ppxscal/embedding_network huggingface dataset:
Lessons learnt in mining and writing design patterns for educational interactive graphics
Authors: Christian Kohls, Jan-Georg Uttecht
Venue: Computers in Human Behavior (2009)

Design patterns capture the invariant parts of proven designs as solutions to a problem in a specific context. While e-learning patterns have become popular in academic discussion, a large-scale use of these patterns or pattern languages in general cannot yet be observed in the field. One problem is that there are no agreed standards to define, analyze, organize, and evaluate such patterns. Another challenge is to find the right patterns and describe them at an appropriate level of abstraction, granularity, and detail. In this paper, we present a case study on the mining, writing and application of patterns for interactive educational graphics. It focuses on pattern mining and describes how to derive patterns from experience and analysis. Based on schema theory, a method is proposed to find patterns that are shared by other individuals. To improve the quality of written patterns, we consider established methods of pattern writing. The aim is to document patterns that are understandable, well-structured, and that capture the expert's intrinsic knowledge about real patterns as precisely as possible. Finally, the benefits and applicability of patterns are discussed.
Modality in the hymns of the Armenian church
Authors: Haig Utidjian
Venue: Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications (2009)

The paper discusses the meaning and function of modality in Armenian church music, its relation to issues of neumatic notation, oral reconstruction and tonal ambiguity; and the manner in which the latter has influenced nineteenth-century harmonisations, some of which evince a harmonic language anticipating similar effects deployed by Western composers. Matters of performance practice are touched upon, and a critique of efforts to decipher neumatic notation has been provided.
Cognitive Modeling in Software and Relation to Human Emotional Reasoning
Authors: Hamido Fujita, Jun Hakura, Masaki Kurematu
Venue: Proceeding of the 2007 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the sixth SoMeT_07 (2007)

The paper reports on our experience to in adapting emotional experiences of the software engineers in evolutionary design of software systems. The works here reported present development progress report in relation to the state-of art that need to create the multidisciplinary technologies, needed to establish best harmony engagement between human user the software application, based on human cognitive analysis. We approach the user best engagement from facial and voice analysis. And through it, we can measure (collectivized and quantified), and observe the user behavior, and accordingly enhance the engagement by generative interactive scenario. The approach has been experimented using famous literature person (Keni Miyazawa).
Semantic Description of Collaboration Scripts for Service Oriented CSCL Systems
Authors: Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis, Juan I. Asensio-Pérez
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Many CSCL systems have embraced scripting and service oriented computing to achieve effective collaboration and system flexibility, respectively. While learning standards, such as IMS-LD, can be used for scripting, we have encountered some problems to describe activity types, their collaboration properties and learning tools with this standard. The usability of collaboration scripts is limited, since some important features cannot be described. Furthermore, poor description of tools hinders the search of tools, offered as services, in service oriented CSCL systems. To overcome these difficulties, we propose an ontology that can be used to enrich the description of activities and tools in a script. Besides, the authoring process of a learning design is eased due to enforced restrictions in the ontology as well as the use of off-the-self ontology editors. Furthermore, formal and explicit semantics in a script can be exploited to automate the search of tools. This way, service providers can describe their tools in terms of the ontology, while educators can search for them using domain concepts.
Impacts of Grade 7-9 Students' Computer Usage after School on Academic Achievement: A School Case Study
Authors: Yiu Fai Wong, Percy Lai Yin Kwok
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

Explorable areas concerning actual impacts of computer usage on various types of related activities after school on student learning, and relationship between time spent on those activities and student personality styles (in terms of social and intellectual selves and learning attitudes) have still been under-researched in local and international perspectives. This study aims to fill up these research gaps by studying 528 Secondary 1-3 (Grade 7-9) students, aged from 12 to 16, in a secondary school in Hong Kong in terms of a questionnaire to record their activities on using computers after school and to identify their personality styles in Hong Kong. By taking mid-term school examination results for granted, the study not only reveals correlation between examination marks and time using computers, but also depicts variation of their participating activities on using computers.
Proteome coverage prediction with infinite Markov models
Authors: Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
Venue: Bioinformatics (2009)

