Miracle-dz/UniFAR-FTUs huggingface dataset:
Estrategias de contenido con famosos en marcas dirigidas a público adolescente

The era of changing communication we live has forced brands to redefine their communication and advertising strategies, especially when it comes to have a presence on digital platforms. This article focuses on branded content and influence marketing, performing an exploratory study based on content analysis. The aim is to identify formats comprising the TransMedia storytelling brand universe, as well as analyse the contribution made by celebrities to the brand communication, derived both by his presence in the contents as well as for the dissemination of messages through its own spaces on social networking. The conclusions reveal different brand strategies distinguishable by the proliferation of content - not always generated only by the brand - and the predominance of some media over others.
Compiler for an Embedded Extension Language on Android

Bytecode interpreters are a common implementation strategy for scripting languages. Source code is translated to bytecode to improve time and memory performance. The Android platform includes the Dalvik virtual machine, which typically executes bytecode compiled from Java source code. This thesis describes how this virtual machine can be reused to execute bytecode compiled from a scripting language. A compiler is written for a test bed scripting language and the time and memory performance is evaluated.The Dalvik virtual machine, designed for a statically typed object-oriented language, was flexible enough to successfully host a dynamically typed scripting language that allows for objects to be transported cheaply between scripts and Java code. The compiled code executes one to two orders of magnitude faster than with a naive interpreting implemetation. Numeric performance is lacking in general, though simpler cases are optimized.
The Outbreak of Red Tides in the Coastal Waters off Kohung, Chonnam, Korea: 1. Physical and Chemical Characteristics in 1997

Physical characteristics and nutrient distributions in seawater were investigated to understand the mechanism of red tide outbreak in coastal waters off Kohung area. To identify any physical and chemical differences before, during and after the red tide outbreaks, 6 times of field observations have been carried out from May to October, 1997. We found that major environmental properties of the seawater in the study area were determined not by the local meteoric conditions or nearby-land influences, but by the intrusion of seawater from offshore. In particular, extreme environmental variations in seawater were found during the period of red tide outbreak from August to September. Before the red tide outbreak, high concentrations of DIN(Dissolved Inorganic Nitrogen)were found in seawater, but they decreased during the outbreak. Whereas no significant variations of DIP(Dissolved Inorganic Phosphate) were found. For the water mass in the semienclosed northern part of the study area, local nutrient sources originated from nearby-lands were estimated to cover 70% of total DIN input, but the rest part of the water mass in the study area, sporadic intrusion of offshore water mass could account for the major source of DIN supply. An offshore water mass influenced by Yangtze river effluent was suggested as one of the candidates with its high nitrate contents, high seawater temperature and low salinity. A red tide related phytoplankton, Gyrodinium impudicum, was found in seawater on the 21th day of August and, on the same day, a unique water mass with high temperature and extremely low salinity suddenly appeared in the study area. On the 22th day of September, after one and half month duration of red tide we found that red tide had disappeared simultaneously with the intrusion of new water mass with different characteristics.
Audio interface as a device for physical computing

In this paper, we would like to describe the employment of audio interface as a device for physical computing. We compare the audio interface with other devices and describe its characteristics. We also present examples of the employment with three different art works, Monalisa "shadow of the sound", The SINE WAVE ORCHESTRA stay amplified, and AEO. We explain the implementation of each work with different physical components. Finally, we discuss some of the potential of the employment of audio interface for future implementation.
The Effect of Memory Requirement on Schema Learning

A number of previous investigations have suggested that schema learning would be more readily facilitated by a recognition task than a reproduction task due to the increased memory requirement of the reproduction task. Differential memory requirements of 0, 4, 8, 16 and 32 seconds were imposed on 50 Ss in a recognition task to determine if increased memory requirements improved schema learning in the same mode as the reproduction task. The results indicated no significant improvement in schema learning with increased memory requirement. The data does suggest negative transfer from reproduction to recognition task. Recommendations for design and procedural improvements are included.
Flow and attitude toward the website on the evaluation of products present by means of virtual reality: a conceptual model

The website represents the future of a company’s business communications on the Internet, since it allows supplying large amount of information as well as creating virtual experiences with the product. In this context, virtual reality constitutes a technology which provides users with realistic and interactive virtual environments. In this paper, based on five groups of models, we analyze the effect of virtual reality presentations, by means of interactivity and richness, on flow and attitude toward the website, and the subsequent effect of those variables on online product evaluation
Neurons : a mathematical ignition

