Reviewerly/exHarmony huggingface dataset:
Patronage of Online Bookstores by Postgraduate Students at Nigerian Universities

The preference for online bookstores is increasing among students; however, research that focuses on online bookstores has not been given attention in the Nigerian university context. This study examined, through empirical analysis, the patronage of online bookstores by postgraduate students at Nigerian universities. A survey design was adopted using a questionnaire to collect data from 969 postgraduate students selected from twelve universities from the South-west and South-south regions. Six research questions were developed. The findings reveal that Amazon is the online bookstore most often patronised by Nigerian postgraduate students. The books ordered most often are textbooks, fiction, and reference books. The factors driving patronage of online bookstores are convenience, the wide range of products available, the opportunity to purchase anytime and anywhere, the ability to save time, and cost advantages. Culture and censorship do not have an impact on the patronage of online bookstores. Overall, postgraduate students are satisfied with their experience of online bookstores, although the challenges include internet connectivity, long waiting times for delivery of ordered books, inadequate information and communication technology (ICT) skills, limited access to computers with internet access, loss of ordered books during transit, and the risks inherent in paying for books ordered online. Since only one bookstore in this study, Ikasuwa, is based in Nigeria, it is recommended that Nigerian bookstores and booksellers consider creating online platforms to reach out to customers.
Effect of Branch Expansion on Cost Efficiency of Ethiopian Commercial BANKS. (Stochastic Cost frontier Approach)

Banks are a vital parts of a nation's economy that catalyzed Economic growth through facilitate spending and investment in the economy.Bank institutionis one and the top from the major financial institutions in Ethiopia.The number of all branches of the industry including public banks increased from year to year aggressively.Thus, the overall objective of this study was to investigate effect of branch expansion on cot efficiency Ethiopian commercial banks.Accordingly, from the population, Commercial banks operating in the country a total of 18, among these, 2 public and 16 private commercial banks (a total of 14 commercial banks) were included in the study period 2010/11-2018/19 based on non-probability, purposefully sampling method.The research used theprice of labor, prices of capital,Number of branches, annual inflation rate, real GDP growth, Total loan output, management performances, market share, capital adequacy ratio,liquidity risk, prices of deposit and total securities variables to measure cost efficiency.To this end, the study used secondary data from the NBE, balance sheets and income statements of individual commercial banks obtained from the period from to 2010/11 to 2018/9.Then nine years' panel data of bank levelvariables has been collected and analyzed using stochastic cost frontier regression analysis.As a resultthe researcher concluded that stochastic frontier model as appropriate to represent inefficient operation among the commercial banks of Ethiopia .The Ethiopian commercial banks expanded their branches throughout the country's territory; most of the bank branches were opened.Despite the various challenges, banks preferred to go ahead with its plan to open more branches to reach customers.However their cost efficiency had been decreased as of aggressively opened branches in the study years.Accordingly the analysis result Zemen bank was the most cost efficiency and become the best practiced bank and CBE the most inefficiency bank and in reverses also characterizes in branch expansion profile.The researcher recommended thatEthiopianbanking institutions should continue to innovate so as to reduce their cost inefficiencies.Moreover, NBE and government stand towards policy that forbids foreign banks entry, the Reserve required ratio amount, and competition environment and policy in opening branches must revised.
Artificial Soul Optimization - An Invention

The is eternal and exists even after death of a person or animal. The main idea that is captured in this work is that soul continues to exist and takes a different a body after the death. The primary goal of this work is to invent a new field titled (ASO). The term Optimization is coined in this paper. All the algorithms which are proposed based on Artificial Souls will come under Optimization Field (ASO Field). In the Particle Swarm and Artificial Human Optimization, the basic entities in search space are Artificial Birds and Artificial Humans respectively. Similarly, in Artificial Optimization, the basic entities in search space are Artificial Souls. In this work, the ASO Field concepts are added to Particle Swarm (PSO) algorithm to create a new hybrid algorithm titled Soul Particle Swarm (SoPSO). The proposed SoPSO algorithm is applied on various benchmark functions. Results obtained are compared with PSO algorithm. The World's first Hybrid PSO algorithm based on Artificial Souls is created in this work.
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity

Reinforcement learning (RL) is empirically successful in complex nonlinear Markov decision processes (MDPs) with continuous state spaces. By contrast, the majority of theoretical RL literature requires the MDP to satisfy some form of linear structure, in order to guarantee sample efficient RL. Such efforts typically assume the transition dynamics or value function of the MDP are described by linear functions of the state features. To resolve this discrepancy between theory and practice, we introduce the Effective Planning Window (EPW) condition, a structural condition on MDPs that makes no linearity assumptions. We demonstrate that the EPW condition permits sample efficient RL, by providing an algorithm which provably solves MDPs satisfying this condition. Our algorithm requires minimal assumptions on the policy class, which can include multi-layer neural networks with nonlinear activation functions. Notably, the EPW condition is directly motivated by popular gaming benchmarks, and we show that many classic Atari games satisfy this condition. We additionally show the necessity of conditions like EPW, by demonstrating that simple MDPs with slight nonlinearities cannot be solved sample efficiently.
Enhancing Print Journal Analysis for Shared Print Collections

