Miracle-dz/UniFAR-FTUs huggingface dataset:
FIELD STUDY DEVELOPMENT OF TEACHER PROFESSIONALISM in PRIMARY SCHOOL

Training is an important activity for teachers to always generate knowledge, not only students who are expected to develop knowledge but educators are also obliged to strengthen field competencies. The training that is often held is not comprehensive and is still relatively rare for certain schools. Therefore, a simple description of some teachers about the learning activities carried out and the acquisition of training within the teaching period is still relatively minimal. In addition, the 2013 curriculum recommends several learning models one of which is project based learning. The fact that some of the teachers interviewed turned out to be relatively rare. Project based learning is important because it can facilitate students to learn through the process. This research method uses descriptive qualitative approach. The research subjects were teachers from various different schools. The results show that teachers still rarely get training and the implementation of project based learning models is still rarely done. The conclusion is that there is a need for comprehensive training that is not limited by circles and real examples of the application of the project based learning model.
A New Approach to the Automatic Recognition of Musical Recordings

A new methodology for the automatic recognition of musical recordings is presented. A system has been developed that performs recognition among a set of specific musical recordings. The system claims a high rate of success (greater than 86%), even when the unknown compositions have suffered from up to a medium degree of distortion. It comprises a database of musical characteristics that correspond to a set of model musical recordings. These characteristics are derived by applying novel feature extraction algorithms to every model musical recording selected. In order to determine whether an unknown musical recording corresponds to a piece represented in the database, the same feature extraction algorithm is applied to it, and the characteristics thus derived are compared to the database contents by means of a set of criteria. The system can operate in parallel, essentially in real time, even for a considerable number of model musical recordings, as long as the hardware necessary is available.
Communication for teams of networked robots

There are a large class of problems, from search and rescue to environmental monitoring, that can benefit from teams of mobile robots in environments where there is no existing infrastructure for inter-agent communication. We seek to address the problems necessary for a team of small, low-power, low-cost robots to deploy in such a way that they can dynamically provide their own multi-hop communication network. To do so, we formulate a situational awareness problem statement that specifies both the physical task and end-toend communication rates that must be maintained. In pursuit of a solution to this problem, we address topics ranging from the modeling of point-to-point wireless communication to mobility control for connectivity maintenance. Since our focus is on developing solutions to these problems that can be experimentally verified, we also detail the design and implantation of a decentralized testbed for multi-robot research. Experiments on this testbed allow us to determine data-driven models for point-to-point wireless channel prediction, test relative signal-strength-based localization methods, and to verify that our algorithms for mobility control maintain the desired instantaneous rates when routing through the wireless network. The tools we develop are integral to the fielding of teams of robots with robust wireless network capabilities. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Electrical & Systems Engineering First Advisor Vijay Kumar
Quantifying the quality of web authentication mechanisms

Users wishing to use secure computer systems or web sites are required to authenticate themselves. Users are usually required to supply a user identification and to authenticate themselves to prove that they are indeed the person they claim to be. The authenticator of choice in the web environment is the simple password. Since the advent of the web the proliferation of secure systems has placed an unacceptable burden on users to recall increasing numbers of passwords that are often infrequently used. This paper will review the research into different types of authentication mechanisms, including simple passwords, and propose a mechanism for quantifying the quality of different authentication mechanisms to support an informed choice for web site administrators.
A statistical learning framework for data mining of large-scale systems : algorithms, implementation, and applications

A machine learning framework is presented that supports data mining and statistical modeling of systems that are monitored by large-scale sensor networks. The proposed algorithm is novel in that it takes both observations and domain knowledge into consideration and provides a mechanism that combines analytical modeling and inductive learning. An efficient solver is presented that allow the algorithm to solve large-scale problems efficiently. The solver uses a randomized kernel that incorporates domain knowledge into support vector machine learning. It also takes advantage of the sparseness of support vectors and this allows for parallelization and online training to further speed-up of the computation. The solver can be integrated into existing systems, embedded into databases, or exposed as a web service. Understanding the data generated by large-scale system presents several problems. First, statistical modeling approaches may either under-fit or over-fit the data and are sensitive to data quality. Second, learning is a computational extensive process and often becomes intractable when the sample size exceeds several thousands. Third, learning algorithms need to be tuned to the specific problem in most engineering and business fields. Last but not least, a flexible learning framework is also not available. This work addresses these problems by presenting a methodology that combines machine learning with domain knowledge, and an efficient framework that supports the algorithm. Benchmark and practical engineering problems are used to validate the methodology. Thesis Supervisor: John R. Williams Title: Professor of Civil and Environmental Engineering
Carbonatação acelerada : estado da arte das pesquisas no Brasil

