Miracle-dz/UniFAR-FTUs huggingface dataset:
Open Source Software in the biomedical domain

There are few subjects in computer science where the discussion is more emotional than Open Source Software (OSS). People are either strongly favouring its use or are straightforward against it, often without knowing the details of available software or the licensing conditions. This article gives an overview of available OSS in the medical domain, mainly centred on available open source Electronic Health Records. Much of the software for a hospital infrastructure can be obtained free of charge, but the main costs in a hospital environment are on adaptations of software for a particular setting and on maintenance. These costs also apply to open source software, which is therefore not without cost. The article also outlines the advantages and problems of OSS through a review of the literature to de-emotionalise the debate and concentrate rather on the facts. In addition, the potential of OSS is being described, for example in developing countries.
SOFTWARE RELIABILITY MODELS WITH TWO DEBUGGING RATES

A new class of software reliability models is proposed, based on practical considerations about the failure process and the influence of debugging on the successive software failure rates. It is assumed that, at each correction, a part of the previous software faults are removed and new faults can be introduced. Several well-known models belong to this class. With some additional assumptions, a simple model is proposed. The maximum likelihood equations for the estimation of its parameters are derived. The model is applied on real data and is compared to usual software reliability models.
A Critical Realist Guide to Developing Theory with Systematic Literature Reviews

This working paper has been thoroughly revised and superseded by two distinct articles, both available at SSRN. The first focuses on developing theory with literature reviews: Okoli, Chitu. The View from Giants’ Shoulders: Developing Theory with Theory-Mining Systematic Literature Reviews. SSRN Working Paper Series, December 8, 2015. This article identifies theory-mining reviews, which are literature reviews that extract and synthesize theoretical concepts from the source primary studies. The article demonstrates by citation analysis that, in information systems research, this kind of literature review is more highly cited than other kinds of literature review. The article provides detailed guidelines to writing a high-quality theory-mining review. The second subsequent article offers various comments on literature reviews from a critical realist perspective: Okoli, Chitu. Critical Realist Considerations for Literature Reviews. SSRN Working Paper Series, December 8, 2015. Using the systematic review framework, it offers various comments from a critical realist lense on uncovering real mechanisms underlying theoretical phenomena. It also offers other general comments on the literature reviewing practice beyond theory-building.
Computer vision algorithms in DNA ploidy image analysis

The high incidence and mortality rates of prostate cancer have stimulated research for prevention, early diagnosis and appropriate treatment. DNA ploidy status of tumour cells is an important parameter with diagnostic and prognostic significance. In the current study, DNA ploidy analysis was performed using image cytometry technique and digital image processing and analysis. Tissue samples from prostate patients were stained using the Feulgen method. Images were acquired using a digital imaging microscopy system consisting of an Olympus BX-50 microscope equipped with a color CCD camera. Segmentation of such images is not a trivial problem because of the uneven background, intensity variations within the nuclei and cell clustering. In this study specific algorithms were developed in Matlab based on the most prominent image segmentation approaches that emanate from the field of Mathematical Morphology, focusing on region-based watershed segmentation. First biomedical images were simplified under non-linear filtering (alternate sequential filters, levelings), and next image features such as gradient information and markers were extracted so as to lead the segmentation process. The extracted markers are used as seeds; watershed transformation was performed to the gradient of the filtered image. Image flooding was performed isotropically from the markers using hierarchical queues based on Beucher and Meyer methodology. The developed algorithms have successfully segmented the cell from its background and from cells clusters as well. To characterize the nuclei, we attempt to derive a set of effective color features. By analyzing more than 50 color features, we have found that a set of color features, hue, saturation-weighted hue, I1=(R+G+B)/3, I2=(R-B),I3=(2G-R-B)/2, Karhunen-Loeve transformation and energy operator, are effective.
Cost‐benefit analysis of telelearning: Developing a methodology framework

Although costs and benefits of distance education have been evaluated, there are few examples where a cost‐benefit analysis has been applied to a variety of different educational technologies. This paper summarises some of the cost‐benefit methodologies expressed in the academic literature. The examples presented here have been categorised into four main groups, representing the different approaches to cost‐benefit analysis for technology and distance education: values, mathematical models, comparative studies, and return of investment Finally, an integrated methodology useful in the evaluation of educational technologies is presented.
Discovering latent attributes for human action recognition in depth sequence

A method for human action recognition in depth sequence by discovering latent attributes is proposed. Specifically, a latent attribute model to take advantage of the partwise and bodywise action attributes and their concurrence for action modelling is presented. This model can avoid the explicit definition of a completed action attribute set by designing a hidden layer as latent attributes. Moreover, the relationship between pairwise attributes can be adaptively learned in terms of the specific graphical structure without human intervention. Extensive experiments on two popular datasets and a new dataset TJU show the superiority of the proposed method over the state-of-the-arts.
Split-Cornea-Transplantation – ein neues Konzept gegen Spendermangel