This unique volume presents a fruitful and beautiful mathematical world hidden in Caianiello's neuronic equations, which describe the instantaneous behavior of a model of a brain or thinking machine. The detailed analysis from a viewpoint of "dynamical systems", even in a single neuron case, enables us to obtain amazingly good rational approximations to the Hecke-Mahler series with two variables. Some interesting numerical applications of our rational approximations are also discussed.This book is fundamentally self-contained and many topics required in it are explained from the beginning. Each chapter contains a number of instructive and mostly original exercises at various levels.
Network Analysis of the Molecular Layer Interneurons in the Cerebellum

The cerebellum is important for the control of movements, speech as well as mental activities. In the molecular layer of the cerebellum there exist interneurons which role in the cerebellar neural network is not yet fully understood. In this thesis, these interneurons are simulated by mathematical models in order to investigate their connectivity attern. Further, the input/output behavior of a delimited part of their neural circuit, with and without a biologically elevant feedback loop, is investigated. The interneurons are simulated by the Leaky integrate and Fire model in combination with the Escape Rate model in Spanne’s Simulation Environment. Connectivity patterns that recreate the behavior of the molecular layer interneurons in vivo are found, motivated by the comparison tools used in this thesis. In these connectivity patterns, five groups of interneurons are connected to each other as one creates the shape of a star. The delimited network with these connectivity patterns are suggestively non-linear. They delay and flip their input in order to create their output, with some affect on the shape of the signal. Most probably, the function of the feedback loop is to control the strength and length in time of the output of the cerebellum.
Open Source Software Tools for Anomaly Detection Analysis

Abstract : The goal of this report is to perform an analysis of software tools that could be employed to perform basic research and development of Anomaly-Based Intrusion Detection Systems. The software tools reviewed include; Environment for Developing KDD-Applications Supported by Index-Structures (ELKI), RapidMiner, SHOGUN (toolbox) Waikato Environment for Knowledge Analysis (Weka) (machine learning), and Scikit-learn. From the analysis, it is recommended to employ the SHOGUN (toolbox) or Scikit-learn as both tools are written in C++ and offers an interface for Python. The python language software is currently employed as a research tool within our in-house team of researchers.
Improving the cost model development process using neural networks.

In order to achieve success in export markets through provision of high levels of product choice, manufacturing industry will need to develop and economically use many new materials and manqfýcturing processes. To support this development, it is expected that the quantity, type, accuracy and complexity of cost models will need to be greatly increased. It is essential under these changing conditions that the process of developing cost models is able to remain responsive to user requirements and effective in terms of the resources required to generate models. This research investigates existing methods of establishing 'cost estimating relationships'and identifies their relative benefits and limitations in terms of their effects on the overall cost model development process. The basic tasks involved in the cost model development process and the basic characteristics of cost models have been identified and used to evaluate the use of Artificial Neural Networks (ANNs) as alternative methods of establishing cost models. The problem of identifying suitable ANN structures has been resolved by the use of the Taguchi Methodology. Experiments to identify the influence of varying the number of layers and number ofprocessing elements per layer within an ANN structure have shown that in general, increasing the number of processing elements per layer and decreasing the number of layers leads to increased estimating accuracy. Experiments to examine the effects of varying the amount of data used to develop the model and varying the number of variables within the model have indicated that substantial benefits, in terms of simplifying data identification and collection tasks can be realised when compared with regression analysis.
MapReduce in the Cloud： Data-Location-Aware VM Scheduling

We have witnessed the fast-growing deployment of Hadoop,an open-source implementation of the MapReduce programming model,for purpose of data-intensive computing in the cloud.However,Hadoop was not originally designed to run transient jobs in which us ers need to move data back and forth between storage and computing facilities.As a result,Hadoop is inefficient and wastes resources when operating in the cloud.This paper discusses the inefficiency of MapReduce in the cloud.We study the causes of this inefficiency and propose a solution.Inefficiency mainly occurs during data movement.Transferring large data to computing nodes is very time-con suming and also violates the rationale of Hadoop,which is to move computation to the data.To address this issue,we developed a dis tributed cache system and virtual machine scheduler.We show that our prototype can improve performance significantly when run ning different applications.
Low-Power NoC for High-Performance SoC Design

