Miracle-dz/UniFAR-FTUs huggingface dataset:
A virtual community question and answer suitability determination model

In this information-explosion era, the quality of collective intelligence is not easy to control. Knowledge demanders are required to invest an amount of time in evaluating the collective intelligence quality of virtual community to acquire correct knowledge. In addition, some knowledge providers might provide poor quality information in this circumstance and overall collective intelligence quality would be affected. The knowledge providers would reduce the willingness to share knowledge. Therefore, this paper develops a virtual community question and answer suitability determination (QASD) model to enhance collective intelligence quality. This proposed model analyzes the Q&A title, Q&A content, and the discussion and employs keyword extraction, article’s core information extraction, article similarity determination and semantic analysis techniques to determine the quality of Q&A, the suitability of Q&A content, and the suitability of Q&A semantics. After that, the integrated suitability score between target question and answer can be obtained and regarded as the reference for knowledge demanders in acquiring correct knowledge in virtual community. In order to demonstrate applicability of the proposed methodology, a web-based system is also established based on the proposed model. Furthermore, a real-world case is applied to evaluate the proposed model. The verification results show that when the system maintains about 600 training data, the indicator performance can be improved to 80% (Recall Rate) and 85% (Accuracy Rate), and the system performance continues to grow with increasing training amount and reaches the stable and better performance level. Hence, the developed system is a high-performance Q&A suitability determination system. As a whole, this paper provides an approach for virtual community to efficiently evaluate the suitability of Q&A.
E‐consultation with pupils: a rights‐based approach to the integration of citizenship education and ICT

This article is based on a pilot study which sought to directly engage pupils in a current government policy initiative using a variety of e‐consultation mechanisms and explores how this innovative use of technology could support citizenship education in schools. Drawing on qualitative data collected from interviews with pupils and teachers it argues that significant educational benefits can be derived from pupil participation in e‐consultation: development of transferable skills; learning for active citizenship; enhancement of schools' citizenship practices. In particular it contends that these educational benefits were due largely to the robust children's rights framework upon which the mechanisms were based. The article concludes by suggesting that the use of information and communications technology in this study was integral to the realisation of the rights‐based approach upon which the e‐consultation strategy was modelled. As such the study demonstrates the potential for symbiosis between children's rights, citizenship education and the applied use of educational technology and provides one model for a more inter‐disciplinary approach to citizenship education.
DESIGN, WORKSPACE ANALYSIS AND INVERSE KINEMATICS PROBLEM OF DELTA PARALLEL ROBOT

The constant-translation workspace, which is the set of all feasible orientations of the mobile platform for a given position, was studied. The design of the robot concerns geometric parameters calculation of the robot so that the moving platform would be found within the given workspace. http://dx.doi. org/10.5755/j01.mech. 17.3. 506
Progressive Accumulative Routing in Wireless Networks

This paper considers a sensor network where relay nodes cooperate in order to minimize the total energy consumption for the unicast transmission of a message from a single source to a single destination. We assume Destination Energy Accumulation, i.e., the destination can accumulate the energy of multiple copies of the message, each of which is too weak to be reliably decoded by it- self, while the relay nodes use a decode-and-forward approach. We propose the Progressive Accumulative Routing (PAR) algorithm, which performs relay discovery, relay ordering and power alloca- tion in a distributed manner so that each relay node only needs in- formation about its neighboring nodes. Simulations verify that the algorithm considerably reduces the total energy consumption, and can be implemented efficiently. Furthermore, it performs close to the optimal DEA route with high probability.
Gradual Fertilization of Case Frames

本稿では, 格フレーム辞書を漸次的に自動構築する手法を提案する. カバレージの高い格フレーム辞書を構築するために, 大規模コーパスから徐々に確からしい情報を抽出する. まず, コーパスを構文解析し, 構文的曖昧性のない述語項構造のみを抽出・クラスタリングすることによって, 1次格フレーム辞書を得る. 次に, 1次格フレーム辞書を用いてコーパスを格解析し, 新たに分かる確実な情報を抽出し, 2次格フレーム辞書を構築する. このように徐々に新たな情報を加えていくことによって, 高次格フレーム辞書を構築する. 結果として得られた格フレーム辞書は, 二重主語構文, 連体修飾の外の関係, 格変化といった複雑な言語現象を解析することを可能にする. 新聞記事26年分, 約2600万文のコーパスから格フレーム辞書を構築し2種類の評価を行った. 1つは, 得られた格フレームを人手で評価するものであり, もう1つは得られた格フレーム辞書を用いた構文・格解析実験による評価である. これらの結果, 本手法の有効性が確かめられた.
AN EFFICIENT TWOFOLD ITERATIVE ALGORITHM OF FE-BI-MLFMA USING MULTILEVEL INVERSE- BASED ILU PRECONDITIONING

