Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Structural Feedback Provided by Pathfinder Networks

Within the field of education, there has been an increasing recognition of the importance of formative assessment and of structural knowledge. In an effort to fill needs in each of these areas, this article describes an innovative feedback strategy intended to improve students' structural knowledge. Twenty-four high school physics students were assessed using Pathfinder networks (PFnets) for their structural knowledge of a just-completed unit on work, energy, and power. As feedback, students were shown both their PFnet and a referent PFnet and were asked to reflect on the differences. In addition, misconceptions regarding the concept of work were identified in their PFnets and used to present individualized remedial exercises to each student. Following this feedback/remediation session, students' structural knowledge was again assessed. Results indicate that overall structural knowledge improved following feedback/remediation. In addition, structural knowledge of the concept work improved more than a control concept, indicating that feedback plus remediation had a larger effect than just feedback. We discuss the innovative features of the feedback strategy employed: the novel application of a computer-based assessment tool to provide graphical feedback aimed at improving structural knowledge.
Securing Financially Sensitive Environments with OpenBSD

This thesis investigates the use of a free, open source UNIX-based operating system in providing security features to a financially sensitive business function such as a treasury. We start by examining some of the main security features (such as the pf firewall and systrace policies) which are included with the operating system, how they work and how such features can be used within a financial environment. We then examine possible problems with each feature and the introduction of such a feature into the business environment. We also explore some of the criticism that OpenBSD has received and additional features which could be useful to business. We then look at some examples of statutory and regulatory requirements, and how OpenBSD’s features may be mapped to address such requirements. As part of this we examine how open source software in general can be utilised and some of the advantages and disadvantages of it against similar commercial offerings. We then see a case study based on a real-world treasury, and some of the serious security concerns which are faced by security officers responsible for such departments. We explore how OpenBSD can be applied within an infrastructure to provide key security services and address some of the specific concerns raised in the treasury security assessment. Finally, we provide conclusions and suggestions for future work.
Fiendishly Difficult Questions: Possible Limits and Aesthetic Pleasures of Simulation

Simulations facilitate the construction of increasingly complex theories, which, in turn, suffer three attendant curses. By definition, complex theories have many variables, decreasing the chances that all of them will be clear and measurable. This makes complex theories difficult to test, decreasing the chances they will be adequately tested, and difficult to understand, and decreasing the chances of attracting or sustaining an audience. However, constructing simulations that embody complex theories provides an opportunity for new perspectives and insights, and an occasion to renew respect for the complexities of the phenomena that they simulate. These are aesthetic benefits concordant with the definition of science as art with numbers.
Character and Word Baselines Systems for Irony Detection in Spanish Short Texts

La ironia verbal es un fenomeno linguistico en donde el significado expresado es el opuesto al significado literal del mensaje. Es un reto para el Procesamiento de Lenguaje Natural ya que se debe ensenar a un sistema una forma de reconocer y procesar el cambio de polaridad de lo expresado. Aun cuando han habido esfuerzos recientes en la identificacion de ironia y sarcasmo, ninguno de estos aborda el problema en espanol. En este trabajo nos enfocamos en establecer un sistema base de clasificacion usando caracteristicas simples al nivel de palabras y caracteres para entradas en espanol de la red social Twitter. Presentamos sistemas basados en maquinas de soporte vectorial y selvas aleatorias usando n-gramas, asi como un enfoque distribucional (i.e., word2vec).
A review on bioinformatics using data mining techniques

Bioinformatics alludes to the accumulation, grouping, storage and the investigation of biochemical and organic information. It uses PCs particularly, as executed toward sub-atomic hereditary qualities and genomics. Data mining is utilized to extract the data from a lot of information. Data mining comprise of two models, they are predictive and descriptive. Managing data intends to assemble data into an arrangement of classes either with the end goal to learn new antiquities or see new domains. For this reason specialists have dependably searched for the shrouded examples in information that can be characterized and contrasted and other known thoughts dependent on the comparability or disparity of their credits as indicated by all around characterized rules. We have shown the overview of different information digging algorithms for the combination of different examination instruments material specifically explore errands. There is no particular clustering algorithm, however different algorithm are used dependent on domain of information that establishes a group and the level of proficiency required. Clustering techniques are classified dependent on various methodologies. This paper is a review of few clustering methods out of numerous in data mining. The Clustering techniques which have been reviewed are: K-medoids, Fuzzy C-means, K-means, Density-Based Spatial Clustering of Applications with Noise and Self-Organizing Map grouping. This paper overviewed the some algorithm gives the best outcome. The scientists utilized diverse arrangement algorithm in which are to be specific K-Nearest Neighbor classifiers, Artificial Neural Networks, Bayesian system, Decision tree, Support Vector Machine.
Applying Bi-clustering Algorithm in Customer Segmentation for High-Value Customers

