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2. Annual Proceedings of Selected Research and Development Papers Presented at the Annual Convention of the Association for Educational Communications and Technology (40th, Jacksonville, Florida, 2017). Volume 1
- Author
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Association for Educational Communications and Technology, Simonson, Michael, and Seepersaud, Deborah
- Abstract
For the fortieth time, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Jacksonville, Florida. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 19 papers dealing primarily with research and development topics. Fourteen papers dealing with the practice of instructional technology including instruction and training issues are contained in Volume 2. Volume 1 contains the following 19 papers: (1) Gamification for Change: A New Approach to Investigate Students' Attitudes toward Educational Gamification in Online Learning Environments (Sumayah Abu-Dawood); (2) Facilitating Higher Levels of Thinking and Deeper Cognitive Processing of Course Text Using Reciprocal Teaching Strategies in Asynchronous Discussion Forums (Jenifer R. Marquis and Ginger S. Watson); (3) Online Learning Design and Implementation Models: A Model Validation Study Using Expert Instructional Designers (Ann Armstrong and Albert Gale); (4) Tracking the Design and Development of a Six Module miniMOOC for Quality Graduate Supervision (Hawazen Alharbi and Michele Jacobsen); (5) Diversity Training in Organization Settings: Effective and Ethical Approaches for Change Leaders (Ashley McArthur and Nancy B. Hastings); (6) Hey, Want to Play? "Kahooting" to Win the Learning Game (Papia Bawa); (7) An Examination of Prior Knowledge and Cueing Effects in an Animation (Ismahan Arslan-Ari); (8) Teacher Perceptions of the Adaptation of the New Computer Science (CS) Curriculum: An Evaluation of CS Curriculum Implementation (Suhkyung Shin, Jongpil Cheon, and Sungwon Shin); (9) Multimedia Video Resolution, Camera Angle, and the Impact on Instructor Credibility and Immediacy (Miguel Ramlatchan and Ginger S. Watson); (10) The Effects of Visible-Annotation Tool on the Learning Process and Learning Outcome in CSCL (Yoonhee Shin, Jaewon Jung, and Dongsik Kim); (11) Pre-Service ICT Teachers' Recommendations for School Internet Safety (Sanser Bulu, Melike Kavuk-Kalender, and Hafize Keser); (12) Turkish Schools' Readiness for Preventing Cyberbullying (Melike Kavuk-Kalender, Hafize Keser, and Sanser Bulu); (13) Examining Technology Integration Decision-Making Processes and Identifying Professional Development Needs of International Teachers (Medha Dalal, Leanna Archambault, and Catharyn Shelton); (14) Integrating Learning Analytics into Workforce Education to Develop Self-Assessment Competency (Lin Zhong); (15) Ensuring Academic Integrity in Online Courses: A Case Analysis in Three Testing Environments (Berhane Teclehaimanot, Sue Ann Hochberg, Diana Franz, Mingli Xiao, and Jiyu You); (16) Changing Student Performance and Perceptions through Productive Failure: Active Learning for Applied Chemistry in Pharmaceutics (Dan Cernusca and Sanku Mallik); (17) The Construction of Sentiment Lexicon in Educational Field Based on Word2vec (Xiang Feng and Longhui Qiu); (18) Blended Instruction by Using Simulation Method Teaching to Enhance Digital Literacy for Student Teachers in Thailand (Sumalee Chuachai); and (19) Social Network Use Preferences of Pre-Service ICT Teachers (Omer Faruk Islim and Nese Sevim Cirak). (Individual papers contain references.) [For Volume 2, see ED580817.]
- Published
- 2017
3. Reference publication year spectroscopy (RPYS) of computer science papers from Eastern Europe
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Fiala, Dalibor and Bornmann, Lutz
- Published
- 2020
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4. An analysis of retracted papers in Computer Science.
- Author
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Shepperd, Martin and Yousefi, Leila
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COMPUTER science ,DATABASES ,RETRACTORS (Surgery) ,SECONDARY analysis ,SCIENTIFIC community - Abstract
Context: The retraction of research papers, for whatever reason, is a growing phenomenon. However, although retracted paper information is publicly available via publishers, it is somewhat distributed and inconsistent. Objective: The aim is to assess: (i) the extent and nature of retracted research in Computer Science (CS) (ii) the post-retraction citation behaviour of retracted works and (iii) the potential impact upon systematic reviews and mapping studies. Method: We analyse the Retraction Watch database and take citation information from the Web of Science and Google scholar. Results: We find that of the 33,955 entries in the Retraction watch database (16 May 2022), 2,816 are classified as CS, i.e., ≈ 8%. For CS, 56% of retracted papers provide little or no information as to the reasons. This contrasts with 26% for other disciplines. There is also some disparity between different publishers, a tendency for multiple versions of a retracted paper to be available beyond the Version of Record (VoR), and for new citations long after a paper is officially retracted (median = 3; maximum = 18). Systematic reviews are also impacted with ≈ 30% of the retracted papers having one or more citations from a review. Conclusions: Unfortunately, retraction seems to be a sufficiently common outcome for a scientific paper that we as a research community need to take it more seriously, e.g., standardising procedures and taxonomies across publishers and the provision of appropriate research tools. Finally, we recommend particular caution when undertaking secondary analyses and meta-analyses which are at risk of becoming contaminated by these problem primary studies. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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5. Differences between journal and conference in computer science: a bibliometric view based on Bayesian network.
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Sun, Mingyue, Yue, Mingliang, and Ma, Tingcan
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BAYESIAN analysis ,COMPUTER science conferences ,COMPUTER science ,CONFERENCE papers ,ACADEMIC conferences ,BIBLIOMETRICS - Abstract
This paper aims to investigate the differences between conference papers and journal papers in the field of computer science based on Bayesian network. This paper investigated the differences between conference papers and journal papers in the field of computer science based on Bayesian network, a knowledge-representative framework that can model relationships among all variables in the network. We defined the variables required for Bayesian networks modeling, calculated the values of each variable based Aminer dataset (a literature data set in the field of computer science), learned the Bayesian network and derived some findings based on network inference. The study found that conferences are more attractive to senior scholars, the academic impact of conference papers is slightly higher than journal papers, and it is uncertain whether conference papers are more innovative than journal papers. The study was limited to the field of computer science and employed Aminer dataset as the sample. Further studies involving more diverse datasets and different fields could provide a more complete picture of the matter. By demonstrating that Bayesian networks can effectively analyze issues in Scientometrics, the study offers valuable insights that may enhance researchers' understanding of the differences between journal and conference in computer science. Academic conferences play a crucial role in facilitating scholarly exchange and knowledge dissemination within the field of computer science. Several studies have been conducted to examine the distinctions between conference papers and journal papers in terms of various factors, such as authors, citations, h-index and others. Those studies were carried out from different (independent) perspectives, lacking a systematic examination of the connections and interactions between multiple perspectives. This paper supplements this deficiency based on Bayesian network modeling. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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6. Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Educational Technologies (5th, Sydney, Australia, December 11-13, 2017)
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International Association for Development of the Information Society (IADIS), Kommers, Piet, Issa, Tomayess, Isaias, Pedro, and Hol, Ana
- Abstract
These proceedings contain the papers and posters of the 5th International Conference on Educational Technologies 2017 (ICEduTech 2017), which has been organised by the International Association for Development of the Information Society and co-organised by the Western Sydney University, held in Sydney, Australia, 11-13 December 2017. ICEduTech is the scientific conference addressing the real topics as seen by teachers, students, parents and school leaders. Scientists, professionals and institutional leaders are invited to be informed by experts, sharpen the understanding what education needs and how to achieve it. Full papers presented in these proceedings include: (1) Bibliometric Science Mapping as a Popular Trend: Chosen Examples of Visualisation of International Research Network Results (Eugenia Smyrnova-Trybulska, Nataliia Morze, Olena Kuzminska and Piet Kommers); (2) Optimize Knowledge Sharing, Team Effectiveness, and Individual Learning within the Flipped Team-Based Classroom (Chung-Kai Huang, Chun-Yu Lin, Zih-Cin Lin, Cui Wang and Chia-Jung Lin); (3) Design and Development of an Interactive Multimedia Simulation for Augmenting the Teaching and Learning of Programming Concepts (Leonah L. Baloyi, Sunday O. Ojo and Etienne A. Van Wyk); (4) Introducing Tablets in a Portuguese School: A Micool Project Case Study Analysis (Miriam Judge); (5) College Communicative Teaching and e-Learning: A Training Scheme (Charito G. Ong; (6) Tested Strategies for Recruiting and Retention of STEM Majors (Sadegh Davari, Sharon Perkins-Hall and Krishani Abeysekera); (7) Redesigning Learning Spaces: What do Teachers Want for Future Classrooms? (Neuza Pedro); (8) Peer Instructions and Use of Technological Tools. An Innovative Methodology for the Development of Meaningful Learning (Oriel A. Herrera and Patricia Mejías); (9) It Doesn't Matter What is in Their Hands: Understanding How Students Use Technology to Support, Enhance and Expand Their Learning in a Complex World (Peter Bryant); (10) A