Miracle-dz/UniFAR-FTUs huggingface dataset:
Book Reviews: EuroWordNet: A Multilingual Database with Lexical Semantic Networks

WordNet, the on-line English thesaurus and lexical database developed at Princeton University by George Miller and his colleagues (Fellbaum 1998), has proved to be an extremely important resource used in much research in computational linguistics where lexical knowledge of English is required. The goal of the EuroWordNet project is to create similar wordnets for other languages of Europe. The initial four languages are Dutch (at the University of Amsterdam), Italian (CNR, Pisa), Spanish (Fundacion Universidad Empresa), and English (University of Sheffield, adapting the original WordNet); later Czech, Estonian, German, and French will be added. The results of the project will be publicly available. 1 Like the original Princeton WordNet, the new wordnets--that 's now a generic term--are hierarchies in which each node is a synset: a word sense, with which one or more synonymous words or phrases is associated. The synsets are connected by relations such as hyponymy, meronymy, and antonymy. However, some improvements have been made to the original design of WordNet. New relationships, including relationships across parts of speech, have been introduced. For example, the verb adorn and the noun adornment are related by XPOSd~EAR_SYNONYMY; hyponymy and hyperonymy 2 across parts of speech are also permitted. Semantic roles of verbs are marked; for example, the noun student is related to the verb teach by ROLE_PATIENT; the inverse relationship is called INVOLVEDd~ATIENT. Another new relationship, both within and across parts of speech, is causality, which may further be marked as intentional or nonfactive; for example, to redden CAUSES red; to search CAUSES (nonfactive, intentional) to find. Meronymy is much more fine-grained than in Princeton WordNet, with a number of new kinds of part-whole relationships. The most important new development, however, is multilinguality: the use of a common framework to build the individual wordnets and integrate them in a single database in which an inter-lingual-index (ILI) connects the synsets that are "equivalent" in the different languages. EuroWordNet thus becomes a multilingual lexicon and thesaurus that could be used in applications such as multilingual text retrieval and (rather basic) lexical transfer in machine translation. The project has sought to
Grasping objects with holes: A topological approach

This work proposes a topologically inspired approach for generating robot grasps on objects with `holes'. Starting from a noisy point-cloud, we generate a simplicial representation of an object of interest and use a recently developed method for approximating shortest homology generators to identify graspable loops. To control the movement of the robot hand, a topologically motivated coordinate system is used in order to wrap the hand around such loops. Finally, another concept from topology - namely the Gauss linking integral - is adapted to serve as evidence for secure caging grasps after a grasp has been executed. We evaluate our approach in simulation on a Barrett hand using several target objects of different sizes and shapes and present an initial experiment with real sensor data.
Research of Remote Sensing Image Data Mining Technique Based on Web

The web was an information resource with dynamic state, to access and analyze the datum we must study how to integrate heterogeneous architecture datum and choose right techniques to analyze and integrate and manage the datum. In the paper, the datum of remote sensing image was analyzed, they were seriate and typical non-structure, and they had the characteristics with timeliness, spatial relativity, difficult to decompose and combination. A pretty flow and architecture were designed for the data mining of remote sensing image; the idea of the data integrated and transformed and designing data warehouse were advanced, also, an implementation method was presented for the key technology.
The 2000 outburst of the recurrent nova CI Aquilae: Optical spectroscopy

We present low- and medium resolution spectra of the recurrent nova CI Aquilae taken at 14 epochs in May and June, 2000. The overall appearance is similar to other U Sco-type recurrent novae (U Sco, V394 CrA). Medium resolution ($\lambda/\Delta\lambda\approx7000$-$10 000$) hydrogen and iron profiles suggest an early expansion velocity of 2000-2500 km s -1 . The H α evolution is followed from $\Delta t$ = -0.6 d to +53 d, starting from a nearly Gaussian shape to a double peaked profile through strong P-Cyg profiles. The interstellar component of the sodium D line and two diffuse interstellar bands put constraints on the interstellar reddening which is estimated to be $E(B-V)$=$0\fm85\pm0\fm3$. The available visual and CCD-V observations are used to determine t 0 , t 2 and t 3 . The resulting parameters are: $t_{\rm 0}=2451669.5 \pm 0.1$, $t_{\rm 2}=30\pm1$ d, $t_{\rm 3}=36\pm1$ d. The recent lightcurve is found to be generally similar to that observed in 1917 with departures as large as 1-2 mag in certain phases. This behaviour is also typical for the U Sco subclass.
The Research of Digital Predistortion Linearization Mechanism by Fuzzy Decision

