Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF MODERN TECHNIQUES FOR SOFTWARE OPTIMIZATION﻿

Traditional Methods of optimization have failed to meet up the rapid changing world in the demand of high quality and accuracy in solution delivery. Optimization literally means looking for the best possible or most desired solution to a problem. Optimization techniques are basically classified into three groups, namely; the Traditional Method, Artificial Intelligent Method, and Hybrid Artificial Intelligent technique. In this paper, an attempt is made to review literatures on different modern optimization techniques for application in various disciplines. A general review was made on some of the modern optimization methods such as Genetic Algorithm, Ant colony method, Honey Bee optimization method, and Simulated Annealing optimization.
Blockchain based Digital Storage System

The ideа is tо соnstruсt а рlаtfоrm whiсh аllоw the рeорle tо stоre their legаl identifiсаtiоns withоut the feаr оf identifiсаtiоn theft. The рeорle using this рlаtfоrm will hаve соmрlete соntrоl оn the infоrmаtiоn they wаnt tо shаre оr nоt. Identity theft is the deliberаte use оf sоmeоne else's identity, usuаlly аs а methоd tо gаin а finаnсiаl аdvаntаge оr оbtаin сredit аnd оther benefits in the оther рersоn's nаme, аnd рerhарs tо the оther рersоn's disаdvаntаge оr lоss. The рersоn whоse identity hаs been аssumed mаy suffer аdverse соnsequenсes, esрeсiаlly if they аre held resроnsible fоr the рerрetrаtоr's асtiоns. Identity theft оссurs when sоmeоne uses аnоther's рersоnаlly identifying infоrmаtiоn, like their nаme, identifying number, оr сredit саrd number, withоut their рermissiоn, tо соmmit frаud оr оther сrimes. Identity thefts hаve inсreаsed exроnentiаlly in this erа оf digitаlizаtiоn. Using this рlаtfоrm, nоt оnly the рeорle will hаve best in сlаss рrоteсtiоn but аlsо full аuthоrity оn whаt infоrmаtiоn shоuld be shаred аnd оn whiсh рlаtfоrm.
A Decade in Review: An Exploration of the Level of Analysis and the Subjects for Information Systems Security (ISS) Research

Information System Security (ISS) research has been identified as an area that IS researchers can and should contribute to. Our research in this area, however, may not yet demonstrate an ability to do better than experts and professionals in the field. This paper explores the last decade of ISS research across a selected basked of journals to determine how ISS research is continuing to fit into the broader base of IS topics. Additionally, we seek to explore the level of analysis and the subjects sampled with a focus on the role of students with respect to quality and generalizability. Finally, we look to better understand the role of the artifact in this research, and the types of artifacts that researchers are focusing on. We find that with a nearly 200% increase in ISS articles over the prior decade, with a strong focus on individuals and the firm/organization, that ISS research is an increasing and thriving area of IS research.
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation

This paper describes the system of the Cambridge team submitted to the SemEval-2021 shared task on Multilingual and Cross-lingual Word-in-Context Disambiguation.Building on top of a pre-trained masked language model, our system is first pre-trained on out-ofdomain data, and then fine-tuned on in-domain data.We demonstrate the effectiveness of the proposed two-step training strategy and the benefits of data augmentation from both existing examples and new resources.We further investigate different representations and show that the addition of distance-based features is helpful in the word-in-context disambiguation task.Our system yields highly competitive results in the cross-lingual track without training on any cross-lingual data; and achieves state-of-the-art results in the multilingual track, ranking first in two languages (Arabic and Russian) and second in French out of 171 submitted systems.
THE COMPARISON OF THE IMPERFECT JAVANESE LANGUAGE ABILITY IN THE 10 – 11 YEARS OLD BOYS AND GIRLS IN KENDAL CENTRAL JAVA

The use of Javanese language by 10 - 11 years old children in Kendal Central Java experienced some imperfection especially from the diction, grammatical, and semantic aspects. This research took the sample from 5th grade children in SDN 3 Kutoarjo, Kendal Central Java. This research used qualititave method by describing the language aspects which were resulted by the 5th grade children in oral story by using pictorial media. The analytical technique in use was direct method which was the direct analysis on language aspects such as vocabularies, grammatical, and its meaning. The data collection was collected by recording, listening, and taking note in order to collect the representative data. According to some analysis , it could be known that in javanese language ability by the 10 to 11 years old children frequently did the imperfection, especially in vocabulary, grammatical, and meaning aspects.
Application of K-Means Clustering Algorithm in Grouping Inventory Data at Putra Shop

