Reviewerly/exHarmony huggingface dataset:
Named entity extraction from images using natural language processing pipelines

Named entity extraction is the process of extracting a specific entity or a piece of information from a bunch of text or an image where a lot of text has been mentioned. For example, identifying the name of a candidate from a resume or picking out the name of a cereal brand from its box. Technologies like optical character recognition and named entity recognition have been widely used in their respective fields of applications. Both of these technologies can be combined to form a pipeline in which we can extract a particular word using named entity recognition from the output digitized text from the optical character recognition system. The combined models and their use cases will be discussed in this paper. The implementation on the drug strips and their various applications both in consumer as well as retailer sub sections will be mentioned. Models and their improvements with recent and concurrent published papers will be discussed.
Correction to: Familiarization Strategies to Facilitate Mobile-Assisted Language Learning in Unfamiliar Learning Environments: A Study of Strategies Development and Their Validation

In an older version of this paper, there was error in the author name, “Fayziev Mirzaali” was incorrect. This has been corrected to “Mirzaali Fayziev”.
The Effectiveness of Cooperative Learning of Assisted Media Integrated Reading and Composition Cergam on Skills Reading Understanding

This study aims to determine the effectiveness of the cooperative integrated reading and composition learning model assisted by CERGAM media on the reading comprehension skills of grade II students in Gunungpring Village, Muntilan District. This research is an experimental research with a design (One Group Pretest-Posttest). The samples taken for this study were 15 second grade students in Gunungpring Village, Muntilan. The sampling technique used is a saturated sample. The method of data collection was done by using a test in the form of a multiple choice test. Test the validity to measure the questions pretest and posttest using Product Moment, reliability using Cronbach's Alpha. The data analysis technique in this study used the normality test using the Shapiro-Wilk and the hypothesis using the Wilcoxon test with the help of the IBM SPSS version 25.00 program for windows. The results showed that cooperative integrated reading and composition learning assisted by CERGAM media had a positive effect on the second grade students' reading comprehension skills. This is evidenced by the results of the hypothesis test of data analysis on pretest and posttest questions related to fable material using the Wilcoxon Test with results showing that the Z value obtained is -3.413b with Asymp Sig. 2 tails of 0.001. The results of this study can be concluded that the use of a cooperative integrated reading and composition model assisted by comic media has a positive effect on reading comprehension skills.
An artificially intelligent machine for answer scripts evaluation during pandemic to support the online methodology of teaching and evaluation

The existing, widely used manual assessment methods are time-consuming and cumbersome. The grading system can also be biased by the instructor. Given the pandemic, it is very essential to have an online assessment system to support online education. Hence, an automatic evaluation scheme is very essential. The available automatic assessment systems focus primarily on question papers with objective schemes. With the proposed system we try to achieve a quicker and non-biased system for evaluation. This is a framework for the automatic assessment of descriptive answers using Natural Language Processing (NLP) techniques.
A blockchains security architecture for confidential applications

Blockchain technologies have been prominent due to their unique functionality. Blockchains are layered networks in which the secret to their effectiveness is stability. Blockchains were originally suggested as open cryptocurrencies but were still desirable for other implementations because of their features. A distributed consensus protocol offering resilience to errors provides Blockchains with decentralization. The members are generally equal, and there is no jurisdiction of any particular organization. The key goal of this paper is to systematize details on blockchains’ protection and privacy concerns. In this regard, we suggest a protection architecture based on models that display the stacked hierarchy of different threats and danger estimation. We are focused on categorizing protection vulnerabilities depending on their sources and the design suggested compared to the previous surveys. We are presenting current preventive and mitigation strategies. The focus of our work encompasses facets of the design of blockchains primarily, although only tangentially do we discuss organizational safety concerns and initiatives.
MODERN OBJECTIVES OF UNIVERSITY DEVELOPMENT

This article describes the difference between University 1.0 and University 3.0, models of transition to University 3.0 and their criteria, as well as the importance and goals of the development of University 3.0.
Application of Financial Reports on Frozen Food SMEs Using Linear Sequential

Planning in managing finances is needed by SMEs in order to be able to overcome a financial problem in everyday life. The existence of a financial report application no longer records in a book or paperless without the need to flip through the financial report book again to take notes. This financial report application provides a better overview and control of financial management, income, and life in general financially and provides information and meets the needs of financial management in SMEs in their operational activities. This study uses the method of a linear sequential development model, an approach to systematic and sequential software development that starts at the system level and progresses through analysis, design, coding, testing, and maintenance. As a result, web-based financial report applications can make it easier to provide information to the finance department. The financial report application works well in searching for money recording data and also in presenting information easily. Facilitates the process of processing financial records and making financial reports. The application is made web, so that in running this application the user requires a web browser.
Pelatihan Aplikasi CorelDRAW Siswa SMK Cakra Kusuma Desa Rejoagung Kecamatan Ngoro Kabupaten Jombang

