Reviewerly/exHarmony huggingface dataset:
Automatic Learning Assistant in Telugu

This paper presents a learning assistant that tests one's knowledge and gives feedback that helps a person learn at a faster pace.A learning assistant (based on an automated question generation) has extensive uses in education, information websites, self-assessment, FAQs, testing ML agents, research, etc.Multiple researchers, and companies have worked on Virtual Assistance, but majorly in English.We built our learning assistant for Telugu language to help with teaching in the mother tongue, which is the most efficient way of learning 1 .Our system is built primarily based on Question Generation in Telugu.Many experiments were conducted on Question Generation in English in multiple ways.We have built the first hybrid machine learning and rule-based solution in Telugu, which proves efficient for short stories or short passages in children's books.Our work covers the fundamental question forms with question types: adjective, yes/no, adverb, verb, when, where, whose, quotative, and quantitative (how many/how much).We constructed rules for question generation using Part of Speech (POS) tags and Universal Dependency (UD) tags along with linguistic information of the surrounding relevant context of the word.Our system is primarily built on question generation in Telugu, and is also capable of evaluating the user's answers to the generated questions.
Connectivity difficulties in virtual classes

Nowadays Virtual Classes generate different problems and challenges for teachers and students, the objective of the research is to identify the several difficulties faced by students of the Faculty of Public Health at Escuela Superior Politecnica de Chimborazo. In which a descriptive cross-sectional study is applied. Where 566 random surveys are applied to students of the different careers in ages ranging between 18 and 26 years, which 62.5% of the participants correspond to women and 37.5 to men. 68.9% have a computer or laptop, 29.4% have a cell phone and 1.7% of the students have a Tablet and other devices where they receive virtual classes. 90.4% have internet access at home and 9.6% do not have internet access. Students strategies for the effective implementation of pedestrianization projects.
Conformal Mappings with SymPy: Towards Python-driven Analytical Modeling in Physics

This contribution shows how the symbolic computing Python library SymPy can be used to improve flow force modeling due to a Couette-type flow, i.e. a flow of viscous fluid in the region between two bodies, where one body is in tangential motion relative to the other.This motion imposes shear stresses on the fluid and leads to a corresponding fluid flow.The flow forces exerted on the moving component are of interest in many applications, for example in system simulations of electrohydraulic valves.There, an eccentrically mounted cylindrical core (the armature) moves within an oil-filled tube (the polecap), experiencing fluid forces due to the viscous oil.SymPy can help to understand the range of validity as well as the limitations of analytical relations that are commonly used as standard approximations for these type of forces in many leading system simulation tools.In order to motivate these approaches, this contribution elucidates how the velocity of the flow is determined analytically by solving the Stokes equation in an eccentric annulus with a conformal mappingapproach.Afterwards analytical postprocessing leads to the corresponding flow force.The results obtained with SymPy are then checked against full 3D computational fluid dynamics (CFD) simulations.This work concludes with the combination of new Couette flow force approximations and similar results for the known Poiseuille flow (i.e.fluid flow induced by a pressure difference) to derive new relations for a combined Couette-Poiseuille flow force.This article is addressed to natural scientists and engineers that are interested in the application of conformal mappings and Taylor-expansions with the help of SymPy when solving partial differential equations analytically.
Electricity Generated by Using Solar & Wind Energy

Now a day’s electricity become a most essential need of human beings, from household to industrial work. All the conventional energy resources are depleting day by day. So we have to shift from conventional to non-conventional energy resources to produce electricity. Renewable sources do not have any detrimental effect on the environment. Renewable energy sources i.e. energy generated from solar, wind, biomass, hydro power, geothermal and ocean resources are considered as a technological option for generating clean energy. But the energy generated from solar and wind is much less than the production by fossil fuels, however, electricity generation by utilizing PV cells and wind turbine increased rapidly in recent years. Solar panels are used for converting solar energy into electricity and wind turbines are used for converting wind energy into electricity. Solar-wind hybrid system is basically involves the integration of solar energy plant and a wind energy plant that will give continuous power. A during bad weather conditions the production can be shifted from one plant to other plant with the help of a microcontroller. A microcontroller ensures the optimum utilization of resources and it also increases the efficiency of the combined system as compared to the individual mode of generation. This hybrid solar-wind power generating system can be used for both industrial and domestic applications. So, the purpose of the project is to generate electricity without using non-renewable resources and without damaging the nature balance.
An Implicit Memory-Based Method for Supervised Pattern Recognition

