Reviewerly/exHarmony huggingface dataset:
Research on Curriculum Construction for Artificial Intelligence Based on ECE4950 Curriculum of Cornell University

For the increasingly urgent needs for innovation leader associated with artificial intelligence, the ECE4950 curriculum of Cornell University has been used to construct curriculum of innovation leader. For this purpose, a teaching framework for training innovation leader has been given based on Engineering Practice Education Center of Harbin Institute of Technology combined with Eaton Company. Core work is to draw the conclusion from general education courses, professional courses and experiment courses which is associated with Gradient Boosting Decision Tree (GBDT). And then we have proposed a curricula system that includes mechanism analysis, hardware design, algorithm development, simulation and experimental verification for artificial intelligence. This work can give a reference for training innovation leader candidate with the characteristics of international artificial intelligence.
DEVELOPMENT OF TECHNICAL SKILLS AND ABILITIES OF OLDER PRESCHOOL CHILDREN IN THE PROCESS OF APPLICATION

The relevance of the study is due to the fact that at present the education system is focused on the development of a person's personality. It is at the preschool age that the foundations of the artistic and aesthetic development of the child are founded, creative consciousness is formed. Therefore, the use of productive forms of activity in the organization of education and leisure of preschoolers is very important, one of which is application. This article analyzes the theoretical and practical experience of using the application in preschool education. The author examines the methods, means and techniques that ensure the development of technical skills and abilities of older preschool children in the process of application. Particular attention is paid to the development of aesthetic perception through interaction with objects of art and the surrounding reality. The novelty of the research lies in the fact that the author substantiated the psychological and pedagogical conditions for the successful implementation of application activities by preschoolers, for the formation of technical skills and abilities in children during the application process, taking into account their age and individual characteristics, and shows the specificity of performing application work in different age groups of preschoolers. The article offers recommendations for the development of technical skills of older preschool children in the process of application, which can subsequently be used in their pedagogical activities by preschool educators and parents.
Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost

This paper presents the implementation and comparison of algorithms for support vector machines “SVM” and AdaBoost in the classification of public and private vehicles using segmented images of video sequences taken in Bogota city. Using as tools the OpenCV libraries implemented in C. The algorithms performances are remarkable and therefore its use could have a positive impact in the reduction of traffic problems.
Frequency and etiological spectrum of anemia presenting in a tertiary care hospital

Objective: To determine the spectrum of anemia with its frequency and etiology in a tertiary care hospital. Methodology: It was an observational cross-sectional study with simple random sampling. Total sample size was 130. Data collection was carried out after taking consent and ethical considerations. Duration of study was from September 2018 to February 2019.Results: Out of 130 patients, 60(46.15%) were male while 70(53.84%) female. We found Iron deficiency in 35.38% patients and anemia of chronic disease in 28.46%. Malnutrition, chronic kidney disease and Diabetes Mellitus were the common causes of anemia of chronic disease. Among the rare causes were rheumatoid arthritis (49.45%) SLE (21.75%), Chronic Myeloid Leukemia (19.80%), Acute Myeloid Leukemia (18.84%), lymphomas (10.56%) and dermatomyositis 9.96%.Conclusion: Most common type of anemia was Iron deficiency anemia caused by nutritional deficiency and menstrual irregularities. In anemia of chronic diseases, the most common causes were Diabetes Mellitus and Chronic Kidney Disease. Anemia caused by blood cancers was rare.
Here Be Dragons: Navigating the Uncharted Waters of Legacy Thesis and Dissertation Digitization

Digitizing 19,000 print theses and dissertations for ingest into an institutional repository is a daunting task fraught with pitfalls and peril. In the Fall of 2018, the Theses and Dissertations Digitization (TDD) Task Force at the University of Houston (UH) Libraries fearlessly set out to accomplish just that. We have learned many lessons about the legal and technical environment surrounding the retrospective digitization of scholarly works. This poster provides an overview of the project and highlights the many challenges the team faced as it assessed the project scope, developed workflows, and bootstrapped production activities.
Detection of Breast Cancer Using Neural Networks

