Reviewerly/exHarmony huggingface dataset:
Digital Tiger Symbol Authorization Method Based on PKI System

Under modern high-tech conditions, the importance of personnel authorization security is increasingly prominent. A set of safe authorization method can ensure that human resources are properly distributed to each unit, thus providing reliable guarantee for the successful completion of tasks. However, current personnel authorization are still paper-based or verbal, prone to errors or inconsistencies, and difficult to verify. In this paper, a method of digital Tiger Mark authorization based on PKI system is proposed, using modern cryptography technology to provide support for the security and reliability of personnel authorization. This method realizes fine authorization, and the authorization can be verified. The method uses digital certificates to assign people's identities to their respective roles, and uses encryption algorithms to enforce access control policies and prevent unauthorized access. The feasibility of this method is verified by us in a simulated cross-domain task environment.
Computer Aided Foreign Language Translation Optimization Algorithm Based on Human-computer Interaction

Machine translation technology has made great progress in the past few decades, especially the proposal of statistical machine translation technology. If the meaning of the translation can be roughly understood in a limited field of some specific languages, it can be said that it has not reached the level of correctly expressing the meaning of the original text in all fields of all languages. Computer assisted translation technology has been widely developed as a viable alternative to machine translation. Interactive machine translation technology is one of the feasible models. In order to verify the feasibility of computer-aided translation in foreign language translation, this technology has been widelyused. Optimization algorithm based on human-computer interaction, this paper tests the translation accuracy and speed of computer-aided foreign language translation and traditional translation under different sentences (words, phrases, sentences, paragraphs). The test results show that the translation accuracy of computer-aided foreign language translation optimization algorithm based on human-computer interaction is higher than that of traditional translation under words, phrases, sentences and paragraphs, and the translation accuracy is more than 96%, while the highest accuracy of traditional translation is only 94.38%; In terms of translation speed, human-computer interaction translation is still faster, reaching 4.41 sentences / second. It fully proves the superiority and feasibility of the translation optimization algorithm proposed in this paper.
Research on the Construction of Examination System Based on Cloud Storage in Open Education Environment

The development of 5G technology and the deep integration of deep learning and education have brought technological changes to online education and services of open education. The education type, teaching activities, assessment methods and evaluation process of the open education system mainly rely on the network. Applied science, efficient, safe and fast technical means, based on the authorization mechanism of Cloud storage and blockchain, exploring the construction of an effective examination system in the open education environment and realizing the learning evaluation environment of efficiency priority, fair assessment and process supervision is a feasible way to improve the quality of open education, establish a multi role, multi-level and multi subject compatible examination platform, and build a standardized, long-term and multi-level open education examination management mechanism.
Kemampuan Berbicara Efektif dengan Teknik Bercerita siswa kelas VIII SMP Metta Maitreya Kecamatan Marpoyan Damai Pekanbaru Tahun Ajaran 2020/2021

The purpose of this study is to describe, analyze, interpret and conclude effective speaking skills with storytelling techniques for Class VIII students of SMP Metta Maitreya, Marpoyan Damai District, Pekanbaru in the academic year 2020/2021 systematically so that they can find out the actual objective picture. The theory used in this study is the theory of Hartono 2007. The sample in this study was 62 students. This research method uses a quantitative descriptive method. So overall the ability to speak effectively with storytelling techniques for Class VIII Middle School students Metta Maitreya, Marpoyan Damai District, Pekanbaru in the 2020/2021 school year is categorized as good with an average score of 76.51. The average value assessed from the aspect of reasoning is classified as good, namely 77.02 from 62 students. The average value assessed from the intonation aspect in the good category is 76.61 out of 62 students. So overall the ability to speak effectively with storytelling techniques for Class VIII Middle School students of Metta Maitreya, Marpoyan Damai District, Pekanbaru in the 2020/2021 school year is categorized as good with an average score of 76.51.
TIGTEC: Token Importance Guided TExt Counterfactuals

