Reviewerly/exHarmony huggingface dataset:
Internet Based Curriculum Innovation In Information Engineering And E Business: The Integrated Curriculum Delivery System

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Main Menu Session 1526 Internet Based Curriculum Innovation in Information Engineering and E-Business: The Integrated Curriculum Delivery System Amy R. Pritchett, Alexander B. Quinn, George Nickles, Mahima Ashok, Mark Iken, J. C. Lu School of Industrial and Systems Engineering Georgia Institute of Technology Introduction The current compartmentalization of educational material into courses limits a student’s ability to quickly and easily access information from a variety of topics, explore new topics, and review prerequisite knowledge once in more advanced courses. In a larger sense, students may not understand the relationships between material presented in different courses, and therefore not develop an understanding of the fundamental relationship between concepts in their area of study. The compartmentalization of material is a result of physical and temporal expediency, including the practical need to delineate faculty responsibilities, the lack of a standardized method for referencing material between courses, and the specialization within individual academic domains. As a result, ascertaining the relationships between common concepts occurring within and between disciplines becomes a challenge for students. Considering the limited resources of educators and students, a technological solution is proposed to address the problems with concept learning in individual courses. A set of software tools has been developed to design, deliver, and evaluate course material through the Internet. The software tools also provide a means of relating material between different courses to promote conceptual learning within and between courses. As such, these tools employ the concepts of curriculum integration and are termed the Integrated Curriculum Delivery System. Thus, by integrating the knowledge content of distinct courses into a unified whole, the Integrated Curriculum Delivery System seeks to provide information to educators and students in a manner that will support deeper conceptual understanding. This document begins with an overview of curriculum integration and its potential for promoting concept learning. A discussion of the software tools created for the Integrated Curriculum Delivery System follows. The system is currently in development at the Georgia Institute of Technology for the design, delivery and evaluation of an integrated curriculum in Information Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education Main Menu
Second Life 3 D Virtual World In A Freshman Information Sciences And Technology Course

Second Life is an on-line, 3D, virtual community which provides an environment for students to interact, communicate, explore, design, build, and collaborate in a creative fashion.During the fall of 2007, an Information Sciences and Technology (IST) course for freshman undergraduates utilized Second Life to investigate the advantages of using virtual worlds to enhance college education in a variety of disciplines.Students also explored a variety of educational sites in Second Life which included a guided tour of a computer company.3D modeling tools and the effectiveness of virtual classroom for distance education were also explored.Lessons learned in the use of Second Life with students are presented as well as resources to guide educators in exploring Second Life to support educational goals.Second Life offers the potential to enhance the educational experience in many disciplines and provides new opportunities to collaborate.
Pre College Education Of Engineering At Kanazawa Institute Of Technology To Senior High School Students In Japan

In order to stimulate young students' interest in science and engineering, Kanazawa Institute of Technology (KIT) and Wakasa Senior High School (WSHS) started a collaboration project in 2000.KIT gives a two-day pre-college engineering course to students from WSHS.As students have little engineering knowledge, we intend to achieve the objective of the course by three pedagogical concepts: the Plan-Do-Check-Act Cycle, hands-on exercises, and cooperative learning.This paper discusses the experience of the pre-college engineering course, which the students attended at KIT in March 2001, and results of student feedback.
Materials Selection Exercises Based On Current Events

Issues relating to a wide range of consumer and industrial products appear in newspaper articles and on a variety of television shows, every day.These exercises were developed to give engineering students a societal and global perspective on technical problems important to the general public.Beginning with the concerns brought to light in a newspaper article, students employed their knowledge of material selection methodology and engineering principles to investigate the implication of the choice of materials.The CES EduPack 2005 Materials Selection software is utilized as the primary tool to provide the technical support for their analysis, conclusions, and comments.The general format of the exercises presented here includes the task outline, materials selection techniques, specifications for oral and written assignments, and the in-class activities and discussions.The exercises were implemented based on two newspaper headlines, "Marines Say Body Armor Too Heavy" and "Mission: Design Better (Space) Gloves".Samples of student work highlighted the different skill levels of achieved by students applying the techniques of material selection, as well as, the unique perspective of individual students to solving and/or commenting on these open end problems.With their ability to share results through presentations, students were teaching students.The peer evaluations developed a positive classroom environment promoting creativity and improvement in the technical content of subsequent projects.Students began to see the connections between the public concerns and opinions, and their role as engineers in the design, development or manufacture of a product.The possibilities for media examples are endless and provide students and faculty with a wide range of ideas to promote interest, motivation and a learning opportunity for today's engineering student.
Attributes, Performance, and Gaps in Current &amp; Emerging Breast Cancer Screening Technologies

