Miracle-dz/UniFAR-FTUs huggingface dataset:
Academic Performance Profiles In Algorithms and Data Structures of UTN

Academic performance is a critical factor considering that poor academic performance is often associated with a high attrition rate. This has been observed in subjects of Algorithms and Data Structures of Information Systems Engineering career (ISI) of the National Technological University, Resistencia Regional Faculty (UTNFRRe), situated in Resistencia city, province of Chaco, Argentine, where the poor academic performance is observed at very high rates (between 60% and about 80% in recent years). In this paper, we propose the use of data mining techniques on performance information for students of the subject mentioned, in order to characterize the profiles of successful students (good academic performance) and those that are not (poor performance). This article describes the data models and data mining used and the main results are also commented.
Contributions to research on machine translation

In the past few decades machine translation research has made major progress. A researcher now has access to many systems, both commercial and research, of varying levels of performance. In this thesis, we describe different methods that leverage these pre-existing systems as tools for research in machine translation and related fields. We first examine techniques for improving a translation system using additional text. The first method uses a monolingual corpus. Discrepancies are identified by translating a word list to a foreign language and back again. Entries where the original word and its double translation differ are used to learn word-level correction rules. The second method uses parallel bilingual data consisting of source language/target language sentence pairs. The source sentences are translated using a translation system, and a partial alignment is identified between the machine-translated sentences and the corresponding human-translated sentences in the target language. This alignment is used to generate phrase-level correction rules. Experimentally, both word-level and phrase-level correction rules result in improved translation performance. The learned word-level correction rules make 24,235 corrections on 20,000 Spanish to English translated sentences, with high accuracy. The learned phrase-level rules improve the translation performance (as measured by BLEU) of a French to English commercial system by 30%, and of a state of the art phrase-based system in a statistically significantly way. To train current statistical machine translation systems, bilingual examples of parallel sentences are used. Generating this data is costly, and currently feasible only in limited domains and languages. A fundamental question is whether every potential example is equally useful. We describe a ranking method for examples that scores individual sentence pairs based on the performance of translation systems trained on random subsets of the examples. When used to train a translation system, the top ranking examples result in a significantly better performing system than random selection of examples. Given these ranked examples, a model of example usefulness can potentially be learned to select the most useful unlabeled examples. Initial experiments show two previously used example features are good candidates for identifying useful examples. In the last part of this thesis we describe how automatic paraphrasing methods can be used to improve the accuracy of evaluation measures for machine translation. Given a human-generated reference sentence and a machine-generated translated sentence, we present a method that finds a paraphrase of the reference sentence that is closer in wording to the machine output than the original reference is. We show that using paraphrased reference sentences for evaluating a translation system output results in better correlation with human judgement of translation adequacy than using the original reference sentences.
The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University

— Technology acceptance model (TAM) has been a standout amongst the most well-known models in understanding the users’ acceptance of technologies. This study develops a model to predict the factors that influence the use of learning management systems (LMS) among higher educational students in Saudi Arabia by applying the TAM model and two psychological determinants: computer self-efficacy and subjective norms. The Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was employed to examine the proposed model. The findings confirm the TAM model within the context of Saudi Arabia. Further, the students’ perceived ease of use is positively influenced by computer self-efficacy, while the students’ perceived usefulness is positively affected by subjective norm. As scholars have overlooked using TAM to assess LMS in the context of Saudi Arabia, the study may give a guide to future work to adopt additional factors that impact the students' utilization of LMS.
Innovation and Virtual Environments: Towards Virtual Knowledge Brokers

We examine the implications of virtual customer environments for supporting the innovation process. By building on the literature of knowledge brokers, we introduce the concept of virtual knowledge brokers—actors who leverage the internet to support third parties’ innovation activities. These actors enable firms to extend their reach in engaging with customers and they also allow firms to have a richer dialogue with customers because of their perceived neutrality. Consequently, virtual knowledge brokers help firms to complement the knowledge they can acquire through traditional physical and virtual channels for customer interaction. We highlight the capabilities and contributions of virtual knowledge brokers, and we discuss the implications of these entities for theory and practice in the management of innovation.
Using Statistical Information for Efficient Design and Evaluation of Hybrid XML Storage

