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Are computer science papers extended after they are published? We have surveyed 200 computer science publications, 100 journal articles, and 100 conference papers, using self-citations to identify potential and actual continuations. We are interested in determining the proportion of papers that do indeed continue, how and when the continuation takes place, and whether any distinctions are found between the journal and conference populations. Despite the implicit assumption of a research line behind each paper, manifest in the ubiquitous 'future research' notes that close many of them, we find that more than 70% of the papers are never continued. [ABSTRACT FROM AUTHOR]

The emergence of new technologies such as AI, machine learning, and so on drives the discussion over human consciousness among researchers from various disciplines, particularly those from philosophy of mind and computer science. This is true since certain academic theories argue that new technologies like those are much more efficient at simulating human tasks. This allows the discussion concerning human consciousness to acquire attention among researchers interested in learning more about human consciousness. As a result, this study provides a bibliometric analysis of human consciousness research from 2000 to 2022 to provide researchers and academics worldwide with an overview of the outcomes and trends in human consciousness research. A textual query on two databases; Scopus (1413 articles), and PubMed (258 papers) using the term "human consciousness" was conducted on 16 August 2022 by collecting 1671 academic works from 2000 to 2022 relating to human consciousness research for in-depth study. Bibliometric analyses were performed using Rstudio software version 4.2.0 and biblioshiniy for bibliometrix to show the current of human consciousness research. This bibliometric study examined the yearly scientific publishing growth, the most productive authors, most often term that has been utilised, most renowned journal name, and which nation has the maximum cooperation with other country. According to the findings of the study, there is a significant inconsistency in worldwide patterns in yearly scientific output, with the number of publications growing and declining. Among all nations, United States of America (USA) published the most papers around human consciousness study. According to the research, it has shown that the most relevant contributors is Jun'ichi Takeno (Scopus), and Brian L Edlow (PubMed). Moreover, the most famous journal in human consciousness research includes Journal of Consciousness Studies (Scopus), and Frontiers in Psychology (PubMed). The significance of this study may aid new researchers in this area by offering information on important publications and authors to refer while undertaking research on this issue. Furthermore, this research helps other researchers understand current trends in this field of study. As an outcome, the objective for conducting this study is to give bibliometric analysis and to fulfill research gaps in bibliometric studies of human consciousness by giving information in the form of an overview, and suggestions. [ABSTRACT FROM AUTHOR]

Graduate employability has become an issue since there are broad mismatches between the acquired graduate skills from university and the required skills by employers. While previous researches have outlined the salient skills that need to be embedded in graduate education, to date no studies have attempted to methodically identify and synthesize the literature on graduate attributes. In this paper a total of 39 relevant studies on graduate skills and attributes in the subject areas of business and management, accounting, and computer science were extracted from Scopus® (database). This revealed a total of 53 graduate attributes, with some being highly used, such as communication, teamwork, problem solving, technological skills, creativity, interpersonal skills, leadership skills, self-management and flexibility/adaptability. The majority of studies used a quantitative survey method to collect and rank graduate attributes, and Australia emerged as the most active country in researching the domain.

Purpose: To analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field of nursing, and to provide a reference for researchers to carry out related studies. Methods: We used the VOSviewer 1.6.17, SciMAT, and CiteSpace 5.8.R3 to generate visual cooperation network maps for the country, organizations, authors, citations, and keywords and perform burst detection, theme evolution, and so forth. Findings A total of 9318 articles were obtained from the Web of Science Core Collection database. Four hundred and thirty‐one AI research related to the field of nursing was published by 855 institutions from 54 countries. CIN‐Computers Informatics Nursing was the top productive journal. The United States was the dominant country. The transnational cooperation between authors from developed countries was closer than that between authors from developing countries. The main hot topics included nurse rostering, nursing diagnosis, nursing decision support, disease risk factor prediction, nursing big data management, expert system, support vector machine, decision tree, deep learning, natural language processing, and nursing education. Machine learning represented one of the cutting‐edge and most applicable branches of artificial intelligence in the field of nursing, and deep learning was the hottest technology among many machine learning methods in recent years. One of the most cited papers was published by Burke in 2004 and cited 500 times, which critically evaluated AI methods to deal with nurse scheduling problems. Conclusions: Although AI has been paid more and more attention to the field of nursing, there is still a lack of high‐yielding authors who have been engaged in this field for a long time. Most of the high contribution authors and institutions came from developed countries; therefore, more transnational and multi‐disciplinary cooperation is needed to promote the development of AI in the nursing field. This bibliometric analysis not only provided a comprehensive overview to help researchers to understand the important articles, journals, potential collaborators, and institutions in this field but also analyzed the history, hot spots, and future trends of the research topic to provide inspiration for researchers to choose research directions. [ABSTRACT FROM AUTHOR]

This article attempts to measure the scientific productivity in terms of number of papers published in journals by authors in the field of information science, compared to the publication pattern for science in general. Information science has been defined by the American Society for Information Science as the science that investigates the properties and behavior of information, the forces governing the flow of information, and the means of processing information, for optimum accessibility and usability. According to this definition, information science emerges as an umbrella-like discipline. If the basic professional society in this discipline is considered to be the American Society for Information Science, then its prime indexing journal may be considered to be "Information Science Abstracts," and its prime review vehicle may be the "Annual Review of Information Science and Technology."