Background: Early detection of breast cancer, combined with effective treatment, can reduce mortality. Millions of women are diagnosed with breast cancer and many die every year globally. Numerous early detection screening tests have been employed. A wide range of current breast cancer screening methods are reviewed based on a series of searchers focused on clinical testing and performance. &lt;/P&gt;&lt;P&gt; Discussion: The key factors evaluated centre around the trade-offs between accuracy (sensitivity and specificity), operator dependence of results, invasiveness, comfort, time required, and cost. All of these factors affect the quality of the screen, access/eligibility, and/or compliance to screening programs by eligible women. This survey article provides an overview of the working principles, benefits, limitations, performance, and cost of current breast cancer detection techniques. It is based on an extensive literature review focusing on published works reporting the main performance, cost, and comfort/compliance metrics considered. Conclusion: Due to limitations and drawbacks of existing breast cancer screening methods there is a need for better screening methods. Emerging, non-invasive methods offer promise to mitigate the issues particularly around comfort/pain and radiation dose, which would improve compliance and enable all ages to be screened regularly. However, these methods must still undergo significant validation testing to prove they can provide realistic screening alternatives to the current accepted standards.
Combining Static and Dynamic Contract Checking for Curry

Static type systems are usually not sufficient to express all requirements on function calls. Hence, contracts with pre- and postconditions can be used to express more complex constraints on operations. Contracts can be checked at run time to ensure that operations are only invoked with reasonable arguments and return intended results. Although such dynamic contract checking provides more reliable program execution, it requires execution time and could lead to program crashes that might be detected with more advanced methods at compile time. To improve this situation for declarative languages, we present an approach to combine static and dynamic contract checking for the functional logic language Curry. Based on a formal model of contract checking for functional logic programming, we propose an automatic method to verify contracts at compile time. If a contract is successfully verified, it can be omitted from dynamic checking. This method decreases execution time without degrading reliable program execution. In the best case, when all contracts are statically verified, it provides trust in the software since crashes due to contract violations cannot occur during program execution.
Interpretação de pronomes sujeito anafóricos e catafóricos por falantes de português L2: efeitos da língua materna

This paper investigates the interpretation preferences for null and overt subject pronouns in anaphoric and cataphoric contexts in L2 Portuguese and, specifically, whether: i) the L1 of the participants (Italian and German) influences their interpretation; ii) there is evidence of development; iii) there are differences determined by pronoun type and context. The results of a picture selection task administered to the L2 groups and a group of L1 adults show that the distinction between null and overt subjects is established early; learners distinguish anaphoric and cataphoric contexts and their performance may be influenced by processing constraints; there is some development from beginner to advanced level, visible in the Italian group mainly for overt pronouns; and the proximity of the L1 appears to facilitate L2 acquisition.
Impact Of Teaching Engineering Concepts Through Creating Lego Based Assistive Devices

LEGO robotics is not all that new to the classroom.Teachers have used the toolset to teach STEM subjects in exciting and hands-on ways.Sure students appear to be more engaged and appear to be learning, but how does such a curriculum impact students' attitudes and knowledge?How do you design such a curriculum of robotics to also appeal to female students?These are questions this study attempts to answer.The study involves a 15-hour robotics unit that has groups of students design, construct, and test an assistive device they create using the LEGO robotics toolset.The curriculum was designed to address specific standards from the Massachusetts state curriculum frameworks.The assistive device theme was chosen to appeal to both males and females for whom engineering has, traditionally, not been appealing.The curriculum was then taught by a pair of teachers who had been trained in the LEGO toolset and curriculum in a two-week summer professional development workshop, which addresses yet another question.Can a teacher novice to LEGO robotics effectively teach such a curriculum with just two weeks worth of training?To answer these questions, the teachers from the summer professional development workshop (n=12, female=6, male=6) were interviewed and given knowledge surveys before and after the workshop, and a seventh grade classroom of Boston Public School students (n=24, female=14, male=10 ) were given attitude and knowledge surveys before and after the unit.The attitude survey assessed the students' perceptions of both science and engineering while the knowledge survey assessed questions modified from the Massachusetts Comprehensive Assessment System (MCAS).The results of the study revealed significant achievement on the knowledge assessment and, somewhat surprisingly, a much more significant increase in the females' perception of the usefulness of engineering as opposed to the males'.
Towards Adaptability of Demonstration-Based Training of NPC Behavior