Modern relational database management systems provide hybrid XML storage, combining relational and native technologies. Hybrid storage offers many design alternatives for XML data. In this paper we explore how to aid the user in effective design of hybrid storage. In particular we investigate how the XML schema and statistical information about the data can support the storage design process. In our previous work, we presented our tool HShreX that uses statistical information about a data set to enable fast evaluation of alternative hybrid design solutions. In this paper, we extend this work by presenting more details about the tool and results of an extended evaluation. In particular, this paper gives a detailed presentation on how the tool aids in the storage design and evaluation process.
Face recognition by elastic bunch graph matching

Dewasa ini, telah banyak dilakukan berbagai cara untuk dapat mengenali suatu objek melalui sebuah foto. Banyak para peneliti telah melakukan berbagai-bagai eksperimen untuk dapat memecahkan masalah ini, dan salah satunya yaitu pengenalan wajah seseorang dari sebuah input image melalui berbagai transformasi dan ekspresi yang ada. Pada skripsi kali ini, dilakukan penelitian tersebut dengan menggunakan salah satu metode pengenalan wajah, yaitu Elastic Bunch Graph Matching. Pertama, metode ini menggunakan suatu sistem pengenalan dengan Gabor Wavelet transform. Adanya penentuan face facial features diharapkan dapat menjadi identitas antara seseorang dengan yang lain, seperti mata, mulut, alis, hidung, dan lain sebagainya. Kemudian dilakukan proses Gabor Kernel Convolution untuk mendapatkan nilai jet guna membangun face graph yang akan membentuk Face Bunch Graph, dimana berfungsi untuk face graph extraction secara otomatis dari probe image nantinya. Graph inilah yang akan dicari tingkat similaritasnya dengan berbagai face graph yang ada di database. Aplikasi berorientasi obyek ini dikembangkan dengan menggunakan bahasa pemrograman Java dengan kompiler NetBeans IDE 7.0M1. Berdasarkan dari hasil pengujian yang dilakukan, hasil tingkat akurasi dari face recognition sangat bergantung terhadap banyak faktor. Juga dapat disimpulkan secara garis besar bahwa database yang cukup baik untuk pengenalan wajah menggunakan ukuran Gabor Kernel 45 x 45 pixel, complex face graph, dan menggunakan sistem ranking dengan Type Two Ranking. Untuk hasil tingkat akurasi pengujian, didapat 88% kebenaran tingkat identifikasi terhadap YALE database sebagai hasil pembandingan dengan metode-metode yang terdahulu.
N on-ergodic laser cooling

Atoms can now be laser cooled, in one, two and three dimensions, below the Iimit corresponding to the recoil energy of an atom absorbing or emitting a single photon. Recent works have shown that aU subrecoil cooling schemes are based on an anomalous random walk of the atom in momentum space which does not obey the centrallimit theorem and which introduces a fundamental non-ergodicity in the cooling process. Lévy statistics turn out to be very useful for analysing such a situation, since they provide quantitative results for the long time Iimit of the momentum distribution. ln this paper, we briefly review these theoretical works and we give a few references where more details can be found. We also mention a few recent experiments which have been stimulated by these theoretical developments.
THE ACQUISITION OF / p / AND / k / WORD-MID CODAS OF ENGLISH ( L 2 ) BY LEARNERS FROM SOUTHERN BRAZIL ( L 1 ) : A GESTURAL ANALYSIS IN STOCHASTIC OPTIMALITY