As one of the most popular data mining techniques, clustering is an important way of exploratory data analysis and pattern discovery given the explosive increasing amount of dataset. Applying clustering in customer segmentation is a common method to discover high-value customers. However, traditional clustering methods such as k-means are performing single direction (either row or column) on the data matrix, and thus the clustering results might involve cases that are irrelevant to specific dimensions. Besides, traditional clustering is achieved upon the whole set of attributes or variables, and therefore only capable of discovering global information. Along this line, in order to reduce the dimensions and find out potential local patterns in the data matrix, we proposed a bi-clustering algorithm for customer segmentation. Our experiments using supermarket customer dataset improve the effectiveness and efficiency of proposed bi-clustering algorithm.
Systems analysts performance using CASE versus manual methods

A laboratory experiment was conducted to determine if systems analysts who use computer-aided software engineering (CASE) tools perform work of higher quality than those who do not use CASE. A group of subjects used a CASE tool to prepare data-flow diagrams and data dictionary entries to represent a system. A second group used traditional pencil-and-paper methods. The outputs of the two groups were compared using three attributes of quality, namely correctness, completeness, and communicability. Correctness is the only attribute of quality in which a significant difference between the two groups of subjects was detected, the CASE tool users being more correct. This result is attributed to the nature of CASE tools. The lack of association between the use of a CASE tool and completeness and communicability has led to the conclusion that the CASE tool does not lead the user to represent the problem more accurately nor does it help the user to understand the problem better. Developing complete and easily understood data flow diagrams and data dictionaries are perhaps quality attributes of the systems analysts themselves, not of the tool they use. <<ETX>>
Competency Improvement Needs of Metalwork Teachers in the Use of Computer Numerically Controlled Machine Tools in Technical Colleges in Oyo State Nigeria

The purpose of the study is to determine the Competency Improvement Needs of metalwork teachers in the use of computer numerically controlled machine tools in technical colleges in Oyo State, Nigeria. Two specific purposes and research questions guided this study. A survey research design was adopted for the study. The study was carried out in Oyo State, which is located in the southwestern part of Nigeria. The population for the study comprised of all the 35 metalwork teachers in the technical colleges in Oyo State. A 44 competency item questionnaire was developed and used to collect data. The questionnaire had two types of scale responses of required and performance. The questionnaire was validated by three experts in technical education. Cronbach’s Alpha was used to determine the reliability co-efficient of the instrument, which yielded a co-efficience of 0.86. Data obtained were analyzed using mean and Improvement Needed Index (INI) to answer the research questions. It was found out by the study that the teachers needed improvement in 18 competencies identified by the study. It was therefore recommended that the findings of this study be utilized to organize in-service training programmes for the teachers to enable then use CNC machines effectively. Keywords: Competency Improvement Needs; Computer Numerically Controlled Machine Tools; Teacher Training; Technical Colleges; Technical and Vocational Education
Performance of dynamic channel assignment methods in cellular systems using beam tilting and adaptive array

Beam tilting and adaptive array are known as antenna techniques to increase frequency utilization efficiency in cellular systems. In this paper, we evaluate performance of some dynamic channel assignment methods in cellular systems using beam tilting and an adaptive array at base stations. The evaluated dynamic channel assignment methods are channel segregation, ARP (autonomous reuse partitioning), SORP (self-organized reuse partitioning) and a current method in PHS (CMP). We evaluate the performance according to the number of wireline circuits at a base station. Computer simulation results show that beam tilting and adaptive array improve interference rate performance regardless of the number of wireline circuits at a base station, and improve blocking rate performance in the case where a base station has many wireline circuits.
Création et pré-étalonnage de tests de tâches nouvelles évaluant les fonctions exécutives de patients cérébrolésés

Objectif : Le syndrome dysexecutif est une sequelle frequente et invalidante apres une lesion cerebrale severe. On constate souvent une dissociation entre les resultats aux tests neuropsychologiques classiques, souvent tres structures, et des difficultes observees par les patients au quotidien. Ces difficultes apparaissent particulierement lors d’activites non routinieres, notamment celles qui necessitent l’activation de schemas d’actions nouveaux. Nous avons developpe trois tests mettant le sujet devant une activite nouvelle et ecologique et permettant des evaluations sequencees. Materiel : Ces trois tests consistent en la realisation d’une boite de chocolat, d’un lutin (ou trieur) de recettes de cuisine et d’un pilulier. Nous avons etabli les consignes, choisi le materiel, etabli des fiches de passation et elabore un systeme de cotation simple. Nous avons effectue un pre-etalonnage sur trente sujets controles et avons etudie les performances de quatre patients a ces tests. Resultats : Une absence de correlation a ete constatee sur les scores bruts entre les 3 tests mais une forte significativite des correlations sur le temps passe sur chaque test a ete relevee.Nous avons propose une analyse qualitative du resultat de quelques patients. Discussion : Les consignes, le systeme de cotation, ou la taille de la population controle peuvent expliquer ces resultats. La composante du temps est essentielle puisque les errances et hesitations y sont implicitement representees. Conclusion : Le systeme de cotation devra etre modifie et la population controle elargie pour affiner les resultats de cette etude.
An edge-based block segmentation and classification for document analysis with automatic character string extraction