Putra Mart store is one of the supermarkets in Bintuhan City., on Jl. South Kaur Cold Water. Putra shop is one of the shops engaged in supplying goods to small shops in Bengkulu City. The goods supply system at Toko Putra still uses a manual system in recording data, both data on availability of goods, data for store partners, and data on supply of goods to store partners. To help increase the supply of goods at Toko Putra, there needs to be an application that can determine what items should be in Toko Putra by looking at transaction data for supply of goods to store partners. Determination of stock of goods is done by grouping data on supply of goods through 2 groups, namely large groups and small groups. The application for grouping supply data at Toko Putra was created using the Visual Basic .Net programming language and SQL Server 2008 database by applying the K-Means Clustering Method. The grouping is done based on data on supply of goods per year obtained from Toko Putra. The application is able to analyze goods supply data by producing 2 clusters, namely Many and Few through the K-Means Clustering method approach. In addition, the results of this grouping can help the Putra Shop in managing inventory at the Putra Shop by looking at the results of the clustering that has been done. Based on the results of the tests that have been carried out, the application for grouping data on supply of goods at Toko Putra can provide information based on 2 groups, namely many and few. From the supply data in 2020, the results obtained are Cluster C1 as many as 4 and Cluster C2 as many as 13
Pengembangan Panduan Layanan Bimbingan Kelompok untuk Meningkatkan Kebermaknaan Hidup Siswa dalam Pencegahan Penyalahgunaan Narkoba

The increasing problem of drug abuse among vocational high school students is more worrying. The one that causes drug abuse happen is low meaning of students’ life. The increasing of the meaning of students’ life in drug abuse prevention can be done through group guidance service that held by counseling teachers use the appropriate media and material. This research is development research with the ADDIE model (Analyze, Design, Development, Implementation and Evaluation). The research subject is the vocational high school students and the counseling teachers at school. Validation guide is six experts who validated service guidelines about the material and the display of service guide, the usability test was done by three counseling teachers as well. Data analysis used is descriptive analysis to describe the data about meaning students’ of life in drug abuse and qualitative data analysis to portray the compliance of group guidance for increasing the meaning of students’ life in drug abuse prevention and non-parametric with coefficient statistical test by Kendall (W). The results of the research show that: (1) the level of the meaning of students' life in drug abuse prevention tends to be low, (2) the implementation of group guidance is still limited to overcome the problem of drug abuse, counseling teachers are not skilled yet at compiling the guidelines as a media for group guidance services to increase the meaning of students' life in preventing the drug abuse, (3) the\ level of material appropriateness is in the very feasible category with a percentage of 92% and the appearance of the guide is in the very feasible category with a percentage of 92%, the level of guide use by counseling teachers is in the very good category with a percentage of 87%. There is a significant increase in the meaning of students' life in preventing drug abuse after the implementation of the guidelines, it means that these guidelines can be used by counseling teachers as the material for implementing group guidance services to increase the meaning of students' life in preventing drug abuse.
Research on the Design of Disaster Prevention Plan for 22km Ultra-long Highway Tunnel with Multiple Intersections

The Tianshan Shengli Tunnel is currently the longest high-altitude highway tunnel. In order to ensure the safe operation of the tunnel, the SES software is used to investigate the wind speed laws in the tunnel, and the tunnel is divided into 16 disaster prevention sections based on the shaft and critical wind speed. The principles of disaster prevention and rescue of Tianshan Shengli Highway Tunnel are given, and the emergency treatment process of tunnel disaster prevention and rescue is given. The disaster prevention and rescue plan of Tianshan Shengli Tunnel from fire occurrence, personnel and vehicle evacuation, and fire treatment are discussed in detail.
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation

Most of the existing information extraction frameworks (Wadden et al., 2019; Veysehet al., 2020) focus on sentence-level tasks and are hardly able to capture the consolidated information from a given document. In our endeavour to generate precise document-level information frames from lengthy textual records, we introduce the task of Information Aggregation or Argument Aggregation. More specifically, our aim is to filter irrelevant and redundant argument mentions that were extracted at a sentence level and render a document level information frame. Majority of the existing works have been observed to resolve related tasks of document-level event argument extraction (Yang et al., 2018; Zheng et al., 2019) and salient entity identification (Jain et al., 2020) using supervised techniques. To remove dependency from large amounts of labelled data, we explore the task of information aggregation using weakly supervised techniques. In particular, we present an extractive algorithm with multiple sieves which adopts active learning strategies to work efficiently in low-resource settings. For this task, we have annotated our own test dataset comprising of 131 document information frames and have released the code and dataset to further research prospects in this new domain. To the best of our knowledge, we are the first to establish baseline results for this task in English. Our data and code are publicly available at https://github.com/DebanjanaKar/ArgFuse.
Condition of Paragraph Writing Skills in Private Sector Schools of Islamabad at Primary Level