In the 21st century, as part of the fourth industrial revolution, artificial intelligence (AI), is one of the most important and well-known technology. AI also has made it possible to execute human tasks without the need for humans. However, there is one important concern with consciousness. This is because consciousness is one of the most defining qualities between AI and humans. So, this study presents a literature review and bibliometric analysis of artificial and mind consciousness research around the world from 2000 to 2022 in order to provide researchers and scholars around the world with an overview of the results and trends in artificial and mind consciousness research. A textual query on two databases; Scopus (289 papers), and Web of Science (303 papers) using the term "artificial consciousness" OR "mind consciousness" was performed on 10 June 2022 retrieving 509 scholarly papers from 2000 to 2022 related to artificial and mind consciousness studies for in-depth analysis. Bibliometric analysis were performed using Rstudio software version 4.2.0 and biblioshiniy for bibliometrix to visualize and analyze trends of artificial and mind consciousness research. This bibliometric analysis was analyzed the annual scientific publication growth, the most productive authors, most frequent word has been using, most famous journal name, and which countries has highest collaboration with other country. According to the findings of the analysis, there is significant inconsistency in global trends in annual scientific production, with the number of publications increasing and decreasing. Among all countries, United States (USA) contributed the most publications in the field of artificial and mind consciousness research. According to the findings has show the most relevant authors is Kelley TM (Scopus), and Patel AD (WoS). Moreover, the most relevant journals articles in artificial and mind consciousness studies is Procedia Computer Science (Scopus), and Journal Of Consciousness Studies (WoS). The implication of this study is can help new researchers in this field by providing information on relevant publications and authors to consult when conducting research on this topic. Furthermore, this research helps other researchers understand current trends in this area of study. As a result, the justification for doing this study is to provide the first bibliometric analysis and to fill research gaps in bibliometric studies of artificial consciousness and the mind by providing information in the form of a literature review, overview, and guidelines. [ABSTRACT FROM AUTHOR]

Using the InCites tool of Thomson Reuters, this study compares normalized citation impact values calculated for China, Japan, France, Germany, United States, and the UK throughout the time period from 1981 to 2010. InCites offers a unique opportunity to study the normalized citation impacts of countries using (i) a long publication window (1981 to 2010), (ii) a differentiation in (broad or more narrow) subject areas, and (iii) allowing for the use of statistical procedures in order to obtain an insightful investigation of national citation trends across the years. Using four broad categories, our results show significantly increasing trends in citation impact values for France, the UK, and especially Germany across the last thirty years in all areas. The citation impact of papers from China is still at a relatively low level (mostly below the world average), but the country follows an increasing trend line. The USA exhibits a stable pattern of high citation impact values across the years. With small impact differences between the publication years, the US trend is increasing in engineering and technology but decreasing in medical and health sciences as well as in agricultural sciences. Similar to the USA, Japan follows increasing as well as decreasing trends in different subject areas, but the variability across the years is small. In most of the years, papers from Japan perform below or approximately at the world average in each subject area. [ABSTRACT FROM AUTHOR]

Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward "CS for All." This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a large, urban school district in the Western United States, to help inform how CS can truly be for all. This paper explores what student agency looks like while answering the research question "From the perspective of minoritized students historically underrepresented in computing, what makes a critical difference in their sense of agency in introductory CS high school classes?" Our research-practice partnership used qualitative data (including classroom observations, interviews, student artifacts, and video/photos) and surveys to surface the perspectives and visions of minoritized youth. The research describes what student agency looks like as youth – who have had no prior CS learning experiences – use CS as a tool to resist marginalization and dehumanizing school contexts, while declaring their own "rightful presence" in CS classrooms. Findings demonstrate the importance for CS curricula and pedagogy to center the lives of students in ways that are consequential for minoritized youth. This would support deeper engagement with content learning and student agency with computing. [ABSTRACT FROM AUTHOR]

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Focuses on what author perceives to be trends of the 1980s in library education; i.e., dominance of electronic technology and its applications in information science; the stabilization of enrollments; continuing shift in programs from private to public universities; and lack of acceptance of 2-year master's programs. Forty-six references are listed. (EJS)

The subject of computer science (CS) and computer science education (CSE) has relatively recently arisen as a subject for inclusion within the compulsory school curriculum. Up to this present time, a major focus of technologies in the school curriculum has in many countries been on applications of existing technologies into subject practice (both software such as office applications, and hardware such as robots and sensors). Through uses of these applications, information and communications technologies (ICT) have focused on activities to support subject and topic learning (across wide age and subject ranges). Very recently, discussions for including computers in the curriculum have shifted to a much greater focus on computing and CS, more concerned with uses of and development of programming, together with fundamental principles of problem-solving and creativity. This paper takes a policy analysis approach; it considers evidence of current implementation of CSE in school curricula, the six main arguments for wider-scale introduction of the subject, the implications for researchers, schools, teachers and learners, the state of current discussions in a range of countries, and evidence of outcomes of CSE in compulsory curricula. The paper concludes by raising key questions for the future from a policy analysis perspective. [ABSTRACT FROM AUTHOR]