Comparative Study on Social Media Addiction of High School and University Students (Ali Simsek, Kemal Elciyar and Taner Kizilhan); (11) Computer Literacy Teaching Using Peer Learning and under the Confucian Heritage Cultural Settings of Macao, China (Kelvin Wong, Ana Neves and Joao Negreiros); (12) Applying Sensors to Investigate Gender Differences in Beginning Tennis Players (Chih-Hung Yu, Jye-Shyan Wang and Cheng-Chih Wu); (13) Using Arduino to Teach Programming to First-Year Computer Science Students (Wee Lum Tan, Sven Venema and Ruben Gonzalez); (14) Dimensions of Self-Perceived Employability in First Year IT Students (Amy Antonio and David Tuffley); (15) Challenges for a New Generation of STEM Students (Krishani Abeysekera, Sharon Perkins-Hall, Sadegh Davari and Amanda Smith Hackler); (16) Developing a Gesture-Based Game for Mentally Disabled People to Teach Basic Life Skills (Mohammad Javad Nazirzadeh, Kürsat Cagiltay and Necdet Karasu); (17) Learning Group Formation for Massive Open Online Courses (MOOCs) (Sankalp Prabhakar and Osmar R. Zaiane) and (18) ICE: An Automated Tool for Teaching Advanced C Programming (Ruben Gonzalez). Short papers presented include: (1) MOOC as a Laboratory of Culture Shock: Helping Non-U.S. Students Integrate into All-American Virtual Environment (Valeri Chukhlomin and Anant Deshpande); (2) The Use of Mobile Devices Outside of the Classroom for Self-Directed Learning among Female EFL Students in Saudi Arabia (Fatimah Albedah and Chwee Beng Lee); (3) Communication Scaffolds for Project Management in PBL (Shigeru Sasaki, Masayuki Arai, Kumiko Takai, Mitsuhiro Ogawa and Hiroyoshi Watanabe); (4) Digital Pedagogies for Teachers' CPD (Matthew Montebello); (5) Sensing Locally in the Global Environment: Using Sensors in Teachers' Education (Maria João Silva, António Almeida, Bianor Valente, Margarida Rodrigues and Vítor Manteigas); (6) The Use of a Digital Badge as an Indicator and a Motivator (Jun Iwata, John Telloyan, Lynne Murphy, Shudong Wang and John Clayton; (7) Exploring the Education Potential of Minecraft: The Case of 118 Elementary-School Students (Thierry Karsenti and Julien Bugmann); (8) Digital Story Creation: Its Impact towards Academic Performance (Charito G. Ong); and (9) Collaborative Peer Feedback (David A. Smith). Posters include: (1) A System for Class Reflection Using iPads for Real-Time Bookmarking of Feedbacks into Simultaneously Recorded Videos (Taira Nakajima); (2) Roles, Strategies, and Impact of MOOCs on Flipping Business Education (Chung-Kai Huang, Chun-Yu Lin, Zih-Cin Lin and Cui Wang); and (3) Gamifying Outdoor Social Inquiry Learning with Context-Aware Technology (Morris Siu-Yung Jong, Tom Chan, Vincent Tam and Ming-Tak Hue). Individual papers include references, and an Author Index is included.
- Published
- 2017
7. Evaluation of Question papers by Board of Intermediate and Secondary Education using Item Analysis and Blooms Taxonomy.
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Mahroof, Ameema and Saeed, Muhammad
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CARDBOARD ,SECONDARY education ,BLOOM'S taxonomy ,READING comprehension ,COMPUTER science education - Abstract
This small scale study aims to analyze the question papers of Board of Intermediate and Secondary Education in the subject of computer science with reference to item analysis and Bloom's taxonomy. Data were collected from 100 students of Grade 9
th and 10th from the schools of Lahore city using convenient sampling technique. Data collected on the papers developed by Board of Intermediate and Secondary Education for the year of 2015 and 2016. Item analyses were performed using Conquest software. Findings of the study shows that in the question papers conducted by Board of Intermediate and Secondary Education the majority questions were measuring the student abilities of knowledge and comprehension and only few questions were given to measure the student abilities to analyze, synthesize and evaluate, and this can be very helpful for the policy makers. Result of item analysis shows that many questions were not in the acceptable range of item difficulty and item discrimination. Items in the question papers were either too easy or too difficult. Findings revealed that the papers conducted and administered by Board of Intermediate and Secondary Education were not up to the mark, with reference to Bloom's taxonomy. The researcher recommended to train the assessment committee/panel developing the items. [ABSTRACT FROM AUTHOR]- Published
- 2021
8. Paper-and-Pencil Programming Strategy toward Computational Thinking for Non-Majors: Design Your Solution
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Kim, Byeongsu, Kim, Taehun, and Kim, Jonghoon
- Abstract
The paper-and-pencil programming strategy (PPS) is a way of representing an idea logically by any representation that can be created using paper and pencil. It was developed for non-computer majors to improve their understanding and use of computational thinking and increase interest in learning computer science. A total of 110 non-majors in their sophomore year were assigned to either a Logo or a PPS course with attendance being 2 hours per week for 15 weeks. To measure the effectiveness of PPS, the Group Assessment of Logical Thinking and a self-assessment survey pre- and post-test were used. Findings indicated that PPS not only improved students' overall logical thinking as much as did Logo programming learning, but also increased scores on one more subscale of logical thinking than did the Logo course. In addition, PPS significantly helped students understand the concept of computational thinking and increased their interest in learning computer science.
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- 2013
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9. Score Prediction from Programming Exercise System Logs Using Machine Learning
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Tanaka, Tetsuo and Ueda, Mari
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In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records their results. For educators, the system offers insights into each student's progress, the evolution of their source code, and the instances of errors. While teachers find these functions beneficial, the method of providing feedback to students needs improvement. Immediate feedback is proven to be more effective for student learning. If the final course score could be predicted based on early data (e.g., from the 1st or 2nd week), students could adapt their study strategies accordingly. This paper demonstrates that one can predict the final score using the system's operational logs from the initial phases of the course. Furthermore, the score predictions can be revised weekly based on new class logs. We also explore the potential of offering tailored advice to students to enhance their final score. [For the full proceedings, see ED636095.]
- Published
- 2023
10. Outlining Purposes, Stating the Nature of the Present Research, and Listing Research Questions or Hypotheses in Academic Papers
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Shehzad, Wasima
- Abstract
Driving research questions from the prevailing issues and interests and developing from them new theories, formulas, algorithms, methods, and designs, and linking them to the interests of the larger audience is a vital component of scientific research papers. The present article discusses outlining purposes or stating the nature of the present research, and listing research questions or hypotheses in the introduction of academic papers. This corpus-based genre study focuses particularly on Move 3 of the model "occupying the niche." The results indicating disciplinary variation show that the writers of Computer Science (CS) research articles, over the years have developed an increased use of outlining purpose/stating the nature of the present research, having the characteristics of purposive, descriptive, extension of the previous work, contrast to the existing work, brevity, complexity, and a description of methodology. It also shows that listing research questions or hypothesis may have distinctively different functions in developing genres as compared to the established ones such as physics.
- Published
- 2011
11. Paper-Based Robotics with Stackable Pneumatic Actuators
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Smit Shukla, Tongfen Liang, Aaron D. Mazzeo, Michael Yang, Cora LoPresti, Meriem Akin, Xiyue Zou, Salman Hoque, Brian T. Weil, and Emily Gruber
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Pneumatic actuator ,business.industry ,Computer science ,Biophysics ,Soft robotics ,Control engineering ,Robotics ,Equipment Design ,Paper based ,Robotic systems ,Hardware_GENERAL ,Artificial Intelligence ,Control and Systems Engineering ,Elastic Modulus ,Humans ,Artificial intelligence ,business ,Actuator - Abstract
This work presents a unique approach to the design, fabrication, and characterization of paper-based origami robotic systems consisting of stackable pneumatic actuators. These paper-based actuators (PBAs) use materials with high elastic modulus-to-mass ratios, accordion-like structures, and direct coupling with pneumatic pressure for extension and bending. The study contributes to the scientific and engineering understanding of foldable components under applied pneumatic pressure by constructing stretchable and flexible structures with intrinsically nonstretchable materials. Experiments showed that a PBA possesses a power-to-mass ratio greater than 80 W/kg, which is more than four times that of human muscle. This work also illustrates the stackability and functionality of PBAs by two prototypes: a parallel manipulator and a legged locomotor. The manipulator consisting of an array of PBAs can bend in a specific direction with the corresponding actuator inflated. In addition, the stacked actuators in the manipulator can rotate in opposite directions to compensate for relative rotation at the ends of each actuator to work in parallel and manipulate the platform. The locomotor rotates the PBAs to apply and release contact between the feet and the ground. Furthermore, a numerical model developed in this work predicts the mechanical performance of these inflatable actuators as a function of dimensional specifications and folding patterns. Overall, we use stacked origami actuators to implement functionalities of manipulation, gripping, and locomotion as conventional robotic systems. Future origami robots made of paper-like materials may be suitable for single use in contaminated or unstructured environments or low-cost educational materials.
