Miracle-dz/UniFAR-FTUs huggingface dataset:
Le groupe de discussion et le suivi des pairs: un outil pour transposer le CECR à la classe de langue seconde

Abstract:The Common European Framework of Reference for Languages (CEFR) proposes a theoretical framework for teachers of second and foreign languages; however, questions remain about how to concretely apply the theoretical principles and concepts of the CEFR. This article highlights a pedagogical tool, le groupe de discussion and le suivi des pairs (GDSP), incorporating Ellis' Task-based language teaching and Bronckart's Socio-Discursive Interactionism to put into practice the CEFR's vision of language teaching. In this article, we illustrate the use of the GDSP in the context of a beginner-intermediate French second language (FSL) course (level A1-A2 of the CEFR). Our pedagogical tool allows for the realization of the concepts of task, the learner as social agents and interaction as outlined in the CEFR, all the while integrating oral and written, production and comprehension activities. Résumé:Le Cadre européen commun de référence pour les langues (CECR) propose un cadre théorique pour appyer les professionnels de l'enseignement des langues dans leur pratique, mais il suscite de nombreuses questions pour les enseignants qui souhaitent transposer ses concepts et principes dans la salle de classe. Cet article présente un outil pour la classe de langue seconde ou étrangère permettant de mettre en pratique la vision de l'enseignement et de l'apprentissage des langues du CECR et incorporant d'autres approches théoriques, comme l'approche par tâche d'Ellis et l'interactionnisme sociodiscursif de Bronckart, qui complètent la vision de la perspective actionnelle. Cet outil, appelé le groupe de discussion et le suivi des pairs (GDSP), est illustré pour la salle de classe d'un cours de français langue seconde de niveau débutant (A1–A2 du CECR). Le GDSP réalise les concepts d'action sociale et de tâche du CECR et intègre des activités relevant de la production et de la compréhension, à l'oral et à l'écrit, ainsi que de l'interaction.
(001)-Oriented Nonexpitaxial L10 FePt by rapid thermal annealing

Published by Madridge Publishers Abstract Highly L10-ordered FePt thin films with a strong (001) texture were successfully fabricated on SiO2//Si substrates by sputtering and rapid thermal annealing. Large biaxial tensile-stress was induced by controlling the heating rate, causing a transition of orientation from (111) to (001) texture of L10 FePt . We observed that not only heating rate, but FePt composition and the annealing time are strongly dependent on (001) texture. These factors also affect the magnetic properties of FePt.
Pilot Study of the Effects of Cognitive Remediation Therapy Using the Frontal/Executive Program for Treating Chronic Schizophrenia

Department of Functioning and Disability, Faculty of Health Science, Hokkaido University Kita 12, Nishi 5, Kita-ku, Sapporo, Hokkaido 060-0812, Japan Department of Psychiatry, Asahiyama Hospital 4-3-33, Futagoyama, Chuou-ku, Sapporo, Hokkaido 064-0946, Japan Department of Psychiatry, Matsumoto Mental Clinic 7-1, Kita 7, Nishi5, Kita-ku, Sapporo, Hokkaido 060-0807, Japan Department of Psychology, Toyama University 2630 Sugitani, Toyama, Toyama 930-0194, Japan Department of Psychiatry, Hokkaido University Graduate School of Medicine Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan
Dynamic Object Recognition using Sparse Coded Three-way Conditional Restricted Boltzmann Machines

In this paper a novel framework capable of both accurate predictions and classifications of dynamic images is introduced. The proposed technique makes of use of a novel combination of sparse coding, a feature extraction algorithm, and three-way weight tensor conditional restricted Boltzmann machines, a form of deep learning. Experiments performed on both the prediction and classification of various images show the efficiency, accuracy, and effectiveness of the proposed technique.
Focused ultrasound of the pleural cavities and the pericardium by nurses after cardiac surgery

