Miracle-dz/UniFAR-FTUs huggingface dataset:
A Linear Prediction Rule Based on Ensemble Classifiers for Non-Genotoxic Carcinogenicity

This article presents a novel approach for developing a linear prediction rule to predict the non-genotoxic carcinogenicity potential of a new compound in the drug development pipeline. We construct the approach using data from 24-hour microarray experiments on rats treated with the compound. This method was developed to address an actual problem that we were presented with by scientists in mechanistic toxicology. Short-term, preclinical assays for non-genotoxic carcinogenicity, a toxicity commonly observed in long-term rodent carcinogenicity studies, have proven difficult to develop. A quick and early preclinical assay, such as this, is of particular interest and urgency. The linear prediction rule is derived using an Ensemble Linear Discriminant classifier. This is a hybrid approach which leverages the advantages of ensemble approaches for addressing over-fitting (a problem endemic to microarray data), and that of LDA for interpretability. In a limited comparison with some other classifiers, including random forest, we show that our approach has good predictive performance in addition to being interpretable.
Performance visualisation in a portable parallel programming environment

In order to obtain the highest possible performance from programs running on massively parallel machines it is essential to identify precisely where and when computational resources are consumed during their execution. A number of performance visualisation tools have evolved to meet this need for particular systems but they are often not portable to other machines. We regard portability as crucial to the widespread acceptance and use of such tools, and have investigated several approaches to achieving it. Each approach has been based on the public domain ParaGraph tool, which enables trace data collected during a program's execution to be viewed from various different visual perspectives. One approach is for programs to use the portable instrumented communication library PICL, which directly generates trace data in the appropriate format. Alternatively, trace files produced by applications using other libraries can be converted into ParaGraph format using trace filter programs. In this paper we report on an implementation of PICL for transputers and on trace filters we developed for the PARMACS and Express libraries. We also describe ongoing work within the PPPE Esprit project to integrate ParaGraph into a portable parallel programming environment based on the PCTE portable common tool environment.
Developing an Entrepreneurship Game for Teaching and Research

An entrepreneurship game that is based on solid theory has significant potential to inform entrepreneurship research and enhance classroom experiences. However, developing a game that succeeds at both teaching and research is a difficult task This article describes one such attempt, which has achieved initial indications of success on both counts. The article describes the game and its theoretical underpinnings. It discusses the value of the game for teaching and provides an example of its research potential Lessons learned while developing the game are discussed.
Unambiguous Sine-Phased BOC (kn,n) Signal Acquisition Based on Combined Correlation Functions

Galileo and GPS have been developing their new signals in recent years. Multiplexed Binary Offset Carrier (MBOC) is the final implementation of Galileo E1 and GPS L1C, which is the multiplexing of BOC(1,1) and BOC(6,1). Therefore, it is helpful to satisfy the demand that the new signals must be compatible with GPS BPSK signal. BOC(kn,n) modulation will provide better track performance and higher positioning accuracy. However, the main drawback of the BOC modulated signal is that its autocorrelation has multiple side peaks around the main peak. This paper will focus on a family of signals: sine-phased BOC(kn,n). We are trying to explore a new method to cancel the side peaks of BOC(kn,n) autocorrelation, making use of two kinds of correlation functions. One is the correlation of the incoming signal and the sine-phased BOC(kn,n) modulated spreading code(PRN code multiplied by subcarrier), and the other is the correlation of the incoming signal and the PRN code only. Two kinds of correlation function are separated into several sub-correlations. Sub-correlations have less side peaks which are in different code delays. Corresponding parts of two sub-correlations will be combined to cancel the side peaks separately, and finally the new function without side peaks will be acquired after several correlations added together. Simulation results will be given. It is shown that the proposed method is contributed to the side peaks cancellation for unambiguous sine-phased BOC (kn, n) signal acquisition.
Integration of microscopic holograms based on view compensation

Digital holography is a 3D imaging technology that provides phase information. It has been used for microscopy in many applications as 3D surface recognition, biophotonics and so on. However, it is not easy to obtain accurate information when objects have right angle shapes and measured vertically. To make ease the condition an object is rotated to obtain 3D information in trading off some shape view, but if several holograms are taken for the same object at different views the trade-off information can be reconstructed by topographic compensation. This paper suggests a method of integrating microscopic holograms using view compensation. View compensation is processed by feature extraction and object motion compensation.
SKEW NORMAL DISTRIBUTION AND THE DESIGN OF CONTROL CHARTS FOR AVERAGES