In this article, we formalize the acquisition of word-mid /pt/ and /kt/ sequences in English (L2) by learners from Southern Brazil. The participants, who presented a basic proficiency level in English, had their productions recorded both in English and in Brazilian Portuguese, which allowed for an analysis of the acoustic patterns found in the production of /p/ and /k/ obstruent codas. The acoustic patterns produced by the learners were analyzed using the Stochastic-Optimality Theory, and the constraints used in the analysis were based on the framework of Gestural Phonology (BROWMAN & GOLDSTEIN, 1992) and in the gestural landmarks proposed by Gafos (2002). We conclude that a gestural analysis allows for the formalization of a wider range of acoustic patterns which tended not to be considered in traditional accounts of phonology, as these patterns assume a different status since they are then considered to be part of the grammar.
Trends in sulfate and organic aerosol mass in the Southeast U.S.: Impact on aerosol optical depth and radiative forcing

Emissions of SO2 in the United States have declined since the early 1990s, resulting in a decrease in aerosol sulfate mass in the Southeastern U.S. of −4.5(±0.9)% yr−1 between 1992 and 2013. Organic aerosol mass, the other major aerosol component in the Southeastern U.S., has decreased more slowly despite concurrent emission reductions in anthropogenic precursors. Summertime measurements in rural Alabama quantify the change in aerosol light extinction as a function of aerosol composition and relative humidity. Application of this relationship to composition data from 2001 to 2013 shows that a −1.1(±0.7)% yr−1 decrease in extinction can be attributed to decreasing aerosol water mass caused by the change in aerosol sulfate/organic ratio. Calculated reductions in extinction agree with regional trends in ground‐based and satellite‐derived aerosol optical depth. The diurnally averaged summertime surface radiative effect has changed by 8.0 W m−2, with 19% attributed to the decrease in aerosol water.
Two Fixations Suffice in Face

ABSTRACT— It is well known that there exist preferredlanding positions for eye ﬁxations in visual word recogni-tion.However,theexistenceofpreferredlandingpositionsin face recognition is less well established. It is also un-known how many ﬁxations are required to recognize aface. To investigate these questions, we recorded eyemovements during face recognition. During an otherwisestandard face-recognition task, subjects were allowed avariable number of ﬁxations before the stimulus wasmasked. Wefoundthatoptimalrecognitionperformanceisachievedwithtwoﬁxations;performancedoesnotimprovewith additional ﬁxations. The distribution of the ﬁrst ﬁx-ationis justtothe left of the center of the nose, andthat ofthe second ﬁxation is around the center of the nose. Thus,these appear to be the preferred landing positions for facerecognition. Furthermore, the ﬁxations made during facelearning differ in location from those made during facerecognition and are also more variable in duration; thissuggeststhatdifferentstrategiesareusedforfacelearningand face recognition.Research on reading has consistently demonstrated the exis-tence of preferred landing positions (PLPs; Rayner, 1979) insentence reading and of optimal viewing positions (OVPs;O’Regan,Le´vy-Schoen,Pynte,B OVPs are the locationswhere the initial ﬁxation is directed when the best recognitionperformanceforisolatedwordsisobtained.ForEnglishreaders,both PLPs and OVPs have been shown to be to the left of theword’scenter(BrysbaertN nevertheless, eye movements might be un-necessary because faces are processed holistically (e.g., Farah,Wilson,Drain,T when there was a restriction, the face was replaced by amask after the maximum number was reached. Thus, we wereabletoexaminetheinﬂuenceofthenumberofﬁxationsonface-recognition performance when participants made natural eyemovements. Also, whereas Henderson et al. analyzed the totalﬁxation time in each of several face regions and the number oftrials in which each region received at least one ﬁxation, weanalyzed the exact locations and durations of the ﬁxations. Previousstudieshaveshownthatparticipantslookmostoftenat the eyes, nose, and mouth during face recognition (e.g.,
Construction of Integration Vectors for Secreted Expression of Bacterial Phytase in Yarrowia Lipolytica

