Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamical Behavior of Rumor in Online Social Networks

As a powerful tool for phase transition analysis, the mean-field theory of rumor spreading brings us a new method for research in Online Social Networks (OSN). Based on the theory of complex networks, we simulate the complex process of rumor spreading in OSN. Using numerical simulations with focus on the information spreading threshold as well as critical behaviors, we study the Susceptible-Infected-RecoveredSusceptible (SIRS) information dynamics model in OSN with asymmetric propagation. Basic principle and structure of OSN were analyzed. We present a rumor spreading model, where the influence of the neighbor trees is treated in a more realistic way and the definition of a neighborhood can be tuned by an additional parameter. Based on the mean-field theory approach, a contact network model with scale-free property is built. It is demonstrated that the asymmetry of propagation plays important role: we could redistribute the asymmetry to balance the degree heterogeneity of the network and then to restore the information threshold to a finite value. The relationship of spreading probability, network size, infected fraction and infected ratio are showed respectively in the paper. Our model exhibits a surprisingly sharp phase transition which can be shifted by a redefinition of the neighborhood. The result shows that the SIRS model built in this paper is valid and the simulation of the information propagation is feasible.
Approximation schemes for single‐machine scheduling with a fixed maintenance activity to minimize the total amount of late work

We consider the problem of scheduling n independent and simultaneously available jobs without preemption on a single machine, where the machine has a fixed maintenance activity. The objective is to find the optimal job sequence to minimize the total amount of late work, where the late work of a job is the amount of processing of the job that is performed after its due date. We first discuss the approximability of the problem. We then develop two pseudo‐polynomial dynamic programming algorithms and a fully polynomial‐time approximation scheme for the problem. Finally, we conduct extensive numerical studies to evaluate the performance of the proposed algorithms. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 172–183, 2016
Yenilikçi Davranış Ölçeği (YDÖ): Türk Kültürüne Uyarlama Çalışması

Gunumuzde okullar cevrenin degisen sartlarina gore kendilerini yapilandirmak, daha iyi ciktilar vermek, cevrelerindeki diger okullarla rekabet etmek ve ogrencileri degisen dunyaya hazirlamak konusunda giderek daha fazla baski altinda kalmaktadir . Bunun yaninda, uygulayicilar olarak ogretmenler ve yoneticiler merkezi politikalarin getirdigi degisimleri ve yenilikleri uygulamak ve egitim ogretim sureclerini bunlara gore yapilandirmakla yukumludur. Egitim sistemindeki reformlarin basariya ulasmasi icin bu uygulayicilarin yeniligi kabullenmeleri ve yaymalari, diger bir deyisle yenilikci davranis gostermeleri onemlidir. Ancak literaturde, herhangi bir okulda calisan ogretmenlerin birbirlerini degerlendirerek okuldaki yenilikci davranislarin seviyesini olcebilecek bir olcme araci yoktur. Bu arastirmanin amaci bu eksikligi gidererek de Jong ve den Hartog tarafindan gelistirilen Yenilikci Davranis Olcegi (YDO)’nin Turk kulturune uyarlanmasidir. Calisma grubunda farkli illerde gorev yapan 110 ogretmen bulunmaktadir. Olcegin uyarlanmasinda dil gecerliliginin tespiti icin korelasyon analizi, uyum derecesinin belirlenmesi icin dogrulayici faktor analizi ve olcegin guvenirligini tespit etmek icin guvenirlik analizleri yapilmistir. Dogrulama ve guvenirlige iliskin yapilan analizler dikkate alindiginda yenilikci davranislari olcmek amaciyla uyarlanan bu olcegin gecerli ve guvenilir bir olcme araci oldugu soylenebilir. Olcegin bu haliyle ogretmenlerin yenilikci davranislari hakkinda orgutsel cikarimlarda bulunabilmek icin yararli olacagi dusunulmektedir .
Computer Virus Evolution Model and Its Analysis