Using demonstration to guide behavior generation for non-player characters (NPCs) is a challenging problem. Particularly, as new situations are encountered, demonstration records often do not closely correspond with the task at hand. Open-world games such as The Elder Scrolls V: Skyrim or Borderlands often reuse locations within the game world for multiple quests. In each new quest at each location, the particular configuration of game elements such as health packs, weapons, and enemies changes. In this paper, we present an approach that utilizes user demonstrations for generating NPC behaviors while accommodating such variations in the game configuration across quests.
Investigation on the effect of the variability of risk and funding on innovation on firms

The aim of this study was to evaluate the effect of the variability of risk and funding on innovation. This study is based on analysis of library study and also based on analytical panel (data panel data). Methodology: In this study, financial information of 109 firms listed in the Tehran Stock Exchange during the period 2009 to 2013 is studied. To analyze the results of this investigation some software like, SPSS 20, Eviews 17 and Minitab 16 has been used. Results: The results in connection with the confirmation of the first assumption suggest that the variability of risk and innovation of firms, there is a significant relationship. Also with regarding of the analysis made in connection with the second assumption to the conclusion that between the funding of research and innovation, there is a significant relationship and Conclusion: Finally, according to the analysis made in connection with the assumption a third study found that the variability of the risk of financing and innovation, there is a significant &amp; direct relationship.
Unsupervised prototype reduction for data exploration and an application to air traffic management initiatives

We discuss a new approach to unsupervised learning and data exploration that involves summarizing a large data set using a small set of “representative” elements. These representatives may be presented to a user in order to provide intuition regarding the distribution of observations. Alternatively, these representatives can be used as cases for more detailed analysis. We call the problem of selecting the representatives the unsupervised prototype reduction problem. We discuss the KC-UPR method for this problem and compare it to other existing methods that may be applied to this problem. We propose a new type of distance measure that allows for more interpretable presentation of results from the KC-UPR method. We demonstrate how solutions from the unsupervised prototype reduction problem may be used to provide decision support for the planning of air traffic management initiatives, and we produce computational results that compare the effectiveness of several methods in this application. We also provide an example of how the KC-UPR method can be used for data exploration, using data from air traffic management initiatives at Newark Liberty International Airport.
Position Paper: Using Early Goal Test in A*

This paper focuses on the stopping condition of A*. Traditionally, A* is described such that the goal test is done oncea node is chosen for expansion (A*-LATE). An alternativeway is to perform the goal test when a node is generated (A*-EARLY). In this position paper we compare the two approaches from pedagogical and practical aspects and advocatefor teaching and using A*-EARLY.
Towards Dynamic Verifiable Pattern Matching

Verifiable pattern matching enables users to obtain authenticated query results over outsourced data on an untrusted remote server. It is a fundamental problem in many security-critical big data applications, including big database search, human genome data search, text search, etc., especially when these applications are outsourced to third-party clouds. However, the state-of-the-art schemes do not yet support efficient data updates. In this work, we propose the first dynamic verifiable pattern matching scheme to support efficient data updates. The proposed scheme is built on two ideas: one is to embed unique randomness to decouple the character and its index in the outsourced data, enabling efficient data updates; the other is to reduce the verifiable pattern matching problem to a discrete set membership testing problem, which relies on the decoupling introduced in the first idea. Based on these two ideas, the proposed scheme first employs the suffix array index structure to search pattern matching queries. The scheme then authenticates the outsourced text using a newly designed authenticated data structure based on the RSA accumulator, which guarantees the verifiability of pattern matching query results. Data update is naturally supported using the RSA accumulator working on discrete sets. Based on the proposed design, we have prototyped a proof-of-concept for the proposed scheme and have conducted an extensive experimental evaluation. In addition to supporting efficient data update, our experimental results show that the proposed scheme incurs reduced verification cost in comparison with the baseline state-of-the-art scheme.
Needs Assessment of Cybercrime and Digital Evidence in a UK Police Force