It is known that the conventional algorithm (CA) of hybrid flnite element-boundary integral-multilevel fast multipole algorithm (FE-BI-MLFMA) usually sufiers the problem of slow convergence, and the decomposition algorithm (DA) is limited by large memory requirement. An e-cient twofold iterative algorithm (TIA) of FE-BI- MLFMA is presented using the multilevel inverse-based incomplete LU (MIB-ILU) preconditioning in this paper. It is shown that this TIA can ofier a good balance of e-ciency between CPU time and memory requirement. The tree-cotree splitting technique is then employed in the TIA to further improve its e-ciency and robustness. A variety of numerical experiments are performed in this paper, demonstrating that the TIA exhibits superior e-ciency in memory and CPU time to DA and CA, and greatly improves the computing capability of FE-BI- MLFMA.
Children's participation in the design of physical and on screen-intervention strategies to prevent excessive game play

We address the problem of breaking the flow of gaming to prevent excessive game play. Earlier research on immersive experiences suggests that flow, notably the distorted feeling of time and focused attention, is at the heart of the problem. We explore the topic of excessive game play and its effects with a group of game players. This group consisted of 10 children working together to elaborate on the issues mentioned. Group activities included free-word association, interaction re-labelling exercises and group discussions on player-actor relationships and ideal solutions. Children want control of intervention settings; parental interaction is considered mostly inappropriate. Any intervention strategy should ’understand’ the game and anticipate natural moments. Also, children expect interventions to happen gradually. We present a detailed account of the focus group, formulate its outcome in terms of user requirements and discuss the strategies we designed, implemented and evaluated in a user trial. The main focus of the paper is on the process followed during the focus group and the way in which the children? s view and needs provided input to the development of flow breaking strategies. The work confirms that the informant design approach provides effective means to guarantee children? s contribution to the design of interactive systems for children.
Directional 2D functions as models for fast layout pattern transfer verification

As advanced manufacturing processes become more stable, the need to adapt new designs to fully utilize the available manufacturing technology becomes a key technologic differentiator. However, many times such gains can only be realized and evaluated during full chip analysis. It has been demonstrated that the most accurate layout verification methods require application of the actual OPC recipes along with most of the mask data preparation that defines the pattern transfer characteristics of the process. Still, this method in many instances is not sufficiently fast to be used in a layout creation environment which undergoes constant updates. By doing an analysis of typical mask data processing, it is possible to determine that the most CPUintensive computations are the OPC and contour simulation steps needed to perform layout printability checks. Several researchers have tried to reduce the time it takes to compute the OPC mask by introducing matrix convolutions of the layout with empirically calibrated two-dimensional functions. However, most of these approaches do not provide a sufficient speed-up since they only replace the OPC computation and still require a full contour computation. Another alternative is to try to find effective ways of pattern matching those topologies that will exhibit transfer difficulties4, but such methods lack the ability to be predictive beyond their calibration data. In this paper we present a methodology that includes common resolution enhancement techniques, such as retargeting and sub-resolution assist feature insertion, and which replaces the OPC computation and subsequent contour calculation with an edge bias function based on an empirically-calibrated, directional, two-dimensional function. Because the edge bias function does not provide adequate control over the corner locations, a spline-based smoothing process is applied. The outcome is a piecewise-linear curve similar to those obtained by full lithographic simulations. Our results are analyzed from the point of view of runtime and matching with respect to a complete verification process that uses full mask data preparation followed by production-quality contour simulations under a variety of process variations, including perturbations to focus, mask bias and exposure. One of the main concerns with using an empirical model is its ability to predict topologies that were not part of the original calibration. While there is indeed a dependency on the model in regard to the data used for calibration, the results indicate that this dependency is weak and that such models are able to provide sufficient accuracy with much more tolerable computation times.
Object Annotation Based on Middle Semantic Manifold

A novel bionic, middle semantic object annotation framework is presented in this paper. Moreover, we build the model based on the perception as defined by the human visual system. At first, the super-pixel is used to represent the images, and conditional random field could label each of the super-pixels, which means annotating the different classes of objects. In next step, on the basis of the previous result, image pyramid is used to represent the image, and get the sub-region of some objects of the same class. After extracting descriptor to represent the patches, all the patches are projected to a manifold, which could annotate the different views of objects from the same class. Experiments show that the bionic, middle semantic object annotation framework could obtain superior results with respect to accuracy.
Dataspace: an automated visualization system for large databases