- Published
- 2022
12. Classification of Paper Values Based on Citation Rank and PageRank.
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Souma, Wataru, Vodenska, Irena, and Chitkushev, Lou
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CITATION networks ,MOLECULAR biology ,COMPUTER science ,CITATION indexes ,INFORMATION science ,COMPUTER engineering - Abstract
Purpose: The number of citations has been widely used to measure the significance of a paper. However, there is a need in introducing another index to determine superiority or inferiority of papers with the same number of citations. We determine superiority or inferiority of papers by using the ranking based on the number of citations and PageRank. Design/methodology/approach: We show the positive linear correlation between Citation Rank (the ranking of the number of citation) and PageRank. On this basis, we identify high-quality, prestige, emerging, and popular papers. Findings: We found that the high-quality papers belong to the subjects of biochemistry and molecular biology, chemistry, and multidisciplinary sciences. The prestige papers correspond to the subjects of computer science, engineering, and information science. The emerging papers are related to biochemistry and molecular biology, as well as those published in the journal "Cell." The popular papers belong to the subject of multidisciplinary sciences. Research limitations: We analyze the Science Citation Index Expanded (SCIE) from 1981 to 2015 to calculate Citation Rank and PageRank within a citation network consisting of 34,666,719 papers and 591,321,826 citations. Practical implications: Our method is applicable to forecast emerging fields of research subjects in science and helps policymakers to consider science policy. Originality/value: We calculated PageRank for a giant citation network which is extremely larger than the citation networks investigated by previous researchers. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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13. Are Papers Asking Questions Cited More Frequently in Computer Science?
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Dalibor Fiala, Pavel Král, and Martin Dostal
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computer science ,papers ,citations ,questions ,Web of Science ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost two million records on computer science papers indexed in the Web of Science database and focus our investigation on the mean number of citations per paper of its specific subsets. The main finding is that the average number of citations per paper of the so-called “asking papers” is greater by almost 20% than that of other papers, and that this difference is statistically significant.
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- 2021
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14. Neither Computer Science, nor Information Studies, nor Humanities Enough: What Is the Status of a Digital Humanities Conference Paper?
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Estill, Laura and Guiliano, Jennifer
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DIGITAL humanities ,ELECTRONIC data processing ,COMPUTER science ,HUMANITIES ,SOCIAL sciences - Abstract
Copyright of Digital Studies / Champ Numérique is the property of Open Library of Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
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15. South African research contributions to Lecture Notes in Computer Science, 1973-2022.
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Naudé, Filistéa and Kroeze, Jan H.
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COMPUTER science ,ARTIFICIAL intelligence ,RESEARCH personnel ,AUTHORSHIP collaboration ,PERIODICAL articles - Abstract
Lecture Notes in Computer Science (LNCS) is a globally recognised publication outlet for the field of Computer Science, including in South Africa. In this study, spanning from 1973 to 2022, we investigated the research participation of South African based authors in LNCS. The publication output and citation impact of these authors were compared to the global Computer Science and LNCS output. The authorship patterns and collaborative behaviour of South African LNCS papers were explored, and a keyword or topic analysis also conducted. Of the total of 518 662 LNCS papers published globally between 1973 and 2022, South African based researchers contributed 1150 papers (0.22%). The LNCS papers from South Africa exhibit a strong collaborative publication culture, with 1043 (91%) co-authored and 107 (9%) singleauthored works. Local LNCS researchers prefer institutional collaboration (43%), followed by international (37%) and national collaboration (11%). Europe emerged as the most significant collaboration partner for LNCS researchers in South Africa. Of the 1150 papers, 836 (73%) had received citations, while 314 (27%) had not. On average, papers published by South African based authors received 6.05 citations, compared to the global LNCS average of 9.49 citations per paper. A keyword analysis revealed that the majority of papers by South African authors focus on artificial intelligence. The results indicate that, although LNCS serves as a reputable dissemination platform for Computer Science research output both globally and locally, South African authors should consider publishing more journal articles to build and improve their researcher profiles. Significance: * The study shows that LNCS is the most frequent publication outlet for Computer Science researchers, globally and in South Africa. * The study offers insight into the publication output, authorship patterns, collaborative behaviour and citation impact of South African based Computer Science researchers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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16. Preface of the Special Issue Dedicated to Selected Papers from IWOCA 2022.
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Bazgan, Cristina and Fernau, Henning
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WATERMARKS ,COMPUTER science ,DATA structures ,INDEPENDENT sets ,BIPARTITE graphs - Abstract
The 33rd International Workshop On Combinatorial Algorithms (IWOCA 2022) was held at the University of Trier in Germany. This workshop covers a wide range of topics related to combinatorial algorithms. The special issue of the journal Algorithmica contains extended versions of selected papers from IWOCA 2022, which were nominated by the Program Committee and underwent a rigorous reviewing process. The special issue includes nine papers on various topics such as perfect matchings, algorithmic questions, and winner determination algorithms. One paper was chosen as the Best Paper of IWOCA 2022 and another as the Best Student Paper. The special issue is recommended for readers interested in exploring more papers from IWOCA 2022. [Extracted from the article]
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- 2024
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17. From Crisis to Opportunity: Practices and Technologies for a More Effective Post-COVID Classroom
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Jeremie Regnier, Ethan Shafer, Edward Sobiesk, Nicholas Stave, and Malcolm Haynes
- Abstract
In our post-pandemic world, where the majority of higher education institutions have transitioned back to in-person classes, this paper argues that we must not return to pre-COVID teaching practices. Instead, we have the obligation and opportunity to create an educational experience and environment that better facilitates learning and instruction. This paper presents post-COVID best practices for employing technology in higher education based on an original survey and follow-up interviews of seventeen computing instructors at our institution. After a literature review, we describe four general categories of practices that enhance the post-COVID classroom: online student activities, digital instructor notes, remote classroom participation and collaboration, and a paperless classroom. For each of these categories, we provide vignettes to illustrate scope and intent. We also offer recommendations for addressing digital dishonesty, required infrastructure, institutional support, and being prepared to seamlessly return to a blended or fully remote environment in the event of another crisis. Finally, we identify additional emerging technological challenges and opportunities that require further effort. Overall, this paper emphasizes the need for a shift towards improved practices in the classroom rather than just a return to pre-pandemic norms. We believe implementing these recommendations will result in a more flexible, accessible, and robust post-COVID educational experience.
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- 2024
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18. Paper-based microfluidics for food safety and quality analysis
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Azadeh Nilghaz, Junfei Tian, Seyed Mahdi Mousavi, Rong Cao, Xungai Wang, and Miaosi Li
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Food industry ,Scope (project management) ,business.industry ,Computer science ,media_common.quotation_subject ,Paper based ,Food safety ,Biological hazard ,Food Analysis ,Risk analysis (engineering) ,Chemical contaminants ,Quality (business) ,business ,Food Science ,Biotechnology ,media_common - Abstract
Background The screening of biological hazards, chemical contaminants and allergens in food products is a major concern of food industry since they can cause serious illnesses and even lead to death. Therefore, there is a significant interest in developing low-cost, robust, and rapid detection methods for food safety and quality analysis. Conventional methods provide accurate analytical characteristics, but require well-equipped laboratories, trained personnel, costly reagents, and complicated sample preparation procedures prior to the detection in order to obtain reliable results. Hence, they are not always ideal for on-site food surveillance. Scope and approach This paper discusses the fundamentals of microfluidic paper-based analytical devices (μPADs) and reviews the recent progress in their usage for screening biological hazards, harmful chemical residues, and allergens in food products to systematically evaluate the strengths and weaknesses of this technology. It then covers future trends and useful strategies that could be employed in μPADs design and fabrication procedures to address the critical challenges in equipment-free food analysis. Key findings and conclusions μPADs offer promising avenues to revolutionize food safety and quality analysis with merits of equipment-free sample preparation and detection at low-cost. Despite the advancement in the microfluidic technology, the manufacturing of user-friendly sample-to-answer μPADs still requires intensive research studies to be employed for robust and sensitive food safety and quality analysis.