With the continuous development of communication technology, the requirements of digital signal transmission are increasing. Linearization mechanism of digital predistortion technology is an important factor on the signal transmission quality. This paper describes the different linear mechanisms of digital pre-distortion technology, respectively parameter estimating method, look-up table method and polynomial method. In addition, based on fuzzy decision method, the study of the linear mechanism was conducted for UHF power amplifiers. The problem was analyzed, from intermodulation suppression, operating bandwidth, linearity improvement, efficiency and complexity, indicating that polynomial mechanism was suitable for UHF power amplifier linearization mechanism.
Spatio-Functional data Analysis : clustering methods for models discovering

In this paper we propose two clustering strategies for spatially referenced functional data. Both are model based approaches since a functional linear model is supposed to generate the elements of each cluster. A first proposal considers the problem of clustering curves that are realization of a random stochastic process. In this case functional sub-processes are discovered and their generative models are estimated in optimal unsampled locations of the space. A second one achieves simultaneously an optimal partition of the data and functional linear models which incorporate the spatial interaction among different functional variable in each cluster.
Mining Unexpected Sequential Patterns and Rules

Sequential pattern mining is the one most concentrated and applied in sequence mining research, it gives a frequency based view of the correlations between elements contained in the sequences. However, when we consider domain knowledge within the data mining process, the frequency based criterion becomes less interesting since most of the frequent sequences might have already been confirmed, and the most interesting sequences might not be the sequences corresponding to existing knowledge, but be the sequences contradicting existing knowledge that reflect unexpected behaviors. In this paper we introduce the problem of finding unexpected behaviors within the context of sequence mining. We first give formal descriptions of belief base and unexpected sequences, we then introduce unexpected sequential patterns and unexpectedness rules that depict unexpected behaviors within the sequences. We also propose the USER approach for mining unexpected sequential patterns and rules from a sequence database with respect to a given belief base. Our experimental results show that both of the quantity and the quality of the unexpected sequences extracted by the USER approach are improved in comparison with the frequent sequences extracted by general sequential pattern mining approaches.
Support-based distance measurement between lattices

Recently, there has been rapid growth in the volume of digital data from semi-structured and unstructured sources, such as web pages, images, videos, tweets, blog posts, and emails. The volume of data increases daily, making it difficult to access the data efficiently. To tackle the problems, we can represent the data in a summarised form using fuzzy formal concept lattices. In a situation where data is added dynamically, the concept lattices may evolve and the degree of change can be measured using a distance metric. In previous studies, we have successfully measured the change between two fuzzy lattices, based on pairing concepts in the two lattices and finding the cost of converting each concept to its counterpart. In this paper, we present a modification to the distance measurement, namely Support-based Distance Measurement. The aim of this method is to measure the change between lattices with disjoint sets of objects and identical attributes. The distance is found by considering the change in support (or relative cardinality) for each concept's extension. The method is illustrated by showing simple examples of its application to product review sites.
Opened Eyes, Opened Minds: The Story of a Collaborative Inquiry into Electronic Book Use in the Primary Reading Classroom

