Reviewerly/exHarmony huggingface dataset:
Features of Indian paper currency and its validation

In this paper the different salient features of the old and new version of Indian paper currency notes have been studied and compared. The list of security features of Indian currencies have been mentioned and discussed. Various kinds of conventional methods that are used to detect authenticity and to recognize a note has been explained. It has been observed that each technique has its own objective and significance. There are many conventional tools that can be used to recognize different features of a note. To classify different techniques, the detection method comprises of two parts i.e., the first line detection method and the second line detection method. Physical dimensions of a paper note along with its thickness have pointed out a new parameter which is the diagonal of a genuine currency note that has been calculated to obtain a proposed standardization and each value differs from different denominations. The classification of different Indian banknotes giving emphasis on its characteristics, both salient and security features, dimensions and detection methods has been mentioned and briefly explained. For validation of the paper currencies two methods have been discussed emphasizing on fuzzy logic framework by taking into consideration a 3-point likert scale and another validation methodology using digital image processing
Correlation between Photovoltaic Energy Production and Certain Climate Parameters: Case Study in the Plateau Department in Southern Benin

The Plateau department, where the first 25 MWp grid-connected solar plant was installed, is also an industrial cement zone, with high-energy demand, located in the south of Benin. In this region, the equatorial climate oscillated between two dry and two rainy seasons, with a high relative humidity. This climate variability influences the electrical output of photovoltaic (PV) modules. The analysis of the impact of climatic parameters such as relative humidity, precipitation, wind speed, ambient temperature, sunshine, on the photovoltaic production becomes necessary to optimize the energy generation in such a region. The objective of this study is to quantify the dependency relationship that exists between the variability of these parameters and the PV power generation using Pearson correlation method. The daily data collected for each parameter during the period from January 2011 to December 2020 were processed with Python 3.7.10 language. The results showed that relative humidity, with an average value of 80.14%, is the climatic has the highest negative impact (correlation coefficient of -0.42) on the performance of PV modules. Thus, the design and operation of a PV plant in this area should consider this parameter, especially with dust deposits, to improve the production yield.
Pengaruh Model Discovery Learning Menggunakan Google Classroom Terhadap Hasil Belajar Fisika Di SMA Dharma Pancasila Medan

Penelitian ini bertujuan untuk mengetahui pengaruh model discovery learning menggunakan google classroom terhadap hasil belajar fisika siswa. Jenis penelitian ini adalah quasi experiment dan desain penelitian two group pretest-posttest design. Populasi dalam penelitian ini adalah seluruh siswa kelas X SMA Dharma Pancasila Medan T.A 2021/2022. Pengambilan sampel penelitian ini dilakukan secara acak menggunakan 2 kelas, yaitu kelas X MIA 1 kelas eksperimen dan kelas X MIA 2 kelas kontrol. Instrumen yang digunakan tes pilihan berganda dengan jumlah 20 soal. Uji hipotesis yang digunakan adalah uji t. Nilai rata-rata pretest kelas eksperimen dan kelas kontrol masing-masing 34,19 dan 31.93. Berdasarkan uji t dua pihak thitung=0,7609 dan ttabel=2,000,(thitung &lt; ttabel),kemampuan awal kedua sampel sama. Nilai rata-rata postest kelas ekperimen dan kelas kontrol masing-masing 76,93 dan 66,12. Hasil analisis uji t satu pihak thitung = 4,28 dan ttabel = 1,671,(thitung &gt; ttabel). Bahwasanya model disovery learning menggunakan google classroom berpengaruh terhadap hasil belajar. This study aims to determine the effect of the discovery learning model using google classroom on student physics learning outcomes. This type of research is a quasi-experimental research design and a two-group pretest-posttest design. The population in this study were all students of class X SMA Dharma Pancasila Medan T.A 2021/2022. The sampling of this research was conducted randomly using 2 classes, namely class X MIA 1 experimental class and class X MIA 2 control class. The instrument used was a multiple choice test with a total of 20 questions. The hypothesis test used is the t test. The average value of the pretest of the experimental class and the control class were 34.19 and 31.93, respectively. Based on the two-party t-test, tcount=0.7609 and ttable=2,000,(tcount &lt; ttable), the initial abilities of the two samples were the same. The average posttest scores for the experimental class and the control class were 76.93 and 66.12, respectively. The results of the one-party t-test analysis tcount = 4.28 and ttable = 1.671, (tcount &gt; ttable). That the discovery learning model using google classroom has an effect on learning outcomes.
Social Networking Tools for Library Services