- Published
- 2021
19. Goal programming model applied to waste paper logistics processes
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Fernando Augusto Silva Marins, Cristiane Maria Defalque, Aneirson Francisco da Silva, Universidade Estadual Paulista (UNESP), Rodovia Presidente Dutra, and Brazil
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Optimization ,Operations research ,Modeling language ,Computer science ,Waste paper recycling ,Applied Mathematics ,Waste paper ,02 engineering and technology ,Reverse logistics ,Solver ,01 natural sciences ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Weighted goal programming ,Modeling and Simulation ,Goal programming ,0103 physical sciences ,Vehicle routing problem ,Revised Multi-Choice Goal Programming ,Production (economics) ,Center (algebra and category theory) ,010301 acoustics - Abstract
Made available in DSpace on 2022-04-29T08:31:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-10-01 Organization and planning of reverse logistics networks make sustainable processes more efficient. Thus, an important sector for connecting the collection and waste paper recycling echelons is the intermediate center. In this study, a Mixed Integer Linear Programming model, which is multi-objective, multi-product, multi-level and multi-period, was developed to optimize the waste paper logistics processes of intermediate centers. The formulation includes the following echelons: collection, considering vehicle routing with different capacities; inventory of non-baling materials; baling sorted waste and inventory of bales; selling bales; disposal of non-recyclable waste. The aims of the model include: maximizing the collected waste; minimizing distances; maximizing both the production and sale of bales, and minimizing costs. According to research carried out in the literature, the developed model is a new proposal and to implement it, the Weighted Goal Programming and Revised Multi-Choice Goal Programming approaches were used to deal with multiple objectives and incorporate uncertainty into the quantity of waste available for collection. To analyze the proposed model, computational tests were executed with instances based on real data from a Brazilian company in the sector. For all performed tests, General Algebraic Modeling System 23.6.5 modeling language and CPLEX 12.2.0.2 solver were used for modeling and optimization. The results show that this study presents formulation and technological approaches that represent real situations and provide competitive solutions to the problem. Sáo Paulo State University “Júlio de Mesquita Filho” [Universidade Estadual Paulista Júlio de Mesquita Filho] School of Engineering of Guaratinguetá [Faculdade de Engenharia de Guaratinguetá] Production Department, Av. Ariberto Pereira da Cunha, 333, Portal das Colinas Agulhas Negras Military Academy [Academia Militar das Agulhas Negras] Rodovia Presidente Dutra, km 306, s/n Escola Preparatória de Cadetes do Exército Avenida Papa Pio XII 350 Jardim Chapadão Campinas - SP Brazil, Avenida Papa Pio XII, 350, Jardim Chapadão, Campinas - SP Sáo Paulo State University “Júlio de Mesquita Filho” [Universidade Estadual Paulista Júlio de Mesquita Filho] School of Engineering of Guaratinguetá [Faculdade de Engenharia de Guaratinguetá] Production Department, Av. Ariberto Pereira da Cunha, 333, Portal das Colinas
- Published
- 2021
20. Dirty Paper Coding Based on Polar Codes and Probabilistic Shaping
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Wen Xu, Gerhard Kramer, M. Yusuf Sener, and Ronald Böhnke
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Computer science ,Frame (networking) ,Probabilistic logic ,List decoding ,Precoding ,Amplitude-shift keying ,Computer Science Applications ,Dimension (vector space) ,Modeling and Simulation ,Dirty paper coding ,Electrical and Electronic Engineering ,Algorithm ,Computer Science::Information Theory ,Block (data storage) - Abstract
A precoding technique based on polar codes and probabilistic shaping is introduced for dirty paper coding. Two variants of the precoding use multi-level shaping and sign-bit shaping in one dimension. The decoder uses multi-stage successive-cancellation list decoding with list-passing across the bit levels. The approach achieves approximately the same frame error rates as polar codes with multi-level shaping over standard additive white Gaussian noise channels at a block length of 256 symbols and with different amplitude shift keying (ASK) constellations.
- Published
- 2021
21. Comparative performance of India with other BRICS countries in publishing science and engineering research papers
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Hasan, S. A. and Luthra, Rajesh
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- 2014
22. Paper-Based Biosensors for COVID-19: A Review of Innovative Tools for Controlling the Pandemic
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Ana P.M. Tavares, Cristina E. A. Sousa, Rodrigo Martins, Maria Teresa Cruz, Ana C. Marques, Elvira Fortunato, Felismina T.C. Moreira, M. Goreti F. Sales, A. Rita Cardoso, Tomás Pinheiro, Ana Matos, and Universidade do Minho
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Diagnostic methods ,Coronavirus disease 2019 (COVID-19) ,Computer science ,General Chemical Engineering ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Immunology ,02 engineering and technology ,Viral antigen ,Peptides and proteins ,Diagnostic tools ,01 natural sciences ,Biopolymers ,Pandemic ,Medical diagnosis ,Antigens ,QD1-999 ,Science & Technology ,SARS-CoV-2 ,010401 analytical chemistry ,General Chemistry ,Paper based ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,3. Good health ,Chemistry ,Risk analysis (engineering) ,Perspective ,0210 nano-technology - Abstract
The appearance and quick spread of the new severe acute respiratory syndrome coronavirus disease, COVID-19, brought major societal challenges. Importantly, suitable medical diagnosis procedures and smooth clinical management of the disease are an emergent need, which must be anchored on novel diagnostic methods and devices. Novel molecular diagnostic tools relying on nucleic acid amplification testing have emerged globally and are the current gold standard in COVID-19 diagnosis. However, the need for widespread testing methodologies for fast, effective testing in multiple epidemiological scenarios remains a crucial step in the fight against the COVID-19 pandemic. Biosensors have previously shown the potential for cost-effective and accessible diagnostics, finding applications in settings where conventional, laboratorial techniques may not be readily employed. Paper- and cellulose-based biosensors can be particularly relevant in pandemic times, for the renewability, possibility of mass production with sustainable methodologies, and safe environmental disposal. In this review, paper-based devices and platforms targeting SARS-CoV-2 are showcased and discussed, as a means to achieve quick and low-cost PoC diagnosis, including detection methodologies for viral genomic material, viral antigen detection, and serological antibody testing. Devices targeting inflammatory markers relevant for COVID-19 are also discussed, as fast, reliable bedside diagnostic tools for patient treatment and follow-up., The authors acknowledge funding through projects Eco2Covid (POCI-01-02B7-FEDER-068174) and TecniCov (POCI-01-02B7-FEDER-069745), co-funded by FEDER through COMPETE2020 and Lisboa2020. T.P., A.R.C. and A.C.M. acknowledge funding to National Foundation for Science and Technology, I.P., FCT, through their PhD grants, references DFA/BD/8606/2020, SFRH/BD/130107/2017 and SFRH/BD/115173/2016, respectively, info:eu-repo/semantics/publishedVersion
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- 2021
23. Genre Variation in the Introduction of Scientific Papers in Iranian and International Computer Science Journals
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Bahman Ebrahimi and Hiwa Weisi
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genre analysis ,computer science ,research articles ,introduction ,Language and Literature - Abstract
Introduction functions as a showcase in research articles (RAs). It motivates the reader to read the rest of the paper. However, writing a well-crafted introduction is a complex task, mainly when the writer generates the manuscript in another language. This study investigated the rhetorical differences/similarities employed in the introductions of RAs published in Iranian and international ISI journals in Computer Sciences (CS) using Swales (2004) CARS model. Two sets of CS RAs (30 each) were randomly selected. Frequency and non-parametric tests were used to examine the differences between the two groups of introductions. The results indicated that M 1 S 1 (Generalizing the topic), M2 1A (Indicating the gap), M3 S1 (Describing the research), M3 S4 (Methods Summary), and M 3 S 6 (Stating research advantages) were used with high frequencies. M 2 S 2 (Announcing positive justification) was absent, and the others were in low preferences. Also, the Analysis illustrated a statistically significant variation between the introductions concerning the use of M3S7 (Demarcating the Research Organization). Findings support genre-based pedagogy in scientific writing classes to make the graduate CS students aware of these rhetorical structures conventional to introductions in CS RAs.
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- 2019
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24. Decrease in free computer science papers found through Google Scholar
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A. Pedersen, Lee and Arendt, Julie
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- 2014
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25. Multicolorimetric ELISA biosensors on a paper/polymer hybrid analytical device for visual point-of-care detection of infection diseases
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Lei Ma, Yousef Abugalyon, and Xiujun Li
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Paper ,Polymers ,Computer science ,Point-of-Care Systems ,Point-of-care detection ,Enzyme-Linked Immunosorbent Assay ,Biosensing Techniques ,02 engineering and technology ,Communicable Diseases ,Sensitivity and Specificity ,Multicolorimetric ELISA ,01 natural sciences ,Biochemistry ,Analytical Chemistry ,Humans ,Disease biomarker ,Integrated processing ,Paper/polymer hybrid microfluidic device ,Horseradish Peroxidase ,High potential ,Point of care ,Detection limit ,Quantitative biomarker detection ,Infectious disease ,business.industry ,010401 analytical chemistry ,Hydrogen Peroxide ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Visual detection ,Embedded system ,Colorimetry ,Spectrophotometry, Ultraviolet ,Hepatitis C virus core Antigen ,0210 nano-technology ,business ,Biosensor ,Biomarkers ,Research Paper - Abstract
Graphical abstract Enzyme-linked immunosorbent assay (ELISA) is widely used for the detection of disease biomarkers. However, it utilizes time-consuming procedures and expensive instruments, making it infeasible for point-of-care (POC) analysis especially in resource-limited settings. In this work, a multicolorimetric ELISA biosensor integrated on a paper/polymer hybrid microfluidic device was developed for rapid visual detection of disease biomarkers at point of care, without using costly equipment. This multicolormetric ELISA platform was built on multiple distinct color variants resulted from the catalytic oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) and the etching of gold nanorods (AuNRs). The vivid color changes could be easily distinguished by the naked eye, and their red mean values allowed quantitative biomarker detection, without using any sophisticated instruments. When this multicolorimetric ELISA was integrated on a paper/polymer hybrid analytical device, it not only provided integrated processing and high portability but also enabled fast assays in about 50 min due to the unique advantages of paper/polymer hybrid devices. The limit of detection of 9.1 ng/μL of the hepatitis C virus core antigen, a biomarker for hepatitis C, was achieved using this multicolorimetric ELISA platform. This multicolor ELISA analytical device provides a new versatile, user-friendly, affordable, and portable immunosensing platform with high potential for on-site detections of various viruses, proteins, and biomarkers for low-resource settings such as at home, public venues, rural areas, and developing nations. Supplementary Information The online version contains supplementary material available at 10.1007/s00216-021-03359-8.
