Miracle-dz/UniFAR-FTUs huggingface dataset:
O gênero do discurso parlamentar: mulheres e homens na tribuna da câmara dos deputados

Data from a sample of nearly 12 thousand speeches on the floor of the Brazilian House of Representatives from 1999 to 2006 show that Brazilian Congresswomen expound on different issues as compared to their male counterparts. Does this reflect a different perspective by women, as some contend, or does the insulation of Congresswomen within these issues represent the reinforcement of a stereotype that impedes their access to central positions in the political field? In the latter case, the difference is due not to a distinct female sensitivity, but to the limited opportunities open to women in the political field. In other words, the themes that are most permeable to women's presence are associated with the least prestigious positions. This establishes a political division of labor, relegating Congresswomen to the positions least amenable to the accumulation of political capital.
On Channel Estimation for Mobile WiMAX

In mobile communication channels information symbols are transmitted through a communication channel that is prone to fading and multipath propagation. At the receiver, the effect of multipath propagation is reduced by a process called channel equalization. Channel equalization relies on an accurate estimate of the channel state information (CSI). This estimate is obtained using a channel estimation algorithm. Mobile WiMAX is a recently released technology that makes use of an orthogonal frequency division multiplexing (OFDM) based physical layer to transmit information over a wireless communication channel. In this book, frequency and time domain channel estimation methods typically used in classical OFDM systems, using block and comb type pilot insertion schemes, were analyzed and adopted for mobile WiMAX. Least squares (LS) and linear minimum mean square error (LMMSE) channel estimation methods were considered in the case of block type pilot insertion. In the case of comb type pilot insertion, piecewise constant, linear, spline cubic as well as discrete Wiener interpolation methods were considered.
Visual Literacy and Learning in Science. ERIC Digest.

THIS DIGEST WAS CREATED BY ERIC, THE EDUCATIONAL RESOURCES INFORMATION CENTER. FOR MORE INFORMATION ABOUT ERIC, CONTACT ACCESS ERIC 1-800-LET-ERIC In our visually oriented age, science and technology education rely heavily on the use of pictures to present technical information. Today's students live in an information environment saturated with visual images, and educational materials are no exception. Because educational materials must compete for attention in this rich visual environment, all types of teaching resources from traditional textbooks to the latest
Polarimetry and modelling of narrow-line active galaxies

iDivision of Physical Sciences, University of Hertfordshire, College Lane, Hatfield, Herts ALI0 9AB 2Department of Astronomy and McDonald Observatory, RLM 15.308, University of Tems at Austin, Austin, TX 78712, USA 3Anglo-Australian Observatory, PO Box 296, Epping, NSW 2121, Australia 'University of Oxford, Nuclear and Astrophysics Laboratory, Keble Road, Oxford OXI 3RH sAffiliated to the Space Sciences Division of ESA, Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA Wuffield RDdio Astronomy Laboratory, University of Manchester, Jodrell Bank, Macclesfield, Cheshire SKI 1 9DL
Synthesis of feedback control logic for controlled Petri nets with FBCF uncontrolled subnet

This paper extends the previous work of Holloway and Krogh (1990) on the synthesis of feedback control logic for controlled cyclic marked graphs. A more general class of controlled Petri nets are considered and the restrictions on initial markings and forbidden state set specifications of controlled cyclic marked graphs in their work are taken away. <<ETX>>
A Domain Based Approach to Crawl the Hidden Web

There is a lot of research work being performed on indexing the Web. More and more sophisticated Web crawlers are been designed to search and index the Web faster. But all these traditional crawlers crawl only the part of Web we call “Surface Web”. They are unable to crawl the hidden portion of the Web. These traditional crawlers retrieve contents only from surface Web pages which are just a set of Web pages linked by some hyperlinks and ignoring the hidden information. Hence, they ignore tremendous amount of information hidden behind these search forms in Web pages. Most of the published research has been done to detect such searchable forms and make a systematic search over these forms. Our approach here will be based on a Web crawler that analyzes search forms and fills tem with appropriate content to retrieve maximum relevant information from the database. INDEX WORDS: Web crawler, Search spider, Web bot, Best first crawler, Focused Web crawler, Web page, Domain based. A DOMAIN BASED APPROACH TO CRAWL THE HIDDEN WEB
Breaking immersion by creating social unbelievabilty