Social Networking is used for various purposes of library facilities, connectivity, and services.In the present scenario, Social media is more popular than libraries.People can share their information, ideas, and experiences with the help of social networking.The paper describes the different types of social networking sites using by the libraries, like Facebook, Twitter, and Linked In, etc.A social networking site became the basic need of the people and plays a vital role to provide information easily.Social networking is the only technology by which libraries can reach to its new users.The paper also discusses some of the advantages of using social networking.
Textual Similarity Patterns and Citation Style Errors in Literature Review Chapters of LIS Theses of South Indian Universities: A Study

This study investigated the PhD students' writing styles of the Reviews of Literature chapter in the theses submitted at southern Indian universities.
The Relationship of Knowledge and Attitudes of Traders with Traditional Market Sanitation Hygiene

Hygiene sanitation of the traditional market environment with conditions of ignorance of market traders must be clean from garbage, dirt in trading facilities and around the market and do not use personal protective equipment, various public health problems can occur if traders do not know and are not aware to maintain the cleanliness of market environment sanitation. The purpose of this study was to determine the relationship between knowledge and attitudes of traders with hygiene, sanitation, environment, traditional markets in Kota Fajar Village, North Kluert District, South Aceh Regency. Type of quantitative research with Cross Sectional design. The study was conducted on June 5-18, 2022 with a sample of 74 traders using a simple Random Sampling technique Data collection using questionnaires. Data analysis using univariate and bivariate analysis with chi-square test. The level of knowledge of market traders in maintaining the sanitary hygiene of the market environment was partly obtained by the results that 11 respondents 64.7% had poor knowledge with poor sanitary hygiene. Negative attitudes of 13 respondents 17.6% with poor sanitary hygiene . Based on statistical tests using chi-square, there is a relationship between the knowledge (P value 0.000) and attitude (P value 0.000) of market traders by maintaining the sanitary hygiene of the traditional market environment. It is expected that market traders will know and be aware of maintaining the cleanliness of facilities including personal protective equipment
Handwritten Digit Recognition Using Deep Learning

In order to meet the needs of paperless offices and greatly improve word efficiency, it is necessary to research and implement a handwritten digit recognition system.Handwritten digit recognition plays and important role in largescale data statistics and the financial business, such as industry annual inspection, population census, tax statements and checks, etc.This project proposes a new type of handwritten digit recognition system based on convolutional neural network (CNN).In order to improve the recognition performance, the network was trained with a large number of standardized pictures to automatically learn the spatial characteristics of handwritten digits.For model training, according to the loss function, the convolutional neural continuously updates the network parameters with the data set in MNIST, which contains 60,000 examples.For model test, the system uses the camera to capture the pictures composed of the images generated by the test data set of MNIST and the samples written by different people, then continuously processes the captured graphics and refreshes the output every 0.5 seconds.With the trained deep learning model, we got a recognition accuracy of 99.3% in test process.Good performance in this experiment shows that our system can automatically recognize the handwritten digital content appearing in the target area and output the content label in real time.
Envisioning Digital Transformation in Libraries for NextGen Academic Landscape

The INFLIBNET Centre organizes the CALIBER in different parts of India in collaboration with universities/institutions. The International CALIBER 2022 which is 13th in the series of the conventions is being organized in collaboration with Sayaji Rao Gaekwad Library, Banaras Hindu University, Varanasi, Uttar Pradesh during November 17-19, 2022 at Varanasi. The theme of the Convention was conceptualized in view of the National Education Policy (NEP) 2020 and the role of the library professionals and institution in successful implementation of the NEP 2020 and achieve the goals of NEP which aims to increase the GER in Higher Education through implementation of modern technology. With the NEP 2020 in mind, the convention invited papers on broad sub themes: Inceptive Approach of Libraries for National Education Policy (NEP 2020); Emerging Technologies and Trends in Libraries; Open Science and Open Library. The CALIBER 2022 invited full-text papers on various themes and 52 full-text papers were presented during the convention from which 45 submissions were published as book chapters and seven papers are being published in this issue of the journal.
Research Data Curation in Academic Institutions Challenges &amp; Expectations

In the activity of Research Data Curation, the unpublished datasets generated during research are curated for possible reuse in future research by any researcher. Use of curated data, in several cases, may become helpful in avoiding repetition of efforts involved in generation of datasets. A large number of academic institutions in India are actively involved in research in various knowledge areas. Apart from the doctoral and post-doctoral research in academic institutions, academicians are involved in research projects sponsored by public or private bodies; thereby generating sizeable primary and secondary unpublished datasets worthy of curation in a data repository for possible reuse in some other research. For several reasons, curation efforts for research datasets in academic institutions in the country are negligible when compared to such efforts in research institutions. The present work makes an attempt to identify the cause of negligible research data curation efforts in academic institutions of India by uncovering the associated challenges and discusses the expectations from a Research Data Repository of academic institutions.
Use of Artificial Intelligence (AI) Technology Futures in Library

