Reviewerly/exHarmony huggingface dataset:
Perancangan Sistem E-Reporting Menggunakan ReactJS dan Firebase

The head office of west region of Seventh Day Adventist Indonesia in Indonesia is located in Jakarta. Every month employees must report every transaction they have made . The report can be in the form of proof of purchase, shopping receipt, notes and other proof of transactions. The reporting system of the office is done by submitting a hardcopy proof of the transaction to the finance department. The reporting process takes a long time and allows for inaccurate proof of transactions. Another problem that is often found is the unknown status of reports. Employees often do not know whether the reports that have been received by the financial department have been approved or not. The purpose of this study is to design an E-reporting system that will make it easier for employees to report to the financial department so that reporting can be done quickly and accurately. The system to be built uses ReactJS and Firebase using an Agile Software development method. The result of this research is the creation of an E-reporting application that can help to report on the financial department every month.
A Research on Functional Judgement of Soft Union Ring

The clarification behind the paper is to set up a structure for giving a delicate logarithmic gadget in considering different issues that contain vulnerabilities. So as to give these touchy real structures, the likelihood of ( , )- dubious affiliation rings which is a hypothesis of that of precarious alliance rings is proposed. In this paper, delicate affiliation ring (SU-ring) on a dubious set is depicted by utilizing alliance activity of sets. This new idea demonstrates how a delicate set repercussions for a ring structure in the mean of affiliation and breaker of sets and from this chart, it fills in as a development among unsteady set theory, set theory and ring speculation. Also, we present the likelihood of fuzzy delicate rings (feelings) and concentrate a touch of their properties and associate characteristics. At long last, we portray fuzzy touchy most remote point and fuzzy delicate ring homomorphism, and after that give hypothesis of homomorphism picture and homomorphism pre-picture of a fuzzy touchy set under a fuzzy touchy farthest point.
Peningkatan teknologi informasi melalui supervisi pendidikan

Progress in information technology that is so fast is expected to improve the quality of education in Indonesia. In the world of information technology education can help and support the learning process. Especially now all the learning process activities can be done online. Progress in information technology must also be supported by quality human resources. In this case the teacher is very instrumental in the utilization of information technology in the world of education. Because the teacher is one of the education supervisors who will encourage the advancement of the quality of education in Indonesia. But in reality the quality of teachers in Indonesia is inadequate. There are still many teachers who cannot use information technology in learning especially for teachers who are senior or old. As teacher supervisors, they must improve the quality of their performance in using technology. To improve the ability of teachers to use technology, ongoing training is needed to use technology. The role of the head of the school as a supervisor is also needed, namely the principal is obliged to supervise, control, and approach the teacher in terms of the use of technology in the learning process.
PENGGUNAAN SISTEM ONLINE DISEKOLAH DALAM PENGADMINISTRASIAN KURIKULUM YANG AKAN BERDAMPAK LANGSUNG BAGI MUTU PEMBELAJARAN DISEKOLAH

Teachers are responsible for the management and data processing of the program at classes. After processing the results, parents and students are entitled to know: a) preparation of annual, semi-annual, monthly and weekly work plans; b) adjustment schedule c) preparation of the test and schedule of the review. (d) Preparing a list of books and tool exercises to be used in activities to improve student achievement; (e) Preparing evaluation standards; (f) Tracking and recording student achievement outcomes; (g) Preparing schedules and scheduling learning experiences in and out of the classroom. The data is obtained by dividing the paperwork to be done by the number of teacher lessons without coordination or detailed discussion made by the teacher so that there is the possibility of dissent. Through improving the digital management of the manufacturing process program, it will have a major impact on graduate performance. If the performance of graduates is improved according to parents ' wishes, the population and users of customer satisfaction graduates will also increase so that the school can gain great confidence from the public and users of the various graduate elements.
Stein's method in two limit theorems involving the generalized inverse Gaussian distribution

