Miracle-dz/UniFAR-FTUs huggingface dataset:
A Theory-based Study of Graph Mining

During the last decade or so, the amount of data that is generated and becomes publicly available is rapidly growing. This makes it impossible to extract useful information from this huge amount of data manually without using automatic tools and algorithms. Data mining has been defined as the process of automatic extraction of useful and previously unknown information from a large dataset using techniques from statistics, artificial intelligence and database management. Furthermore, in many applications, such as Bioinformatics, the world wide web, social and technological and communication networks, data are usually represented with graphs. This makes graph mining practically interesting, while also a challenging research area, due to high computational cost involved in processing graph data. In this dissertation, we investigate two key problems in graph mining: frequent pattern mining and betweenness centrality computation. Existing algorithms for finding frequent patterns from large single networks mainly use subgraph isomorphism. However, subgraph isomorphism is expensive to compute: deciding whether one graph is subgraph isomorphic to another graph is NP-complete in terms of the sizes of the graphs. Recently, a few algorithms have used subgraph homomorphism. However, they find very restricted classes of patterns such as trees. The main challenge with pattern mining under subgraph homomorphism is the pattern generation phase. In this work, we go beyond trees and propose an efficient algorithm for mining graph patterns from large networks under homomorphism. We introduce a new class of patterns, called rooted graphs, and present an algorithm for complete generation of rooted graphs. We also propose a new data structure for compact representation of all frequent patterns. By performing extensive experiments on several real-world and synthetic large networks, we show the empirical efficiency of our proposed algorithm, called HoPa. We then present an efficient algorithm for subtree homeomorphism with application to frequent pattern mining. We propose a compact data-structure, called occ, that can encode and represent several occurrences of a tree pattern and define efficient join operations on the occ data-structure, that help us to count occurrences of tree patterns
An Algorithm for Mining Global Closed Frequent Itemsets Based on Distributed Frequent Concept Direct Product

With increasing distributed computing environment applied extensively,traditional center data mining algorithms which are based on concept lattice could not take full advantage of distributed computing resources to improve the time efficiency of constructing concept lattice.In consequence,the performance of mining algorithms could be affected.In this paper,we firstly further analyze the deep underlying parallel features of apposition assembly of Iceberg concept lattice.Secondly,we consider the sets which are consisted of the frequent concept direct produce and its lower cover as minimal computing units.And then those units can be scattered,handled distributively,and finally integrated into a global Iceberg concept lattice.The procedure of distributed assembly of Iceberg concept lattice is theoretically proved correct.Based on above works,a new algorithm is proposed to mine global closed frequent itemsets in heterogeneous distributed computing environment.This algorithm exploits the good quality of semi-lattice and apposition assembly construction,both of which are induced by Iceberg concept lattice.Therefore the algorithm has the ability to make the most of advantage of the computing sources in the distributed environment.It shows excellent efficiency of global data mining under both dense and sparse heterogeneous distributed data sets in experiments.
Play It High, Play It Low: Examining the Reliability and Validity of a New Observation Tool to Measure Children's Make-Believe Play.

The authors consider mature make-believe play a critical component of childhood that helps children develop new skills and learn to communicate. They argue that, although theoretical accounts of play have emphasized the importance of make-believe play for children to achieve social and academic competence, the absence of a reliable and valid measure of children’s mature make-believe play has hampered the evaluation of such claims. They seek to address this shortcoming with a review of the psychometric characteristics of existing assessments and with their findings from a new assessment using the Mature Play Observation Tool (MPOT), which they administered during a multiyear longitudinal study of twenty-six early-childhood classrooms. They found that children in classrooms scoring well on the MPOT better perform such skills as self-regulation, literacy, and numeracy.
Application of Wavelet Neural Network to Power Harmonic Detection

Harmonic detection technology is one of the key technologies determining the development of active power filter (APF). It is difficult to detect the real-time harmonic accurately because of the features of power network harmonic,such as inherent nonlinear,random,distribution,non-stationary and the complexity of impact factors,so the study of the harmonic's detection methods is very important for power system.A harmonic detection method based on wavelet neural network combining wavelet with neural network is proposed,and the wavelet neural network.The simulation results show that this method can detect the power network harmonic accurately and realtime.
Multi-class Incremental Learning Based on Support Vector Machines

