Reviewerly/exHarmony huggingface dataset:
Research on Knowledge based Expert System for Medical Diagnosis

In this paper we propose the design and implementation of a generic medicalknowledge based system (MKBS) for identifying diseases from several symptomsand signs. To diagnosis diseases, user will be asked by the system fordifferent questions and finally inference engine will use certainty factor toprune out low possible solutions. In this system some important aspects likeKnowledge bases system, Knowledge representation, Inference Engine has beenaddressed. New certainty fact has been introduced to get conclusion about samefiring rules. The proposed disease diagnosis system also uses a graphical useruser interface to facilitate user to interact a with expert system more easily.The proposed system is generic and knowledge based, and it can be integratedwith any rule bases system in disease diagnosis.
LibGuides: Social Media: How to Search the Library Catalog

This guide provides resources pertaining to social media and its effect on society. It is primarily geared toward students who have selected Social Media as the topic for their research and writing assignments.
Research Guides: Off Campus and Remote Access: EZProxy Authentication

This guide provides information about EZproxy authentication to access the library's subscribes resources from off-campus.
Extending CBS to efficiently solve MAPFW

Multi-Agent Path Finding with Way-points (MAPFW) is the problem of routing agents through a graph past a set of waypoint to a goal location, without agents colliding, with the shortest combined path length. This problem has to the authors knowledge not been investigated yet even though it has implications in train scheduling problems and video game artificial intelligence. In this paper an extension to Conflict Based Search (CBS), an algorithm that solves Multi-Agent Path Finding problems without waypoints, is proposed to solve MAPFW problems, named CBSW. The effect of extending the Bypass optimization and the Prioritizing conflicts optimization for CBS to CBSW is investigated and a new optimization that improves the performance of CBSW in corridors is proposed. CBSW is compared with other MAPFW solvers that have been developed made simultaneously, and experimental result show a large speed up using CBSW on benchmarks with large maps or many waypoints.
Changes in the Regional Structure of China s Domestic Market and Implications

In response to intensifying conflict with the United States and the shock of Covid-19, China reinforced its strategy to expand domestic demand. China's domestic market is an important factor affecting Korea's exports and economic growth. Accordingly, a large body of research has been conducted in Korea on China's expansion policy and changes in its domestic market. However, most studies have analyzed changes in China's consumer market, import market and imported items, limiting the overall understanding of China's domestic economy. In addition, most studies on China's regional domestic market have analyzed the market segmented by region.Recognizing this gap, this study expanded the scope of analysis of the domestic market in China to the entire domestic final demand, and analyzed inter-regional trade relations and other economic relations based on an inter-regional input-output analysis, which has rarely been attempted in analyses of the Chinese domestic market.In addition, the changes in the regional structure of the Chinese import market and Korea's competitiveness were analyzed using Chinese trade statistics. In particular, by synthesizing the changes after the global financial crisis, a turning point in China's economic structure, we project future changes in the regional economic structure of China, which emphasizes the independence of its domestic economy. In addition, in the era of US-China conflict, the study aimed to select regional markets meaningful to Korea, and to present strategic directions toward China focusing on regional cooperation and approaches into the domestic market.
BLOOD DONATION APP (BLOODO)

Human needs blood to live and there is no substitute for it. The Blood Donation App (BlooDo) is aimed to design and develop an application that will help in giving easier way for the blood donor in donating blood. The BlooDo app has features like notify the user when there is any blood donation event nearby, keep track of the previous date of donating blood and register asa blood donor via online. This application can help by notifying the user when there is any blood donation event happened nearby. With the help of this application, the donors can manage and plan their time well whenever they want to donate blood. This application will beinstalled on smart devices (android).
Offensive Language Identification in Code-Mixed Social Media Posts/Comments

Code-mixed contents are a challenge of Natural Language Processing tasks due to their completely different characteristics that vary from the traditional structures of the languages. This gained the researchers' attention and also led them to involve in many tasks such as identifying different forms of such content (e.g., hate speech, emotions, and sentiments) and creating datasets. In this paper, we propose a novel approach called hypers to classify offensive content on code-mixed (Tamil-English) text from Social Media posts/comments into their corresponding class (Not-offensive, Offensive Targeted Insult Other, Offensive Targeted Insult Individual, Offensive Targeted Insult Group, not Tamil, and Offensive Untargeted), using bidirectional approach and fine-tuning strategies. We utilize the shared parameters of neural networks to map the posts/comments to common offensive class space and also used some preprocessing techniques to convert emoji into text, remove emoticons, lowercasing, remove numbers, some specific characters, etc. Our proposed model got a 0.73 F1 score and achieved state-of-the-art results in the particular task. Keywords: code-mixing, offensive, Tamil
What Is A Good Teacher For High School Students? --A survey of high schools in Yangtze River Delta

through the methods of literature review, questionnaire survey and mathematical statistics, this paper makes a survey and research on senior high school students in the Yangtze River Delta region, and gets the following conclusions: (1) students generally pay more attention to teachers' teaching methods and basic qualities (such as professional knowledge, ability of communicating with others, etc.) than their appearance; (2) boys' and girls' evaluation of good teachers has significant differences in personal image indicators; (3) The significant differences are mainly focused on the following indicators: images, hobbies, language expressions and teaching styles.
A Study on Innovation of College English Teaching Mode in Application oriented University Based on POA