How the human brain does recognition is still an open question. No physical or biological experiment can fully reveal this process. Psychological evidence is more about describing phenomena and laws than explaining the physiological processes behind them. The need for interpretability is well recognized. This paper proposes a new method for supervised pattern recognition based on the working pattern of implicit memory. The artificial neural network (ANN) is trained to simulate implicit memory. When an input vector is not in the training set, the ANN can treat the input as a “do not care” term. The ANN may output any value when the input is a “do not care” term since the training process needs to use as few neurons as possible. The trained ANN can be expressed as a function to design a pattern recognition algorithm. Using the Mixed National Institute of Standards and Technology database, the experiments show the efficiency of the pattern recognition method.
Pelatihan Microsoft Access Dalam Pembuatan Aplikasi Penjualan Barang Di SMK UISU Pematangsiantar

&#x0D; UISU Islamic Private Vocational School is one of the private vocational schools in Pematangsiantar city. In the curriculum, this vocational school teaches computer subjects as part of its vocational specifications. With advances in technology, almost everyone already has their own computer. So many schools began to make computer learning as one of the subjects or majors taught at the school. One example is making an application for selling goods. There are many benefits to be gained, if you can prepare financial statements. These benefits such as knowing information about product goods, stock of goods and the results of the sale of goods. Being one of the ingredients in making decisions to find out the results of selling goods based on hassle or reports, business actors will know how many products were sold in 1 period. Here the author volunteered to hold Microsoft Access Training in Making Goods Sales Applications for UISU Islamic Private High School students as a community service program.&#x0D;
HATE EMOJI IN FORENSIC LINGUISTICS EXPERTISE: PROBLEMS OF DECODING THE MEANING

The era of the "Network society" acquires a continuous transformation, constantly changing the emphasis of the ontological and ontic essence of human species homo ciberneticus. However, communication remains fundamental to human existence as a substratum of interpersonal understanding, with its intended consequent effect on the various spheres of the existential paradigm. Language, as the ousia of human consciousness and the process of humanization in general, is a true substance that encodes communicative acts, that in computer being attains a broader problem of decoding. That is why in our research, we explain one of the most popular types of digital communication today: verbal messages using the artificial language emoji and non-verbal texts just with the help of optical signs. The purpose of the article led to the derivation of a hypothetico-deductive theory of allowing emoji approval in forensic linguistics expertise. That theory we have approved in the probable court cases of Ukraine with an appeal to the emoji has already approved in forensic expertise in the global context. After selecting specific emoji from different forensic cases in Europe and the United States, we have implemented an experiment with the creation of an empirical construction: a mock text with the coded contexts using selected emoji. Respondents had to decode emoji based on individual perception and interpretation. The results of the experiment with its subsequent analytical processing demonstrated the possibility and necessity of involving emoji in forensic linguistics expertise as an iconographic or pictographic type, which is relevant to the specificity of global digitization and the organization of digital communication. Taking into account all the verification stages of the data obtained, we have nominated the selected emoji as hate emoji, which are capable of destroying the communicative act and which are a digital correlate of hate speech.
Determining The Factors of Employee’s Commitment and Loyalty in A Malaysian Internet-based Company

One of the main challenges faced by most organizations is to encourage their workers to dedicate themselves towards their organizations. Organizations realized that to reach its goals, it is very important for them to have a group of committed workforce who are highly efficent, motivated and loyal. With the current high competition between companies, employee’s loyalty is one of the factors that will determine the success of organizations as well as maintaining their competitiveness in the market through improved productivity. Thus, organizations are constantly finding ways in maintaining and retaining their employees, for example, by looking back at their compensation and benefits, management styles, working environment, job security, employee’s performance, employee’s satisfaction and career development. This study main objective was to investigate the impact of compensation and benefits, career development, management style and working environment towards employee’s commitment and loyalty in an organization. Using the data collected from 108 employees of an internet-based company in Malaysia and analyzed using SPSS Statistics, this study has established that all four factors have a critical impact on employee’s loyalty with the management style as the most influencing factor. It is hope that this study can provide a huge understanding on some of the factors that could influence employee’s loyalty in organizations and hence, preparing them to be a productive entity.
Need Analysis: Portable Web Server Development Kits for Teaching and Learning

A Portable server is the combination of popular web server software, namely Apache, MySQL, PHP and PhpMyAdmin. With a portable server, users can develop and display a developed website anywhere at any time as all web server configurations have been installed on the storage drive. Portable servers are ideal for displaying the offline version of the website anywhere when developing a website. Using a mobile server as well, users do not need hosting that requires complicated configuration and can be used to run tests before putting the website online. This study aims to obtain preliminary findings on building portable web server development kits for the teaching and learning process.
HEDGES USED IN DEBATE BETWEEN ELON MUSK AND JACK MA ABOUT ARTIFICIAL INTELLIGENCE