Author(s): Jemison, Dana Lucile | Abstract: The Western Regional Storage Trust (WEST), is a distributed shared print journal repository program serving research libraries, college and university libraries, and library consortia in the Western Region of the United States. WEST solicits serial bibliographic records and related holdings biennially, which are evaluated and identified as candidates for shared print archiving using a complex collection analysis process. California Digital Library’s Discovery a Delivery WEST operations team (WEST-Ops) supports the functionality behind this collection analysis process used by WEST program staff (WEST-Staff) and members.For WEST, proposals for shared print archiving have been historically predicated on what is known as an Ulrich’s journal family, which pulls together related serial titles, for example, succeeding and preceding serial titles, their supplements, and foreign language parallel titles. Ulrich’s, while it has been invaluable, proves problematic in several ways, resulting in the approximate omission of half of the journal titles submitted for collection analysis.Part of WEST’s effectiveness in archiving hinges upon its ability to analyze local serials data across its membership as holistically as possible. The process that enables this analysis, and subsequent archiving proposals, is dependent on Ulrich’s journal family, for which ISSN has been traditionally used to match and cluster all related titles within a particular family. As such, the process is limited in that many journals have never been assigned ISSNs, especially older publications, or member bibliographic records may lack an ISSN(s), though the ISSN may exist in an OCLC primary record.Building a mechanism for matching on ISSNs that goes beyond the base set of primary, former, and succeeding titles, expands the number of eligible ISSNs that facilitate Ulrich’s journal family matching. Furthermore, when no matches in Ulrich’s can be made based on ISSN, other types of control numbers within a bibliographic record may be used to match with records that have already matched with an Ulrich’s journal family via ISSN, resulting in a significant increase in the number of titles eligible for collection analysis.This paper will discuss problems in Ulrich’s journal family matching, improved functional methodologies developed to address those problems, and potential strategies to improve in serial title clustering in the future.
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ В ИСПОЛЬЗОВАНИИ ЦИФРОВЫХ ОБРАЗОВАТЕЛЬНЫХ РЕСУРСОВ В УЧЕБНОМ ПРОЦЕССЕ

The article deals with the goals and results of professional training of the future primary school teacher, her/his professional training as the initial stage of formation and formation of professional competence. Professionally-pedagogical competence is characterized from the point of view of the competencies required for the solution of professional tasks aimed at the achievement of educational objectives based on the needs of society. In modern conditions, among the urgent tasks in the implementation of targeted training of professional teachers, ready to solve pedagogical problems of Informatization of education, identified and justified the problem of effective use, selection and analysis of digital educational resources, as well as the creation of individual digital educational resources. Professional competence of the primary school teacher as a specialist in the use of DER is a complete set of initial, basic and special competencies of primary school teachers in solving professional problems. The characteristic of professional competence of the primary school teacher as a specialist in the use of digital educational resources is presented. Primary school teacher reveals special competence on the basis of knowledge and skills in the field of pedagogical technologies, information and communication technologies.
INTERACTION OF OBJECT, SUBJECT AND SYNERGETIC CATEGORIES IN SCIENTIFIC WORK

This article is about one of the most fundamental categories of philosophy, the object and the subject, and focuses on its place and role in scientific research. The objective of the research activity is the object in the broadest sense of reality. The researcher acts as a subject, whether it is an individual or a specific community (creative team). Synergetics has gained the status of a philosophical category as a branch of science and is important in the study of significant changes in the universe.
Blockchain Based Model for Royalty Payments of Artists and RemixMakers

Blockchain being an arising technology in recent years; it has yet to delve more into the music industry. This paper precisely enlightens the scope of blockchain technology in the music sector. The existing music industry deals with the issue of immense plagiarism. It discredits the original artist and the disorder in recognizing the true talent of hardworking artists, which often gets overlooked by those who have fame and popularity and big music labels as a pillar to support. The purpose is to create a foundation for those who have talent but not the opportunity to shine along with the fact that every hardworking artist, irrespective of the fame or popularity, can get their deserved recognition and royalty with the prospect to be appreciated through the methodology where on an upload; With the help of Ethereum blockchain and IPFS, revenue will go directly to the artists transparently and securely. The hash and its fingerprint are generated to check for copyright. If successful, a transaction system is carried out with the help of a decentralized application.
PROTOTYPE APLIKASI PENGOLAHAN DATA WAREHOUSE PADA PT TELKOM AKSES