This paper, based on POA, takes whole-person education as the teaching principle, and combines inquiry and collaborative learning to innovate the college English teaching mode, which aims to transform the “input-driven” teaching mode into “output-driven” teaching mode, so as to meet different needs of the students and make them change from passive recipients to active participants.
Design and construction of remote patient monitoring device

Health care services are important part of the society, automating these services lessen the burden on humans and eases the measuring/monitoring process. The construction of local remote patient monitoring system (RPMS) was done using the Arduino Uno connected to the global system for mobile (GSM) module SIM 800a, heart pulse sensor and body temperature sensors. It worked with 5 V power supply and the output is read on the liquid crystal display (LCD). The constructed device was tested by measuring the body temperature, heart pulse and electrocardiogram (ECG). The testing was conducted on 5 willing students and the values measured were within the normal body temperature between 36.1 to 37.2 °C. The device also sent message to alert the doctor when the value went below the prescribed value. The response time of the the device to send and receive short message service (SMS) is between 6 s to 13 s. The RPMS worked as intended and when improved upon by neater coupling and packaging, it will be a sellable low-cost product to the country locals as health care monitoring device.
GEMS: genetically evolving models in science

Computational scientific discovery is an important area of research in cognitive science. Not only can a scientific theory be represented by a computer program, but it can also be discovered by computers, using techniques and methodologies from artificial intelligence. Here, we present a new methodology currently under development, called GEMS, that has been successfully applied in cognitive science in order to semiautomatically generate scientific theories. GEMS is an application of genetic programming that, given the protocol of an experiment, a set of experimental data and elementary operations (in our case, elementary psychological processes), evolves programs that ‘behave’ like an experimental subject. From one generation to the next, the programs are improved thanks to evolutionary plausible mechanisms that aim to minimise the discrepancy between model predictions and data. Interestingly, GEMS makes it possible to perform an efficient search in the combinatorial model space; the output of GEMS is a formal scientific theory of a specific dataset, expressed as a computer program. In this paper, we present the main features of GEMS with an example of how it could be applied in a hypothetical scenario; we discuss the theoretical implications of this approach for scientific discovery; and we present ideas for future research in cognitive science using GEMS.
A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization

A convergent algorithm for nonnegative matrix factorization (NMF) with orthogonality constraints imposed on both basis and coefficient matrices is proposed in this paper. This factorization concept was first introduced by Ding et al. (Proceedings of 12th ACM SIGKDD international conference on knowledge discovery and data mining, pp 126–135, 2006) with intent to further improve clustering capability of NMF. However, as the original algorithm was developed based on multiplicative update rules, the convergence of the algorithm cannot be guaranteed. In this paper, we utilize the technique presented in our previous work Mirzal (J Comput Appl Math 260:149–166, 2014a; Proceedings of the first international conference on advanced data and information engineering (DaEng-2013). Springer, pp 177–184, 2014b; IEEE/ACM Trans Comput Biol Bioinform 11(6):1208–1217, 2014c) to develop a convergent algorithm for this problem and prove that it converges to a stationary point inside the solution space. As it is very hard to numerically show the convergence of an NMF algorithm due to the slow convergence and numerical precision issues, experiments are instead performed to evaluate whether the algorithm has the nonincreasing property (a necessary condition for the convergence) where it is shown that the algorithm has this property. Further, clustering capability of the algorithm is also inspected by using Reuters-21578 data corpus.
The Role of Integrated Interdisciplinary Links in the Study of the Mother Tongue in Primary School

