Reviewerly/exHarmony huggingface dataset:
Improvement of University Educational Staffs Strategic Roles in Digital Era through Quality Academic Service

The aim of the evaluative study was to investigate and acquire empirical data on the quality of academic service provided by educational staff to the students/lecturers in a private university. The study employed survey method to the target population of all students in the fourth, sixth, and eighth semester of 2019/2020 academic year (six faculties) in the As-Syafi’iyah Islamic University Jakarta; from the reached population of 4,000 people, 215 samples were acquired by simple random sampling technique. The data were collected by a questionnaire instrument with Likert scale and were further analyzed descriptively by involving Excel and SPSS software programs. The result showed that: (1) the educational staff’s academic service quality is considered adequate (avg. score = 3.3); signifying (that the educational staff’s performance is yet to reach the excellent service standard (good category with score = 4, or very good category with score = 5); (2) the reliability and empathy aspects score 2.90 in average (less adequate); (3) the staff’s require to develop knowledge, attitude, and skills that meet the standard of excellent service as above; therefore, the system of independent knowledge/attitude/skills is needed. Among the methods to develop such a system is by direct or indirect intervention media in the form of communication media (e.g., WA group), workshop/training, morning briefing, excursion/gathering, job rotation, and mentoring.
Peningkatan Kualitas Laporan Keuangan Dengan Software MYOB Accounting Versi 16

Computer technology has helped many people in overcoming problems that occur including in the fields of business and accounting. The object of research is CV. Malianury Graffiti which is a printing service company. The company records and presents reports using the Microsoft Excel application. The final report is only in the form of sales reports and financial transaction records. Thus this company performs manual calculations to determine the company's profit / loss. The purpose of this study is to provide solutions to problems that occur and compare the conventional recording with recording using accounting software, MYOB Premier V.16 on CV. Malianury Graffiti. The research method used in the form of data collection methods are observation, interviews and literature study. It is hoped that this research can facilitate the company in processing transactions into financial statements, improving the results of financial statements, useful for related parties in analyzing financial statements and in decision making.
Application of Apriori Algorithm Method in Sales Analysis of Mountain Bag Brands in Post Stores 1

Nowadays, climbing mountains has become a lifestyle for young people. Outdoor industries that produceclothing, bags and sports shoes participate in developing and following the desires of the market. Eachcompany in producing its products has a special brand. Shop Pos 1 is one of the shops that sell variousclimbing equipment commonly used by climbers to climb mountains. In addition, Pos 1 stores also find itdifficult to get updated information about the level of sales per period. Therefore, we need a decision support systems and methods that can be used to determine business strategies that can provide efficientand effective information, namely data mining using a priori technology association methods. The authorchooses mountain bag products only as research material by selecting brands, completing Avtech, Consina,Co-tracks, Cozmed, Eiger, Forester, Rei, Loss. In analyzing the data, the writer uses a priori algorithmcalculation by testing the hypothesis of two variables between the value of support and the value of trust.After that, a priori algorithm is calculated using Tanagra. Based on analysis conducted by the author, theoperator most preferred by climbers is Avtech, Consina, Cozmed. From these results, it can be used by Pos 1to prepare brand inventory of mountain bag products that are widely bought by buyers and increasebrand inventory.Keywords: Bag Brand, Data Mining, apriori algorithm.
Low-cost identification system of ICT for depression in children 8-11 years old: The case of the I.E.D. Edgardo Vives de Santa Marta, Colombia

The objective of this research was to implement a low-cost diagnostic information system for children aged 8-11 years of the District Educational Institution (DEI) Edgardo Vives Campo de Santa Marta Colombia, using a mixed and experimental methodology, using the systematic waterfall model and the internationally accepted, Childhood Depression Questionnaires (CDQ), which allowed the identification of health and education problems in children, intervening effectively to improve the quality of life of a student identified with symptoms of depression. In conclusion, the use of Information and Communication Technologies (ICT) facilitates innovation, guaranteeing adequate training and integral development.
Impact of Human and Content Factors on Quality of Experience of Online Video Streaming