The study discussed in this article attempts to trace the research trends in information and communication technology (ICT) in top 10 countries during 1999-2018, as reflected by scholarly publications index in the Scopus database. During the mentioned time period, total 18,382 research papers were published. Of these, maximum 1622 (8.82%) records were published in 2017. The annual growth (- 11.07 to 51.30) and the compound annual growth (- 0.01 to 0.23) have shown a fluctuating trend. However, a considerable number of records (7345) were published in the field of computer science while 52.35% of the records (9623) were journal article-type publications. 'Information and communication technology' was the most significant keyword used in 4997 records while the average (145.3) publications were contributed by top 10 organizations in which Japan National Institute of Information and Communications Technology was the most productive organization with 256 records. The maximum contributing country was the United States, standing for 22% of the total publications produced. Toyoshima, M. is the most prolific author with 53 publications on a particular topic, that is, ICT. The overall relative growth has shown a decreasing trend (0.92 to 0.09) while during the period of study, the doubling time has shown an increasing trend (0.75 to 7.54). Out of the total 18,382 records, total 209,919 citations were recorded in which the maximum citations (20,548) were found in 2010. Out of the total 55,913 research papers, maximum (5058) records were contributed by two authors while the least number of publications (2186) came from four authors. The mean value of the degree of collaborations was 0.92 and the overall degree of collaboration has exhibited an increasing trend during the period of study. The average author's collaboration coefficient and modified collaboration coefficient was recorded to be 0.69 while collaborative index was recorded at 4.21. However, Lotka's law of authors' productivity shows, the authors observed are somehow unlike from the numbers of authors expected during the period of study. [ABSTRACT FROM AUTHOR]

The Third International Conference on Data Engineering was held in Los Angeles, California on February 2 to 6, 1987. The conference was designed as an international forum for bringing together researchers, developers, managers, strategic planners and other users with an interest in the research, design and development of data engineering methodologies, strategies and systems. Its scope includes computer science, artificial intelligence, electrical engineering, and computer engineering. It featured papers from all major areas of data engineering, including database design and modeling, performance evaluation, algorithms, integrity, security, fault tolerance, query language, artificial intelligence approaches, knowledge bases, database machines, distributed databases and data engineering applications.

Constraints arise naturally in many scientific experiments/studies such as in, epidemiology, biology, toxicology, etc. and often researchers ignore such information when analyzing their data and use standard methods such as the analysis of variance (ANOVA). Such methods may not only result in a loss of power and efficiency in costs of experimentation but also may result poor interpretation of the data. In this paper we discuss constrained statistical inference in the context of linear mixed effects models that arise naturally in many applications, such as in repeated measurements designs, familial studies and others. We introduce a novel methodology that is broadly applicable for a variety of constraints on the parameters. Since in many applications sample sizes are small and/or the data are not necessarily normally distributed and furthermore error variances need not be homoscedastic (i.e. heterogeneity in the data) we use an empirical best linear unbiased predictor (EBLUP) type residual based bootstrap methodology for deriving critical values of the proposed test. Our simulation studies suggest that the proposed procedure maintains the desired nominal Type I error while competing well with other tests in terms of power. We illustrate the proposed methodology by re-analyzing a clinical trial data on blood mercury level. The methodology introduced in this paper can be easily extended to other settings such as nonlinear and generalized regression models. [ABSTRACT FROM AUTHOR]

The Capsule Reviews are intended to provide a short succinct review of each paper in the issue in order to bring it to a wider readership. The Capsule Reviews were compiled by Fairouz Kamareddine. Professor Kamareddine is an Associate Editor of The Computer Journal and is based in the Department of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh, UK. [ABSTRACT FROM AUTHOR]

In this paper we present a method for the recognition of hand-written digits and a practical implementation of this method for real-time recognition. A theoretical framework for the neural networks used to classify the handwritten digits is also presented. The classification task is performed using a Convolutional Neural Network (CNN). CNN is a special type of multi-layer neural network, being trained with an optimized version of the back-propagation learning algorithm. CNN is designed to recognize visual patterns directly from pixel images with minimal preprocessing, being capable to recognize patterns with extreme variability (such as handwritten characters), and with robustness to distortions and simple geometric transformations. The main contributions of this paper are related to the original methods for increasing the efficiency of the learning algorithm by preprocessing the images before the learning process and a method for increasing the precision and performance for real-time applications, by removing the non useful information from the background. By combining these strategies we have obtained an accuracy of 96.76%, using as training set the NIST (National Institute of Standards and Technology) database. [ABSTRACT FROM AUTHOR]

This paper intends to explore the impact of Information technology (IT) development on the legal concept of `signatures'. To what extent and in which way does it impact on the legal concept of `signatures'? This paper attempts to examine this issue from an international and comparative perspective. It was found that IT development has different levels of impact on the legal concept of `signatures' in different jurisdictions. In the Common Law system such as the UK and the US, it does not change the legal concept of `signatures'. However, it does put the legal concept on such an important position. On the contrary, IT development changes the legal concept of `signatures' in the Civil Law system such as Germany and China. [ABSTRACT FROM AUTHOR]

