Reviewerly/exHarmony huggingface dataset:
Phonotactics and Syllable structure of Balochi Language: A case of Makurani dialect

As far as phonology is concerned, it is the study of sound system of a specific language like the sounds which form the phonemic inventory of a specific language. Further, phonologists are concerned with the formation of cluster and the position of sounds in a syllable, they define how some sounds are possible and others impossible in a syllable structure, this is known as phonotactics. Phonologists discover such constraints and, on the basis, they differentiate the syllable structure of one language from others. This research was aimed at exploring the syllable structures of Makurani dialect of Balochi language. In this case, the data was collected through a word list. The word list was prepared by the researcher with the help of the language speakers. In order to know the possible syllable structures, the participants were given the word list and were asked to pronounce them. Simultaneously, the data was tape-recorded and the words were syllabified in phonetic transcription. Moreover, another interesting feature of the dialect was that its phonotactic constraints do not allow /h/ as an onset phoneme. Therefore, the speakers were observed to have left the phoneme unpronounced.
Quantum digital signatures with smaller public keys

We introduce a variant of quantum signatures in which nonbinary symbols are signed instead of bits. The public keys are fingerprinting states, just as in the scheme of Gottesman and Chuang \cite{GC2001}, but we allow for multiple ways to reveal the private key partially. The effect of this modification is a reduction of the number of qubits expended per message bit. Asymptotically the expenditure becomes as low as one qubit per message bit. We give a security proof, and we present numerical results that show how the improvement in public key size depends on the message length.
Quality Augmentation of Metrics in Video Codec with Noise Removal and Discriminant Analysis

Video compression is a technique for removing redundancy of data that helps in efficient storage and transmission of video which is essential for video streaming in current scenario. Many codecs and standards are available for video compression but the complexity that arises during encoding, decoding of video should be reduced for better performance. Methodology proposed here applies a machine learning technique to reduce the complexity along with a pre-processing method of noise removal on the frames. The choice in size of blocks during partitioning for frame prediction depends on a discriminant analysis classifier. Commonly used metrics like Peak Signal Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Compression ratio, encoding time were analysed to check the image quality. Experimental results illustrate that splitting the blocks using the classifier can give time reduction by 32.68% with QCIF sequences and with no comprise in image quality.
Knowledge Organization Model Construction and Application of Oral Archives Based on Knowledge Graph

Oral archives are not only records of social history, but also the valuable resources in digital humanities research. With the development of digitalization of archives, the traditional coarse-grained organization methods are not conducive enough to the mining and development of archives knowledge. Hence, based on the knowledge graph, combining automatic extraction methods and expert review, the research constructs the knowledge organization model of oral archives. Firstly, the research constructs the ontology of oral archives based on protege, which includes 6 core concepts, 20 sub-class concepts and 32 concept properties. Besides, taking the oral archive database Hong Kong Voices as an example, extracting the knowledge units of oral archives, the ontology model is applied to instantiate the knowledge graph of oral archives. Finally, based on the oral archives knowledge graph, analyze the application scenarios of the knowledge organization model. The research focuses on features of oral archives and apply knowledge graph construction on archive work, so as to optimize the archives knowledge organization method and the development of archives knowledge services in the times of digital humanities. Key words : Oral archives, Knowledge organization, Knowledge graph, Digital humanities
IMPLEMENTASI PEMBELAJARAN BERBASIS PROYEK KELAS IV DI SD NEGERI 2 KAMPUNG BARU BANDAR LAMPUNG