Counterfactual examples explain a prediction by highlighting changes in an instance that flip the outcome of a classifier. This paper proposes TIGTEC, an efficient and modular method for generating sparse, plausible and diverse counterfactual explanations for textual data. TIGTEC is a text editing heuristic that targets and modifies words with high contribution using local feature importance. A new attention-based local feature importance is proposed. Counterfactual candidates are generated and assessed with a cost function integrating a semantic distance, while the solution space is efficiently explored in a beam search fashion. The conducted experiments show the relevance of TIGTEC in terms of success rate, sparsity, diversity and plausibility. This method can be used in both model-specific or model-agnostic way, which makes it very convenient for generating counterfactual explanations.
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

How can we learn effective node representations on textual graphs? Graph Neural Networks (GNNs) that use Language Models (LMs) to encode textual information of graphs achieve state-of-the-art performance in many node classification tasks. Yet, combining GNNs with LMs has not been widely explored for practical deployments due to its scalability issues. In this work, we tackle this challenge by developing a Graph-Aware Distillation framework (GraD) to encode graph structures into an LM for graph-free, fast inference. Different from conventional knowledge distillation, GraD jointly optimizes a GNN teacher and a graph-free student over the graph’s nodes via a shared LM. This encourages the graph-free student to exploit graph information encoded by the GNN teacher while at the same time, enables the GNN teacher to better leverage textual information from unlabeled nodes. As a result, the teacher and the student models learn from each other to improve their overall performance. Experiments in eight node classification benchmarks in both transductive and inductive settings showcase GraD ’s superiority over existing distillation approaches for textual graphs. Our code and supplementary material are available at: https://github.com/cmavro/GRAD .
SimSky: An Accuracy-Aware Algorithm for Single-Source SimRank Search

SimRank is a popular node-pair similarity search model based on graph topology. It has received sustained attention due to its wide range of applications in real-world scenarios. Considerable effort has been devoted to devising fast algorithms for SimRank computation through either iterative approaches or random walk based methods. In this paper, we propose an efficient accuracy-aware algorithm for computing single-source SimRank similarity. First, we devise an algorithm, ApproxDiag, to approximate the diagonal correction matrix. Next, we propose an efficient algorithm, named SimSky, which utilizes two Krylov subspaces for transforming high-dimensional single-source SimRank search into low-dimensional matrix-vector multiplications. Extensive experiments on various real datasets demonstrate the superior search quality of SimSky compared to other competitors.
Advanced optimization by nature-inspired algorithm

The chapter is used to present a vast collection of nature-inspired algorithms along with their references. This information should be very useful for researchers who can access the details of approximately 200 algorithms in a single place.The chapter also introduces seven recently proposed evolutionary algorithms along with the necessary equations of these methods.
Quantum Key Distribution Protocols Based on Heisenberg’s Uncertainty

The proposed article is devoted to the analysis of quantum key distribution protocols based on the Heisenberg uncertainty. The peculiarity of this topic lies in the fact that modern methods of key distribution, which use classical calculations at their core, have significant drawbacks, in contrast to quantum key distribution. This problem concerns all types of algorithms and systems for encrypting secret information, both symmetric encryption with a private key and asymmetric encryption with a public key. An example is that in a communication channel protected by quantum key distributions, it is possible to detect an interceptor between two legal network entities using the principles laid down in quantum physics at the beginning of the last century. Principles and theorems such as the Heisenberg principle, quantum entanglement, superposition, quantum teleportation, and the no-cloning theorem. The field of study of this topic is a promising and rapidly developing area in the field of information security and information protection. There are already created commercial products with the implementation of some of the quantum key distribution protocols. Many of the created products are used in various spheres of human activity. The relevance of applying quantum key distribution protocols under ideal conditions without taking into account errors in the form of quantum noise is analyzed. The implementation of two quantum key distribution protocols based on the Heisenberg uncertainty principle is demonstrated, as well as the results of the appearance of keys and the probability of occurrence of each of them. The purpose of the article is aimed at analyzing and researching quantum key distribution protocols based on Heisenberg uncertainty. The article discusses the advantages and disadvantages of the BB84, B92 quantum key distribution protocols.
Wired to the World