The author has surveyed a quarter of the accredited undergraduate computer science programs in the United States. More than half of these programs offer a "social and ethical implications of computing" course taught by a computer science faculty member, and there appears to be a trend toward teaching ethics classes within computer science departments. Although the decision to create an "in house" computer ethics course may sometimes be a pragmatic response to pressure from the accreditation agency, this paper argues that teaching ethics within a computer science department can provide students and faculty members with numerous benefits. The paper lists topics that can be covered in a computer ethics course and offers some practical suggestions for making the course successful. [ABSTRACT FROM AUTHOR]

In educational research, investigators in one field are often ignorant of similar research in other fields. Physics education in particular has undergone dramatic reforms in recent years, all based on insights gained from conducting educational research. Often, pedagogical methods resulting from research in one field can be revised and transferred to another. This paper demonstrates that many methods used in physics and other science programmes Throughout this paper, programme will refer to the curricular concept and program will refer to computer programs. can be adapted to teaching computer science. The author has pursued action research in computer science and implemented ideas from science education, especially from physics education, in teaching computer science classes at a small religious secondary school in the southwestern United States. This paper presents ideas and teaching strategies with the hope of building bridges between computer science education research and other science education research. [ABSTRACT FROM AUTHOR]

Computer science (CS) education is plagued by a gender divide, with few girls and women participating in this high-status discipline. A proven strategy to broaden participation for girls and other underrepresented students interested in CS is the availability of teacher preparation that requires classroom teachers to grow their knowledge of CS content as well as the pedagogical practices that enhance inclusive learning opportunities for historically underrepresented students. This case study describes the design and impact of an Online Professional Development (PD) for CS teachers, a year-long PD program aimed at broadening participation in the United States. Using survey and observation data from more than 200 participants over three years in PD settings, this paper examines how the design of an online learning community model of PD provides an inclusive venue for teachers to examine their belief systems, develop inclusive pedagogical practices, and collectively transform the culture of CS classrooms to places that support all learners. Findings suggest that purposeful facilitation creates a transformative culture of "shared experience" whereby facilitators and groups of teachers engage in collaborative lesson planning and debriefing discussions, in both synchronous and asynchronous sessions. This case study can inform other online PD efforts aimed at broadening participation in computing. [ABSTRACT FROM AUTHOR]

How do intellectual property rights influence academic science? We investigate the consequences of the introduction of software patents in the United States on the publications of university researchers in the field of computer science. Difference-in-difference estimations reveal that software scientists at US universities produced fewer publications (both in terms of quantity and quality) than their European counterparts after patent rights for software inventions were introduced. We then introduce a theoretical model that accounts for substitution and complementarity between patenting and publishing as well as for the direction of research. In line with the model's prediction, further results show that the decrease in publications is largest for scientists at the bottom of the ability distribution. Furthermore, we evidence a change in the direction of research following the reform toward more applied research. [ABSTRACT FROM AUTHOR]

Background: Increasing emphasis in performance-based payment, public reporting, and quality improvement (QI) has led to widespread interest in measuring and improving the quality of care. By 2014, hospice programs will be required to report quality data to the federal government or incur financial penalties. With this increased interest in quality reporting comes an opportunity to develop informatics tools to capture data that reflect the complex practices involved in palliative care (PC). Therefore, there is a need to disseminate information on developing tools that facilitate capturing data and fostering improved performance. The Veterans Health Care Administration, a national leader in health information technology (HIT) and PC, established the Quality Improvement Resource Center (QuIRC) to develop innovative HIT tools to standardize and improve PC practices throughout the 153 Department of Veterans Affairs (VA) medical centers nationwide. Objective: The aim of the paper is to describe the development of the Palliative Care-National Clinical Template (PC-NCT) for documenting initial PC consults. Results: Domains of quality of life provided the foundation for this template. Principles of user-centered informatics design guided development activities. A national consensus panel of PC experts prioritized quality indicators as targets for QI. An interdisciplinary team of PC providers identified desired aspects of template functionality. QuIRC balanced PC providers' desired aspects of functionality against the feasibility within the VA HIT system. Formal pilot and usability testing contributed to numerous iterations of the PC-NCT currently piloted in five geographically distributed sites. Conclusion: This paper presents a robust approach to developing an informatics tool for PC practice. Data collected via the PC-NCT will bring variations in current practice into view and assist in directing resources at 'important targets' for QI. Although the development of HIT tools to quantify PC practice is complex, there is enormous potential to improve the quality of care for patients and families facing serious illnesses. [ABSTRACT FROM AUTHOR]

This paper examines students' pre-college experience with computers. It finds significant gender differences in how students develop interest in computers; exposure to computers at home; availability of computers in high schools; and high-school preparations for college study in a computing field. The paper has a number of implications to improve the digital divide for women. It is based on 150 in-depth interviews of female and male undergraduate students, members of five major ethnic/racial groups (White, Afro-American, Hispanic, Asian American, and Native American) from seven institutions in the USA. [ABSTRACT FROM AUTHOR]

Presents a series of literary papers from the U.S.-based Workshop on Advances in Parallel and Distributed Computational Models, published in the February 2003 issue of 'International Journal of Foundations of Computer Science.' Features of the workshop; Method for selecting literary papers for the issue.