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- 2021
26. Comparison of Ontario’s roundwood and recycled fibre pulp and paper mills’ performance using data Envelopment analysis
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Mohamed Dia and Shashi K. Shahi
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Statistics and Probability ,Computer science ,Pulp (paper) ,education ,Bootstrapping (linguistics) ,engineering.material ,Pulp and paper industry ,stomatognathic diseases ,stomatognathic system ,Data envelopment analysis ,engineering ,Business, Management and Accounting (miscellaneous) ,Statistics, Probability and Uncertainty ,Forest industry ,Ontario canada - Abstract
The pulp and paper industry converts roundwood and recycled fibre, collected from wastepaper into printing and writing papers, and other specialty grades of paper. The pulp and paper mills in Ontar...
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- 2021
27. The Influences of Computer Game Play and Social Media Use on Computer Science Identity and Computer Science Career Interests
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Shah, Zohal, Chen, Chen, Sonnert, Gerhard, and Sadler, Philip M.
- Abstract
Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social media than do male students, so a gender comparison perspective is helpful. Using a national sample of 10,197 U.S. college students in introductory CS courses, we found that frequent computer gameplay was strongly associated with CS career interest for both male and female students. However, increased social media use predicted a higher CS career interest for female students, but a lower interest in male students.
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- 2023
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28. White paper on high‐throughput process development for integrated continuous biomanufacturing
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Tiago Castanheira Silva, Mariana N. São Pedro, Marcel Ottens, and Rohan Patil
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0106 biological sciences ,0301 basic medicine ,Drug Industry ,Emerging technologies ,Computer science ,Process analytical technology ,microfluidics ,Bioengineering ,Context (language use) ,integrated continuous biomanufacturing ,high-throughput process development ,01 natural sciences ,Applied Microbiology and Biotechnology ,03 medical and health sciences ,Resource (project management) ,White paper ,010608 biotechnology ,Production (economics) ,Technology, Pharmaceutical ,Biomanufacturing ,Throughput (business) ,Bioprocess Engineering and Supporting Technologies ,modeling ,Congresses as Topic ,Manufacturing engineering ,process analytical technology ,030104 developmental biology ,Perspective ,high‐throughput process development ,Biotechnology - Abstract
Continuous manufacturing is an indicator of a maturing industry, as can be seen by the example of the petrochemical industry. Patent expiry promotes a price competition between manufacturing companies, and more efficient and cheaper processes are needed to achieve lower production costs. Over the last decade, continuous biomanufacturing has had significant breakthroughs, with regulatory agencies encouraging the industry to implement this processing mode. Process development is resource and time consuming and, although it is increasingly becoming less expensive and faster through high‐throughput process development (HTPD) implementation, reliable HTPD technology for integrated and continuous biomanufacturing is still lacking and is considered to be an emerging field. Therefore, this paper aims to illustrate the major gaps in HTPD and to discuss the major needs and possible solutions to achieve an end‐to‐end Integrated Continuous Biomanufacturing, as discussed in the context of the 2019 Integrated Continuous Biomanufacturing conference. The current HTPD state‐of‐the‐art for several unit operations is discussed, as well as the emerging technologies which will expedite a shift to continuous biomanufacturing., With an ever‐growing interest in shifting to integrated continuous biomanufacturing (ICB), the major gaps and state‐of‐the‐art perceived by academia and industry members in high‐throughput process development (HTPD) technologies for the development and implementation of this type of operation (ICB) are debated in this paper, with a special focus on the HT tools for the different unit operations in a typical biopharmaceutical process. The current needs in ICB and possible solutions to fulfill these needs are also highlighted
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- 2021
29. Recent advances in paper‐based preconcentrators by utilizing ion concentration polarization
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Yuan Xichen, Ren Li, Shang Peng, Feng Huicheng, Meng Zhiyue, and Yang Yang
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Chip fabrication ,Computer science ,Microfluidics ,010401 analytical chemistry ,Clinical Biochemistry ,Nanotechnology ,02 engineering and technology ,Ion concentration polarization ,Paper based ,Microfluidic Analytical Techniques ,021001 nanoscience & nanotechnology ,01 natural sciences ,Biochemistry ,0104 chemical sciences ,Analytical Chemistry ,Polarization phenomenon ,High complexity ,0210 nano-technology ,Polarization (electrochemistry) - Abstract
One of the most cited limitations of biochemical detection is its poor sensitivity, owing to the relatively high complexity of micro-samples. Moreover, some samples cannot be easily self-replicated and their abundance cannot be increased through traditional technologies. Therefore, the preconcentration of low-abundance samples is a key requirement for microfluidic biological analysis. In recent years, the ion-concentration polarization phenomenon has aroused widespread interest in the application of microfluidic technology. In addition, paper-based materials are readily available, easy to modify, and exhibit good hydrophilicity. The study of the ion-concentration polarization preconcentration of micro-samples in paper-based microfluidic chips is of considerable significance. In this review, we discuss the development and applications of ion-concentration polarization paper-based preconcentrator in the past 5 years, with emphasis on key progresses in chip fabrication and performance optimization under different conditions. The current needs and development prospects in this field have also been discussed.
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- 2021
30. New approach for selecting a suitable recycling collection program for recovered paper and pulp recyclables using AHP-TOPSIS techniques
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Omer A. Bafail and Reda M. S. Abdulaal
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Solid waste management ,Environmental Engineering ,Computer science ,Pulp (paper) ,Analytic hierarchy process ,TOPSIS ,engineering.material ,Solid Waste ,Multiple-criteria decision analysis ,Pollution ,Manufacturing engineering ,Decision Support Techniques ,Refuse Disposal ,Waste Management ,engineering ,Recycling ,Cities ,Decision analysis - Abstract
In the past decade, the use of multiple-criteria decision analysis technology has dramatically increased in solving complex real-world problems in solid waste management. Likewise, many municipalities have paid attention to finding feasible solutions for disposal and recycling of solid waste due to the increase in waste generation rates worldwide. Therefore, policy-makers must determine which recycling program to be implemented among various recycling program options. In this paper, a new approach to select a recycling program for recovered paper and pulp recyclables was proposed using analytic hierarchy process–Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) techniques. A set of essential parameters of the decision-making system were identified, and a numerical case to illustrate the procedure was conducted. Our findings show very encouraging results to use a combined model between AHP and TOPSIS to select a suitable recycling program for different recovered recyclable materials.
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- 2021
31. Strategies for the detection of target analytes using microfluidic paper-based analytical devices
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Bo Cao, Daxiang Cui, Chujun Zheng, Qinghui Jin, Kan Wang, Wei Zheng, Qi Qin, and Hao Xu
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Analyte ,Computer science ,010401 analytical chemistry ,Microfluidics ,Nanotechnology ,Small sample ,02 engineering and technology ,Paper based ,021001 nanoscience & nanotechnology ,01 natural sciences ,Biochemistry ,Rapid detection ,0104 chemical sciences ,Analytical Chemistry ,Software portability ,Microfluidic channel ,Electrochemiluminescence ,0210 nano-technology - Abstract
Microfluidic paper-based analytical devices (μPADs) have developed rapidly in recent years, because of their advantages, such as small sample volume, rapid detection rates, low cost, and portability. Due to these characteristics, they can be used for in vitro diagnostics in the laboratory, or in the field, for a variety of applications, including food evaluation, disease screening, environmental monitoring, and drug testing. This review will present various detection methods employed by μPADs and their respective applications for the detection of target analytes. These include colorimetry, electrochemistry, chemiluminescence (CL), electrochemiluminescence (ECL), and fluorescence-based methodologies. At the same time, the choice of labeling material and the design of microfluidic channels are also important for detection results. The construction of novel nanocomponents and different smart structures of paper-based devices have improved the performance of μPADs and we will also highlight some of these in this manuscript. Additionally, some key challenges and future prospects for the use of μPADs are briefly discussed.
- Published
- 2021
32. Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms
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Peshawa Jammal Muhammad Ali, Abdolreza Roshani, Maryam Ghasemi, Ehsan Nazemi, Farhad F. Nia, and Gholam Hossein Roshani
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Paper ,Technology ,Computer science ,Science ,Markov model ,upgraded Markov model ,Radial basis functions ,Software ,Multilayer perceptron ,Scissors game ,MATLAB ,General Environmental Science ,computer.programming_language ,Graphical user interface ,Computer. Automation ,Artificial neural network ,Markov chain ,business.industry ,Agriculture ,Rock ,General Earth and Planetary Sciences ,Robot ,business ,Engineering sciences. Technology ,computer ,Algorithm - Abstract
In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) and the upgraded Markov chain model have been studied and performed to identify the human behavior patterns during rock, paper, and scissors game. The main motivation of this research is the design and construction of an intelligent robot with the ability to defeat a human opponent. MATLAB software has been used to implement intelligent algorithms. After implementing the algorithms, their effectiveness in detecting human behavior pattern has been investigated. To ensure the ideal performance of the implemented model, each player played with the desired algorithms in three different stages. The results showed that the percentage of winning computer with MLP and RBF neural networks and upgraded Markov model, on average in men and women is 59%, 76.66%, and 75%, respectively. Obtained results clearly indicate a very good performance of the RBF neural network and the upgraded Markov model in the mental modeling of the human opponent in the game of rock, paper, and scissors. In the end, the designed game has been employed in both hardware and software which include the Zana intelligent robot and a digital version with a graphical user interface design on the stand. To the best knowledge of the authors, the precision of novel presented method for determining human behavior patterns was the highest precision among all of the previous studies.
