Miracle-dz/UniFAR-FTUs huggingface dataset:
Individual differences in processing temporarily ambiguous quantifiers

In previous research, individual differences have been found in quantifier interpretation. When people are asked to complete sentences such as “Four flowers were put in the vase. Three. ”, most people preferred a subset reading for the second sentence, i.e. a reading in which “three” refers to three of the four flowers that were mentioned previously. However, in studies on quantifier processing, only a subgroup of readers have shown effects that were associated with revision when the quantifier of the second sentence in the sequence was not compatible with the preferred subset reading (i.e. larger than the first). This subgroup of readers was characterized by their performance on comprehension statements that followed the sentence sequences in the quantifier processing study: Poor comprehenders did show a revision effect, while Good comprehenders did not. We replicated a self-paced reading study of quantifier interpretation designed by Kaan, Alcocer, Barkley and Dallas (2007) and compared Poor and Good comprehenders on language and reading ability (as measured by the Shipley vocabulary task), working memory (as measured by an operation span and a reading span task) and attention (as measured by a situational motivation questionnaire). These measures were hypothesized to be factors in performance on the quantifier interpretation task by modulating reading comprehension and/or commitment to a particular reading of the sentence. Differences between Poor and Good comprehenders existed on tasks of working memory and language ability, but not on motivation. Unexpectedly, the best predictor of accuracy on the comprehension statements was the distracter task used in the operation span task. This distracter task involved the verification of simple math problems of the form “Is (8 : 2) – 3 = 1 ? ”. However, performance on this equation verification task was not found to be related specifically to the interpretation of the quantities mentioned in the sentences, but was associated with general comprehension of the sentence sequences. This suggested that individual differences in quantifier interpretation were related to general cognitive capacities such as working memory and language skills.
Web and Philosophy, Why and What For?

The advent of the Web is one of the defining technological events of the twentieth-first century, yet its impact on the fundamental questions of philosophy has not yet been widely explored, much less systematized. The Web, as today implemented on the foundations of the Internet, is broadly construed as an information space, the space of all items of interest (“resources”) identified by URIs (Uniform Resource Identifiers, such as “http://www.example.org”). Originally conceived as an hypertext system of linked documents, today the Web is rapidly evolving as a universal platform for data and computation, as URIs are used to identify everything from data on the Semantic Web and mobile code in Web applications. Even more swiftly is the Web-driven transformation of many previously unquestioned philosophical concepts of privacy, authority, meaning, identity, belief, intelligence, cognition, and even embodiment in surprising ways. In response, we hope to provoke the properly philosophical question of whether there is a consistent new branch or practice of philosophy that can weave these changes to technology and society into a coherent whole and have a real social impact?
Creating Web-Based Learning Systems: An Evolutionary Development Methodology

In order to become a crucial resource for learners, Web-based learning must take into consideration that education has triggered a shift from the teaching paradigm to the learning paradigm. As a result, students are becoming more independent from the teacher. Besides the evolution of the learning paradigm, educational technologies are evolving constantly. Moreover, changes caused by academic institutions, course content, ethical, legal, cultural issues need to be considered in the development of Web-based learning. Clearly, Web-based learning systems must constantly evolve in order to meet their requirements. But still, much of the development of Web-based learning is carried out without a true understanding of requirements that are proper to Web-based learning, resulting in bad analysis and design, poor quality, and maintainability. This paper focuses on the application of an evolutionary software development process model to translate Web-based learning requirements into a system that provides learners with information that supports effective learning.
PDB-by-RMSD: The New Service and Tool for Searching Protein Structures

Modern databases and search engines for structural biology are very sophisticated and versatile. Ho wever, scientific life discovers new research topics almost every day. For instance scientific visualizat ion is a field where distances between different conformations play a crucial ro le. In our research of protein motions we have faced a problem of searching of structures with known Root Mean Square Dev iation (RMSD). In spite of the fact that there is a set of tools giving possibility of search on different databases, it is impossible to set RMSD interval between NM R models of some protein as the search criterion. PDB-by-RM SD is a tool, developed to provide such possibility. It can be used in protein motion researching or protein visualization(1-5).
供电能力再提升 USB Power Delivery技术解析

爱自己制定接口标准的厂商很多，但能够被市场广泛接受的不多。 遥想10年前，手机几乎是不同的品牌用不同的充电器和数据线，相互之间完全不通用。 我们其实应该感谢USB一统江湖，USB让电脑、数码产品之间的连接更加简单，我们可以精简掉很多线缆，数据传输和电力供应可以合二为一，然而这也仅限于手机、随身听等小型数码设备。 受USB供电能力限制，平板电脑、笔记本电脑等的电源依然还是采用不同的接口标准。 不过，随着USBPowerDelivery（USB电力传输）标准的出现，线缆大一统的时代也许快来了。
An Integrated Cache Timing and Power Model