Zusammenfassung Hintergrund: Die perforierende Keratoplastik ist bisher das Standardverfahren der Hornhauttransplantation. In den letzten Jahren haben sich jedoch die lamellären Techniken, wie die tiefe anteriore lamelläre Keratoplastik (DALK) mittels „big bubble“ und die posteriore lamelläre Keratoplastik mittels „Descemet Membrane Endothelial Keratoplasty“ (DMEK) revolutioniert. Ziel dieser Arbeit ist es, die Split-Cornea-Transplantation mit der Kombination von DALK und DMEK als ein neues Konzept gegen den Hornhautspendermangel darzustellen. Methoden: Der Beitrag bietet eine Literaturübersicht aus PUBMED und eigene klinische Ergebnisse. Ergebnisse: Durch Teilung einer Spenderhornhaut in eine anteriore Lamelle (bestehend aus Epithel, Basalmembran, Bowman’scher Lamelle und Stroma) für eine DALK-Operation bei einem Patienten mit anterior-stromaler Hornhauterkrankung (z. B. Keratokonus) einerseits und eine posteriore Spenderlamelle (bestehend aus Descemet’scher Membran und Endothel) für eine DMEK-Operation bei einem Patienten mit endothelialer Hornhauterkrankung (z. B. Fuchs’sche Hornhautendotheldystrophie) andererseits kann der Bedarf an Hornhautspendergewebe um etwa 50 % reduziert werden. Im 6-Monats-Follow-up zeigten sich gute visuelle und refraktive Ergebnisse bei niedrigen Komplikationsraten und akzeptablen Endothelzellverlusten. Schlussfolgerung: Die Split-Cornea-Transplantation mit Kombination von DALK und DMEK ist ein vielversprechendes, zukunftsträchtiges Konzept, dem Spendermangel im Bereich der Hornhauttransplantation zu begegnen.
A defect prevention approach to architecture-based testing

Research in software architectures often marginalizes the importance of testing in relation to architectural design decisions. It is the authors' belief that testing has a pivotal role in software architectural design, in particular, defect prevention and defect detection. How effectively testing fulfills these roles is dependent on when and how the test process is introduced into the life cycle. Defect prevention requires that software test planning begin with requirements. Effective test planning requires textual and visual tools to analyze the control and data structures to be tested. Architecture-based testing presents a unique testing challenge as data and control issues must be analyzed for complex interdependencies. They introduce a generalized program graph GPG to be used with architecture-based test criteria to support analyzing architectures for test optimization. They introduce what they believe to be the salient issues in achieving defect prevention and detection for architecture-based testing. They conclude with suggestions for future work.
Thermodynamic-Dynamic Sea Ice Modeling under J Parallel Adaptive Structured Mesh Applications Infrastructure

Analyzing problems represented by partial differential equations numerically with modern high performance computers has become an important approach in research of earth science. In the work, a Sea Ice numerical Model under JASMIN (J parallel Adaptive Structured Mesh applications INfrastructure) (SIMJ for brevity) including thermodynamic and dynamic processes is implemented and an numerical experiment of 20-year integration with SIMJ has been performed. It’s found that the model can reproduce seasonal variation of Arctic sea ice well and implementation of parallel computing is flexible and easy. The ratio of time consumption is 1:1.16:1.48:2.45 with 8, 4, 2, and 1 core(s) respectively for one year integration on mobile workstation (Thinkpad W510) with Red Hat Enterprise Linux 5.4 and Portland group’s pgf90 9.0-1.
Composition Technique for Independent Real-time Advertisement on Mobile UCC Phonepage

One of the advantages of the mobile internet is that it is accessible everywhere. However, producing the mobile internet contents is hard because the standards of the contents are different depending on the telecommunications companies and the mobile phone terminals. Because of this, mobile contents production has not been activated and profit models are rarely found. In order to vitalize the mobile contents, we developed the Mobile UCC (User Created Contents) Phone Page Service with which general users can produce and provide the mobile phone pages easily. In addition, we began to provide advertisement on the UCC phone pages as a profit model. However, as mentioned already, the contents that meet each of the standards should be prepared in advance to be compatible with the different standards. For this reason, only one advertisement could be provided on one UCC phone page. Previous studies were focused on the standardization of different standards by integrating them. Though the standardization may be applicable to the mobile phones that will be newly released, it is hardly applied to the conventional mobile phones. To solve the abovementioned problems and improve the drawbacks of the conventional studies, we proposed in this article the technology to synthesize the phone page contents and independent advertisement at the moment when the UCC phone page prepared by the users is provided in real time. This technology allows to provide various advertisement on one UCC phone page and administrate the start, end and frequency of specific advertisements. This method was applied in this study to vitalize the mobile contents and improve the profit model.
Linear Amplification with Nonlinear Components