Although expensive, but the most reliable measure of user perception is by direct human interaction by taking input from the user about a stimulus quality.In our previous studies, we have identified some subjects getting bored and losing focus by rating lots of video clips of small duration during subjective quality assessments.Moreover, the psychological effects, i.e. user delight, frequency of watching online videos (experience), mood, etc. must not influence the user Mean Opinion Score (MOS) for determining the quality of the shown stimuli.In this paper, we have investigated the impact of user delight, frequency of watching online video content (experience) and different mood levels on MOS for streamed video stimuli in various network conditions by subjective quality assessments.We have observed a slight tendency of better scores when the user likes the stimulus.However, our results show that if the subjective assessments are conducted by carefully following the guidelines, the users impartially rate the video stimuli solely based on the quality artifacts irrespective of their delight towards the shown content.Although, we have observed an effect of user mood on MOS ratings; for almost all the stimuli, but the results suggest the need of more detailed study; i.e. with a large and diverse set of subjects, to obtain significant statistical relevance.
Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19)

Humans are facing a non-natural disaster that threatens the entire human population on Earth. Non-natural disaster is called Corona Virus Desease (COVID-19), which is a large family of viruses that can attack humans and animals that are currently a global pandemic. Humans usually cause respiratory infections, ranging from the common cold to serious illnesses such as MERS and SARS. COVID-19 itself is a new type of coronavirus found in humans and in the Wuhan area, Hubei Province, China in 2019. To assist medical staff in early detecting symptoms experienced by patients and facilitate the administration of hospital records, one of them was made an expert system that could detect this COVID-19 early with the Certainty Factor (CF) method. This expert system mimics similar symptoms experienced by COVID-19 patients and will be grouped into several patient statuses. Patients who experience serious symptoms will be grouped into Patients Under Supervision (PDP) and patients who are considered to have milder symptoms will be grouped into Insider Oversight status (ODP) while those who experience symptoms that are outside of the main symptoms will be classified into Non Suspect (NON) status . From 152 patient data inputted in this study, 114 ODP results with an average CF value of 91.38%, 36 PDP with an average CF value of 98.25% and 2 NONs with an average CF value of 40%. CF with system calculation experiments that represent patients get a CF value of 0.998848 or 99.88% to PDP. This expert system can be used to make decisions that can help medical personnel perform actions and administer better before conducting a through test in the laboratory to ensure positive or negative patients COVID-19
The Application of Mamdani Method for Predicting The Best Portable Computer Based on Hardware and Price

A portable computer is a technology tool widely used among students and students. With a very helpful role as in typing needs, presentations, and math calculations. A variety of carry-on computers that many certainly make one difficult to determine a decent and good portable computer to use. In general, in the process of selecting a portable computer, there is no recognized standard to determine the recommended portable computer level. The purpose in this research is to produce predictive values that will be a reference in supporting decisions in determining a portable computer that complies with hardware component criteria and pricing. This study implemented FIS Mamdani models with the analysis stage of the formation of fuzzy sets, application of implications function, rule composition and defuzification. The result of this research is an output of predictive value based on hardware component inputs and prices that will assist the user in supporting decisions in determining the best carry-on computer and according to what they want.Keywords: Predictions, Fuzzy Inference System, Mamdani methods, portable computers, students.
Los intermediarios técnicos y la agencividad de los objetos. Cómo los ingenieros del sonido producen sentido en la producción de música en conciertos

Cultural production is increasingly understood through the prism of science and technology studies (STS) and actor-network theory (ANT), which emphasize the role of objects and the material environment in social processes. We take the case of sound engineers—a category of cultural producers dedicated to creating meaning using primarily materials and objects—to investigate the role of materiality in processes of cultural production. In most studies of music production, this category of workers is lumped together in the amorphous category of "support personnel." To designate these people—endogenously labeled as the "tech crew"—we introduce the concept of technical intermediaries, as intermediaries of cultural production that, unlike cultural intermediaries, modify the material content of the symbolic goods produced by an art world. Through an ethnographic study of live music sound technicians in France, we show that the working practices of technical intermediaries are explained more by their relationships with other members of the art world than by properties of their material environments, hence questioning the "generalized symmetry" central to ANT and material semiotics.
Large Dimensional Data Reduction by Various Feature Selection Techniques: A Short Review

In a data dependent era, dimensions contain a huge number of variables both in rows and columns forming more complex data matrices and these dimensional expansions generate a large dimensional data (LDD).The dimensionality problem of LDD is a massive challenge for analytics purpose and it somehow burdens the machine learning approaches.Due to the faster growing rate in innovative Internet of Things and web-based technologies, static data becomes noisy and nonstochastic that results in data loss and instability.Therefore, the demand for complex data dimension reduction technique (DDR) is growing immensely to improve data prediction, analysis and visualization.Several computational techniques have implemented for DDR which is further segregated into two categories such as feature extraction techniques (FET) and feature selection techniques (FST).But, most of the existing FET methods focus on transforming the higher dimensional data into a lower dimensional space and unable to tackle with the dimensionality reduction problem.Hence, this paper focuses on various dynamic FST that not only reduces the dimensionality load but also catalyze the data analysis process.
EFL Learning Motivation: Lifelong Enjoyment