For the last 20 years, computer games and virtual worlds have made great advances when it comes to audiovisual fidelity. However, this alone is not sufficient to make the games seem believable -- the game world must also seem to be alive. In order to accomplish this, the world must be populated by realistic characters who behave in a coherent and varied way. Many game developers seem to realize this, and the capacity of the artificial intelligence controlled non-player characters in the games are often large selling points. However, as pointed out by recent research these opponents do not always exhibit realistic, coherent and varied behaviour. We have examined this phenomenon by analysing a number of games where non-player characters are especially important for the players' enjoyment, and established six anti-heuristics that can be used to identify non-desirable behaviour in non-player characters.
The NeuroProcessor: An Integrated Interface to Biological Neural Networks

This book presents the Neuroprocessor, a novel computational neuronal interface device implemented in VLSI technology. In addition to neuronal signals acquisition, it can process the data, generate stimuli and transmit the data over wireless channels, while using minimum electric energy. The NeuroProcessor opens with a brief background on neuronal communication and microelectrode recording. It introduces three generations of the Neuroprocessor and presents their architecture, circuits and algorithms. Applications to a miniature head-stage for in-vivo experiments and multi-electrode arrays for in-vitro studies are described.
Tuttle learning Japanese kanji : the innovative method for learning the 520 most essential Japanese kanji characters

Ｍｏｕｎｔａｉｎ（山） Ｐｅｒｓｏｎ（人） Ｏｎｅ（一） Ｔｗｏ（二） Ｔｈｒｅｅ（三） Ｓｕｎ（日） Ｗｈｉｔｅ（白） Ｍｏｕｔｈ（口） Ｒｏｔａｔｅ（回） Ｆｏｕｒ（四）〔ほか〕
Sosyal Bilgiler Öğretmen Adaylarının Kullandıkları Öğrenme Stratejileri

Arastirma, Kirsehir Egitim Fakultesi Ilkogretim Bolumu Sosyal Bilgiler Ogretmenligi Anabilim Dalinda ogrenim gormekte olan ogretmen adaylarinin ders calisirken kullandiklari ogrenme stratejilerini belirlemek amaciyla yapilmistir. Bu amacla, varolan bir durumu betimlemeyi amaclayan tarama modeli bir calisma yurutulmustur. Arastirmanin evrenini Ahi Evran Universitesinde ogrenim gormekte olan ogrenciler, orneklemini ise 2009–2010 egitim-ogretim yilinin guz doneminde Kirsehir Egitim Fakultesi Ilkogretim Bolumu Sosyal Bilgiler Ogretmenligi Anabilim Dalinda ogrenim gormekte olan ogretmen adaylari 176’si kiz ve 218’i erkek 394 ogrenci olusturmaktadir. Calismada, likert tipi besli bir olcek kullanilmis ve veriler uzerinde SPSS 15 paket programiyla yuzde, frekans, t-testi, ANOVA ve Pearson korelasyonu analizleri yapilmistir. Calismanin sonucunda, Sosyal Bilgiler ogretmen adaylarinin kullandiklari bazi ogrenme stratejilerinin, cinsiyet, ogretim durumu ve ogrenim gordukleri sinif duzeyine gore anlamli farkliliklar gosterdigi bulunmustur
Delay Hierarchy Propagation Model