A technique for producing bandpass linear amplification with nonlinear components (LINC) is described. The bandpass signal first is separated into two constant envelope component signals. All of the amplitude and phase information of the original bandpass signal is contained in phase modulation on the component signals. These constant envelope signals can be amplified or translated in frequency by amplifiers or mixers which have nonlinear input-output amplitude transfer characteristics. Passive linear combining of the amplified and/or translated component signals produces an amplified and/or translated replica of the original signal.
Twitter‐based information distribution during the 2009 Red River Valley flood threat

University of Colorado, Boulder. She can be reached at palen<at>colorado.edu. Kate Starbird and Sarah Vieweg are Ph.D. students in the Technology, Media & Society Program (ATLAS) at the University of Colorado, Boulder. They can be reached at Catharine.Starbird<at>colorado.edu and Sarah.Vieweg<at>colorado.edu, respectively. Amanda Hughes is a doctoral student in the Department of Computer Science, University of Colorado, Boulder. She can be reached at Amanda.Hughes<at>colorado.edu. Twitter-based Information Distribution during the 2009 Red River Valley Flood Threat by Leysia Palen, Kate Starbird, Sarah Vieweg and Amanda Hughes
Looking to the future: M-learning with the iPad

Might Apple’s new iPad gain unprecedented traction in education, or is just another example of the over-hyping of new devices in a time of technological determinism (Postman, 2000)? This paper explores the potential affordances and limitations of the Apple iPad in the wider context of emergent mobile learning theory, and the social and economic drivers that fuel technology development. Against the background of effective teaching and learning, the functionality offered by the iPad, and its potential uses for learning, are discussed. A critical review of the way the iPad may support learning, that draws on learning theory, contemporary articles and e-learning literature, suggests that the device may offer an exciting platform for consuming and creating content in a collaborative, interactive way. However, of greater importance is that effective, evidence-driven, innovative practices, combined with a clear-sighted assessment of the advantages and limitations of any product, should take priority over the device itself.
Kernel Discriminant Analysis and information complexity: advanced models for micro-data mining and micro-marketing solutions

In this paper we shall consider Kernel Discriminant Analysis as an innovative tool for supervised classification in a business vision as a marketing solution. The main idea we propose is the combined use of information complexity and bootstrap process which allows the user to overcome the open problems of such a technique as the kernel function choice and at the same time check the robustness of the rule found.
Digital control of multiple output DC-DC converter using 16 bit microcontroller

This paper presents the design and implementation of a digital controller for a multiple output buck converter operating at the switching frequency of 100 KHz. The implementation of the digital controller is using a low cost 16-bit fixed point PIC microcontroller. Compensator using digital control techniques and simulink model of the converter in closed loop is also presented. This paper proposes a closed loop solution to overcome limit cycling in DC-DC converter using digital control techniques. Experimental results are also presented in this paper to validate the results of the theoretical analysis of the converter.
Fostering Historical Thinking With Digitized Primary Sources

Abstract This pilot study examined middle school and high school student performance on an online historical thinking assessment task. After their teachers received training in the use of digital historical archives, students from all groups engaged in historical thinking behaviors (e.g., observation, sourcing, inferencing, evidence, question-posing, and corroboration) in response to an open-ended document analysis exercise. The types of thinking they did are described, and differences between AP-level and non-AP students are discussed. Challenges teachers face in developing students’ historical thinking around visual documents are also discussed. Educators seeking to take advantage of digitized primary source documents need activities with clear curriculum linkages and small exercises that give students guidance in working with different kinds of documents (visual, textual, and audio). In addition, students and teachers need far more practice in learning to make meaning from primary source documents—in beginning to think like historians.
Extending the pedagogy of mobility

Direct student experience of the real organism, object, place or environment is recognised by teachers as having powerful potential for high-quality learning. Mobile technologies offer a way for students to capture their authentic learning experiences, but rendering this rich experience into explicit and highly situated learning contexts for students remains an ongoing pedagogical challenge. After reviewing the changing nature of smart learning tools, several examples are explored to identify how they provide a novel learning context. Each example uses the integration of the smart device’s capabilities, such as the rapid capture of images and the juxtaposition of motion and static display. When comparing the incorporated tools of only a few years ago with the current tools available with the latest smart mobile devices, general principles can be generated to inform effective professional practice, specifically when teaching spatially dependent tasks, and in mobile collaborative learning environments.
A Research of High-Performance Geometric Precision Correction Based on Reference Image Database