The major objective of this research was to find the Condition of paragraph writing skills in private school of Islamabad at primary level.The design of this study was a survey to assess the paragraph writing skills of students of Grade 3 in private schools.Grade 3 students of a private school were selected for this research.Nine boys and eight girls were selected as sample.During survey, the students were asked to select any four topics and write a paragraph on them.They were given the time of 90 minutes to complete this task.The data analysis was done by the software SPSS 22.The reliability of test was determined by reliability analysis.The scoring rubrics
Secure Multi-keyword Similarity Search Over Encrypted Data With Security Improvement

Searchable encryption (SE) is an interesting tool that enables clients to outsource their encrypted data into external cloud servers with unlimited storage and computing power and gives them the ability to search their data without decryption. The current solutions of SE support single-keyword search making them impractical in real-world scenarios. In this paper, we design and implement a multi-keyword similarity search scheme over encrypted data by using locality-sensitive hashing functions and Bloom filter. The proposed scheme can recover common spelling mistakes and enjoys enhanced security properties such as hiding the access and search patterns but with costly latency. To support similarity search, we utilize an efficient bi-gram-based method for keyword transformation. Such a method improves the search results accuracy. Our scheme employs two non-colluding servers to break the correlation between search queries and search results. Experiments using real-world data illustrate that our scheme is practically efficient, secure, and retains high accuracy.
Assistive technologies in the library: world research trends

Scientific topicality. Use of the digital technologies and devices that are designed and adapted for people with special needs removes physical and mental barriers. This allows them better integrate into society and be more financially independent. National Strategy for Space without Barriers is being developed in Ukraine now. Therefore, the study of global trends in this area is relevant.&#x0D; The purpose of the article is to analyze the latest researches on the implementation of assistive technologies in libraries and identify trends in theoretical and practical achievements in the world.&#x0D; Presentation of main material. After analyzing the articles of leading librarians, the main aspects for research by scientists were highlighted:&#x0D; &#x0D; Development of general requirements, criteria and approaches for government programs for the introduction of assistive technologies and ensuring access without barriers.&#x0D; Studying the activities of university libraries in the process of using assistive technologies.&#x0D; The use of assistive technology in public libraries.&#x0D; Research on assistive technologies in library sites — the extent to which libraries are technically accessible for remote service and user education, including the one for people with special needs.&#x0D; Research on the necessity and effectiveness of the use of assistive technologies among users with special needs in libraries using the method of interviewing.&#x0D; &#x0D; Findings. The analysis of publications shows that the attention of scientists is directed to finding solutions for the availability of libraries through the introduction of assistive technologies.&#x0D; Practical significance. The selection and analysis of foreign publications will help in the selection of techniques, methods and tools for the implementation of assistive technologies in the libraries of our country.
Analysis of Random Forest, Multiple Regression, and Backpropagation Methods in Predicting Apartment Price Index in Indonesia

This study focuses on predicting the apartment price index in Indonesia using property survey data from Bank Indonesia. In the era of the Covid-19 pandemic, accurately predicting the sale and purchase price of apartments is essential to minimize the impact of losses, thus making apartment prices attractive to predict. The machine learning approach used to predict the apartment price index are the Random Forest method, the Multiple Regression method, and the Backpropagation method. This study aims to determine which method is more effective in predicting small amounts of data accuracy. The data used is apartment price index data from 2012 to 2019 in the JABODEBEK area. The research will produce prediction accuracy that will determine the effectiveness of the application of the method. The Random Forest method with parameters n_estimators=100 and max_features=â€log2â€ produces an R2 accuracy of 0.977. The Multiple Regression method with a correlation between the selling price and rental price variables is 0.746, and the rental inflation variable is 0.042 produces an R2 accuracy of 0.559. The Backpropagation method with a 1000-4000-1 hidden scheme and 20000 iterations produces an R2 accuracy of 0.996. Therefore, the Backpropagation method is more suitable in this study compared to the other two methods. The Backpropagation method is suitable because it gets almost perfect accuracy, so this method will minimize losses in investing in buying and selling apartments in the Covid-19 pandemic era.
Cloud Based Application for Prediction of Natural Disasters

Natural disasters are very dangerous and occurs common throughout the world, Natural disasters often result in injuries, damages and the other physical &amp; mental health effects in India, detection has been one of the most active research in remote sensing today because of saving human life is our priority once a disaster occurred. Disaster leads to a great damage to the society. Artificial Intelligence can be used to analysis the data which can be used in prediction of warning for future events &amp; create awareness for the situation. In Machine learning concept of random forest regression is used so that it can predict accurate result compare to other modules based on the result we have proposed the model for natural disasters detection to early saving life for humans/animals
SISTEM INFORMASI PERPUSTAKAAN PADA SMP NEGERI 1 PURBA