The generalization error bounds found by current error models using the number of effective parameters of a classifier and the number of training samples are usually very loose. These bounds are intended for the entire input space. However, support vector machine (SVM), radial basis function neural network (RBFNN), and multilayer perceptron neural network (MLPNN) are local learning machines for solving problems and treat unseen samples near the training samples to be more important. In this paper, we propose a localized generalization error model which bounds from above the generalization error within a neighborhood of the training samples using stochastic sensitivity measure. It is then used to develop an architecture selection technique for a classifier with maximal coverage of unseen samples by specifying a generalization error threshold. Experiments using 17 University of California at Irvine (UCI) data sets show that, in comparison with cross validation (CV), sequential learning, and two other ad hoc methods, our technique consistently yields the best testing classification accuracy with fewer hidden neurons and less training time. [ABSTRACT FROM AUTHOR]

Being a journal editor is one of the most exciting positions in any scientific field. You get a frontrow seat for all of the best research and scholarly work being done in the field. The Independent Sector (IS) Spring Research Forum for 2001, which was devoted to technology was held some months back. But as a longtime technology buff, the author had like to offer several impressions of the way nonprofits are now using information technology (IT), as reflected in the conference and elsewhere. First, it was interesting to see how far they have come in the six years since the first conference on nonprofit technology, organized by Tim Akers at Michigan State in 1995. One of the major subtexts of the 1995 conference was a not-so-subtle message to the nonprofit community: there is much to learn from what higher education has done with IT and this new thing called the Internet. Another strong impression was that after years of hesitation and uncertainty a sectorwide embrace of IT, though still somewhat halting and uncertain at times, is now real and widespread. Technology use is no longer restricted to the early adopters. The technology revolution is finally well under way in the mainstream of the nonprofit world.

The high-tech sector is concentrated in a small number of cities. The ten largest clusters in computer science, semiconductors, and biology account for 69 percent, 77 percent, and 59 percent of all US inventors, respectively. Using longitudinal data on 109,846 inventors, I find that geographical agglomeration results in significant productivity gains. When an inventor moves to a city with a large cluster of inventors in the same field, she experiences a sizable increase in the number and quality of patents produced. The presence of significant productivity externalities implies that the agglomeration of inventors generates large gains in the aggregate amount of innovation produced in the United States. (JEL D62, J24, L60, O31, 034, R32) [ABSTRACT FROM AUTHOR]

Student retention is one of the greatest challenges facing computer science programs. Difficulties in an introductory programming class often snowball, resulting in poor student performance or dropping the major completely. In this paper, we present an analysis of 197 students over 6 semesters from 11 sections of an introductory programming class at a private four-year liberal arts university in the southeastern United States. The goal of this research was to find the earliest point in the assessment sequence which could predict final grade outcomes. Accordingly, we measured the degree of correlation between student performance on quizzes, labs, programs, and tests compared to final course grade. Overall, the results show a strong positive correlation for all four assessment modalities. These results hold significance for educators and researchers insofar as the body of computing education research is extended by evaluating the relative effectiveness of early semester subsets of each of the four categories of student data to model class outcomes. [ABSTRACT FROM AUTHOR]

The origin and history of Landauer's principle is traced through the development of the thermodynamics of computation at IBM from 1959 to 1982. This development was characterized by multiple conceptual shifts: memory came to be seen not as information storage, but as delayed information transmission; information itself was seen not as a disembodied logical entity, but as participating in the physical world; and logical irreversibility was connected with physical, thermodynamic, irreversibility. These conceptual shifts were characterized by an ambivalence opposing strong metaphysical claims to practical considerations. Three sorts of practical considerations are discussed. First, these conceptual shifts engaged materials central to IBM's business practice. Second, arguments for metaphysical certainties were made with reference to the practical functioning of typical computers. Third, arguments for metaphysical certainties were made in the context of establishing the thermodynamics of information as a sub-discipline of physics. [ABSTRACT FROM AUTHOR]

Clinical next generation sequencing (NGS) technologies are challenging existing regulatory paradigms. We advocate a coordinate policy approach, which first requires a comprehensive understanding of the existing regulatory and legal structures. This paper introduces four key policy domains - including quality assurance, insurance coverage, intellectual property management, and data sharing - that must be addressed to ensure high quality clinical NGS. In bringing these policy issues into conversation through this special issue for the Journal of Law, Medicine & Ethics, we hope to lay the foundation for further discussion by a range of stakeholder groups with diverse and strong interests in the governance of NGS. [ABSTRACT FROM AUTHOR]