Yeast Yarrowia lipolytica is a handy tool for efficient production of heterologous proteins. In this work we report the construction of integration vectors for secretion of bacterial phytase by these yeasts. Pantoea sp. 3.5. 1 histidine acid phytase encoding gene sequence was codon-optimized and chemically synthetized. Optimized and native phytase gene sequences were cloned into integrative vector pINA1296, containing signal sequence of XPR2 gene. Vectors were multiplied in E.coli DH5α, isolated and linearized for successful integration into Y.lipolytica genome by homologeous recombination in pBR-region. Y.lipolytica strains with integrated bacterial native and optimized phytase genes were obtained.
Optimizing Network Performance with Content Switching: Server, Firewall and Cache Load Balancing

From the Publisher: Enrich the user experience while keeping control of your network Networking professionals: At last, comprehensive coverage of content switching technology is in your hands! Optimizing Network Performance with Content Switching: Server, Firewall, and Cache Load Balancing, by topic experts Matthew Syme and Philip Goldie, provides sharp insights into this wide-ranging, rapidly changing technology. You'll learn the concepts, the background, and the architectures of content switching, as well as how it works and where and why it should be deployed to maximize the performance of your networks and servers. Fueled by increasing bandwidth and ever-richer content, this technology is fast becoming a standard in enterprise and ISP networks. Inside you'll find: Full explanations of TCP/IP, HTTP, DNS, and other network fundamentals Vendor-independent coverage of the key content switching applications--server load balancing, Web cache redirection, application redirection, firewall load balancing, and more! Detailed diagrams that illustrate clearly the deployments and topologies for all applications and variations covered in the book A running fictional case study that translates theory into practice, with all applications demonstrated in example implementations Advanced topics including TCP/IP flows and sessions, delayed binding, URL parsing, cookie persistence, server health checking, and load balancing metrics The advanced topics in Optimizing Network Performance with Content Switching are tailored for engineers with layer 2 and layer 3 experience looking for a comprehensive explanation of the inner workings of cswitching. This book is also ideal for managers, application developers, security administrators, sales people, and other professionals who require a firm understanding of the basics of the technology.
Hydrophone Preamplifier Optimization. Prediction of Hydrophone Self- Noise by a Noise Model

Abstract : This report presents analysis of the self-noise which determines the threshold pressure level in hydrophone designs. The noise present in the acoustic sensor, coupling network, and preamplifier input stage are represented by an equivalent circuit noise model. A model provides an effective method to predict in advance of sensor-preamplifier construction the noise levels expected for a specific design.
A Surrealist Inspired Mobile Multiplayer Game: Fact or Fish?

With mobile phone ownership now saturated in many countries, mobile operators are looking to data services to increase their average revenue per user and one service seen as a key to their success is that of mobile games. Single player games, which currently dominate the market, do little to increase data traffic once downloaded. Therefore, focus is increasingly turning to multiplayer games that use the network. However, to date, game designers have struggled to create successful mobile multiplayer games because their current designs are based on the experiences gained from the PC and console world and often fail to accommodate both the difficulties of the mobile environment and the differing demographic of the mobile gamer. In this paper we explore game design that will address both of these criteria and take our inspiration from a technique used by Surrealists to create accidental poetry in the 1920s.
Cardinality Estimation in Shared-Nothing Parallel Data Flows

Shared nothing parallel dataflow systems aim to bridge the gap between MapReduce and RDBMSs by combining parallel execution of second order functions with operator based optimizations. In parallel systems, job latency is strongly affected by data shuffling and unbalanced data across nodes, thus the degree of parallelism and the data partitioning functions must be carefully considered when choosing optimization strategies. However, it is hard to make good optimization choices without any information about the distribution of the data. We attempt to overcome this challenge in shared nothing parallel dataflows by tracking statistics of data sets during query runtime. We use data streaming algorithms to track statistics so as to affect job latency as little as possible. We discuss how collected statistics can potentially be used to improve execution plans during runtime.
Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading

This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a strengthening option. The slabs were simply supported on two sides. Non-confined PBX (Plastic bonded explosive) was molded with the form of a cylinder measuring 20 cm in height and 10,5 cm in diameter. The explosive was detonated at 2 m stand-off distance. The equivalent TNT mass of the explosive ranges from 2,58 to 2,72 kg for the four tests. Accelerometers, displacement and pressure gages were used to measure blast wave parameters and global response of the slabs. A high-speed digital camera in conjunction with a rugged notebook recorded images. Qualitative and quantitative results are included. Slabs retrofitted with foam showed a different pressure pattern as recorded by the sensors and resulted in higher displacement, acceleration and linear momentum.
Medical Community of Inquiry: A Diagnostic Tool for Learning, Assessment, and Research.

