Miracle-dz/UniFAR-FTUs huggingface dataset:
Architectural Libraries Optimization of Digital

ARCHITECTURAL OPTIMIZATION OF DIGITAL LIBRARIES Aileen O. Biser Old Dominion University, 1998 Co-Chairs of Advisory Committee: Dr. Kurt Maly Dr. Stewart N. T. Shen This work investigates performance and scaling issues relevant to large scale distributed digital libraries. Presently, performance and scaling studies focus on specific implementations of production or prototype digital libraries. Although useful information is gained to aid these designers and other researchers with insights to performance and scaling issues, the broader issues relevant to very large scale distributed libraries are not addressed. Specifically, no current studies look at the extreme or worst case possibilities in digital library implementations. A survey of digital library research issues is presented. Scaling and performance issues are mentioned frequently in the digital library literature but are generally not the focus of much of the current research. In this thesis a model for a Generic Distributed Digital Library (GDDL) and nine cases of typical user activities are defined. This model is used to facilitate some basic analysis of scaling issues. Specifically, the calculation of Internet traffic generated for different configurations of the study parameters and an estimate of the future bandwidth needed for a large scale distributed digital library implementation. This analysis demonstrates the potential impact a future distributed digital library implementation would have on the Internet traffic load and raises questions concerning iv thearchitecturedecisionsbeingmadefor future distributeddigital library designsandthe Internetcapacitiesthat will benecessaryto support them. This analysissuggeststhat networkcapacitiesof 622 Mbps will be requiredto go muchbeyond 100 heavily used independentdigital library sites. Additionally, capacitiesbeyond 622 Mbps will be requiredto realizethe worldwide distributeddigital library consistingof a 1000or more digital library sites.Theseresultsalsopoint out the needfor architecturemodifications and software improvementsto reduceand minimize the amount of network traffic generatedaswemoveto a globaldigital library implementation.
Multiwavelength tests of the dusty torus model for Seyfert galaxies

We present a compilation of emission properties for a sample of 116 Seyfert galaxies based on both previously unpublished data and measurements available in the literature. These measurements include fluxes in the emission lines (O III) lambda(5007) and H-beta, as well as the infrared (25-60 microns), ultraviolet (1450 A), soft (0.2-4 keV), and hard (2-10 keV) X-ray continua. These are used to try to distinguish between isotropic and anisotropic emission properties of Seyfert galaxies. The distribution functions of (O III) lambda 5007 infrared, and hard X-ray continuum are similar for Seyfert 1's and Seyfert 2's, consistent with these properties being isotropic. The ultraviolet and soft X-ray continua of Seyfert 2's are underluminous relative to the type 1's suggesting photons at these energies escape from the central source anisotropically. There is a correlation between the ultraviolet continuum and emission-line fluxes in Seyfert 1's consistent with the idea that the central engine is responsible for powering the line emission. No such correlation is found for the Seyfert 2's. Instead, the scatter in the plot of ultraviolet continuum versus line emission suggests the true nuclear continuum luminosity is not seen at Earth in these objects. These properties are consistent with those expected in the dusty torus model.
Probability distortion in clinical judgment : field study and laboratory experiments

Cette these etudie la distorsion de probabilite dans le jugement clinique afin de comparer le jugement des medecins a des modeles statistiques. Nous supposons que les medecins forment leur jugement clinique en integrant une composante analytique et une composante intuitive. Dans ce cadre, les medecins peuvent souffrir de plusieurs biais dans la facon dont ils evaluent et integrent les deux composantes. Cette these rassemble les resultats obtenus sur le terrain et en laboratoire. A partir de donnees medicales, nous avons constate que les medecins n'etaient pas aussi bons que les modeles statistiques a integrer des evidences medicales. Ils surestimaient les petites probabilites que le patient soit malade et sous­-estimaient les probabilites elevees. Nous avons constate que leur jugement biaise pourrait entrainer un sur­-traitement. Comment ameliorer leur jugement? Premierement, nous avons envisage de remplacer le jugement du medecin par la probabilite de notre modele statistique. Pour ameliorer la decision, il etait necessaire d'elaborer un score statistique qui combine le modele analytique, la composante intuitive du medecin et sa deviation observee par rapport a la decision attendue. Deuxiemement, nous avons teste en laboratoire des facteurs qui peuvent influencer le traitement de l'information. Nous avons trouve que la capacite des participants a apprendre la valeur de la composante analytique, sans feedback externe, depend de la qualite de leur composante intuitive et de leur memoire de travail. Nous avons aussi trouve que la capacite des participants a integrer les deux composantes depend de leur memoire de travail, mais pas de leur evaluation de la composante intuitive.
The spatial and temporal variation in passenger service rate and its impact on train dwell time: A time-series clustering approach using dynamic time warping