Engineering resilient cyber physical systems (CPS) is viewed as a systems engineering (SE) challenge. The research and education programs in computer and software security and resilience were advanced through the 1990's with many formal approaches to system reliability, security, dependability, and safety. Since that time, the internet and the information security needs in information technology (IT) systems has had a large education focus. Meanwhile, the scale and complexity of today's critical computing systems used in engineering domains has increased immensely. There has not been a related increased focus on research, knowledge, and education specifically addressing dependable and secure computing in domains such as infrastructure, industrial control, defense, and emerging commercial autonomous systems and the Internet of Things (IoT). While security education in the U.S. has greatly expanded in the domain of IT systems and related computer science and engineering fields, there exists a lack of engineering education programs and opportunities for engineering graduates to gain knowledge and skills related to design of secure, safe, and dependable CPS, what we call resilient CPS. There is also a lack of investment in laboratory facilities that can simulate large scale CPS, which are costlier to develop than IT related facilities. Formal research or studies in CPS and resilient computing related curricula are also difficult to find, although the domain is well researched. This paper discusses the primary foundations and characteristics of resilient CPS as a step toward a general taxonomy, the emerging needs and gaps in engineering education related to these systems, and the knowledge areas and bodies of knowledge that are already established or need to be developed in the education system. The goal is to bring broad attention in the systems engineering community to these needs. [ABSTRACT FROM AUTHOR]

The Advanced Encryption Standard (AES) is a 128-bit block cipher with a user key of 128, 192 or 256 bits, released by NIST in 2001 as the next-generation data encryption standard for use in the USA. It was adopted as an ISO international standard in 2005. Impossible differential cryptanalysis and the boomerang attack are powerful variants of differential cryptanalysis for analysing the security of a block cipher. In this paper, building on the notions of impossible differential cryptanalysis and the boomerang attack, we propose a new cryptanalytic technique, which we call the impossible boomerang attack, and then describe an extension of this attack which applies in a related-key attack scenario. Finally, we apply the impossible boomerang attack to break 6-round AES with 128 key bits and 7-round AES with 192/256 key bits, and using two related keys we apply the related-key impossible boomerang attack to break 8-round AES with 192 key bits and 9-round AES with 256 key bits. In the two-key related-key attack scenario, our results, which were the first to achieve this amount of attacked rounds, match the best currently known results for AES with 192/256 key bits in terms of the numbers of attacked rounds. The (related-key) impossible boomerang attack is a general cryptanalytic technique, and can potentially be used to cryptanalyse other block ciphers. [ABSTRACT FROM AUTHOR]

This paper examines the role of Cold War military systems science in the emergence of a nonlinear view of war within the US military. It argues that US military ambivalence towards systems science and seeds of a nonlinear worldview within the systems sciences help to explain the enlistment of nonlinear sciences like chaos and complexity theories. The turn to nonlinear science represents not a radical break with, but rather the evolution of a worldview whose roots can be traced to US military responses to Cold War exigencies. [ABSTRACT FROM AUTHOR]

This paper examines the degree of multidisplinary cooperation for Geographic Information Science (GIS) education programs that award GIS-related degrees or certificates at US colleges and universities. We classified departments and courses into ten major disciplines using Dewey Decimal Classification. In the 2007-2008 academic year, approximately 40 per cent of GIS education programs related to multiple disciplines and nearly 20 per cent were involved with more than three disciplines. Geography was the major provider of GIS education programs, but the ratio between geography-related discipline and other disciplines combined was approximately 1:3. Fostering multidisciplinary GIS education programs should strengthen geography in general as well as GIS education. [ABSTRACT FROM AUTHOR]

This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were extracted from each student's record, and the variables were correlated with whether the student did or did not successfully graduate from the program. A multivariate model was developed that predicts success with a high degree of accuracy. Importantly, the model relies on variables that can be determined reasonably early in a student's Ph.D. class work, enabling its use as a selection metric. Hypotheses about the composition of the model are also presented and discussed. [ABSTRACT FROM AUTHOR]

Using the pipeline metaphor as the conceptual framework, the current paper presents gender differences in computer science (CS) and computer engineering (CE) students' study aspirations in elementary and high schools, the extent to which they hold a study-related job while in college and their career aspirations after graduating from college. It highlights some of the weak joints of the pipeline and suggests a number of implications to improve representation of women in computing field. It is based on 150 interviews with undergraduate male and female students belonging to five major ethnic/racial categories (White, African-American, Hispanic, Asian American, Native American) from seven institutions in the USA. [ABSTRACT FROM AUTHOR]

Mental health disorders are the leading cause of disability and functional impairment in the United States (1 in 5). The negative effect of mental health disorders is felt both in the personal and public lives of the affected individuals, particularly in the workplace where it adversely impacts productivity. Only a small fraction of the affected people in the work force seeks help. The cost to employers and the economy of these untreated individuals is staggering. Some employers have tried to address employees’ emotional well-being by establishing Employee Assistance Programs. Yet, even these programs do not sufficiently address existing barriers to the detection and treatment of mental health disorders in the workplace. This paper describes the design of an automated workplace program that uses an Interactive, computer-assisted telephonic system (Interactive Voice Response or IVR) to assess workers for a variety of mental health disorders and subsequently refers untreated and inadequately treated workers to appropriate treatment settings. [ABSTRACT FROM AUTHOR]

