Miracle-dz/UniFAR-FTUs huggingface dataset:
Manual for EAR 4 and CAAR Weka Plugins Case-Based Regression with Ensembles of Adaptations Version 1 . 0

EAR4 and CAAR are lazy learners applying the case-based reasoning (CBR) paradigm to numerical prediction tasks. Both augment standard instance-based learning methods by applying automatically generated case adaptation rules to adjust solutions of prior cases, and both apply ensembles of the generated rules. CAAR augments the EAR approach with a richer treatment of case context, more context-aware rule generation, and context-sensitive ranking of the generated adaptation rules. This manual describes installation and use of plugins enabling use of EAR4 and CAAR within the Weka workbench for machine learning.
Entre compétence et qualification, logiques et discours d'acteurs

L'objectif de l'article est d'examiner les dynamiques qui modifient les pratiques professionnelles de l'enseignant en lien avec la transformation organisationnelle des institutions de l'enseignement superieur caracterisees par la generalisation des outils technologiques. L'article passe d'abord en revue un certain nombre de facteurs favorables a la redefinition de la professionnalite enseignante puis montre que deux logiques s'affrontent : une logique de competence et une logique de qualification. L'article s'interroge sur la question de savoir si les universites, considerees en tant qu'« organisations pedagogiques », encouragent le developpement de nouvelles competences et l'integration des TIC dans les pratiques pedagogiques. Il evoque enfin la notion de la singularisation en tant que nouveau trait de l'identite professionnelle.
Examining the role of parental factors on depression among Urban African American youth living in public housing

ABSTRACT This study examined the potential risk and protective parental factors associated with depression among African American youth living in public housing. Utilizing a community-based participatory research approach, 239 African-American youth surveys were collected during 2013–2014 in two urban public housing developments with low socioeconomic profiles. Over half (52.3%) of the sample was in high school and female (58%). 65.3% reported living with their mother while 38% reported being employed. Bivariate analysis revealed significant correlations between depression and maternal substance abuse, paternal monitoring, parent-child relationship, and family time. Results from the regression analyses indicated that higher depression scores were significantly associated with youth who reported poor parent-child relationships, low levels of paternal supervision and high levels of maternal drug abuse. These findings provide support for claims about the importance of parent-child relationship and paternal monitoring as a protective factor for depressive symptoms, particularly during adolescence. Moreover, findings suggest that interventions which are targeted towards urban African American youth should address parental factors as a pathway to decrease depression among this population.
A fast external force model for snake-based image segmentation

Snakes have been extensively used for object segmentation and tracking in computer vision and image processing applications. One of these drawbacks is that they converge slowly, since inverse matrix is computed at each iteration. We have introduced a new external force model, called mean-shift flow field (MSFF). This external force model is computed by a novel and fast mean-shift mask. This type of snake has the feature that it can enhance the convergence rates, and at the same time, maintain the properties of the traditional and GVF snakes. A conventional parametric snake model relies on some functions of the object contour gradient; in contrast the proposed method bases on MSFF which offers an automatic and definite termination criterion. To demonstrate the effectiveness of our algorithm, we present the processing results from synthetic and real images. The experimental results show that by incorporating mean-shift information into the snake framework, the new snake model provides excellent convergence speed and stability.
Energy based synthesis of tension modulation in membranes

Above a certain amplitude, membrane vibration becomes nonlinear due to the variation of surface tension. This lead s to audible pitch glides, which greatly contribute to the cha racteristic timbre of tom-tom drums of the classical drum set and many other percussion instruments. Therefore, there is a strong motivation to take the tension modulation effect into account in drum synthesis. Some models do already exist that model this phenomenon, however, their computational complexity is significantly higher compared to linea r membrane models. This paper applies an efficient methodology previously developed for the string to model the quasistatic part (short-time average) of the surface tension. The efficient modeling is based on the linear relationship between the quasistatic tension and membrane energy, since the energy can be computed at a relatively low computational cost. When this energy-based tension modulation is added to linear membrane models, the perceptually most relevant pitch glides are accurately synthesized, while th e increase in computational complexity is negligible.
Integration of Endothelial Cells in Multicellular Spheroids Prevents Apoptosis and Induces Differentiation

