Miracle-dz/UniFAR-FTUs huggingface dataset:
Forecasting the next 10 years in information behavior research: A fish bowl dialogue

O n the afternoon of the third day of the 2009 ASIS&T conference in the drizzly downtown of Vancouver, British Columbia, Special Interest Group/Information Needs, Seeking and Use (SIG/USE) convened a session celebrating its 10th anniversary. Following brief panel presentations on the history of both the SIG itself and information behavior research, the bulk of this session was devoted to an open discussion dedicated to " Forecasting the Next 10 Years for Information Behavior Research. " Although there were four " initial discussants " and 15 designated " discussants, " the session used the fish bowl technique to ensure that all attendees, whether named in the program or not, had a chance to weigh in and participate. The result was a lively discussion including many voices and visions of what the future should hold for information behavior research (for example, see Figure 1. Information Behavior by Karen Fisher and Heidi Julien). The participants ranged from freshly-minted Ph.D.s to long-established and respected researchers to those involved in professional practice. The on-site participants were also joined by seven off-site participants who attended the session through the Second Life virtual environment. Statements from the 20 or so participants, who spoke from places at the center of the fish bowl, included calls to improve the capability and usability of search engines and other information systems, arguments in favor of focusing on particular user groups (particularly children) and impassioned pleas that we remember the centrality of the user in information provision. This article does not attempt to summarize in any degree of detail or accuracy what was said during the session. Rather, it presents reflections by the authors (two of the session's initial discussants) on some of the themes
Enhancing the Indexing Vocabulary of the Dewey Decimal Classification

Abstract This work explores the possibility of using unrestricted machine-readable full text to augment the indexing vocabulary of the Dewey Decimal Classification and make it more accessible to end users. It is based on the hypothesis that contemporary text is more likely to contain up-to-date vocabulary than a reference work that must undergo a rigorous editorial review process.
Notice of Retraction Performance Analysis of Improved TCP over Wireless Networks

Various transmission control protocol (TCP) improvement schemes have been proposed to improve TCP performance over complex wireless networks. Some of them consider reducing the ACK packets, such as TCP-DBA. However, this scheme doesn't perform so well in wireless network with high packet delay and multi-hop. In this paper, a new enhanced scheme has been proposed to improve TCP performance in such network. In TCP-LBA, TCP Receiver will reply ACK packet only when TCP Sender has finished sending all pieces within the same TCP Window and there are packets lost during transmission. This scheme greatly reduces the ACK packets number, eliminates the bad influence of delayed ACK packets on the efficiency of the data transportation and keeps transporting effective. Simulation results show that this proposed scheme could significantly improve TCP throughput and reduce delay over wireless networks, and it outperforms than TCP-DBA in wireless network with high packet delay and multi-hop.
An HMM-based Exome Peak-finding package for RNA epigenome sequencing data

Summary form only given. Methylated RNA Immunoprecipatation combined with RNA sequencing (MeRIP-Seq), first developed in two recent studies, is revolutionizing the de novo study of RNA epigenome at a higher resolution. However, this new technology poses unique bioinformatics problems that call for novel and sophisticated statistical computational solutions. Here, we introduce HEP, a Hidden Markov Model (HMM)-based Exome Peak-finding algorithm for predicting transcriptome methylation sites in MeRIP- Seq data. In contrast to ExomPeak, our previously developed MeRIP-Seq analysis software package, HEP is a model-based approach, which enables rigorous statistical inference. To demonstrate the utility of HEP, it was evaluated both on a simulated data set and a real MeRIP-Seq data for m6A methylation. HEP demonstrates a higher sensitivity and specificity in both the simulation test and the real m6A data. In addition, the peaks were further confirmed by biological enrichment and sequence motifs.
The Role of 2-D and 3-D Task Performance In the Design and Use of Visual Displays

Recent advances in computerized graphics capabilities have led to increased development and use of 3-D displays. In this paper we will discuss a survey of results from the visual perception literature that compares 3-D and 2-D task performance. The basic trend of this research suggests that designers of visual displays must recognize that the internal representations observers extract from 3-D displays will be distinctly different, and perhaps more qualitative, than the computer representations or models used to generate these displays. Finally, the surveyed literature indicates that crucial information in 3-D displays should not be encoded as differences in magnitudes of depth, orientation, or curvature. Instead designers should try to encode important task dimensions within more qualitative 3-D distinctions such as ordinal depth, deviations from co-planarity, and the presence of flat versus curved surfaces.
Design and Implementation of Contact Control Smart Phone Application