ABSTRACT This study aims to improve the understanding of the underlying mechanism of passenger boarding and alighting processes, as well as its potential influence on train dwell time and train operation. Empirical data collected from one of busiest metro stations in Seoul, Korea, demonstrates the spatial and temporal variation in the passenger service rate, as a result of interference between boarding, alighting, and standing passengers. This study postulates that the level of interference can be associated with the train car occupancy and the proximity of train door to entry points, as waiting passengers tend to cluster near the platform entries. A unique temporal service rate curve is derived from each door location. We introduce Dynamic Time Warping for similarity assessment and clustering. It revealed four groups of train doors showing distinct shapes of curve from each platform. The first cluster includes the train doors located closest to the platform entry points where the initial service rate is drastically impeded by severe inference among passengers. The level of interference gradually diminishes as the door is located farther away from the entry points, but the overall service rate decreases as well. A passenger service time model is derived to include the cluster variable. To test its significance, the prediction capability of the model is presented with and without the cluster variable. The results of this study may be used to guide waiting passengers along the platform to minimize interference and to avoid serious disruption during passenger service time.
Object recognition in road and urban environments from massive datasets collected by mobile mapping sensors

During the last decade there has been a significant improvement in infrastructure surveying technologies and mobile mapping systems. It is now possible to acquire dense and tridimensional representations of a surveyed environment which capture geometric and radiometric data in the form of unorganized sets of 3D points called point clouds. The conversion of these unorganized data into meaningful information is not straightforward for the user, and requires the development of specific algorithms for solving specific problems. In that context, this thesis proposes a set of methodologies which are mainly aimed at assisting road network inventory and maintenance processes, automatizing them and increasing their objectivity by avoiding the unique application of maintenance operators' criteria. Specifically, the thesis focuses on two of the most important road network assets which are vertical traffic signs and road markings. In essence, the proposed methodologies have to be able to detect and classify these elements from data acquired by an aerial or terrestrial mobile mapping system, which mainly consist of 3D point clouds and 2D imagery. Several challenges have to be tackled such as data organization and storage, development of preprocessing frameworks, point cloud structure understanding and organization, generation of machine learning models, or output visualization and exportation. Ideally, all the meaningful information about road network assets which includes, for instance, geographic position, orientation or meaning of surveyed traffic signs, will update an inventory database and optimize the maintenance activities on the road. Every work in this thesis has been tested within carefully selected study cases, obtaining state-of-the-art results and therefore contributing to the knowledge in its respective scope. This thesis is structured as a compendium of seven scientific publications, all of them published in high impact, peer reviewed, international journals indexed on the Journal Citation Report (JCR).
Budget Plan to Manage Income and Expenses in College Students: Some Features that Explain It

The purpose of this study is to describe the actions taken by college students to face their future retirement. For this, the test designed by the National Commission for the Protection and Defense of Financial Services Users (CONDUSEF) in Mexico was used, which has items related to financial knowledge, specifically topics about savings, emergency funds and life insurance, among others. The instrument was applied to 60 UPAV college students of different levels, during the school cycle of February-August 2018, in the city of Xalapa, Veracruz; it should be noted that the range of age was older than 21 but younger than 23 years old. The descriptive analysis showed results that lead us to believe that students have emergency funds (53%) but these are used to face unexpected situations (59%); also, students do not have life insurance, which could be concerning in their personal and family life if/when they have to face a present or future illness. Regarding car insurance, most of the respondents stated that they do not own one, besides considering it an unnecessary expense. One of the study limitations was the surveyed population; hence the need to widen this research to encompass more students from such geographical area in order to obtain a wider outlook of said behavior.
Changing the Way That Math is Taught: Conceptual Versus Procedural Knowledge

The purpose of this article is to present teachers with information and data regarding the relationship that exists between procedural and conceptual knowledge while attempting to validate the notion that the development of conceptual knowledge should be at the forefront of student learning in the mathematics classroom. The article first delves into the definitions and overall significance that each of these modalities have in the mathematics classroom and after doing so, the article examines the theoretical ideologies that encompass them. The article concludes with a look into how the two knowledge bases are related, as well as empirical evidence regarding which is better for effective classroom instruction.
Adapting personal music based on game play