Breast tumor is the main cause for death amongst women. The aim of this project is plan and contrivance a MATLAB created image processing structure to extract features of breast cancer images in order to classify breast cancer through neural network from mammogram x-rays image (MXI). Breast Cancer (BC) happens several of the most common reasons of mortality including women international. Therefore, this development arranges the organization in preparing the finding of the disease computerized so that further and more citizens may obtain it diagnosed in the early hours so as become treated.  Therefore, the experimental finding supports to protect the natural life of the ladies. Brest imaging is the elementary diagnosis for chest disease. It contain several articles that unhelpfully effects in finding of the breast tumour. The indications of recognition exist areas and small scale organization bands that are essential in quick exposure of breast tumour. This system has also the feature of online appointment booking (OAB) facility for patient with concerned radiologist (RD). This system will help the radiologist to detect early breast tumour and ~99% results has been enhanced. In addition we have categorized the breast tumor into three types Benign, Malignant and Normal.
Welcome to the Journal of Research in Data Science

Data science is defined as the collection of basic principles that support and lead the extraction of information and knowledge from data (Provost &amp; Fawcett, 2013). It is an interdisciplinary field as it requires mathematics, statistics, computer sciences, natural sciences, journalists, sociology, psychology and other disciplines to afford knowledge from data (Igual &amp; Seguí, 2017).
Respon Siswa Terhadap Pembelajaran Daring Materi Teks Eksplanasi Melalui Metode Inkuiri Berbantuan Media Sosial Instagram

One of the learning solutions during the Covid-19 outbreak is to do online learning. However, when online learning is implemented, of course there are many obstacles experienced by teachers or students. In practice, teachers must be able to determine the right methods and media during the online learning process. This study aims to determine student responses to online learning of explanatory text material through the Instagram social media assisted inquiry method. The method in this study uses a qualitative descriptive method by distributing questionnaires to class XI students at SMK PGRI 2 Cimahi, totaling 30 students. Online learning is done through the Google Meet application. Results Student responses to online learning explanatory text material through the inquiry method assisted by social media Instagram, namely students gave a positive response with an average response result of 83.7% are in the High category.
Identification of Technology-Relevant Entities Based on Trend Curves and Semantic Similarities

echnological developments are not isolated and are influenced not only by similar technologies but also by many entities, which are sometimes unforeseen by the experts in the field. The authors propose a method for identifying technology-relevant entities with trend curve analysis. The method first utilizes the tangential connection between terms in the encyclopedic dataset to extract technology-related entities with varying relation distances. Changes in their term frequencies within 389 million academic articles and 60 billion web pages are then analyzed to identify technology-relevant entities, incorporating the degrees and changes in both academic interests and public recognitions.
Brand Awareness and Customers Satisfaction towards OLA Cabs in Bengaluru North and South Region

The first dimension of Brand Knowledge is Brand Awareness. It is related to the strength of the brand node or trace in memory, as reflected by consumers’ ability to identify the brand under different conditions (Rossiter and Percy, 1987).Customer satisfaction is “an emotional response to the experiences provided by, associated with particular products or services purchased.This research paper is an attempt to explore the brand awareness and customer satisfaction towards OlaCabs in Bengaluru region (South and North regions).Convenient Data Sampling method is used for Data collection. The study uses both primary data and secondary data. The primary data was collected by using a well-structured questionnaire from 276 respondents and are entered into the sub-tables by using the simple percentage analysis.The tools like simple percentage analysis and Chi-Square Analysis were used. The study was conducted for a period of 5 months from March to July 2015. To conclude, Olacabs has positioned its brand and has created a good brand image in the minds of customers concerned with personal transportation services compare to Uber and Merucabs in Bengaluru.
تصور مقترح لتفعيل دور القيادات الأکاديمية في تنمية الموارد البشرية بجامعة الإمام محمد بن سعود الإسلامية