Construction projects are always exposed to delay. Research has shown that most projects encounter delays and this problem is a global one. Previous research related to delays in construction projects have been dedicated to measuring and ranking the direct delays that have occurred. These types of delay are past delays and have already affected many aspects of the project's performance. This type of research is of the reactive type and handles delays after they have happened. The objective of this research is to model the construction project delays that can be used to predict the level of delays that the project could face during its future life. The proposed Delay Hierarchy Propagation Model (DHPM) is the first attempt to model delays in the construction project. This model is an innovative predictive approach to anticipate the future encountered delays before they become real. The model assumes that the direct delay is generated from earlier events or aspects that are found before the direct delay occurs; these events are called the root delay causes. These root delay causes need to be analysed, measured and managed in order to prevent or mitigate the effect of a later direct delay in the project life. The direct delays were analysed by a cause-effect technique to extract a set of root delay causes. The model assumes that the root delay causes will influence the project resources supply rate. The resource shortage then leads to activity delay and, hence possible delay to the whole project. The DHPM consists of two interrelated models: a Resource Shortage Possibility (RSP) model and the Predicting Project Delay model (PPD) model. The RSP model objective is to predict the possibility of resource shortage, whilst the PPD model objectives are to predict the project finish time and to define the critical areas for the project to delay using the output of the RSP model as input. The RSP model was verified through interview questionnaires with a number of selected personnel from the construction industry. The Delphi method was used to enhance the questionnaire results. The RSP model calculations used a combination of fuzzy logic, analytical hierarchy process (AHP) and multi-attribute theory to obtain the model output. A prototype computer program was introduced. The prototype computer program was then tested on a real construction project. The application of the RSP model showed that it is viable. The PPD model used probabilistic networking to predict the finish time of the project. The model introduced two new terms that can be used to define the most critical activities and the possible resource influence to delay. The comparison between PPD and the classical critical path method (CPM), programme evaluation and review technique (PERT) and Monte Carlo simulation revealed that the proposed model provides new information required to enhance delay management by project management staff.
Parallel Database Systems: New Issues

Parallel database systems attempt to exploit recent multiprocessor computer architectures in order to build high-performance and high-availability database servers at a much lower price than equivalent mainframe computers. Although there are commercial SQL-based products, a number of open problems hamper the full exploitation of the capabilities of parallel systems. These problems touch on issues ranging from those of parallel processing to distributed database management. Furthermore, it is still an open issue to decide which of the various architectures among shared- memory, shared-disk, and shared-nothing, is best for database management under various conditions. Finally, there are new issues raised by the introduction of higher functionality such as knowledge-based or object-oriented capabilities within a parallel database system.
Prosodic Aids to Speech Recognition

Abstract : A strategy is outlined for acoustic aspects of speech recognition, whereby prosodic features are used to detect boundaries between phrases, then stressed syllables are located within each constituent, and a partial distinctive features analysis is done within stressed syllables. Facilities were implemented for linear prediction, formant tracking, and extraction of fundamental frequency and speech energy contours. A program was implemented which detects 90% of all boundaries between major syntactic constituents from fall-rise valleys in fundamental frequency contours.
MobiWork: Mobile Workflow for MANETs

The workflow model is well suited for scenarios where many entities work collaboratively towards a common goal, and is used widely today to model complex business processes. However, the fundamental workflow model is very powerful and can be applied to a wider variety of application domains. This paper represents an initial investigation into the possibility of using workflows to model collaboration in an ad hoc mobile environment. Moving to a mobile setting introduces many challenges as the mobility of the participants in a workflow imposes constraints on allocation of workflow tasks, coordination among participants, and marshaling of results. We present an algorithm that heuristically allocates tasks to participants based on their capabilities and mobility and discuss the architecture and implementation of MobiWork, our prototype system that allocates and executes workflows in an ad hoc mobile environment. An evaluation of the performance of our heuristic algorithm is also presented. Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 MobiWork: Mobile Workflow for MANETs Gregory Hackmann, Rohan Sen, Mart Haitjema, Gruia-Catalin Roman, and Christopher Gill Department of Computer Science and Engineering Washington University in St. Louis Campus Box 1045, One Brookings Drive St. Louis, MO 63130, U. S. A. {ghackmann, rohan.sen, mart.haitjema, roman, cdgill}@wustl.edu
SAR images and interferometric coherence for flood monitoring

SAR backscatter intensity has already been successfully exploited for the detection of different types of changes in a scene, including seasonal changes, ice floes, landslides, earthquake damage and flooding. A drawback is that the backscatter intensity is affected by the presence of wind fields, water. Flood detection performed by only involving SAR intensity values could be not reliable, unless the weather information is integrated. On the contrary, interferometric coherence, usually low in presence of water, is not sensitive to weather conditions. The authors demonstrate that water can be easily identified by a data fusion which involves multitemporal backscatter intensities and multitemporal interferometric coherence: the additional information provided by the absence of coherence over water allows for a more accurate identification of the flooded areas with respect to simply exploiting the backscatter intensity.
AIR: Adaptive Dynamic Precision Iterative Refinement