Single endothelial cells (EC) seeded in suspension culture rapidly undergo apoptosis. Addition of survival factors, such as VEGF and FGF-2, does not prevent apoptosis of suspended EC. However, when cells are allowed to establish cell–cell contacts, they become responsive to the activities of survival factors. These observations have led to the development of a three-dimensional spheroid model of EC differentiation. EC spheroids remodel over time to establish a differentiated surface layer of EC and a center of unorganized EC that subsequently undergo apoptosis. Surface EC become quiescent, establish firm cell–cell contacts, and can be induced to express differentiation antigens (e.g., induction of CD34 expression by VEGF). In contrast, the unorganized center spheroid cells undergo apoptosis if they are not rescued by survival factors. The responsiveness to the survival factor activities of VEGF and FGF-2 was not dependent on cell shape changes since it was retained after cytochalasin D treatment. Taken together, these findings characterize survival factor requirements of unorganized EC and indicate that polarized surface EC differentiate to become independent of exogenous survival factors. Furthermore, they demonstrate that spheroid cell culture systems are useful not just for the study of tumor cells and embryonic stem cells but also for the analysis of differentiated functions of nontransformed cells.
Procrastination, Self-Esteem, Academic Performance, and Well-Being: A Moderated Mediation Model.

The current study attempts to provide a more detailed investigation regarding the effects of procrastination on well-being in a sample of Turkish undergraduate students (N = 348). Results confirm prior evidence suggesting that procrastination and self-esteem were important predictors of well-being. Results also indicated that both procrastination and academic performance have direct and interactive effects on self-esteem. Self-esteem mediated the relationships between procrastination and well-being. Furthermore, the indirect effect of procrastination on well-being via mediation of self-esteem may vary depending on academic performance. Findings were discussed in terms of related literature and further suggestions have been made for future studies .
Impact of Sexual Abuse on Children and Intervention Strategies

Child sexual abuse is a form of child abuse in which an adult or older adolescent uses a child for sexual stimulation. Forms of child sexual abuse include asking or pressuring a child to engage in sexual activities, indecent exposure of body parts to a child with intent to gratify their own sexual desires or to intimidate or groom the child, physical sexual contact with a child or using a child to produce child pornography. The effects of child sexual abuse can include depression, post-traumatic stress disorder, anxiety and propensity to further victimization in adulthood and physical injury to the child. Protection of children against sexual abuse Act,2012 brings many incidents of sexual abuses into light and judgments are given immediately by special courts and. Intervention strategies like individual Therapy, Play Therapy and Family Therapy can be used to deal with children. Keywords: Abuse, psychological disturbance, incest
General phonological rules and phonetic processes: Russian palatalization assimilation

The kinds of rules found in the phonological components of generative grammars have been traditionally grouped into three types: (1) LEXICAL REDUNDANCY or MORPHEME STRUCTURE rules, which fill in redundant features of systematic phonemes within morphemes; (2) PHONOLOGICAL rules, which operate both within morphemes as well as across morpheme boundaries, and can either add or change features; (3) PHONETIC rules, which supply n-ary values to the binary distinctive feature specifications which are the output of the earlier phonological rules. It has furthermore been assumed that these three subcomponents are strictly ordered with respect to one another. Recent studies, however, have revealed a number of rules which do not conveniently fall into these categories, and still others have been found which contradict the assumed ordering relationship (Vennemann, 1972; Anderson, 1975; Daniels, 1973; Labov, 1972). Many of these rules exhibit articulatory phonetic regularities which are obscured at the level of binary distinctive features. Instead they apply at a level when scalar values have already been assigned to the individual features.
Parameter-Controlled Volume Thinning

The availability of large 3D datasets has made volume thinning essential for compact representation of shapes. The density of the skeletal structure resulting from the thinning process depends on the application. Current thinning techniques do not allow control over the density and can therefore address only specific applications. In this paper, we describe an algorithm which uses a thinness parameter to control the thinning process and thus the density of the skeletal structure. We present applications from CFD and medical visualization and show how the skeletal structure can be used in these domains. We also illustrate a technique for constructing a centerline for surgical navigation.
The Migration of Chioggia’s Fishing Fleet in the Adriatic from the Mid-Nineteenth to the Early Twentieth Century

Abstract: Chioggia’s fishing fleet has throughout history been one of the most important fleets in the whole Adriatic Sea. For many centuries, fishermen from this town fished all over this area, migrating along its coastline according to fishing seasons and climatic conditions. In this paper we describe the fishing activity of Chioggia’s fleet between the mid-nineteenth and the early twentieth centuries. Features of the fishing fleet such as type and number of fishing vessels, fishing gear and the distribution in time and space of the fishing activities in the whole Adriatic Sea, will be presented along with a description of the main target species. The causes and consequences for this activity, including social-economic, ecological, political and historical issues will also be discussed.
Effect of scaling and root planing combined with systemic doxycycline therapy on glycemic control in diabetes mellitus subjects with chronic generalized periodontitis: a clinical study