The purpose of this community service activity is: to provide training on graphic design applications using the CorelDRAW application where now a person is expected to have soft skills in any field. This training was held at the Cakra Kusuma Vocational School in Jombang Regency. It is hoped that this training will help Cakra Kusuma Vocational High School students with multimedia expertise get the supplies to enter the industrial world and be able to use the CorelDraw application. The method of community service is based on training, giving lectures directly on the tools in the CorelDraw application and also doing practical work on making stamp logos and certificates for an agency or company. The results of this training based on a questionnaire distributed to participants showed that 77% of students already knew what CorelDRAW was but to use graphic design applications they rarely or occasionally used it.
Changes of Japanese Majors’ Learning Motivation from the Perspective of New Liberal Arts

The purpose of this paper is to explore the changes in the motivation of Japanese majors with a view to finding ways to improve the quality of foreign language education. Based on the field investigation results of Japanese majors and students from Grade One to Grade Three in Tianjin Foreign Studies University, this paper tries to explain the reasons why students keep and change their learning motivation, and then explore a new mode of teaching support service for Japanese majors from the perspective of new liberal arts, to provide a scientific basis for improving the quality of foreign language education for majors in universities. The following conclusions are drawn through the statistics and analysis of the survey results. First, from the source of students, non-university areas, the proportion of non-urban students than the same survey rate. Second, the students learning motivation has changed from the subjective perceptual motivation such as the simple interest and longing for the Japanese language and Japanese social culture to the rational motivation dominated by the objective aspirations such as the study of the Japanese language and the acquisition of interests. Thirdly, the concept of university education and teaching and educational resources and services are the influencing factors of students’ motivation to keep. Fourthly, it is essential to strengthening the teaching of basic Japanese and cross-cultural communication in the context of globalization of higher education.
Development of Persuasive Speech Text Materials Assisted by Podcast Media for Class IX Students of Nurcahaya Medan Private Junior High School

This study aims to produce a persuasive speech text material product with the help of podcast media for class IX students of SMP Swasta Nurcahaya Medan, to determine the feasibility of persuasive speech text material assisted by podcast media for class IX students of SMP Swasta Nurcahaya Medan, and the effectiveness of persuasive speech text material assisted by podcast media.for grade IX students of SMP Private Nurcahaya Medan.In research and development methods there are several types of models.The model used in this research is the Research and Development (R&D) Borg & Gall.The results of the study show that: (1) validation from material experts includes, content eligibility 96.87% in the very good category, the feasibility of presenting 91.6% in the very good category and the feasibility of language 90.62% in the very good category.(2) The results of the validation of the media design experts were stated to be very good with the percentage of skill feasibility assessment aspects on average 93.18%.The aspect of assessing the feasibility of the program with a presentation of 92.5 with a very good category, and (3) the effectiveness of learning materials through student learning outcomes in the pretest and posttest.The average score at the pretest is 58.90 and at the posttest 88.90.The difference obtained is 30.It can be concluded that learning using persuasive speech text materials assisted by podcast media can improve student learning outcomes.
ANALISIS SISTEM INFORMASI AKUNTANSI PERSEDIAAN BAHAN BAKU DALAM KELANCARAN PROSES PRODUKSI DI MASA PANDEMI

Accounting information system or (AIS) is a system designed to collect and display accounting information so that accountants and company executives can make appropriate decisions and have the aim of processing evidence of recording and reporting all information related to all financial transactions, documents or accounting records. There are several important functions in a working group on accounting information systems, including: storing and collecting data about work activities. Not only that, the information system can also be used to process and transact data into information that can be used to properly control and process decisions related to assets in the organizational system. Omah Teh Nganjuk business which is located on Jl. WR Supratman No.6, Mangundikaran, Mangun Dikaran, Kec. Nganjuk, Nganjuk Regency is the object that we choose in this research. Omah Teh Nganjuk is a family business brand engaged in packaged food and ready-to-drink beverages. Nganjuk tea is an herbal tea made from black tea, green tea, roselle flowers and jasmine flowers which are mixed and combined to make fresh drinks and are useful for health. This study aims to provide information about the accounting information system for raw materials inventory in the Omah Teh Nganjuk business. This research uses qualitative research methods, for data analysis techniques using descriptive analysis with a qualitative approach. Data collection techniques in conducting this research are interviews and observations. Based on the results of the analysis, the implementation of the accounting system for Omah Teh Nganjuk's raw material inventory is very good. The method of determining the cost or inventory cost can also be applied to the company, by choosing the first-in, first-out method. In the smooth production contained in the raw material inventory system in the Omah Teh Nganjuk business, more emphasis is placed on physical inventory counting in order to be able to make fictitious records on the warehouse book, with the separation of functions it can also speed up the production process
AI based offline handwritten text recognition system

