Reviewerly/exHarmony huggingface dataset:
Development of Interside Dimensions in the Process of Teaching Mathematics to Future Architects

The issues of development of intersubject communications at the present stage of the formation of digital education in the preparation of student architects are discussed. The idea of strengthening intersubject communications, mathematics and architecture is defended by a new meaningful replenishment of educational programs, mastering digitalization skills when solving mathematical problems by mathematical methods, and involving elements of competition implemented using Web technologies in educational activities.
Dualism in Bitcoin Dynamics: existence of an Upper Bound in Poincaré Recurrence Theorem for Deterministic vs Stochastic Behavior

In this paper we want to describe a model of the dynamics of the Bitcoin cryptocurrency system. We can define a duality in these dynamics: Bitcoin mostly behaves as a deterministic system and in some time intervals, much shorter, it enters a stochastic regime. In particular,using Poincare’s recurrence theorem, it was possible to study when the transition from one regime to another occurs. Furthermore, by applying our hypothesis to real data it was possible to explain a reason why the Bitcoin system is affected by such a high volatility.
A Cooking Knowledge Graph and Benchmark for Question Answering Evaluation in Lifelong Learning Scenarios

In a long term exploitation environment, a Question Answering (QA) system should maintain or even improve its performance over time, trying to overcome the lacks made evident through the interactions with users. We claim that, in order to make progress in the QA over Knowledge Bases (KBs) research field, we must deal with two problems at the same time: the translation of Natural Language (NL) questions into formal queries, and the detection of missing knowledge that impact the way a question is answered. The research on these two challenges has not been addressed jointly until now, what motivates the main goals of this work: (i) the definition of the problem and (ii) the development of a methodology to create the evaluation resources needed to address this challenge.
LibGuides: EDU 461: Children's Literature: Education Databases

This guide will help students in EDU 461 perform research and create lesson plans based on children's books.
Tholkaappiyam and Contemporary Language Change in Tamil

The grammar of a language is subject to change as language change occurs. For instance, the grammar explained by Nannul differs from that of Tholkaappiyam, although both are Tamil grammar treatises. The aim of this article is to explore the verses of Tholkaappiyam that have become obsolete grammar rules. The study is limited to the Eluthatikaram chapter of tholkaappiyam.
PMA LibGuides: How to Use OpenAthens: Create an OpenAthens Account

Guidance for completing the registration process and accessing the library's electronic resources through OpenAthens How to create an account with OpenAthens.
THE USE OF DIRECTED READING THINKING ACTIVITY STRATEGY TO ENHANCE STUDENTS’ READING COMPREHENSION

Introduction: The purpose of the study is to find out the improvement of student’ reading comprehension through Directed Reading Thinking Activity Strategy. This study was designed to find out the answer to the following question: Is there any significant difference in reading comprehension achievement before and after giving DRTA treatment?. Method: The instrument used for this study is reading comprehension test, which contained 30 question and administreted to SMP Advent II Bandung.The respondent of this study is the 2nd year students of Junior High School consisted of 26 students. Result: The result of this study showed that class improved in their reading comprehension . In addition, There is a significant use through Directed Reading Thinking Activity Strategy.
VARIOUS SPAMS AND CLASSIFICATION ALGORITHMS FOR DETECTION OF SPAM EMAIL THROUGH COMPARING J48, SVM AND NAIVE BAYES CLASSIFIERS USING WEKA TOOL

Electronic Mail (E-mail) is playing the most important and significant role taken in the world of information communication for users. Nowadays, Email is the most common and effective mode of communication technology for communication and sharing information with both end-users. With the rapid increase of email users, there will be an increase in the volume of spam emails too from the past few decades. Emails are categorized into ham and spam emails. This paper illustrates on different existing email spam filter system regarding Machine Learning Technique (MLT) such as Naive Bayes, SVM, J48 and presents the classifications, evaluation, and comparison on different email spam filtering algorithms using WEKA Software and performs various parameters like finding Accuracy, Recall, Precision, Measures and False Position Rate, etc. The final output result should be ‘1’ if it is finally spam present, otherwise, it should be ‘0’ for non-spam. In this analysis, the Final out presents that the J48 classifier is the best and efficient algorithm for spam or not spam emails among other algorithms.
ISSUES AND CHALLENGES IN THE USE OF GEOGEBRA IN TEACHING AND LEARNING OF MATHEMATICS IN SECONDARY SCHOOLS IN MAKURDI METROPOLIS