In the recent years, as smart phones popularized, the number of people who use IMS (instant messaging service) and SNS (social network service) rapidly has increased as the usage of SMS (short message service) relatively decreased. That is why this thesis suggests a contact control service based on Android. It contains an inducing function that calls acquaintances, which were given a score based on the level of familiarity from saved contacts and call logs. And it provides an overall ranking of call log in order to grasp frequently called people. This developed system was tested on Samsung Galaxy S2 and LG Optimus LTE / Android 2.2 which were the main smart phone models. Key words: Social Network, Android, User Connection Management
Blind source separation of the HyMap hyperspectral data via canonical correlation analysis

In hyperspectral data analysis, blind separation of the target and background can be considered as a pre-processing step in the target detection process. Blind Source Separation (BSS) techniques can be used when there is no prior information on the scene for image understanding. Previously, Principal Component Analysis and Independent Component Analysis methods are used as blind techniques for the analysis of hyperspectral data. In this study, we propose a blind analysis methodology based on Canonical Correlation Analysis (CCA) for the analysis of hyperspectral data sets. CCA is a multivariate method of analysis for the exploration of the data structures which extremize the correlations between two data sets. The hyperspectral data analyzed in this study is the HyMap sensor data which is available in the Target Detection Blind Test website. We produce two data sets out of the HyMap data cube which are later subjected to CCA. In the creation of these data sets, two different approaches are used. In first case, the HyMap data cube is simply divided into two sub-cubes by simple spectral separation. As another approach, the second data cube is derived from the HyMap data by a spatial filtering. In both cases, two data sets are analyzed via CCA and canonical variates of these data sets are obtained. The scene components are obtained from images expressed by the canonical variates obtained via CCA. The CCA methodology and its use as a blind analysis tools is presented on the HyMap data.
Subjacency as a processing phenomenon

Abstract In this study we investigated the hypothesis that standard subjacency effects in so-called “wh-islands” are not necessarily due to an innate syntactic constraint, i.e. a problem of language competence, but rather to limits on the human Sentence processor, i.e. a problem of performance. We did so by gathering global acceptability judgements and by measuring event-related brain potentials (ERPs) in response to both yes/no- and wh-questions containing embedded that-, if- and wh-clauses. The embedding of any one of these clause types within a yes/no-question typically results in a well-formed sentence. The well-formedness of wh-questions, on the other hand, depends in large part on the type of embedded clause into which a syntactic dependency is formed: dependencies into embedded that-clauses are usually considered grammatical, while dependencies into embedded if-clauses are considered marginal and dependencies into wh-clauses (“wh-islands”) ungrammatical. We predicted that these differences in gramm.
Mapping strategies for gestural and adaptive control of digital audio effects

Abstract This paper discusses explicit mapping strategies for gestural and adaptive control of digital audio effects. We address the problem of defining what is the control and what is the effect. We then propose a mapping strategy derived from mapping techniques used in sound synthesis. The explicit mapping strategy we developed has two levels and two layers for each level: the first level is the adaptive control with a feature combination layer and a control signal conditioning layer; the second level is the gestural control layer. We give musical examples that illustrate the interest of this strategy.
Scaling Wireless Uplink Capacity with Multi-User Beamforming

Due to the fact that the wireless spectrum is limited but the wireless demand can grow unlimited, how to improve the wireless capacity becomes one of the hot topics in wireless network field. In this paper, we focus on the scenario of busy wireless environment, and present a protocol with multiple user beamforming. The protocol enables a network to scale its uplink throughput with the number of access points. Theoretical and experimental results show that our protocol have higher uplink throughput compared with 802.11. Moreover, our protocol is the first method that shows that linear scaling of uplink throughput with the number of access points is possible.
Work Domain Analysis Applied to Medical Diagnosis

Few studies have described the cognitive components that characterize the diagnostic process. This article illustrates the use of work domain analysis to create a functional depiction of diagnosis. The resulting abstraction-decomposition space clarifies the medical diagnostician’s work domain and provides a glimpse into the fundamental cognitive features of diagnosis. To facilitate comprehension of the abstraction-decomposition space’s portrayal of diagnosis, features of a generalized depiction of diagnosis and the abstraction-decomposition space were graphically coded to communicate areas of similarity. Limitations, suggestions for future work, and future applications of this work to reduce diagnostic error are provided.
In Support of a Functional Definition of Interaction

Abstract A common theme in the distance education literature is that delivery technologies with the potential for real‐time interactivity will improve both the image and practice of distance education. Although there appears to be a growing acceptance of a causal relationship between system interactivity and instructional interaction, neither concept has been clearly or functionally defined. This article discusses several systems models and relates them to the contexts of instructional delivery, instructional design, instructional theory, and learning theory in an attempt to establish conceptual parameters for the function of interaction.
Simultaneous broadcasting of analog FM and digital audio signals by means of precanceling techniques