هدفت الدراسة إلى التعرف على واقع دور القيادات الأکاديمية  في تنمية الموارد البشرية بجامعة الإمام محمد بن سعود الإسلامية من وجهة نظر القيادات الأکاديمية ، والکشف عن الفروق بين متوسطات استجابة أفراد العينة حول آرائهم في واقع دور القيادات الأکاديمية  في تنمية الموارد البشرية تعزي لمتغير( الرتبة الأکاديمية , التخصص, سنوات الخبرة ) , ووضع تصور مقترح لتفعيل دور القيادات الأکاديمية في تنمية الموارد البشرية بجامعة الإمام محمد بن سعود الإسلامية، واستخدمت الدراسة المنهج الوصفي، واعتمدت على الاستبانة أداة لها طبقت على (134) قائدآ أکاديميا ، وتوصلت الدراسة إلى أن من أهم المعوقات: ضعف دور القيادة في توعية الطلاب باحتياجات سوق العمل وضعف دور القيادات الأکاديمية في تشجيع الأساتذة للمشارکة في المشروعات البحثية وضعف تنسيق القيادات الأکاديمية مع مؤسسات سوق العمل لتدريب وتأهيل طلبتها في مواقع العمل، کما توصلت إلى عدم وجود فروق ذات دلالة إحصائية بين متوسطات استجابة أفراد العينة حول آرائهم في واقع دور القيادات  الأکاديمية  في تنمية الموارد البشرية بجامعة الإمام محمد بن سعود الإسلامية تعزي لمتغير  ( الرتبة الأکاديمية , التخصص, سنوات الخبرة ), وفي ضوء نتائج الدراسة تم وضع  تصور مقترح لتفعيل دور القيادات الأکاديمية في تنمية الموارد البشرية بجامعة الإمام   محمد بن سعود الإسلامية.The study aimed to identify the reality of the role of academic leaders in the development of human resources at Imam Muhammad bin Saud Islamic University from the point of view of the academic leaders, and to reveal the differences between the response averages of the sample members about their opinions in the reality of the role of academic leaders in human resource development due to the variable (academic rank Specialization, years of experience), and developing a proposed vision to activate the role of academic leaders in the development of human resources at Imam Muhammad bin Saud Islamic University. The study used the descriptive approach, and relied on a questionnaire as a tool for it that was applied to (134) academic leaders, and the study concluded that among the most important obstacles: The weak role of leadership in educating students about the needs of the labor market, the weak role of academic leaders in encouraging professors to participate in research projects, and the weak coordination of academic leaders with labor market institutions to train and qualify their students in work sites. Their opinions on the reality of the role of academic leaders in the development of human resources at Imam Muhammad bin Saud Islamic University is attributed to the variable (rank Academic, specialization, years of experience), and in light of the results of the study, a proposed conception was developed to activate the role of academic leaders in human resource development at Imam Muhammad bin Saud Islamic University.
Push Notification Using Firebase Cloud Messaging (FCM) on Employee Attendance Application

The attendance system uses a tool called a fingerprint like a developing technology, if there is a new technology that is old, it will show its shortcomings, namely making long queues at the time of attendance, having to come to the place of absence, and requiring processing for real time notifications, plus at this time during the Covid-19 pandemic which requires employees to work from home (WFH). The purpose of this study is to produce an android-based attendance system that can be installed on all employees' android phones using Firebase Cloud Messaging (FCM) for real time notification features that will appear on the android phones of the dept heads and staff who use it. This study uses a prototyping system development method with a sequence of stages: needs analysis, design, prototype making, prototype evaluation, testing, implementation, and maintenance. The results of the notification application test successfully appear on the employee side and on the leadership side in the process of applying for leave or permission either approved or rejected on employees' android phones without having to open the application first and this application can be accessed anywhere and anytime to process permits or leave employees and provide real time notifications.
Ethiopian Higher Education and Economic Growth Nexus