Abstract Objectives. We aimed to study the feasibility and reliability of focused ultrasound (US) examinations to quantify pericardial (PE)- and pleural effusion (PLE) by a pocket-size imaging device (PSID) performed by nurses in patients early after cardiac surgery. Design. After a 3-month training period, with cardiologists as supervisors, two nurses examined 59 patients (20 women) with US using a PSID at a median of 5 days after cardiac surgery. The amount of PE and PLE was classified in four categories by US (both) and chest x-ray (PLE only). Echocardiography, including US of the pleural cavities, by experienced cardiologists was used as reference. Results. Focused US by the nurses was more sensitive than x-ray to detect PLE. The correlations of the quantification of PE and PLE by the nurses and reference was r (95% confidence interval) 0.76 (0.46–0.89) and 0.81 (0.73–0.89), both p < 0.001. PE and PLE were drained in one and six (eight cavities) patients, all classified as large amount by the nurses. Conclusions. Cardiac nurses were able to obtain reliable measurements and quantification of both PE and PLE bedside by focused US and outperform the commonly used chest x-ray regarding PLE after cardiac surgery.
Fuzzy Cooperation of Autonomous Robots

In this paper a fuzzy interaction among robots in a group is presented as an alternative solution to the classical protocols used in architectures for the cooperation of robots. In order to achieve this goal, the integration of previous works carried out on fuzzy behaviors and on cooperative architectures at the Intelligent Agents Lab. (LAI) has been used. This cooperation/coordination protocol is necessary to successfully control a group of autonomous robots. The protocol will take into account the fuzzy controllers used in the design of the robots. Three diﬀerent fuzzy protocols have been considered and tested, both in a simulator and in real robots. The results of the experiments carried out and the conclusions obtained are presented.
Assessing Wind Integration Costs with Dispatch Models: A Case Study of PacifiCorp; Preprint

Conventional electric production simulation models do not fully capture the unique issues surrounding wind power plants. PacifiCorp used an hourly system dispatch model to estimate wind resource integration costs in its Integrated Resource Plan (IRP). This paper explores a number of modeling issues surrounding the representation of wind integration costs in dispatch models and the implications for calculating wind integration costs. Such issues include unit commitment logic, reserve requirement calculations, and wind forecast accuracy. We also discuss methods of assessing integration costs outside the conventional modeling framework, and we present some wind-related results from the PacifiCorp IRP. We believe that this paper will be of value for utilities and control areas that are involved in assessing potential wind impacts and integration cost and will help provide a framework for future model development. These modeling issues need to be addressed by the modeling community as wind becomes a significant part of utility resource portfolios.
Perceived Threats Towards Cervical Cancer Among Women ≥ 15 Years in Arsi Zone, Southeastern Ethiopia: A Community Based Cross-sectional Study

All cancer mortality accounted 18.4 per 100,000 in Ethiopia. Cancer of the cervix is the second common cause of cancer with incidence of 16.4 per 100,000 in the country. The aim of this study was to assess women’s perception of susceptibility and severity of cervical cancer and their associate factors in Arsi zone, southeastern Ethiopia. A community based cross-sectional study design was carried out in Arsi zone, southeastern Ethiopia among 906 women aged ≥ 15 years using multi-stage sampling technique. Binary logistic regression model was used to determine the association of socio-demographic characteristics and reproductive variables on perceived threats to cervical cancer at p-value of <0.05 using SPSS. When perceived susceptibility and severity combined (perceived threat), 739 (81.9%) of women had low perceived threats to cervical cancer. Ever exposed to STI [AOR=5.8, 95% CI: (2.3-14.9)], ever heard of cervical cancer [AOR=1.87, 95% CI: (1.3-2.8)], ever heard cervical cancer screening [AOR=3.4, 95% CI: (1.7-6.9)], preferences of screening in the future [AOR=2.34, 95% CI: (1.18-4.62)], ever smoked [AOR=2.5, 95% CI: (1.1-5.9)] and ever had abortion [AOR=1.32, 95% CI: (1.05-2.25)] were independently associated with perceived threats to cervical cancer. Women who ever smoked had 2.5 times more likely to perceive threats towards cervical cancer than those non-smokers. The study found that more than one-third of women believed that they were not at risk of developing cervical cancer and the majority of them had lower perceived threats of cervical cancer, which could be a major obstacle in the uptake of cervical cancer screening in the community. Therefore, changing the women’s perception of susceptibility and severity of the disease which enhances screening in the community was recommended.
M2 to D2 revisited