AI technology is rapidly transforming the way libraries operate and serve their patrons. Artificial intelligence (AI)applications in education and research are becoming more and more significant.Products are improved, Patrons behavior is predicted, inventory is tracked, and big data is analyzing using AI.Moreover, AI agents are used to enhance the functionality of mobile devices and search engines.Data analysis, remote access to library resources, and turning the library into a hub for Big Data research are just a few of the ways AI is being examined for uses in libraries.AI is also being used to improve accessibility for users with disabilities.For example, some libraries are using AI-powered text-to-speech software to provide audio versions of books and other resources for visually impaired users.AI has the potential to carry out routine chores that currently need a human person, freeing up librarians to provide the in-depth expertise required for advanced research.
Barriers Faced by Youth in Seeking Cultural Heritage Information

Knowing barriers to information seeking is imperative as it regulates the degree to which individuals can access different sources. The aim of this study is to examine the barriers faced while seeking cultural heritage information. A survey-based questionnaire was used to collect data from the state of Manipur, India. The study employs stratified random sampling techniques and a sample of 400 respondents participated in this study. A structured questionnaire was used to collect data for the study. Before analyzing the data validity and reliability test was carried out. SPSS version 20 was used for data analysis. An independent samples t-test and analysis of variance (ANOVA) was administered to determine significant difference between demographic variables and study variables. The mean analysis revealed, “information is not readily available” with a mean score=3.59 is the most vital barriers. 12 studied variables were subjected to factor analysis and generated three factors, i.e. independent, administrative and management barriers. Statistical analysis revealed that gender difference plays a significant role in dissimilarity in seeking CHI with an individual barrier; with p=0.050, female respondents have a higher difference with a mean score = 3.4289.
An Electronic Voting System Using FingerPrint Authentication

The electronic voting machine verifies voters using finger print scanners.A voting system that uses fingerprint identification eliminates the requirement for the user to carry an ID that provides the necessary information.Web-based system enables voter to cast their votes from anywhere in the world.Online website has a prevented IP address generated by the government of India for election purpose.People should register the name and address in the website.Election commission will collect the fingerprint and face image from the voters.The database or server will store the images., keeping track of voter decisions is not a difficult task, however, in situations where there are hundreds of thousands of voters, keeping a precise record of voter decisions becomes important and more difficult.The advancements in blockchain technology provide a potential solution to the record-keeping problem of contemporary voting procedures, as blockchain technology by design, excels in applications where multiple users are working on immutable data.this project provides the best solution to avoid false voting.The electronic voting machine was connected with the computer.The computer is having the full database list of the peoples who are having the eligibility to vote.For each polling, the corresponding person identity was deleted.So it avoids false voting.A touch screen is used, so it is user-friendly.
An Internet of Things (IoT) Application for Predicting the Quantity of Future Heart Attack Patients

Now days the heart disease is the leading cause of death worldwide.It is a complex task to predict the heart attack fora medical practitioner since it is required more experience and knowledge.However, heart rate monitoring is the most important scale of measurement that is the influence factor for heart attack with other health fitness like blood pressure,serum cholesterol and level of blood sugar.In the era of rapid revolution of Internet of things (IoT), the sensors for monitoring heart rate are growing in availability to patients.In this paper, I explained the architecture for heart rate and other data monitoring technique and I also explained how to use a machine learning technique like kNN classification algorithm to predict the heart attack by using the collected heart rate data and other health related perimeter.
Application of Apriori Algorithm to Determine Sales of Traditional Foods

Competition in the food sales industry is growing, making business owners have to be creative to increase sales turnover. Sales activities that occur every day make sales data increase. Researchers intend to make data on Traditional Restaurant as the basis for data mining processing on food sales using the apriori algorithm. The application of the Apriori Algorithm aims to find the most item combinations based on transaction data and then form association patterns from combinations of items. Association patterns are formed with a minimum support value of 10% and a minimum confidence value of 40% which results in 3 association rules and the most sold food products are Krupuk Bangka and Karedok with a support value of 0.105% and a confidence value of 0.583%
The Implementation of a Learning Management System for Improving Teacher Knowledge and Skills in MTs. Teladan Medan

The implementation of community service (PKM) aims to improve teachers' ability to teach by applying the website-based learning management system (LMS) application at MTs. Teladan Medan is the location of the dedication that has been done. The application that had been developed was a contribution to PKM partners to helped the school conduct learned management, especially in implementing online learned. PKM activities were carried out through several activities, namely: socialization, training, and assistance in the used of the website-based learned management system (LMS) application that had been developed for several 16 teachers. The instruments used in the form of questionnaires, pretests, and posttests were distributed before and after the training. Based on the results of the activities carried out, there was an increase in teacher knowledge about integrated learning technology using the learning management system application, with a score of 75.65%, and an increase in teacher skills in using or applying the learning management system application, with a score of 80.47%.
Generic Question Classification for Dialogue Systems