Information systems are needed in the library to support knowledge, insight, and information for students and for teachers in schools in supporting the teaching and learning process in schools. This information is data that is processed into a form that is more useful and more meaningful to those who receive it. The design and manufacture of a web-based library information system at SMP Negeri 1 Purba is an element that can influence the operational tasks of the school. Information that is less fast, less accurate, and less efficient can be solved by implementing this system, it is very necessary for libraries to help the performance of data management and transactions that take place in the library. The library is one of the work units in the form of a place to collect, store, manage and organize a collection of library materials systematically to be used by users as a source of information as well as a fun learning tool. The author's goal is to make it easier to borrow books that are done with this system through a computer so that if there is a lack of accuracy that can hinder the smooth activities of the library, it can be overcome.
Sistem Integrasi BOT Register Terhadap Website Pengolah Data Menggunakan Akses NGROK

This information system is based on a website that functions as a data processor obtained from the bot register. The integration of the system uses NGROK access which can unify local public access routes or in one go. The use of XAMPP as a web server can support the use of NGROK. NGROK server has a time duration in one use, which is about 8 hours. Users will get a domain URL when accessing NGROK. This domain URL is so unique that each session will change. The case study we are using leads to the registration system for new members of the East Java Veteran UPN robotics community, which so far still uses Google Form as a means of registering and spreadsheets as data storage media. The need for an innovation which can simplify work, especially during the Covid-19 period, therefore we created an innovation in the form of a bot register that can integrate with the website through NGROK access combined with the MySQL Local Database so that this software is expected to provide access registration directly without having to fear data loss and can also provide secure data management.
STUDENTS’ PERCEPTION ON THE USE OF JOHNY GRAMMAR’S WORD CHALLENGE APPLICATION IN LEARNING PREPOSITIONS

The main problem of this study is “What were the eleventh grade students’ perception on the use Johnny grammar’s word challenge application in learning prepositions and the impact of Johnny grammar’s word challenge application the eleventh grade at PGRI Vocational High School 2 of Palembang?”. This study aimed to investigate the eleventh grade students’ perception on the use Johnny grammar’s word challenge application in learning prepositions at PGRI Vocational High School 2 of Palembang . This data acquired from questionnaires based on four indicators, this research used a descriptive qualitative method in this study. Based on the achievement of the questionnaire, it can be concluded that all indicator high category shows that amounts to 9 (16.36%) students which means the students have comprehension ability is fair, the indicator medium category shows that amounts to 41(74.54%) students which means all of the students understand Johnny Grammar’s Word Challenge Application and the low category shows that amounts to 11 (20%) students which means the students half of them can not able to understand Johnny Grammar’s Word Challenge Application. So, it can be concluded that using Johnny Grammar’s Word Challenge Application can help students learn prepositions
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables

Question answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding.Existing research mainly focuses on understanding contents from unstructured evidence, e.g., news, natural language sentences, and documents.The task of verification from structured evidence, such as tables, charts, and databases, is still less explored.This paper describes sattiy team's system in SemEval-2021 task 9: Statement Verification and Evidence Finding with Tables (SEM-TAB-FACT).This competition aims to verify statements and to find evidence from tables for scientific articles and to promote the proper interpretation of the surrounding article.In this paper, we exploited ensemble models of pre-trained language models over tables, TaPas and TaBERT, for Task A and adjust the result based on some rules extracted for Task B. Finally, in the leaderboard, we attain the F1 scores of 0.8496 and 0.7732 in Task A for the 2-way and 3-way evaluation, respectively, and the F1 score of 0.4856 in Task B.
SISTEM INFORMASI PELAYANAN KELUARGA BERENCANA KAMPUNG KB BERBASIS WEB PADA DINAS PENGENDALIAN PENDUDUK DAN KB KABUPATEN ALOR

In the success of the KKBPK program, competent program managers are needed, and can utilize technology properly to support the implementation of the program, especially in managing a complete, structured, and transparent information system to service officers and also the community so that the need for information is needed by every party involved. interested parties can be fulfilled properly, completely, quickly. The purpose of this research is to build a Web-Based Information System for Family Planning Services at the Alor District Family Planning and Family Planning Service to make it easier for family planning field officers (PLKB) to convey all information and activities for family planning services. The method used for designing this system is the waterfall method. The results to be achieved through the Web-Based Kampung KB Family Planning Service Information System are to make it easier for family planning field officers to convey all information and family planning service activities carried out to all service users, both service officers and the general public.