In high performance computing, applications often require very accurate solutions while minimizing runtimes and power consumption. Improving the ratio of the number of logic gates implementing floating point arithmetic operations to the total number of logic gates enables greater efficiency, potentially with higher performance and lower power consumption. Software executing on the fixed hardware in Von-Neuman architectures faces limitations on improving this ratio, since processors require extensive supporting logic to fetch and decode instructions while employing arithmetic units with statically defined precision. This dissertation explores novel approaches to improve computing architectures for linear system applications not only by designing application-specific hardware but also by optimizing precision by applying adaptive dynamic precision iterative refinement (AIR). This dissertation shows that AIR is numerically stable and well behaved. Theoretically, AIR can produce up to 3 times speedup over mixed precision iterative refinement on FPGAs. Implementing an AIR prototype for the refinement procedure on a Xilinx XC6VSX475T FPGA results in an estimated around 0.5, 8, and 2 times improvement for the time-, clock-, and energy-based performance per iteration compared to mixed precision iterative refinement on the Nvidia Tesla C2075 GPU, when a user requires a prescribed accuracy between single and double precision. AIR using FPGAs can produce beyond double precision accuracy effectively, while CPUs or GPUs need software help causing substantial overhead.
THE EFFECTS OF ONLINE SELF-STUDY WEBSITES ON PREPARATORY CLASS UNIVERSITY STUDENTS

Bireysel calisma ve ozerklik, yabanci diller egitimi de dahil olmak uzere, her bir disiplinde egitim alan ogrenciler icin sahip olunmasi ve gelistirilmesi gereken onemli becerilerdir. Bu gercege paralel olarak, neredeyse tum modern ders kitaplarinin paket icerigine cevrimici uygulama etkinlikleri dahil edilmektedir. Bazi ogrenciler bu firsati en iyi bicimde kullanirken, diger bazi ogrenciler ise bu olanagi goz ardi etmektedir. Bu bireysel calisma web sitelerinin cogu, kullanicilara dort dil yeteneginde (dinleme, konusma, okuma ve yazma) ve dilbilgisi, kelime bilgisi ve telaffuz gibi alanlarda pratik yapma olanagi saglamaktadir. Dahasi, bu uygulamalar cogunlukla sinif ogretmeninin ogrencileri kontrol etmesi, duzeltmesi ve ogrencilerin tamamladigi ogeleri geri alabilmesi acisindan cift yonlu etkilesim saglamaktadir. Ingilizce seviyelerini gelistirmek icin cep telefonlarini ve kisisel bilgisayarlarini siklikla kullanan genc ogrenciler icin, bireysel calisma web siteleri motive edici ve dikkat cekici ozellikler tasimaktadir. Bu calisma, bu bireysel calisma web sitelerinin, bir devlet universitesindeki hazirlik sinifi ogrencileri icin yabanci dili olarak Ingilizce ogrenmelerini ne olcude destekledigini ortaya cikarmayi amaclamaktadir. Bireysel calisma web sitesini kullanan ve kullanmayan ogrencilerin ara sinavlar ve haftalik olarak yapilan surpriz sinavlarda aldiklari notlari karsilastirilmis ve ogrencilerin cevrimici bireysel calisma programlarina yonelik tutumlarini belirlemek amaciyla bir anket yapilmistir. Bu calisma icerisinde, yapilan karsilastirma ve anketin sonuclari ele alinarak tartisilmistir.
Correcting dye bias with the GASSCO method using the dyebias package

1 Overview 22 Installing 23 Introduction 34 Tuteja et al. (2008) 34.1 Reading the data . 34.2 Estimating the iGSDB . 94.3 Applying the dye bias correction . 104.4 Plotting the data . 125 Chen et al. (2007) 155.1 Reading the data . 155.2 Estimating the iGSDB . 175.3 Reading the rest of the data . 175.4 Applying the dye bias correction . 185.5 Plotting the data . 186 Closing remarks 207 sessionInfo 211
Professional Java User Interfaces