Data warehouse processing is a storage medium in a company that collects data from various systems and can be used for various purposes such as reporting and analysis. In PT Telkom, access to warehouse data processing is still done in a conventional way, namely by recording data to the main book. Because it still uses the conventional method, in the data collection process there are often some shortcomings of errors that occur in the accumulation of data on the archive table, loss and damage to physical data, the data recording process cannot be on time, the data recording is not timely because I have to. In this research, it aims to help PT Telkom Access in designing a data warehouse application prototype using web-based technology. With the use of a website, the data warehouse can be processed and analyzed quickly and is not limited to physical space.
The Development of School Readiness of Kindergarten Students Through Storytelling

Complete–playtime is an early concept of kindergarten idea. However, recently, children no longer obtain many opportunities to explore themselves through contextual learning activities such as playing drama or listening to tale. Children are focused on academic-centered activities, so they experience learning boredom at an early age. Moreover, students have not owned a school readiness when entering elementary school. This research helps kindergarten students have school readiness like academic skill, emotional-social skill, and morality through storytelling classically. This experimental study used True-Experimental Postest-Only Design. The two kindergartens were selected through cluster sampling from 100 target populations—the data was collected using the Bender Gestalt Test and observation. The series of storytelling activities as a treatment given towards students proved that the experimental group had school readiness earlier than the controlled group. The experimental group possessed more school readiness than the control group, with the difference was 37% age equivalent to eight years old and 29.6% equal to 7 years old. Other purposes accomplished were developing school readiness skills in vocabulary building, active question-answering, positive attitude towards peers, concern towards social environment, and literacy development.
Prediksi Hasil Produksi Kelapa Sawit PTPN IV Bahjambi Menggunakan Algoritma Backpropagation

Oil palm is a tropical plant of the Indonesian natural palmae group which has a tropical climate. The growth and harvest of oil palm also depends on fertilizers and the rainfall that falls every day. To get good production results it requires high ability and a lot of labor. Each production result certainly does not always increase, there must be a time when the production will decrease, therefore an algorithm is needed to predict it so that companies can find out the development of palm oil production in the future. In this study, researchers used the Backpropagation Algorithm. The Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target, there are 5 training and data testing architectural models, namely 2-21-1, 2-22-1, 2-24-1, 2-26 -1 and 2-28-1. From the results of testing data on oil palm production, the best architectural model is obtained, namely 2-22-1 which shows that the target is reduced by the output that SSE is 0.35206024, from the data obtained, the performance of the calculation of artificial neural networks with the Backpropagation Algorithm gets an accuracy of 83.3%. . So that it can be used as a benchmark in predicting palm oil production, seen from the comparison of the desired target with the predicted target
Towards Accountability Driven Development for Machine Learning Systems

Conference Proceedings: ISSN 16130073 CEUR Workshop Proceedings Volume 2894, Pages 25 - 322021 2021 SICSA eXplainable Artifical Intelligence Workshop, SICSA XAI 2021, Aberdeen, 1 June 2021, 169872
EFEKTIFITAS TEHNOLOGI AUGMENTED REALITY (AR) UNTUK MEMAHAMI GERAKAN SHALAT PADA MATA PELAJARAN FIKIH KELAS 2 MI. ASASUL HUDA RANDEGAN TANGGULANGIN

The significant development of information technology has given effects to all aspects, not to mention in education world. However, the utilization of technology has not yet reach its effectivity especially in educational learning. It is common to find learning which still utilize conventional and monotone media in particular religion subject. Thus, it raises the boredom, lack of creativity and difficulties for students to gain academic achievement. The utilization of Augmented reality (AR) technology is one of attempts in utilizing technology for academic learning. Assemblr as one example of Augmented reality, is a new innovative media that can be used in religion subject. Assemblr is an application that is able to create 3D content which can be visualized in Augmented reality technology. In fiqh learning for 2nd grade, Islamic primary school Asasul Huda Randegan, Assemblr is able to be used for understanding praying motion in which commonly taught by conventional media such as whiteboard or pictures, now within utilization of Augmented reality technology, will allow teacher to construct a creative, innovative and interactive learning media.
The Values of Library Publishing and Open Infrastructure: Recapping #LPForum21

Who leads, participates in, and is served by global knowledge infrastructure? Check out these takeaways from the recent Library Publishing Forum Conference from the perspective of a member of the planning committee.
Survey of Point-of-Interest Recommendation Research Fused with Deep Learning

