Miracle-dz/UniFAR-FTUs huggingface dataset:
Yemeni EFL students’ perceptions and implementation of computer-assisted language learning.

: This study investigated how Yemeni EFL students perceive computer-assisted language learning, the extent to which CALL is implemented in their learning of English in and outside their faculties and the difficulties they encounter when implementing CALL. Data were collected through a questionnaire that targeted 74 Yemeni EFL students and then analyzed by using SPSS 21st version. Results revealed that the students who participated in this study perceive CALL positively (overall mean = 4.1144 out of 5) and believe in its effectiveness in developing their language skills and making their EFL learning enjoyable and interesting. Moreover, Female students showed a higher overall positive attitude towards CALL as compared to their male counterparts and that was reflected in their implementation of CALL too. A significant correlation was also found between students’ perceptions of CALL and their computer competence in the favor of those students with higher computer competence while no significant correlation was found in relation to age. The results have also revealed that CALL’s implementation by many of the participants is still low. Unavailability of internet and lack of CALL tools at their faculty; in addition to students’ lack of computer competence are viewed as the major barriers to CALL implementation by the Yemeni EFL students understudy. As per the results, the study recommends Yemeni Universities to provide CALL tools and internet for their EFL classrooms and libraries and to train students to use technology for English learning purposes. It also recommends Yemeni EFL students to invest technology at hand for their EFL learning.
The Physics Of Sports

Physics is probably the most used and the least appreciated science. As soon as we are born, we begin to experiment and discover physical laws. But sometime before we reach adulthood, we frequently develop the idea that physics comprises some mysterious set of principles that we are ill equipped to understand. As part of an effort to reach out to children of ages three through twelve, we have developed a “physics” class relating several physical principles to sports.
Internal shear layers from librating objects

In this work, we analyse the internal shear layer structures generated by the libration of an axisymmetric object in an unbounded fluid rotating at a rotation rate Ω * using direct numerical simulation and small Ekman number asymptotic analysis. We consider weak libration amplitude and libration frequency ω * within the inertial wave interval (0, 2Ω *) such that the fluid dynamics is mainly described by a linear axisymmetric harmonic solution. The internal shear layer structures appear along the characteristic cones of angle θ c = acos(ω * /(2Ω *)) which are tangent to the librating object at so-called critical latitudes. These layers correspond to thin viscous regions where the singulari-ties of the inviscid solution are smoothed. We assume that the velocity field in these layers is described by the class of similarity solutions introduced by Moore & Saffman [Phil. Trans. R. Soc. A 264, 597-634 (1969)]. These solutions are characterised by two parameters only: a real parameter m, which measures the strength of the underlying singularity, and a complex amplitude coefficient C 0. We first analyse the case of a disk for which a general asymptotic solution for small Ekman numbers is known when the disk is in a plane. We demonstrate that the numerical solutions obtained for a free disk and for a disk in a plane are both well-described by the asymptotic solution and by its similarity form within the internal shear layers. For the disk, we obtain a parameter m = 1 corresponding to a Dirac source at the edge of the disk and a coefficient C 0 ∝ E 1/6 where E is the Ekman number. The case of a smoothed librating object such as a spheroid is found to be different. By asymptotically matching the boundary layer solution to similarity solutions close to a critical latitude on the surface, we show that the adequate parameter m for the similarity solution is m = 5/4, leading to a coefficient C 0 ∝ E 1/12 , that is larger than for the case of a disk for small Ekman numbers. A simple general expression for C 0 valid for any axisymmetric object is obtained as a function of the local curvature radius at the critical latitude in agreement with this change of scaling. This result is tested and validated against direct numerical simulations.
Variations of The Bilateral Barbell Squat: A Brief Review

The three most fundamental variations of the barbell squat with the bar placed on the shoulders are the high-bar back squat (HBBS), the low-bar back squat (LBBS), and the front squat (FS). There are significant kinematic, kinetic, and biomechanical distinctions between these variations that should be considered in the exercise selection. In comparison to the high-bar variations, the LBBS results in a greater hip joint torque and greater activation of the hip extensor muscles. In contrast, during the FS, the m. quadriceps is utilized more compared to the other two variations due to an increased torque in the knee joint. Regarding the relation between hip and knee joint torques, the HBBS is an intermediate and more balanced exercise variation than the LBBS and the FS. The HBBS is a fundamental exercise in athletic conditioning and a suitable starting point for novices, whereas the LBBS is preferred when the primary objective is to maximize weightlifting performance. The FS is crucial for athletes performing the clean and its derivates since it trains the required body position for a successful catch and might be the biomechanically advantageous variation if the goal is to target the knee extensor muscles. However, the differences in terms of knee extensor demands, muscle activation and kinematics between the HBBS and FS seem to be minimal, as the literature indicates similar results when comparing the FS to the HBBS. As far as analysis methods are concerned, even though 3D movement analysis is regarded as the gold standard for motion capture and analyzing kinematics, 2D models seem to serve as a valid initial guide in order to understand the kinematics and biomechanics of different squat variations.
A Game-Theoretic Approach on Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections

