Miracle-dz/UniFAR-FTUs huggingface dataset:
THE FIRST INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING PRINCIPLES AND TECHNIQUES (KEPT 2007)

Semantic relatedness refers to the degree to which two concepts or words are related. Humans are able to easily judge if a pair of words are related in some way. For example, most people would agree that apple and orange are more related than are apple and toothbrush. Semantic similarity is a subset of semantic relatedness. In this article we describe several methods for computing the similarity of two words, following two directions: dictionary-based methods that use WordNet, Roget’s thesaurus, or other resources; and corpus-based methods that use frequencies of co-occurrence in corpora (cosine method, latent semantic indexing, mutual information, etc). Then, we present results for several applications of word similarity knowledge: solving TOEFL-style synonym questions, detecting words that do not fit into their context in order to detect speech recognition errors, and synonym choice in context, for writing aid tools. We also present a method for computing the similarity of two short texts, based on the similarities of their words. Applications of text similarity knowledge include: designing exercises for second language-learning, acquisition of domain-specific corpora, information retrieval, and text categorization. Before concluding, we briefly describe cross-language extensions of the methods for similarity of words and texts. 1. Methods for Word Similarity Semantic relatedness refers to the degree to which two concepts or words are related (or not) whereas semantic similarity is a special case or a subset of semantic relatedness. Humans are able to easily judge if a pair of words are related in some way. For example, most would agree that apple and orange are more related than are apple and toothbrush. Budanitsky and Hirst [4] point out that semantic similarity is used when similar entities such as apple and orange or table and furniture are compared. These entities are close to each other in an is-a hierarchy. For example, apple and orange are hyponyms of fruit and table is a hyponym of furniture. However, even dissimilar entities may be semantically related, for example, glass and water, tree and shade, or gym and weights. In this Received by the editors: June 19, 2007. 2000 Mathematics Subject Classification. 91F20, 68T35. 1998 CR Categories and Descriptors. [I.2. 7]: Natural Language Processing; [I.2. 4]: Knowledge Representation Formalisms and Methods.
Heuristics for Speeding Up Betweenness Centrality Computation

We propose and evaluate two complementary heuristics to speed up exact computation of the shortest-path between ness centrality. Both heuristics are relatively simple adaptations of the standard algorithm for between ness centrality. Consequently, they generalize the computation of edge between ness and most other variants, and can be used to further speed up between ness estimation algorithms, as well. In the first heuristic, structurally equivalent vertices are contracted based on the observation that they have the same centrality and also contribute equally to the centrality of others. In the second heuristic, we first apply a linear-time between ness algorithm on the block-cut point tree and then compute the remaining contributions separately in each biconnected component. Experiments on a variety of large graphs illustrate the efficiency and complementarity of our heuristics.
The Effects of Motion and Spatio-temporal Non-uniform Illumination on Image-pair Joint Scattergrams

Accurate and robust image change detection and motion segmentation has been of substantial interest in the image processing and computer vision communities. Spatio-temporal illumination effects such as complex lighting effects involving moving light bands or moving shadow bands can confuse existing motion segmentation algorithms, which are based on analysing the greyscale image directly. While efforts have been made to improve the robustness of motion segmentation algorithms under varying illumination, the results to date are still not completely satisfactory. We propose using the joint scattergram between two images as the representational space for analyzing motion. These scattergrams have properties which can distinguish motion from complex illumination changes. We verify these properties of the scattergram on image datasets captured in the laboratory as well as outdoors and show its utility as a robust representational domain
Induced plant responses in willow to a gall-forming insect

The interaction between the basket willow Salix viminalis, and the gall midge Dasineura marginemtorquens, includes responses known to enhance as well as reduce herbivore performance i.e., gall formation, and hypersensitive response (HR), respectively. There is large genotypic variation in resistance in S.viminalis against D. marginemtorquens. In the first of two studies in this thesis we report, variation in larval survival and induced plant responses within a full-sib S. viminalis family. Resistance (larval mortality) was associated with HR, but to different degrees among willow genotypes. Hydrogen peroxide, used as a marker for HR, was induced in genotypes expressing HR but not in resistant genotypes without symptoms. These data suggest that production of hydrogen peroxide, and accompanying cell death, cannot explain larval mortality in the symptomless reaction. Another, yet unknown, mechanism of resistance may therefore be present. If so, then it is possible that this unknown mechanism also contributes to resistance in plants displaying HR. Resistant willows usually have a very few galled leaves, whereas on the great majority of leaves all larvae die before any galls are formed. This observation, of high but not complete resistance, formed the basis for the second study. We found support for rapid induced susceptibility i.e., factors acting on the target leaf immediately before and during gall formation, but no support for delayed induced susceptibility, i.e., responses induced in the shoot the previous year and expressed when leaves develop the next season. In a combined greenhouse and field experiment the possibilities that susceptibility was induced by abiotic factors at the time of gall initiation were tested. Although resistance remained strong, significantly more leaves with surviving larvae, and galls were found on potted plants moved to the field, compared with identical plants that remained in the greenhouse. These findings suggest that plasticity in plant resistance may be linked to ambient light conditions. This system is a semi-natural one, where no intentional breeding for insect resistance has taken place. The interaction between S. viminalis and D.marginemtorquens includes responses and phenomena important for understanding plant-herbivore interactions in general. Thus, results from this research contribute to general models of plant resistance as well as to breeding programs in connection with short-rotation forestry based on willow.
An IOT Based System: a Trust Application for Health System