Editors: Noa Aharony, Bar-Ilan University (Israel) Nicole A. Buzzetto-More, University of Maryland Eastern Shore, Maryland (USA) Keith Harman, Oakland Baptist University (United States) Fred Kohun, Robert Morris University, Pennsylvania (USA) Yehuda Peled, The Western Galilee College (Israel) Holly Sawyer, Temple University (USA) Erik Shefsky, Walden University (USA) Ewa Ziemba, University of Economics in Katowice (Poland)
Structure of staminate flowers, microsporogenesis, and microgametogenesis in Helosis cayennensis var. cayennensis (Balanophoraceae)

We analyzed the microgametogenesis and microsporogenesis of the male flowers of the holoparasitic Helosis cayennensis (Sw.) Spreng. var. cayennensis using optical and scanning electron microscopy. The unisexual flowers are embedded in a dense mass of uniseriate trichomes (filariae). Male flowers have a tubular 3-lobed perianth, with bilayered and non vascularized tepals. The androecium consists of three stamens with filaments and thecae connated into a synandrium. It has adnate a free central pistillode without megagametophyte. Staminal filaments, fused at their base to the perianth tube and distally free along a short section, have a single vascular bundle. The distal portion of the synandrium is formed by nine pollen sacs: six outer sacs are located laterally to each filament and three longer inner sacs. The anther wall consists of the epidermis, two parietal layers (that collapse at anther maturity), and an uninucleate secretory tapetum. There is no endothecium. During microsporogenesis, the stem cells produce tetrads of microspores by meiosis. The cytokinesis is simultaneous, forming tetrahedrally arranged tetrads. When pollen grains are in the tricellular state, the synandrium emerges from the mass of filariae, and anthers dehiscence occurs apically through longitudinal slits. In conclusion, despite the extreme reduction of flowers, the anatomic characteristics and gametophyte development of staminate flowers of H. cayennensis are perfectly normal and functional. They are thus highly similar to other genera of the holoparasitic subfamily Helosidoideae. Sterile parts of flowers and inflorescence maintain the same distinctive and aberrant features of the plant vegetative parts.
Infrastructure, Openness, and Regional Inequality In India

This paper aims to quantify the driving forces behind the observed divergence of Indian economy. The results show that in a closed economy with agriculture as the predominant mode of production, the comparative advantage is mainly determined by the difference in land quality and climate across regions within a country. However, when the economy opens its door to the rest of the world, a region's comparative advantage is evaluated in a broader global context. Therefore, regions adjacent to more developed economies, or with better infrastructure such as ports and airports, enjoy a far better location advantage for trade and development than landlocked regions. More investment in physical infrastructure such as roads will bring the interior regions closer to the world markets and reduce regional disparity. Among all the factors considered, education is the only equalizing factor to regional development.
GlusterFS One Storage Server to Rule Them All

GlusterFS is a Linux based distributed file system, designed to be highly scalable and serve many clients. Some reasons to use GlusterFS are: No centralized metadata server, Scalability, Open Source, Dynamic and live service modifications, Can be used over Infiniband or Ethernet, Can be tuned for speed and/or resilience and Flexible administration. It's useful for enterprise environments - virtualization; high performance computing (HPC) and it works with Mac, Linux and Windows clients. Conclusions are: (1) GlusterFS proved to have widespread capabilities as a virtual file system; (2) Scalability is very dependent upon the underlying hardware; (3) Lack of built-in encryption and security paradigm; and (4) Best suited in a general purpose computing environment.