Ethiopian government has paid great attention to higher education expansion and hence, it has been a national policy issue of the country. The study investigated the dynamic relationship between higher education and economic growth in Ethiopia using annual data collected from 1981-2014. Autoregressive Distributive Lag framework was used along with Error Correction Term so as to investigate long run relationship between real GDP, enrollment in higher education, gross capital formation and labor. The result from bounds test confirmed the existence of strong long run relationship between variables. Enrollment in higher education and gross capital formation has a positive long-run effect on real GDP. But, only enrollment in higher education has a negative effect in the short run. The study utilized granger causality test in order to examine causal relationship between higher education and economic growth. According to the test result, a unidirectional causality running from higher education to economic growth was observed. The necessary diagnostic tests were applied in order to check reliability and acceptability of model outputs and they were found satisfactory. Drawing on the finding it is recommended that government should continue expanding the provision of higher education and in the meantime, endeavor to improve the quality of the provision.
НЕКОТОРЫЕ ОСОБЕННОСТИ СОРБЦИИ ИОНОВ НАТРИЯ ИНТЕРПОЛИМЕРНЫМИ СИСТЕМАМИ, СОСТОЯЩИМИ ИЗ СЛАБЫХ И СИЛЬНЫХ ПОЛИЭЛЕКТРОЛИТОВ

The sorption of sodium ions in an aqueous medium by activated, as a result of remote interaction, interpolymer systems consisting of weak (polymethacrylic acid – poly-4-vinylpyridine) and strong (ion exchangers KU-2-8 – AB-17) polyelectrolytes was studied using the methods of electrical conductivity, pH-metry and atomic emission spectroscopy).References[1] Jumadilov T.K., Kondaurov R.G., Abilov Zh.A., Grazulevicius J.V., Akimov A.A. Influence of polyacrylic acid and poly-4-vinylpyridine hydrogels mutual activation in intergel system on their sorption properties in relation to lanthanum (III) ions // Polymer Bulletin. 2017. Vol. 74. P. 4701-4713. DOI: 10.1007/s00289-017-1985-3[2] Ferreira N.N., Ferreira L.M.B., Cardoso V.M.O., Boni F.I., Souza A.L.R., Gremiao M.P.D. Recent advances in smart hydrogels for biomedical applications: From self-assembly to functional approaches. European Polymer Journal. 2018. N 99. P.117-133. DOI: 10.1016/j.eurpolymj.2017.12.004[3] Ramirez E., Burillo S.G., Barrera-Diaz C., Roa G., Bilyeu B. Use of pH-sensitive polymer hydrogels in lead removal from aqueous solution // Journal of Hazardous Materials. 2011. N 192(2). P. 432-439. DOI: 10.1016/j.jhazmat.2011.04.109[4] Wissocq A., Beaucaire C., Latrille C. Application of the multi-site ion exchanger model to the sorption of Sr and Cs on natural clayey sandstone // Applied Geochemistry. 2018. N 93. P. 167-177. DOI: 10.1016/j.apgeochem.2017.12.010[5] Dubey S.S., Grandhi S. Sorption studies of yttrium (III) ions on nano maghemite // Journal of Environmental Chemical Engineering. 2016. N 4(4). P. 4719-4730. DOI: 10.1016/j.jece.2016.11.006
Gross Domestic Regional Product Reconciliation and Compilation Application Development in Sulawesi Selatan

GDRP compilation in Indonesia is carried out using a mixed method between the top-bottom and bottom-up methods. The use of these methods resulted in inevitable statistical discrepancies. Regencies/municipalities GDRP reconciliation along with province is carried out annually to maintain the value of these statistical discrepancies. The collection/compilation of main tables of GDRP of regencies/municipalities along with provinces is still carried out in the conventional way, as well as in the reconciliation process. The development of information technology and e-Government encourages the implementation of information technology to increase the effectivity and efficiency of internal operations in the government, including the compilation and reconciliation process of this GDRP. Application development with the prototyping method for the compilation and reconciliation process can be a solution to conventional methods that are still in use. The GDRP reconciliation and compilation application that was built has been used by the BPS-Statistics of Sulawesi Selatan Provinceand can be duplicated elsewhere.
INTERACTIVE POSTER AS A TYPE OF ELECTRONIC EDUCATIONAL RESOURCE