The paper develops two new control charts and process capability ratios based on the skew normal distribution to monitor the process average and evaluate the process capability of non-normal data. Both control charts reduce to Shewhart-type control charts when the underlying distribution of quality characteristic is symmetric. A simulation study is conducted to compare the performances of the proposed control charts with those of existing control charts. Simulation results indicate that considerable improvement over those of existing control charts can be achieved when the proposed control charts are used to monitor the process average of non-normal data. Two examples are presented for illustration.
New false color mapping for image fusion

A pixel based colour mapping algorithm is presented that produces a fused false colour rendering of two gray level images representing different sensor modalities. The result-ing fused false colour images have a higher information content than each of the original images and retain sensor-specific image information. The unique component of each image modality is enhanced in the resulting fused colour image representation. First, the common component of the two original input images is determined. Second, the common component is subtracted from the original images to obtain the unique component of each image. Third, the unique component of each image modality is subtracted from the image of the other modality. This step serves to enhance the representation of sensor specific details in the final fused result. Finally, a fused colour image is produced by displaying the images resulting from the last step through respec-tively the red and green channels of a colour display. The method is applied to fuse thermal and visual images. The results show that the colour mapping enhances the visibility of certain details and preserves the specificity of the sensor information. The fused images also have a fairly natural appearance. The fusion scheme involves only operations on corresponding pixels. The resolution of a fused image is therefore directly related to the resolution of the input images. Before fusing, the contrast of the images can be enhanced and their noise can be reduced by standard image processing techniques. The colour mapping algorithm is computational simple. This implies that the investi-gated approaches can eventually be applied in real time and that the hardware needed is not too complicated or too voluminous (an important consideration when it has to fit in an aeroplane for instance).
Developing digital portfolios: investigating how digital portfolios can facilitate pupil talk about learning

The Digital Portfolio Project at Newcastle University aimed over one year (2002/2003) to support teachers in producing, storing and accessing assessment portfolios of learner’s work using information and communications technology (ICT). This paper draws on evidence of pupil views collected as part of 14 teacher‐led case studies. The teachers all approached the task of developing digital portfolios in different ways and the variety of end products was large; however, the common result was the value placed on using the portfolio as a tool for reflection and celebration of children’s learning. As part of the data collection teachers were encouraged to gather pupil views about the digital portfolio learning process. These comments provide an interesting and surprisingly analytical perspective of the research and learning process not commonly considered in the academic community. This paper documents the pupils’ views and uses them to review the strength of the digital portfolio process and the benefits of using it in the primary classroom.
VLSI module for high-performance multiply, square root and divide

A high-performance VLSI architecture to perform multiply-accumulate, division and square root operations is proposed. The circuit is highly regular, requires only minimal control and ean be pipelined right down to the bit level. The system can also be reconfigured on every cycle to perform any one of these operations. The gate count per row has been estimated at (27n+70) gate equivalents where n is the divisor wordlength. The throughput rate, which equals the clock speed, is the same for each operation and is independent of the wordlength. This is achieved through the combination of pipelining and redundant arithmetic. With a 1.0 mu m CMOS technology and extensive pipelining, throughput rates in excess of 70 million operations per second are expected. >
Finding service paths in a media service proxy network

With the deployment of multimedia service proxies at different locations in the networks, it is possible to create an application-level media service proxy network. Multimedia sources and clients will then be able to connect to this network, and create customized, value-added, and composite media service delivered by one or more proxies in the media service proxy network. In this paper, we focus on the problem of finding multimedia service path in the media service proxy network. Our goal is to find the best path with respect to end-to-end resource availability for each service path request. Our solution includes (1) a mechanism to monitor and propagate resource availability information in the media service proxy network and (2) an algorithm to find the best service path based on the resource monitoring results. Its main features include: (1) the resource monitoring mechanism provides reasonable accuracy and stability, while incurring controlled overhead; (2) the service path finding algorithm finds the best path for each service path request, and achieves high overall success rate among all requests; and (3) it is an application-level solution, and does not require changes to the lower-level network infrastructure.
Character recognition by context-dependent transformations

This paper records an investigation of a character-recognition method applicable to hand-printed numerals. The technique employed may be characterised as a feature-detection method which utilises a decision tree to reduce the data to a decodable form. The data, consisting of lines and enclosures, are classified into labelled categories by a process which results in the formation of a one-dimensional symbol string. This string is then reduced to a decodable form by sets of context-dependent transformations. Data obtained by computer simulation are presented, indicating the ability of the method to recognise machine- and handprinted numerals.
Designing and exploiting small multimedia corpora for autonomous learning and teaching

