allowing users to access more challenging environments, prolong independence and improve the quality of life. ARTICLE HISTORY Received 29 June 2015 Revised 14 September 2015 Accepted 21 September 2015 Published online 15 October 2015
FUZZY AND NEURO-FUZZY MODELLING AND CONTROL OF NONLINEAR SYSTEMS

The fuzzy logic is closer in spirit to human thinking and natural language than conventional logical systems. This provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. [1] The ability of fuzzy logic to handle imprecise and inconsistent real-world data made it suitable for a wide variety of applications. In particular, the methodology of the fuzzy logic controller (FLC) appears very useful when the processes are too complex for analysis by conventional quantitative techniques or when the available sources of information are interpreted qualitatively, inexactly, or with uncertainty. [2] Thus fuzzy logic control may be viewed as a step toward a rapprochement between conventional precise mathematical control and human – like decision making.
An Evaluation of Primary School Children coding using a text-based language (Java)

Copyright and reuse: The Worcester Research and Publications (WRaP) makes this work available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRaP has been checked for eligibility before being made available.
StaDynA: Addressing the Problem of Dynamic Code Updates in the Security Analysis of Android Applications

Static analysis of Android applications can be hindered by the presence of the popular dynamic code update techniques: dynamic class loading and reflection. Recent Android malware samples do actually use these mechanisms to conceal their malicious behavior from static analyzers. These techniques defuse even the most recent static analyzers that usually operate under the "closed world" assumption (the targets of reflective calls can be resolved at analysis time; only classes reachable from the class path at analysis time are used at runtime). Our proposed solution allows existing static analyzers to remove this assumption. This is achieved by combining static and dynamic analysis of applications in order to reveal the hidden/updated behavior and extend static analysis results with this information. This paper presents design, implementation and preliminary evaluation results of our solution called StaDynA.
University of

The development of a large number of domain-independent planners is leading to the use of planning engines in a wide range of applications. This is despite the complexity issues inherent in plan generation, which are exacerbated by the separation of planner logic from domain knowledge. However, this separation supports the use of reformulation and conﬁgu-ration techniques, which transform the model representation in order to improve the planner’s performance. In this paper, we investigate how the performance of domain-independent planners can be improved by problem model conﬁguration. We introduce a fully automated method for this conﬁguration task, that considers problem-speciﬁc aspects extracted by exploiting a problem-and domain-independent representation of the instance. Our extensive experimental analysis shows that this reformulation technique can have a signiﬁcant impact on planners’ performance.
Unsupervised Segmentation of Texture Images Using a Combination of Gabor and Wavelet Features

This paper presents an unsupervised method of texture classification by combining the two most commonly used multi-resolution, multi-channel filters: Gabor filters and wavelet transform. We used a set of 8 Gabor filters and 2 wavelet filters: Daubeschies and Haar, for our analysis. The parameters (viz. frequency, orientation and size) of the Gabor filter bank are obtained by trial and error method, based on visual observation of an energy measure of the response. A fuzzy classifier has been used which uses no a priori knowledge of the textures and hence provides unsupervised segmentation. For comparing the performance of the features from the Gabor filter bank, the two wavelet filters separately and a combination of all the three, the classification algorithm was kept identical. A combination of Gabor and wavelet features provides better performance compared to the individual features alone.
Introduction to the state of knowledge review

Biodiversity is at the heart of the intricate web of life on earth and the processes essential to its survival. Our planet’s biological resources are not only shaped by natural evolutionary processes but are also increasingly transformed by anthropogenic activity, population pressures and globalizing tendencies. When human activity threatens these resources, or the complex ecosystems of which they are a part, it poses potential risks to millions of people whose livelihoods, health and well-being are sustained by them. e increasingly complex global health challenges that we face, including poverty, malnutrition, infectious diseases and the growing burden of noncommunicable diseases (NCDs), are more intimately tied than ever to the complex interactions between ecosystems, people and socioeconomic processes. These considerations are also at the heart of the post- 2015 Development Agenda and the Sustainable Development Goals
Risk Matters : The Real Effects of Volatility Shocks June 9