The generalized hyperbolic (GH) distribution converges in law to the generalized inverse Gaussian (GIG) distribution under certain conditions on the parameters. When the edges of an infinite rooted tree are equipped with independent resistances that are inverse Gaussian or reciprocal inverse Gaussian distributions, the total resistance converges almost surely to some random variable which follows the reciprocal inverse Gaussian (RIG) distribution. In this paper we provide explicit upper bounds for the distributional distance between GH (resp. infinite tree) distribution and their limiting GIG (resp. RIG) distribution applying Stein's method.
A Proposed Research Framework for Modeling of Academic Information System in Higher Education Institution toward Education 3.0

Most of modeling in information system used case study. The academic information system also can use the case study method. In a higher education institution who has implemented the Education 3.0 concept, the modeling of academic information system must be combined the method with a suitable framework with Education 3.0 concept. This research will propose the most suitable research framework for modeling of academic information system in higher education institution who has implemented Education 3.0 concept.
Performance of Classifiers on Newsgroups using Specific Subset of Terms

Text Classification plays a vital role in the world of data mining and same is true for the classification algorithms in text categorization. There are many techniques for text classification but this paper mainly focuses on these approaches Support vector machine (SVM), Naïve Bayes (NB), k-nearest neighbor (k-NN). This paper reveals results of the classifiers on mini-newsgroups data which consists of the classifies on mini-newsgroups data which consists a lot of documents and step by step tasks like a listing of files, preprocessing, the creation of terms(a specific subset of terms), using classifiers on specific subset of datasets. Finally, after the results and experiments over the dataset, it is concluded that SVM achieves good classification output corresponding to accuracy, precision, F-measure and recall but execution time is good for the k-NN approach.
Arabic Language Lifelong Learning (A3L) Tutorial Platform Using WhatsApp Messenger

This study examined the use of WhatsApp Messenger as a tutorial platform for Arabic language lifelong learning (A3L) at the Velsuf Institute. An exploratory research design was adopted and the purposive sampling technique was used in selecting participants for the study. Specifically, the study comprises 40 Velsuf Institute A3L learners. The WhatsApp Messenger was used as a tutorial delivery tool for the learners. Two research questions were raised and analyzed qualitatively. The result of the analysis indicated that WhatsApp Messenger could be used as tutorial delivery tool for A3L following the prescribed steps and procedures. Twelve Arabic lessons were learned which include contents for learners, quizzes, feedbacks and learner supports. Based on the findings, it was recommended that researchers need to extensively respond to the growing need of a body of research in this area, especially building models and strategies that work for the use of social media for the improvement of A3L delivery. Additionally, the A3L facilitators should be equipped with the skills of using mobile technologies, particularly the social media for A3L enhancement.
Encryption Techniques to Ensure Data Confidentiality in Cloud

Cloud computing is proving to be a beneficial model for all types of users as it enables anyone to share and make use of the available pool of resources and get the desired services online. It reduces the operational and maintenance costs since the user needs to pay for what he has used. Databases and applications are moved to the cloud and stored in large data stores of the cloud service provider which may be insecure or untrustworthy. End users want to know the location of data being stored and who have control over the information apart from the owners. They particularly want the data to be secured from unintentional or illegal access even by the service providers. As the data are stored in geographically dispersed area, the data is vulnerable. The most important concern is that data confidentiality is to be attained while data is stored or in transit. To provide confidentiality, initially cryptographic approaches were used that disclose the keys needed for decryption only to the authorized users. But in the cloud, the adopted encryption schemes should support fine-grained access control, high performance, scalability as well as full delegation. In order to share valuable data confidentially on the cloud in a secured way, various encryption techniques are available starting from Identity-Based Encryption, Attribute-Based Encryption, Hierarchical Attribute-Based Encryption, Identity-Based Broadcast Encryption, Searchable Encryption, Homomorphic Encryption, Fully Homomorphic Encryption and so on. This paper analyses some of the recent and popular encryption techniques and discusses the issues related to them.
Preface