This study is part of a five-year consecutive study designed to help college freshmen change their view of English learning as a tedious activity to one where they see it as a lifelong enriching experience. In the first two studies we focused on self-efficacy sources. In the third study we added focus on the development of future EFL selves with image training. We then shifted our attention toward the establishment of concrete and fun English study reasons that are associated with students' hobbies and interests using YouTube videos as authentic learning support material outside the classroom. In these studies we were able to help our students improve their English listening skills during the spring semester, but those students were unable to maintain that proficiency level over the summer breaks or during the subsequent fall semester. Thus, in this present study, we added explicit instruction on how to access and make use of certain YouTube sites in order to improve English listening skills. Based on our findings, this most recent method helped our freshmen significantly improve their English skills, even during the spring semester and summer break, and for the most part improve their English listening skills during the fall semester as well.
Adaptive learning to enhance students understanding in learning technology experience

One of the difficult problems at the present stage of development of education is the creation of conditions for the full realization of the student's personality. As one of the ways to solve it, the creation of an adaptive educational process is considered, which is built taking into account the capabilities of students, focuses on meeting their diverse needs and interests, provides conditions for their life self-determination and self-realization, creates a favorable psychological climate for the pedagogical interaction of all subjects of the educational environment. Thus, the paper is based upon adaptive education technologies used to reflect the cooperation of subjects, dialogue, the solution of personally significant tasks, free testing of experience.
Virtual Cluster Deployment Model for Large-Scale Data Processing Jobs

The virtual cluster needs to deploy virtual nodes with different computing modes for Large-scale data computing jobs including many tasks with different computing modes. There are resource unbalance among the virtual cluster subsets, which is consisted of virtual nodes with the same computing mode. So the resource utilization of virtual cluster is poor due to the time-varying and complexity of workloads. To solve these issues, a novel dynamic deployment model based on Docker was proposed to optimize resource configuration of virtual cluster. Hybrid deployment scheme includes coarse-grained deployment and fine-grained deployment in order to absorb the mutation of resource demand when processing the jobs encapsulated with complex computing logic. This deployment model can reduce job waiting time and improve performance by providing more resource for running jobs. The coarse-grained deployment mechanism has the ability of decreasing deploying overhead and improving stability from global optimal perspective. And the fine-grained deployment mechanism can increases the deploying accuracy from local optimal perspective. The experiments show that this model can improve the execution efficiency of job by 2.3 percent compared with static deploying scheme and improve the virtual CPU utilization about 7.9 to 25.9 percent compared with other approaches.
Precedence of Work Environment Factors Influencing Employee Performance: A RIDIT Approach

Objectives:The aim of this study is to analyze the impact of work environment on employee performance and to establish the ranks and prioritize the items related to work environment (WE) in order to maximize employee performance.Methods: Descriptive methodology was used for the study.Association between work environment and employee performance was identified by using correlation analysis.Means of the items of WE were obtained and ranks were provided to the various factors of work environment using RIDIT analysis.Findings/application: The review founds the need to connect work environment with the performance of workers.The managers need to study the rankings provided to the various factors of the work environment and derive the policies or make amendments as and where needed, according to the priority of the factors.This will enhance the overall performance of the employee of the organization as suggested in the study.The uniqueness of this study is, prioritizing the items of work environment with respect to employee performance by using RIDIT analysis.Hence, firms can concentrate and give utmost importance for those items to maximize workers' efficiency and hence organization performance.
Mining of Autism Intervention Methods based on PyLtp Package and TextRank Graph Algorithm

This Scrapy framework has been used to extract autistic posts from Baidu Tieba as experimental data, using the API of the application program interface provided by the language technology platform (LTP) provided by Harbin Institute of Technology, to perform Chinese Word Segmentation, part-of-speech tagging, named entity recognition, dependency parsing, event triplet construction and relation extraction on experimental data. The TextRank graph algorithm is used to extract the keywords, and the key words, high frequency words and event network of the corpus are visualized in the form of graph. The results show that “Tomatis Training” is an effective way to improve hearing and attention in children with autism.
Analysis of Crimes of Juveniles Delinquency Using Statistical Techniques