The study of the behaviour of concrete in relation to carbonation is undertaken mainly through accelerated tests that demand rigid control o the variables that intervene in the process, but that have low execution costs and short data collection duration. In Brazil, like in other countries, there has been a large number of research studies that have aimed to improve those tests. However, there is not yet a widely accepted procedure that offers guidelines for its execution. This article presents the state of art of the research that has been developed in Brazil, considering the need to gather efforts on the development of future studies and to establish standardized test procedures. It suggests that there is a need for in-depth studies on carbonation concerned with CO2 concentrations, time and type of curing, and seasoning procedures adopted. For modelling and predicting service life it is also important to investigate the sample size and the exposure time to CO2, as well as to identify correlations between natural and accelerated tests in order to establish acceleration factors. This relationship between the two types of test is very important for understanding the phenomenon and produce guidelines for future definitions of standards.
Testing Technology Transfer Hypotheses in GIS Environments Using a Case Study Approach

Although they are perhaps the most commonly-used and popular research methods, case studies and other qualitative forms of social science research have long been criticized for their lack of generalizability to the larger population and lack of sampling controls. These criticisms may be aptly addressed and solutions constructed by evaluating the rules of scientific method within case research environments. By using more logically consistent, rigorous, and systematic approaches, some of the shortcomings of case study methods may be overcome. This article draws from the management information systems (MIS) and organization behavior (OB) literature to make some suggestions on how to conduct and evaluate GIS case study research. It reviews the requirements of natural science research models, particularly as described by Lee (1989)
Passive and active flow control studies using hybrid RANS/LES methods

Turbulent flow control of three types of flow is numerically studied using hybrid RANS/LES approaches. Flow control effect and control mechanisms are studied through both instantaneous and statistically-averaged flow properties. Behaviours of hybrid RANS/LES methods in these three types of flow are also investigated. Flow over a backward facing step is investigated, with piezoelectric actuators implemented on the step to control flow separation and recirculation. The simulation results agree well with the experiments. For the controlled flow, a slightly reduced primary recirculation between two adjacent actuators was observed. In the exploring study of actuators with a control velocity similar to the free stream flow, counter-rotating vortex pairs are generated, interacting with the separated shear layer. The primary recirculation becomes much smaller, and the recovered flow has a smaller skin friction. Pitched and skewed jet vortex generators are applied to the NACA0015 aerofoil to study their control effect on the trailing edge separation induced by a gradual adverse pressure gradient. Both the simulation and experiments show that after a certain time, the originally separated flow is forced to be attached by the blowing jets. The lift coefficient is enhanced and the drag coefficient is reduced. When the jets are switched off, the fully attached flow recovers to the originally separated flow. The jet-removal process has about 70% longer transient time than the jet-deployment process. Flow through fractal orifices in pipes is studied to investigate the passive control effect of the orifice geometries in flow mixing and decay. The simulation results are in good agreement with the available experimental data. With a higher fractal level, the vena contracta velocity decreases and the unrecoverable pressure loss becomes smaller. The higher level fractal orifices generate more organized vortices, maintaining a high turbulent kinetic energy for a longer distance and a slower decay. Axis-switching is observed for all these fractal orifices.
Application of Jerk Analysis to a Repetitive Lifting Task in Patients with Chronic Lower Back Pain

Patients with chronic lower back pain (CLBP) typically demonstrate different biomechanics than healthy controls during a lifting task. Motion differences in a repetitive lifting task have been described previously using differences in the timing of body angles changes during the lift. These timing changes rely on small differences of motion and are difficult to measure and to interpret. The purpose of this study is to evaluate shoulder jerk (rate of change of acceleration) in a repetitive lifting task as a parameter to detect differences of motion between controls and CLBP patients and to measure the impact of a rehabilitation program on jerk. The jerk calculation proved to be a noisy measure since jerk is the third derivative of position, and a simulation study was performed to evaluate smoothing methods to provide the best estimates of the third derivative. Woltring's generalized cross-validation spline produced the best estimates and was fit to subject data. Derivatives were calculated using differentiation of the spline coefficients, and root-means-square (rms) amplitude of jerk was used for comparison. Lifts were divided into phases of early, middle or late based on the number of repetitions completed by the subject. Average values of rms jerk during a lift were computed at each of the task phases. Significant group differences were found for rms jerk. CLBP patients were found to perform lifts with lower jerk values than controls and as the task progressed, rms jerk increased for both groups. A group-by-phase interaction was significant. After completion of a rehabilitation program, CLBP patients performed lifts with greater rms jerk. In general, patients performed lifts with lower jerk values than controls, suggesting that pain impacts lifting style.
L’efficienza tecnica dei distretti di Corte d'Appello italiani: aspetti metodologici, benchmarking e arretrato smaltibile