The use of corpora in the second-language learning context requires the availability of corpora which are pedagogically relevant with regard to choice of discourse, choice of media, annotation and size. Here I describe a pedagogically motivated corpus design which supports a direct and efficient exploitation of the corpus by learners and teachers. One of the major guidelines is Widdowson’s (2003) claim that the successful use of corpora requires a learner’s (and teacher’s) ability to ‘authenticate’ the corpus materials. In line with this, I argue for the development of small and pedagogically annotated corpora which enable us to combine two methods of analysis and exploitation to mutual benefit: (1) a corpus-based approach (i.e. ‘vertical reading’ of e.g. concordances), which provides patterns of language use; and (2) a discourse-based approach, which focuses on the analysis of the individual texts in the corpus, and of linguistic means of expression in relation to their communicative (situational) and cultural embedding. To illustrate my points, I use a small multimedia corpus of spoken English which is currently being developed as a model corpus with pedagogical goals in mind.
Evaluation of Image Quality using Monte Carlo Simulation in Digital Mammography System

Forthepurposeofearlydiagnosisofthebreastcancer,theattentiononthescreening mammographyhasbeenincreasingwithsupplyofdigitalmammographydaybyday.Image qualityisdecidedbytargetmaterialsandfiltercombinations.Optimizedselectionbyaglandular densityandathicknessisneeded,becausethesecombinationschangex-rayspectrumandeffect toimagequality.Thepurposeofthisstudy istofind outoptimized targetand filter combinationsthroughtheevaluationofquantitativeimagequalityandtosuggestmeanswhich minimizepatientdosethroughMCNPX.Inresults,spatialfrequencyresolutionevaluationwhich isquantitativeimagequalityevaluationmethod,MTF,NPS,DQEshowsthatwehavetoselect Mo/MocombinationsorMo/Rhcombinationswhencompressedbreastisthin.butincaseof thatwhencompressedbreastisthick,wehavetoselectRh/RhcombinationsorW/Rh combinations.Inacomprehensiveevaluation,W/Rhcombinationswhicharenotusedinthin breastsinpracticewassuperiortoalimagequalityevaluation.Thisresultissomewhat differentwithclinicalexaminationresults.Secondaryendpointwasorgandoseevaluation, radiationdoseofoppositebreastwasapproximately47∼73% effectivenesswhenselecting standardbreast.Inconculsion,themostimportantpointisthatwehavetoselecttheoptimal combinationswithconsideringdoseevaluationandvariousthickness. ■ keyword : Digital Mammography System MCNPX Evaluation of Image Quality Evaluation of Organ Dose *본 논문은 2013년도 부산가톨릭대학교 교내학술연구비 지원에 의하여 수행되었습니다. 접수일자 :2014년 03월 04일 수정일자 :2014년 04월 14일 심사완료일 :2014년 04월 28일 교신저자 :이진수,e-mail:sonojinsoo@naver.com 한국콘텐츠학회논문지 '14 Vol. 14 No. 6 248
Multi-Class Character Classification with Semi-Supervised Learning Based on Information Entropy

Character Classification technology is the key link in OCR system. Most classification methods require abundant marked samples training to get classifier. In the real OCR application, there are so many classes, to label these samples are often waste time and energy, especially for unacquainted language, such as Arabic and Uygur, many characters are difficult to differentiate, so it even needs the help of professional guidance. This paper proposed a novel character classification with semi-supervised learning based on information entropy, introduced discrete event probability estimation theory of information entropy, active to select the optimization character samples, got the new parameters to train the classifier again, choose the most conducive to the classifier performance samples, iteration until the unlabeled samples set is empty. The experiment results show that this method achieves high performance in specific condition.
Políticas universitarias de difusión de la información a través de la propia web institucional

La difusion de la informacion se ha convertido en uno de los elementos criticos en los planes estrategicos de las instituciones universitarias. Inquietadas por su posicion en los rankings internacionales que evaluan este tipo de instituciones, las universidades comienzan a preocuparse tambien por sus estrategias de difusion de informacion y sus webs institucionales. En este trabajo se abordan las funciones principales de las webs universitarias; el proceso de analisis, diseno e implementacion en la creacion de este tipo de sitios webs; los elementos minimos que deben incluirse en una guia de estilo de web universitaria; y algunos de los principales estandares y referencias nacionales e internacionales de ese tipo de guias.
A New Design Rationale Representation Model for Rationale Mining