We present two derivations of the multiple D2 action from the multiple M2-brane model proposed by Bagger-Lambert and Gustavsson. The first one is to start from Lie 3-algebra associated with given (arbitrary) Lie algebra. The Lie 3-algebra metric is not positive definite but the zero-norm generators merely correspond to Lagrange multipliers. Following the work of Mukhi and Papageorgakis, we derive D2-brane action from the model by giving a variable a vacuum expectation value. The second derivation is based on the correspondence between M2 and M5. We compactify one dimension and wind M5-brane along this direction. This leads to a noncommutative D4 action. Multiple D2 action is then obtained by suitably choosing the non-commutative parameter on the two-torus. It also implies a natural interpretation to the extra generator in Lie 3-algebra, namely the winding of M5 world volume around S1 which defines the reduction of M theory to IIA superstring.
Characteristics of consumers influencing adoption behavior for XBRL

This paper empirically examines the impact of demographic factors upon the XBRL adoption among consumers, the six demographic characteristics that provide insights to XBRL adopters and non-adopters, as they were identified from the literature review used in this study. These included age, gender, education, experience and type of industry. The data on these variables was collected on a global scale employing an online survey. A self-administered questionnaire was positioned on the home page of the XBRL network web site with a total of 68 responses obtained from the respondents. The findings of this research suggest that the four variables of age, gender, experience, type of industry and country significantly differentiated the adopters from the non-adopters of the XBRL, whilst education was found to be non-significant. The implications of the findings are discussed in the context of promoting the adoption of XBRL technology.
Air-Borne and Tissue-Borne Sensitivities of Bioacoustic Sensors Used on the Skin Surface

Measurements of body sounds on the skin surface have been widely used in the medical field and continue to be a topic of current research, ranging from the diagnosis of respiratory and cardiovascular diseases to the monitoring of voice dosimetry. These measurements are typically made using light-weight accelerometers and/or air-coupled microphones attached to the skin. Although normally neglected, air-borne sounds generated by the subject or other sources of background noise can easily corrupt such recordings, which is particularly critical in the recording of voiced sounds on the skin surface. In this study, the sensitivity of commonly used bioacoustic sensors to air-borne sounds was evaluated and compared with their sensitivity to tissue-borne body sounds. To delineate the sensitivity to each pathway, the sensors were first tested in vitro and then on human subjects. The results indicated that, in general, the air-borne sensitivity is sufficiently high to significantly corrupt body sound signals. In addition, the air-borne and tissue-borne sensitivities can be used to discriminate between these components. Although the study is focused on the evaluation of voiced sounds on the skin surface, an extension of the proposed methods to other bioacoustic applications is discussed.
A Krylov-Subspace-Based Exponential Time Integration Scheme for Discontinuous Galerkin Time-Domain Methods

Discontinuous Galerkin time-domain (DGTD) methods using explicit time integration schemes often suffer from unreasonably small time-step size when applied to simulations involving electrically small structures. In this paper, an exponential time integration (ETI) scheme based on Krylov subspace is proposed for DGTD. The proposed scheme is unconditionally stable and exhibits good accuracy for large time-step sizes. When compared with classic ETI schemes, in the proposed scheme, the dense matrix exponentials are absorbed in matrix–vector products, hence the prohibitive memory costs are avoided. Moreover, a preconditioner combining the shift-and-invert technique and restricted additive Schwarz method is also developed to accelerate the proposed scheme.
A Search Interface for Context Based Categorization of Result Sets

Besides search and indexing algorithms, the user interface is a key component of a search engine. If the interface allows the user to express his or her query appropriately, the query can be defined more precise and thus the search process of the user requires less search steps. Moreover, additional user specific information that describes or classifies the retrieved documents can significantly reduce the amount of time a user needs to search for relevant documents in the obtained result set. In this paper, we present an interface of a search engine that adapts to specific categories of interest of a user. The main idea is that a user always searches in a specific context. If the system has detailed information about this context, the search can be supported better as results can be presented in terms of categories that are defined within this context.
Controlled Search over Compact State Representations, in Nondeterministic Planning Domains and Beyond