We show how changes in the volatility of the real interest rate at which small open emerging economies borrow have an important effect on variables like output, consumption, investment, and hours. We start by documenting the strong evidence of time-varying volatility in the real interest rates faced by four emerging economies: Argentina, Ecuador, Venezuela, and Brazil. We estimate a stochastic volatility process for real interest rates. Then, we feed this process in a standard small open economy business cycle model. We find that an increase in real interest rate volatility triggers a fall in output, consumption, investment, hours, and debt.
Focusing on the Essential : in Display Design ConsideringATTENTION

tion enhance the viewing experience by allowing for deeper immersion. Recent research shows that a wider field of view can lead to increased performance in productivity tasks [2]. Over the past years, industry has been addressing the resulting demand by offering displays of steadily increasing resolution, reaching resolutions of over nine million pixels (IBM T220 display). Although high resolution is desirable for a variety of applications, it results in an ongoing challenge for creators of rendering hardware, as the large number of pixels makes these displays especially hungry for computational resources.
A Model for Matching Semantic Maps between Languages (French/English, English/French)

This article describes a spatial model for matching semantic values between two languages, French and English. Based on semantic similarity links, the model constructs a map that represents a word in the source language. Then the algorithm projects the map values onto a space in the target language. The new space abides by the semantic similarity links specific to the second language. Then the two maps are projected onto the same plane in order to detect overlapping values. For instructional purposes, the different steps are presented here using a few examples. The entire set of results is available at the following address: http://dico.isc. cnrs.fr.
In the Moment : The Effect of Mindfulness 5 on Ethical Decision Making 6

14 ABSTRACT. Many unethical decisions stem from a lack 15 of awareness. In this article, we consider how mindful16 ness, an individual’s awareness of his or her present 17 experience, impacts ethical decision making. In our first 18 study, we demonstrate that compared to individuals low 19 in mindfulness, individuals high in mindfulness report that 20 they are more likely to act ethically, are more likely to 21 value upholding ethical standards (self-importance of 22 moral identity, SMI), and are more likely to use a prin23 cipled approach to ethical decision making (formalism). 24 In our second study, we test this relationship with a novel 25 behavioral measure of unethical behavior: the carbonless 26 anagram method (CAM). We find that of participants 27 who cheated, compared to individuals low in mindful28 ness, individuals high in mindfulness cheated less. Taken 29 together, our results demonstrate important connections 30 between mindfulness and ethical decision making.
Supply of Venture Capital by European Governments

1 Vlerick Leuven Gent Management School and Ghent University Faculty of Economics and Business Administration, Department of Corporate Finance, Kuiperskaai 55, 9000 Gent Belgium; (T) +32 (0)9/2643508; (F) +32 (0)9/2643577; sophie.manigart@rug.ac. be 2 Ghent University, Faculty of Economics and Business Administration, Department of Corporate Finance, Kuiperskaai 55, 9000 Gent Belgium; (T) +32 (0)9/2643515; (F) +32 (0)9/2643577; christof.beuselinck@rug.ac. be
Decentralized Route Planning across the Web of Data

Decentralized Route Planning across the Web of Data Wheelchair users looking for accessible public transport routes, tourists discovering attractive routes to go around a new city, or bicycle users trying to avoid highly polluted routes are some examples where highly individualized route planning is needed. Current route planning applications lack query flexibility. The types of queries supported by a route planner are only determined at design time and heavily depend on centralized pre-selected data sources. Integrating a new data source such as another transport mode, a different road network or wheelchair accessibility is not straightforward as it generally requires human intervention to extend the subjacent data model and route planning algorithm implementation. I investigate how relevant data sources available on the Web can be dynamically reused for answering custom queries, and thus allow creating more flexible and personalized route planning applications. Semantic Web and Linked Data technologies provide a common framework for data integration. Yet it is still unclear how relevant data can be automatically reused while remaining independent from specific route planning algorithm implementations. Preliminary work (i) tests the feasibility of solving route planning queries over live and static public transport data sources on the Web, (ii) explores the trade-offs of different Web APIs for publishing and consuming live data streams on the Web and (iii) introduces a Linked Data based approach for publishing road networks data.