In order to resolve the driving conflict and improve the safety and efficiency of autonomous vehicles at unsignalized intersections, a new decision-making method based on game theory with personalized driving preferences considered is proposed in this paper. In the decision-making method, the alterable game mode is constructed by combing the designed game entrying mechanism and replanning of game sequential order under different intersection conditions to ensure the adaptiveness and effectiveness of the decision-making algorithm. Besides, four payoff indicators and personalized payoff function are designed with the consideration of driving efficiency, safety and comfort requirement. The advantage of proposed method is that it not only reduces the complexity of game mode and improves the effectiveness at the same time, but also fully considers the personalized driving preferences to realize human-like driving and personalized decision while the existing methods usually neglect the difference among the drivers and its influence. Five different typical scenarios at the unsignalized intersection are given under co-simulation environment of Matlab and Prescan. The results show that the proposed decision-making method is able to resolve the driving conflict and ensure the safe passage of autonomous vehicles at unsignalized intersections, which verifies the effectiveness of the proposed method.
Context‐aware application scheduling in fog computing environment

Fog computing emerges as the new computing environment that stays in the proximity of end‐users and harnesses resources at the edge of the network to extend cloud‐facilities. It provides attractive solutions to the diverse range of Internet of Things (IoT) applications by executing them in the vicinity of end‐users. It is challenging to schedule these latency‐sensitive, computation‐intensive, and resource‐hungry applications on distributed, heterogeneous, and resource‐constrained Fog computing environment while ensuring time‐bound service delivery and satisfying Quality of Service (QoS) requirements of end‐users. In this paper, a context‐aware application scheduling technique is proposed for Fog computing environments that employs various parameters of device‐ and application‐level context to minimize service delivery time and satisfy QoS requirements of various IoT applications such as surveillance and game‐based applications. The performance of the proposed technique is evaluated in a simulated Fog environment and compared with baseline application scheduling techniques. The simulation results demonstrate that the proposed context‐aware scheduling techniques result in significant improvement in service delivery time and QoS compared to baseline scheduling techniques.
An Experimental Benchmark for Geoacoustic Inversion Methods

Over the past 25 years, there has been significant research activity in development and application of methods for inverting acoustical field data to estimate parameters of geoacoustic models of the ocean bottom. Although the performance of various geoacoustic inversion methods has been benchmarked on simulated data, their performance with experimental data remains an open question. This article constitutes the first attempt of an experimental benchmark of geoacoustic inversion methods. To do so, the article focuses on data from experiments carried out at a common site during the Shallow Water 2006 (SW06) experiment. The contribution of the article is twofold. First, the article provides an overview of experimental inversion methods and results obtained with SW06 data. Second, the article proposes and uses quantitative metrics to assess the experimental performance of inversion methods. From a sonar performance point of view, the benchmark shows that no particular geoacoustic inversion method is definitely better than any other of the ones that were tested. All the inversion methods generated adequate sound-speed profiles, but only a few methods estimated attenuation and density. Also, acoustical field prediction performance drastically reduces with range for all geoacoustic models, and this performance loss dominates over intermodel variability. Overall, the benchmark covers the two main objectives of geoacoustic inversion: obtaining geophysical information about the seabed, and/or predicting acoustic propagation in a given area.
Using Harvesting Models to Teach Modeling with Differential Equations

Abstract: Harvesting models based on ordinary differential equations are commonly used in the fishery industry and wildlife management to model the evolution of a population depleted by harvest mortality. We present a project consisting of a series of scenarios based on fishery harvesting models to teach the application of theoretical concepts learned in a differential equations course to scenarios encountered in real fisheries. These projects require a thorough understanding of simplifying assumptions inherent in various models, as well as a qualitative analysis of phase portraits, bifurcations, and stability of steady states. Parameters are estimated and equations are sometimes solved both analytically and numerically. Students learn to respond to a professional request from a fishery in the form of a scientific report, which requires organizing and communicating assumptions, models, solution methods, results, and a final recommendation with clarity and professionalism.
THE EFFECT OF FICTION SHORT MOVIE ON STUDENTS’ ENGLISH SPEAKING ABILITY