Motivation: Liquid chromatography tandem mass spectrometry (LC-MS/MS) is the predominant method to comprehensively characterize complex protein mixtures such as samples from prefractionated or complete proteomes. In order to maximize proteome coverage for the studied sample, i.e. identify as many traceable proteins as possible, LC-MS/MS experiments are typically repeated extensively and the results combined. Proteome coverage prediction is the task of estimating the number of peptide discoveries of future LC-MS/MS experiments. Proteome coverage prediction is important to enhance the design of efficient proteomics studies. To date, there does not exist any method to reliably estimate the increase of proteome coverage at an early stage. Results: We propose an extended infinite Markov model DiriSim to extrapolate the progression of proteome coverage based on a small number of already performed LC-MS/MS experiments. The method explicitly accounts for the uncertainty of peptide identifications. We tested DiriSim on a set of 37 LC-MS/MS experiments of a complete proteome sample and demonstrated that DiriSim correctly predicts the coverage progression already from a small subset of experiments. The predicted progression enabled us to specify maximal coverage for the test sample. We demonstrated that quality requirements on the final proteome map impose an upper bound on the number of useful experiment repetitions and limit the achievable proteome coverage. Contact:manfredc@inf.ethz.ch; jbuhmann@inf.ethz.ch
Non-Zenoness of a class of differential quasi-variational inequalities
Authors: Lanshan Han, Jong-Shi Pang
Venue: Mathematical Programming: Series A and B (2009)

The Zeno phenomenon of a switched dynamical system refers to the infinite number of mode switches in finite time. The absence of this phenomenon is crucial to the numerical simulation of such a system by time-stepping methods and to the understanding of the behavior of the system trajectory. Extending a previous result for a strongly regular differential variational inequality, this paper establishes that a certain class of non-strongly regular differential variational inequalities is devoid of the Zeno phenomenon. The proof involves many supplemental results that are of independent interest. Specialized to a frictional contact problem with local compliance and polygonal friction laws, this non-Zenoness result is of fundamental significance and the first of its kind.
Microelectroacoustics: Sensing and Actuation, 1st edition
Authors: Mark Sheplak, Peter V. Loeppert
Venue: Mems Reference Shelf (2009)

MEMS (microelectromechanical systems) products utilize robust processes from the semiconductor industry to make a wide variety of electronic devices smaller, more reliable and cheaper to manufacture. In the field of electro acoustic systems MEMs arenow being deployed to develop miniaturized electro acoustic devices. The applications of electro acoustic systems range from miniaturized condenser microphones to speakers, hearing aids, ultrasonic transducers, proximity sensing, and biomedical imaging.
Improved analysis methods for crossover-based algorithms
Authors: Benjamin Doerr, Madeleine Theile
Venue: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009)

We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the paths through crossover operations can be analyzed without the previously used approach of waiting until all paths of a certain length are present in the population. This allows to prove an improved guarantee for the optimization time of O(n3.25 log1/4(n). We also show that this bound is asymptotically tight. Besides the mere run-time result, our analysis is a step towards understanding how crossover works and how it can be analyzed with rigorous methods.
Higher education ERPs: implementation factors and their interdependecies
Authors: Ana-Ramona Bologa, Mihaela Muntean, Gheorghe Sabau, Iuliana Scorta
Venue: WSEAS Transactions on Computers (2009)

In this paper we have analyzed some critical implementation factors of an ERP project implementation in universities and their interdependencies. Taking into consideration that for industry implementations there are already many performed studies we started by considering university implementations as a particular case for the industry ones. Starting from this, we have identified and analyzed differences for the case of universities regarding communication structure, management involvement, organization, implementation team competences, legacy systems, inter-department communication, user training, suppliers/ customers' partnership, external consultants. The conclusions of this study are going to be used in developing an evaluation framework of ERP solutions for higher education management.
Apple Pro Training Series: Color
Authors: Michael Wohl, David Gross
Venue:  (2007)

In this guide to Apples masterful new color grading and finishing application, award-winning colorist David Gross starts with the basics of color balancing and correction and move on to the fine points of secondary grading. Topics include scene matching, using vignettes to isolate and track regions, creating advanced color effects and looks, skin tone adjustments, and adjusting the composition and framing of a shot. As with the other titles in the Apple Pro Training Series, each chapter in this Apple-authorized guide represents a complete lesson--with a project to complete and a review section to reinforce the lessons. Superb footage, including several BBC productions and broadcast commercials, provide real-world examples for you to work through as you master this revolutionary software.
Using social networking to teach new software
Authors: Loren Klingman
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