Music can positively affect game play and help players to understand underlying patterns in the game, or the effects of their actions on the characters [Smith et al. 2008]. Conversely, inappropriate music can have a negative effect on players [Cassidy and MacDonald 2007]. While game makers recognize the effects of music on game play, solutions that provide users with a choice in personal music have not been forthcoming. I designed and evaluated an algorithm for automatically adapting any music track from a personal library so that is plays at the same rate as the user plays the game. I accomplish this without access to the video game’s souce code, allowing deployment with any game and no modifications to the system.
Methods for Efficient Ontology Lexicalization for Non-Indo-European Languages: The Case of Japanese

In order to make the growing amount of conceptual knowledge available through ontologies and datasets accessible to humans, NLP applications need access to information on how this knowledge can be verbalized in natural language. One way to provide this kind of information are ontology lexicons, which apart from the actual verbalizations in a given target language can provide further, rich linguistic information about them. Compiling such lexicons manually is a very time-consuming task and requires expertise both in Semantic Web technologies and lexicon engineering, as well as a very good knowledge of the target language at hand. In this thesis we present two alternative approaches to generating ontology lexicons by means of crowdsourcing on the one hand and through the framework M-ATOLL on the other hand. So far, M-ATOLL has been used with a number of Indo-European languages that share a large set of common characteristics. Therefore, another focus of this work will be the generation of ontology lexicons specifically for Non-Indo-European languages. In order to explore these two topics, we use both approaches to generate Japanese ontology lexicons for the DBpedia ontology: First, we use CrowdFlower to generate a small Japanese ontology lexicon for ten exemplary ontology elements according to a two-stage workflow, the main underlying idea of which is to turn the task of generating lexicon entries into a translation task; the starting point of this translation task is a manually created English lexicon for DBpedia. Next, we adapt M-ATOLL's corpus-based approach to being used with Japanese, and use the adapted system to generate two lexicons for five example properties, respectively. Aspects of the DBpedia system that require modifications for being used with Japanese include the dependency patterns employed by M-ATOLL to extract candidate verbalizations from corpus data, and the templates used to generate the actual lexicon entries. Comparison of the lexicons generated by both approaches to manually created gold standards shows that both approaches are viable options for the generation of ontology lexicons also for Non-Indo-European languages.
Bridging the Gap between Resilient Networks-on-Chip and Real-Time Systems

Conventional fault-tolerance approaches for Networks-on-Chip (NoCs) cannot be applied to high dependability systems due to their different goals and constraints. These systems impose strict integrity, resilience and real-time requirements. In order to meet these requirements, all possible effects of random hardware errors must be taken into account, silent data corruption must be prevented and the resulting system must be predictable in the presence of errors. In this paper, we present a wormhole-switched NoC with virtual channels for high dependability systems hardened against soft errors. The NoC is developed based on results of a Failure Mode and Effects Analysis. It efficiently handles errors in different network layers and operates with formal guarantees. Our experimental evaluation, including an industrial avionics use case, shows that the network is able to achieve predictable behavior even in aggressive environments with very high error rates while presenting competitive overheads.
Crypto Mining Attacks in Information Systems: An Emerging Threat to Cyber Security

ABSTRACT The popularity of cryptocurrencies has continued to grow drastically over the past decade and this has drawn significant attention to various threat actors. Cybercriminals are now employing unconventional means to acquire cryptocurrencies at the expense of benign Internet users. This paper investigates the state-of-the-art crypto mining attacks by examining the malware code and the behavioral analysis upon execution. It examines the two most common attack approaches; web browser-based crypto mining which leverages JavaScript and installable binary crypto mining where the malware runs in memory. Furthermore, the paper investigates how cybercriminals endeavor to establish a persistence mechanism and avoid detection. The results from static and dynamic analysis uncover the techniques employed by the malware to exploit potential victims. Indicators of compromise are drawn from the uncovered artifacts which can be used as inputs to intrusion detection systems to help mitigate such cyber-attacks.
ANALYSIS OF CUTTING FORCES IN MICRO MILLING

In metal cutting, the prediction of cutting forces has been the focus of research for very long time. The reason for that is to decrease the cost of performing experimental work whenever the cutting of new material is needed. In recent years a new application for metal cutting was introduced due to the miniaturization of components and the invention of micro electro-mechanical system MEMS. This has led to the introduction of micro machining. Thus the analysis of the cutting system needed revisions. This is because of the domination of other factors during cutting process. Among these factors are the minimum chip thickness and the ploughing forces. In this work the modeling of orthogonal, oblique and milling cutting process in micro scale is presented. The results are verified using published experimental results.
Modelling and content production of distance learning concept for interactive digital television