The article focuses on an important problem stipulated by cardinal changes in the theory and practice of training and education of children of primary school age. Its topicality is caused by the implementation of the New Ukrainian School Concept, the essence of which is to change the teaching methods of primary school children bringing them most closely to play activities that is a characteristic feature of mental and physical development of children in primary school age. Purpose. To clarify the importance of interdisciplinary connections and interdisciplinary integration in Ukrainian language lessons in the primary grades of the New Ukrainian School, to outline some aspects of the realization of the essence and importance of this phenomenon. Methods. Analysis of scientific literature on the problem, generalization and systematization of the collected material, modeling of integrated processes. Result. The article focuses on various aspects of the implementation of integrated interdisciplinary links in Ukrainian language lessons, including elements of classes in language and reading, language and mathematics, language and science, language and computer science, lan-guage and art. Due to the fact that the new curriculum for primary school students offers the introduction of such subjects as “I explore the world”, “I am in the world”, “Environment”, “Health Technologies”, “Natural Science” having an integrated nature in themselves, it allows the primary school teacher to expand the interdisciplinary links of disciplines studied by younger students. Originality. The article emphasizes that modern scholars propose to distinguish between the con- cepts of the “integrated learning” and “interdisciplinary links”, which until recently, were interpreted in the literature as similar phenomena. Based on certain theoretical principles of the integrated and interdisciplinary links, different options for their use in native language lessons in primary school have been proposed.Conclusion. Thus, the teacher should analyze the educational material from the proposed subjects, choose topics that are similar in content and purpose, syn-thesize this material and organically combine educational material.
PENERAPAN SISTEM INFORMASI AKUNTANSI PENJUALAN KREDIT PADA PT. BINO MITRA SEJATI CABANG MAKASSAR

This research aimed to find out the implementation of accounting information system on credit sale at PT. Bino Mitra Sejati Makassar. The type of data used was qualitative data. Techniques of data collection were interview, library study, observation and documents. Based on the result of data analysis, it showed that system of accounting information on credit sale at PT. Bino Mitra Sejati has run well. This can be seen from all the related functions, documents used, accounting notes, and network on procedures sales that have run properly
The morphology of compound numerals: A cross-linguistic study

Compound numerals (CNs) are numerals composed of two or more numerals, e.g., hundred three. CNs fall into two classes called additive compound numerals (ACNs; e.g., hundred three = 100+3) and multiplicative compound numerals (MCNc, e.g., three hundred = 3 x 100). There are two main approaches to their analysis. Analysis A (e.g., He 2015) says that CNs form a constituent that quantifies over the noun, see (1a, 2a). Analysis B (e.g., Ionin and Matushansky 2018) says that each numeral independently combines with the expression denoting the counted entity. Our talk investigates the morphology of compound numerals in a sample of 20 diverse languages in order to determine which of these hypotheses is more accurate.
Enfoques y herramientas para la enseñanza de la Termodinámica Técnica durante la pandemia de COVID-19: retos y oportunidades

The teaching experience on the subject of Engineering Thermodynamics and Fundamentals of Heat Transfer is presented for three Bachelor studies taught at the School of Engineering and Architecture of the University of Zaragoza (EINA): Degree in Industrial Technology Engineering (S3), Degree in Electrical Engineering (S3) and Degree in Electronic and Automatic Engineering (S4). Specifically, the comparison is made between face-to-face teaching prior to confinement and the remote teaching to which the University has been forced by the COVID-19 pandemic since the academic year 2019-2020. Under this scenario, the usefulness of different pedagogical approaches and technological tools is analyzed, with special emphasis on those that have provided the best results and can be used also for attendance teaching.
A Systematic Review of Video Analytics Using Machine Learning and Deep Learning—A Survey

In recent years, video surveillance systems evolve a great interest as the application area. Recent studies have proven integration of digital image processing, computer vision, artificial intelligence and data analytics into video surveillance application. This paper provides a systematic review of the state-of-the-art video analysis techniques available in machine learning and deep learning. Video processing research trends illustrate a survey on practices like object detection, object recognition, object tracking, traffic control and monitoring, action and behaviour recognition, disaster management and so on. We further present focus on computational approaches for various challenges of video processing techniques, objectives of those techniques and evaluation based on multiple problems. In the end, we have discussed emerging issues in the field of video analytics and how machine learning and deep learning contribute to those issues.
LibGuides: LSC 504: Supporting Social Emotional Learning with Books by Abby Titmas: Pre-k and Lower Elementary

This guide helps to support Social Emotional Learning with books. This guide is meant for elementary school teachers and parents looking for Social Emotional Learning books, tools, and more information on social emotional learning. Book Recommendations for Social Emotional Learning
Blockchain applications in business processes exemplified for procurement