Presents an edge-based block segmentation and classification with automatic character string extraction for document analysis. By exploiting only four edge features from the gradient and the orientation of the edge pixels, we can make the block segmentations, classifications, and the character string extractions all insensitive to the background noise and the brightness variation of the image. We can efficiently classify a document image into seven categories of small-sized letters, large-sized letters, tables, equations, flow charts, graphs, and photographs, the first five of which are text or character blocks containing characters, and the last two are non-character blocks. We can obtain an efficient block segmentation with reduced memory size by introducing the column and the text line intervals of the document in CRLA (constrained run length algorithm). The simulation results show that an efficient document image segmentation, block classification, and the character string extraction can be done concurrently.
Interference analysis and capacity for mixture of forward link cdma2000-1X and 1xEV-DV voice traffic

Cdma2000 is a third generation wireless communications technology that provides seamless evolution from voice to high speed data and video through 3Glx, IxEV-DO, and IxEV-DV path. Integrating both voice and data services, IxEV-DV supports packet data rates up to 3 Mbps. However, simultaneous operation of 3Glx and IxEV-DV calls may degrade system capacity significantly as compared to operation of 3Glx calls alone. This paper presents analytical methodology in calculating interference for mixed 3Glx and IxEV-DV calls made in the forward link. Monte Carlo simulations are performed to obtain capacity of the system. Results show that 3Glx system capacity is lowered by 2/3 and 1/3 at 0.1% and at 0.5% outage levels, respectively, when 3Glx and IxEV-DV calls are simultaneously made.
Static and dynamic spatial resolution in image coding: an investigation of eye movements

Large savings in bandwidth can be achieved when an image is displayed at full resolution at the center of gaze, and at lower resolution outside this central area. However, these savings require real-time monitoring of the observer's eye-position and real-time processing of the image. Hence, such techniques are limited to a single viewer. It would be useful if a reduction in bandwidth similar to that obtained with a single viewer could be achieved with multiple viewers, and without real- time monitoring of eye-movements. It is clear that this technique would be feasible only if different viewers looked at the same part of an image at the same time. In the present research, twenty-four observers viewed 15 forty-five-second clips of NTSC video while their direction of gaze was monitored. The goal of the research was to assess whether information about viewing behavior could be used for image coding. Our analysis of the viewing behavior showed that there was a substantial degree of agreement among viewers in terms of where they looked. We conclude that incorporating information about viewing behavior into video coding schemes may result in appreciable bandwidth savings.
Measuring the gender disparities in unemployment dynamics during the recession: evidence from Portugal

ABSTRACT This article researches gender differences in the incidence and persistence of unemployment during the debt crisis and recession in Portugal through estimating a dynamic random effects probit model to control for unobserved individual heterogeneity and for the ‘initial conditions’ problem. The estimation applies data from four waves of ICOR – the Survey on Income and Living Conditions between 2010 and 2013. We find strong evidence of persistence in unemployment alongside indications that men are more prone to enduring negative implications from previous periods of unemployment. Simultaneously, we find evidence of a greater likelihood of unemployment for women through a fixed effect designed to capture gender discrimination in unstable labour markets. Our results suggest that policies to boost employment should accommodate a gender dimension and also place a special emphasis on the long-term unemployed.
Study of scalability properties of two LP-based algorithms for traffic engineering in a flat differentiated services network

Two mixed-integer linear programming (MILP) formulations of a centralized, off-line traffic engineering tool are compared with respect to their scalability properties. Such an algorithm can be used to optimize the routing configuration in a DiffServ network. It is shown that a considerable reduction of the number of variables and constraints can be obtained by pairing primary and protection path candidates prior to the routing optimization. Simulations of networks with different sizes evidence this result,.
Optimal Planning and Operational Strategy of a Residential Microgrid With Demand Side Management