Cybercrime has recently surpassed, in terms of volume, all other forms of crime in the United Kingdom, and has been acknowledged as a national priority. The purpose of this research is to analyse the police cyber-investigation lifecycle: from the experience of the public when reporting cybercrime to call takers, through to the attending officers, officer(s) in charge, and the many units and roles involved in supporting cybercrime investigations. A large scale needs assessment was conducted within one of the largest police forces in England and Wales, involving focus groups and interviews with police staff and strategic leads across key units and roles. The results of the needs assessment document the state of policing cybercrime in a UK police force, along with the improvements and needs that exist across the force and in specific units and roles. In total, 125 needs were identified and further coded based on a thematic analysis. Common themes identified include: knowledge/training, communication, recording, software, roles, governance, procedures, resources, consistency, staffing, national input, face-to-face, interactions with the public, new capabilities, and triage. The most common needs were related to training and knowledge, communications, quality of recording, software, governance, procedures, resourcing, and national input. Due to the nature of the findings, it is likely that some of these identified areas may parallel other police organisations’ experiences at national and international levels.
Enhanced SPIHT Algorithm with Pipelined Datapath Architecture Design

DOI : 10.26650/electrica.2018.15101 Set partitioning in hierarchical trees (SPIHT) is an efficient algorithm which is used for the image compression widely. SPIHT operates sequentially so, its parallel implementation is difficult. In this study, the SPIHT algorithm is improved for providing that it is suitable for the parallel processing applications, and the corresponding pipelined datapath is designed for the proposed enhanced SPIHT algorithm. The datapath is designed to have three stages as preprocessing, list generation and output stream. In the preprocessing stage, the flags which are supports the list generation stage are constituted. List of insignificant sets (LIS), list of insignificant pixels (LIP) and list of significant pixels (LSP) are formed in list generation stage. These lists contain the bit values which generate the output bit stream. The performance of the improved datapath design has been tested by compressing different images, and the obtained results are given. Cite this article as: Cekli S, Akman A. Enhanced SPIHT Algorithm with Pipelined Datapath Architecture Design. Electrica, 2019; 19(1): 29-36.
Feature Engineering in Persian Dependency Parser

Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser for Persian. The defined feature space in each parser is one of the important factors in its success. Our goal is to generate and extract appropriate features to dependency parsing of Persian sentences. To achieve this goal, new semantic and syntactic features have been defined and added to the MSTParser by stacking method. Semantic features are obtained by using word clustering algorithms based on syntagmatic analysis and syntactic features are obtained by using the Persian phrase-structure parser and have been used as bit-string. Experiments have been done on the Persian Dependency Treebank (PerDT) and the Uppsala Persian Dependency Treebank (UPDT). The results indicate that the definition of new features improves the performance of the dependency parser for the Persian. The achieved unlabeled attachment score for PerDT and UPDT are 89.17% and 88.96% respectively.
A Convex Optimization Framework for Video Quality and Resolution Enhancement From Multiple Descriptions

Transmission and compression technologies advancement over the past decade led to a shift of multimedia content towards cloud systems. Multiple copies of the same video are available through numerous distribution systems. Different compression levels, algorithms and resolutions are used to match the requirements of particular applications. As 4k display technologies are rapidly adopted, resolution enhancement algorithms are of vital importance. Current solutions do not take into account the particularities of different video encoders, while video reconstruction methods from compressed sources do not provide resolution enhancement. In this paper, we propose a multi source compressed video enhancement framework, where each description can have a different compression level and resolution. Using a variational formulation based on a modern proximal dual splitting algorithm, we efficiently combine multiple descriptions of the same video. Two applications are proposed: combining two compressed low resolution (LR) descriptions of a video sequence into a high resolution (HR) description and enhancing a compressed HR video using a LR compressed description. Tests are performed over multiple video sequences encoded with high efficiency video coding, at different compression levels and resolutions obtained through multiple down-sampling methods.
Applications of Data Science in Policing

Data Science is an interdisciplinary field involving the development of processes and systems to extract knowledge and understanding from data in different formats and from different sources. Considering the large amount of data generated and managed by public safety agencies, Data Science applications in the police sector are numerous. More important are the advantages that the different applications of Data Science could provide the police on issues such as the optimization of resources, the increase of efficiency and effectiveness, the modernization and its exemplariness when compared with other institutions. In this paper we present different potential applications fields of Data Science for the police. In addition, we focus on the case of VeriPol, a tool for automatic detection of false violent robbery reports, currently under development by the Spanish National Police. In particular, we illustrate a detailed analysis of the results of a recent pilot study aimed at assessing the effectiveness of the tool.