Social networking websites are extremely popular among college students. Our project seeks to capitalize on this familiar environment to teach students how to use other computer programs. The first software we are creating with this pedagogy teaches students how to use electronic health record software. Students will be educated via the familiar interface using instructional walkthroughs, teacher led projects, and assignments. The social networking interface improves the functionality of EHR software because patients can be viewed as friends, "walls" can be used to list administered medicines and vitals, and pictures can show diagnostic images or verify patient identity.
Dynamic MIPS rate stabilization in out-of-order processors
Authors: Jinho Suh, Michel Dubois
Venue: ACM SIGARCH Computer Architecture News (2009)

Today's microprocessor cores reach high performance levels not only by their high clock rate but also by the concurrent execution of a large number of instructions. Because of the relationship between power and frequency, it becomes attractive to run an OoO (Out-of-Order) core at a frequency lower than its nominal frequency in the context of embedded or real-time systems. Unfortunately, whereas OoO pipelines have high average throughput, their highly variable and hard-to-predict execution rate makes them unsuitable for real-time systems with hard or even soft deadlines. In this paper, we demonstrate that the execution time of an OoO processor can be stable and predictable by controlling its MIPS (Mega Instructions Per Second) rate via a PID (Proportional, Integral, and Differential gain) feedback controller and DVFS (Dynamic Voltage and Frequency Scaling). The stabilized processor uses much less power per committed instruction, because of the reduced average frequency. The EPI (Energy Per Instruction) is also cut by an average of 28% across our benchmark programs. Since a stable MIPS rate is maintained consistently with lower power/energy per instruction, OoO processors stabilized by a feedback controller can realistically be deployed in real-time systems. To demonstrate this capability we select a subset of the MiBench benchmarks that displays the widest execution rate variations and stabilize their MIPS rate in the context of a 1GHz Pentium III-like microarchitecture.
A learning classifier system approach to relational reinforcement learning
Authors: Stephan Chalup
Venue:  (2008)

Machine learning methods usually represent knowledge and hypotheses using attribute-value languages, principally because of their simplicity and demonstrated utility over a broad variety of problems. However, attribute-value languages have limited expressive power and for some problems the target function can only be expressed as an exhaustive conjunction of specific cases. Such problems are handled better with inductive logic programming (ILP) or relational reinforcement learning (RRL), which employ more expressive languages, typically languages over first-order logic. Methods developed within these fields generally extend upon attribute-value algorithms; however, many attribute-value algorithms that are potentially viable for RRL, the younger of the two fields, remain to be extended. This thesis investigates an approach to RRL derived from the learning classifier system Xcs. In brief, the new system, Foxcs, generates, evaluates, and evolves a population of &ldquo;condition-action&rdquo; rules that are definite clauses over first-order logic. The rules are typically comprehensible enough to be understood by humans and can be inspected to determine the acquired principles. Key properties of Foxcs, which are inherited from Xcs, are that it is general (applies to arbitrary Markov decision processes), model-free (rewards and state transitions are &ldquo;black box&rdquo; functions), and &ldquo;tabula rasa&rdquo; (the initial policy can be unspecified). Furthermore, in contrast to decision tree learning, its rule-based approach is ideal for incrementally learning expressions over first-order logic, a valuable characteristic for an RRL system. Perhaps the most novel aspect of Foxcs is its inductive component, which synthesizes evolutionary computation and first-order logic refinement for incremental learning. New evolutionary operators were developed because previous combinations of evolutionary computation and first-order logic were non-incremental. The effectiveness of the inductive component was empirically demonstrated by benchmarking on ILP tasks, which found that Foxcs produced hypotheses of comparable accuracy to several well-known ILP algorithms. Further benchmarking on RRL tasks found that the optimality of the policies learnt were at least comparable to those of existing RRL systems. Finally, a significant advantage of its use of variables in rules was demonstrated: unlike RRL systems that did not use variables, Foxcs, with appropriate extensions, learnt scalable policies that were genuinely independent of the dimensionality of the task environment.
Color vision screening using eye movements
Authors: Brian Steward, Derrick Parkhurst
Venue:  (2007)

Most of color vision tests require that the participant is aware of and actively takes part in the test. While this might seem like a minor requirement, it presents the possibility that, when motivated, participants can engage in subterfuge in order to pass the test. This study introduces the use of eye movements as a covert test to detect the presence of a color deficiency without requiring explicit input. An experiment was conducted in which the results suggest that the observed differences in eye movements alone can be used as an efficient metric for detecting colorblindness using the Ishihara images. To reduce the possibility that participants may realize they are being tested, a method to select new complex scenes for screening color vision status was developed. Another eye movement experiment was performed using selected scenes to validate the usefulness of the proposed method. The results show that this approach can be used to screen colorblind individuals without their knowledge or active participation, making the test less sensitive to subterfuge.
Relationship between a non-malleable commitment scheme and a modified selective decommitment scheme
Authors: Hai-Xia Xu, Bao Li
Venue: Journal of Computer Science and Technology (2007)