In order to prepare students to be globally competitive, teachers must equip them with the knowledge and skills to be successful in the 21 century. To this aim, school spending on ebooks and e-readers is at an all-time high, but evidence indicates teachers are not fully integrating them into the reading classroom. This qualitative study was grounded in sociocultural theory and explored veteran primary teachers’ knowledge of and persistent attitudes about using e-books in reading instruction. Within a collaborative inquiry group, five teachers explored the way to best use e-books in their primary reading classrooms. Through the cyclical process of planning, observing, acting, and reflecting, the teachers explored e-books during the meetings and then took them into the classroom to use with their students. Data sources included semi-structured interviews, participant observation notes, transcribed audio recordings, and reflective journals. Thematic and directed content analyses were used on the data, and findings of both analyses were presented in a pleated text that framed analytical texts with researcher notes. Findings demonstrated that there was an emotionality to reading books in traditional and electronic format, but by experimenting with the e-books in the supportive, dialogic context of the collaborative inquiry meeting, teachers changed both their knowledge of and persistent attitudes about electronic books. Important implications were noted for professional development coordinators, administrators, and policy-makers. INDEX WORDS: Electronic books, Teacher perceptions, Collaborative inquiry OPENED EYES, OPENED MINDS: THE STORY OF A COLLABORATIVE INQUIRY INTO ELECTRONIC BOOK USE IN THE PRIMARY READING CLASSROOM
An Update on Ovarian Aging and Ovarian Reserve Tests

Ovaries are the female organs that age more quickly than other tissues such as the uterus, the pituitary gland or pancreas. Different from males, an interesting question is why and how the females lose fertility so rapidly. During the aging process, both the number and quality of the oocytes in the ovaries decrease and reach to a point beyond that no more viable offspring may be produced and the associated cyclic endocrinological activities cease, entering the menopause in females at an average age of 50 years. Females who delayed childbearing with or without their willing until their 30 years or 40 years constitute the largest portion of the total infertility population. Ovarian reserve tests (ORTs) provide an indirect estimate of a female’s diminishing ovarian reserve or remaining follicular pool. This article briefly reviews recent progresses in relation to ovarian aging and ORTs.
The impact of masking of persuasive intent on persuasive message effectiveness

xi CHAPTER1: INTRODUCTION.1 INCORPORATING NONTRADITIONAL APPROACHES . 2 INTRODUCING MASKING OF PERSUASIVE INTENT . 3 INCLUDING A RESISTANCE TO PERSUASION MEASURE . 4 SUMMARY.5 CHAPTER 2: REVIEW OF LITERATURE.9 PERSUASION FRAMEWORK OF THE TRADITIONAL MESSAGE FORM.12 Attitude Change . 12 Mediating Processes.14 The Premise of the Process Models . 15 Distinctions between the ELM and HSM Models . 17 Frameworks Encompassing the Process Models . 18 Summary . 20 Antecedents.20 Recipient Characteristics . 20 Message.22 Source . 25 Context.27 Summary . 29 Overview.29 PERCEPTION OF MESSAGE FORM: AN ADDITION TO THE PERSUASION FRAMEWORK.30 Traditional Message Form of Advertising.30 Nontraditional/Hybrid Message Forms.33 Product Placement . 35 Placement Prominence: Movies versus Advertisement . 37 Placement Prominence: Combinations of Message Forms.37 Placement Prominence: Modality and Plot Connection . 38 Summary . 39 Overview.39 OUTCOMES OF MESSAGE FORM . 40 Persuasive Intent . 40 Resistance to Persuasion.42 Overview.44 v INCLUSION OF MESSAGE FORM IN PERSUASION FRAMEWORK.45 Masking of Persuasive Intent.46 Measures of the Mediating Processes . 48 Measuring the Absolute Amount of Processing . 48 Measuring the Relative Amount of Processing . 49 The Generalized Model.51 Confirmation of the Existing Persuasion Framework Relationships.52 Addition of Resistance to Persuasion to the Model . 54 Addition of Masking to the Model.55 The Message Form-Specific Model.56 Nature of Each Message Form.57 Moderator of Resistance to Persuasion and Attitude Change.59 Summary . 59 CHAPTER 3: RESEARCH METHODOLOGY . 60 PRE-TESTS . 60 Initial Pre-Tests.60 Additional Pre-Tests . 67 INDICATORS OF LATENT CONSTRUCTS.73 Moderator.77 Antecedents.78 Message.78 Source . 78 Context.79 Mediating Processes.79 Outcomes . 81 Summary . 82 EXPERIMENTAL DESIGN . 82 Subjects . 82 Research Design.83 ANALYSIS PLAN . 84 New Measures.84 The Masking Continuum . 85 The Generalized Model.85 Confirmation of Existing Persuasion Framework Relationships.86 Addition of Resistance to Persuasion to the Model . 87 Addition of Message Form (Masking of Persuasive Intent) to the Model . 87 Motivation as a Moderator.87 The Message Form-Specific Model.88 Moderator of Resistance to Persuasion and Attitude Change.91 Conclusion . 91 CHAPTER 4: RESULTS AND DISCUSSION.93 DATA PREPARATION.94 Missing Data . 94 Assessing Statistical Properties.94 Normality . 95 vi Linearity and Homoscedasticity . 96 Screening for Stimulus Recognition . 96 Preliminary Assessment of Construct Dimensionality . 96 CREATING THE MEASURES OF PROCESSING AND ATTITUDE CHANGE.100 Processing Measures.100 Attitude Change . 101 EVALUATING THE CONFIRMATORY FACTOR ANALYSIS . 101
Comparison of the Bruker MALDI-TOF Mass Spectrometry System and Conventional Phenotypic Methods for Identification of Gram-Positive Rods