Juvenile delinquency also known juvenile offending, is the act of participating in unlawful behavior as a minor or individual younger than the statutory age of majority. This paper is based on a research project in which the Juvenile delinquency is analyzed by researchers. A researcher has been collecting the data from internet (Website: ncrb.gov.in). This research aims to explore the educational background of the criminal along with the family background and their economic status which affects the juveniles or which results in the crime among juveniles. The present study leads to the conclusion that the low income of the family, family background (nuclear or joint or homeless), lack of parental supervision on their children is the main cause which is leading to the rise in this trend of delinquency
THE FACTOR MODEL OF THE ESTIMATION OF EDUCATIONAL ACTIVITY OF STUDENTS

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Lightning Fault Location and Visualization for UHV Transmission Lines

Lightning stroke is an important factor affecting the operation of the power grid. In order to improve the accuracy of lightning fault identification, the fault location is based on the information of the tripped lines and the lightning locating system. Real time fault information will be sent to the relevant staff through the fault visual notification system, which provides technical guidance for line operation and maintenance management, operation control, emergency disaster prevention and mitigation. The notification system minimizes the transmission line faults outage time caused by lightning, so as to guarantee the safety and stability of the power grid operation.
ADOPTION OF VOLUNTARY GLOBAL GOVERNANCE INITIATIVES: EQUATOR PRINCIPLES AND BANKS IN NIGERIA

Due to the growing level of dissatisfaction with the traditional models of governance established by the state, international governance initiatives have attracted more attention. This exploratory study is aimed at finding out the level of awareness and adoption of one such initiative, the Equator Principles (EPs), by banks in Nigeria. These principles were said to represent a good standard where environmental and social risks inherent in development projects can be identified, assessed and managed. The study was anchored on two theories: The club theory and the theory of institutional isomorphism. The survey data were gathered from 124 managers of the leading 10 deposit money banks in Nigeria. Data were analyzed using descriptive statistics presented in frequency tables and percentages. The findings show a high level of awareness of the EPs among the banks in Nigeria, but a low level of adoption. Although the study is limited by a small sample, it offers evidence that difficulties in measurability of benefits of adopting Equator Principles and lack of enforcements of sanctions for noncompliance seriously limit the number of financial institutions adopting the regime in Nigeria.
Spam Detection in Twitter

In today's world humans have the ability to connect and communicate through social media independent of time or location.Since past two decades social media and internet has made a tremendous change in digital platform.Those were the old days where letters were written and posted. As technology is evolving digital media has changed the game over years, now there is Gmail, twitter, linked-in, what's-app, Instagram, telegram and many such applications which connects the world from one end to other where there is exchange of knowledge human to human connection and communication where association and exchange of ideas has become convenient and uncomplicated. Like everything created has its own pros and cons the digital media has its own. The improper use of social media has been misleading the bona fide users, because there is lot of personal and confidential information being shared on digital media such as twitter, Instagram and so on. The information is being hacked or leaked by the spammers. These spammers hack the genuine users account and post illegal information and abusive comments. To avoid this a methodology has been put forth which can be done by algorithms using machine learning. The performances of this model are measured using recall and F measure techniques. To detect spam we use Naïve bayes classification algorithm and support vector machine algorithm.
Pemodelan Data Time Series dengan Pendekatan Regresi Nonparametrik B-Spline

Spline is one of the nonparametric approach, to adjust data so the final model has good flexibility. The purpose of this research is to model the time series data in the form of currency exchange rates by using the nonparametric B-spline approach. In B-spline modelling, determination of the order for the model, and the number and the placement of the knot are the criteria that must be considered. The best B-spline model obtained based on the selection of the optimal knot points with minimum Generalized Cross Validation (GCV) criteria. The modelling in this research use data on the exchange rate of the rupiah toward the US dollar in the period January 2014 - December 2018. The best B-spline model obtained by the 2 point knot approach, at points 11935.10 and 12438.29, with GCV valueequals to 55683.09.Keywords: Nonparametric Regression; B-Spline; Generalized Cross Validation
Augmenting the Makerspace: Designing Collaborative Inquiry Through Augmented Reality

This study explored the potential of using augmented reality (AR) technology in designing makerspace-based education in the elementary school setting. Employing the design-based research methodology, this study proposed and successively refined a set of instructional design principles for facilitating AR–supported collaborative inquiry through three iterations of design, implementation and revision. The affordances of AR were found to promote student engagement in collaborative exploration and task completion. Moreover, several pedagogical implications based on the empirical data were discussed, highlighting the importance of interdisciplinary integration, general inquiry sequence, proper scaffolding strategies, opportunities for transfer learning, and abundant instruction time for makerspace-based education.