Having a great deal of electronic content, both created and managed internally by the library and externally by publishers and vendors, is nothing new to the library profession. Yet the art of troubleshooting is something that many librarians must learn on their own or from conversations in the halls of conferences. This short column seeks to share tips and techniques that librarians can use to get started on troubleshooting issues either as a solo endeavor or before escalating to a specialist or third party. It is based on the author’s own experience fixing links, search boxes, and authentication systems, both on the library side as an electronic resources' librarian and now as a library service engineer for EBSCO.
Remediation by Degrees

In 2022, staff at J. Murrey Atkins Library initiated a metadata remediation project project that inserted FAST controlled vocabulary terms for subjects into legacy ETD records in its Niner Commons repository through an automated process and normalized data in other elements, all with a view to improving discoverability and the user experience. This case study describes the stages of the remediation process, the difficulties that were encountered in the course of the work, the results and findings of the project, and the challenges of ETD metadata remediation work in the contemporary institutional repository environment.
Designing a CEFR-Based Reading Worksheet for 7th Grade Students at SMP Muhammadiyah Tilango, Indonesia

Creating an interesting learning tool will help students understand the material. This research is aimed to analyze the students’ needs in reading and develop a reading worksheet based on the Common European Framework of Reference (CEFR) at seventh-grade students’ of SMP Muhammadiyah Tilango. To determine the students’ needs, this research used the theory from Hutchinson and Waters (1987) and the ADDIE model by Tylor (2004) to develop the product. However, this research simplifies the ADDIE model into four steps because of the time limit. This research used observation, questionnaire, document analysis, and expert judgment to collect the data. The design of the product was according to the reading comprehension based on CEFR. In order to test the feasibility of the product, there were two experts as the validator, the first one was the English teacher, and second is the lecturer who has experience in developing a book. Moreover, after the product was validated, then implemented to the students. The result found that 86% of students did not learn English in elementary school and 80,95% never took an English course. Moreover, the students’ needs showed that the reading worksheet they wanted is a worksheet that improves their vocabulary. The product that was already made got 88,6% from the first expert and 94,3% from the second expert, indicating good and eligible. Additionally, 94,6% of the students wanted a worksheet like that. Keywords: Reading, Reading Worksheet, CEFR
Unmasking Cybercriminals: A Comprehensive Analysis of Modern Cyber Crimes

In today's digital world, the Internet is wonderful and liberating, but it also hides a growing threat : Cybercrime. This paper explores cybercrime, the people who commit it, and why they do it. Also I want to discuss in detail the different types of cybercrimes and the challenges in preventing and investigating them. To protect ourselves, we need to be aware of cyber threats, use strong passwords, and keep our software updated. In this dynamic online world, understanding cybercrime and practicing good cybersecurity is the key to keep ourselves and our information secure.
Dosis Koagulan Optimum pada Proses Koagulasi Flokulasi Menggunakan Koagulan Serbuk Biji Hanjeli dalam Menurunkan Kekeruhan

