Reviewerly/exHarmony huggingface dataset:
A New Generation Method for Assessing Information Security Risks: OCTAVE Allegro

Information system risk assessment, an essential aspect of information security management, assists organizations in identifying and analyzing critical information system assets and reducing potential risks. Internal control and risk management are two systems that complement each other in controlling an organization's activities. As a result, internal control activities, critical for controlling and managing risks, should be carried out with a risk focus. Institutions should first analyze the risks that may emerge in business processes before evaluating the steps that should be taken to secure their information assets. Many risk assessment methods are complicated and expensive, and qualified professionals should only carry them out. The OCTAVE Allegro method is a comprehensive assessment of an organization's operational risk environment to get better results without requiring considerable risk assessment information. Risk assessment can be completed in a short period and at a low cost using this method, and the effectiveness of internal control can be improved. The study's objective is to give information about the OCTAVE Allegro method, which can help prevent the risks of ensuring information security as information technologies advance and explain the method's application areas.
Mirror-assisted multi-view measurement of 3D deformation for aero-engine casing

Abstract：Because conventional three-dimensional digital image correlation(3D-DIC)equipment cannot be used to fully measure the deformation field of the partial surface of an aero-engine，a mirror-assisted mu• ti-view measurement method is proposed and a set of multi-view 3D deformation measurement systems is constructed.The proposed method includes a high-precision camera calibration model，a correction meth• od for reflection imaging，and a classical digital image correlation algorithm.In addition，using a photo• grammetric technique，the method can align the measurement data of multiple 3D-DIC units to a common coordinate system to obtain multiple 3D shape and deformation fields simultaneously.The accuracy of the proposed method is verified through a specially designed uniaxial tensile test，where the accuracy of shape reconstruction is 0. 03 mm，and the error of strain measurement is less than 50 με.Finally，the proposed system is applied to the loading test of an aero-engine casing.The shapes and corresponding deformation 文章编号 1004-924X
Chained semantic generation network for video captioning

Abstract：Aiming to address the unsatisfactory expression ability of semantics，which results in inaccurate text descriptions in video captioning，a chained semantic generation network(ChainS-Net)for video cap• tioning is proposed.A multistage two-branch crossing chained feature extraction structure is constructed that uses global and local domain modules as basic units and captures the video semantics from global and local visual features，respectively.At each stage of the network，semantic information is transformed and parsed between the global and local domains.This method allows visual and semantic information to be cross referenced and improves the semantic expression ability.Furthermore，it allows a more effective se• mantic representation to be obtained through multistage iterative processing，thereby improving video cap• tioning.Experimental results on MSR-VTT and MSVD datasets show that the proposed ChainS-Net out• performs other similar algorithms.Compared with the semantics-assisted video captioning network， SAVC，ChainS-Net shows average improvements of 2. 5% in four metrics of video captioning.
IoT TECHNOLOGY BASED ON AI PLATFORM FOR BLOCKCHAIN E-EDUCATION

The priority elements of the e-government system with Blockchain technologies in the most important socially oriented areas are the electronic health system, electronic education and science system, electronic environment, etc., the introduction of which is designed to make public information open to the public, in particular on the state of the environment, directions and volumes of use of public funds, Land Management, the state of development and use of mineral resources, etc.; automate some processes of management of the relevant areas (personnel, monitoring, finance, reporting); improve the Electronic Document Management System in educational and scientific institutions, healthcare and the environment; ensure that users of the system can receive services in the relevant areas through online services, including checking the validity of documents, registering in electronic queues, and so on. It should be noted that educational institutions provide applicants with "information", which in the learning process should turn into "knowledge". We note that the main difference between knowledge and information is the degree of organization and consciousness of Primary Data. In our opinion, the main difference lies not only in the degree of organization and consciousness of primary data but also in the orientation. So, information is the" raw material " for the formation of knowledge, the main resource, service, and product. Knowledge, in our opinion, is systematic, structured information that an individual has. That is, knowledge is a quality of the individual. A modern successful person needs to learn throughout his life. At the same time, the ability to make decisions independently, the ability to think, and the ability to solve complex interdisciplinary problems in non-standard situations become essential. This makes it necessary for a modern person to have the skills to search, analyze and process information in accordance with the methodology of scientific knowledge using digital technologies. The foundation for obtaining knowledge by a person is education, in the process of which educational institutions provide the applicant with "information" that he must turn into "knowledge". The process of converting information into knowledge in the modern environment is possible only if the information and research competencies are formed.
The Lecturers’ Strategies in Teaching Reading Comprehension for Management Students