The 1st International Conference on Fundamental, Applied Sciences and Technology (ICoFAST 2021) is organized by Universiti Malaysia Perlis (UniMAP) and Hadhramout University (HU). It was successfully held online through Zoom on March. 15-16, 2021. Due to COVID-19 and the pandemic-related nationwide lockdowns and other coordinated restrictive measures, the organizers decided to hold a conference in a virtual format with the organization of access for all participants to the presented reports with comprehensive discussion for ensuring the event at a high scientific level. ICoFAST 2021 is to bring together researchers and professionals from the academic, industrial and public sectors in the context of multi and inter-disciplinary forum and discussions on Fundamental, Sciences and Technology. The primary goal of the conference is to provide an excellent opportunity of knowledge sharing and research ideas exchange in the abovementioned disciplines for a better quality of life to meet future challenges. This conference is open to all researchers, postgraduates and post-doctoral students from all over the world. The conference will be held every two years to make it an ideal platform for people to share views and experiences in Sciences and Technology and related areas. The safety and well-being of all conference participants is our priority. ZOOM platform has been used for ICoFAST 2021, so all presenters, researchers, and audience were attended accordingly. ICoFAST 2021 was divided into four sessions through two days, including two keynote speaker’s speeches, oral presentations, and online Q&amp;A discussion. Every keynote speaker was given one hour to deliver his talk whereas 15 minutes for each presenter to perform their oral presentations one by one via ZOOM. More than 150 participants attended the meeting. We were greatly honoured to thank Prof. Dr. Khaled Ahmad Al-Wasabi (Minister of Higher Education, Yemen) and Major General: Faraj Salmeen Albahsani (Hadhramout Governor and Commander of Second Military Region) for their attending to the conference opening ceremony. The first keynote speaker, Prof. Dr. Prayoot Akkaraekthalin from King Mongkut’s University of Technology North Bangkok was invited to present his talk titled: Sensor Technology and Applications. Prof. Dr. Yousuf Pyar Ali Hassan for Hadhramout University was our second keynote speaker. He presented a talk titled: Nanomaterials and Nanotechnology, Developments, Current Status and Future trends The proceedings of ICoFAST 2021 span 5 tracks: Organic and Applied Chemistry, Applied physics and New Technology, Annals of Agriculture and Biological Science, Pure and Applied Mathematics, Environmental scientific Research and other related fields. All the papers have been through rigorous review and process to meet the requirements of International publication standard. We would like to express our gratitude to everyone involved. Without this dedicated cooperation, it would be impossible to hold the conference at such a high level and prepare the ICoFAST 2021 proceeding The Organizing Committee of ICoFAST 2021 Committee member and logos are available in this the pdf.
Adsorption Of Heavy Metals From Groundwater Using Titanate Nanoparticles Doped With Cross-Linked Polyvinyl Alcohol. Bahr El-Baqar Drain Region, El-Husinia, East Delta-Egypt

A composite of polyvinyl alcohol (PVA) and titanate nanoparticles (TNTs) was cross-linked with epichlorohydrin (EP) following the inverse-suspension polymerization method.Controlling the ratio of EP:PVA as well as the crosslinking time produces spherical beads, which characterized by scanning electron microscope (SEM) and Fourier transform infrared spectroscopy (FTIR).The factors affecting the maximum adsorption capacity of PVA/ TNTs against ferrous ion were investigated.The kinetic of the adsorption process were better fitted by the pseudo-second-order model than pseudo-first-order model.The equilibrium adsorption data were analyzed with isotherm models (Langmuir model, Freundlich model).The study showed that PVA/TNTs has high potential for removing iron ions from polluted water.In the present study, the removal of Fe +2 from aqueous solution by our resin was investigated.synthesized resin were investigated by SEM and IR.Initial pH also affected the removal process and the optimum initial pH was 5.The kinetic data were better described by the pseudo-secondorder model than by the pseudo-first-order model.The equilibrium adsorption data were analyzed with two isotherm models (Langmuir model, Freundlich model).
PREDIKSI TINGKAT KELANCARAN PEMBAYARAN KREDIT BANK DENGAN MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN K-NEAREST NEIGHBOR