Computer viruses play extremely important roles in the anti-virus industry,because their existence makes software developers pay more attention to security and develop anti-virus technology.Therefore,computer viruses and their evolutions are worthy of thoroughly studying in scientific research sense.To further investigate the evolution of computer viruses,an immune genetic algorithm based model for computer viruses evolution is proposed,which draws inspirations from artificial life.The formal definition of computer virus is introduced,and the evolution operators including selection,crossover,inversion,and immune operator are presented.The simulation experiments indicates that computer viruses have enormously potential capability of self-propagation and self-evolution.Some defense strategies are discussed focusing on preventing unknown computer viruses.
ITU Validation Set

This paper presents the ITU Turkish Dependency Validation Set firstly introduced in 2007 [36] in order to serve as the test set of the CoNLL-XI shared task (shared task of the Conference on Computational Natural Language Learning 2007 [28] ). The dataset is available from http://web.itu. edu.tr/gulsenc/treebanks.html and is used by several academic studies so far.
PERAN INOVASI PRODUK MEMEDIASI ORIENTASI PASAR TERHADAP KINERJA PEMASARAN (Studi pada Usaha Mikro, Kecil dan Menengah Pie Susu di Kota Denpasar)

This study was headed to ascertain the effect of market orientation towards the marketing performance which mediated by innovation product. This research is conducted in Denpasar City, involving 30 respondents who are owners or managers of Pie Susu SMMEs. Determined by using the purposive sampling method. Data collection is conducted by distributing questionnaires. The data analysis techniques utilized in this research are the path analysis technique and Sobel test. Results of this research have shown evidence that product innovation is able to mediate the influence of market orientation on marketing performance. Based on the results of the study, it can be concluded with and product innovation capable of fully mediating the market influence on marketing.
Motion Panoramas Based on Three Points Registration

This paper presents a new motion panoramas method based on three points registration.Firstly,a criterion of feature template selection is proposed and applied to pick three feature points.Secondly,a miss registration elimination principle is given.Finally,the direct method is introduced for refinement.Extensive experiments applied to archive videos of track-and-field events validate the approach.
From Statistician to Data Scientist

According to a recent report from the European Commission, the world generates every minute 1.7 million of billions of data bytes, the equivalent of 360,000 DVDs, and companies that build their decision-making processes by exploiting these data increase their productivity. The treatment and valorization of massive data has consequences on the employment of graduate students in statistics. Which additional skills do students trained in statistics need to acquire to become data scientists ? How to evolve training so that future graduates can adapt to rapid changes in this area, without neglecting traditional jobs and the fundamental and lasting foundation for the training? After considering the notion of big data and questioning the emergence of a "new" science: Data Science, we present the current developments in the training of engineers in Mathematical and Modeling at INSA Toulouse.
Understanding the Relationship Between Second Language Teacher Beliefs and Their Instructional Practices: A Case Study of Core French Teachers

This study explores the relationship between Core French teachers’ beliefs and their instructional practices. In the literature, contextual elements, as well as the compatibility between teacher beliefs and second language teaching approaches such as communicative language teaching (CLT) have been regularly cited as key factors contributing to discrepancy between beliefs and practices. However, these factors did not adequately explain what I had witnessed as a teacher educator. To explore this topic, data were gathered via questionnaire, observations, and individual interviews on the beliefs and practices of Core French teachers in the Toronto, Ontario region. In analyzing the data through the lens of a hybrid framework of complexity theory and the theory of self-efficacy, small differences in how teachers handled chaos, the term used in complexity theory to describe periods of instability in non-linear systems such as Core French classrooms, were found to be a key factor in explaining discrepancies between beliefs and practices. Moreover, levels of self-efficacy were found to influence how teachers handled chaos. Findings also revealed important differences in outcome (e.g., teacher and student comfort with and use of the target language) in classes taught by teachers with a high degree of self-efficacy versus those with lower levels of self-efficacy.
Estudio de Tiempos y Movimientos para Incrementar la Eficiencia en una Empresa de Producción de Calzado

