Reviewerly/exHarmony huggingface dataset:
An Implementation of PCA and ANN-based Face Recognition System on Coarse-grained Reconfigurable Computing Platform

In this paper, a PCA and ANN-based face recognition system is proposed and implemented on a Coarse Grain Reconfigurable Computing (CGRC) platform. Our work is quite distinguished from previous ones in two aspects. First, a new hardware-software co-design method is proposed, and the whole face recognition system is divided into several parallel tasks implemented on both the Coarse-Grained Reconfigurable Architecture (CGRA) and the General-Purpose Processor (GPP). Second, we analyzed the source code of the ANN algorithm and proposed the optimization solution to explore its multi-level parallelism to improve the performance of the application on the CGRC platform. The computation tasks of ANN are dynamically mapped onto CGRA only when needed, and it's quite different from traditional Field Programmable Gate Array (FPGA) methods in which all the tasks are implemented statically. Implementation results show that our system works correctly in face recognition with a correct recognition rate of approximately 90.5%. To the best of our knowledge, this work is the first implementation of PCA and ANN-based face recognition system on a dynamically CGRC platform presented in the literature.
Cohesion and Coherence of Students Recount Texts in Indonesia

This study aimed at analyzing the cohesion and coherence of recount texts and their implication to teaching writing. The data was fifteen recount texts which were non-randomly chosen from the first-grade students of high school in Central Java, Indonesia. This was qualitative research employing cohesion theory by Halliday and Hasan (1976) and thematic progression proposed by Butt et al. (1995). The result of this research showed that most of the cohesive devices employed by the students were personal reference with 58.11%; demonstrative reference and definite article with 7.18%; comparative reference with 0.93%), lexical (repetition 22.21%; synonym 0.66%; superordinate 0.13%), conjunction (temporal conjunction 7.45%; adversative conjunction: 1.33%; additive conjunction 1.06%; causal conjunction 0.66%), and ellipsis with 2%. The presuppositions of the presupposed items and presupposing items were achieved anaphorically and cataphorically; most of them were anaphoric. The distances of the presuppositions were in the forms of immediate ties, mediated ties, and non-mediated ties. Furthermore, immediate ties occurred extensively. Based on the analysis, most of the texts were cohesive due to the achievement of presupposing and presupposed items in every sentence of the texts. Then, coherence of the students recount texts was achieved by employing three kinds of patterns: reiteration/ constant, zig-zag, and multiple thematic progression patterns. Most of the texts were developed by using a reiteration/ constant pattern. Based on the analysis, most texts were not coherent because of the unrelated clauses. As the result, they broke the signposted progression of the texts. The finding was expected to possibly contribute to the process of teaching writing by encouraging the students to create a good text in a cohesive and coherent way.
Readability of basic science textbooks for junior secondary schools in Enugu state, Nigeria

Introduction: Textbooks are essential component of the educational system that were heavily utilized by teachers and learners. Basic Science textbook authors should review the language structure and terminologies to enhance the readability of Basic Science textbooks. Purpose: The study aimed at analyzing the adequacy in the readability level of the recommended Basic Science textbooks in use junior secondary schools Enugu State, Nigeria. Methodology: An evaluation research design was adopted for this study. The population consisted of all the 60 recommended Basic Science that were approved for teaching of Basic Science in Junior Secondary Schools in Enugu state, Nigeria. The sample size of this study comprised of 33 recommended Basic Science textbook. Purposive sampling technique was used to draw eleven (11) recommended Basic Science textbooks each from JSS1, JSS 2 and JSS 3. The readability of the textbook was determined using Flesch-Kincaid Readability Formula. The researchers subjected the instrument to content validation by three experts, with internal consistency reliability estimate of 0.92. Microsoft office word 2010 was used to assess the readability. The mean of the readability scores for each Basic science textbooks was determined and interpreted using the Flesh’s interpretation readability scores relative to Nigerian schools. Results: The findings of this study revealed that almost all the Basic Science textbooks are adequate and can easily be understood by the students. Recommendations: The researchers recommended that the recommendation of Basic Science textbooks should not be based on the reputation of the publishers and the lobbying abilities but should be based on more objective criteria that relate to the textbook quality with the students as the principal focus.
Participatory Design for Accessible Evacuation Centre for Flood Victims in Kelantan