1 CACTI CACTI [6] calculates access and cycle times of hardware caches. It uses an analytical model to estimate delay down both tag and data paths to determine the best configuration for a given cache size, block size, and associativity (at 0:80 m technology size). Figure 1 demonstrates the architecture of the cache in the analytical model. In addition to providing timing data for each portion of the data and tag paths, CACTI also returns the number of data and tag arrays (in terms of the number of word line and bit line divisions), and the number of sets mapped to a single wordline, for both tag and data arrays. CACTI does not model cache area, but does estimate wire resistance and capacitance based on cache configuration.
Guides and Oracles for Linear-Time Parsing

If chart parsing is taken to include the process of reading out solutions one by one, then it has exponential complexity. The stratagem of separating read-out from chart construction can also be applied to other kinds of parser, in particular, to left-comer parsers that use early composition. When a limit is placed on the size of the stack in such a parser, it becomes context-free equivalent. However, it is not practical to profit directly from this observation because of the large state sets that are involved in otherwise ordinary situations. It may be possible to overcome these problems by means of a guide constructed from a weakened version of the initial grammar.
Pemodelan Spasial Resiko Kebakaran Hutan (Studi Kasus Provinsi Jambi, Sumatera)

The lack of information and references about forest fires risk has caused forest fires controlling in Jambi Province could not be done effectively and efficiently. Therefore, a spatial model of forest fires risk based on predictor variables which cause forest fires must be established as one of the alternative innovation in supporting on forest fire controlling. Linear regression analysis on the relation between predictor variables (biophysics and human behavior/anthropogenic) and the occurrences of forest fires in Jambi Province showed significant influence 80.5%, with the form of the equation: Y = 2.380 to 0.02 X1 + 2.45 X2 - 0.67 X3 - 1 , 07 X4 - 0.79 X5 - X6 0,32 - 0,18 1,17 X7 + X8. Analysis of confusion matrix confirmed the accuracy of the model with accuracy rate 80.24% and spatially most areas in Jambi province belongs to the category of high risk of forest fires.
Dynamic visualization of geographic networks using surface deformations

Visualization techniques for geographic data show vast variations which are well-developed over centuries. While most of the known techniques are sound for low dimensional data sets, few techniques exist for visualization of high dimensional data within the geographic framework. This thesis investigates visualization of temporal. high dimensional network data within the geographic context. The resulting visualization system employs network visualization techniques in conjunction with cartographic visualization methods for providing a qualitative feel for the data, while conventional methods are employed for detailed examination. In turn, the visualization facilitates comprehension of non-spatial variables with respect to the geographic context.
Performance analysis and visualisation in tennis using a low-cost camera network

We describe a novel system for tennis performance analysis that allows coaches to review games and provide detailed audio-visual feedback to tennis athletes. The basis for our system is a network of low-cost IP cameras surrounding the tennis court. Our system exploits the output of several visual analysis modules, including the tracking of players and the tennis ball, and the extraction of player silhouettes for 3D reconstruction. A range of intuitive tools within the interface allow tennis coaches to add 2D and 3D annotations to live video, view play from multiple perspectives, record audio commentary and compute game statistics in real-time. The result is a video file that can be used to provide personalised feedback to the players or for use as a teaching resource for others. While we focus on tennis in this work, we believe our system can be generalised to other sports and allow a range of non-professional sports clubs to provide high-quality feedback to their athletes.
Automatic music classification and the importance of instrument identification

This paper empirically demonstrates the particular effectiveness of features based on instrumentation in the realm of automatic music classification. The effectiveness of high-level features in general, relative to low-level signal-processing based features, is also demonstrated through an experiment involving automatic genre classification. Experimental evidence is also provided supporting the use of large feature sets combined with feature weighting systems. The tools used to pursue this research are described, as is pertinent background information. An overview is provided of a large library of useful musical features that is available for research purposes to theorists, musicologists and other researchers. The Bodhidharma symbolic music classification system is also introduced as a useful and easy to use tool for researchers wishing to pursue research in music classification based on instrumentation and other high-level features.
Qualitative Comparative Analysis for Conducting Multiple Case Study Research: Concept and Discussion

We aim to make a contribution by deepening the understanding on how Qualitative Comparative Analysis methods can be applied for theory building in multiple-case studies when the relationship between Information Technology and organizations is investigated. In our presentation, we will outline a research design using qualitative comparative analysis, show one example of applying the method in the field of eHealth research, and discuss the pros and cons of our methodological choice.
The Effects of Alphabet Knowledge on Korean Kindergarteners' Reading of Hangul Words