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- 2021
33. Towards development of a system for automatic assessment of the quality of a question paper
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Sujan Kumar Saha
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Question assessment ,Higher education ,Computer science ,media_common.quotation_subject ,Question difficulty ,Question paper quality ,02 engineering and technology ,computer.software_genre ,Education ,Domain (software engineering) ,Development (topology) ,Educational assessment ,0202 electrical engineering, electronic engineering, information engineering ,Question relevance ,Quality (business) ,Relevance (information retrieval) ,Set (psychology) ,media_common ,lcsh:LC8-6691 ,lcsh:Special aspects of education ,business.industry ,05 social sciences ,050301 education ,Computer Science Applications ,Risk analysis (engineering) ,Quality Score ,020201 artificial intelligence & image processing ,business ,0503 education ,computer - Abstract
In this paper, we present a system for automatic evaluation of the quality of a question paper. Question paper plays a major role in educational assessment. The quality of a question paper is crucial to fulfilling the purpose of the assessment. In many education sectors, question papers are prepared manually. A prior analysis of a question paper might help in finding the errors in the question paper, and better achieving the goals of the assessment. In this experiment, we focus on higher education in the technical domain. First, we conducted a student survey to identify the key factors that affect the quality of a question paper. The top factors we identified are question relevance, question difficulty, and time requirement. We explored the strategies to handle these factors and implemented them. We employ various concepts and techniques for the implementation. The system finally assigns a numerical quality score against these factors. The system is evaluated using a set of question papers collected from various sources. The experimental results show that the proposed system is quite promising.
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- 2021
34. Digital Learning Experiences and Spaces: Learning from the Past to Design Better Pedagogical and Curricular Futures
- Author
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Bough, Ashley and Martinez Sainz, Gabriela
- Abstract
Over 60 years of technology development, transformation of educational policy and curriculum innovation in Ireland have resulted in the introduction of the Computer Science (CS) subject in Post-Primary (PP) Education. CS has always been conceived digitally and the Digital Learning Experiences (DLE) enacted through its curriculum are strongly interconnected to the opportunities and limitations offered by Digital Spaces (DS). However, key challenges have been identified for the successful implementation of CSE, from teachers' digital competencies and educational strategies in the classroom to learners' varying experiences of CSE. Through a systematic literature review of the educational policies and practices in Ireland's Educational System, this paper documents the digital evolution from the 1960s accounting for the CS curriculum. The literature review identifies key themes in how DS have been conceptualised through CSE, responding to learners' needs and teachers' skills and competencies, informed by emerging societal demands by providing evidence on the disparity between educational policy and practice for DS. Building upon the identified themes, this paper emphasises the importance of the design and implementation of DLE in DS such as the CS subject that considers historical lessons learned to respond to the uncertainties of the digital future.
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- 2023
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35. Resource efficiency improvement: zero waste discharge planning in a pulp-and-paper firm under uncertainties
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Raymond R. Tan, Shiou-Yun Jeng, Chun-Wei Lin, Korbkul Jantarakolica, and Ming-Lang Tseng
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Waste management ,Computer science ,020209 energy ,Pulp (paper) ,Public Health, Environmental and Occupational Health ,Zero waste ,Resource efficiency ,02 engineering and technology ,Management, Monitoring, Policy and Law ,engineering.material ,Discharge planning ,0202 electrical engineering, electronic engineering, information engineering ,engineering ,020201 artificial intelligence & image processing - Abstract
PurposeThis study develops an integrated zero waste discharge planning approach for improving resource efficiency in a pulp-and-paper manufacturing firm.Design/methodology/approachThe objectives of this study are to (1) identify the environmental, technical and social metrics in resource efficiency; (2) utilize fuzzy multi-objective programming and the hybrid particle swarm optimization algorithm to solve the fuzzy problem; and (3) develop an assessment for resource efficiency improvement in an industrial case study.FindingsThe findings demonstrate the superiority of hybrid particle swarm optimization algorithm in generating optimal results for a pulp-and-paper manufacturing firm.Practical implicationsThe findings demonstrate the superiority of hybrid particle swarm optimization algorithm in generating optimal results for a pulp-and-paper manufacturing firm.Originality/valueResource efficiency is a multi-objective problem in an uncertain environment. In particular, zero waste discharge planning involves minimizing the total cost and maximizing the waste material recovery rate, wastewater reuse, and waste heat recovery.
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- 2021
36. Aging state assessment of transformer cellulosic paper insulation using multivariate chemical indicators
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Hanbo Zheng, Jiaqi Wang, Chuansheng Zhang, Kuikui Shi, Jing Guo, Chaohai Zhang, Enze Zhang, and Harald Schwarz
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Multivariate statistics ,Polymers and Plastics ,Computer science ,Electrical insulation paper ,02 engineering and technology ,Ideal solution ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Condition assessment ,0104 chemical sciences ,Weighting ,Reliability engineering ,Cellulosic ethanol ,0210 nano-technology ,Reliability (statistics) ,Transformer (machine learning model) - Abstract
Compared with a single chemical indicator, the use of multivariate chemical indicators in aging status assessment of transformer cellulose paper insulation can improve the reliability of the evaluation. In this study, a non-destructive method based on multivariate chemical indicators was proposed to evaluate the remaining life of cellulosic paper insulation. The selected chemical indicators closely related to the aging of the insulating paper were analyzed. Additionally, by applying the subjective and objective weighting method, the evaluation information of each indicator was fully extracted to obtain reasonable comprehensive evaluation weights. Besides, the comprehensive evaluation index of multivariate chemical indicators was obtained by using the technique for order preference by similarity to ideal solution method, which is consistent with the deterioration law of paper insulation. Then, the correlation lifespan model between the comprehensive evaluation index of multivariate chemical indicators and the degree of polymerization of insulating paper under different aging stages was established. The effectiveness of the proposed model was verified by experiments. This promising model can increase the accuracy of the condition assessment for the transformer cellulosic paper insulation.
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- 2021
37. Paper-Based Semi-quantitative Antimicrobial Susceptibility Testing
- Author
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Ruisheng Wang and David Erickson
- Subjects
Susceptibility testing ,Computer science ,General Chemical Engineering ,Antimicrobial susceptibility ,Single sample ,General Chemistry ,Paper based ,Antimicrobial ,Article ,Chemistry ,Sample volume ,Antibiotic resistance ,Biochemical engineering ,QD1-999 ,Semi quantitative - Abstract
Antimicrobial resistance is increasingly recognized as a major threat to global health. To combat this emerging threat, accessible antimicrobial susceptibility testing should be prioritized as a key component of stewardship efforts. In this work, we developed a user-friendly paper-based test that provides visual readout of bacterial antibiotic susceptibility in a semiquantitative format. We leveraged on-chip paper microfluidics to enable multiplexed testing of multiple antibiotic dilutions with a single sample addition step, replicating the functionality of traditional broth-dilution-based susceptibility testing in a simplified format. Our paper-based test offers several advantages including low sample volume requirement and lack of need for humidity control during incubation, an innovation that addresses a key limitation of conventional paper-microfluidic devices. Using several clinically relevant bacterial organisms and antimicrobial agents, we demonstrate that our colorimetric readout approach provides a strong predictor of susceptibility category.
- Published
- 2021
38. Paper acceptance prediction at the institutional level based on the combination of individual and network features
- Author
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Jun Zhang, Bing Wang, Peng Chen, Fang Zhou, and Wenyan Wang
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Measure (data warehouse) ,Work (electrical) ,Ranking ,Computer science ,Acceptance rate ,General Social Sciences ,Paper quality ,Library and Information Sciences ,Centrality ,Data science ,Institutional level ,Computer Science Applications ,Random forest - Abstract
Papers published in top conferences or journals is an important measure of the innovation ability of institutions, and ranking paper acceptance rate can be helpful for evaluating affiliation potential in academic research. Most studies only focus on the paper quality itself, and apply simple statistical data to estimate the contribution of institutions. In this work, a novel method is proposed by combining different types of features of affiliation and author to predict the paper acceptance at the institutional level. Based on the history of the paper published, this work firstly calculates the affiliation scores, constructs an institutional collaboration network and analyzes the importance of the institutions using network centrality measures. Four measures about the authors’ influence and capability are then extracted to take the contributions of authors into consideration. Finally, a random forest algorithm is adopted to solve the prediction problem of paper acceptance. As a result, this paper improves the ranking of the paper acceptance rate NDCG@20 to 0.865, which is superior to other state-of-the-art approaches. The experimental results show the effectiveness of proposed method, and the information between different types of features can be complementary for predicting paper acceptance rate.