Point-of-interest (POI) recommendation has emerged as a focal point in the research of location-based social network (LBSN) in recent years. It can help users find their favorite venue and bring considerable benefits to businesses. Nowadays, deep learning is gradually applied to the task of recommendation system because it can capture the nonlinear relationship between users and items more effectively. This paper thus focuses on recent research on POI recommendation combined with deep learning. Firstly, we introduce the difference between POI recommendation and other traditional recommendation tasks and illustrate various influencing factors that can improve the performance of the model. Then, the methods of applying deep learning to POI recommendation are divided into four categories, including POI embedding, deep collaborative filtering, feature extraction from side information, and sequence recommendation using recurrent neural network (RNN). We also investigate the development of user models performance and advantages combined with deep learning in these different aspects of applications. Finally, we summarize and look forward to the development of POI recommendation research combined with deep learning.
SELF-TRANSCENDENCE IN THE PREADAPTIVE STRATEGY OF SENSE-MAKING

In the course of acmeological development, transition of an individual from adaptation to preadaptive activity takes place. Thanks to preadaptivity, a person has new opportunities for the development of such features of his personality that help to overcome various crisis and uncertain situations. In such conditions, the system of personal senses becomes an integral regulator of life activity. The state of integrity of this system shows the possible ways of raising a person above self-actualization as a result of self realization in reality. Self-transcendence follows self-actualization and means going beyond the present self to fulfill the highest purpose. Self-transcendence is based on the process of overcoming the existential crisis of finiteness of one&amp;#x27;s being, as a result of which the system of personal senses gets restarted and shifts to creating cultural benefits for other people. Self-transcendence contains such existential attributes as experience of creative insights, preservation of subjectivity, ability to overcome existential crises in a positive way, tolerance to uncertainty, creative thinking, freedom in taking responsibility in search for one&amp;#x27;s own destiny
THE EFFECT OF READING INYETERST AND GRAMMAR MASTERY TOWARD THE STUDENTS’ READING SKILLS OF THE PRIVATE SENIOR HIGH SCHOOL IN EAST JAKARTA

ABSTRACT This research is aimed at finding the effect of reading interest and grammar mastery toward the students’ reading skill. The hypothesis of the study includes: 1). There is a collaborative significant effect of reading interests and grammar mastery toward the students’ reading skill; 2). There is a significant effect of reading interests toward the students’ reading skill; and 3). There is a significant effect of the grammar mastery toward the students’ reading skill. The method of the research is a descriptive survey using some samples from a number of population and using tests instrument for data collection. The number of the samples is six (6) classes from three (3) schools namely THE BUDI WARMAN 1 SENIOR HIGH SCHOOL, THE BUDI WARMAN 2 SENIOR HIGH SCHOOL, and THE MALAHAYATI SENIOR HIGH SCHOOL East Jakarta. The result of the research shows that; 1). There is a collaborative significant effect of the reading interests and the grammar mastery toward the students’ reading skill of Private Senior High School in East Jakarta. The significant effect was proved by the score of Sig. = 0, 000 < 0,05 and F 0 = 18.056. Both variables, the reading interests and the grammar mastery had given a contribution of 31,1% to the students’ reading skill. 2). There is significant effect of the reading interests toward the students’ reading skill of the Private Senior High school in East Jakarta. The significant effect was proved by the score of Sig. = 0,009< 0,05 and t 0 = 2.669. The reading interests had given a contribution to the students’ reading skill of 10.55%. 3). There is a significant effect of the grammar mastery toward the students’ reading skill of the Private Senior High school students in East Jakarta. The significant effect was shown by the score of Sig. = 0,000 < 0,05 and t 0 = 4,173. This variable had given a contribution to the students’ reading skill of 20,55%. Key words: Reading Interest, Grammar Mastery, Reading skill.
Story Cube in Increasing Narrative Writing Skills

Abstra ct . This research is a quasi-experimental research which objective is to determine whether there is an effect of the use of the Story Cube Game on the learning achievement of the sixth grade students' narrative writing skills at SDN 161 Pinrang. The independent variable in this study is the Story Cube Game media, while the dependent variable is the learning achievement of students' narrative essay writing skills. The population in this study were all students of SDN 161 Pinrang as many as 476 Students, while the sample was class VI.A as the experimental class with 35 students and class VI.B as the control class with 35 students. The data collection with giving a test of learning achievement on essay writing material in the form of pretest and posttest. The data analysis technique is the Independent Sample T-test. Based on the results of inferential statistical analysis, it was found that P = 0.003 was smaller than a = 0.05. It can be concluded that the use of the Story Cube has a significant effect on the learning outcomes of the VI grade students of SDN 161 Pinrang on writing narrative essay skills. Keywords : Story cube, narrative writing skills