This research work examined the issues and challenges in the use of GeoGebra in teaching and learning of Mathematics in Secondary Schools in Makurdi metropolis. Survey research design was adopted for the study. The population of 190 students and 10 teachers were used as respondents for the study. The researcher used both primary and secondary sources obtained by the use of a well-structured questionnaire. The data collected were analyzed using descriptive statistics such as frequency, simple percentages. Confirmatory factor analysis was used for to test the validity of the instrument while the Cronbach Alpha Coefficient was used to establish the reliability of the instrument. The result of the study showed that unavailability or no computer is the major challenges preventing teaching and learning of Mathematics in the selected Secondary Schools in the study area this is followed by low teacher competence as one of the challenges preventing the use of GeoGebra in the teaching and learning of Mathematics in the selected Secondary Schools in the study area. Unavailability of GeoGebra software and erratic power supply are some of the factors. It was concluded that with the availability of dynamic mathematics software, like GeoGebra, teachers will be able to make graphical representations of mathematics concepts and thus present difficult concepts in a very clear and unambiguous manner. It was recommended among others that Policy makers and school authorities should consider the acquisition of computer and GeoGebra software so that they can improve on the level of comprehension of mathematics being taught in school.
Calculation of the Size of Biomimetics Robots According to Needs and Purpose of Use

&lt;p class="0abstract"&gt;&lt;strong&gt;&lt;span&gt;- &lt;/span&gt;&lt;/strong&gt;&lt;span&gt;In the 4&lt;sup&gt;th&lt;/sup&gt; industrial revolution era, more countries and companies tend to use specialized robots to replace workers. Especially in a hazardous and high risks working environment, robots that perform human tasks are also humanistic. It’s even the unique solution to ensure life safety. Currently, scientists are much interested in robots that look, act like animals; including biomimetic robot models have capable of flexible mobility and widely application potential. However, it’s difficult to calculate, design and manufacture dynamic robots. In this article, the author will present an overview of dynamic robots and propose new methods and calculation techniques to design and build biomimetic robots. The experimental results show that proposals have contributed to solve those difficulties and being practically applicable to make a biomimetic robot.&lt;/span&gt;&lt;/p&gt;
Improving Bing Web Search using Azure GPUs – presented at SC19

Presentation slides on Improving Bing Web Search using Azure GPUs given by Jeffrey Zhu and Mingqin Li.
Model of Grievance Redressal System using PHP-A Preferred Web Technology

Grievance Redressal System is considered as a platform to obtain and to perform suitable actions on the complaints registered by complainants facilitating timely resolutions on issues raised by them and ensuring effective and efficient working of the redressal process. Implementation of smart web portal for grievance processing bridges the gap between the aggrieved person and action-takers and thus helps to pursue timely resolution of grievances, while maintaining affordability and ease to the users. In this paper, we focus on the development and the execution of the above mentioned web portal which can be incorporated for the same. This paper put an insight into the incorporation of the major functionalities and the problem areas. Our focus will be on the major activities of Grievance Handling Module which is to receive various types of grievances from complainants, facilitate speedy processing of Grievances received, updating the status of Grievances as and when required, informing the complainant about the action taken. The entire solution is developed using web technologies and data operation is performed over a web server. Functionalities and implementation of PHP is analyzed and the shortcomings are overcomed accordingly.
Regional Implementation Experience of the “Soft” Model of Geometry Teaching Based on the Computer Experiment

Some results of implementation of the “soft” model of geometry teaching in schools of Nizhny Novgorod region are considered. The realization is based on the ideas of experimental mathematics, according to which the content of educational materials (open problems in geometry) is selected and developed. In addition, it is contributing to the development of students’ intelligence. Thus, student models the geometric situation using open-source software actively, is mobile in the selection of the software, understands geometric facts and regularities, acquires the ability to argue (to analyze, to compare, to generalize, to make conclusions). The experience of the using computer experiments at geometry lessons is examined form psychodidactic approach’s point of view. The advantages of special educational tasks are proved: open problems in geometry, which are based on the “soft” model of teaching geometry using the ideas of experimental mathematics. The peculiarity of the proposed open problems in geometry is that they, being a projection of traditional closed classical problems in geometry, at the same time, firstly, provide the formation of the main components of the mental (cognitive, conceptual, metacognitive, intentional) experience of the student and, secondly, create conditions for the manifestation of individual cognitive styles of students. Enrichment of metacognitive experience is carried out by means of chains of tasks, which create conditions for formation of abilities to plan, predict and control the mathematical activity.
Streamlining the Testing Process of Photonic Chips