Acknowledgements. Introduction. 1 Putting GUI Development into Context. 2 Introduction to User Interface Design. 3 Java GUI Design. 4 Recurring User Interface Designs. 5 Iterative GUI Development with Java. 6 Implementation Issues. 7 Code Organization. 8 Form-Based Rich Clients. 9 Web-Based User Interfaces. 10 J2ME User Interfaces. 11 Java Tools and Technologies. 12 Advanced Issues. 13 Rich Client Platforms. 14 The Personal Portfolio Application. 15 An Example OO User Interface. 16 An Example Ad-Hoc Component. A A Questionnaire for Evaluating Java User Interfaces. B A Questionnaire for Evaluating J2ME Applications. References. General advice on usability and GUI design. Java-specific links. Index.
Black Art of Macintosh Game Programming

From the Publisher: Black Art of Macintosh Game Programming is the essential reference for anyone who wants to program 3D games on a Macintosh. It provides complete, step-by-step instructions for creating a fully-functional 3D maze game and a 3D flight simulator on the Macintosh. Covers free-form texture mapping, menus, event loops, fixed-point arithmetic, optimizing game-specific code for the Power PC, and more CD-ROM includes a fully-functional 3D maze game and a 3D flight simulator in both Symantec C and CodeWarrior environments
Neural networks, fuzzy logic, and genetic algorithms : synthesis and applications

A Study of Adaptive Neural Network Control System. Zhong, Heng Design of Fuzzy Logic Controller Based on Differential Evolution Algorithm. Shuai, Li (et al.). Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis. Fuzzy Logic and Neural Networks: Basic Concepts and Applications. logic genetic by rajasekaran ebook. srajasekaran and ga vijayalakshmi pai neural networks. MODERN MAGNETIC MATERIALS PRINCIPLES AND APPLICATIONS PDF FREE NETWORKS FUZZY LOGIC AND GENETIC ALGORITHMS SYNTHESIS.
CRISP: Customer response based iterative segmentation procedures for response modeling in direct marketing

We present a system of empirical segmentation procedures called CRISP (Customer Response-based Iterative Segrnentation Procedures) for simultaneously deriving market segments and estimating models of customer response in each of these segments. While the common practice in response modeling is to estimate a single response model for all customers in the database, we allow for customer heterogeneity by calibrating response models for different (unknown) customer segments. We describe a system of iterative segmentation procedures that simultaneously estimate the number of customer segments, the sizes of each derived segment, the values of segment-level response parameters, and their statistical significance, all in a maximum likelihood framework that can accommodate various types of commonly collected response data. To illustrate the CRISP system, we discuss an empirical application entailing typical binary response data for a large number of households for a mail subscription offer from a major magazine publisher. We describe the specific implementation of CRISP to this particular problem of list segmentation, and discuss its Potential usefulness to direct mail marketers. We conclude by discussing the general uses of the CRISP system for response modeling in other direct marketing contexts besides list segmentation.
Bridging linguistic gaps: The effects of linguistic distance on adult learnability of Dutch as an additional language

Using multilevel models, we decomposed variance in proficiency scores across adult learners of Dutch as a second language into individual (learner characteristics) and contextual (group characteristics) components. The linguistic distance between the mother tongue and the second language (L2) of a learner is a contextual effect that varies according to the degree of difference between a learner’s mother tongue and the L2. We have analysed L2 learners’ state exams for Dutch speaking proficiency to explain variance in L2 proficiency scores on the basis of two different linguistic distance techniques: one that uses the traditional expert-based, historicalcomparative method as input for its Bayesian phylogenetic inferences as used in Gray and Atkinson (2003), and one that uses automatic distance based method applied in the ASJP project as input for a neighbour joining algorithm (C. H. Brown et al., 2008). We used data from more than 33,000 examinees, speaking 35 different Indo-European languages, originating from 89 different countries. Our main aim was to partial out the impact of linguistic distance on proficiency in speaking Dutch as an L2. The multilevel models that we used incorporated one confounding variable on the contextual level: the quality of the educational system, and five confounding variables on the individual level: gender, educational level, length of residence, age of arrival in the Netherlands, and proficiency in an additional language. We were able to identify robust L1 distance effects, for both of the distance measures we used, and we compared them to the predicted scores obtained in our multilevel analysis. Our conclusion is that differences in second language learning proficiency offer an excellent testing ground not only for validating the concept of linguistic distance itself, but also for comparing the performances of different types of linguistic distance.