Curriculum 2013 in elementary schools was implemented with thematic learning, but the teacher for fourth grade in SD Negeri 2 Kampung Baru had not yet maximized learning with a scientific approach. The aim of this research was to analyze the effect of the implementation of project-based learning on the thematic learning outcomes of grade IV SD Negeri 2 Kampung Baru Bandar Lampung. This research used a quasi-pretest-posttest design experimental group. The population of the students was 65 students, the sample was determined by random sampling techniques amounted to 25 students. The data was collected by multiple choice tests with total 20 questions. Based on the test, the data was obtained by t = 12.849 (consulted with table t) db = N-1 = 25 -1 = 24 with t table (α = 0.05) = 1.711, because t hit ≥  t tabel  or 12.849 is bigger than 1,711, there is an influence after doing the project based learning (PjBL). There is a significant difference between the results of the pretest and posttest learned through the project based learning model. The posttest average was 82% higher than the pretest average of 59%. This shows that there is a percentage of enhancement 23% . Keyword s : Project Based Learning, Thematic Learning, Scientific Approach, Elemantary School
A Study on the Perceptions of Networkings in Elementary Care Services Institutions of Community Child Centers Workers -Focusing on Community Child Center Worker in Gyeongsangnam-do

본 연구는 지역아동센터 종사자들을 대상으로 초등돌봄서비스기관 간 연계관련 인식을 살펴보고 이들의 연계필요성 인식에 영향을 미치는 요인을 파악하고자 하였으며, 이를 위해 경상남도 내 지역아동센터 종사자 118명의 자료를 분석하였다. 연구결과 초등돌봄서비스기관 간 연계의 필요성은 인식하고 있었으나 실제 연계는 원활히 이루어지지 않는 것으로 조사되었다. 바람직한 연계방안으로는 컨트롤타워 기관이 아동관리를 담당하고 돌봄협의체가 프로그램, 전문인력을 관리하는 연계인프라를 구축하며 초등돌봄서비스기관 간 기능이나 서비스 내용으로 역할분담하는 것을 선호하였다. 연계필요성 인식에 영향을 미치는 요인은 연령, 직원 수, 업무자율성, 자원필요성 인식, 연계 후 성공경험 등으로 조사되었다. 따라서 컨트롤타워 기관이 아동정보를 통합관리하여 적절한 초등돌봄서비스기관에 배치하고 돌봄협의체 중심으로 권역별 네트워크를 구축하여 초등돌봄서비스기관 간 상호교류의 기회 및 연계서비스를 제공하고 이에 대한 성공경험을 갖도록 하는 것이 필요할 것이다.The purpose of this study was to examine the Community Child Center worker’s perceptions on network among elementary care service institutions and to identify the factors that influence their necessity for networking. Structured questionnaires were mailed to 118 workers in community child centers in the Kyungnam area. As a result of the study, although the necessity of networking was recognized, the actual networking frequency was relatively low. The desirable networking plan looks like the control tower institution in charge of child management, the care council establishing a networking infrastructure that manages programs and professional manpower, and that roles divided into functions or service contents among elementary care service institutions. Factors influencing the recognition of need for networking were summed up to age, number of employees, autonomy of work, recognition of need for resources, and success experience after networking. Therefore, the control tower institution can integrate and manage child information and place it in appropriate elementary care service institutions, and establish a regional network centered on the care council to provide opportunities for mutual exchange and networking services between elementary care service institutions, and to have success experiences.
Literasi Masyarakat dan Pengentasan Buta Aksara: Kebijakan Pemerintah dalam Merealisasikan SDGs Quality Education di Kabupaten Sumenep

The alleviation of illiteracy in Indonesia has been performed by the central government through the district government policy. In this study will be performed a research about the alleviation of illiteracy in Sumenep district by using paradigm of SDGs (Sustainable Development Goals) in quality educational aspect and skill life education. This research uses descriptive-qualitative method in collecting and analyzing the data about the alleviation of illiteracy policy that is applied by government in Sumenep district. The Sumenep district government policy becomes a basic part in advancing the society, includes the policy in education aspect. One of the Sumenep district’s policies in education aspect includes an initiation in convincing the society through the alleviation of illiteracy for poor people. This research gets a conclusion that alleviation of illiteracy was performed by Sumenep district government in order the people get the quality education for their development in literary aspect (reading and writing) and to support their future that is faced to the technology world more advanced and more advanced, this becomes an indicator of prevailed policy.
The Effect of Emotional Intelligence Education on the Prevention of Adolescent Delinquency in Indonesia