espanolSe presenta los resultados de un estudio de tiempos y movimientos en una industria que fabrica calzado. En primer lugar, se empleo un diagrama de Ishikawa y el metodo de las 6M para determinar la causa de la baja productividad. Seguidamente, se estandarizo las tareas utilizando un diagrama de proceso de operaciones y diagramas bimanuales. Finalmente, se establecio el tiempo de produccion aplicando un estudio de tiempos por cronometro. Con el uso de estas herramientas se determino que en ninguna de las areas el trabajo estaba distribuido equitativamente. A fin de dar solucion a estos inconvenientes se reasignaron tareas de una estacion a otra. Por ultimo, aplicando una hoja de verificacion se evidencio los resultados. Asi se comprobo que el uso de tecnicas de gestion productiva incrementa la productividad y la eficiencia en los procesos de produccion. Los resultados evidenciaron un incremento de la produccion del 5,49%. EnglishThis paper presents the results of a time-and-motion study of the production process in a shoe manufacturing company. An Ishikawa diagram and the 6M method were used to determine the cause of the company’s low productivity. Tasks were then standardized using an operations process diagram and right/left hand charts. Finally, the production times were determined using a stopwatch. With the use of these tools, it was determined that the work was not evenly distributed among the work areas. To solve this, tasks were reassigned to balance the workload. Finally, the results were captured on a check sheet. The study verified that the use of production management techniques increases productivity and efficiency and in the production processes. This study shows that there was a production increase of 5.49%.
Comment Target Extraction and Sentiment Classification

The research on sentiment analysis is a hot issue in natural language processing.This paper makes an intensive study of the two stages of sentiment analysis: the comment target extraction and the corresponding sentiment classification.For the first task,we use the syntactic analysis to obtain the candidats,and then combine PMI based on web mining and NN filtering algorithm to decide the targets.For the second task,we design certain heuristic rules by analyzing subjective sentences,and then apply these rules to predict the orientation of opinion in the sentences.This method performs well in Task Three of the COAE2008 i.
UJI SENSITIVITAS METODE WP, SAW DAN TOPSIS DALAM MENENTUKAN TITIK LOKASI REPEATER INTERNET WIRELESS

Keputusan menteri perhubungan No.2 Tahun 2005, tentang izin penggunaan frekuensi 2400 - 2483.5 MHz dan Permen No.27 Tahun 2009 Izin Kelas BWA 5.8 GHz, memberikan kesempatan bagi penyedia jasa jaringan internet (ISP) wireless untuk memberikan pelayanan di daerah perbukitan dan didaerah yang belum terjangkau internet.Wireless saat ini menjadi pilihan utama mengatasi hal tersebut, sampai saat ini masih banyak daerah-daerah yang belum terjangkau internet, dan ini merupakan kesempatan besar bagi penyedia jasa layanan internet untuk memberikan layanan berkualitas.Infrastruktur jaringan internet wireless terdiri dari pemancar dan penerima, memancarkan sinyal elektromagnetik dan diterima oleh wireless klien. Pengelola jasa layanan internet wirelessakan terbantu dengan sistem yang dapat mendukung mengambil keputusan. Metode yang digunakan adalah Weighted Product (WP), Simple Additive Weighting Method (SAW) dan TOPSIS (Technique For Order Preference By Similary To Ideal Solution) dalam menyelesaiakan masalah menentukan lokasi terbaik untuk repeater. Dalam proses penelitian ini hasil proses ke-3 metode akan dilakukan proses uji sensitivitas untuk mencari metode yang paling tepat terhadap masalah ini.Hasil analisa dari dua metode setelah melalui proses uji sensitivitas,ditemukan bahwa metode SAW adalah yang paling tepat dalam menyelesaiakan kasus ini.Penelitian ini bertujuan untuk membantu pengambilan keputusan berdasarkan nilai alternatif terbaik.
COMPETENCIES FOR FORM SIX GEOGRAPHY TEACHERS IN REACHING THE MALAYSIAN EDUCATION QUALITY STANDARDS