Application developers and users are the main keys to the market's impact on application development. In developing applications, it is necessary to predict applications in the market accurately, accurate prediction results are very important in showing the correct rating and decision making in the selection of new prospective debtors. Tests conducted in this test use a dataset of credit customers from Bank Danamon. This study predicts the smooth payment of credit by combining the Naïve Bayes and K-Nearest Neighbor methods. Predicting the smooth level of credit payments is done by combining the Naïve Bayes algorithm and K-Nearest Neighbor in order to predict the smooth payment of credit in the future, this can be seen from the prediction results obtained by 80%.
Message from the Editor-in-Chief and from the Associate Editor-in-Chief

Welcome to the November 2021 issue of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Transactions on Visualization and Computer Graphics (TVCG)</i> . This issue contains selected papers accepted at the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). The conference took place in Bari, Italy from October 4–8, 2021 in virtual mode due to the COVID-19 pandemic.
Online Theory Supplement to "Variable Selection and Forecasting in High Dimensional Linear Regressions with Structural Breaks"

This online theory supplement has two sections.First section provides the complementary lemmas needed for the proofs of the lemmas in Section A.2 of the paper.Second section explains the algorithms used for implementing Lasso, Adaptive Lasso and Cross-validation. Complementary LemmasLemma S.1 Let z t be a martingale di¤erence process with respect to F z t 1 = (z t 1 ; z t 2 ; ), and suppose that there exist some …nite positive constants C 0 and C 1 , and s > 0 such that sup t Pr(jz t j > ) C 0 exp( C 1 s ); for all > 0:
OBJECTIVE SIGNS OF CRIMES AGAINST PROPERTY: THEFT OF FUNDS FROM A BANK CARD

The relevance of scientific research is caused primarily by the general transition of the society to the funds’ transfer network. Physical money is replaced by virtual one, the access to which is granted remotely. Therefore, in some situations, a lawbreaker can gain possession of non-cash resources far easier than stealing the cash of a possible victim. For the past two decades, lawbreakers successfully apply lots of ways allowing a lawbreaker both to possess personal information of another person – bank cardholder and, subsequently, to steal money from a holder’s account. The paper determines the objective signs of a crime against property and the list of attributes typical for stealing money funds from a bank card. The authors distinguish the objective signs of two bodies of a crime, which can fall within the definition of embezzlement from a bank card: a theft from a bank account, and fraud using electronic payment facilities. The authors conclude that the embezzlement from a bank card throw the commission of fraudulent acts is possible only when interacting with a third party. The actual presence of another person (a victim or an employee of credit, bank, commercial, or other organization) and the interaction of a criminal with this person is a prerequisite for classifying a crime as a fraud. Any actions aimed at the unlawful seizure of non-cash monetary assets and not accompanied by direct contact with a third party should be classified as theft.
ACRL programs at the 2019 ALA Annual Conference: A brief overview

ACRL Board of DirectorsACRL President’s ProgramPreconferencesOther sessionsACRL special events at ALA Annual Conference
Interrogate Indonesian EFL Learners’ Needs on Academic Writing Instruction

The present study aims to address the graduate students’ needs on instructional and assessment practices for preparing curriculum of Teachers’ Training College in Indonesian EFL context. 184 first-year students, who are currently completing their basic writing course at first semester. Survey research was employed to gather the empirical data which covered needs analysis through Google Docs. The data were, then, analysed using frequencies of descriptive statistics in SPSS22 version. The findings revealed that writing teacher pay particular attention on designing the curriculum since students’ interest are divergent, including writing text selection, course credit, determination of teaching method, the manner of written corrective feedback, revision, and assessment. The contribution of the study is to provide basic data of student needs in academic writing instruction for developing curriculum especially in EFL Indonesian context.
HEALTH SERVICES AT RISK: AN UNANTICIPATED OUTCOME OF THE NEED FOR CYBERSECURITY