In recent years, MALDI-TOF Mass Spectrometry (MS) method has emerged as a promising and a reliable tool for bacteria identification. In this study we compared Bruker MALDI-TOF MS and conventional phenotypic methods to identify a collection of 333 Gram-positive clinical isolates comprising 22 genera and 60 species. 16S rRNA sequencing was the reference molecular technique, and rpoB gene sequecing was used as a secondary gene target when 16Sr RNA did not allow species identification of Corynebacterium spp. We also investigate if score cut-offs values of ≥1,5 and ≥1,7 were accurate for genus and species-level identification using the Bruker system. Identification at species level was obtained for 92,49% of Gram-positive rods by MALDI-TOF MS compared to 85,89% by phenotypic method. Our data validates the score ≥1,5 for genus level and ≥1,7 for species-level identification in a large and diverse collection of Gram-positive rods. The present study has proved the accuracy of MALDI-TOF MS as an identification method in Gram-positive rods compared to currently used methods in routine laboratories.
Differential Geometry of g – Manifolds

An action of a Lie algebra g on a manifold M is just a Lie algebra homomorphism ζ : g → X(M). We define orbits for such an action. In general the space of orbits M/g is not a manifold and even has a bad topology. Nevertheless for a g-manifold with equidimensional orbits we treat such notions as connection, curvature, covariant differentiation, Bianchi identity, parallel transport, basic differential forms, basic cohomology, and characteristic classes, which generalize the corresponding notions for principal G-bundles. As one of the applications, we derive a sufficient condition for the projection M → M/g to be a bundle associated to a principal bundle.
Instant 3Descatter

Imaging in scattering media such as fog and water is important but challenging. Images suffer from poor visibility due to backscattering and signal attenuation. Most prior methods for visibility improvement use active illumination scanners (structured and gated), which are slow and cumbersome. On the other hand, natural illumination is inapplicable to dark environments. The current paper counters these deficiencies. We study the formation of images under wide field (non-scanning) artificial illumination. We discovered some characteristics of backscattered light empirically. Based on these, the paper presents a visibility recovery approach which also yields a rough estimate of the 3D scene structure. The method is simple and requires compact hardware, using active wide field polarized illumination. Two images of the scene are instantly taken, with different states of a camera-mounted polarizer. A recovery algorithm then follows. We demonstrate the approach in underwater field experiments.
Power-Laws in a Large Object-Oriented Software System