We present in this paper a new classification approach for identifying questions during human-machine interactions and more specifically in dialogue systems. The difficulty in this task is first to be domainindependent, reusable whatever the dialogue application and second to be capable of a real time processing, in order to fit with the needs of reactivity in dialogue systems. The task is then different than that of question classification usually addressed in question-answering systems. We propose in this paper a hierarchical classifier in two steps, filtering first question/no-question utterances and second the type of the question. Our method reaches a f-score of 98% for the first step and 97% for the second one, representing the state of the art for this task.
The Perspective Reviews: Relations of Language and Culture in English Language Teaching (ELT)

This research is a literature study with descriptive qualitative research. Thus, this research used the Library Research Method, that research carried out using literature, either in the form of books, notes, or research reports from previous studies. In this literature study, the authors used various written sources such as articles, journals, and other relevant sources. The main source used by the author as the object of this research is an article entitled Language and Culture: research methods and approaches used in the multidisciplinary field of applied language, written by Claire Kramsch. Based on the analysis conducted by researchers, it can be concluded that culture is the inherited and innate set of ideas, attitudes, beliefs, values, and knowledge that is the general basis of social behavior.
Teaching Recount Writing Skill Based on Moral Value

Moral values are defined as guidelines that assist a person in deciding between right and wrong. In order to create honest, credible, and fair judgments and relationships in daily life. This study aims to analyze how to improve the recount writing skill students of SMP Negeri 7 Alla and explore the way of teaching recount writing skill based on the moral values of Domestic Enrekang culture at SMP Negeri 7 Alla. This research was conducted teaching recount writing skill to the eighth grade student of SMP Negeri 7 Alla. This type of research is a Classroom Action Research (CAR) and the data is collected by test and observation. The researcher implementation procedure of CAR started with situation analysis, action planning, action implementation, reflection, and evaluation of the impact of the action. The finding showed that the mean score every cycle has increased. In pre-cycle, the students gain mean score 56.6. it showed that the ability of students in writing recount was poor. In the cycle I, the student gain mean score 65.5. it showed that there was progress of student ability in cycle I. In cycle II, the student got mean score 73.2. It showed that Cycle II greater that Pre-cycle and cycle I. it also prove that students have high progress in recount writing.&#x0D; Keywords: moral value, teaching, recount text, writing.
Reward Found in Synchronous Teaching English at SMA Muhammadiyah Malang

To increase teaching learning better, it is needed the students’ involvement in the process of education through giving motivation as the students are lack of confident, afraid to make mistake and shy to communicate in English. The aims of this article are to elaborate rewards and its type found in Synchronous and Asynchronous Teaching English At SMA Muhammadiyah 1 Malang. This research was applied qualitative design as it was to dig out the research problems as the rewards and its kind in teaching English at SMA Muhammadiyah I Malang. The research subjects are two English teachers in SMA Muhammadiyah I Malang while to get data was used focus group discussion and observation. Based on FGD and observation, it was found Good, OK, Amazing, Best answer, Nice answer, Good answer, Best, Excellent, Try again, Nice try, Giving thumb, Giving two thumbs, Giving applause, Smiling, Clapping the shoulder of the students, Money, Book or novel, Score whereas the type found are compliment, gesture, present and combining compliment and gesture and also double compliment as well as double compliment and gesture.&#x0D;
Formalising Legal Relations

This chapter concerns arbitrary relations in law and extends beyond concrete types of legal relations. There is no established ontology of relations in the legal domain, although ontologies of legal concepts are discussed in literature. Different legal terms, such as duty, contract, debt, husband, etc. can be viewed as relations. However, on the meta-level, there is no model of relation types in law.
Study on the Blended Teaching Mode in English Pedagogy

“English Curriculum Standards for Compulsory Education (2022 Edition)” puts forward new requirements for English teaching in compulsory education, which makes the training of English major normal students challenging. With the wide application of the online and offline blended teaching mode, its role in the teaching of the course “English Pedagogy” is prominent. In the process of constructing the “2+3+2” model (that is, two major sections of theoretical courses and practical courses + three links of pre-class, afterclass teaching + online and offline methods), the subject teaching team of Kashi University solved the problems existing in teaching the course “English Pedagogy”, such as, insufficient class hours, students’ insufficient language ability, insufficient integration of theory and practice, and untimely and unscientific teaching evaluation. And the attempt of constructing this model provides a reference for the application of the blended teaching mode to various courses.