Miracle-dz/UniFAR-FTUs huggingface dataset:
Book Review: Ontology Learning from Text: Methods, Evaluation and Applications, edited by Paul Buitelaar, Philipp Cimiano and Bernado Magnini

This volume brings together ontology learning, knowledge acquisition and other related topics. It presents current research in ontology learning, addressing three perspectives. The first perspective looks at methodologies that have been proposed to automatically extract information from texts and to give a structured organization to such knowledge, including approaches based on machine learning techniques. Then there are evaluation methods for ontology learning, aiming at defining procedures and metrics for a quantitative evaluation of the ontology learning task; and finally application scenarios that make ontology learning a challenging area in the context of real applications such as bio-informatics. According to the three perspectives mentioned above, the book is divided into three sections, each including a selection of papers addressing respectively the methods, the applications and the evaluation of ontology learning approaches.
The Development of Second Language Proficiency: Process-product research on second language learning in classrooms

Doing research on how instructional variation affects learning in classroom settings is one of the most frustrating endeavors known. When the classroom setting is one in which a second language is being taught and learned, the researcher is immediately faced with a major theoretical problem: There is little agreement among theorists about the relationship between the actual samples of the language that learners are exposed to (whether in or out of classrooms) and the rules and systems that eventually characterize their knowledge of the language (see White 1985b). Beyond this very fundamental theoretical controversy, all the uncertainty associated with educational research must be added: the impossibility of identifying comparable control groups or ensuring random selection for treatment groups; the influence of unmeasured variables such as momentary motivation and attendveness; the problem of knowing what happens in the classroom environment when no observer is present; the fact that in second language situations, learning continues outside the classroom. Some classroom-centered research is done by the blissfully uninformed. The researcher carefully counts the occurrences of some seemingly interesting phenomenon in one teacher's speech or behavior and compares it to that of another teacher and confidently infers that any differences in student performance are related to these observed teacher behaviors. Indeed, some researchers do not even go so far as the second step (correlating some instructional difference with differences in outcome). They go directly from observation to recommendation, having concluded in advance that more (or less) error correction, more (or less) simplified syntax, more (or fewer) information questions facilitate learning.
Modeling Intraindividual Variability With Repeated Measures Data : Methods and Applications

Contents: Preface. D.A. Kenny, N. Bolger, D.A. Kashy, Traditional Methods for Estimating Multilevel Models. S.W. Raudenbush, Alternative Covariance Structures for Polynomial Models of Individual Growth and Change. P.J. Curran, A.M. Hussong, Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis. J.O. Ramsay, Multilevel Modeling of Longitudinal and Functional Data. D. Wallace, S.B. Green, Analysis of Repeated Measures Designs With Linear Mixed Models. J.D. Singer, Fitting Individual Growth Models Using SAS PROC MIXED. T.E. Duncan, S.C. Duncan, F. Li, L.A. Strycker, Multilevel Modeling of Longitudinal and Functional Data. S. Hillmer, Times Series Regressions. J.R. Nesselroade, J.J. McArdle, S.H. Aggen, J.M. Meyers, Dynamic Factor Analysis Models for Representing Process in Multivariate Time-Series.
Expert systems for structural design : a new generation

expert systems for structural design a new generation. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the expert systems for structural design a new generation your needed book now? That's true; you are really a good reader. This is a perfect book that comes from great author to share with you. The book offers the best experience and lesson to take, not only take, but also learn.
Clinical Implications of Minority HIV-1 Resistant Variants

Aquesta tesi doctoral per compendi de publicacions avalua la importancia clinica de les variants del VIH-1 minoritaries que alberguen mutacions de resistencia. La primera publicacio presenta una avaluacio sistematica de la PCR especifica d'al·lel (ASPCR) com a eina per detectar variants viriques minoritaries que amb mutacions de resistencia a la transcriptasa inversa (M184V, M184I) i proteasa (regions de D30N), aixi com a la envolta (V38A). A la segona publicacio, utilitzem aquesta tecnica conjuntament amb d'altres per caracteritzar amb alta resolucio la dinamica de perdua de mutants M184V a pacients infectats amb el VIH-1 resistents a multiples tractaments i que interrompen tractament amb inhibidors de la transcriptasa inversa i continuen amb inhibidors de la proteasa. Aquest estudi mostra que la ASPCR es pot utilitzar per calcular la fitness de variants al·lelics particulars in vivo i ajuda a millorar la nostra comprensio de dinamica de la quasispecie viral en presencia i absencia de tractament antiretroviral. La tercera publicacio mostra com es pot aplicar la deteccio de mutants minoritaries a l'estudi de la resistencia antiretroviral primaria, duplicant o triplicant la prevalenca de mutacions de resistencia en comparacio amb sequenciacio poblacional de virus a plasma. A la quarta publicacio, mostrem que dones embarassades infectades pel VIH-1 i naive als antiretrovirals frequentment seleccionen mutacions de resistencia a antiretrovirals amb barrera baix genetica durant terapia antiretroviral limitada a l'embaras; de nou, la frequencia de mutacions de resistencia augmenta mes de dues vegades amb l'assaig d'ASPCR. Aquests descobriment te implicacions cliniques importants, doncs les dones que seleccionin mutacions de resistencia durant la terapia antiretroviral limitada a l'embaras tenen mes risc de fracassar a un tractament antiretroviral despres del part. A la cinquena publicacio demostrem que la deteccio de variants minoritaries resistents als analegs de la transcriptasa inversa no-nucleosids s'associa a un increment del risc de fracas virologic a una primera linea de tractament antiretroviral amb efavirenz als pacients que prenen el farmac correctament. En resum, aquest treball demostra que les variants del VIH minoritaries resistent, que sovint no es detecten pels assaigs de resistencies estandards, modifiquen la resposta al tractament antiretroviral i per aixo son d'una importancia clinica essencial.
An adaptive hybrid genetic-annealing approach for solving the map problem on belief networks