The beginning of the Internet of Things (IoT) period, the quantity of IoT gadgets and sensors is expanding enormously. Our paper is worried about a well being IoT framework comprising of different IoT gadgets conveyed by individuals from an ecological well being group. We are here with proposing a new trust-based basic leadership convention that utilizations trust-based data sharing among the well being IoT gadgets, with the goal that an aggregate information base can be worked to rate the earth at a specific area and time. This learning would empower an IoT gadget following up in the interest of its client to choose either or not it should visit this place/condition for well being reasons. Dissimilar to existing put stock in administration conventions, our trust-based well being IoT convention considers chance arrangement, unwavering quality trust, and loss of well being likelihood as three plan measurements for basic leadership, bringing about a convention appropriate for basic leadership in well being IoT frameworks. Our convention is versatile to boisterous detecting information gave by IoT gadgets either inadvertently or deliberately. We display execution information of our trust-based well being IoT convention and direct a near execution investigation of our convention with two gauge conventions to exhibit the plausibility.
Coding for shared satellite channel communications

This paper investigates the design and performance of a two-user satellite communication system. Each user is independently encoded using a structured Turbo code with identical symbol interleavers. This permits Turbo decoding to be performed using the combined component code trellises, which provides significant gains over independent decoding. The design of the code-matched symbol interleavers is described. Both ideal and imperfect knowledge of the relative phase shift between users is considered. Performance is compared to the single user case and the performance degradation due to a third unknown user is considered. These investigations show that the proposed system performs well in a variety of conditions.
Remote Usability Evaluation System (e-RUE)

Usability evaluation is part of the software development cycle. Throughout the years, various methodologies have been used to evaluate software effectiveness, efficiency and satisfaction. The capabilities of Internet technologies has make possible to run usability evaluation remotely via online. The usability evaluation can be run from different geographical locations between the respondents, experts and researchers. This paper discusses the development of online remote usability evaluation (e-RUE) in a Web-based environment. The development of e-RUE is a possible solution for usability evaluation.
Multivariate Testing of Native Mobile Applications

A/B testing has a long history in web development and is used on a daily basis by many companies. Although it is a common test method for web pages, it is hardly used for native mobile applications. The reason seems to be that it is much more difficult to change the user interface of a mobile application, which has been downloaded from an app store, than that of a web page which is fetched from a server by request. In this paper, we present an approach for A/B testing of native mobile applications. Furthermore, it allows for the more flexible multivariate testing, which is based on the same mechanisms as A/B testing, but compares a much higher number of variants by combining variations for different sections of the user interface. Our proposed approach works without redeployment of the mobile application in the app store and thus allows for a seamless integration into the developer's workflow with low effort for creating and deploying new variants. We implemented a prototype solution for the Android platform and compared it against other A/B testing products. It shows that our solution requires less effort and is more convenient to use than related products. Moreover, it is the only one which allows for multivariate testing of native mobile applications.
Distinguishing depression and suicidal risk in men using GMM based frequency contents of affective vocal tract response

Two types of speech recording collected from three groups of male subjects clinically diagnosed with depression, remission from depression, and suicidal potential were analyzed and investigated for their acoustic features derived from sub-band energy over 0-2 KHz and GMM-based spectrum of the vocal tract response. Spontaneous and text-reading speech samples characterized by different vocal features revealed significant between-class separation power. Especially, features extracted from the reading speech seemed to provide more separability between classes than those of the spontaneous speech. Additionally, high classification accuracy confirmed that the studied features were capable of distinguishing groups of different diagnostic subjects efficiently. In classifying depressed/suicidal subjects the correct score of classification was at 88.5% for features extracted from reading speech samples, while 85.58% was found from classifying spontaneous speech features. These results were considered to be fairly high in classification performance, which is supportive of the promising ability to distinguish two diagnostic groups whose speech samples changed in their acoustic properties and correlated of serious mental states, known as vocal affects. Our findings suggested some clues in diagnosis of psychiatric disorders for psychiatrist.
Interaction between IGBT, diode and parasitic inductances during short-circuit type 3