The objective of the research has been to gain an understanding of T-learning and to create a model that suggests how to support the learning process via iTV and how to produce content for T-learning. The research includes four empirical studies and a survey. The conclusions of the studies provide the ground for the building of the theoretical and conceptual T-learning artefact. The research also aims to define the areas where T-learning is suitable for use. Content production is crucial in T-learning. TV as a medium has special requirements for content production of a T-learning service. In the current DTV environment, moreover, the content producer has to consider the following issues: limited screen, remote control of a STB as the only control device, navigation, scrolling is not allowed, and writing. According to the empirical studies, T-learning can be used in at least the following situations and cases: formal and informal learning, assessment, synchronous and asynchronous communication, multi-channel communication, and communal learning. In the empirical studies, target groups were; adults working as well as learning, children, and deaf.
StructuralComponents 5.0: Super element based tool for early design collaboration applied to mid-rise buildings

This paper presents the development of a feasibility analysis tool for the Architecture Engineering and Construction (AEC) industry called StructuralComponents 5.0. It is the fifth paper in a series of developments starting with Breider (2008), which discussed modelling and analysing 2D tall buildings with an emphasis on quick generation and simple evaluation of designs. This paper expands the concept of bridging the gap between architectural modelling and structural engineering analysis tools used in the conceptual design process, by focusing on mid-rise buildings with three main characteristics. First, it implements a flexible modelling process to support architectural creativity during the conceptual design phase. The conceptual model is composed of building blocks that can be combined and parametrically adjusted to form a whole structure. Second, it helps the users understand the structural behaviour by visualising the force flow in near real-time. Instead of the conventional finite element method, the behaviour results of individual and combined building blocks (super elements) is computed using a symbolic differential equation method. Third, it includes feasibility checks and visualises them for both disciplines to improve understanding and encourage collaboration during the decision making process.
Effect of Feeding the Experimental Rats with Domiati Cheese on their Histopathological Alterations.

The aim of this work was to study the effect of feeding the experimental rats with Domiati cheese during storage on their histopathological alterations. To achieve this purpose, forty-two healthy rats were divided into three groups each of 12 rats. Each group fed daily one of the following diets for 120 days. Control rats fed on basal diet and water without any additives. Group (1) fed on control diet + 30% domiati cheese stored at room temperature, group (2) on control diet + 30% Domiati cheese stored in the refrigerator.At the end of the experiment; rats were sacrificed to obtain the livers, kidneys and examined for the histological examination. The microscopic examination of rats fed on Domiati cheese stored at room temperature and in the refrigerator showed histological changes in liver, kidney and testes tissues, compared to the control. These histological changes might be attributed to the high concentration of biogenic amines in the studied domiati cheese.
Digital literacy of language learners in two different contexts

This article discusses the concept of digital literacy and presents a digital literacy questionnaire containing questions related to the use of digital technologies and the level of digital literacy skills. It also reports the results of two studies that used the digital literacy questionnaire to investigate the digital literacy level of 100 English for academic purposes (EAP) students at a university in Australia and 70 English as a foreign language (EFL) students at a university in Japan and examine factors affecting their use of digital technologies for learning English. The findings of the studies provide some insights into the students' awareness and use of digital technologies and their views of the use of digital tools and resources for language learning. Each group showed a different level of expectations and needs in their digital literacy skills with a different background and experience. It is suggested that the expectations and needs of respondents to the digital literacy questionnaire should be taken into account when the results of the digital literacy questionnaire are presented and interpreted in different contexts.
Rearing Pattern of Bannur Sheep in its Home Tract

Livestock sector plays a crucial role in sustainable contribution to rural development in the state. It is closely integrated with the existing farming system on mutually exclusive basis and interdependence with each other for augmenting food and nutritional security of farm households and socio-economic status in the society by utilizing all available agriculture waste, byproducts and common property resources. It is the best insurance against the vagaries of nature due to drought, famine and other natural calamities. Livestock contributes by way of milk and meat production. It enhances soil fertility and crop production through their manure and urine. It also provides additional economic goods like skin, hides wool etc., for trade and commerce activities. Besides, they render services in the form of animal power in croplands, carrying of agriculture goods and transportation of people. In addition, they provide year round gainful employment and dispersed risks evenly and greatly thus minimize the suicidal attitude of the farmers. Sale of livestock products provides timely revenue. Hence sheep and goats are treated as International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 06 (2019) Journal homepage: http://www.ijcmas. com