In the article, the authors explore the electronic educational resource created in the form of interactive electronic posters. The researchers note that an interactive electronic poster cannot be a static illustration or a set of multimedia components; it has to allow the content of the poster to interact with the user. It is also substantiated that interactivity is provided through the use of various interactive elements: links, navigation buttons, areas of text, or digital input. The authors of the article use a concrete example to prove that interactive posters are one of the most effective types of electronic educational resources used in education. During the research, it was considered the model of the electronic educational resource “Mathematics. Formulas”, its structure, navigation, and principles of operation. The main effects of interactivity used in this learning tool are identified and described, in particular the effect of interactivity, such as the ability to open and close relevant records, formulas, figures, which allows activating thinking and attention, promotes better memorization of educational material. The next effect is the ability to make certain images visible or invisible, which allows placing a maximum of information on a website with a limited size. The effect of allowing the image to move along a web page allows focusing on selected elements that belong to the content of this web page. The ability to make entries on the website, as another effect of interactivity, allows a teacher to perform them on the selected website. Another effect of interactivity such as the ability to clear text fields, which saves time in class, is considered. The use of electronic posters with these effects facilitates the process of memorization and study of basic formulas in mathematics by students, facilitates the process of their preparation for external independent assessment, provides an opportunity to independently study the learning material in algebra and geometry, check their knowledge at any convenient time, build your own educational trajectory
LEARNING CHARACTER BASE LEARNERS IN INDONESIA (Series Two: Research on English Phonology Learning Models)

This article aims to determine the learning character of English phonology base learners in Indonesia. This research uses mixed methods. Mixed methods apply a sequential explanatory design. This study collected data through surveys (241 respondents), interviews (147 students), observations (147 students in nine universities) and documents. This study finds the minimum or maximum learning character of English phonology in Indonesia. Data analysis refers to data reduction, data presentation and data conclusion. This study shows, 234 (96.3%) of 241 respondents discussed vowels and consonants as minimal material. 388 respondents have significant deficiencies in discussing syllables, stress and intonation as the maximum material. The minimum material requires the learner to meet the pronunciation standards for vowels and consonants according to the International Phonetic Alphabet and Received Pronunciation. The maximum material requires the ability of learners to produce, describe and understand English sounds with the relevance of syllables, stress and intonation. Learners feel that the allocation for two credits and dynamic learning media is still deficiencies and needs more additions. Learners need private learning roles. The researcher only found the use of finance in private lessons with relevant tutors. The deficiencies of time allocation, learning resources, related participation and finances do not result achieving the maximum material. The learning character of English phonology will automatically result the adjustment of learning methods to achieve maximum results. This article is very helpful in determining the learning character of English phonology in Indonesia.
Applications of Generative Adversarial Network on Computer Aided Diagnosis

Generative Adversarial Networks (GAN) advocate sophisticated domain-specific data augmentation by making use of a number of GAN techniques, wherein the accuracy of the results derived from synthesizing effectually reduces the problem of data scarcity in medical imaging. GANs generally use a generator and a discriminator model that are trained together in which there is a reproduction of new image and subsequent identification of the original from the generated ones. To optimize on the clinical detection and decisions, GANs are used in conjunction with several deep learning models, where the adversarial learnings are used to train them to improve the accuracy of segmentation. These frameworks can then be generalized for CAD(x) or CAD(e). GANs’s capability to model high-dimensional data, handling missing data, and making provisions for multiple plausible answers in the segment of image synthesis and translation has culminated in frequent usage of this technique in computer aided diagnosis.
Distributed big data computing platforms for edge computing

In this chapter, we present and analyze some popular platforms for Big Data processing, with a focus on edge computing. We start with a review of edge computing, followed by a classification of frameworks and models for Big Data processing. In the next section, we describe some well-known platforms for Big Data processing, such as MapReduce, Spark, Flink and Google Cloud Dataflow with its open-source version under Apache Beam. In different section, we present Big Data frameworks specific to edge computing, including hybrid MapReduce and Apache Edgent. Finally, we summarize the chapter by presenting challenges and opportunities for research in this area.