Geometric precision correction of remote sensing image plays a more and more important role in the application of high precision remote sensing. A reference image database is built up based on PostgreSQL, an open-source relation database, and ArcSDE, a widely used spatial data engine. Compared with single reference image, the reference image database has the advantages of managing convenience, lower-cost maintenance and high retrieval efficiency. Meanwhile, the correction accuracy is boasted by Gopfert algorithm , and efficiency is improved by advanced parallel model based on parallel I/O and I/O hidden strategy. Beyond this, combined with MapServer which can rapidly display images, a geometric precision correction system of high performance with dual servers is formed, with which mass production ability is achieved.
Non-homogeneous Mesh Resizing with Feature Preserved ⋆

Model resizing is very useful when creating new models based on existing ones or applying models in different scenes. In order to determine the features to be preserved, recent resizing techniques have focused on mesh analysis to get low-level characteristics like edge and face vulnerability to scale, or high-level characteristics like mesh symmetry and parallelism. We observe that the extraction of such mesh information is time-consuming and very limited, so we let the user choose the features to be maintained, and provide the user with a flexible selection mode based on a simple mesh segmentation. Our method can precisely preserve the user-specified features and maintain its boundary continuity, meeting the requirements of engineering applications. The method resizes the model by a spacedeformation technique, so it can handle complex models with multiple connected components and intertwined features. A number of experimental results have shown that our approach has obtained pleasing results and outperformed the previous approaches.
Metamodel for Describing System Structure and State

Today’s software systems are very complex modular entities, made up of many interacting components that must be deployed and coexist in the same context. Modern operating systems provide the basic infrastructure for deploying and handling all the components that are used as the basic blocks for building more complex systems even though a generic and comprehensive support is far from being provided. In fact, in Free and Open Source Software (FOSS) systems, components evolve independently from each other and because of the huge amount of available components and their different project origins, it is not easy to manage the life cycle of a distribution. Users are in fact allowed to choose and install a wide variety of alternatives whose consistency cannot be checked a priori to their full extent. It is possible to easily make the system unusable by installing or removing some packages that “break” the consistency of what is installed in the system itself. This document proposes a model-driven approach to simulate system upgrades in advance and to detect predictable upgrade failures, possibly by notifying the user before the system is affected. The approach relies on an abstract representation of the systems and packages which are given in terms of models that are expressive enough to isolate inconsistent configurations (e.g., situations in which installed components rely on the presence of disappeared sub-components) that are currently not expressible as inter-package relationships. Mancoosi D2.1 Metamodel for Describing System Structure and State page 2 of 102
Visible planning on paper and on screen: The impact of working medium on decision-making by novice graphic designers

Abstract The paper describes the working method typically used by graphic designers when they plan documents. It considers how the interfaces of current desktop publishing systems often limit designers' working method; interfaces often fail to support the preparation and management of multiple drafts in a way that gives designers the visible feedback they need. Two questionnaire studies of novice designers planning documents on paper and on screen confirm that interface constraints can lead to less satisfactory design solutions on screen than on paper. User education and software developments are recommended in order to promote an interaction between machine and user that is congenial to visible planning.
The multistage support vector machine

The support vector machine (SVM) was originally designed for binary classification. How to effectively extend it for multiclass classification is still an ongoing research issue. There exist several methods to construct a multiclass classifier by combing several binary classifiers, such as "one-against-one", "one-against-all" and directed acyclic graph SVM. In the paper we give a new method to combine several binary classifiers other than the above three methods. Our idea is to cluster the samples into two classes, and then classify them. Based on this idea, we present the concept of multistage support vector machine. A comparison between our proposed method with the other three methods is conducted on the Iris database. Comparative results show that our proposed method has a better performance than the other three methods.
Realtime Mobile Base Station Placement with EM Algorithm for HAP based Network

ABSTRACT HAP(High Altitude Platform) is a stationary aerial platform positioned in the stratosphere between 17Km and 22Km height and it could act as an MBS (Mobile Base Station). HAP based Network has advantages of both satellite system and terrestrial communication system. In this paper we study the deploy of multiple HAP MBS that can provides efficient communication for users. For this study, EM(Expectation Maximization) clustering algorithm is used to cluster terrestrial mobile nodes. The object of this paper is improving EM algorithm into the clustering algorithm for efficiency in variety aspects considering distance between mobile terminal units and speed of mobile terminal units, and estimating performance of HAP MBS deploy technique with use of improved EM algorithm using RWP (Random Waypoint) node mobility.Keywords:MBS, HAP Telecommunication, EM Clustering Algorithm, Network 1. 서 론 1) HAP은 지표면 17-22Km 위에 있는 성층권 영역에서 운행하는 높은 고도에서의 플랫폼으로 HAP은 지상의 기반시설의 장점인 낮은 비용의 운영비, 낮은 전파 지연을 가지고 있고 인공위성의 고도에서의 서비스, 넓은 범위의 브로드캐