Support vector machines are successfully applied to solve a large number of classification and regression problems.But it may sometimes be preferable to learn incrementally from previous SVM results,as SVMs which involve the solution of a quadratic programming problem suffer from the problem of large memory requirement and CPU time when they are trained in batch mode on large data sets,especially on multi-class problem.An approach for incremental learning based on support vector machines is presented,and is used to solve multi-class real-world problem.
Power disparity and team conflict: The roles of procedural Justice and legitimacy

to be positively related to team legitimacy. Finally, following the procedures suggested by Grant and Berry (2011), we conducted a mediated moderation analysis to test the integrative model. The results showed that team legitimacy mediated the moderation effect of procedural justice on the relationship between power disparity and team conflict (task conflict and relationship conflict). Our findings contribute to the literature in two ways. First, the study extends our understanding of the relationship between power disparity and team conflict by testing procedural justice and team legitimacy as moderators. Second, our findings reveal that power disparity can either decrease or increase team conflict when procedural justice (team legitimacy) is high and low, respectively. Our study thereby provides a new approach to the effects of power disparity that integrates the functional and dysfunctional perspectives.
Whitewashedness in Teacher Education: Intertextuality Between Colorblindness and the Ferguson Event

Whitewashedness has been trickling down in language classrooms through assimilation and colorblind practices. These practices have irreversible effects on the psyche of immigrant and refugee learners in K-12 schools. This research study investigates 15 teacher candidates’ ideologies regarding colorblindness by empowering them to create intertextual links to Ferguson event, which happened in close proximity to where they teach. The study revealed how colorblindness perpetuated among the teacher candidates when they were in schools as students, how they were empowered to unpack the meaning of colorblindness, and how the White males in the program resisted to acknowledge White privileges and colorblindness.
Verification of user information

Often, software providers ask users to insert personal data in order to grant them the right to use their software. These companies want the user profile as correct as possible, but users sometimes tend to enter incorrect information. This thesis researches and discusses approaches to automatically verify this information using third-party web resources. Therefore, a series of experiments is done. One experiment compares different similarity measures in the context of a German phone book directory for again different search approaches. Another experiment takes the approach to use a search engine without a specific predefined data source. Ways of finding persons in search engines and of extracting address information from unknown websites are compared in order to do so. It is shown, that automatical verification can be done to some extent. The verification of name and address data using external web resources can support the decison with Jaro-Winkler as similarity measure, but it is still not solid enough to only rely on it. Extracting address information from unknown pages is very reliable when using a sophisticated regular expression. Finding persons on the internet should be done by using just the full name without any additions.
College ESL Learners’ Politeness in Using Linguistic Taboos and Euphemisms: Looking Through the Socio-Pragmatic Lens

Many researches have delved into politeness theory, but few have studied how politeness theory operates within the context of college ESL learners through the use of linguistic taboos and euphemisms. This paper determines the extent of students’ use of and their perceptions about linguistic taboos and euphemisms. It has made use of the sequential-explanatory design. Participants were 313 college ESL learners in a premier state university. Data were gathered by using a questionnaire, focus-group discussion technique, and actual recorded conversations of the informants. In terms of politeness, ESL learners always strive to keep their “positive face” intact. Students perceive that taboo words are bad, masculine, and immoral. Moreover, this study posits that, sometimes, uttering linguistic taboos becomes a way by which people can establish closeness with others. Hence, taboo words may be uttered once in a while depending on the context and setting, such as when interlocutors are friends or have established a short social distance.
Selected Personality Traits and Stress Management in Current University Students of Education, Physical Culture and Natural Science

Recently there has been a growing interest of the professional community in the issue of health in university students as they represent the national capital and future investment of every society. University students thus constitute a specific population group. The factors influencing students’ health are strictly specific and are considered to be related to academic study. The main stressogenic factors include academic overload, constant pressure to be successful and competition among classmates. Generally, the population between twenty and thirty years of age represents a group with the lowest morbidity and mortality rate. However, some results of research studies aimed at risk factors influencing university population indicate that the health condition in university students is generally worse compared with non-student population of the same age. Similarly, there is a higher prevalence of psychological distress in university students in comparison with working non-student population of the same age. In the prevention of negative stress and its negative consequences an important role is played by adequate coping strategies that are integral part of stress management. This issue is addressed by the present study of current university students. Our research study involved a total of 522 students of Palacký University, Olomouc, namely from the Faculty of Education, Faculty of Physical Culture and the Faculty of Science. The study indicates
an Analysis Pattern for Event Driven Real-time Systems