The notion of commitment is one of the most important primitives in cryptography. To meet various needs, there have been many kinds of commitment schemes among which non-malleable commitment scheme and selective decommitment scheme are important and in general use. And, the increasing security demands suggest a closer look at the relationship between the two schemes. For the convenience of our proof, a new definition for selective decommitment scheme is proposed, which is named as modified selective decommitment scheme. The security relation is deduced that a nonmalleable commitment scheme implies a modified selective decommitment scheme, but the reverse is not true.
Opinion retrieval and classification in blogs
Authors: Clement Yu
Venue:  (2008)

The blog documents are rich in opinionated contents. To incorporate the opinionated texts into document retrieval, this dissertation proposes an novel opinion retrieval model to effectively retrieve the blog documents having opinions about a given query topic, and label the opinion polarity of the retrieved documents as positive, negative or mixed. The proposed model consists of a query pre-processing module for concept recognition and query expansion. A fact-based information retrieval module retrieves the topic relevant documents, based on the concepts and individual query terms of the processed query, no matter if the documents contain opinions or not. An opinion identification module detects the opinionated texts, regardless of whether the opinions are related to the query. An opinion retrieval module finds the query-related opinions, which are then used with the factual retrieval scores to calculate the document-query opinion similarity. Finally an opinion polarity module gives each retrieved document a polarity label to indicate the overall tone of the query-related opinions in the document. The experimental results show that the retrieval effectiveness and the classification accuracy of this proposed model are both higher than other state-of-the-art systems.
Professional K2 blackpearl
Authors: Holly Anderson, Jason Apergis, Sergio Del Piccolo, Chris Geier, Codi Kaji, Shaun Leisegang, Igor Macori, Gabriel Malherbe, Jason Montgomery, Colin Murphy, Chris O'Connor, Anthony Petro, Eric Schaffer, Mike Talley
Venue:  (2009)

Built on Microsoft technologies including Microsoft Office SharePoint Server, SQL Server, Microsoft Office 2007, and Visual Studio 2005 and 2008, the latest K2 [blackpearl] release provides you with mature workflow management systems that can automate processes or pull together people, services, and systems. Youll get an introduction to workflow and business processes management, planning and administering a K2 infrastructure, and building processes and workflow.
A tangible design tool for sketching materials in products
Authors: Daniel Saakes, Pieter jan Stappers
Venue: Artificial Intelligence for Engineering Design, Analysis and Manufacturing (2009)

Industrial designers make sketches and physical models to start and develop ideas and concept designs. Such representations have advantages that they support fast, intuitive, rich, sensory exploration of solutions. Although existing tools and techniques provide adequate support where the shape of the product is concerned, the exploration of surface qualities such as material and printed graphics is supported to a much lesser extent. Moreover, there are no tools that have the fluency of sketching that allow combined exploration of shape, material, and their interactions. This paper evaluates Skin, an augmented reality tool designed to solve these two shortcomings. By projecting computer-generated images onto the shape model Skin allows for a “sketchy” tangible interaction where designers can explore surface qualities on a three-dimensional physical shape model. The tool was evaluated in three design situations in the domain of ceramics design. In each case, we found that the joint exploration of shape and surface provided creative benefits in the form of new solutions; in addition, a gain in efficiency was found in at least one case. The results show that joint exploration of shape and surface can be effectively supported with tangible augmented reality techniques and suggest that this can be put to practical use in industry today.
Discovering patterns to extract protein-protein interactions from full biomedical texts
Authors: Minlie Huang, Xiaoyan Zhu, Donald G. Payan, Kunbin Qu, Ming Li
Venue: Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (2004)

Although there have been many research projects to extract protein pathways, most such information still exists only in the scientific literature, usually written in natural languages and defying data mining efforts. We present a novel and robust approach for extracting protein-protein interactions from the literature. Our method uses a dynamic programming algorithm to compute distinguishing patterns by aligning relevant sentences and key verbs that describe protein interactions. A matching algorithm is designed to extract the interactions between proteins. Equipped only with a protein name dictionary, our system achieves a recall rate of about 80.0% and a precision rate of about 80.5%.