DataSpace is a multi-platform software system for easily visualizing relational databases using a set of flexible 3D graphics tools. Typically, five attributes are selected for a given visualization session where two of the attributes are used to generate 2D plots and the other three attributes are used to position the 2D plots in a regular 3D lattice. Mouse-based 3D navigation with constraints allows the user to see the 'forest and the trees' without getting 'lost in space'. DataSpace uses the Standard Query Language to allow connection popular database systems. DataSpace also incorporates a variety of additional tools e.g., aggregation, data 'drill down', multidimensional scaling, variable transparency, query by example, and display of graphics from external applications. Labeling of node contents is automatic. 3D strokefonts are used to provide readable yet scalable text in a 3D environment. Since interactive 3D navigation is essential to DataSpace, we have incorporated several methods for adaptively reducing graphical detail without losing information when the host machine is overloaded. DataSpace has been sued to visualized databases containing over 1 million records with interactive performance. In particular, large databases containing stock price information and telecommunications customer profiles have been analyzed using DataSpace.
Ensuring e-business success by learning from ERP failures

Although enterprise resource planning may be the toughest project you've ever attempted, doing it right will be the key to implementing a successful e-business. Based on his own experiences with ERP projects in the 1990s, the author found that for your project to succeed, you must prevent problems in the following high-priority areas: e-business strategy; project management approaches; complex technology and systems; and end-user resistance. A small investment in understanding, analyzing, tracking, and preventing these major problems should pay off well, given that most such problems are common, expected, avoidable, and detectable early. One viable approach to reducing the likelihood of failure is to identify the crucial risks at each point of the project life cycle, then build plans to address them before they become real problems. The author found this technique useful in evaluating ERP projects and fully expect it to be useful for evaluating e-business system projects as well.
A modular and scalable ATM switch using shared buffer architecture

Advances in VLSI technology have brought us completely new design principles for the high-performance switching fabrics including ATM switches. From a practical point of view, port scalability of ATM switches emerges as an important issue in the switch design. In this paper, we propose a practically implementable large scale ATM switch by, integrating time-division and space-division switch architectures. We present a scalable shared buffer type switch and its expansion method.
New Policy of Maximal Frequent Itemsets in Data Stream Mining

According to the features of data streams and combined sliding window, a new algorithm A-MFI which is based on self-adjusting and orderly-compound policy for mining maximal frequent itemsets in data stream is proposed. This algorithm which is based on basic window updates information from data stream flow fragments and scans the stream only once to gain and store it in frequent itemsets list when the data stream flows. The core idea of this algorithm: construct self-adjusting and orderly-compound FP-tree, use mixed subset pruning techniques to reduce the search space, merge nodes which has equal minsup in the same branch and compress to generate the orderly-compound FP-tree to avoid superset checking when mining maximal frequent itemsets. The experimental results show that the algorithm has higher efficiency in time and space, and also has good scalability.
Gender and other survival predictors in patients with metastatic melanoma on Southwest Oncology Group trials

Some studies have suggested that women with metastatic malignant melanoma have a better survival rate than men. However, little is known about the effect of gender on survival in combination with other clinical variables and treatment variables. Thus, an analysis of 813 eligible patients from 15 consecutive Southwest Oncology Group (SWOG) Phase II or III trials evaluating chemotherapy or chemoimmunotherapy for metastatic melanoma was performed.
eLingua Latina: Designing a classical-language e-learning resource

eLingua Latina is a computer-based reference and exercise-rehearsal resource designed to facilitate the learning of Latin. The design was undertaken as an exploration into Computer Assisted Language Learning (CALL) to create a self-learning reference tool helpful to the translation of latin prose and extendible to languages other than Latin and English. It uses the Whitaker Latin and WordNet English datasets. The work is currently at a prototypical, mid-development stage, before controlled and clinical testing and midway in data input, refinement and verification. The purpose of this paper is to advise on the existence and nature of the project, to elicit any expressions of interest in test participation, and to seek partners with linguistic and multilingual text-to-speech specialisms who might be interested in the program's extensibility to their domains. This paper begins by justifying Latin as a starting point for its discussion of issues affecting the design of multimedia, multilingual resources generally. It describes the nature and functionality of the eLingua Latina prototype, what it can do and what it cannot do but would like to try, and its potential as an experimental testbed for CALL research into the design of e-Learning reference tools.
Automatic Assessments of Code Explanations: Predicting Answering Times on Stack Overflow