We conducted this study to evaluate the competencies of Form Six geography teachers in achieving the Malaysian Education Quality Standards. We applied a qualitative approach using the observation technique. The respondent observation consisted of three teachers who had more than 10 years of experience teaching Form Six geography and who were working in the areas of Batang Padang district, Perak and Hulu Selangor district, Malaysia. The variables we assessed were practical knowledge, subject-content knowledge, pedagogical content knowledge, pedagogical technology knowledge, teachers’ teaching of professional behaviours and attitudes, and values modified from the Quality Level Rubric of the Malaysian Education Quality Standards. The observation findings showed that each teacher scored different points, ranging from three to four for the assessed variables. Teachers’ pedagogical technology knowledge needs to be improved as two out of three teachers were still using Teaching Aid Materials such as mahjong paper and marker rather than using computer or other more recent technology due to the lack of infrastructure provided by their schools. In conclusion, Form Six geography teachers in this study have fulfilled the competence of the Malaysian Education Quality Standards by achieving the maximum score.
Handbook of Research on Scalable Computing Technologies 2-Volumes

The past decade has witnessed a fruitful proliferation of increasingly high performance scalable computing systems mainly due to the availability of enabling technologies in hardware, software, and networks. The Handbook of Research on Scalable Computing Technologies presents ideas, results, and experiences in significant advancements and future challenges of enabling technologies. A defining body of research on topics such as service-oriented computing, data-intensive computing, and cluster and grid computing, this Handbook of Research contains valuable findings for those involved with developing programming tools and environments in computing as well as those in related upper-level undergraduate and graduate courses.
Query Processing for Massively Parallel Systems

Query Processing for Massively Parallel Systems Paraschos Koutris Chair of the Supervisory Committee: Professor Dan Suciu Computer Science and Engineering The need to analyze and understand big data has changed the landscape of data management over the last years. To process the large amounts of data available to users in both industry and science, many modern data management systems leverage the power of massive parallelism. The challenge of scaling computation to thousands of processing units demands that we change our thinking on how we design such systems, and on how we analyze and design parallel algorithms. In this dissertation, I study the fundamental problem of query processing for modern massively parallel architectures. I propose a theoretical model, the MPC model (Massively Parallel Computation), to analyze the performance of parallel algorithms for query processing. In the MPC model, the data is initially evenly distributed among p servers. The computation proceeds in rounds: each round consists of some local computation followed by global exchange of data between the servers. The computational complexity of an algorithm is characterized by both the number of rounds necessary, and the maximum amount of data, or maximum load, that each processor receives. The challenge is to identify the optimal tradeoff between the number of rounds and maximum load for various computational tasks. As a first step towards understanding query processing in the MPC model, we study conjunctive queries (multiway joins) for a single round. We show that a particular type of distributed algorithm, the HyperCube algorithm, can optimally compute join queries when restricted to one communication round and data without skew. In most real-world applications, data has skew (for example a graph with nodes of large degree) that causes an uneven distribution of the load, and thus reduces the effectiveness of parallelism. We show that the HyperCube algorithm is more resilient to skew than traditional parallel query plans. To deal with any case of skew, we also design data-sensitive techniques that identify the outliers in the data and alleviate the effect of skew by further splitting the computation to more servers. In the case of multiple rounds, we present nearly optimal algorithms for conjunctive queries for the case of data without skew. A surprising consequence of our results is that they can be applied to analyze iterative computational tasks: we can prove that, in order to compute the connected components of a graph, any algorithm requires more than a constant number of communication rounds. Finally, we show a surprising connection of the MPC model with algorithms in the external memory model of computation.
Greater body appreciation moderates the association between maladaptive attentional biases and body dissatisfaction in undergraduate women