The management of design rationale (DR) in engineering design is an important task since DR is often regarded as crucial information in design decision support and design analysis. The existing DR systems largely rely on human efforts in capturing DRs along design activities according to some predefined DR models. However, these systems require heavy human involvement and they do not have the capacity to extract DRs from design archival documents, which contain rich DR information but are usually unstructured or semistructured texts, e.g., design documents, service reports, and test reports. In view of such challenges, it has motivated us to propose a new DR model to intelligently discover DRs from design archival documents. In this paper, we propose an issue, solution and artifact layer (ISAL) model for DR representation and approaches for rationale information discovery from design archival documents. We also introduce a DR repository construction platform based on the ISAL model by integrating rationale information from both design archival documents and design processes. Using patent documents as our research data, we conduct a conceptual comparison and experimental study of DR discovery especially for artifact information extraction. Results demonstrate the merits of our proposal. Lastly, we discuss potential applications by taking advantage of our ISAL model.
Due‐window assignment with unit processing‐time jobs

In due‐window assignment problems, jobs completed within a designated time interval are regarded as being on time, whereas early and tardy jobs are penalized. The objective is to determine the location and size of the due‐window, as well as the job schedule. We address a common due‐window assignment problem on parallel identical machines with unit processing time jobs. We show that the number of candidate values for the optimal due‐window starting time and for the optimal due‐window completion time are bounded by 2. We also prove that the starting time of the first job on each of the machines is either 0 or 1, thus introducing a fairly simple, constant‐time solution for the problem. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004
Global posterior densities for sensor management

In several recent papers and a new book, Mathematics of Data FUsion, we have shown how finite-set statistics (FISST), a special case of random set theory, provides a theoretically rigorous foundation for many aspects of data fusion. In particular, we demonstrated that this theory provides a fundamental new approach to the problem of determining optimal dwell allocations, mode selections, and servo parameters for reassignable and/or multimode sensor. The basic approach relied on the fact that FISST provides a means of mathematically transforming multisensor, multitarget sensor management problems into conventional nonlinear optimal control problems. In this paper we show that the approach can be extended to include the possibility that the sensor may be distributed among many platforms. We also briefly describe a special cases of finite-set statistics called 'joint multitarget probabilities' or 'JMP', which has been applied to another sensor management approach by Musick, Kastella, and Mahler.
Dynamic Self‐Repair Architectures for Defective Through‐silicon Vias

Three‐dimensional integration technology results in area savings, platform power savings, and an increase in performance. Through‐silicon via (TSV) assembly and manufacturing processes can potentially introduce defects. This may result in increases in manufacturing and test costs and will cause a yield problem. To improve the yield, spare TSVs can be included to repair defective TSVs. This paper proposes a new built‐in self‐test feature to identify defective TSV channels. For defective TSVs, this paper also introduces dynamic self‐repair architectures using code‐based and hardware‐mapping based repair.
Mining Evolutionary Link Strength for Information Diffusion Modeling in Online Social Networks

In this paper, we consider the problem of evolutionary link strength mining for information diffusion modeling and predicting. Most exiting approaches analyzing link strength focus on either topological information or content semantics, but do not simultaneously consider combining both features. Furthermore, in many applications of text stream data, the users are always in need of the ability to track link strength evolution pattern along time line. In this paper, we argue that the evolutionary link strength reflects a user’s interest to create reply links and is influenced by both neighbors and topic content. With this aim in mind, we propose a novel Content-Topology-Time model for link strength predicting in time-aware online social network. Comprehensive experimental studies on real world micro-blog data set show that our approach outperforms existing ones and well matches the practice.
Independent Subspace Analysis For Blind Signal Separation: Models And Algorithms

Abstract As an extended independent component analysis (ICA) method for blind signal separation (BSS), independent subspace analysis (ISA) has more applications than ICA method. In this paper, we briefly present a new perspective of ISA for BSS. The general and detailed definition of the ISA model is given, the relationships between ICA and ISA methods is also discussed. Moreover, due to the fundamental difficulty in the ISA problem that it (specify it here) is not unique without extra constraints, we also review and discuss the separateness and uniqueness of the ISA model. At last, the state-of-art ISA algorithms are overviewed from different theoretical foundations. Some ISA algorithms based on the original relative gradient (natural gradient) ICA, FastICA, and JADE ICA are constructed for the BSS problem in detail and simulations of these algorithms are also exhibited.
The Performance of Coded Diversity Systems on a Slowly Fading Rayleigh Channel

A new diversity technique has been developed that uses message waveforms consisting of a sequence of RF bursts at a number of different frequencies. Furthermore, the ensemble of message sequences is a code with large minimum Hamming distance. Hence, reliable communications are possible in spite of channel fading and additive noise. The new diversity technique has been integrated into a troposcatter communication system that was first tested in 1967. The new technique is illustrated and its performance predicted assuming both correlated and uncorrelated fading between the RF frequencies. A particular code is presented that achieves a 4-dB coding improvement beyond that generally obtained using binary modulation and frequency diversity techniques of the same order. Theoretical predictions of system performance and actual empirical data taken on two operational links agree very closely.