Despite advances in technology Handwritten text is still considered as a method for correspondence and recording data in everyday life. Offline handwritten text recognition is an infamously challenging problem in Artificial Intelligence. Recent studies show great potential of Neural Networks for handwritten text recognition segmented at word level. In this paper, a prototype is presented for offline handwritten text recognition using deep neural networks. Preprocessing techniques like data augmentation and line-level segmentation enrich the input images and hence benefits the classifier. The proposed approach performs thorough feature engineering on preprocessed input images and propagates them through a three layered architectures comprising of CNN (Convolutional Neural Network), LSTM(Long Short Term Memory) and CTC(Connectionist Temporal Classification).
THE EFFECTIVENESS OF POSTERS ON INCREASING KNOWLEDGE OF THE DANGERS OF SMOKING IN SDIT AL MUDDATSIRIYAH STUDENTS

This study aims to determine the effect of the use of poster media on increasing the knowledge of students of SDIT Al Muddatsiriyah. The study population was fifth-grade students of SDIT Al Muddatsiriyah. This type of research is an experiment using one group pretest-posttest with a sample of 90 respondents. The sampling technique used is saturated sampling. The t test results show the sign value. (2-tailed) equal to 0.000 0.05, which means t count from t table. Thus, there is a difference between before and after the treatment on the use of posters, H0 is rejected and H1 is accepted. It is known that the value before being given health literacy is equal to 32.56 and after being given treatment, the knowledge of students towards the dangers of cigarettes increases as much as 38.26. It can be said concluded that the media poster can increase students' knowledge about the dangers of smoking.
Forecasting system of sales and amount of freshwater fish supply using the trend moment method

UPTD Ngrajek as a provider of freshwater fish in Muntilan, Kab. Magelang serves an average of 150,000 fish per month from tilapia, carp, tawes, catfish, catfish and carp. So, we need a system that can predict the amount of supply and demand for freshwater fish to minimize stock shortages. The Trend Moment method is used because of the advantages of using historical data that is not even or odd. The results of the application of the Trend Moment method in the forecasting system with data from December 2018 - May 2021, it is known that the error value using the MAPE test is 19.11%. This value indicates that the forecasting results on the system are good. In testing the system using alpha testing (blackbox method) and beta testing (questionnaire). 20 respondents stated that the system is easy to operate (81%), easy to transact (98%). complete information (84%), complete features (73%), forecasting information (89%), user friendly (56%), and effective (80%).
Consumer Education as a Strategy for Sustaining Human Rights and National Security in Nigeria

The 1999 constitution provides for fundamental objectives and directive principles of state policy in chapter II, which recognized economic, social and cultural rights of Nigerians. The entrenchment of human rights provisions in Nigeria’s constitutions was aimed at creating a society where there is political freedom, social and economic wellbeing of the people. But despite the guarantee of fundamental rights and liberties in the Nigerian constitutions, the country has had the misfortune of bad leadership and governance, resulting in insecurity of greater proportion like kidnapping, ritual killings, terrorism, banditry, youth restiveness, herdsmen/farmers clashes, and cyber-crime. This also has profound and far-reaching effects on the promotion and protection of consumer rights to safety and redress. It is against these backdrops that this paper was written to examine human rights for sustaining national security and the role of consumer education in the promotion of human rights and national security. The methodology adopted in this study was conceptual in nature, through the review of archival literature of newspapers, government journals, journal and conference articles publications and textbooks. The paper suggested that government, its agencies and institutions, corporate bodies and individuals should be held accountable for human rights violations against consumers and threats to consumer security. The paper concluded that consumer education programmes should be intensified in every sector of the economy and be used as a tool for sustaining human rights in both formal and informal educational system. Government should establish mobile consumer complaints centers at ward and senatorial levels across the country to encourage consumers to easily seek redress whenever their rights are violated, and that government agencies and public institutions, corporate bodies and individuals be held more accountable for threats to consumer security (human rights violations against consumers). Keywords: Human Rights, National Security, Consumer Education, Directive Principles, Public Institutions.
Batched Fully Dynamic Multi-key FHE from FHEW-Like Cryptosystems