During short-circuit type 3 which occurs when the freewheeling diode conducts current and the anti-parallel IGBT is switched on the current commutates from the diode to the IGBT and vice versa. This commutation between the semiconductor includes parasitic inductances on the module substrate which are not optimized. During the short-circuit type 3 the avalanche of the diode, the collector-emitter voltage at the beginning of the short-circuit, the voltage stress of the semiconductor and the current mismatch between the IGBTs are influenced by the parasitic inductances. In this paper the inductance on substrate level is measured and the influence on the short-circuit behavior is presented with the help of measurements and simulations. The behavior of the IGBT during the short-circuit especially at the beginning is explained with the help of the parasitic inductances. Moreover an equivalent circuit for the substrate inductances between IGBT and diode is discussed.
WIDEBAND CIRCULARLY POLARIZED UHF RFID READER ANTENNA WITH HIGH GAIN AND WIDE AXIAL RATIO BEAMWIDTHS

A broadband circularly polarized patch antenna with high gain and wide axial ratio beamwidths is proposed for ultra-high- frequency (UHF) RF identiflcation (RFID) applications in this paper. The antenna is composed of a square patch, a feed network printed on the bottom side of the substrates and an antenna radome. The CP radiation of the proposed antenna is excited by four cylinder probes which transmit four signals that have equal amplitude with quadrature phase difierence (0 - , 90 - , 180 - , and 270 - ) generated from the feed network. To obtain an optimum peak gain and a broad CP bandwidth, 100› isolation resistor is omitted in the feed network for obtaining high radiation e-ciency, and the efiects of varying the feed positions and dimensions of the various parameters on the antenna performances are respectively investigated. Simulation results are compared with the measurements, and a good agreement is obtained. The measured results show that the proposed antenna can provide broad impendence bandwidth of 19.7% (815{993MHz) (re∞ection coe-cient less than i15dB), a maximum gain of 9.65dBi, and a 3-dB axial ratio (AR) bandwidth of about 11% (860{960MHz). The results indicate that the proposed antenna is an excellent candidate for UHF RFID reader system. At last, read performance of the proposed antenna array in RFID systems is presented, which verify the superior features of the proposed antenna in practical RFID system applications.
Compensated Horner algorithm in K times the working precision

We introduce an algorithm to evaluate a polynomial with floating point coefficients as accurately as the Horner scheme performed in K times the working precision, for K an arbitrary integer. The principle is to iterate the error-free transformation of the compensated Horner algorithm and to accurately sum the final decomposition. We prove this accuracy property with an apriori error analysis. We illustrate its practical efficiency with numerical experiments on significant environments and IEEE-754 arithmetic. Comparing to existing alternatives we conclude that this K-times compensated algorithm is competitive for K up to 4, i.e. up to 212 mantissa bits.
Faical Expression Recognition by Combining Texture and Geometrical Features

Most of the existing facial expression recognition methods are based on either only texture features or only geometrical features. In this paper, we propose to improve the performance of facial expression recognition by combining both types of features using fuzzy integral. The geometric features used are the displacements of positions of feature points on the face. We first embed them in a lower dimensional manifold space, then use a modified version of Support Vector Machine (SVM) as the classifier. The texture features are boosted Gabor features. Since the dimension of Gabor features is quite high, we use Adaboost to select the most important features and then use SVM to classify them for different emotions. Finally, we combine these two methods using fuzzy integral. The experiment results show that our method significantly improves the performance of facial expression recognition.
Resource-limited information retrieval in a distributed environment

In commercial information retrieval, a trade-off exists between relevance, cost, and time. We present a sound theoretical framework for reseurce-limited information retrieval that enables a user to search for relevant information given time and cost constraints. To use this framework, information providers have to specify estimates of search and retrieval times in addition to contents and accounting information.
Effects of Print Publication Lag in Dual Format Journals on Scientometric Indicators