English is one of the subjects taught at the university level, as well for management study program at the STIE Bina Karya, where the students focus their learning not on English, but have to take English courses as a general subject. This study aimed to find out what strategies are applied by lecturers in teaching reading comprehension for management students at STIE Bina Karya. The participants of this research are two English lecturers at STIE Bina Karya. This descriptive qualitative design applied a questionnaire for collecting the data. The result of this research showed that there are some different activities were carried out by the two lecturers at the while-reading stage. The first lecturer prefers to ask students to read the text one by one to improve their pronunciation. However, sometimes she asked them to read the text silently. Meanwhile, another lecturer prefers asking the students to read silently to gain better comprehension. Moreover, both lecturers agreed that in pre-reading activities, lecturers have to first use a strategy to attract students' interest in learning English and make it easier for them to understand the material content. For measuring students' understanding, they gave questions related to the text at the post-reading stage. Beside that, students are trained to create sentences from the word chosen from text, discuss the students' answers, review the lesson and lastly explain the conclusion.
A Review of Iran's Developmental Challenges in the Contemporary International System: A Non-Iranian Perspective

This research looked at the hurdles to Iran's growth plans in the modern world political economy. The data for this study was gathered from secondary sources such as textbooks, magazine articles, and online sources, and the data was analysed using content analysis. According to this study, Iran has been plagued by violent strife for many years. Furthermore, the mistaken economic policies of earlier Iranian leaders, as well as a reluctance to open the economy to international investors, have contributed to the country's economic stagnation throughout the years. Finally, this study suggests, among other things, that a total shutdown of the Iranian economy in the current global economy will continue to deprive Iran of the myriad economic gains associated with globalisation.&#x0D; &#x0D; Received: 11 October 2022 / Accepted: 30 December 2022 / Published: 5 January 2023
PENERAPAN DATA MINING DENGAN METODE SINGLE MOVING AVERAGE UNTUK MENENTUKAN JUMLAH PENJUALAN OBAT

Anita Farma 2 Pharmacy is one of the private pharmacies in the city of Baubau which still implements a manual system for drug sales management and has not implemented a method to predict future drug sales. So that there are various kinds of drugs that experience excess stock and some drugs experience stock shortages. The purpose of this study is to make it easier to predict future drug stock requirements at Anita Farma 2 Pharmacy using the application of data mining with the web-based Single Moving Average method. The method used in this study is the Single Moving Average (SMA) method which is a technique for calculating the average of a number from the latest actual value, updated as new values become available, carried out to forecast the following periods using the method Mean Absolute Percentage Error (MAPE) to calculate the accuracy of predictions on the Single Moving Average method. The results of the research system used the Single Moving Average method, namely period 2 (M2) of 23.25%, period 3 (M3) of 26.23% and period 4 (M4) of 28.22% using 5 drug samples with sales for 5 years from January 2017 to December 2021 Among the 3 periods of drug sales forecasting tested using manual calculations with MAPE it can be concluded that period (M2) is better than periods M3 and M4 with a percentage of MAPE "Good Forecasting" of 16.67% and the smallest error rate of 23.25 %.
Reduction of jitter in 3D video by transmitting over multiple network paths

Stereoscopic video transmission in telemedicine application requires the data to be transferred with a minimal jitter. It is not possible to send stereoscopic video at full HD rate on single internet service providers (ISPs) as the bandwidth becomes a bottle-neck and congestion can lead to packet drops, eventually leading to jitter in a video. This could be a circumvented by employing multiple ISPs to stream stereoscopic video utilising multiple real-time packets (RTPs) sessions. Usage of multiple ISPs results in multiple network paths between the video streaming device and video consumers. This concept effectively involves aggregation of bandwidth, delay, jitter, packet loss, and other qualitative network attributes with respect to every ISP participating in the video transmission process. This article analyses through simulation collective delay and jitter which affects the video reconstruction process and concludes with the estimation of minimum qualitative network parameters required.
Benchmarking Gradient Based Optimizers’ Sensitivity to Learning Rate