L'efficienza tecnica dei distretti di corte di appello italiani viene misurata mediante il metodo DEA (Data Envelopment Analysis). L'analisi consente di valutare l'efficienza relativa di ciascun distretto come distanza radiale dalla frontiera efficiente, definita dalle prassi migliori, e di individuare le variazioni dei fattori necessarie affinche un distretto inefficiente emuli il proprio benchmark (distretto o gruppo di distretti di riferimento collocati sulla frontiera). Viene inoltre effettuata la scomposizione dell'efficienza totale in efficienza tecnica pura ed efficienza di scala e, per ciascun distretto inefficiente, viene calcolato l'arretrato smaltibile. Infine, sulla base di un'analisi multivariata di tipo tobit, si stima l'influenza sull'indicatore di efficienza di una serie di fattori socio-economici del contesto territoriale.
A Metric Model for Intranet Portal Business Requirements

Abstract : This research provides the first theoretical model the Intranet Efficiency and Effectiveness Model (IEEM) for the Family of measures approach to measure Web activity as well as a holistic framework and multi-disciplinary quality paradigm approach not previously derived in viewing and measuring intranet contributions in the context of a corporation's overall critical business requirements. This is accomplished by applying a balanced baseline set of metrics and conversion rations linked to business processes as they relate to knowledge workers, IT managers and business decision makers seeking to increase value. It also outlines who should conduct these measurements and how in the form of a business intelligence team and provides a means in which to calculate return on intranet metrics investment (ROIMI) with a common unit of analysis for both aggregate and sub-corporate levels through forms of the Knowledge Value Added (KVA) and Activity Based Costing (ABC) methodologies.
analog design essentials

Comparison of MOST and Bipolar transistor models. - Amplifiers, Source followers & Cascodes. - Differential Voltage and Current amplifiers. - Noise performance of elementary transistor stages. - Stability of Operational amplifiers. - Systematic Design of Operational Amplifiers. - Important opamp configurations. - Fully-differential amplifiers. - Design of Multistage Operational amplifiers. - Current-input Operational Amplifiers. - Rail-to-rail input and output amplifiers. - Class AB and driver amplifiers. - Feedback Voltage and Transconductance Amplifiers. - Feedback Transimpedance and Current Amplifiers. - Offset and CMRR: Random and systematic. - Bandgap and current reference circuits. - Switched-capacitor filters. - Distortion in elementary transistor circuits. - Continuous-time filters. - CMOS ADC and DAC principles. - Low-power Sigma-Delta AD converters. - Design of crystal oscillators. - Low-noise amplifiers. - Coupling effects in Mixed analog-digital ICs.
Supporting critical operational conditions in an electricity distribution control room through ecological interfaces

Designing ecological interfaces to solve real design problems in large-scale complex systems is an open issue for research. This paper presents and discusses an ecological interface, designed to support operations in an electricity distribution control room, during critical operational conditions. After an introduction, the ethnographic and cognitive work analyses performed to elicit the requirements specification of the ecological interface are presented briefly. The specific characteristics of critical operational conditions are then presented. The main features of the designed ecological interface and the way the designed interface supports the management of two real incidents, are presented next. The paper concludes discussing the way the various features of the developed ecological interface support operators' cognitive tasks.
Translanguaging: a pedagogical concept that went wandering

ABSTRACT The term translanguaging goes back more than a quarter-century, originating in the domain of the teaching of Welsh, but it has over the years developed a wide variety of usages. While translanguaging is claimed to have advantages over other language education models, many of its new interpretations, which take it some distance from its original pedagogical sense, are seen by some as problematic. The new conceptualizations go beyond the pedagogical practice of drawing on multiple language varieties in order to facilitate learning; they, indeed, often extend to general, overarching accounts of language deployment among multilinguals, which sometimes do not differentiate between individual language competencies. Proponents of translanguaging in its more traditional sense point to pedagogical advantages and opportunities it presents in the (language) classroom. Even in this context, however, there is debate about the appropriateness of utilizing translanguaging in, for example, minority language maintenance contexts. In this article, we explore the variety of uses of the term translanguaging and the attendant claims attached to them. Our conclusion is that the critical factor in the capacity of the term to retain coherence and intelligibility is the maintenance of constant awareness of and attention to the perspective in which it is applied.
Integrating industry professional program into ICT education curriculum