Purpose The purpose of study was to compare glycemic control using glycated hemoglobin levels (HbA1c) in diabetic patients with chronic generalized periodontitis (CGP) undergoing scaling and root planing (SRP) with and without systemic doxycycline. Methods Fifty subjects with type 2 diabetes mellitus (T2DM) and CGP receiving antidiabetic therapy were selected for study. The selected subjects were randomly assigned to two groups (test group [TG] and control group [CG]) comprising 25 patients each. The TG received SRP followed by systemic doxycycline. The CG received treatment with SRP only. The periodontal parameters were recorded at baseline (day zero), and every 1 month for 4 months and included probing depth, clinical attachment level, plaque index, gingival index, and HbA1c level were recorded at baseline (day zero) and at the end of 4 months. Results A statistically significant effect was demonstrated for the periodontal parameters for both the TG and CG. HbA1c values did not show a statistically significant difference in the treatment group as compared to the CG. Conclusions The authors concluded that nonsurgical periodontal therapy improved glycemic control in patients with T2DM in both groups, but no statistical difference was observed with adjunctive systemic doxycycline therapy. A further study with a larger sample size is required.
Macroporosity and infiltration in blanket peat: the implications of tension disc infiltrometer measurements

Little is known about the processes of infiltration and water movement in the upper layers of blanket peat. A tension infiltrometer was used to measure hydraulic conductivity in a blanket peat in the North Pennines, England. Measurements were taken from the surface down to 20 cm in depth for peat under four different vegetation covers. It was found that macropore flow is a significant pathway for water in the upper layers of this soil type. It was also found that peat depth and surface vegetation cover were associated with macroporosity and saturated hydraulic conductivity. The proportion of macropore flow was found to be greater at 5 cm depth than at 0, 10 and 20 cm depth. Peat beneath a Sphagnum cover tends to be more permeable and a greater proportion of macropore flow can occur beneath this vegetation type. Functional macroporosity and matrix flow in the near‐surface layers of bare peat appear to have been affected by weathering processes. Comparision of results with rainfall records demonstrates that infiltration‐excess overland flow is unlikely to be a common runoff‐generating mechanism on blanket peat; rather, a saturation‐excess mechanism combined with percolation‐excess above much less permeable layers dominates the runoff response. Copyright © 2001 John Wiley & Sons, Ltd.
OPTIMIZATION WITH LINEAR COMPLEMENTARITY CONSTRAINTS

A Mathematical Program with Linear Complementarity Constraints (MPLCC) is an optimization problem where a continuously differentiable function is minimized on a set defined by linear constraints and complementarity conditions on pairs of complementary variables. This problem finds many applications in several areas of science, engineering and economics and is also an important tool for the solution of some NP-hard structured and nonconvex optimization problems, such as bilevel, bilinear and nonconvex quadratic programs and the eigenvalue complementarity problem. In this paper some of the most relevant applications of the MPLCC and formulations of nonconvex optimization problems as MPLCCs are first presented. Algorithms for computing a feasible solution, a stationary point and a global minimum for the MPLCC are next discussed. The most important nonlinear programming methods, complementarity algorithms, enumerative techniques and 0 - 1 integer programming approaches for the MPLCC are reviewed. Some comments about the computational performance of these algorithms and a few topics for future research are also included in this survey.
A Planner with Quality Goal and Its Speed-up Learning for Optimization Problem

Aims of traditional planners had been limited to finding a sequence of operators rather than finding an optimal or near-optimal final state. Consequently, the performance improvement systems combined with the planners had only aimed at efficiently finding an arbitrary solution, but not necessarily the optimal solution. However, there are many domains where we call for quality of the final state for each problem. In this paper, we propose an extension of a planner for optimization problems, and another application of EBL to problem solving: learning control knowledge to improve searching performance for an optimal or a near-optimal solution by analyzing reasons a solution is better than another. The proposed method was applied to technology mapping in LSI design, a typical optimization problem. The system with the learned control knowledge synthesizes optimal circuits four times faster than that without the control knowledge.
Observational Evidence for the Origin of X-ray Sources in Globular Clusters

Abstract Low-mass X-ray binaries, recycled pulsars, cataclysmic variables and magnetically active binaries are observed as X-ray sources in globular clusters. We discuss the classification of these systems, and find that some presumed active binaries are brighter than expected. We discuss a new statistical method to determine from observations how the formation of X-ray sources depends on the number of stellar encounters and/or on the cluster mass. We show that cluster mass is not a proxy for the encounter number, and that optical identifications are essential in proving the presence of primordial binaries among the low-luminosity X-ray sources.
A simple method for positioning and tracking in wireless sensor networks