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- 2021
39. Morphological Sensitivity and Falling Behavior of Paper V-Shapes
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Toby Howison, Fumiya Iida, and Josie Hughes
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computation ,Work (thermodynamics) ,Sequential logic ,Computer science ,Complex system ,embodied intelligence ,robot ,Context (language use) ,falling paper ,Parameter space ,General Biochemistry, Genetics and Molecular Biology ,Artificial Intelligence ,emergence ,Sensitivity (control systems) ,complex systems ,Set (psychology) ,Falling (sensation) ,Biological system - Abstract
Behavioral diversity seen in biological systems is, at the most basic level, driven by interactions between physical materials and their environment. In this context we are interested in falling paper systems, specifically the V-shaped falling paper (VSFP) system that exhibits a set of discrete falling behaviors across the morphological parameter space. Our previous work has investigated how morphology influences dominant falling behaviors in the VSFP system. In this article we build on this analysis to investigate the nature of behavioral transitions in the same system. First, we investigate stochastic behavior transitions. We demonstrate how morphology influences the likelihood of different transitions, with certain morphologies leading to a wide range of possible paths through the behavior-space. Second, we investigate deterministic transitions. To investigate behaviors over longer time periods than available in falling experiments we introduce a new experimental platform. We demonstrate how we can induce behavior transitions by modulating the energy input to the system. Certain behavior transitions are found to be irreversible, exhibiting a form of hysteresis, while others are fully reversible. Certain morphologies are shown to behave like simplistic sequential logic circuits, indicating that the system has a form of memory encoded into the morphology–environment interactions. Investigating the limits of how morphology–environment interactions induce non-trivial behaviors is a key step for the design of embodied artificial life-forms.
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- 2021
40. Combined Colorimetric and Electrochemical Measurement Paper-Based Device for Chemometric Proof-of-Concept Analysis of Cocaine Samples
- Author
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Koiti Araki, Josué M. Gonçalves, Thiago R.L.C. Paixão, Vanessa N. Ataide, Wilson A. Ameku, Mauro Sergio Ferreira Santos, and Ivano Gebhardt Rolf Gutz
- Subjects
Chemistry ,Computer science ,Proof of concept ,business.industry ,General Chemical Engineering ,Pattern recognition ,General Chemistry ,Paper based ,Artificial intelligence ,business ,QD1-999 ,QUIMIOMETRIA ,Article - Abstract
Cocaine (COC) is one of the most widely consumed illegal drugs around the world. Street COC is commonly adulterated with pharmaceutical compounds that mimic or intensify the COC's sensory effect. Adulteration is performed to increase the profit of criminal organizations and each one has their own way of doing it. Therefore, determining the composition of seized COC samples (chemical profile) provides evidence for the police to track criminal organization networks and their activity patterns. Using filter paper as a substrate, we developed a multiple detection paper-based analytical device (PAD) that combines colorimetric and electrochemical measurements to discriminate COC samples according to adulterant's content. A regular graphite lead modified with a gold film made from Au leaf (graphite/Au) to improve electron transfer was used as a working electrode. Silver and Ag/AgCl were used as auxiliary and reference electrodes, respectively. The colorimetric device was patterned using a laser cutter and coupled to the electrochemical device using a double-sided tape, allowing simultaneous analysis to gather more analytical information about COC samples. Graphite/Au was characterized by scanning and transmission electron microscopies and electrochemical assays. The simultaneous colorimetric and electrochemical analyses combined to principal component analysis improved the analytical characterization of COC trial samples and provided a fast discrimination based on the assembled database.
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- 2021
41. An electricity- and instrument-free infectious disease sensor based on a 3D origami paper-based analytical device
- Author
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Chiao-Wen Chen, Wang-Huei Sheng, Chien-Fu Chen, Yuh-Shiuan Chien, Hao Yuan, and Chung-An Chen
- Subjects
Paper ,Computer science ,Real-time computing ,Biomedical Engineering ,Human immunodeficiency virus (HIV) ,Bioengineering ,02 engineering and technology ,medicine.disease_cause ,Communicable Diseases ,01 natural sciences ,Biochemistry ,Electricity ,Infectious disease diagnosis ,Lab-On-A-Chip Devices ,medicine ,Humans ,Instrumentation (computer programming) ,010401 analytical chemistry ,General Chemistry ,Paper based ,Microfluidic Analytical Techniques ,021001 nanoscience & nanotechnology ,Biocompatible material ,P24 antigen ,0104 chemical sciences ,Infectious disease (medical specialty) ,Timer ,0210 nano-technology - Abstract
Infectious diseases cause millions of deaths annually in the developing world. Recently, microfluidic paper-based analytical devices (μPADs) have been developed to diagnose such diseases, as these tests are low cost, biocompatible, and simple to fabricate. However, current μPADs are difficult to use in resource-limited areas due to their reliance on external instrumentation to measure and analyze the test results. In this work, we propose an electricity and external instrumentation-free μPAD sensor based on the colorimetric enzyme-linked immunosorbent assay (ELISA) for the diagnosis of infectious disease (3D-tPADs). Designed based on the principle of origami, the proposed μPAD enables the sequential steps of the colorimetric ELISA test to be completed in just ∼10 min. In addition, in order to obtain an accurate ELISA result without using any instrument, we have integrated an electricity-free "timer" within the μPAD that can be controlled by the buffer viscosity and fluid path volume to indicate the appropriate times for washing and color development steps, which can avoid false positive or false negative results caused by an extended or shortened amount of washing and development times. Due to the low background noise and high positive signal intensity of the μPAD, positive and negative detection results can be distinguished by just the naked eye. Furthermore, the ELISA result can be semi-quantified by comparing the results shown on the μPAD with a color chart diagram with a detection limit of HIV type 1(HIV-1) p24 antigen as low as 0.03 ng mL-1. These results demonstrate the proposed sensor can perform infectious disease diagnosis without external instrumentation or electricity, extending the application of the μPAD test for on-site detection and use in resource-limited settings.
- Published
- 2021
42. Special Issue: Feature Papers to Celebrate the Inaugural Issue of Standards
- Author
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Peter Glavič
- Subjects
Information retrieval ,Computer science ,Feature (computer vision) ,Automotive Engineering - Abstract
Standards are a set of guidelines or criteria used to ensure consistency, quality, safety, and compatibility in products, services, and processes [...]
- Published
- 2023
43. TOGA feature selection and the prediction of mechanical properties of paper from the Raman spectra of unrefined pulp
- Author
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Zahra Poursorkh, Najmeh Tavassoli, Edward R. Grant, and Paul Alexandre Bicho
- Subjects
Discrete wavelet transform ,business.industry ,Computer science ,Pulp (paper) ,010401 analytical chemistry ,Feature selection ,02 engineering and technology ,Limiting ,engineering.material ,Covariance ,021001 nanoscience & nanotechnology ,01 natural sciences ,Biochemistry ,0104 chemical sciences ,Analytical Chemistry ,symbols.namesake ,engineering ,symbols ,Process control ,Paper Makers ,0210 nano-technology ,Process engineering ,business ,Raman spectroscopy - Abstract
Process-monitoring laboratories in the pulp and paper industry generally use a combination of wet chemical analyses and physical measurements to certify the fitness of a production pulp for a specific end-use. These laboratory tests require time and the effort of trained personnel, limiting their utility for real-time process control. Here we show that Raman probes of unrefined cellulosic pulps, well-suited to the online measurement of in-process materials, can predict the quality attributes of manufactured papers. The accuracy of prediction improves when the covariance is modelled in a reduced measurement space selected by a data-driven, feature-selection technique referred to as a Template Oriented Genetic Algorithm (TOGA). TOGA, combined with discrete wavelet transform (DWT), isolates functional-group features that correlate best with mechanical properties paper derived from refined pulp. Paper makers refine market pulps to build sheet strength using a beating process that decreases freeness as it increases fibre-fibre bonding. Methods demonstrated here predict manufactured sheet properties obtainable after any specified degree of refining from the Raman spectrum of an unrefined pulp. This analysis capacity will enable both vendors of market pulp and makers of sheet paper to specify in advance the amount of beating required to produce a desired product, thereby saving cost and conserving resources.