One of the methods in post-disaster water treatment is coagulation-flocculation. Hanjeli seeds are a natural coagulant material that can be used. This study was conducted to determine the effect of the dose of hanjeli seed powder coagulants and pH in reducing turbidity in the coagulation-flocculation process in water. Initial turbidity (50 and 75 NTU) and pH of artificial raw water (8,9), the number of water samples is 200 ml, the coagulation speed is 50 rpm for 90 seconds, and the flocculation is 50 rpm for 25 minutes, and the deposition is 60 minutes. Influence analysis is using R Studio software. The method in the process of making natural coagulants from Hanjeli seeds is Sun Drying, and it is sifted with 80 mesh. The coagulant of hanjeli seed powder can reduce turbidity in water with the highest elimination efficiency value of 96%, whose final turbidity value is 3.74 NTU. The optimum dose is obtained at 300 ppm, while the optimum pH is 4. Keywords: coagulation, dose, flocculation, hanjeli, turbidity ABSTRAK Salah satu metode dalam pengolahan air pascabencana adalah koagulasi flokulasi. Biji Hanjeli merupakan bahan koagulan alami yang dapat digunakan. Penelitian ini dilakukan untuk mengetahui pengaruh dosis koagulan serbuk biji hanjeli dan pH dalam menurunkan kekeruhan pada proses koagulasi-flokulasi dalam air. Kekeruhan awal (50 dan 75 NTU) dan pH air baku buatan (8,9), jumlah sampel air 200 ml, kecepatan koagulasi 50 rpm selama 90 detik, dan flokulasi 50 rpm selama 25 menit, dan pengendapan adalah 60 menit. Analisis pengaruh menggunakan software R Studio. Metode dalam proses pembuatan koagulan alami dari biji Hanjeli ini adalah Sun Drying, dan diayak dengan ukuran 80 mesh. Koagulan bubuk biji hanjeli dapat menurunkan kekeruhan pada air dengan nilai efisiensi penyisihan tertinggi sebesar 96%, dengan nilai kekeruhan akhir sebesar 3,74 NTU. Dosis optimum diperoleh pada 300 ppm, sedangkan pH optimum adalah 4. Kata kunci: koagulasi, dosis, flokulasi, hanjeli, kekeruhan
Unsupervised Learning Methods for Topic Extraction and Modeling in Large-scale Text Corpora using LSA and LDA

This research compares unsupervised learning methods in topic extraction and modeling in large-scale text corpora. The methods used are Singular Value Decomposition (SVD) and Latent Dirichlet Allocation (LDA). SVD is used to extract important features through term-document matrix decomposition, while LDA identifies hidden topics based on the probability distribution of words. The research involves data collection, data exploratory analysis (EDA), topic extraction using SVD, data preprocessing, and topic extraction using LDA. The data used were large-scale text corpora. Data explorative analysis was conducted to understand the characteristics and structure of text corpora before topic extraction was performed. SVD and LDA were used to identify the main topics in the text corpora. The results showed that SVD and LDA were successful in topic extraction and modeling of large-scale text corpora. SVD reveals cohesive patterns and thematically related topics. LDA identifies hidden topics based on the probability distribution of words. These findings have important implications in text processing and analysis. The resulting topic representations can be used for information mining, document categorization, and more in-depth text analysis. The use of SVD and LDA in topic extraction and modeling of large-scale text corpora provides valuable insights in text analysis. However, this research has limitations. The success of the methods depends on the quality and representativeness of the text corpora. Topic interpretation still requires further understanding and analysis. Future research can develop methods and techniques to improve the accuracy and efficiency of topic extraction and text corpora modeling.
A Study for the Determinants of Job Satisfaction in Low Cost Carriers

The aim of this research is to explore the antecedents of job satisfaction in the domain of low-cost carriers regarding the labor intensive characteristics of the business. As for the determinants of job satisfaction, this study chose salary, interaction with customer, and organizational transparency. This study collected the data using an online survey. The survey participants were employees in low-cost carriers. The number of valid observations is 208. For the data analysis, this research used exploratory factor analysis, correlation matrix, and multiple linear regression analysis. The results disclosed that job satisfaction of employees in low-cost carriers is positively influenced by salary, interaction with customer, and organizational transparency. This research sheds light on the literature by scrutinizing influential attributes of job satisfaction of employees in the case of low-cost carriers. This study documents the information for human resource management in the area of low-cost carrier businesses.
Pendekatan deadification dan pemanfaatan thymolvapor dalam Sistem Administrasi Pengelolaan dan Perawatan Aset Sekolah