The purpose of this study was to investigate the causal relationship of kindergarteners' alphabet knowledge to their ability to read words, in connection with the features of the Korean alphabet 'Hangul'. A total of 289 children aged four to six from three kindergartens in Busan participated in the study. The main results are as follows. To begin with, the participants showed continuous development in the knowledge of consonant names, vowel sounds, the vowel stroke-adding principle, and the alphabet composition principle. Meanwhile, discontinuous development was found in the knowledge of consonant sounds and the consonant stroke-adding principle, which indicated that kindergartners could show differential speed in various sub-skills of literacy development. The kindergartners' naming of consonants developed before their recall of consonant sounds, and the knowledge of consonant sounds had an effect on the knowledge of vowel sounds. Children had difficulty in treating more complicated letters of the alphabet stroke-adding principle test, and eve syllables of the alphabet composition principle test. Most importantly, the children's alphabet knowledge was strongly related to their ability to read words written in Hangul, as kindergarteners with a greater knowledge of alphabet names, sounds, and principles were shown to read words better.
Comprehensive Software Solution for the Management of Complex Oceanographic and Meta Data (Extended Abstract)

These features are possible because the DMS supports standard communications: TCP Server; TCP Client; Email (POP3, SMTP, IMAP); Serial; Modem Dialup; FTP; as well as custom interfaces direct to Inmarsat M2M, Inmarsat IsatData Pro, and GOES. These communications make it possible to support telemetry options like: VHF/UHF Radios, CDMA Modems, GPRS Modems, Inmarsat C, Iridium, Inmarsat M2M, Inmarsat IsatData Pro, Wi-Fi, Bluetooth, GOES, and GlobalStar.
Semantic Word Processing for Content Authors

Document authors cannot routinely afford the overhead imposed by current semantic annotation tools. Some characteristics of their task can be exploited to provide them with a tool that will reduce the effort required to create both the document content and their accompanying semantic annotations. SemanticWord is such a semantic annotation tool. SemanticWord is an environment based in MS Word that integrates content and markup authoring, providing customizable tools that allow simultaneous generation of content and semantic annotations, an annotation scheme that allows annotations to be reused when content is reused, a customizable library of templates containing partially annotated text, and an automatic information extraction system with the tools for refining and augmenting its output.
Database Programming with JDBC and Java, Second Edition

From the Publisher: This book describes the standard Java interfaces that make portable object-oriented access to relational databases possible and offers a robust model for writing applications that are easy to maintain. It introduces the JDBC packages and uses them to develop three-tier applications (applications divided into a user interface, an object-oriented logic component, and an information store). " "The second edition also explains the relationship between JDBC and Enterprise JavaBeans. If you use Enterprise JavaBeans, JDBC can handle object persistence; if you choose not to use Enterprise JavaBeans, this book shows you how to achieve many of the same goals in your own code.
Monte Carlo Methods and the Challenge of Photo-Realism in Computer Graphics

Computer Graphics have come a long way since the pioneering work of Ivan Sutherland in the early 60’s and his SketchPad software developed during his postgraduate research studies at MIT. This system used a vector-based Cathode Ray Tube with a prototype ”light-pen” device with which users of the system could draw line based images on the display. In more recent times, computer graphics are not simply an interface between human and computer but a tool for visualisation, expression and communication. There have been many goals for the computer graphics industry and academic community: to simplify the interface to the computer; to allow manipulation and visualisation of data in a meaningful and insightful manner; to facilitate medical exploration of the human body; to provide faster drawing speeds for real-time applications including simulators and games. The dominant objective, however, has remained the attainment of realism. If we have truly realistic computer graphics we can create digital actors and replace their live counterparts for particularly dangerous or difficult movie sequences. We can produce images of product designs with absolute faith that the image is a completely accurate and faithful representation of a manufactured version. Realism has a price though. It is probably fair to say that we understand quite well the mechanics of image formation, optics and reflectance (at the very least for certain classes of scenes and environments). There are tremendous problems associated with acquiring accurate input data, however, and the final ingredient, the simulation, still presents tough challenges. Each image we perceive is the result of countless billions of interactions between photosensitive retinal cells and incident light energy. This energy that arrives at the eye has almost certainly had an interesting journey from its source experiencing many scattering events at the interfaces between media in the scene and within the media themselves. Solution strategies have involved the use of both Finite Element and Monte Carlo Methods. We will examine how such methods may be employed in realistic image creation, assess their current application and suggest areas of future research and development. Email: Steven.Collins@cs.tcd.ie, Web: http://isg.cs.tcd.ie/scollins/
Adapting To Evolving Needs: Evaluating A Behaviour-Based Search Interface