The last twenty years has seen the development of demand for a new type of computing professional, which has resulted in the emergence of the academic discipline of Information Technology (IT). Numerous colleges and universities across the country and abroad have responded by developing programs without the advantage of an existing model for guidance. Efforts to define a model curriculum for IT began at the first Conference on Information Technology curriculum (CITC-1) in December 2001, which included representatives from 15 IT programs at four-year universities across the United States. Membership in SIGITE (Special Interest Group Information Technology Education) has grown to over 400 representing many of the four-year IT programs in the United States and abroad and some of the two-year IT programs in the United States. Continued development of the curriculum and subsequent funding by the Education Board of ACM enabled the completion of a first draft of the model curriculum for IT establishing program outcomes and a body of knowledge defining the discipline. This paper presents an overview of the process followed and the results achieved. [ABSTRACT FROM AUTHOR]

Providing adequate computing lab support for Management Information Systems (MIS) and Computer Science (CS) programs is a perennial challenge for most academic institutions in the US and abroad. Factors, such as lack of physical space, budgetary constraints, conflicting needs of different courses, and rapid obsolescence of computing technology, precipitate this challenge. While introductory computing courses can be adequately supported through general labs, advanced computing courses typically require dedicated labs. Normally, however, even a dedicated lab must simultaneously support multiple courses with diverse support requirements. Consequently, in designing dedicated computing labs, versatility and flexibility of the lab must be the prime consideration. Drawing on the insights gained from developing a dedicated lab, the authors present a model for developing a versatile, flexible lab to support computer network courses. The proposed model entails a modular design approach which offers ease of management, configuration and upgrading of the lab by decoupling the lab functions into layers. The layered design divides the lab into four management layers: (1) wiring layer, (2) networking layer, (3) server systems layer, and (4) support procedures layer. Each layer offers a versatile and configurable design and serves as a foundation for the next higher layer. Wiring layer minimizes the wire configuration efforts and enhances wiring flexibility by utilizing patch panels at the computer desks and the racks housing networking devices, and sufficient underground wiring between desks and racks. The underground wiring allows for network, telephone and serial cable connections as needed. Network layer builds LANs, subnets and internets with minimal configuration effort through a careful arrangement of network hubs, switches, routers, and firewalls. The network layer distinguishes between permanent networks needed in the lab, called pre-configured networks, and the networks that are assembled and disassembled by the students, called configurable networks. The network address allocation schemes for different types of network experiments are also discussed. Server systems layer covers two categories of servers: pre-configured servers and configurable servers. Pre-configured servers, such as DNS and file servers, are production servers that support network experiments. Configurable servers are hardware platforms that can be configured as needed according to experimental needs. The last layer, procedural layer, provides policies, guidelines and operational procedures that are needed for proper utilization of the lab space and the equipment. The paper also illustrates the application of the proposed model through the design and configuration of the computing lab for network courses underlying this case study. [ABSTRACT FROM PUBLISHER]

Efforts to define IT curriculum and accreditation standards began at the first Conference on Information Technology Curriculum (CITC-1) in December 2001, which included representatives from 15 Information Technology (IT) programs at four-year schools in the United States, and representatives from the Association for Computing Machinery (ACM), the Institute for Electrical and Electronic Engineers (IEEE), and the Accreditation Board for Engineering and Technology (ABET). Since this conference, this work has been ongoing at CITC-2 (April 2002), CITC-3 (September 2002), and CITC-4 (October 2003), and through committee work which has progressed between these conferences. The three main thrusts of this work have been to define standards for accreditation of IT programs, to define a model curriculum for IT programs, and to distinguish IT programs from the most closely-related academic programs, such as Information Systems and Computer Science. Membership in SIGITE (Special Interest Group on Information Technology Education) of the ACM is now over 300 members and represents most 4-year IT programs and several 2-year IT programs in the United States; the outcome of these three main thrusts should therefore be of wide interest to all those in related programs or at institutions considering forming a similar program. This paper gives some of the details of the results of the work on these three thrusts. [ABSTRACT FROM AUTHOR]

In his "Star Wars" speech, President Ronald Reagan asked the "scientific community" to develop missile defense technologies that would render the massive Soviet nuclear arsenal "impotent and obsolete." This paper compares the voices of two communities, physics and computing, who attempted to reply to Reagan's proposal as scientists . While physicists framed Star Wars in terms of simple systems which were subject to fundamental physical laws, computer professionals framed the proposal in terms of complex systems and patterns of production. When disputes within each of these communities erupted into the public sphere, physicists were able to find a measure of consensus around an authoritative discourse of natural laws, while the computing professionals' discourse remained fragmented between theory and practice, never achieving the same level of closure. These disputes struck at the heart of professional identities, even as they raised the question of what forms of expertise could speak to a public policy culture that expects certainty from its scientists. [ABSTRACT FROM AUTHOR]