The current crisis in Information Communications Technology (ICT) skills shortage is generally attributed to falling enrolments since 2001. The number of student enrolments in ICT degrees offered by universities has been decreasing globally over the last few years. Whilst the industry and government stakeholders play a vital role in addressing the ICT skills shortage, universities play an equally important role in ensuring the alignment of ICT course curriculum with the industry. This paper describes the development of an industry professional or practicum program with a two-fold aim: (i) to attract students and to de-mystify that IT is not an interesting career and (ii) to prepare and train students to be multi-disciplinary (ie Business and IT) ready graduates to meet the employability needs of industry. This paper recounts the experiences of four students who undertook a 16 week industry placement in an IS/IT organisation. This practice based paper also reports on the experiences of the program from its inception using different perspectives: student, language skills specialist, course coordinator, lecturer, the Administrative Manager and industry. The paper concludes with eight lessons learned for institutions considering offering such program.
Communities and reputation on the web

Search engines play a valuable social role by increasing the visibility of information on the world wide web. While their retrieval performance is impressive, little work has been done to support other social needs, such as evaluating the reputation of information. The goal of this work is to enable search systems to use the social context, of a particular community, to assess the reputation of web pages. We shall start by assuming that we can do textual retrieval well: in particular, that we can perform broad-topic queries which return large sets of pages. A community is defined by the pages in such a set. We argue, based on considerations of the nature of human activity, that it is reasonable for algorithms to focus on the hyperlinks between pages in the community, in order to assess reputation. We demonstrate that a good candidate for doing such link analysis is the HITS algorithm. However, this has problems of slow execution, instability of results, and an issue known as topic drift: when analysing link structures, pages in “nearby” communities sometimes garner overly high scores. To improve execution speed, we show that we can define a measure of centrality in a vector space, which generalises the HITS model and makes it analogous to Latent Semantic Analysis, a powerful text analysis technique. The Generalised HITS algorithm precomputes global summary vectors and uses them to perform local reputation calculations quickly. To tackle both instability and topic drift, we introduce a tunable parameter which reduces the influence of nearby communities, without losing the benefits of the HITS algorithm. The calculation is efficient enough to allow us to control this effect interactively. Using controlled experiments, we verify that our techniques succeed on realistic simulations of the web, which match observed properties such as the “power-law” linkage structure. We also consider the real linkage structures created by webloggers, and show that we have the same ability to judge reputation. These techniques enable us to integrate the presentation of reputation judgements into web-scale search systems, in a way which is justifiably meaningful, accommodating of realistic web phenomena, and community specific.
Pesticide Applicator Certification Tests: Validation and the Limits of Score Meaning

A review of the basic elements of modern validity theory and an argument-based approach to validation clarifies the principle reason for a deliberative, job-oriented approach to pesticide applicator certification test development: appropriate score interpretation and use. When more meaning is imputed to scores than is warranted, stakeholders may be misled and program credibility can suffer. Special care should be taken to avoid making predictive claims for certification test scores. Caution is also advised when associating the concept of "competence" with score results. Keywords: test, validation, scores, pesticide, applicator, certification
Simulação de escoamentos viscoelásticos : desenvolvimento de uma metodologia de análise utilizando o software Openfoam e equações constitutivas diferenciais

1 GIMSCOP (Grupo de Integracao, Modelagem, Simulacao, Controle e Otimizacao de Processos Quimicos e Biotecnologicos) 2 Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia and Wikki Ltd, United Kingdom. Departamento de Engenharia Quimica, Universidade Federal do Rio Grande do Sul (UFRGS) R. Eng. Luis Englert, s/n. Campus Central. CEP: 90040-040 Porto Alegre RS BRASIL, E-MAIL: {favero, nilo}@enq.ufrgs. br, arge@peq.coppe. ufrj.br, h.jasak@wikki.co.uk
The use of process metrics to evaluate product development projects

Product development success is an important strategic factor in today's business environment. The ability to accurately predict the outcome of product development projects would be a useful strategic tool. This research will use a product development process assessment survey called "Perform" to evaluate project success and also evaluates the effectiveness of the "Perform" survey. Two abilities of the survey are evaluated. The first is the consistency of the responses from different members of the development team. The second is the ability of the survey to predict the outcome of the project. The survey is evaluated by applying the survey to two projects that have been completed. The results of each respondent are compared for consistency. The results of the project are also compared to the results of the survey to gauge the predictive ability of the survey. Perform was found to provide fairly consistent responses from members of the development team. The survey did a good job of predicting project outcome.