- Published
- 2020
44. Sustainability Evaluation of Tissue Paper under Different Production Paths
- Author
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Yang Zhang, Yulin Han, and Yi Man
- Subjects
Renewable Energy, Sustainability and the Environment ,Computer science ,General Chemical Engineering ,Sustainability ,Environmental Chemistry ,Production (economics) ,General Chemistry ,Environmental economics ,Tissue paper - Published
- 2021
45. The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper
- Author
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Christopher J. Roth, Kenneth A. Buckwalter, Cheryl A. Petersilge, Alexander J. Towbin, Kimberley M. Garriott, and David A. Clunie
- Subjects
Diagnostic Imaging ,Standards ,Computer science ,Interoperability ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Access control ,Ontology (information science) ,DICOM ,HIMSS-SIIM White Paper ,Photo documentation ,Electronic Health Records ,Humans ,Radiology, Nuclear Medicine and imaging ,Use case ,Human Body ,Data element ,Radiological and Ultrasound Technology ,Ontology ,business.industry ,Enterprise Imaging ,Digital imaging ,Medical Photography ,Data science ,Computer Science Applications ,Identification (information) ,Medicine ,business - Abstract
In order for enterprise imaging to be successful across a multitude of specialties, systems, and sites, standards are essential to categorize and classify imaging data. The HIMSS-SIIM Enterprise Imaging Community believes that the Digital Imaging Communications in Medicine (DICOM) Anatomic Region Sequence, or its equivalent in other data standards, is a vital data element for this role, when populated with standard coded values. We believe that labeling images with standard Anatomic Region Sequence codes will enhance the user’s ability to consume data, facilitate interoperability, and allow greater control of privacy. Image consumption—when a user views a patient’s images, he or she often wants to see relevant comparison images of the same lesion or anatomic region for the same patient automatically presented. Relevant comparison images may have been acquired from a variety of modalities and specialties. The Anatomic Region Sequence data element provides a basis to allow for efficient comparison in both instances. Interoperability—as patients move between health care systems, it is important to minimize friction for data transfer. Health care providers and facilities need to be able to consume and review the increasingly large and complex volume of data efficiently. The use of Anatomic Region Sequence, or its equivalent, populated with standard values enables seamless interoperability of imaging data regardless of whether images are used within a site or across different sites and systems. Privacy—as more visible light photographs are integrated into electronic systems, it becomes apparent that some images may need to be sequestered. Although additional work is needed to protect sensitive images, standard coded values in Anatomic Region Sequence support the identification of potentially sensitive images, enable facilities to create access control policies, and can be used as an interim surrogate for more sophisticated rule-based or attribute-based access control mechanisms. To satisfy such use cases, the HIMSS-SIIM Enterprise Imaging Community encourages the use of a pre-existing body part ontology. Through this white paper, we will identify potential challenges in employing this standard and provide potential solutions for these challenges.
- Published
- 2021
46. Collaborative R&D the Key Cooperation Domain for University-Industry Partnerships Sustainability – Position Paper
- Author
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Eduardo B. Pinto and Gabriela Fernandes
- Subjects
Value (ethics) ,Knowledge management ,Computer science ,business.industry ,Commercialization ,Research technology transfer ,University–industry relations ,020206 networking & telecommunications ,02 engineering and technology ,Industrial policy ,Domain (software engineering) ,Collaborative R&D ,Sustainability ,0202 electrical engineering, electronic engineering, information engineering ,Key (cryptography) ,General Earth and Planetary Sciences ,Position paper ,020201 artificial intelligence & image processing ,business ,General Environmental Science - Abstract
In society, there is widespread and growing acceptance of the value of cooperation between industry and universities being collaborative Research and Development (R&D) domain and industrial policy the fuel of knowledge-based economies. In this paper, different domains of cooperation between the University and Industry as well as their generated benefits for each partner are identified. These benefits have been assigned to each domain of cooperation, showing a large number of benefits associated to collaborative R&D. Leading us to make a statement - collaborative R&D is the key cooperation domain for sustainable long-term university-industry partnerships. Suggestions are given about how to continue this research study.
- Published
- 2021
47. Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach.
- Author
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Moctezuma, Daniela, López-Vázquez, Carlos, Lopes, Lucas, Trevisan, Norton, and Pérez, José
- Subjects
MACHINE learning ,COMPUTER science ,INFORMATION science ,CLASSIFICATION ,CARTOGRAPHY - Abstract
Science as a whole is organized into broad fields, and as a consequence, research, resources, students, etc., are also classified, assigned, or invited following a similar structure. Some fields have been established for centuries, and some others are just flourishing. Funding, staff, etc., to support fields are offered if there is some activity on it, commonly measured in terms of the number of published scientific papers. How to find them? There exist well-respected listings where scientific journals are ascribed to one or more knowledge fields. Such lists are human-made, but the complexity begins when a field covers more than one area of knowledge. How to discern if a particular paper is devoted to a field not considered in such lists? In this work, we propose a methodology able to classify the universe of papers into two classes; those belonging to the field of interest, and those that do not. This proposed procedure learns from the title and abstract of papers published in monothematic or "pure" journals. Provided that such journals exist, the procedure could be applied to any field of knowledge. We tested the process with Geographic Information Science. The field has contacts with Computer Science, Mathematics, Cartography, and others, a fact which makes the task very difficult. We also tested our procedure and analyzed its results with three different criteria, illustrating its power and capabilities. Interesting findings were found, where our proposed solution reached similar results as human taggers also similar results compared with state-of-the-art related work. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
48. Research Paper On Artificial Intelligence And It's Applications.
- Author
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Patil, N. H., Patel, S. H., and Lawand, S. D.
- Subjects
ARTIFICIAL intelligence ,EXPERT systems ,COMPUTER science ,WEATHER forecasting ,SERVICE industries - Abstract
In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing, service sector and so in the field of education. Study in the field of artificial intelligence has given rise to the rapidly growing technology known as expert system. Application areas of artificial intelligence is heaving a huge impact on various fields of life as expert system is widely used in these days to solve the complex problems in various areas as education, engineering, business, medicine, weather forecasting etc. The areas employing the technology of artificial intelligence have seen an increase in the quality and efficiency. This paper gives an overview of this technology and the scope of artificial intelligence in different areas with special reference to the use of this technology in the field of education along with its meaning, searching techniques, inventions and future. [ABSTRACT FROM AUTHOR]
- Published
- 2023
49. Paper-based microfluidics for rapid diagnostics and drug delivery
- Author
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Zhugen Yang, Kang Mao, Xiaocui Min, Hua Zhang, Kuankuan Zhang, Haorui Cao, and Yongkun Guo
- Subjects
0303 health sciences ,Medical diagnostic ,Foodborne pathogen ,Computer science ,Microfluidics ,Loop-mediated isothermal amplification ,diagnostic ,Pharmaceutical Science ,02 engineering and technology ,Paper based ,021001 nanoscience & nanotechnology ,03 medical and health sciences ,Paper-based microfluidics ,Molecular Diagnostic Techniques ,Pharmaceutical Preparations ,Infectious disease diagnosis ,LAMP ,Lab-On-A-Chip Devices ,drug delivery ,Drug delivery ,Systems engineering ,0210 nano-technology ,Nucleic Acid Amplification Techniques ,030304 developmental biology - Abstract
Paper is a common material that is promising for constructing microfluidic chips (lab-on-a-paper) for diagnostics and drug delivery for biomedical applications. In the past decade, extensive research on paper-based microfluidics has accumulated a large number of scientific publications in the fields of biomedical diagnosis, food safety, environmental health, drug screening and delivery. This review focuses on the recent progress on paper-based microfluidic technology with an emphasis on the design, optimization and application of the technology platform, in particular for medical diagnostics and drug delivery. Novel advances have concentrated on engineering paper devices for point-of-care (POC) diagnostics, which could be integrated with nucleic acid-based tests and isothermal amplification experiments, enabling rapid sample-to-answer assays for field testing. Among the isothermal amplification experiments, loop-mediated isothermal amplification (LAMP), an extremely sensitive nucleic acid test, specifically identifies ultralow concentrations of DNA/RNA from practical samples for diagnosing diseases. We thus mainly focus on the paper device-based LAMP assay for the rapid infectious disease diagnosis, foodborne pathogen analysis, veterinary diagnosis, plant diagnosis, and environmental public health evaluation. We also outlined progress on paper microfluidic devices for drug delivery. The paper concludes with a discussion on the challenges of this technology and our insights into how to advance science and technology towards the development of fully functional paper devices in diagnostics and drug delivery.
- Published
- 2020
50. Open software platform for automated analysis of paper-based microfluidic devices
- Author
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Daniel J. Wilson, Charles R. Mace, and Rayleigh W. Parker
- Subjects
Computer science ,Science ,Microfluidics ,Image processing ,02 engineering and technology ,01 natural sciences ,Signal ,Article ,Imaging studies ,Medical and clinical diagnostics ,Measure (data warehouse) ,Multidisciplinary ,Lab-on-a-chip ,business.industry ,010401 analytical chemistry ,Color intensity ,Process (computing) ,Bioanalytical chemistry ,Paper based ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Open software ,Medicine ,0210 nano-technology ,business ,Computer hardware - Abstract
Development of paper-based microfluidic devices that perform colorimetric measurements requires quantitative image analysis. Because the design geometries of paper-based microfluidic devices are not standardized, conventional methods for performing batch measurements of regularly spaced areas of signal intensity, such as those for well plates, cannot be used to quantify signal from most of these devices. To streamline the device development process, we have developed an open-source program called ColorScan that can automatically recognize and measure signal-containing zones from images of devices, regardless of output zone geometry or spatial arrangement. This program, which measures color intensity with the same accuracy as standard manual approaches, can rapidly process scanned device images, simultaneously measure identified output zones, and effectively manage measurement results to eliminate requirements for time-consuming and user-dependent image processing procedures.
- Published
- 2020
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