The purpose of this research is to investigate whether or not students' students' speaking skills may be improved by watching short films. Quantitative research using a quasi-experimental design is the method that was used for the study. All of the pupils in the second grade at SMP A'isyiyah Pagaralam in South Sumatra, Indonesia, make up the population. This research was conducted with the participation of forty different students. It was decided that 20 students from Class A would make up the experimental group, and the remaining 40 students from Class B would serve as the control group. The method of data analysis makes use of a prerequisite test, specifically the normality test and the homogeneity test, and the final test is hypothesis testing. According to the findings of the research that was carried out, there is an effect in the use of short movies as a medium for improving students' speaking ability.
ENTROPY AND THE COMPLEXITY FOR ZN ACTIONS

The complexity of a finite object was introduced by A. Kolmogorov and V. Tihomirov in [1] and it was conjectured that for Z actions the complexity coincides with topological entropy, [1] [2], [3]. In the present paper we introduce complexity for Zn actions and prove the Kolmogorov assertion for continuous actions of Z.
Cargese lectures: A String phenomenology primer

A pedagogical introduction to string theory and string phenomenology is given. The classical and quantum strings are introduced using a pedagogical and pragmatic approach for a reader familiar with supersymmetric field theory. The emphasis is on deriving and understanding the phenomenological properties, chiefly the spectrum and interactions of the 5 perturbative supersymmetric theories. An overview of some recent phenomenological applications and developments is also given.
Mass and Energy Transfer Across the Earth's Magnetopause Caused by Vortex‐Induced Reconnection

When the interplanetary magnetic field (IMF) is strongly northward, a boundary layer that contains a considerable amount of plasma of magnetosheath origin is often observed along and earthward of the low‐latitude magnetopause. Such a preexisting boundary layer, with a higher density than observed in the adjacent magnetosphere, reduces the local Alfvén speed and allows the Kelvin–Helmholtz (KH) instability to grow more strongly. We employ a three‐dimensional fully kinetic simulation to model an event observed by the Magnetospheric Multiscale (MMS) mission in which the spacecraft detected substantial KH waves between a preexisting boundary layer and the magnetosheath during strong northward IMF. Initial results of this simulation have successfully demonstrated ion‐scale signatures of magnetic reconnection induced by the nonlinearly developed KH vortex, which are quantitatively consistent with MMS observations. We further quantify the simulated mass and energy transfer processes driven by this vortex‐induced reconnection (VIR) and show that during this particular MMS event, (i) mass enters a new mixing layer formed by the VIR more efficiently from the preexisting boundary layer side than from the magnetosheath side, (ii) mixed plasmas within the new mixing layer convect tailward along the magnetopause at more than half the magnetosheath flow speed, and (iii) energy dissipation in localized VIR dissipation regions results in a strong parallel electron heating within the mixing layer. The quantitative agreements between the simulation and MMS observations allow new predictions that elucidate how the mass and energy transfer processes occur near the magnetopause during strong northward IMF.
Electrical Conductivity in Interacting Fermions

報告番号: 甲12409 ; 学位授与年月日: 1997-03-28 ; 学位の種別: 課程博士 ; 学位の種類: 博士(理学) ; 学位記番号: 博理第3189号 ; 研究科・専攻: 理学系研究科物理学専攻
Robust Low-Rank Matrix Recovery via Hybrid Ordinary-Welsch Function

As a widely-used tool to resist outliers, the correntropy criterion or Welsch function has recently been exploited for robust matrix recovery. However, it down-weighs all observations including uncontaminated data. On the other hand, its implicit regularizer (IR) cannot achieve sparseness, which is a desirable property in many practical scenarios. To address these two issues, we devise a novel M-estimator called hybrid ordinary-Welsch (HOW) function, which only down-weighs the outlier-contaminated data, and the IR generated by the HOW can attain sparseness. To verify the effectiveness of the HOW function, we apply it to robust matrix completion and principal component analysis. An efficient algorithm is developed and we prove that any generated limit point is a critical point. Finally, extensive experimental results based on synthetic and real-world data demonstrate that the proposed approach outperforms the state-of-the-art methods in terms of recovery accuracy and runtime.
State estimation with incomplete nonlinear constraint

A problem of state estimation with a new constraints named incomplete nonlinear constraint is considered. The targets are often move in the curve road, if the width of road is neglected, the road can be considered as the constraint, and the position of sensors, e.g., radar, is known in advance, this info can be used to enhance the performance of the tracking filter. The problem of how to incorporate the priori knowledge is considered. In this paper, a second-order sate constraint is considered. A fitting algorithm of ellipse is adopted to incorporate the priori knowledge by estimating the radius of the trajectory. The fitting problem is transformed to the nonlinear estimation problem. The estimated ellipse function is used to approximate the nonlinear constraint. Then, the typical nonlinear constraint methods proposed in recent works can be used to constrain the target state. Monte-Carlo simulation results are presented to illustrate the effectiveness proposed method in state estimation with incomplete constraint.
Energy Management of an Integrated PV/Battery/Electric Vehicles Energy System Interfaced by a Multi-port Converter