Chip Design and Implementation from a Practical Viewpoint Focusing on chip implementation, Low-Power NoC for High-Performance SoC Design provides practical knowledge and real examples of how to use network on chip (NoC) in the design of system on chip (SoC). It discusses many architectural and theoretical studies on NoCs, including design methodology, topology exploration, quality-of-service guarantee, low-power design, and implementation trials. The Steps to Implement NoC The book covers the full spectrum of the subject, from theory to actual chip design using NoC. Employing the Unified Modeling Language (UML) throughout, it presents complicated concepts, such as models of computation and communicationcomputation partitioning, in a manner accessible to laypeople. The authors provide guidelines on how to simplify complex networking theory to design a working chip. In addition, they explore the novel NoC techniques and implementations of the Basic On-Chip Network (BONE) project. Examples of real-time decisions, circuit-level design, systems, and chips give the material a real-world context. Low-Power NoC and Its Application to SoC Design Emphasizing the application of NoC to SoC design, this book shows how to build the complicated interconnections on SoC while keeping a low power consumption.
Captura e Visionamento de Vídeo 3D

This document presents the main findings of a research project proposed by MOG Technologies. Its main goal is to develop a software solution that allows the storing in file of 3D audiovisual signal (with two visual channels) that is being captured by a camera. Moreover, a way is devised to view the video, which is being captured in real time, allowing the perception of depth by the observer. This document also presents techniques for producing video anaglyphs because they have the characteristic to cause the illusion of depth that is desired. This research is designed to improve the future production of television programs in 3D. One of the problems the industry faces is the scarcity of solutions for storing 3D video in file. It should be possible that content, already saved, could be modified by video editing software. This feature is vital to the success of the project as it ensures the interconnection of the various stages associated with the production of TV programs. In a final stage of the document it is exposed a process for integrating the techniques developed with existing operating software, already available for the traditional TV market. The innovative aspect of the final integrated product would be the possibility for producers to also produce 3D television shows with no additional costs.
Microsystème électrostatique tridimensionnel de récupération d'énergie pour alimenter un stimulateur cardiaque sans sonde

Cette these s’inscrit dans un contexte d’activite en forte croissance dans le domaine des implants medicaux, stimulee par de nombreux progres dans le domaine des micro-capteurs et de la micro-electronique. L’autonomie en energie des implants demeure cependant un facteur limitant. Notre travail a pour objectif de repousser les limites actuelles en termes de miniaturisation et de duree de vie. Il contribue au developpement d’une solution basee sur la recuperation d’energie mecanique du cœur pour alimenter durablement un pacemaker miniaturise sans sonde de nouvelle generation, dit « pacemaker leadless ». Le microsysteme de recuperation d’energie etudie est compose d’un resonateur mecanique de type masse-ressort associe a un transducteur electrostatique. Il a pour particularite une architecture tridimensionnelle, dont la forme permet de profiter au maximum de l’espace disponible dans la capsule cylindrique du pacemaker. L'utilisation de la troisieme dimension associee a un design original permet en outre d’obtenir un effet de pseudo multiplication de frequence qui doit conduire, d’apres les modeles que nous avons developpes, a des densites de puissance nettement superieures a celles presentees dans l'etat de l'art. Pour realiser ce microsysteme tridimensionnel, nous avons developpe un procede de fabrication additif qui repose sur des etapes de micro moulage d'un materiaux structurel obtenu par croissance electrolytique (nickel), de croissance d'un materiau sacrificiel (cuivre) et de polissage. L’identification d’imperfections geometriques dues au procede et aux materiaux utilises nous a amene a ameliorer la conception du transducteur. Par ailleurs, de nombreux verrous de fabrication ont ete leves au cours de cette these grâce a la mise en œuvre d’une instrumentation dediee. Ce procede nous a permis de fabriquer un premier prototype tridimensionnel du micro-transducteur electrostatique compose de 10 couches de nickel. D’autres metaux elabores par croissance electrolytique pourraient etre envisages pour realiser des microsystemes tridimensionnels, suivant les besoins de l’application consideree. Afin d’anticiper d’eventuels problemes de compatibilite des micro-dispositifs avec l'imagerie par resonance magnetique, nous avons mis au point le procede de croissance electrolytique d’un materiau non-magnetique a base de nickel dope au phosphore.
So Why Use Multimedia, the Internet, and Lotus Notes?.