The Shastri lab focuses on generating advanced photonic chips for signal processing and computing by combining artificial intelligence (AI) and photonics. These chips are utilized in neuromorphic silicon photonics which has various applications such as improving computational efficiency in AI and neuromorphic computing hardware. One of our advanced chips can be divided into three physical components: receiving a light signal, modulating the signal, and lastly detecting the signal with a photodetector on chip. Prior to utilizing these chips for experiments, it is vital to ensure that all components are functioning correctly.&#x0D; My work focused on streamlining the testing process of the photodetector by improving the signals used within the process. In order to test the photodetector, the light entering must be modulated externally using a Mach-Zehner Modulator (MZM). The MZM takes in a light signal and splits it into two where they experience a phase shift and when the two are recombined create a modulated signal. The signal’s modulation is determined by changing the radio frequency (RF) signal sent from a driver into the modulator.&#x0D; Another aspect of my work was enhancing the control of the RF signal produced by the driver. The driver requires specific positive and negative voltages to generate ideal frequencies which are supplied by a unique power source. The voltage source was designed to ensure that the driver never received a damaging current or voltage and had a user-friendly interface to control the modulation of the signal.
Neural-Network-Based Feature Learning: Auto-Encoder

In recent years, deep learning has garnered tremendous success in a variety of application domains. As a representative of unsupervised learning in deep learning, auto-encoder (AE) is favored by many researchers because of its good feature learning ability and the ability to process a large amount of unlabeled data and save manpower and material resources. In this chapter, the AE and its variant versions are elaborated. In particular, the basic theory and characteristics of denoising auto-encoder (DAE) and stacked denoising auto-encoders (SDAE) are introduced. Then, combined with various application fields, the application of various AEs is classified and summarized. In the experimental part, we introduced the application of AE in fault diagnosis in detail and also proved that the performance of traditional AE is better than PCA.
US court rejects professional photographer’s copyright infringement claim against Mashable

US court rejects professional photographer’s copyright infringement claim against Mashable Nikhil Purohit Nikhil Purohit National Law School of India University Email: nikhilpurohit@nls.ac.in https://orcid.org/0000-0001-5279-068X Search for other works by this author on: Oxford Academic Google Scholar Journal of Intellectual Property Law & Practice, Volume 15, Issue 7, July 2020, Pages 503–504, https://doi.org/10.1093/jiplp/jpaa082 Published: 18 June 2020 Article history Received: 04 May 2020 Accepted: 11 May 2020 Published: 18 June 2020
Three-Dimensional Volumetric Renal Reconstruction Based on Geometrical Coefficients.

The article presents an innovative method of 3D computer tomography (CT) image reconstruction of kidney. Diagnosis based on CT scanning allows to obtain projections of multi-dimensional object, made from different directions in order to create cross-sectional (2D) slices. Standard techniques for identifying kidneys in CT images analyze each 2D slice separately. It causes different reconstruction accuracy for the same object at its different heights. This is the main problem of a machine-learning systems. Reconstruction error of end-slices of the kidney model is often greater than the error of the kidney's middle part. The main idea of the technique presented in this paper is to analyze the largest coherent 3D spatial-areas. This technique allows to increase the accuracy of kidney detection as well as to decrease the FP (false positive) error. An additional advantage of the developed algorithm is the possibility of obtaining a precise model representing the 3D view of an entire kidney.
강홍모와 전주 영생학원의 설립과 운영의 역사적 의의

The elder Kang Hong-mo had a mission to spread the gospel through education to orphans and economically underprivileged youths in the midst of the crisis of life during the Korean War. He established the Youngsaeng Institute with the Youngsaeng Church to educate them. The Youngsaeng Institute started in Jeonju as a night school and co-education school for the first time in 1956. Youngsaeng Middle School operated day and night classes together in 1962 as more students wanted day classes. And in 1963, Youngsaeng Girls' Middle School and Youngsaeng Girls' Business School were established for girls. And as the demand for higher education was growing by local officials, elementary school teachers and pastors, the Yougsaeng College was established at night for them in 1964. The Schools belonging to Youngsaeng Institute have undergone many changes in the face of new social changes in the 1970s. First, Youngsaeng Institute closed Youngsaeng Middle School and Youngsaeng Girls' Middle School in 1972 and consentrated on the development of high school and college. Second, as the demand for night education decreased, in 1978, High School shifted to daytime and Youngsaeng College established daytime, which combines daytime and nighttime. Third, in 1976, Youngsaeng Industrial College was established to foster the industrial manpower needed for the Korean society where the heavy and chemical industry developed.
Evaluating Coherence in Dialogue Systems using Entailment.