Genetic algorithms (GAs) and simulated annealing (SA) are two important search methods that have been used successfully in solving difficult problems such as combinatorial optimization problems. Genetic algorithms are capable of wide exploration of the search space, while simulated annealing is capable of fine tuning a good solution. Combining both techniques may result in achieving the benefits of both and improving the quality of the solutions obtained. Several attempts have been made to hybridize GAs and SA. One such attempt was to augment a standard GA with simulated annealing as a genetic operator. SA in that case acted as a directed or intelligent mutation operator as opposed to the random, undirected mutation operator of GAs. Although using this technique showed some advantages over GA used alone, one problem was to find fixed global annealing parameters that work for all solutions and all stages in the search process. Failing to find optimum annealing parameters affects the quality of the solution obtained and may degrade performance. In this research, we try to overcome this weakness by introducing an adaptive hybrid GA - SA algorithm, in which simulated annealing acts as a special case of mutation. However, the annealing operator used in this technique is adaptive in the sense that the annealing parameters are evolved and optimized according to the requirements of the search process. Adaptation is expected to help guide the search towards optimum solutions with minimum effort of parameter optimization. The
Structure analysis and lesion detection from retinal fundus images

Ocular pathology is one of the main health problems worldwide. The number of people with retinopathy symptoms has increased considerably in recent years. Early adequate treatment has demonstrated to be effective to avoid the loss of the vision. The analysis of fundus images is a non intrusive option for periodical retinal screening. Different models designed for the analysis of retinal images are based on supervised methods, which require of hand labelled images and processing time as part of the training stage. On the other hand most of the methods have been designed under the basis of specific characteristics of the retinal images (e.g. field of view, resolution). This compromises its performance to a reduce group of retinal image with similar features. For these reasons an unsupervised model for the analysis of retinal image is required, a model that can work without human supervision or interaction. And that is able to perform on retinal images with different characteristics. In this research, we have worked on the development of this type of model. The system locates the eye structures (e.g. optic disc and blood vessels) as first step. Later, these structures are masked out from the retinal image in order to create a clear field to perform the lesion detection. We have selected the Graph Cut technique as a base to design the retinal structures segmentation methods. This selection allows incorporating prior knowledge to constraint the searching for the optimal segmentation. Different link weight assignments were formulated in order to attend the specific needs of the retinal structures (e.g. shape).
Concepts of Human-Robot Cooperation for a new Medical Robot

In this paper, hands-on concepts for the new medical robot KineMedic are presented and exemplified through a biopsy application. Hands-on provides, by simply touching and moving the robot structure, a highly intuitive user interface for robot positioning. The KineMedic has an anthropomorphic structure with 7 DoF and is fully torque controlled. Due to the kinematic redundancy, the presented hands-on concept is particularly suitable since it allows not only for the TCP positioning but also for the adjustment of the robot pose. Furthermore, split duty is possible through the implemented control structure, i.e. motions commanded by the user through haptic interaction can be mapped into a space of user-controllable motions both in Cartesian and joint space, whereas the remaining motion space is controlled by the robotic system.
SISTEM DETEKSI WAJAH PADA OPEN SOURCE PHYSICAL COMPUTING