Malaysia has been experienced with many natural disasters such as flood, landslide, earthquake and drought, which resulted in damaging the properties and causing casualties especially during the biggest flooding affected over 36,128 families was in 2014 at East Coast of Malaysia mainly in Kelantan. Public buildings such as schools, religious buildings, including mosques or community halls, have been used as evacuation centres in Malaysia every year. Many studies identified many evacuees were facing many problems, particularly in terms of physical facilities, such as providing improper assistance in terms of facilities, privacy, and many others. This paper objectives are firstly, to review the requirements of the physical facilities for evacuation centre, secondly to assess the components of the physical facilities for evacuation centre and finally to propose the criteria of physical facilities for evacuation centre. A qualitative approach was adopted, and data were collected through observation, interview and secondary data through literature analysis. Three case studies in Kelantan were chosen based on three categories which are small capacity (Veteriner office, Kuala Krai), medium-capacity (Sekolah Menengah Kebangsaan Keroh, Kuala Krai) and big capacity (Sekolah Menengah Kebangsaan Agama Lati, Pasir Mas). The data were analysed to assess the physical facilities provided in the evacuation centre to facilitate the flood victims. The benefit of this research is to give awareness to flood victim for future disaster through technology, management, physical and mental. Thus, evacuation centre is important to create comfortable, privacy and rehabilitated environment to serve the flood victims physically and mentally.
Regulatory Goldilocks

Social media is a valuable tool that has allowed its users to connect and share ideas in unprecedented ways. But this ease of communication has also opened the door for rampant abuse. Indeed, social networks have become breeding grounds for hate speech, misinformation, terrorist activities, and other harmful content. The COVID-19 pandemic, growing civil unrest, and the polarization of American politics have exacerbated the toxicity in recent months and years. Although social platforms engage in content moderation, the criteria for determining what constitutes harmful content is unclear to both their users and employees tasked with removing it. This lack of transparency has afforded social platforms the flexibility of removing content as it suits them: in the way that best maximizes their profits. But it has also inspired little confidence in social platforms’ ability to solve the problem independently and has left legislators, legal scholars, and the general public calling for a more aggressive— and often a government-led—approach to content moderation. The thorn in any effort to regulate content on social platforms is, of course, the First Amendment. With this in mind, a variety of different options have been suggested to ameliorate harmful content without running afoul of the Constitution. Many legislators have suggested amending or altogether repealing section 230 of the Communications Decency Act. Section 230 is a valuable legal shield that immunizes internet service providers—like social platforms— from liability for the content that users post. This approach would likely reduce the volume of online abuses, but it would also have the practical effect of stifling harmless—and even socially beneficial—dialogue on social media. While there is a clear need for some level of content regulation for social platforms, the risks of government regulation are too great. Yet the current self-regulatory scheme has failed in that it continues to enable an abundance of harmful speech to persist online. This Article explores these models of regulation and suggests a third model: industry self-regulation. Although there is some legal scholarship on social media content moderation, none explore such a model. As this Article will demonstrate, an industry-wide governance model is the optimal solution to reduce harmful speech without hindering the free exchange of ideas on social media.
MS-TR: A Morphologically enriched sentiment Treebank and recursive deep models for compositional semantics in Turkish

Recursive Deep Models have been used as powerful models to learn compositional representations of text for many natural language processing tasks. However, they require structured input (i.e. sentiment treebank) to encode sentences based on their tree-based structure to enable them to learn latent semantics of words using recursive composition functions. In this paper, we present our contributions and efforts for the Turkish Sentiment Treebank construction. We introduce MS-TR, a Morphologically Enriched Sentiment Treebank, which was implemented for training Recursive Deep Models to address compositional sentiment analysis for Turkish, which is one of the well-known Morphologically Rich Language (MRL). We propose a semi-supervised automatic annotation, as a distant-supervision approach, using morphological features of words to infer the polarity of the inner nodes of MS-TR as positive and negative. The proposed annotation model has four different annotation levels: morph-level, stem-level, token-level, and review-level. Each annotation level’s contribution was tested using three different domain datasets, including product reviews, movie reviews, and the Turkish Natural Corpus essays. Comparative results were obtained with the Recursive Neural Tensor Networks (RNTN) model which is operated over MS-TR, and conventional machine learning methods. Experiments proved that RNTN outperformed the baseline methods and achieved much better accuracy results compared to the baseline methods, which cannot accurately capture the aggregated sentiment information.
Case Study on Global Competency Reinforcement of Liberal Arts Education: Focusing on Non-Curricular Areas