Attentional biases for weight-related information are thought to contribute to maintenance of body dissatisfaction and eating disorders. Women with greater body appreciation may pay less attention to thin-ideal cues if body appreciation protects them from negative effects of thin-ideal media, and if so, they may be less susceptible to development of maladaptive attentional biases. The present study used eye-gaze tracking to measure attention to weight-related words/images in 167 body-dissatisfied undergraduate women (aged 17–39 years) to examine the associations among body dissatisfaction, body appreciation, and attentional biases. Participants viewed displays of thin-related, fat-related, and neutral words/images while their eye fixations were tracked over 8-s intervals. We hypothesized body appreciation (as measured by the Body Appreciation Scale) would moderate the documented association between body dissatisfaction and attentional biases for thin-related information only, such that as body appreciation increased, the strength of the relationship between body dissatisfaction and attentional biases would decrease. Results indicated that body appreciation moderated the association between body dissatisfaction and attentional biases for thin-related words only. With low body appreciation, body dissatisfaction was positively associated with attention to thin-related words. With high body appreciation, there was an inverse association between body dissatisfaction and attention to thin-related words. Results suggest that body appreciation may be an effective prevention target for reducing maladaptive attentional biases.
You Are Not A Gadget A Manifesto

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An Integrated CAC and Routing Strategy for High-speed Large-scale Networks Using Cooperative Agents

The routing algorithms can be classified into source, distributed and hierarchical routing. Source routing algorithms are conceptually simple, but they suffer from scalability problem. Distributed routing algorithms are more scalable, but loops may occur, which make the routing to fail. Hierarchical routing has been used to cope with the scalability problems of source routing in large internetworks. The hierarchical routing retains many advantages of source routing. It also has some advantages of distributed routing because the routing computation is shared by many nodes. To cope with high-speed networks, the traffic control methods must be adaptive, flexible, and intelligent. Use of intelligent algorithms based on fuzzy logic, genetic algorithms and neural networks can prove to be efficient for traffic control in high-speed networks. In this paper, we propose an integrated CAC and routing strategy using cooperative agents. The proposed routing algorithm is a combination of source and distributed routing. It uses source routing inside a domain and hop-by-hop routing for inter-domain. The proposed strategy is able to avoid flooding and routing loops, reduce the search space, and can be easily scaled-up to cope with large-scale networks.
3D Shape Compression Using Holoimage

As 3D becomes more ubiquitous with the advent of 3D scanning and display technology, methods of compressing and transmitting 3D data need to be explored. One method of doing such is depth mapping, in which 3D depth data is compressed into a 2D image, and then 2D image processing techniques may be leveraged. This chapter presents a technique of depth mapping 3D scenes into 2D images, entitled Holoimage. In this technique, digital fringe projection, a special kind of structured light technique from optical metrology, is used to encode and decode 3D scenes pixel-by-pixel. Due to the pixel-by-pixel 3D data processing nature, this technique can be used on parallel hardware to realize real-time speed for high definition 3D video encoding and decoding.
HIKOS - Highly Secure, Intelligent Software Copy-Protection

Software piracy, which includes reproducing and distributing software products illegaly and without authorization, continues to cause financial losses to software vendors. Dongles for hardware protection have been present for a while now, but unfortunately, most of these solutions were only effective for a short period, until these methods were circumvented and time has showed that solutions that offer full protection from this phenomenon are impossible. In this project, we focus on a hardware copy protection scheme based on dongles and we take the current state-of-the-art in this area to a higher level. We provide a Highly Secure Software Copy Protection scheme and our contribution consists of the ability of the dongle to execute a selected part of the software inside the trusted environment in a dongle. This way, an attacker will never have the full software available on the host, which makes reverse-engineering of it more difficult. Additionaly, I provide a threat model and security analysis for this mechanism. Finally, I attach parts of some algorithms I created for the Code Preprocessing, Analysis and Extraction. HIKOS Highly Secure, Intelligent Software Copy-Protection