We present a comprehensive study of an implementation of the Smalltalk object oriented system, one of the first and purest object-oriented programming environment, searching for scaling laws in its properties. We study ten system properties, including the distributions of variable and method names, inheritance hierarchies, class and method sizes, system architecture graph. We systematically found Pareto - or sometimes log-normal - distributions in these properties. This denotes that the programming activity, even when modeled from a statistical perspective, can in no way be simply modeled as a random addition of independent increments with finite variance, but exhibits strong organic dependencies on what has been already developed. We compare our results with similar ones obtained for large Java systems, reported in the literature or computed by ourselves for those properties never studied before, showing that the behavior found is similar in all studied object oriented systems. We show how the Yule process is able to stochastically model the generation of several of the power-laws found, identifying the process parameters and comparing theoretical and empirical tail indexes. Lastly, we discuss how the distributions found are related to existing object-oriented metrics, like Chidamber and Kemerer's, and how they could provide a starting point for measuring the quality of a whole system, versus that of single classes. In fact, the usual evaluation of systems based on mean and standard deviation of metrics can be misleading. It is more interesting to measure differences in the shape and coefficients of the data? s statistical distributions.
The effect of layer-2 store-and-forward devices on per-hop capacity estimation

Tools such as pathchar, clink, and pchar attempt to measure the capacity of every layer-3 (L3) hop in a network path. These tools use the same underlying measurement methodology, which we refer to as Variable Packet Size (VPS) probing. The key assumption in VPS is that each L3 hop along a path increases the delay of a packet by a "serialization latency", which is the ratio of the packet size over that hop's capacity. Unfortunately, the capacity estimates of VPS tools are sometimes wrong. In this paper, we investigate the source of these errors, and show that the presence of layer-2 (L2) store-and-forward devices, such as Ethernet switches, have a detrimental effect on the accuracy of VPS tools. Specifically, each L2 store-and-forward device introduces an additional serialization latency in a packet's delay, which results in consistent underestimation of that L3 hop's capacity. We analyze this negative effect, deriving the measured capacity of an L3 hop as a function of the L2 link capacities at that hop. Experimental results in local, campus, and ISP networks verify the model, illustrating that L2 devices should be expected in networks of diverse type and size. Finally, we characterize some other sources of error in VPS tools, such as queueing delays, limited clock resolution, variation in ICMP generation delays, and error propagation along the measured path.
Consistency-Aware Search for Word Alignment

As conventional word alignment search algorithms usually ignore the consistency constraint in translation rule extraction, improving alignment accuracy does not necessarily increase translation quality. We propose to use coverage, which reflects how well extracted phrases can recover the training data, to enable word alignment to model consistency and correlate better with machine translation. This can be done by introducing an objective that maximizes both alignment model score and coverage. We introduce an efficient algorithm to calculate coverage on the fly during search. Experiments show that our consistency-aware search algorithm significantly outperforms both generative and discriminative alignment approaches across various languages and translation models.
QUANTIFICA TION OF VARIANCE ERROR

Thispaperaccuratelyquantifiestheway in which noiseinducedestimationerrors aredependent onmodelstructure,underlyingsystemfrequency response, measurement noise andinput excitation.This exposesseveralnew principles.In particular, it is shown herethat whenemploying Output–Errormodel structuresin a prediction-errorframework, then the ensuingestimatevariability in thefrequency domaindependson theunderlyingsystempole positions.As well, it is alsoestablishedthatthevariability is affectedby thechoiceof model structure,in thatit is twiceasmuchwhensystempolesareestimatedaswhenthey area-priori known andfixed,even thoughthe modelorderis the samein bothcases.Theseresultsare unexpectedaccordingto pre-existing theory.
Comparison of population based metaheuristics for feature selection: Application to microarray data classification

In this work we compare the use of a particle swarm optimization (PSO) and a genetic algorithm (GA) (both augmented with support vector machines SVM) for the classification of high dimensional microarray data. Both algorithms are used for finding small samples of informative genes amongst thousands of them. A SVM classifier with 10-fold cross-validation is applied in order to validate and evaluate the provided solutions. A first contribution is to prove that PSOSVM is able to find interesting genes and to provide classification competitive performance. Specifically, a new version of PSO, called geometric PSO, is empirically evaluated for the first time in this work. In this sense, a comparison of this approach with a new GASVM and also with other existing methods of literature is provided. A second important contribution consists in the actual discovery of new and challenging results on six public datasets identifying significant in the development of a variety of cancers (leukemia, breast, colon, ovarian, prostate, and lung).