The need for cybersecurity extends across disciplines.The lack of sufficient numbers of cybersecurity specialists to fill existing and expected positions is a growing concern.Cybersecurity represents a substantive and ever-changing collection of issues that can have life-long or perhaps life-threatening consequences.Cybersecurity specialists who also possess in-depth knowledge of another area where expertise is mandatory such as in healthcare are in short supply.In the medical industry as well as in a host of other businesses cybersecurity specialists must protect systems and data.They must also maintain regulatory compliance.The importance of this work cannot be over-stated.In order to head-off the brewing crisis of a shortage of cybersecurity-medical professionals in the healthcare industry that has the potential to force the need to limit access to services, action must be taken.The threat of having to close medical facilities is real.The work here is designed to address this crisis.The study examines the shortage of cybersecurity-medical professionals, the potential impact that the deficit has on availability to healthcare, and to offer a possible solution that could produce relief to the problem.
A Novel Hadoop Based Virtualization Automated Framework

With the huge development in relocation to distributed computing for customary applications, the interest inHadoop VIRTUALIZATION is the new requirement for further research and improvements. The extreme interest for Hadoop VIRTUALIZATION in distributed computing is been tended to with the innovation improvement and regarding virtual machines. Significantly the equipment segments the executives of virtual machine is impressively achieving the pick of research with the ongoing headways by different organizations and open source explores like AlphaVM, Hyper-V, Integrity Virtual Machines, JPC (Virtual Machine), PowerVM, Sun xVM, VMware Workstation and z LPARs. Another most imperative segment of Hadoop VIRTUALIZATION and virtual machine picture stockpiling is been the bottleneck for the further headway. The impediments are being tended to by bunching and capacity territory organizing, anyway these current arrangements are no counterpart for the modern evaluation interest for the VM picture stockpiling necessities. Subsequently in this work we propose a cloud based virtual machine stockpiling structure intended for huge scale arrangement fulfilling alternate requirements for capacity highlights like replication and estimations of execution enhancements. This work additionally exhibits the headways in execution for Hadoop VIRTUALIZATION the board.
Web based Application for Resource Management with Report Generation

Web-based resource management in an enterprise is important because it automates complicated and time-consuming activities directly related to human resource management. Not only does it make the job quicker and simpler for the Human Resource (HR) division but it also eliminates unnecessary manual work and offers an effective way to handle an individual in an organization. This paper is based on a computerized system with advancements primarily related with human resource management to develop a web application deployed over the internet on application server that provides authorized users with access to all information.This framework allows one to use report generation to handle the data with more visualization that ultimately helps in decision making. The system provides various functions such as recruiting employees, managing the payroll, approving leave and measuring biometric hours. It can be classified mainly as Administration Employee Management System (EMS), Timesheet management system (TMS), Leave management system (LMS) and Project management system (PMS). With technology upgrading and the way things are done, the entire organisation's management has become more complex. All organizations opt for a software solution like the proposed system to manage all such key resources, performance, and to assure data privacy and security.
Utterance ambiguity in uncertainty contexts strengthens scalar implicature

N. Goodman and A. Stuhlmüller’s experiment provides empirical support for the Rational Speech Act (RSA) model that predicts the probability of implicature inference in uncertainty contexts. We present a partial replication of this experiment in English and Polish; we argue that the partial replication indicates a possible ambiguity in the experimental design concerning the ‘some’ quantifier term. We verify the ambiguity of the quantifier term hypothesis in a redesigned experiment and argue that our results support the idea that the RSA model encodes a robust theory of communication.