Initial choice of Learning Rate is a key part of gradient based methods and has a great effect on the performance of the Deep Learning Model.This paper studies the behavior of multiple gradient based optimization algorithm which are commonly used in Deep Learning and compare their performance on various learning rate. As observed popular choice of optimization algorithms are highly sensitive to various choice of learning rates. Our goal is to find which optimizer has an edge over others for a specific setting. We look at two datasets namely MNIST and CIFAR10 for benchmarking. The results are quite surprising, and it will help us to choose a learning rate more efficiently.
Linguistic Diversity in Schools. Some Data on Plurilingual Classes in Udine

This article presents and discusses the main results of a comprehensive survey that was carried out from 2017 onwards with the aim of studying plurilingualism in the repertories and uses of immigrant children in schools at all educational stages in the city of Udine. The subjects surveyed included pupils between ages 9 and 18 with at least one foreign (language-speaking) parent. Each pupil compiled a questionnaire aimed at collecting social and personal data as well as data about their linguistic repertories, uses and behaviours and those of their parents, relatives, friends and other interlocutors, both in Italy and (for those born abroad) in their country of origin. By analysing their answers, it was possible to attest the (at least) bilingual dimension of these subjects’ daily lives, especially within the family context, with friends and, above all, at school. The results show that these subjects have multiple and more or less ample competences at their disposal, as well as a marked sensitivity toward plurilingualism.
INVESTIGATING PROBLEMS ENCOUNTERED BY THE TEST TAKERS DURING TAKING TOEFL TEST

One of standardized test that measure students’ proficiency level in English which is called as Test of English as Foreign Language (TOEFL) has been used worldwide by more than 9.000 colleges, universities and agencies in more than hundreds countries in the world. Nowadays, English proficiency test is taken not only on purpose of pursuing study abroad but also as a prerequisite to complete college, especially in institutions. Further, it is also used in the admissions process of applicants to get a job especially in companies where English is used to communicate. However, to pass the TOFL test is not an easy task and even there are many test taker failed the test though they had spent months preparing for the test. There are many problem happened during the test that caused the test taker into failure. This research aimed to investigate problems that occur during the test. This study used descriptive qualitative design and the subjects were ten college students who had taken TOEFL prediction test in the Language Center of Mandalika University of Education (UNDIKMA). The instrument used in this study was an interview which then the result of interview was analyzed in three steps, i.e. data condensation, display, and conclusion. The result of the study showed that most of the test taker failed and made a bad score due to some problems, i.e. less practice, lack of vocabulary, bad time management, feeling nervous, etc. It was noted that those who had minimum problem scored higher than those who had various problem.
Application of Metaheuristic Algorithm for Solving Fully Fuzzy Linear Equations System

A linear equation is an equation in which each term contains a constant with a variable of degree one or single and can be described as a straight line in a Cartesian coordinate system. A Linear equations system is a collection of several linear equations. A system of linear equations whose coefficients and variables are fuzzy numbers is called a fully fuzzy linear equation system. This study aims to apply a metaheuristic algorithm to solve a system of fully fuzzy linear equations. The objective function used is the minimization objective function. At the same time, the metaheuristic algorithms used in this research are Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Cuckoo Search (CS). The input in this research is a fully fuzzy linear equation system matrix and parameters of the PSO, FA, and CS algorithms. The resulting output is the best objective function and the variable value of the fully fuzzy linear equations system. The work was compared for accuracy with the Gauss-Jordan elimination method from previous studies with the help of the Matlab programming language. The results obtained indicate that the Particle Swarm Optimization (PSO) algorithm is better at solving fully fuzzy linear equation systems than the Firefly Algorithm (FA) and Cuckoo Search (CS). This case can be seen from the value of the resulting objective function close to the value of the Gauss-Jordan elimination methodKeywords: Mathematics, investation
Implementation of Back Tracking Algorithm in The Scheduling of Mathematics Study Program Faculty of MIPA Unsoed