In reporting and explaining the result of a research, a researcher often uses hedges in their report. Hedges are words or phrases such as perhaps, may, can, and other words related to the degree of probability. Hedges as words or phrases make things fuzzy or less fuzzy and imply that the writers less committed to the certainty of referential information presented in their writings (Lakoff,1973). Hedges can also be found in the form of utterance. Most of well-known people in the world use hedges when delivering their ideas in order to minimize “threat-of-face” which hides beneath every act of communication. One of the example occurs in the debate between Elon Musk and Jack Ma in 2019 when they talked about Artificial Intelligence (AI) in many aspects of life. This research aims: (1) to identify the linguistics features of hedges occurs in the debate between Elon Musk and Jack Ma; and (2) to identify the function of hedges in the debate between Elon Musk and Jack Ma. The data used in this research was taken from the debate about Artificial Intelligence between Elon Musk and Jack Ma which collected by using documentation. This research method is using descriptive qualitative. It is found that most of the hedges used in the debate are in the form of modal auxiliary verbs as an effort to make the speakers less committed to the certainty of their statements, to safe them from ‘threat to face”, and to apply politeness.
Research and Analysis on the Application of Geometric Sketchpad in Senior High School Mathematics Teaching

信息技术的发展给教育教学带来了极大的便利,几何画板就是诸多技术中的一种,可以为教师提供一个比较普遍的数学或者物理教学背景,实现教育教学的高效化.该文就几何画板在高中数学教学中的运用展开探究与分析,为其更丰富地运用总结经验,旨在促进高中数学教学质量的提升.高中数学中有很多知识点都比较抽象,对很多数学老师来说,高中数学的教学难度比较大.
Performance evaluation of new blind OFDM signal recognition based on properties of the second-order statistics using universal software radio peripheral platform

&lt;div&gt;In the context of cognitive radio (CR) or various military and civilian applications, modulation recognition (MR) is one of the most popular technical processes in the field of communication system recognition, by which the modulation type of the unknown received signal can be identified automatically by estimating one or more parameters of the modulated signal. This paper presents the performance evaluation of the new proposed blind system recognition method using only a particular property of the second-order statistics of the orthogonal frequency division multiplexing (OFDM) modulated signal. The effectiveness of the proposed method is illustrated using the implementation on universal software radio peripheral (USRP) platform. A comparison with computer simulations using MATLAB software is also performed, emphasizing the good performances of the method while the results obtained are close. We show the efficiency and behavior of the proposed method in the context of wireless communication systems based on OFDM modulation (3GPP/LTE, WiMAX, DVBT-2K, IEEE 802.22-1K,IEEE 802.22-2K, IEEE 802.22-4K). The proposed method can detect OF DM signals among other digital signals in a systematic and intelligent way even with low SNR values (when approaching to SNR=-2dB, the decision criteria tends towards 0).&lt;/div&gt;
Analysis of University Students' Views and Usage Levels of Web 2.0 Tools in Terms of Various Variables

The aim of this study is to determine the university students' views on Web 2.0 tools and their level of use of Web 2.0 tools according to the variables of gender, Foreign Language Level, Computer usage level and frequency of access to the internet. The study group consists of 427 students who continue their studies at the Ahmet Kelesoglu Faculty of Education of Necmettin Erbakan University in the academic year 2019-2020. The data in the study was taken with a three-part tool. In the first section, demographic characteristics of the students who participated in the research were determined. In the second section, the frequencies of use of Web 2.0 technologies were asked. In the third section, students were asked about their skills in using Web 2.0 tools. Data were analyzed by statistical package programs. T-test and variance analysis were used to determine whether the students' views on Web 2.0 tools differ according to gender, foreign language level, computer usage level and frequency of access to the internet. The Scheffe test was used to determine which group the differentiation originated from. In terms of the frequency of use of Web 2.0, men are significantly different from women, those who have computers and those who are connected to the internet for 7 hours and more than others. In terms of Web 2.0 skill level, men are significantly different from women, those who have computers, those who have 7 hours and more internet connections, compared to others.
FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection

The objective of subtask 2 of SemEval-2021 Task 6 is to identify techniques used together with the span(s) of text covered by each technique.This paper describes the system and model we developed for the task.We first propose a pipeline system to identify spans, then to classify the technique in the input sequence.But it severely suffers from handling the overlapping in nested span.Then we propose to formulize the task as a question answering task by machine reading comprehension (MRC) framework which achieves a better result compared to the pipeline method.Moreover, data augmentation and loss design techniques are also explored to alleviate the problem of data sparsity and imbalance.Finally, we attain the 3 rd place in the final evaluation phase.
THE METHOD EXAMINING STUDENTS’ READINESS FOR SELF-EDUCATION