Integrated energy systems, including renewable energy sources (RES) and battery energy storage (BES), have high potentialities to deal with issues caused by the high penetration of electric vehicles (EVs) in power systems. The full realization of the benefits of such systems depends on implementation of an energy management system (EMS) in order to monitor power sharing between different components of the system. In this paper, an EMS is proposed for a multi-port converter as an integrated PV/BES/EV energy system. It takes into account the EV mileage, BES dis/charge cycles and financial benefits
The KLIWAS North Sea Climatology. Part I: Processing of the Atmospheric Data

AbstractClimatological reference data serve as validation of regional climate models, as the boundary condition for the model runs, and as input for assimilation systems used by reanalyses. Within the framework of the interdisciplinary research program Climate Water Navigation (KLIWAS): Impacts of Climate Change on Waterways and Navigation of the German Federal Ministry of Transport and Digital Infrastructure, a new climatology of the North Sea and adjacent regions was developed in an joint effort by the Federal Maritime and Hydrographic Agency, the German Weather Service [Deutscher Wetterdienst (DWD)], and the Integrated Climate Data Center (ICDC) of the University of Hamburg. Long-term records of monthly and annual mean 2-m air temperature, dewpoint temperature, and sea level pressure data from 1950 to 2010 were calculated on a horizontal 1° × 1° grid. All products were based on quality-controlled data from DWD’s Marine Data Centre. Correction methods were implemented for each parameter to reduce the sa.
Mass spectra and Regge Trajectories of Heavy Mesons and Baryons

Masses of the ground state, orbitally and radially excited h avy–light mesons and heavy baryons are calculated within the framework of the relativistic qua rk model based on the quasipotential approach. Heavy baryons are considered in the heavy-quark– light-diquark picture. The Regge trajectories of heavy mesons and baryons for orbital and rad ial excitations are constructed, and their linearity, parallelism, and equidistance are verifie d.
Gradient Boosting Decision Tree for Rotor Temperature Estimation in Permanent Magnet Synchronous Motors

The increasing power density of permanent magnet synchronous motors has led to a severe motor heating problem that demands precise rotor temperature information to avoid demagnetization. Traditional temperature estimation techniques rely on thermal models that require specialized knowledge in motor design, thermodynamics, and material science. However, thermal parameters are often hard to obtain in real applications and contain significant mismatches when the working environment of motors varies. To overcome this challenge, this letter proposes an ensemble data-driven approach using the gradient boosting decision tree (GBDT) to estimate the temperature of the permanent magnet. The proposed scheme uses the temperature data at the stator tooth, winding, and yoke to predict the rotor temperature. The GBDT technique offers advantages in terms of accuracy and versatility due to its strong capability in handling complex data in various motor operating conditions, making it well-suited for industrial applications. The experimental results of a high-power machine validate the greatly improved accuracy in rotor temperature estimation over other approaches.
Advanced X-Ray Astrophysics Facility (AXAF)

AXAF is an x-ray observatory designed to study x-ray emission from al categories of astronomical objects, from normal stars to quasars. AXAF has broad scientific objectives and outstanding capability to provide high resolution images, spectrometric imaging and high resolution dispersive spectroscopy over the energy bandwidth from 0.1 to 10-keV. This is a significant year in the development of AXAF, to be launched in late 1998. Major elements of the observatory, the optics and the scientific instruments, are now nearing completion in preparation for calibration later this year.
Analogical Reasoning in Mathematical Theorems

Analogical reasoning is one of the most powerful tools of mathematical thinking. For example, to prove a theorem it is necessary to see similarities with the previous theorem. This study aims to classify analogies in mathematics courses and examples. This classification is based on research results. The research was conducted use qualitative research. The research subjects are 12 lecturers who teach mathematics courses and study program managers. Analogical reasoning instruments are unstructured interview guidelines and observation sheets. Interview guides and observation sheets were made to be able to reveal mathematics analogical reasoning in the Mathematics Education Study Program course. The results of the research show that there are 3 types of analogy classifications in mathematics courses, namely definition analogy, theorem-defining analogy, and theorem analogy. First, the definition of similarity in the same or different courses. Second, the similarities between definitions and theorems in the same or different courses. Third, the theorem similarities in the same or different subjects. Our classification is related to theorems and analogical properties in several courses in the curriculum of the Mathematics Education Study Program. The analogy can be applied to certain mathematical topics related to real life. Meanwhile, to analyze other aspects of reasoning through analogy needs to be studied further.