In software developments, the simple succession of operations can easily be hard-coded. However, to control event driven systems, applications must conform to a well-defined sequence of operations, even simultaneous ones, that depends on a variable environment, on time constraints and on synchronization constraints between several sequences. In that kind of applications, too complex intertwined conditional statements must be avoided as well as blocking wait operations. Conditional statements quickly become complex and thus incomprehensible, particularly when several actions must be done simultaneously, whereas wait statements force all the application in a blocked state. Tasks can provide a solution for these kinds of problems. However, difficulties appear when no tasks support is provided by the chosen programming languages, when the number of parallel working tasks is limited, or when describing and implementing synchronization mechanisms are too complex. Moreover, the global behavior of the application is difficult to understand and deadlock situations can occur. Thus, specifying and reusing a flexible, reliable and on-line modifiable construction that defines sequences of different kinds of parallel actions is an easy, generic approach to this problem. The "Grafcet pattern" specifies such a construction. Its description in a pattern form not only provides an architectural solution but also a documentation about its use, the reasons for this particular solution, the benefits and drawbacks related to that pattern, the applicability context, etc.
ENTRENAMIENTO DE INTERVALOS DE ALTA INTENSIDAD (HIIT) EN ADULTOS MAYORES: UNA REVISIÓN SISTEMÁTICA

Durante los últimos años el entrenamiento interválico de alta intensidad (HIIT) ha aparecido como alternativa saludable a nivel cardiaco, muscular y adiposo en diferentes colectivos. Pese a ser un tema frecuentemente tratado en la actualidad, no existe a día de hoy un consenso claro sobre su utilidad y aplicación en el colectivo de los adultos mayores. Objetivos: Examinar el entrenamiento interválico de alta intensidad como medio de entrenamiento en personas adultas mayores (>60 años) y determinar su utilidad desde un punto de vista saludable. Metodología: Los estudios fueron incluidos en esta revisión si: (1) estudiaron el colectivo de los adultos mayores (>60años), (2) incluyeron en su intervención al entrenamiento HIIT y (3) persiguieron la consecución o búsqueda de efectos saludables. Resultados: 16 estudios fueron incluidos al cumplir con todos los criterios. Conclusión: El HIIT es un entrenamiento válido y seguro para el colectivo de los adultos mayores (>60 años). Sus beneficios están relacionados con mejoras a nivel cardiovascular, pulmonar, hemodinámico, lipídico, muscular y cognitivo.
Improved Fast Packet Classification Algorithm Applying to Multiple Fields

The Recursive Flow Classification(RFC) algorithm is a typical flow classification algorithm.It performs classification very quickly,consumes less memory,and supports scope matching,but it can't perform classification according to variable length string fields.Combined with the idea of Aho-Corasick multi-pattern matching algorithm,this paper improves the RFC algorithm,and the improved algorithm can effectively deal with the classification of variable length string fields.The experimental result illustrates that it not only extends the application scope of RFC algorithm,but also has good performance.
Diversity and Inclusion in Engineering: Students’ Perceptions of Learning and Engaging with Difference

Sean Eddington is a doctoral candidate in the Brian Lamb School of Communication studying organizational communication. He earned his B.A. in History from Purdue University, and his M.S. from Northwest Missouri State University. Sean’s research interests exist at the intersections of organizational communication, online organizing, resilience, and gender. He has researched new engineering faculty experiences throughout their on-boarding process, and has been published in 2015 Proceedings of the American Society for Engineering Education along with his research team. Eddington has also served as a series editor, contributed to trade publications, and facilitated workshops all related to higher education administrators’ work experiences.
Evaluative Spillovers from Technological Change: The Effects of “DNA Envy” on Occupational Practices in Forensic Science

Most studies of technologies’ impact on occupational change focus on occupational groups’ adoption and use of particular technologies in a field or workplace. Drawing on an 18-month ethnographic study of a crime laboratory, I focus instead on “evaluative spillovers”: the comparisons that occupations encounter when technologies change the work of neighboring occupations in their field. I explore what happened when DNA profiling was held up as the “gold standard” of forensic evidence, resulting in scientific, public, and legal scrutiny of other forensic science occupational groups. Comparisons with DNA profiling challenged the working techniques and the values of firearms examiners, toxicologists, and narcotics analysts, but each group responded differently, either embracing or resisting changes to their work practices. Their responses were predicated on the institutional pathways that evaluative spillovers traveled through the field in locales such as professional association meetings and court proceedings. These three aspects of the occupational system—technique, values, and institutional pathways—influenced how workers negotiated the impact of technological change in the field of forensic science.
The Independent Component Analysis and Its Application in the Geographical and Environmental Fields