The complicated case of scheduling courses at the Mathematics and Natural Sciences Faculty of Mathematics Study Program, Universitas Jenderal Soedirman, is a topic that is quite interesting to discuss and find a solution to using a mathematical method. In fact, manual course scheduling without a method is prone to scheduling errors such as class schedule clashes, clashes in the use of lecture rooms and so on, so a more efficient method of scheduling courses is needed. Scheduling lectures with the backtracking algorithm is a systematic and efficient method of scheduling lectures with influencing factors such as the number of courses, number of sessions, number of rooms, and lecture time. Algorithm backtracking is an algorithm based on Depth First Search to find solutions to problems more efficiently. The back tracking algorithm performs a systematic search for solutions to all possible solutions at each node based on recursive Depth First Search. Depth First Search is a search method that is carried out at one node in each level from the far left. If a solution has not been found, then the search continues on the right hand node. And so on until a solution is found or if you find a dead end it will backtrack to the previous position. If a solution is found, the search will stop even if there are nodes that have not been traced. The implementation of the backtracking algorithm pays close attention to the factors that become obstacles in scheduling courses. The course schedule function with the backtracking algorithm can meet every influencing factor such as the number of courses, rooms, classes, and lecture time so that scheduling lectures with this method is very helpful because the method used is more efficient and can avoid errors in scheduling.
PROFESSIONAL BURNOUT OF THE STAFF OF AN EDUCATIONAL ORGANIZATION IN THE CONTEXT OF THE DEVELOPMENT OF THE ORGANIZATIONAL CULTURE OF A HIGHER EDUCATIONAL INSTITUTION

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
LEVELS OF FORMATION OF MULTICULTURAL COMPETENCES OF OLDER TEENAGERS IN THE EDUCATIONAL ENVIRONMENT OF A CHILDREN'S MUSIC SCHOOL

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
ACTUALIZATION OF FORMATION OF ANDRAGOGIC COMPONENT OF PROFESSIONAL COMPETENCE OF MEDICAL STUDENTS

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
An End-to-End Pipeline for Medical Image Enhancement using GANs Architecture

Medical Imaging is used by radiologists for diagnostic purposes and to check for abnormalities, and these imaging techniques involve radiation. Overexposure to radiation can have an adverse impact on the human body, and using less radiation gives us a noisy output. Hence, radiologists find it difficult as there is a trade-off between the amount of radiation that can be used and the quality of the image. Moreover, noise in medical images can occur due to fluctuation of photons, a reflection of radiations from the subject, or due to instrumental vibration or faults. The proposed approach is a pipeline which starts with denoising using GANs architecture, in which two models have been trained, one for handling all kinds of noise and the second one specifically for Poisson noise. Further, post-processing methods like single-shot HDR using Retinex Filtering and Edge Enhancement using unsharp masking have been done to get a structurally more similar and enhanced denoised image.
MEDIA INFORMASI BERBASIS AUGMENTED REALITY PADA KOMPLEKS MASJID AGUNG KERATON BUTON MENGGUNAKAN ALGORITMA FAST CORNER DETECTION

&lt;p&gt;&lt;em&gt;The Great Mosque of the Buton Palace was built in 1917 by Sultan Sakiudin Durul Alam and is a very important area and has historical value during the Buton Sultanate. This mosque is located within the Buton Palace Fortress area (Wolio Fort). The lack of knowledge about the area is caused by very little written information about the Buton Palace Grand Mosque Complex. The purpose of this research is to design and build an information media based on Augmented Reality so that it becomes informative media for the public. This Information Media uses Augmented Reality technology with the FAST Corner Detection Algorithm. From the research that has been done, Augmented Reality technology using the FAST Corner Detection Algorithm gets good results when used as an information medium and its application on Android devices. The results are proven through accuracy testing with a distance of 10cm - 100cm and an angle of 45o - 90o with an accuracy of 10cm-20cm which is not successful and 30cm-100cm is successful and there is a delay.&lt;/em&gt;&lt;/p&gt;
Implementation of the Literacy Movement on Student Learning Motivation in Elementary Schools

This study aims to determine the literacy and numeracy abilities of elementary school students in increasing students' motivation and interest in reading and numeracy at the elementary level. The school literacy movement can strengthen the character movement as outlined in the Minister of Education and Culture Regulation Number 23 of 2015. One of the activities in the literacy movement is reading for approximately 15 minutes before teaching and learning activities begin. Numeracy is the ability to understand and apply numbers and arithmetic operations. This type of research method is a descriptive qualitative research using survey data and direct observation of elementary schools accompanied by sources from previous research. The results of this study indicate that with the existence of a school literacy movement that is carried out for 15 minutes it can train or familiarize students with increasing students' reading abilities and interest in teaching and learning activities at school