The article focuses on the importance of diagnostic tools studying students’ readiness to self-education. The available psychological-pedagogical scientific developments on this problem are analyzed. Today, the question of an effective method examining a person’s readiness for self-education remains open. A new method studying students’ readiness for self-education is presented. The theoretical basis for the proposed method is highlighted. The method included the task to imagine oneself in ten different situations that stimulate to model students’ professional self-educational activities. Certain indicators were determined that described the respondents’ readiness to self-education. In particular, the situation 1 verified the respondents’ awareness of the significance of self-education, the situation 2 assessed their need for self-education, the situation 3 assessed stability of the interests, the situation 4 assessed students’ systematic work to satisfy their &nbsp;cognitive interests, the situation 5 assessed students’ &nbsp;independence in finding answers to relevant issues, the situation 6 did their ability to set independently self-educational tasks, the situation 7 evaluated students’ initiative in searches for new information, its processing and use, the situation 8 did students’ persistence in obstacle overcoming for new experience mastering, their volitional efforts during self-education, the situation 9 revealed the respondents’ positive emotional background, satisfaction during self-education, emotional uplift because of acquired &nbsp;new knowledge, skills, meanings etc. as a result of self-education, the situation 10 assessed the effectiveness of students’ self-education acts. We describe how to analyse the results obtained with the presented method. The method validity is substantiated. The proposed method examining students’ readiness for self-education has good reliability and validity and can be applied in psychological-pedagogical practice at universities.
Denoising cosmic rays radio signal using Wavelets techniques

Estimating a signal embedded in noise requires taking advantage of any prior information about the signal and noise.Until recently, signal processing estimation was primarily Bayesian and linear.Non-linear smoothing algorithms existed in statistics, but these procedures were often ad-hoc and complex.Donoho and Johnstone proved that a simple thresholding algorithm on an appropriate basis could be a nearly optimal non-linear estimator [2].A radio signal induced from cosmic ray is very well described, for example, by the Daubechies [3] wavelets as a basis, allowing the thresholding to be as safe (or more) as a linear estimation.The best basis search or a pursuit algorithm may also improve the thresholding performance as it adapts the basis to the noisy data.This work presents the wavelets as a denoising technique for narrowband and gaussian background reduction in radio signals induced from cosmic rays, showing its efficiency in energy reconstruction.
Mobile Games for a house museum.

The paper discusses a formal didactic activity in a higher education context, which brought to the design, development, and testing of thirteen Location-Based Mobile Games (LBMGs) for the Bagatti Valsecchi House Museum. The activity involved BSc Design students in developing and testing interactive solutions aimed at reaching out to the "under 35" community of the museum with engaging and entertaining experiences. For this purpose, the stakeholder group of the museum experts was also involved in co-designing the solutions. On the one hand, this study focuses on the beneficial approach of involving Design students in the multiple roles of designer, player/visitor, and target audience. On the other hand, it looks at those aspects that may turn LBMGs into a means for engaging and entertaining museum visitors' experiences. We focus on four LBMGs (out of thirteen) that the museum selected to be tested with their younger community, highlighting those elements that emerged as particularly relevant for enhancing visitors' engagement and motivations. In this regard, three aspects stand out as the most impacting: (i) the benefits of a design approach based on the early involvement of both experts (the museum) and the target audience (students themselves); (ii) an intelligent orchestration of narratives and game mechanics, specifically designed to leverage the fascinating museum space, and (iii) the ability of such games to stimulate social engagement.
중국어 연동문의 한국어 번역연구

The semantic complexity of components in Chinese serial verb constructions makes it difficult to teach and hard to translate into Korean. This paper firstly pointed out various incorrect cases which were found in the Korean translation of Chinese serial verb constructions. Starting with this problematic consciousness, this paper broke away from the structuralism theory used in prior researches and introduced the concept of ‘transitivity degree’ from the functional grammar. According to the degree of transitivity, this paper divided serial verb constructions in Chinese into three types, which are basic serial verb constructions, ‘着’ serial verb constructions and serial motion verb constructions. When dealing with basic serial verb constructions, this paper subdivided it into three situations. The first situation is that the leading verb carries an object. The second situation is that the follow-up verb carries an object. The third situation is that both leading verb and follow-up verb carry an object. When dealing with serial motion verb constructions, this paper subdivided it into two situations. In the first situation, the leading verb in the construction is a motion verb. In the second situation, the follow-up verb in the construction is a motion verb. On the basis, this paper figured out the conceptual structure and drew the semantic map of Chinese serial verb constructions for the first time to show the syntactic characteristics and semantic connections of every component when translated into Korean. By presenting strategies of translating Chinese serial verb constructions into Korean, this paper provided useful materials to the researching and the teaching of both machine translation and artificial translation of Korean.