Two of the most efficient planners for planning in nondeterministic domains are MBP and ND-SHOP2. MBP achieves its efficiency by using Binary Decision Diagrams (BDDs) to represent sets of states that share some common properties, so it can plan for all of these states simultaneously. ND-SHOP2 achieves its efficiency by using HTN task decomposition to focus the search. In some environments, ND-SHOP2 runs exponentially faster than MBP, and in others the reverse is true. In this paper, we discuss the following: • We describe how to combine ND-SHOP2's HTNs with MBP's BDDs. Our new planning algorithm, YoYo, performs task decompositions over classes of states that are represented as BDDs. In our experiments, YoYo easily outperformed both MBP and ND-SHOP2, often by several orders of magnitude. • HTNs are just one of several techniques that are originally developed for classical planning domains and that can be adapted to work in nondeterministic domains. By combining those techniques with a BDD representation, it should be possible to get great speedups just as we did here. •We discuss how these same ideas can be generalized for use in several other research areas, such as planning with Markov Decision Processes, synthesizing controllers for hybrid systems, and composing Semantic Web Services.
A Remark On Field Theories On The Non-Commutative Torus

We investigate field theories on the non-commutative torus upon varying theta, the parameter of non-commutativity. We argue that one should think of Morita equivalence as a symmetry of algebras describing the same space rather than of theories living on different spaces (as is T-duality). Then we give arguments why physical observables depend on theta non-continuously.
Mean field matching and TSP in pseudo-dimension 1

Recent work on optimization problems in random link models has verified several conjectures originating in statistical physics and the replica and cavity methods. In particular the numerical value 2.0415 for the limit length of a traveling salesman tour in a complete graph with uniform $[0,1]$ edge lengths has been established. In this paper we show that the crucial integral equation obtained with the cavity method has a unique solution, and that the limit ground state energy obtained from this solution agrees with the rigorously derived value. Moreover, the method by which we establish uniqueness of the solution turns out to yield a new completely rigorous derivation of the limit.
Multi-User Identification-Based Eye-Tracking Algorithm Using Position Estimation

This paper proposes a new multi-user eye-tracking algorithm using position estimation. Conventional eye-tracking algorithms are typically suitable only for a single user, and thereby cannot be used for a multi-user system. Even though they can be used to track the eyes of multiple users, their detection accuracy is low and they cannot identify multiple users individually. The proposed algorithm solves these problems and enhances the detection accuracy. Specifically, the proposed algorithm adopts a classifier to detect faces for the red, green, and blue (RGB) and depth images. Then, it calculates features based on the histogram of the oriented gradient for the detected facial region to identify multiple users, and selects the template that best matches the users from a pre-determined face database. Finally, the proposed algorithm extracts the final eye positions based on anatomical proportions. Simulation results show that the proposed algorithm improved the average F1 score by up to 0.490, compared with benchmark algorithms.
J an 2 00 2 ON THE FORMATION OF MASSIVE STARS