Evaluating open-domain dialogue systems is difficult due to the diversity of possible correct answers. Automatic metrics such as BLEU correlate weakly with human annotations, resulting in a significant bias across different models and datasets. Some researchers resort to human judgment experimentation for assessing response quality, which is expensive, time consuming, and not scalable. Moreover, judges tend to evaluate a small number of dialogues, meaning that minor differences in evaluation configuration may lead to dissimilar results. In this paper, we present interpretable metrics for evaluating topic coherence by making use of distributed sentence representations. Furthermore, we introduce calculable approximations of human judgment based on conversational coherence by adopting state-of-the-art entailment techniques. Results show that our metrics can be used as a surrogate for human judgment, making it easy to evaluate dialogue systems on large-scale datasets and allowing an unbiased estimate for the quality of the responses. This paper has been accepted in NAACL 2019.
Usnea: An Authorship Tool for Interactive Fiction using Retrieval Based Semantic Parsing

The reader of a choose your own adventure novel and the user of a modern virtual assistant have a subtle similarity; both may, through the right lens, be viewed as engaging with a work of Interactive Fiction. This literary form emerged in the 1970s and has grown like a vine along the branch of modern technology, one guided by the advances of the other. In this work we weave together threads from the Interactive Fiction community and neural semantic parsing for dialog systems, defining the data model and necessary algorithms for a novel type of Interactive Fiction and open sourcing its accompanying authoring tool. Specifically, our work integrates retrieval based semantic parsing predicates into the branching story structures well known to the Interactive Fiction community, relaxing the relatively strict lexical options of preexisting systems.
Intelligens robotmegfogó fejlesztése

This paper is dealt with a development of an intelligent robotic end-effector, which is capable to use assembly tasks involving the loss of stability. The end-effector contains two main parts, the first is a commercially made pneumatic gripper, which can be used to grip and manipulate objects. The second part of the system is uniquely developed, and it contains a microcontroller and a load cell. In order to demonstrate the applicability of the designed and manufactured end-effector the assembling process of a battery pack is described in this paper.
TRANSDISCIPLINARY IN MODERN ECONOMIC EDUCATION: APPROACHES AND EVOLUTION

The collective monograph describes the theoretical and practical aspects of development of the European research area. The general issues of the history of pedagogy, theory and methods of teaching, correctional pedagogy, theory and methods of vocational education and educational management, the current state of philological research, etc. are considered. The publication is intended for scholars, teachers, postgraduate students, and students of pedagogical specialties, as well as a wide readership interested in pedagogy and philological. Theoretical and practical aspects of the development of the European Research Area: collective monograph / edited by authors. – 2nd ed. – Riga, Latvia : “Baltija Publishing”, 2020. – 334 p.
RESEARCH OF MANAGEMENT PROBLEMS OF HUMAN-ORIENTED EDUCATION

The article aims to analyze the management problems of education based on the research conducted by the author that is the representative of South Ural Scientific School of professor G.N. Serikov. Historical background, subjective and objective reasons for the study of the problems of human-oriented education management have been identified. The stages to solve the problem within the framework of the scientific school that complies with other scientists have been singled out using the methods of historical-logical and comparative analysis. The results of the most prominent individual studies and collective works in this area have been described. Significant concepts, models and other results in the field of human-oriented education management have been highlighted. They are program-targeted management of the regional educational system; interdepartmental interaction of regional education management authorities in the agricultural region; management assistance to professional self-determination of risk adolescents in the regional educational system; principle of controlled evolution in education management; a combination of subjective and objective factors of continuing education of the heads of educational organizations; culture of management in the field of physical education and sports.
Hand Gesture Digit Recognition using Machine Learning with Image Processing

In this paper a novel method for hand gesture recognition system for two digit classification through webcam is proposed. The benefit of sign language is to overcome a communication barrier gap among people who have speech as well as hearing problems. Actually sign language is a combination of gestures as well as postures. Gestures uses hand for making signs with hand or without an object which is the natural way of communication. Sing language system helped disable people to express their emotions without the aid of an interpreter. The basic idea of this system is to identify gestures from digital images or image capturing electronic devices and convert it into text. Gesture based communication is very complex due to variation in color, size and shape of the hand of individuals. Different methods for gesture recognition are data glove-based method, motion sensors connected to the hand. These sensors collect the information about the position and motion of the hand. The sensor-based method requires an appropriate equipment setup. It may interfere with the natural movement of the hand and is costly. To overcome the limitations of data glove-relied methods, a vision-based methodology should be developed which should be fast as well as reliable. The proposed system combined the learning capabilities of machine learning with the live feed of image processing to solve the recognition problem.