Objective: The research objective was to determine the differences in the emotional intelligence level of vocational school (VHS) students before and after being given education on adolescent delinquency prevention in Gowa, South Sulawesi Province, and Gorontalo, Gorontalo Province. Method: Pre Experiment research method with Two Group Pre Test and Post Test Control Design. Sampling with purposive sampling with a total number of respondents 110 people. Data collection used a questionnaire to measure emotional intelligence and identify the form of adolescent delinquency using a Likert scale, data analysis using Wilcoxon analysis to see the level of emotional intelligence before education, and Mann-Whitney analysis test, after education. Result: The results showed that there were differences before and after education in VHS Gowa students, but there was no difference in emotional intelligence before and after education on VHS Gorontalo students, there was no difference in Emotional Intelligence between the intervention and control groups before and after education and there was no difference. student delinquency both in the intervention group and control group before and after emotional intelligence education. Conclusion: The recommendations that can be given are the importance of parental supervision of students, especially in choosing friends to do activities outside the home, and cross-sectoral cooperation is needed in promotive and preventive efforts supervision and control of all forms of adolescent or student delinquency.
virtual classroom system

Virtual Classroom System is an online classroom in which we have provided the feature of online learning and students can give exams on that platform.
Career Growth, Career Concern, Organizational Commitment and Turnover Intention in Universities of Jordan

The study examines the impact of career concern and career growth on turnover intention and organization commitment, besides the moderation impact of career concern. This particular study's research framework has career concern and career growth as independent variables that have a direct impact on turnover intention and indirect impact through an organizational commitment to turnover intention. Besides, career concern is a moderator to the relationship between organizational commitment and turnover intention. The population of the study is any academic employee who is working in public universities of Jordan. Based on different sources, the number of Universities is around 10. An estimation of the academic workforce working in those Universities is 2500 employees. The actual sample size is 288 employees. The distributed survey is 370, distributed by using face-to-face data collection methods in a convenient sample selection technique in 2019. Overall, results show that the Turnover Intention (TI) model has a satisfactory predictive power and a medium predictive relevance (power of 42.3%, and relevance of 31.7%). Organizational commitment (OC) illustrates a satisfactory predictive power and a medium predictive relevance (power of 36.4%., and relevance of 25.9%). For the predictors of turnover intention, the two antecedent variables have significant relationships, and the ascending rank of the variables based on the path coefficient value is career growth (0.424) and career concern (0.198). Career concern has no significant impact on organizational commitment, but it has a significant relationship to the organizational commitment with a path coefficient of 0.377. Organizational commitment has a partly mediation impact on the relationship from the career growth but has no mediation impact for the relationship from career concern. Career concerns have no moderating effect on the proposed relationship.
Penerapan Algoritma K-Means Clustering untuk Melihat Hubungan Kegiatan Tahfiz dengan Hasil Belajar

The purpose of this study is to evaluate whether Tahfiz activities and learning outcomes are effective or not. The data processed in this study were data on tahfiz activities and data on student learning outcomes in class XI (eleven) totaling 42 data sourced from memorization of tahfiz, tahfiz grades, and student grades in Madrasah Aliyah Negeri 1 Bukittinggi. Based on the analysis of the data, this classification uses one of the methods of the Data Mining algorithm, K-Means Clustering. K-Means Clustering algorithm works based on the grouping method, In this data mining technique consists of data testing and training data with the input of the number of memorization of tahfiz, and the value of tahfiz as well as learning outcomes. The results of this study the school can determine how influential this activity tahfiz on student grades.
Every Possible Use of Language