In this paper we present an evaluation of a behaviour-based adaptive search interface that predicts the current state of a user’s information need based on their interaction. We evaluate the hypotheses that our adaptive system selects additional query words that closely describe user needs and is able to accurately depict the degree of change in these needs. Our evaluation, with real users and different types of information seeking scenario, shows that these hypotheses hold.
Enhancing the scalability of heterogeneous MANET routing protocols

xv Acknowledgements . xviii
Extraction of topic transition from document stream based on hierarchical clustering

Abstract We propose a method for extracting keywords expressing topic transition from document stream such as news articles based on hierarchical clustering and C-value method for constructing compound words. Through the user evaluation of 640 topics extracted between 32 days, we found users could understand 94.3% topics as news, and 68.6% topics including topic transition.
Compiler-Assisted Debugging and Multiple Instruction Retry

Abstract : Backward execution requires the saving of historic information concurrently with the normal execution in order for a program to roll back. There are several applications for which backward execution is useful. In an environment where reliability is a concern, it may be necessary to roll back the program to a previously executed state in case of system faults. Multiple instruction retry is an alternative to checkpointing for recovery from a transient processor failure, especially when the error detection latency is only a few cycles. Speculative execution can achieve significant speed up for superscalar architectures by utilizing instruction retry to roll back the computation above mispredicted branches. Debugging is another field that can benefit from backward execution. Allowing the user to undo several instructions at specific positions may facilitate program debugging. This thesis describes schemes that have been implemented for multiple instruction retry for both RISC- type scalar processors, and very long instruction word (VLIW) architectures. The thesis also presents approaches that incorporate backward execution into a debugger, at both the compiler and the debugger levels.
Default Inheritance and Derivational Morphology

This paper deals with the question whether type hierarchies together with default inheritance can be used to describe derivational morphology. Given the challenges provided by Krieger and Nerbonne (1993) it seems impossible to do derivation without embedding and as will become clear the price for doing derivation with default inheritance is very high inde ed.
The Aesthetics of Magnetic Resonance Imaging (MRI): from the Scientific Laboratory to an Artwork

This article investigates the aesthetic potential of Magnetic Resonance Imaging (MRI), a medical imaging technique, both inside the laboratory and in the arts. By combining Rancière’s understanding of aesthetics with Merleau-Ponty’s notion of embodied perception, it argues that an imagegenerating technique conceived in the scientific field can successfully migrate into the realm of fine art, opening up new aesthetic and perceptual possibilities. Although aesthetic qualities are already present in the laboratory, they remain hidden by the necessity of reading the image-data obtained according to the interpretative framework of the medical discourse. Two paths are covered: the first goes from the viewer’s encounter with the MRI-based sculptures by Marc Didou, the case-study examined, to the principles of MRI; the second describes the principles of MRI concluding with the artwork. The process of travelling along these paths highlights the aesthetic potential inscribed both in MRI and in our seeing.
An analysis of EEG signals present during target search

Recent proof-of-concept research has appeared highlighting the applicability of using Brain Computer Interface (BCI) technology to utilise a subjects visual system to classify images. This technique involves classifying a users EEG (Electroencephalography) signals as they view images presented on a screen. The premise is that images (targets) that arouse a subjects attention generate distinct brain responses, and these brain responses can then be used to label the images. Research thus far in this domain has focused on examining the tasks and paradigms that can be used to elicit these neurologically informative signals from images, and the correlates of human perception that modulate them. While success has been shown in detecting these responses in high speed presentation paradigms, there is still an open question as to what search tasks can ultimately benefit from using an EEG based BCI system. In this thesis we explore: (1) the neural signals present during visual search tasks that require eye movements, and how they inform us of the possibilities for BCI applica- tions utilising eye tracking and EEG in combination with each other, (2) how temporal characteristics of eye movements can give indication of the suitability of a search task to being augmented by an EEG based BCI system, (3) the characteristics of a number of paradigms that can be used to elicit informative neural responses to drive image search BCI applications. In this thesis we demonstrate EEG signals can be used in a discriminative manner to label images. In addition, we find in certain instances, that signals derived from sources such as eye movements can yield significantly more discriminative information.
The Task Programming Problem in Clothing Workshops

1. Abstract The present work studies the task programming problem in the garment industry and uses the Job Shop method to solve the problem. A representation is proposed for the numerical solution of the problem based on a heuristic optimization methods known as Simulated Annealing. Although the algorithm is capable of identifying the ideal solution in some cases, at times solution are proposed that deviate up to 10% from the optimum.