Purpose: The purpose of this study is to consider ways to strengthen it through comparison and curriculum while recognizing the importance of global competencies in liberal arts education in universities.Methods: In order to explore ways to reinforce the sub-competence of global competencies, this study was conducted at a four-year university in Chungcheong-do for one year in 2019, such as 'Global Culture Talk', 'Global Travel', 'Global Nanta', and 'Making Global Friends'.Cases of comparison and application of educational programs were analyzed.The program was attended by the Department of Business Administration, Department of Aviation Service, Department of Design, Department of Manga Animation, Department of Broadcasting and Film, and foreign exchange students.The competency-centered curriculum not only has clear educational goals, but is also very advantageous in establishing a feedback system by measuring its performance.This study will assess the effectiveness of the education plan by diagnosing the change in competencies before and after the comparison and curriculum is operated.Results: The overall global competency has increased by 0.2 points compared to 2017.By subsector, it was found that the flexibility increased by 1.4 points.In the field of cross-cultural understanding, it rose 0.6 points, and in the field of global understanding, it rose 2.2 points, showing the largest increase in the sub-fields.Nevertheless, the field of global interest remains at a low level.This is considerably low compared to flexibility and ability to understand other cultures, and it is expected that measures for improvement should be continuously sought.Since the understanding of other cultures has already exceeded 60 points, it is expected that the global competency of the university will be strengthened if the level is consistently maintained and the emphasis is placed on enhancing flexibility and improving global understanding. Conclusion:The importance of strengthening global capabilities is steadily rising.Universities are also reorganizing the curriculum by analyzing the needs and satisfaction of education consumers to respond to this.The programs operated and analyzed in this study were also made as part of this effort.However, since there are various factors that affect global competency, it cannot be but admitted that it is not easy to gauge the change in competency with only a few programs and short-term efforts.However, if the efforts pursued by this study are accumulated and supplemented through feedback from a long-term perspective, it can be expected that there are not a lot of contributions to strengthening global competencies in liberal arts education.
RANCANG BANGUN SISTEM INFORMASI DOKUMEN KERJASAMA BERBASIS WEB (STUDI KASUS : STIKES BHAKTI HUSADA MULIA MADIUN)

A database-based information system is a supporting application program for a university to make it easier to provide information services for users and accelerate the implementation of tasks or jobs effectively and efficiently. Cooperation is one of the main keys to success for a university; this is related to the existence of points in the accreditation assessment, namely the number of collaborations carried out by universities with related parties. The existence of an information system that manages documents and archives related to cooperation can make it easier for users to access and retrieve data for decision-making. This information system also provides access as needed to leaders, campus management, and stakeholders related to data and information managed by the Public Relations Section of Stikes Bhakti Husada Mulia Madiun. This research produces an information system that can be accessed easily by related parties who need the document in the form of archived data in a web-based application. Access to the application is required and is a basis for role permissions so that users who enter using this application can be controlled so that data security is more guaranteed.
Learning Math for 1st Grade Primary School Students using Intelligent Tutoring Systems

Primary education after early childhood education is an important momentum in the education stage of a human being, in this case, education at the grade 1 level of elementary school. Where the delivery of subject matter properly and correctly at the early stages of this primary education will affect human education in the future. As well as the importance of early education at the elementary level, mathematics is an important initial subject to be given properly and correctly, so that the specter that says mathematics is a difficult subject is not true when a student in the early stages of basic education gets a good and correct mathematics education. Moreover, The Covid19 pandemic period is one of the parameters of the difficulty of knowledge transfer for students in the early stages of basic education, where physical meetings are not allowed to avoid Covid19 transmission in the classroom. Therefore, integrated tutoring systems (ITS) are a knowledge transfer tool that can help teachers, students, and parents in the delivery of subject matter, especially mathematics subjects which have a track record of being a scourge, scary and difficult to learn. In this paper, a simple ITS specifically for tutoring mathematics lessons for grade 1 elementary school students in Indonesia is tried to be implemented using the Unified Modeling Languages ​​(UML) tool as an object-oriented modeling tool. Use case diagrams are applied to describe business processes in the ITS system that we built and use class diagrams modeled database table designs. Not to forget, the user interface (UI) from the results of the implementation prototype was displayed as a communication medium for users, both children, and tutors, in using applications built using Personal Home Pages (PHP) and MySQL.
The Influence of Organizational Culture on The Quality of Management Accounting Information Systems and Its Impact on Managerial Performance