This essay, written for a forthcoming Oxford University Press volume edited by Geoffrey Stone and Lee Bollinger, probes Oliver Wendell Holmes’s almost offhand statement in Frohwerk v. United States, 249 U.S. 204 (1919), that “the First Amendment... cannot have been intended... to give immunity for every possible use of language.” Although Holmes may not have seen the difference between this conclusion and the clear and present danger idea he offered contemporaneously in Schenck v. United States and Debs v. United States, in fact it may be the first hint of the now-important distinction between the coverage of the First Amendment and the protection it offers for covered speech. In observing that the First Amendment does not even apply to a vast range of linguistic behavior, Holmes provides the opportunity not only to recover Frohwerk’s importance in the pantheon of 1919 free speech cases, but also to explore the continuing relevance and importance of understanding that much – perhaps even most – linguistic behavior does not implicate the First Amendment at all, and thus does not trigger any form of heightened scrutiny.
OVERCOMING DIFFICULTIES IN TEACHING ENGLISH AS A SECOND LANGUAGE TO ADULTS, MULTILINGUAL SETTINGS AND TEACHING TECHNIQUES

All living creatures have some means of conveying information to others of their own group, communication being ultimately essential for their survival. Some use vocal noises, others physical movement or facial expression. Many employ a variety of methods. Birds use predominantly vocal signals, but also show their intentions by body movements; animals use vocal noises as well as facial expressions like the baring of teeth; insects use body movements, the most famous of which are the various ‘dances’ of the bees.
Banking Chatbot (B-Bot

Chatbots square measure intelligent systems that perceive a user's tongue queries and respond consequently during a conversation, that is the focus of this study. It's an additional sort of a virtual assistant, folks want they're talking with a real person. They speak a constant language we have a tendency to do, and will answer all queries. In banks, at customer care centers and enquiry desks, humans are lean and usually take very long time to method the only request which ends up in wastage of your time and additionally cut back quality of client service. In this paper we introduce a more efficient way to resolve customer queries. Today’s customers have high expectations and they want quick and accurate responses, complete and robust resolution, service that is available anywhere and anytime. All of these can be within well-designed chatbots. The entire experience is conversational. The aim is to implement a chatbot which may resolve client queries, search the knowledgebase for resolution and provide the solution. The chatbot can handle the queries ultimately reducing human effort.
Analysis of the parameters of a solar tracker system, based on movements of a power generation system

Dual-axis mobile photovoltaic systems are the best option to make the most of solar energy, and it is necessary to use tools to make a detailed analysis of these systems, the objective of this study is the analysis of parameters of a solar system of two axes, based on the positions, on the voltage generation, and its relationship with the climatic conditions. Two systems are analyzed in Simulink, which allowed to study of the impact of the movements of a two-axis system and simulates how energy was generated in a solar panel, for which mathematical models were considered based on inductance, capacitance, and power. and solar radiation. In addition, a 2-axis mobile solar panel prototype was designed, with which real values were obtained about the resulting power and voltage in order to compare them with a power generation system to which average solar radiation and temperature were assigned. It is concluded that this type of panel allows to maximize the collection of solar energy, and these can be an alternative in mobile scenarios where the movement of the sun affects its performance.
Ultra Short Term Load Forecasting Based on Optimized Weight Cubature Kalman Filter and Support Vector Machine Combination Model

In this paper, a combined ultra short term load forecasting model is proposed to solve the problem of less feature dimension and unclear relationship in ultra short term load forecasting for industrial power users. The model combines the cubature Kalman filter (CKF) prediction method which is better in nonlinear dynamic system and the least squares support vector machine (LS-SVM) prediction method which is better in small-scale data prediction. It combines the advantages of the two algorithms by using the combination of grey neural network, and avoids a single algorithm falling into local optimum. It combines horizontal prediction with vertical prediction Finally, the combination model is better than the single prediction.
Asset Management System Application on PT Fineks Utama Based on Web