Background Publication lag between manuscript submission and its final publication is considered as an important factor affecting the decision to submit, the timeliness of presented data, and the scientometric measures of the particular journal. Dual-format peer-reviewed journals (publishing both print and online editions of their content) adopted a broadly accepted strategy to shorten the publication lag: to publish the accepted manuscripts online ahead of their print editions, which may follow days, but also years later. Effects of this widespread habit on the immediacy index (average number of times an article is cited in the year it is published) calculation were never analyzed. Methodology/Principal Findings Scopus database (which contains nearly up-to-date documents in press, but does not reveal citations by these documents until they are finalized) was searched for the journals with the highest total counts of articles in press, or highest counts of articles in press appearing online in 2010–2011. Number of citations received by the articles in press available online was found to be nearly equal to citations received within the year when the document was assigned to a journal issue. Thus, online publication of in press articles affects severely the calculation of immediacy index of their source titles, and disadvantages online-only and print-only journals when evaluating them according to the immediacy index and probably also according to the impact factor and similar measures. Conclusions/Significance Caution should be taken when evaluating dual-format journals supporting long publication lag. Further research should answer the question, on whether the immediacy index should be replaced by an indicator based on the date of first publication (online or in print, whichever comes first) to eliminate the problems analyzed in this report. Information value of immediacy index is further questioned by very high ratio of authors’ self-citations among the citation window used for its calculation.
Comparison of sentence similarity measures for Russian paraphrase identification

In this paper we analyze and compare different types of sentence similarity measures applied to the problem of sentential paraphrase identification. We work with Russian, and all the experiments are conducted on the Russian paraphrase corpus we have collected from the news headlines (and are collecting at the moment). Apart from the similarity measures, we also analyze the corpus itself. As a result of the research we disprove the supposition that it is more difficult to distinguish between precise and loose paraphrases than between loose paraphrases and non-paraphrases. We also come up with the recommendations for the application of different similarity measures to identifying paraphrases derived from the news texts.
Interaction between Darunavir and Etravirine Is Partly Mediated by CYP3A5 Polymorphism

Objectives To assess the impact of the loss-of-function CYP3A5*3 allele (rs776746, 6986A>G SNP) on darunavir (DRV) plasma concentrations. Methods 135 HIV-1 infected patients treated with DRV-based therapy were included in the study and plasma samples were obtained immediately before drug intake in order to determine DRV trough concentrations using an ultra performance liquid chromatography method (UPLC) with diode-array detection (DAD). Noteworthy is the fact that in 16 (11.9%) patients, etravirine (ETR) was combined with DRV. CYP3A5 genotypes were determined using real time PCR method (TaqMan® genotyping assay). The patients were then classified into CYP3A5 expressors (CYP3A5*1 allele carriers) and non-expressors (CYP3A5*3 homozygous). Subsequently, the association between DRV plasma trough concentration ([DRV]plasma) and CYP3A5 genotype-based expression status was analyzed. Results 45% of the patients were classified as CYP3A5 expressors. In the whole cohort, mean [DRV]plasma was not different between CYP3A5 expressors and non-expressors (1894ng/ml [CI95%: 1566–2290] versus 1737ng/ml [CI95%: 1468–2057], p = 0.43). However, in the subgroup of the 16 patients receiving DRV combined with ETR, a significantly lower [DRV]plasma was observed for CYP3A5 expressors when compared to non-expressors (1385ng/ml [CI95%:886.3–2165] versus 3141ng/ml [CI95%:2042–4831], p = 0.007). Conclusions Interaction between DRV and ETR is partly mediated by CYP3A5 polymorphism with lower DRV plasma trough concentrations in CYP3A5 expressors suggesting a specific ETR-driven CYP3A5 activation only in CYP3A5 expressors. Consequently, these patients might be more at risk of infra-therapeutic [DRV]plasma. This potentially important observation is a good illustration of a genotype-based drug interaction, which could also have considerable consequences if translated to other CYP3A5-metabolized drugs. Further investigations are thus needed to confirm this association and to explore its clinical impact, mainly in the African population among whom CYP3A5 expressors are more frequent, before recommending systematic CYP3A5 pre-emptive genotyping for DRV-ETR co-administration.
E-Business: Factors of EAI Adoption in an Australian Electricity Company

The awareness of the scarcity of literature in EAI adoption in the public sector led to the current study of an investigation into the factors that influenced the adoption of EAI in an Australian electricity company. Using a case study approach and qualitative methods, data was collected through semi-structured interviews with five informants from different aspects of the EAI project. Data analysis was conducted using the grounded theory, resulting in 24 themes, which were then categorized into three broad themes of environmental influence, current problems and perceived benefits. These themes were taken as factors that contributed to the decision making of the EAI project of the case company. The informants considered environmental change as the trigger for the adjustment of the case organization’s strategy. However, they all shared the view that the adoption of EAI was the consequence of a clear identification of the strategic positioning of the organization, the understanding of existing inhibitors and the awareness of the benefits of a chosen technology.