Organizational culture is an important environmental problem for an organization. Managers must understand that culture is an important determinant that affects how well the organization will perform, then. Information systems must be managed based on appropriate methods and methods to strengthen the assumption that the accounting information system implemented by management will affect company performance and that management accounting information systems are not bound by formal criteria that can explain the nature of the input, process, and output. This study aims to determine the effect of organizational culture on the quality of management accounting information systems and its impact on managerial performance. This study uses a causal relationship (cause and effect). The data were collected using a survey method by distributing questionnaires directly to the Bhayangkara Tk Hospital. II Sartika Asih Bandung. The sampling technique was processed using cluster random sampling, amounting to 90 respondents, the data analysis was processed using SEM-PLS using explanatory research. The results obtained indicate that organizational culture has an effect on the quality of the management accounting information system and the quality of the management accounting information system has an effect on managerial performance.
Exploratory Analysis of Factors Influencing Ai-Enabled Customer Experience for E-Commerce Industry

AI is the talk of the town in which the customer is a king.This research investigates how the integration of Artificial Intelligence in online shopping on e-commerce platforms can lead to AI enable customer experience.It also aims to explore the factors affecting artificial intelligence-enabled customer experience.The study is proposing a model from trust commitment theory and service quality model.The author used exploratory factor analysis to extract the constructs contributing to each variable in the model.Data is collected through a self-designed questionnaire wherein 150 people were targeted out of which 112 responded but after cleaning the data, 109 were left.As part of the conclusion, the author made some suggestions and recommendations for E-tailers deploying AI in services provided to their customers.
A Framework for Reasoning on Probabilistic Description Logics

While there exist several reasoners for Description Logics, very few of them can cope with uncertainty. BUNDLE is an inference framework that can exploit several OWL (non-probabilistic) reasoners to perform inference over Probabilistic Description Logics. In this chapter, we report the latest advances implemented in BUNDLE. In particular, BUNDLE can now interface with the reasoners of the TRILL system, thus providing a uniform method to execute probabilistic queries using different settings. BUNDLE can be easily extended and can be used either as a standalone desktop application or as a library in OWL API-based applications that need to reason over Probabilistic Description Logics. The reasoning performance heavily depends on the reasoner and method used to compute the probability. We provide a comparison of the different reasoning settings on several datasets.
Vanishing ideals of parameterized subgroups in a toric variety

Let K be a finite field and X be a complete simplicial toric variety over K with split torus TX ∼ = (K * ) n .We give an algorithm relying on elimination theory for finding generators of the vanishing ideal of a subgroup YQ parameterized by a matrix Q which can be used to study algebraic geometric codes arising from YQ .We give a method to compute the lattice L whose ideal IL is exactly I(YQ) under a mild condition.As applications, we give precise descriptions for the lattices corresponding to some special subgroups.We also prove a Nullstellensatz type theorem valid over finite fields, and share Macaulay2 * codes for our algorithms.
Correction to: Parseval Proximal Neural Networks

This article was originally published Online First without Open Access. After publication in volume 26, issue 4, the author decided to opt for Open Choice and to make the article an Open Access publication. Therefore, the copyright of the article has been changed to ©The Author(s) 2021 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 .
Digital Literacy Analysis of Elementary-School Students in Malang

This study aims to determine the literacy skills of elementary school students in Malang.The subjects of this study were 10 elementary school students in Malang with a total of 303 samples.Data were collected using a questionnaire instrument.This research uses a descriptive quantitative approach.The results showed that the aspect of searching on the Internet (Internet Searching) was classified as high with an average score of 3.45, the guidance aspect of hypertext (Hypertext Navigation) was sufficient with an average score of 2.83.3).The evaluation aspect of the information content (Content Evaluation) is quite adequate with an average score of 3.14.4).Aspects of the preparation of knowledge are sufficient with an average score of 3.10, 5).Communicating search results gets an average score of 2.87 in the sufficient category.Based on the results obtained, it can be concluded that the overall average value of digital literacy of elementary school students in Malang City with a score of 3.07 is in the sufficient category.Students' digital literacy skills enable students to use information wisely and appropriately in their daily lives.