A reliable method for broadcasting digital audio simultaneously with existing analog FM radio is presented. According to this linear combining scheme, the digital data sequence is adaptively modulated so as to achieve high data rates while ensuring that the interference incurred on the analog FM signal remains at acceptably low levels. The digital transmission is based on adaptive orthogonal frequency division multiplexing. Implementable, near optimum algorithms for insertion of the maximum number of carriers at all times are presented, which incur negligible distortion on the analog FM signal. The digital receiver response of the analog FM signal (known to the transmitter) is computed and canceled from the aggregate signal prior to signal transmission. As a result of this precanceling process the digital transmission is free from analog FM interference. We present simulation results on acoustic signals where the average digital data use up to 50% of the 200 kHz power spectrum with digital signal power levels 25-35 dB below the analog signal. A control channel is used for the positions of the modem carriers.
Linear features adaptive extraction from remote sensing image based on beamlet transform

Extraction of linear features is a classical problem in Remote Sensing image processing. In the last twenty years, it is still difficult to extract linear features embedded in extremely high noise or when the SNR (signal to noise) is low. In this paper, an adaptive algorithm based on beamlet transform is proposed to extract linear features from remote sensing image, which can detect lines with any orientation, location and length, the parameter can be adaptively determined by histogram of beamlet energy function distribution to avoid subjective setting. The experimental results show that the method proposed extract linear features accurately even from high noise remote sensing image and has a better performance. It can be suited to remote sensing images processing and in practice it has surprisingly powerful and apparently unprecedented capabilities.
Connecting the dots: assessing the accuracy of geographic profiling software

Purpose – The purpose of this paper is to conduct an independent analysis of all existing geographic profiling software packages to determine if any one is more accurate than the others or if any of the software systems are any more accurate than simple spatial distribution strategies at locating the home base of serial offenders.Design/methodology/approach – An analysis was conducted of all existing geographic profiling software as well as three spatial distribution methods of profiling. Differences in accuracy were assessed using four different methods; dichotomous profile accuracy, simple error measurement, profile error distance, and average top profile area.Findings – Results indicate that not only are the different profiling software systems no more accurate than the spatial distribution control methods, but that accuracy in general was marginal at best. In addition results indicated that certain crimes, such as commercial robbery, were particularly difficult to profile and that the number of crimes.
The Impact of Practitioner Presentations on Student Attitudes About Accounting

Abstract Accounting professors and admissions personnel are keenly aware that the number of college students majoring in accounting has declined sharply over the last 10 or 15 years. The authors of this article argue that carefully planned practitioner presentations in the first introductory accounting course can help stem this decline. They administered pre- and postcourse questionnaires to four sections of the Introductory Accounting I course (c. 140 students). In two of the four sections of the course, students were exposed to two 30-minute presentations by two different groups of accounting practitioners. The data revealed that students who attended presentations displayed far more positive attitudinal changes toward accountants, the accounting profession, and careers in accounting.
UPC Language Specifications V1.1.1

Acknowledgments Many scientists have contributed to the ideas and concepts behind these specifications. They are too many to mention here, but we would like to cite the contributions of David who have contributed to the initial UPC language concepts and specifications. We also would like to acknowledge the role of the participants in the first UPC workshop, held in May 2000 in Bowie, Maryland, and in which the specifications of this version were discussed. In particular we would like to acknowledge the support and participation of Compaq, Cray, HP, Sun, and CSC. We would like also to acknowledge the abundant input of Kevin Harris and Sébastien Chauvin and the efforts of Lauren Smith. Finally, the efforts of Brian Wibecan and Greg Fischer were invaluable in bringing these specifications to the final (version 1.0) state.
Multicast-Favourable Max-Min Fairness – The Definition and How to Comply

Abstract In scenarios where many receivers simultaneously are interested in the same data, multicast transmission is more bandwidth efficient than unicast. Consequently, the benefit of multicast transmission is growing with the rising interest in video-streaming services. To prioritize multicast flows and thereby create an incentive for the use of multicast transmission might therefore make sense. Research in this area is usually denoted multicast fairness. In this paper, we present a general definition of multicast fairness, named multicast-favourable max-min fairness (MFMF), which specifies the properties a global bandwidth allocation should possess to be considered fair to both unicast and multicast flows. A description of how the definition can be used to evaluate the fairness of other bandwidth allocations is also included. Further, two bandwidth-allocation policies that aim at producing allocations close to fulfilling the MFMF definition are presented.
A text-independent speaker recognition method robust against utterance variations