Users of Question & Answer websites often include code fragments in their questions. However, large and unexplained code fragments make it harder for others to understand the question, thus possibly impacting the time required to obtain a correct answer. In this paper, we quantitatively study this relation: We look at questions containing code fragments and investigate the influence of explaining these fragments better on the time to answer. We devise an approach to quantify code explanations and apply it to ~300K posts. We find that it causes up to a 5σ (single-tail significant) increase in precision over baseline prediction times. This supports the use of our approach as an `edit suggestion': Questions with a low score could trigger a warning suggesting the user to better explain the included code.
Ask a Librarian

Abstract Florida's Ask a Librarian service (http://www.askalibrarian.org) brings virtual reference to users at their moment of need via the Internet. Ask a Librarian is a growing service with 76 participating libraries including public, school, four-year, and community college libraries. The following article describes how Ask a Librarian was developed from a concept to the successful program it is today.
Communication with Environment in Alvis Models

Alvis is a modelling language defined for the design and a formal verification of embedded systems. An Alvis model is a system of agents that usually run concurrently, communicate one with another, compete for shared resources etc. Due to the fact that an embedded system usually collects inputs that come from its environment and provides outputs that go to the environment it is necessary to provide a mechanism to describe such a communication. In contrast to another formal languages used to model embedded systems it is not necessary, using Alvis, to design such an environment as a part of a model. The paper deals with the problem of modelling a communication with an embedded system environment with Alvis. Keywords—Alvis modelling language, embedded systems, formal verification, communication with environment.
A line-based HDR sensor simulator for motion artifact prediction

Modeling only a HDR’s camera’s lens blur, noise and sensitivity is not sufficient to predict image quality. For a fuller prediction, motion blur/artifacts must be included. Automotive applications are particularly challenging for HDR motion artifacts. This paper extends a classic camera noise model to simulate motion artifacts. The motivation is to predict, visualize and evaluate the motion/lighting flicker artifacts for different image sensor readout architectures. The proposed motion artifact HDR simulator has 3 main components; a dynamic image source, a simple lens model and a line based image sensor model. The line based nature of image sensor provides an accurate simulation of how different readout strategies sample movement or flickering lights in a given scene. Two simulation studies illustrating the model’s performance are presented. The first simulation compares the motion artifacts of frame sequential and line interleaved HDR readout while the second study compares the motion blur of an 8MP 1. 4μm, 5MP 1. 75μm and 3MP 2. 2μm image sensors under the same illumination level. Good alignment is obtained between the expected and simulated results.
Multiresolution modulation for efficient broadcast of information

Methods for reliable transmission of information, especially digital television, are considered. In the broadcast channel, several different receiver configurations and channel conditions make an optimization of the channel coding practically impossible. To efficiently utilize available spectrum and to allow robust reception in adverse channel conditions, joint source- channel coding is applied. This is achieved utilizing multiresolution modulation combined with unequal error protection in the channel coding part and data prioritization in source coder. These design parameters for the joint system are considered. The emphasis of this paper is on the modulation part. Multiresolution 32 QAM is presented. Simulations show good performance in the additive white gaussian noise channel and, moreover, results in multipath fading channel are encouraging as far as high priority level of the data is considered.
Generalized hidden Markov models for land mine detection

In this paper we describe a possible solution to the rigid Gaussian mixture problem of a continuous hidden Markov model (CHMM) in the context of landmine detection. The main idea of the solution is replacing the Gaussian representation of the feature distribution by a function that uses knowledge about real data distribution (sigmoidal in our case). The main advantage of this approach is that it is faster than the CHMM while maintaining the same performance, fact that can be critical in real-time systems. We use the CHMM as a benchmark for the performance of the newly developed algorithm.
On-line patient tracking-a new approach to the registration problem in image-guided surgery and radiotherapy of the head

Image-guided systems for surgical and radiotherapeutic procedures in the region of the head require a method to correlate the diagnostic image data and the corresponding patient site of pathology. Considering that patient movements can occur as rotational and translational motions, detection and correction of such movement errors during the acquisition of the images is a basic prerequisite for accurate treatment. For that reason, we developed a new image registration technique based upon on-line tracking of a patient's head. It has application primarily for surgery and radiotherapy in the region of the head. The method provides non-invasive active 3D patient registration for correction of movements during imaging and continuous update of the patient's head position during surgery or for optimal and reproducible positioning of the patient during the course of radiotherapy. The patient motion correction applies the rigid body model to register the images using feature correspondence. The method is described and the results of the first experiments that were performed to evaluate its accuracy and reliability in a plastic skull model and in patients are provided. Advantages and disadvantages of the method are discussed.