We calculate numerically the collapse of slowly rotating, non-magnetic, massive molecular clumps of masses 30 M ⊙ , 60 M ⊙ , and 120 M ⊙ , which conceivably could lead to the formation of massive stars. Because radiative acceleration on dust grains plays a critical role in the clump's dynamical evolution, we have improved the module for continuum radiation transfer in an existing 2D (axial symmetry assumed) radiation hydrodynamic code. In particular, rather than using " grey " dust opacities and " grey " radiation transfer, we calculate the dust's wavelength-dependent absorption and emission simultaneously with the radiation density at each wavelength and the equilibrium temperatures of three grain components: amorphous carbon particles, silicates, and " dirty ice "-coated sili-cates. Because our simulations cannot spatially resolve the innermost regions of the molecular clump, however, we cannot distinguish between the formation of a dense central cluster or a single massive object. Furthermore, we cannot exclude significant mass loss from the central object(s) which may interact with the inflow into the central grid cell. Thus, with our basic assumption that all material in the innermost grid cell accretes onto a single object, we are only able to provide an upper limit to the mass of stars which could possibly be formed. We introduce a semi-analytical scheme for augmenting existing evolutionary tracks of pre-main sequence protostars by including the effects of accretion. By considering an open outermost boundary, an arbitrary amount of material could, in principal, be accreted onto this central star. However, for the three – 2 – cases considered (30 M ⊙ , 60 M ⊙ , and 120 M ⊙ originally within the computation grid), radiation acceleration limited the final masses to 31.6 M ⊙ , 33.6 M ⊙ , and 42.9 M ⊙ , respectively, for wavelength-dependent radiation transfer and to 19.1 M ⊙ , 20.1 M ⊙ , and 22.9 M ⊙ for the corresponding simulations with grey radiation transfer. Our calculations demonstrate that massive stars can in principle be formed via accretion through a disk. The accretion rate onto the central source increases rapidly after one initial free-fall time and decreases monotoni-cally afterwards. By enhancing the non-isotropic character of the radiation field the accretion disk reduces the effects of radiative acceleration in the radial direction — a process we denote the " flashlight effect ". The flashlight effect is further amplified in our case by including …
Provisional chapter An Adaptive Neuro-Fuzzy Strategy for a Wireless Coded Power Control in Doubly-Fed Induction

Renewable energy systems and specially wind energy have attracted governmental interests in opposition to energy sources that increase CO2 emissions and cause enormous environmental impact. Recently, the concept of smart grid has been applied to power plants to enable and optimize the generation of energy by efficiently combining wind, solar and tidal. Moreover, the efforts for consolidation and implementation of this new concept through wind energy systems have attracted great interest from the technical community and has been the focus of several recent scientific works [1–3].
A conserved intronic U1 snRNP-binding sequence promotes trans-splicing in Drosophila

Gao et al. investigate mod(mdg4), a classic trans-spliced gene in Drosophila, and report that two critical RNA sequences in the middle of the last 5′ intron, TSA and TSB, promote trans-splicing of mod(mdg4). In TSA, a 13-nt core motif is conserved across Drosophila species and is essential and sufficient for trans-splicing, which binds U1 snRNP through strong base-pairing with U1 snRNA. In TSB, a conserved secondary structure acts as an enhancer. Deletions of TSA and TSB result in developmental defects in flies.
An Association-based Approach to Genre Classification in Music

Music Information Retrieval (MIR) is a multi-disciplinary research area that aims to automate the access to largevolume music data, including browsing, retrieval, storage, etc. The work that we present in this paper tackles a nontrivial problem in the field, namely music genre classification, which is one of the core tasks in MIR. In our proposed approach, we make use of association analysis to study and predict music genres based on the acoustic features extracted directly from music. In essence, we build an associative classifier, which finds inherent associations between content-based features and individual genres and then uses them to predict the genre(s) of a new music piece. We demonstrate the feasibility of our approach through a series of experiments using two publicly available music datasets. One of them is the largest available in MIR and contains real world data, while the other has been widely used and provides a good benchmarking basis. We show the effectiveness of our approach and discuss various related issues. In addition, due to its associative nature, our classifier can assign multiple genres to a single music piece; hopefully this would offer insights into the prevalent multilabel situation in genre classification.
Grid ’ BnB : A Parallel Branch & Bound Framework for Grids

This article presents Grid’BnB, a parallel branch and bound framework for grids. Branch and bound (B&B) algorithms find optimal solutions of search problems and NP-hard optimization problems. Grid’BnB is a Java framework that helps programmers to distribute problems over grids by hiding distribution issues. It is built over a masterworker approach and provides a transparent communication system among tasks. This work also introduces a new mechanism to localize computational nodes on the deployed grid. With this mechanism, we can determine if two nodes are on the same cluster. This mechanism is used in Grid’BnB to reduce inter-cluster communications. We run experiments on a nationwide grid. With this test bed, we analyze the behavior of a communicant application deployed on a large-scale grid that solves the flow-shop problem.