Multi-key fully homomorphic encryption (MKFHE) schemes support arbitrary computations on data encrypted by different keys. Especially, in the fully dynamic setting, any ciphertexts can be computed at any time while maintaining the compactness. In this case, no information about the parties and the computation function need be known before the evaluation. However, all existing constructions are based on the learning with errors (LWE) problem or learning with rounding (LWR) problem, and thus only allow to encrypt a single bit. On the other hand, FHEW-like cryptosystems are computation-efficient in the sense that they can evaluate arbitrary Boolean circuits on encrypted data followed by the boostrapping procedure. To this end, in this paper, we propose a batched fully dynamic multi-key FHE scheme based on FHEW-like cryptosystems. Specifically, instead of a single bit, our construction encrypts a ring element, and thus has low amortized cost. In addition, as a core building block of construction, we put forward a new multi-key ring-LWE accumulator with homomorphic discrete Fourier transform (DFT) for the boostrapping procedure, which might be of independent interest. The theoretical analysis indicates that the amortized computation cost of generating evaluation key and storage cost achieve optimal.
A Mathematical Proof to the HKLam Theory by Linear/Tensor Algebra and Analysis

In the previous papers, I have mentioned several times of HKLam Theory and their everyday usage but without the abstract mathematical proof. In order to remediate the flaws, I am now trying to proof the theory through both Tensor Algebra and Analysis as well as the statistical inference in this present paper. Indeed, people always say that mathematicians are linear animals or participate much in the subject of linear algebra while the British Scientist Newton observed a falling apple and discovered the gravity together with the development of calculus. In a similar case, my proof in the part of tensor algebra will be an analogy to the linear mapping, transformation etc while there are the corresponding corollary real physical life cases – 2 to 3 dimensional vectors calculus or even higher dimension of tensor analysis. Indeed, my proof will be based on the order two tensor but the HKLam theory may be extended up to nth order tensor but NOT applicable to the topic of the planned politics or even economics etc.The main aim is to show the proof of HKLam Theory by linear/Tensor algebra together with some applications in fluid dynamic and stress tensor field etc.
Presenting Believable Choices

Interactive narratives (IN) are stories that branch and change based on the actions of a participant. A class of automated systems generate INs where all story branches conform to a set of constraints predefined by an author. Participants in these systems may create invalid branches by navigating the story world outside the bounds of the author's constraints. Two existing methods, choice removal and intervention, are designed to mitigate these situations. However, these methods are expected to lower invisibility, being recognized as system manipulations by the participant. In this paper we present an evaluation of a new method, domain revision, that is designed to have no negative effect on invisibility. We measure invisibility by asking survey participants how believable a choice's options and outcomes are in the context of a Choose Your Own Adventure story. We find that domain revision is more believable than choice removal when applied to a choice's options. We also find that domain revision is equally believable as intervention on a choice's outcomes because intervention does not cause a drop in invisibility.
STUDI LITERATUR TENTANG POTENSI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN MENULIS TEKS FABEL

This study aims to examine the existence of Augmented Reality as a learning medium in the era of modernization. The method used in this study is a literature study. The result of this research is that Augmented Reality has a good influence as a learning medium so that it is able to keep up with the development of technology. The conclusion of this study is evident from the research articles that were carried out earlier.
Development a Real Time Stationary Obstacles Avoidance Scheme for Autonomous Vehicle Navigation System

Motion planning for autonomous vehicles in urban environments is an important and challenging task due to the vehicle dynamic constraints, involvement of stationary and moving obstacles, other vehicles and unpredictable pedestrian movements.The proposed algorithm will present a real time motion planning scheme of autonomous vehicles.Also, will allow autonomous vehicles to avoid collisions with multi stationary obstacles.A linear model predictive control (MPC) algorithm using Laguerre Functions is developed and used where the controller manipulated variables are the acceleration and the front wheels steering angle.Knowledge of the surrounding environment, the state of the autonomous vehicle and other constraints of the MPC are incorporated in the prediction model of the controller to predict safe trajectory for the vehicle and to avoid collision with other obstacles.The proposed algorithm will improve autonomous vehicles navigation behavior in unstructured environments.