This paper summarizes the principle and the model of Independent Component Analysis,and various algorithms based on the basic ICA problem,including the HJ neural network,the infomax and maximum negentropy algorithm.The performances of the these methods are compared,the gainable system of ICA algorithm on the web is introduced,the applications of ICA in the Geographical and Environmental fields are discribed and explained.
SVMDT Classifier and Its Application Research in Text Classification

Classifier based on SVM(Support Vectort Machine) theory has been developed as a general-purpose two-class classifier, but it is not suitable for multi-class classification. In the paper two basic classification algorithms are analyzed and combined them into one multi-class classifier(SVMDT). It is applied in text classification and the experimental results show that it has good performance in classification precision and test speed.
Online Materials to Aid in Language Learning

The Language Centre at Mexico City’s National University of Education Sciences (Universidad Pedagógica Nacional) has begun to implement blended learning in its courses to increase contact hours with the foreign language under study. Aware that the classroom hours are insufficient for students to obtain the B1 level on the Common European Framework of Reference, which is a new requirement for graduation at the bachelor’s level, the Centre decided in the autumn semester of 2015 to draft online lessons that would increase by fifty percent student contact time with English. This article overviews the planning and implementation of this project, where 60 lessons were written that supplement each one of the twelve units in the Centre’s five courses. After presentation of sample lessons from each of the five courses, reports on the follow up interviews with teachers are presented and analysed. The interviews revealed that most of the objectives were fulfilled. Success at this stage represents a steppingstone toward creation of a learning platform that will host virtual learning objects. The article closes with recommendations for further advancement.
Circling around the really Real in Iran

Iranian Shi’i believers claim that capturing sorrow and lamentation in their fullest sense falls beyond language and reason. They constantly refer to their inability to articulate in order to explain martyrdom and highlight a form of unsaid that explains all that appears impalpable for them. I undertake a journey among Iranian Shi’i youth to trace the unarticulated and the sense of wonder generated via religious experiences. By way of an ethnography of Muharram lamentation ceremonies, this article highlights how the unarticulated and the unsaid are socially and politically used in service of Shi’i militancy. I explore those uncharted terrains in the darkness of the Lacanian Real and in terms of how the Real is authenticated in order to address how realities are crafted and religious subjectivities are enacted in the realm of militancy.
The role of flash memory in database management systems

For the first time in the history of data processing systems, traditional hard disk drives (HDDs) are under pressure from flash storage in the form of solid state drives (SSDs) as the home for persistent data. SSDs fill the big gap in latency between the main memory and the HDDs, especially for random I/O accesses. However, the internals of database management systems (DBMSs) are traditionally designed and optimized for HDDs – for example, DBMS query processing methods go to great lengths to employ mechanism that generate sequential I/O accesses to the underlying I/O storage subsystem. The focus of this dissertation is on exploring how SSDs can be effectively integrated into existing DBMSs to improve the performance of database query processing methods. The first part of this thesis examines how traditional join algorithms are impacted when the database is stored entirely in SSDs. The next component of this thesis deals with extending the DBMS buffer pool to gracefully spill evicted pages from the main-memory database buffer pool into a SSD-based cache. In that architecture HDDs are still used to store the database, and the DBMS employs the SSD to accelerate the DBMS query processing performance. This approach allows building database configurations in which one can balance the amount of SSD, which is typically more expensive than HDDs from the $/GB perspective, to improve performance over a pure HDD-based I/O subsystem. We also examine how the SSD buffer pool accelerator can be used to improve the performance of the DBMS when restarting the DBMS following a system crash or a server shutdown event. The basic idea here is to carefully reuse pages that were cached in the SSD prior to the crash or shutdown, while preserving ACID transaction semantics. The final part of this thesis explores accelerating DBMS query processing using Smart SSDs. These SSDs have processing components that are built inside the SSDs and can be made available to run user programs. We explore how Smart SSDs can be used to selectively run certain database query processing operators to improve the overall query performance.