In this paper we develop a simple yet effective heuristic algorithm to estimate the location of a sensor node in wireless sensor networks. Our method utilizes a simple and inexpensive received signal strength (RSS) measurement at a node to maximize the maximum likelihood (ML) function in a localization problem. We show via numerical results that the location estimations obtained from the new method are more accurate compared to those of traditional techniques. The algorithm can also be easily used to track the movement of a node in wireless sensor networks.
A FAULT TOLERANT APPROACH FOR NETWORKED CONTROL SYSTEMS USING PREDICTIVE MODELS

In this paper, an on-line fault tolerant approach for networked control systems is proposed. The fault tolerant approach incorporates a fault detection and diagnosis methodology based on on-line identification of an ARX model and on neural nonlinear principal components analysis, as well as on neural nonlinear discriminant analysis. When a fault is correctly diagnosed the supervision system reconfigures the closed-loop system using a predictive model acting as a virtual sensor. The fault tolerant approach has been tested successfully on an analogue simulator (HW123 hardware setup) under closedloop control. © Controlo 2008.
A ug 2 00 2 Horizons and Geodesics of Black Ellipsoids

We analyze the horizon and geodesic structure of a class of 4D off–diagonal metrics with deformed spherical symmetries, being exact solutions of the vacuum Einstein equations with anholonomic variables. The maximal analytic extension of the ellipsoid type metrics are constructed and the Penrose diagrams are analyzed with respect to adapted frames. We prove that for small deformations (small eccentricities) there are such metrics that the geodesic behaviour is similar to the Schwarzcshild one. We conclude that some vacuum static and stationary ellipsoid configurations [1, 2] may describe black ellipsoid objects. Pacs 04.20. Jb, 04.70. -s, 04.70. Bw MSC numbers: 83C15, 83C20, 83C57
The Randomized Sample Tree: A Data Structure for Interactive Walk-Throughs in Externally Stored Virtual Environments

We present a new data structure for rendering highly complex virtual environments of arbitrary topology. The special feature of our approach is that it allows an interactive navigation in very large scenes (30 GB/400 million polygons in our benchmark scenes) that cannot be stored in main memory, but only on a local or remote hard disk. Furthermore, it allows interactive rendering of substantially more complex scenes by instantiating objects. The sampling process is done in the preprocessing. There, the polygons are randomly distributed in our hierarchical data structure, the randomized sample tree. This tree uses only space that is linear in the number of polygons. In order to produce an approximate image of the scene, the tree is traversed and polygons stored in the visited nodes are rendered. During the interactive walk-through, parts of the sample tree are loaded from a local or remote hard disk. We implement our algorithm in a prototypical walk-through system. Analysis and experiments show that the quality of our images is comparable to images computed by the conventional z-buffer algorithm regardless of the scene topology.
Probing the atmosphere of the bulge G5III star OGLE-2002-BUL-069 by analysis of microlensed Hα line

We discuss high-resolution, time-resolved spectra of the caustic exit of the binary microlensing event OGLE 2002-BUL-69 obtained with UVES on the VLT. The source star is a G5III giant in the Galactic Bulge. During such events, the source star is highly magnified, and a strong differential magnification around the caustic resolves its surface. Using an appropriate model stellar atmosphere generated by the NextGEN code we obtained a model light curve for the caustic exit and compared it with a dense set of photometric observations obtained by the PLANET microlensing follow up network. We further compared predicted variations in the H alpha equivalent width with those measured from our spectra. While the model and observations agree in the gross features, there are discrepancies suggesting shortcomings in the model, particularly for the H alpha line core, where we have detected amplified emission from the stellar chromosphere as the source star\'s trailing limb exited the caustic. This achievement became possible by the provision of the OGLE-III Early Warning System, a network of small telescopes capable of nearly-continuous round-the-clock photometric monitoring, on-line data reduction, daily near-real-time modelling in order to predict caustic crossing parameters, and a fast and efficient response of a 8m-class telescope to a ``Target-Of-Opportunity\'\' observation request.
A Fast Recognition Method for Pose and Illumination Variant Faces on Video Sequences

Video face recognition is a widely used method in which security is essential that recognizes the human faces from subjected videos. Unlike traditional methods, recent recognition methods consider practical constraints such as pose and illumination variations on the facial images. Our previous work also considers such constraints in which face recognition was performed on videos that were highly subjected pose and illumination variations. The method asserted good performance however; it suffers due to high computational cost. This work overcomes such drawback by proposing a simple face recognition technique in which a cost efficient Active Appearance Model (AAM) and lazy classification are deployed. The deployed AAM avoids nonlinear programming, which is the cornerstone for increased computational cost. Experimental results prove that the proposed method is better than the conventional technique in terms of recognition measures and computational cost.