The authors describe a VQ (vector-quantization)-based text-independent speaker recognition method which is robust against utterance variations. Three techniques are introduced to cope with temporal and text-dependent spectral variations. First, either an ergodic hidden Markov model or a voiced/unvoiced decision is used to classify input speech into broad phonetic classes. Second, a new distance measure, the distortion-intersection measure (DIM), is introduced for calculating VQ distortion of input speech compared to speaker-independent codebooks. Third, a normalization method, talker variability normalization (TVN), is introduced. TVN normalizes parameter variation taking both inter- and intra-speaker variability into consideration. The system was tested using utterances of nine speakers recorded over three years. The combination of the three techniques achieves high speaker identification accuracies of 98.5% using only vocal tract information and 99.0% using both vocal tract and pitch information. <<ETX>>
Simulation-based performance analysis and optimization of electronics assembly equipment

Due to the high degree of automation in modern printed circuit board (PCB) assembly, production planning and scheduling in this industry relies heavily on the accuracy of the underlying models of the automated machinery. In this paper, the derivation of such mathematical models is exemplified for one of the most wide-spread machine types (the so-called chip shooter). Moreover, a simulation system for practical use in the electronics assembly is presented which incorporates various types of assembly machines. It serves as a tactical production planning aid as well as a test field for the analysis of the kinematic processes of PCB assembly machines. Such simulation, tailored to the specifics of a production environment, gives reliable estimates of the achievable production volume. Considerable deviations between the performance figures provided by the machine supplier and the actual result can thus be explained, and potential assembly system configurations be compared by drawing on reliable measures. Since the equipment is modelled at a level which takes precise account of its specific kinematics, a detailed analysis of the operations of the individual machine can also be performed revealing potential bottlenecks in its design. These insights are used to optimize machine design and control. Methods based on graph theory as well as on modern numerical search algorithms have been developed for the latter purpose. They lead to considerable performance improvements.
A CMOS IF transceiver with reduced analog complexity

Signal processing techniques are used to minimize the analog complexity in an intermediate-frequency (IF) transceiver. The receiver digitizes the IF signal directly by subsampling and complex bandpass delta-sigma modulation. A new loop filter is proposed for use in the complex delta-sigma. Digital demodulation and filtering are then used to extract the baseband information. The transmit section converts baseband to IF through an all-digital signal path. A bandpass delta-sigma modulator quantizes the digital IF signal to 1 bit in order to simplify the IF output digital-to-analog converter/driver. The output driver provides analog finite impulse response filtering for quantization noise.
Parallel Computing for Long‐Time Simulations of Calcium Waves in a Heart Cell

Calcium waves are modeled by parabolic partial differential equations, whose simulation codes contain Krylov subspace methods as computational kernels. This paper presents GPU‐based parallel computations for the conjugate gradient method applied to the finite difference discretization of a Poisson equation as prototype problem for the computational kernel. The CUDA algorithm tests the three memory systems of global memory, texture memory, and shared memory of a CUDA‐enabled GPU. Due to the caching mechanism and coalesced read/write operations, the CUDA algorithm using global memory and single precision floating point numbers outperforms algorithms accessing texture memory and the shared memory. (© 2012 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Bibliometrics/Theory, Practice and Problems

This article presents the theory behind modern evaluative bibliometric techniques at three levels. Policy applications, which characterizes the scientific and technological output of nations or regions; strategic analyses, which deals with articles and patents at the level of a university or company; and tactical analyses, which addresses questions concerning a single subject. The article explains the newer techniques that have been developed at each level, as well as the more important limitations.
A Meta-Analysis of the Effects of Feedback in Computer-Based Instruction

A quantitative research synthesis (meta-analysis) was conducted on the literature concerning the effects of feedback on learning from computer-based instruction (CBI). Despite the widespread acceptance of feedback in computerized instruction, empirical support for particular types of feedback information has been inconsistent and contradictory. Effect size calculations from twenty-two studies involving the administration of immediate achievement posttests resulted in a weighted mean effect size of . 80. Also, a mean weighted effect size of . 35 was obtained from nine studies involving delayed posttest administration. Feedback effects on learning and retention were found to vary with CBI typology, format of unit content and access to supplemental materials. Results indicate that the diagnostic and prescriptive management strategies of computer-based adaptive instructional systems provide the most effective feedback. The implementation of effective feedback in computerized instruction involves the computer's ability to verify the correctness of the learner's answer and the underlying causes of error.