This paper proposes a joint optimization model of grid-tied residential microgrid (MG) planning and operation with the support of demand side management (DSM). In this model, the residential MG is included with various distributed energy resources, such as photovoltaic units, wind turbines, microturbines, diesel engine generators (DEs), and battery energy storage systems (BESSs). The proposed model is formulated as a bi-objective optimization problem in view of economic and environmental contemplation. Therefore, the minimization of MG total annual cost and total annual emission are considered as the primary objectives. This paper mainly analyzes the benefits of DSM assistance in the process of residential MG joint planning and operation optimization. The proposed bi-objective optimization problem is converted into a single-objective optimization problem and the single-objective problem is solved using a mixed integer linear programming method. To investigate the impacts of DSM on the MG planning and operation problem, the proposed model is applied to a residential MG consisting of 1000 smart homes with different DSM participation levels. The simulation results show that the proposed model is an efficient tool for residential MG planning and operation optimization from the perspective of economic and environmental considerations.
THE IMPLEMENTATION OF RECIPROCAL TEACHING METHOD TO THE STUDENTS’ READING COMPREHENSION ON THE ELEVEN GRADES OF IPA 1 AT SMA MUHAMMADIYAH PAMEKASAN

Many techniques can be applied to solve the problems above, including Reciprocal Teaching Method because many research findings say that this technique is effective to the students’ reading comprehension. In this research, the researcher located at SMA Muhammadiyah Pamekasan. The approach of this reasearch is qualitative and the data are gotten by observation, interview and documentation. Then, those data are analyzed with analysis qualitative- descriptive and all of data gotten are checked the validity of the data. Reciprocal teaching refers to an instructional activity in which students become the teacher in small group reading sessions. Teachers model, then help students learn to guide group discussions using four strategies: Predicting, Questioning, Clarifying and Summarizing. Reciprocal teaching is most effective in the context of small-group collaborative investigation, which is maintained by the teacher or reading tutor. The objectives of the study are (1) the researcher wanted to describe how the teacher implement reciprocal teaching method to the students’ reading comprehension on the eleven grades of IPA 1 at SMA Muhammadiyah Pamekasan is. (2) And the researcher wanted to figure out the students’ responses in studying reading by reciprocal teaching method. The result of the research shows that (1) The teacher implemented the reciprocal teaching well in the teaching and learning process. The teacher divided the class into five groups and gave the students worksheet, the teacher gave the students an analytical exposition text and asked them to do worksheet with their group, the teacher pointed the students one by one to read the result of the discussion and the teacher discuss together with the students about the material and giving the conclusions. (2) The reciprocal teaching method is able to make the students having more spirits to read and study reading comprehension because reciprocal teaching is an effective method to make the class more interesting. The result of the last research is questionnaire for the learners. Most of the learners were happy to study reading by using reciprocal teaching method.
Improving Truck and Speed Data Using Paired Video and Single-Loop Sensors

Real-time speed and truck data are important inputs for modern freeway traffic control and management systems. However, these data are not directly measurable by single-loop detectors. Although dual-loop detectors provide speeds and classified vehicle volumes, there are too few them on our current freeway systems to meet the practical needs of advanced traffic management systems. This makes it extremely desirable to develop appropriate algorithms to calculate speed and truck volume from single-loop outputs or from video data. To obtain quality estimates of traffic speed and truck volume data, several algorithms were developed and implemented in this study. These algorithms are (1) a speed estimation algorithm based on the region growing mechanism and single-loop measurements; (2) a set of computer vision-based algorithms for extracting background images from a video sequence, detecting the presence of vehicles, identifying and removing shadows, and calculating pixel-based vehicle lengths for classification; and (3) a speed estimation algorithm that uses paired video and single- loop sensor inputs. These algorithms were implemented in three distinct computer applications. Field-collected video and loop detector data were used to test the algorithms. Our test results indicated that quality speed and truck volume data can be estimated with the proposed algorithms by using single-loop data, video data, or both video and single-loop data. The Video-based Vehicle Detection and Classification (VVDC) system, based on proposed video image processing algorithms, provides a cost-effective solution for automatic traffic data collection with surveillance video cameras. For locations with both video and single- loop sensors, speed estimates can be improved by combining video data with single-loop data.
USE OF CONSOLIDATION STRATEGIES IN ORDER TO IMPROVE THE CORPORATE SECURITY: METHODOLOGICAL ASPECT

The scientific work is devoted to the issue of sustainable development of various corporate structures in order to increase their level of security through the use of consolidation strategies. The econometric modeling of the use of the strategic approach in the corporate consolidation of business structures has been carried out; the indicators of corporate governance estimate on the pre-integration phase have been proposed. The model of corporatization of corporate structures and the growth of the level of corporate security within the framework of consolidation strategies have been developed based on the emergent effect of the new structure. The methodical approach has been formed in order to optimize the choice of business structures that claim to become part of the consolidated system.