This study aims to determine the ability of teachers to maintain school assets in the form of teaching materials. Teaching materials are learning resources that need to be preserved in quality to have a longer lifespan. Wellmaintained and managed teaching materials will always be clean and can be returned to the school library in good condition, making the administrative management easier. This study is directed towards teachers who directly utilize teaching materials, thus making them responsible for the sustainability of these teaching materials. Respondents come from rural teachers, but in reality, they have easy access due to the good quality of infrastructure and internet network, resulting in no significant obstacles in obtaining information about the deadification and utilization of thymolvapor on teaching materials. Similarly, the presence of ventilation and room cooling equipment is available in classrooms, meeting the requirements. The conclusion drawn is that there has been no effort in the deadification and utilization of thymolvapor on teaching materials due to the lack of knowledge about its proper usage. Therefore, efforts are needed, such as developing a brochure containing information about the importance of preserving teaching materials as school assets.
Contrastive Analysis: Intentional Modality of Indonesian and Japanese

The objective of this study is to provide a comprehensive description of the modality of Indonesian Intentional and Japanese Intentional modality. Intentional modality refers to a linguistic modality that is employed to convey expressions of desire, hope, request, or requirement. The Indonesian intentional modality and Japanese intentional modality exhibit numerous distinctions, which can pose challenges for learners of both languages. The next section provides an overview of the backdrop for this research study. This study employed a descriptive methodology to systematically examine data in order to identify and delineate similarities and differences between the two variables. The intentional modality data for the Indonesian language was obtained from Indonesian language textbooks designed for elementary level I and II foreign speakers, which were published by INCULS, Faculty of Humanities, Gadjah Mada University. Similarly, the intentional modality data for the Japanese language was extracted from the books titled "Minna No Nihongo Shokyuu I and II."
Difficulties in Comprehending Japanese Fukugoudoushi of the Japanese Language Learners from Indonesia

Compound verbs, or Fukugoudoushi in Japanese, are unique verbs formed by combining two or more verbs or free morphemes. The Japanese language has around 2,700 compound verbs used daily. According to Morita (1991)'s survey in "Reikai Kokugo Jiten," 11.4% of the documented words are verbs, with compound verbs accounting for 39.29%. Compound verb proficiency presents three hurdles, according to Matsuda (2004). These problems include comprehending the variables that control compound verb combination, distinguishing the nuanced meaning differences between single and compound verbs, and designing effective learning strategies to help achieve compound verb acquisition. In this study, researchers used written assessments, questionnaires, and interviews to determine the factors that affect Fukugoudoushi comprehension and how to remedy them. According to test results, students' difficulty understanding compound verb semantics can be categorized into the following categories:1) Compound verbs encompassing acquired and unacquired information. 2) Verb compounds with different frequency in spoken and written language. 3. Compound verbs for physical or intangible notions. The methods for understanding compound verbs are: Three compound verb interpretation strategies exist. First, understand each verb individually, starting with 1 and then 2. The noun nearest to a compound verb might also indicate its meaning. The second way to interpret compound verbs is to look at the sentence as a whole. Finally, the third method infers compound verb meanings from known verbs.
Semantic Preference of the Word Okaa-san and Mama in Tsukuba Web Corpus: A Corpus Linguistic Analysis

The use of loanwords is common in Japanese people's daily lives, such as the use of'mama' as a term for mother rather than 'okaa-san'. Using corpus linguistic analysis, this study sought to discover how okaa-san and mama are discussed in Japanese society on the internet. The mixed technique was utilized in this study, with collocate strength calculated using MI Score and subsequently categorized by using USAS semantic categories. It was discovered that the phrase okaa-san is usually used to refer to social activities, states, and processes such as the tight relationship between mother and kid. Meanwhile, the term mother is used to refer to emotional behaviors, states, and processes.