The past several decades have seen enormous growth in the computing sciences, marked by increased educational and professional opportunities. Noting the implications of these opportunities for individual life chances and for social and economic developments, we explore demographic patterns in terms of varying representation in computing in the United States (U.S.). Using currently available data to delineate the demography of U.S. computing, the analysis points to deeply institutionalized and contextually embedded factors and relationships affecting educational and workforce participation and inclusion. Findings confirm that, despite growth in the number of computer science degrees awarded in the United States, the demographic diversity of degree recipients has been slow to change. Moreover, the U.S. advanced-degreed computing workforce is less diverse than workforce segments with lower educational credential requirements. Such findings are presented not merely relative to questions of numerical representations but also in terms of the sociocultural and institutional processes that determine participation and inclusion in computing. [ABSTRACT FROM AUTHOR]

New Jersey Institute of Technology (NJIT) has convened the yearly Conference on Computer Science Education in the Secondary Schools since 1995 to discuss and carry out a systematic study of issues facing computer science education in the state of New Jersey. The goal is to address the implications of these curricular issues, identify the obstacles to classroom implementation, and to make suggestions for possible solutions. The outcome of these conferences is a clear indication that a seamless articulation between high-school programs and those at university level is of critical importance for secondary school educators and could serve as the foundation for implementing a computer science curriculum in the schools. This paper reviews the current status of secondary schools computer science education in the state of New Jersey and discusses curriculum guidelines formulated by conference participants, themselves classroom teachers. This work, along with previous curriculum recommendations reported in the literature, is intended to serve as the stepping-stone towards establishing and promoting computer science as a recognized discipline in New Jersey's secondary schools. [ABSTRACT FROM AUTHOR]

A comparison between the development of cognitive science in France and the USA enables us to analyze some national differences linked to specific connections between the scientific, military, economic and political worlds. The influence of new practices and tools developed during World War II and the Cold War appears to be of crucial importance in understanding the development of this new field, as well as that of cybernetics, computer science, artificial intelligence and molecular biology. This paper can be considered as a study in how the differing contexts in France and the USA shaped the history of the construction of cognitive science in each of these two countries. In spite of various differences, some common aspects may be pointed out: in both cases, computer experts and psychologists using a computational modelling approach were those first engaged in the construction of cognitive science. If in France neuroscience-oriented cognitive science research was stronger than in the USA, it seems that the artificial intelligence orientation is also of growing importance in France. [ABSTRACT FROM AUTHOR]

There is little argument that early investment in computing and communications (C&C) research and development (R&D) has paid off, given the growth and vitality of the computing industry in the United States. Less clear are how and why federal C&C research support has been effective overall; guidance for future research policy can come from an examination of history. Whereas a vigorous industry has been visible for decades, many outside observers who question the need for federal C&C research support are often ignorant of the continuing exploitation by industry of science and technologies developed decades ago via past support and how such support has complemented industrial activities. This paper outlines how the organization of federal funding for C&C R&D has helped to make such funding so fertile, noting dimensions that may be of enduring value even as circumstances change. It focuses on the High Performance Computing and Communications Initiative of the 1980's and early 1990's, which evolved from earlier funding programs and influences current programs and prospects.[l] By design (and reflecting space limitations), the paper emphasizes positive aspects that may be relevant for the future. [ABSTRACT FROM AUTHOR]

The Irvine School refers to an intellectual perspective on information technology in complex organizational settings that emerged at the University of California in Irvine, California (UCI), over the last three decades of the 20th century. In many ways, the rise of the Irvine School was synonymous with the rise of researcher Rob Kling's influence on the international community of scholars who would eventually form what Kling called social informatics. This article reflects on Kling's role in the creation of the Irvine School. Kenneth Kraemer, an architect and city planner by training, had joined the UCI Graduate School of Administration in 1967. He was one of the first scholars to begin careful empirical study of the effect of computerization in government agencies, and soon started a research program on information technology and local government at UCI's Public Policy Research Organization. In the early 1970s, researchers Jim Danziger and Rob Kling joined him in this endeavor. Danziger had been trained in political science and public administration. Kling had been trained in electrical engineering and computer science, and had done important work at the intersection of fuzzy logic and planning systems in the area of symbolic artificial intelligence.

Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El Paso, TX 79968, USA. [ABSTRACT FROM AUTHOR]

This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA. [ABSTRACT FROM AUTHOR]

Background: The application of regulatory informatics to identify trends in clinical trials is a new methodology with the potential to shape drug development programs. As an endpoint in hematologic malignancies, minimal residual disease (MRD) measures the depth of response to treatment, and has been given initial attention in draft regulatory guidelines and workshops by health authorities in the EU and US. Methods: In this paper, we analyze hematologic malignancy trials by searching for terms in Trialtrove, parsing the data sets with ActivePerl, and determining significance with the statistical package R. Results: We identify trends in the use of MRD compared to other endpoints and in different indications over time from 2005 to 2014. Results show that 2 trends of endpoint and MRD use emerge over time and the use of MRD as a primary endpoint is growing. We also take a case-study approach to investigate the functional context of MRD in chronic lymphocytic leukemia and show that it is predominantly used to determine MRD-negativity and also in correlation with other endpoints. Conclusion: The application of informatics tools to regulatory science can evaluate the role and context of MRD as it evolves in the changing pharmaceutical landscape. [ABSTRACT FROM AUTHOR]

Focuses on computer science education in high school in the United States. Model for high school computer science studies; Issues facing high school teachers; Research carried out on the study of computer science in high school.