 Asharaf S., Adarsh S. (2017): Decentralized Computing Using Blockchain Technologies andSmart Contracts: Emerging Research and Opportunities, Kerala, IGI Global, 144 pages. Bunjaku F., Gjorgieva-Trajkovska O., Miteva-Kacarski E. (2018): Cryptocurrencies – Advantagesand Disadvantages, Journal of Economics, 2 (1), ISSN 1857-9973, 31 -39. Deloitte (2017): When two chains combine – Supply chain meets blockchain, Dublin. 24pages. Dhillon V., Metcalf D., Hooper M. (2017): Blockchain Enabled Applications - Understandthe Blockchain Ecosystem and How to Make it Work for You, Orlando, Apress, 240 pages. Dumitrescu G. C. (2017): Bitcoin – A Brief Analysis of the Advantages and Disadvantages,Global Economic Observer, Vol. 5, No. 2, 2017. Grand View Research (2018): Blockchain Technology Market Size, Share & Trends AnalysisReport by Type (Public, Private, Hybrid), By Application (Financial Services, ConsumerProducts, Technology, Telecom), and Segment Forecasts, 2018 – 2024, https://www.grandviewresearch.com/industry-analysis/blockchain-technology-market 80 pages. Hofbauer G. (2017): Technische Beschaff ung: Der Beschaff ungsprozess, editors: Hofbauer,G,; Hecht, D. Schriftenreihe: Strategisches Beschaff ungsmanagement, Band 2, uni edition,Berlin, 290 pages. Hofbauer G., Hellwig C. (2016): Professionelles Vertriebsmanagement: Der prozessorientierteAnsatz aus Anbieter- und Beschaff ersicht, 4th edition, Erlangen, Publicis, 583 pages. Kaijun, L., Ya B., Linbo J., Han-Ch, F., Van Nieuwenhuyse I. (2018): Research on AgriculturalSupply Chain System with Double Chain Architecture Based on Blockchain Technology,Future Generation Computer Systems, Elsevier, 86 (2018) 641–649. Morabito V. (2017): Business Innovation through Blockchain, Milan, Springer, 173 pages. SolarCity 2017: Consumer Trends in Sustainability, 16 pages. ZYCUS, 2017, Blockchain Technology: The CPO Guide to Transformative Technology,https://www.zycus.com/knowledge-hub/whitepapers/blockchain-technology-the-cpo-guide-to-transformative-technology.html, 14 pages.
Metodología artística en tiempos de COVID. El grabado como medio hacia la nueva normalidad

espanolLa comunidad artistica y el sector cultural son los movimientos que mas rapido y con mayor intensidad reaccionan ante las situaciones de alarma y emergencia social. El caso del COVID-19 ha permitido poner al alcance de todo el mundo nuevas formas de acceder al arte, a la creacion, a la cultura, a los proyectos DIY (do it your self) y a una gran cantidad de ideas e iniciativas que han surgido durante la pandemia para fortalecer y dar esperanza ante la dificil situacion. Queda claro, por tanto, el poder de la creatividad como motor social y que hemos sabido incluso trasladar al ambito educativo. No obstante, ahora nos encontramos con la “vuelta al cole” y con el desafio de garantizar una educacion de calidad y seguridad en un contexto presencial. Es por ello, que se propone una experiencia didactica adaptada a esta “nueva realidad” mediante la practica del grabado como herramienta metodologica. EnglishThe artistic community and the cultural sector are the movements that react fastest and most intensely to situations of alarm and social emergency. The case of COVID-19 has made it possible to make available to everyone new ways of accessing art, creation, culture, DIY (do it yourself) projects and a great number of ideas and initiatives that have emerged during the pandemic to strengthen and give hope in the face of the difficult situation. It is clear, therefore, the power of creativity as a social engine and that we have even been able to transfer it to the educational field. However, now we are faced with the “return to school” and the challenge of guaranteeing quality and safe education in a face-to-face context. For this reason, we propose a didactic experience adapted to this “new reality” through the practice of engraving as a methodological tool.
LibGuides: Guide to Creating Works Cited Using NoodleTools: Creating an Annotated Bibliography

This guide includes information about how to use NoodleTools to ethically and correctly cite sources.
Postgraduate and no presential education. A research from the resistances

In 2020 health emergency shocked educational system at all levels. It revealed the profound inequality that exists in the social, cultural and economic spheres in different sectors of the of the student population. The classroom was extinguished as a democratizing element of the students, and when this link was broken, the unequal conditions were exposed. The article argues from the analysis of conversations and questionnaires applied to the academic-student community of El Colegio de la Frontera Sur, the challenges of the use of information and communication technologies (ICT) in times of COVID-19. Among the main findings is that the confinement exposed the challenges of pedagogical updating and institutional organization; more than just connectivity and digital literacy. But even more importantly, it shows the resistance that was built from students and teachers.
Visualizing the Embedding Space to Explain the Effect of Knowledge Distillation

Recent research has found that knowledge distillation can be effective in reducing the size of a network and in increasing generalization. A pre-trained, large teacher network, for example, was shown to be able to bootstrap a student model that eventually outperforms the teacher in a limited label environment. Despite these advances, it still is relatively unclear why this method works, that is, what the resulting student model does ‘better’. To address this issue, here, we utilize two non-linear, low-dimensional embedding methods (t-SNE and IVIS) to visualize representation spaces of different layers in a network. We perform a set of extensive experiments with different architecture parameters and distillation methods. The resulting visualizations and metrics clearly show that distillation guides the network to find a more compact representation space for higher accuracy already in earlier layers compared to its non-distilled version.