Face detection is one of the interesting research area. Majority of this research implemented on a computer. Development of face detection on a computer requires a significant investment costs. In addition to having to spend the cost of procurement of computers, is also required for operational cost such as electricity use, because the computer requires large power/watt.This research is proposed to build a face detection system using Arduino. The system will be autonomous, in other word the role of computer will be replaced by Arduino. Arduino is used is Arduino Mega 2560 with specifications microcontroller AT MEGA 2560, a speed of 16 MHz, 256 KB flash memory, 8 KB SRAM, 4 KB EEPROM. So not all face detection algorithm can be implemented on the Arduino. The limitations of memory owned by the arduino will be resolved by applying the method of template matching using the facial features in the form of a template that is shaped like a mask. Detection rate achieved in this study is 80% - 100%. Where, in the Arduino's success in identifying the face are influenced by the distance between the camera with the human face and human movement.
Vision Based Robotic Control

The main objective of this project was to create a visual system for object tracking, and implement this on the new robotic lab at the Department of Production and Quality Engineering. There are used two identical KUKA Agilus manipulators with six rotating axes. The robot kinematics with the corresponding Denavit-Hartenberg representation are presented. The position based visual servoing method, used for robotic control, is shown with control loop and relations between the different coordinate bases and frames in the system. Computer vision is a large part of this thesis. The different camera parameters and how to obtain them are explained. The results show the importance of accurate camera calibration, and that one should avoid the temptation to leave out some parameters from the equation. This can cause large errors in the measurements. The SIFT object detection method is explained, and the performance is compared with another method named SURF. The tests show that while SURF is faster than SIFT, it is outperformed when it comes to the robustness of the algorithm. SIFT was therefore chosen for implementation at the lab. With the object detected, the manipulators movement needs to be calculated in order to position the camera in the desired position, which is 300mm perpendicular to the object. The algorithm calculates the rotational and translational offset between the current camera position and the desired camera pose. A proportional regulator is then applied to calculate the next small step on the desired trajectory for the Agilus manipulator. The practical setup of the robot cell is explained with each step needed in order to have a working vision system. The information flow in the system can be chaotic, and a graphic representation is therefore developed and show all steps from image capturing, to robotic movement, and plotting of the trajectories. Results are presented as plots for both distance calculations and the actual movement of the manipulator. The visual system tracks and follows the object successfully. There are however some issues with variations in the output from the object detection algorithm. This cause variations in the signal used as reference for the robot. A filter was able to reduce these variations, but not eliminate them. Possible solutions are presented and are believed to improve the speed and accuracy of the system if further investigated.
Feedback in EFL Writing : Integration of Students' Perceptions Over Time and at the End of Term

In the process writing approach, writing is generally considered as a recursive structure of pre−writing, writing, revising, and editing. In this process, revising has been considered an important factor in successful communication in final products (Bereiter & Scardamalia, 1987 ; Flower, Hayes, Carey, Schriver, & Stratman, 1986). It is crucial to write multiple drafts and receive a variety of comments on drafts from a real audience. Teacher, peer, and self−directed feedback have been used in writing classes as responses from the audience. In L2 writing, majority of previous studies on feedback are in ESL contexts and a few researchers have focused on EFL writing. In addition, most of them (e. g., Arndt, 1993 ; Carson & Nelson, 1996 ; Enginarlar, 1993 ; Ferris, 1995 ; Hedgcock & Lefkowitz, 1994, 1996 ; Jacobs, Curtis, Braine, & Huang, 1998 ; Zhang, 1995) have examined students’ opinions or perceptions. These studies either administered questionnaires and/or had interviews after students received feedback or at the end of the semester. No surveys have examined what feelings and opinions students have to feedback at different times. It is likely that students who are inexperienced in essay writing or unfamiliar with feedback have different reactions to feedback at the beginning and the end of the course. Examining feedback in EFL
Une approche basée donnée pour retrouver le point de vue d'un dessin de design

Le processus de design d'objet necessite de passer frequemment d'une representation 2D, le croquis, a une representation 3D. Parce que cette transformation est couteuse en temps, elle n'est pratiquee que lorsque le design est suffisamment avance. Nous proposons donc un premier pas vers des methodes permettant au designer de generer automatiquement une vue 3D a partir d'un croquis simple, en utilisant les specificites du dessin de design. Dans cet article, nous souhaitons dans un premier temps retrouver le point de vue selon lequel est dessine l'objet. Nous adoptons une approche basee donnee en mettant en correspondance le dessin avec des objets 3D de la meme classe. En particulier, nous relions les lignes de courbure et contours des objets 3D a des lignes similaires dessinees par les designers. Nos resultats sur des dessins de design suggerent que l'utilisation de ces deux informations donnent une meilleure precision comparativement a n'utiliser que l'une des deux. En particulier, l'information de courbure permet d'ameliorer l'alignement du point de vue quand les details de l'objet sont differents du dessin.
SFP Tool: una herramienta para medir puntos función