As part of an effort to begin offering a general chemistry course over the Internet, a project was undertaken at Kansas's Johnson County Community College to determine the possibilities of using a computer to incorporate the tools used in teaching organic chemistry. Using an interactive software package, original lectures were developed, with lecture content being placed on slides and textbook overheads scanned into electronic format. In each lecture, buttons were added that linked to other software programs providing related information. The integration of these elements into the computer created an environment that promoted discussion, freeing class time that had previously been spent on drawing structures of chemical models, and allowed the instructor to more readily ascertain the levels of student comprehension. This approach can be easily reproduced on the Internet, using the World Wide Web and Lotus Notes, or another groupware tool to disseminate class materials and facilitate communication with the professor. The Web can provide students with information, animation, and visual material that cannot be distributed in paper format in the classroom. Student reactions to the computer-based format were overwhelmingly positive. Although modifying a class for computer or Internet delivery is time-consuming and the Web is still an unstable environment, students tend to enjoy the class more and thus stay in class. (BCY) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ******************************************************************************** So Why Use Multimedia, the Internet, and Lotus Notes? of Donnie N. Byers Johnson County Community College Paper given at the Technology in Education Conference (San Jose, CA, April 21-22, 1997)
Une méthode adaptative pour la segmentation de drusen

Le but de ce travail est la segmentation automatique d’images d’angiographie du fond de l’œil pour extraire les drusen, qui sont des taches jaunes, un peu nuageuses situées au niveau de la rétine. Les méthodes classiques de segmentation n’étant pas efficaces pour l’extraction automatique des drusen, nous introduisons une nouvelle approche adaptative. Nous introduisons un algorithme adaptatif basé sur des transformations issues de la morphologie mathématique. Au calcul de la transformée “maxima hÄ1”, nous proposons une définition automatique du paramètre de contraste h. Nous introduisons également une approche avec une fonction h.x/ non constante. Le résultat ainsi obtenu fait ressortir les taches en uniformisant le fond. Notre méthode donne des résultats très satisfaisants sur des images typiques. ABSTRACT
Visualisation adaptative d'un syst eme complexe : le cas du corps humain

Ce rapport detaille differents moyens de mise en oeuvre d'un outil a effet pedagogique. Le but du rapport etant d'identifier les methodes les mieux adaptees pour la construction d'un atlas du corps humain interactif. Le rapport presente tout d'abord un etat de l'art assez large dans differents domaines a prendre en compte pour le developpement d'un tel systeme. Un deuxieme chapitre presente les principes retenus pour mettre en oeuvre differentes solutions. Un troisieme chapitre detaille certains points importants dans les choix effectues pour le developpement des principes precedents. Finalement, le rapport permet de conclure sur les differentes solutions les plus appropriees a la construction d'un systeme interactif d'exploration du corps humain.
Understanding course content through letter writing: Do informal writing assignments improve grades?

Using an experimental study design (N=41), we examined whether participation inan informal writing assignment, specifically writing a letter to a friend about course content, improved exam scores in an undergraduate child development course. Findings indicated that participating in the writing assignment significantly improved scores on an exam which included both a multiple–choice component and an essay.No effect emerged for a quiz that included only multiple–choice questions. These findings indicate that writing assignments that require students to summarise and paraphrase newly–learned material may improve performance on exams that have a written component to them.
Modeling Communication on Multi-GPU Systems

Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performance with incredible FLOPS counts. Recent evolution of GPGPU models and technologies make these systems even more appealing as compute devices for a range of HPC applications including image processing, seismic processing and other physical modeling, as well as linear programming applications. In fact, graphics vendor such as NVIDIA and AMD are now targeting HPC with some of their products. Due to the power and frequency walls, the trend is now to use multiple GPUs on a given system, much like you will find multiple cores on CPU-based systems. However, increasing the hierarchy of resource wides the spectrum of factors that may impact on the performance of the system. The lack of good models for GPU-based, heterogeneous systems also makes it harder to understand which factors impact performance the most. The goal of this thesis is to analyze such factors by investigating and benchmarking NVIDIA's multi-GPU solution, their recent NVIDIA Tesla S1070 Computing System. This system combines four T10 GPUs making available up to 4 TFLOPS of computational power. Based on a comparative study of fundamental parallel computing models and on the specific heterogeneous features exposed by the system, we define a test space for performance analysis. As a case study, we develop a red-black, SOR PDE solver for Laplace equations with Dirichlet boundaries, well known for requiring constant communication in order to exchange neighboring data. To aid both design and analysis, we propose a model for multi-GPU systems targeting communication between the several GPUs. The main variables exposed by the benchmark application are: domain size and shape, kind of data partitioning, number of GPUs, width of the borders to exchange, kernels to use, and kind of synchronization between the GPU contexts. Among other results, the framework is able to point out the most critical bounds of the S1070 system when dealing with applications like the one in our case study. We show that the multi-GPU system greatly benefits from using all its four GPUs on very large data volumes. Our results show the four GPUs almost four times faster than a single GPU, and twice as fast as two. Our analysis outcomes also allow us to refine our static communication model, enriching it with regression-based predictions.