Along with the development of Information Technology which is growing rapidly and its wide application to business aspects or fields, information technology has also been widely used by industries or other organizations. Its utilization aims to facilitate users and provide efficiency in a business field in carrying out its activities. Of the many assets currently in the company and the fast transfer of assets from one branch to another, it requires us to optimally be able to carry out a good and clear traceability process. So that existing assets remain well monitored. From the facts, many companies or offices still carry out recording company assets manually using paper or books using the manual logbook method which will result in all asset transactions being recorded in the logbook manually, starting from receipt of asset purchases, asset transfer, depreciation. assets and also asset sales. From these problems, the researcher proposes research as an alternative solution in the form of a web system application building design to replace the function of notebook assets or what is called the Asset Management System Application using a Structured, Design Method, PHP and MYSQL-based approach with website-based application development. The results achieved are expected to be able to improve efficiency and existing rights in managing company assets quickly when managed, the results of this study can also help companies record the depreciation process for their assets, record new assets purchased, manage new and old assets, and the history of asset transfers from one user to another and from one place to another.
Changing Challenges into Opportunities in Higher Education System during COVID-19 through Digital Education

COVID-19 pandemic have significantly disrupted the educational process and systems across the globe. This paper reviews research work on experience with D-learning in developed and developing regions. Additionally, sociological theory and perspective have been applied to the situation. It is suggested through application of sociological theory that challenges can turned into opportunities in context of D-learning.
Sistem Pendukung Keputusan untuk Menentukan Praja Terbaik Menggunakan Metode Simple Additive Weighting

The Institute of Domestic Administration (IPDN) of the West Sumatra Campus is a tertiary institution attended by students from all over Indonesia. This activity is a mandatory activity for all cadets and must be followed every semester. Values ​​determine the graduation of a cadet in his education. For this reason, a good system is needed in determining the value. This study aims to find effective and appropriate values ​​in each service. The method used is Simple Additive Weighting for data that determine ranking. The results of this study have an accuracy of 85% of the ranking data manually to the test data. Thus, this system is more effective in the search process and ranking accuracy. Then this research is a system that can be used as a reference in ranking the best value of welfare.
EXAMINING THE EFFECT OF A SOCIAL EMOTIONAL LEARNING FRAMEWORK AT A HISPANIC-MAJORITY MIDDLE SCHOOL

Social-Emotional Learning (SEL) is the zeitgeist for educational leaders in the contemporary world. Studies have determined that when implemented with fidelity, SEL skills aid school leaders in enhancing cooperation, reducing violence, and aid students in building their problem-solving skills, thus boosting academic achievement as a whole, while indirectly creating educational equity in Hispanic-majority schools. This action research study analyzed both qualitative and quantitative data to determine the effectivenessof a social-emotional framework in a Hispanic-majority school. This study concluded that school culture and a focus on SEL plays a significant role in the development and success of students. Futhermore, this study concluded that as teachers expand their knowledge on SEL, they are better able to implement SEL strategies to boost student engagement and academic achievement while combating Adverse Childhood Experiences for Hispanic students.
Analisa Perilaku Mahasiswa Universitas Muhammadiyah Surakarta Terhadap Ojek Online Dengan Pendekatan Technology Accepatance Model (TAM)

Transportation is an item and a person from the initial place to the place of destination. From there occurs an item, and requires a vehicle as a means of transport and the existence of the road that will be traversed for transportation. Modern era has now developed online transportation that has been developed by the developer company. Online transportation itself uses an application that has been developed as a media liaison between users (customers) and drivers (drivers) that is easy to use and very easy to order. As for the online motorcycle taxi rates have been determined from each application. The rate is also different in ordering transportation, ordering food, and shipping goods. Online taxi has many users consuming a lot of benefits. One of the users is a student. For this reason, research will be conducted to learn how to use Student on the GOJEK application. Where there will be facilities from what GOJEK application is often used by students and how the level of satisfaction of students with the facilities they have used To find out the results will be done by TAM (Technology Acceptance model).