Resumen. En este articulo es presentado el software SFP Tool que permite medir el tamano funcional de un sistema software a partir de los escenarios generados en la Elicitacion de Requerimientos. Especificamente, esta herramienta semiautomatizada facilita la aplicacion del procedimiento Scenario Function Points. En comparacion con la medicion manual pueden observarse ventajas significativas, como son agilizar el proceso de medicion debido a la generacion automatica de los formularios, disponer del LEL y Escenarios del sistema y las reglas del procedimiento SFP, evitar inconsistencias y errores de calculo, y exportar los formularios a la planilla de calculo.
Knowledge Mining from Trained Neural Networks

Despite their diverse applications in many domains, neural networks are difficult to interpret owning the lack of mathematical models to express the training result. While adopting the rule extraction method to develop different algorithms, many researchers normally simplify a network's structure and then extract rules from the simplified networks. This type of data limits such conventional approaches when attempting to remove the unnecessary connections. In addition to developing network pruning and extraction algorithms, this work attempts to determine the important input nodes. In the proposed algorithms, the type of input data is not limited to binary, discrete or continuous. Moreover, two numerical examples are analyzed. Comparing the results from the proposed algorithms with those from See5 demonstrates the effectiveness of the proposed algorithms.
Kinematics of foldable discrete space cranes

Exact kinematic description of a NASA proposed prototype foldable-deployable discrete space crane are presented. A computer program is developed which maps the geometry of the crane once controlling parameters are specified. The program uses a building block type approach in which it calculates the local coordinates of each repeating cell and then combines them with respect to a global coordinates system.
Virtual Segment: Segmentation Method for Store-carry-forward Routing Schemes

In general, communication services based solely on the store-carryforward routing schemes suffer from the scalability problem, meaning that the buffer consumption and the delay time in message delivery increase linearly with the size of the service area. Our contribution aims at a practical framework to provide a wide service area of supporting large-size data exchanges among users or from/to the Internet in a high cost-performance way. The basic idea is to carefully divide the entire service area into some segments (in which a store-carry-forward routing scheme by vehicles could be effectively adopted) properly formed along the road, each of which can be regarded as a virtual hot-spot, and to persistently connect those segments by wired/wireless networks (i.e., by making short-cut). We have preliminarily evaluated our proposed framework in case that a simple epidemic routing scheme is used in each segment and confirmed our proposal could narrow the spread range of the epidemic routing and thus mitigate the huge delivery delay and the wasteful buffer consumption.
The formalisation of ORM2 and its encoding in OWL2

The Object Role Modelling language (ORM2) is a conceptual modelling language similar to UML and ER, adopted by Visual Studio, the integrated development environment from Microsoft. This paper introduces a new linear syntax and complete set-theoretic semantics for a generalisation of ORM2, which can be shown correctly embedding the original proposal. A provably correct encoding of the core fragment of ORM2 (similarly expressive to UML class diagrams) in the ALCQI description logic is presented. On the basis of these results, a systematic critique of alternative approaches to the formalisation of ORM2 in (description) logics published so far is provided. A prototype has been implemented providing a backend for the automated support of consistency and entailment checks for ORM2 conceptual schemas along with its translation into ALCQI knowledge bases.
Mapping Policy Preferences from Texts: Statistical Solutions for Manifesto Analysts

PART I: VALIDATED, AUTHORITATIVE, INDISPENSIBLE: THE MANIFESTO ESTIMATES IN POLITICAL RESEARCH PART II: VALIDITY GUARANTEES RELIABILITY: HIGH RELIABILITY LIMITS ERROR PART III: DELIVERING QUALITY DATA: COLLECTION, CODING, CONTROLS, COMMUNICATION PART IV: EXPLOITING THE MULTI-LEVEL ESTIMATES TO STUDY REPRESENTATION COMPARATIVELY
Semnet: three-dimensional graphic representa-tions of large knowledge bases

A gas collecting main, extruding coextensively of a coke oven battery, has a flexible, heat-resistant web closing one side. An apparatus that is mounted to, or that is movable synchronously with, a coke guide cooperates with the flexible web to provide an opening in the collecting main wherever the apparatus stops so that gases, emitted from a coking chamber when the doors are removed and while pushing coke, are directed into the collecting main only through such opening.
3D studio max 3

For any course in Digital Graphics, Web Design, Web Scripting and Development, Multimedia, Page Layout, Office Tools, and Operating Systems.These task-based, visual reference guides feature step-by-step instructions and plenty of screen shots to guide students and teachers through the most important tasks. Visual QuickStart Guides are the ideal way to get students up and running quickly, and are used for intermediate and advanced students as a quick reference.
Voice Application Development with VoiceXML

From the Publisher: Voice Application Development with Voice XML works from an application-centric approach, detailing how a programmer proficient in standard web application development tools and techniques can build voice-based applications and interfaces. The book presents both the structure and vocabulary of VoiceXML-the primary enabling technology for voice application development-as well as the best practices developed by the authors over years of voice interface design experience at Lucent.