Reviewerly/exHarmony huggingface dataset:
Approaches Regarding the Continuous Training of Human Resources in Education as an Element of School Performance in the Context of Organizational Culture

Currently, organizational culture in the Romanian education system represents a vulnerable point because, under the impact of the pandemic, the organizational hierarchy and traditional elements of organizational culture have undergone significant changes to transform the systemic balance of the educational environment, this aspect being even more intense.how much human resource has faced a challenge related to adapting to digital media as a support for online schooling.In this context, the research aims to assess the performance of educational institutions in the context of changing organizational culture through a structured questionnaire applied to 6 countries, countries whose adherence to digitization is different but which are European countries with a reputation in education.The means used are represented by the prospective analysis and analysis of the data obtained by applying the questionnaire, the results being modeled through a Bayesian regression model in which the variables were defined at the level of need for continuous training and adaptation to organizational culture.The results of the model indicate the interdependence between the variables and present a topical solution regarding overcoming the crisis in the educational system through proactive human resource management measures.
Addressing Sentiment Analysis Challenges within AI Media Platform: The Enabling Role of an AI Powered Chatbot

This paper seeks to classify text with a supervised machine learning algorithm, embedded into an AI powered chatbot.A data set containing tagged texts is used to classify text from IMDb movie review data set, Reviews for Sentiment Analysis -Amazon and Earphones Reviews.The goal is to automatically classify texts into one or more predefined categories.Using supervised learning methods, we developed a model that will use the labelled data set as input.These texts are classified according to syntactic or linguistic characteristics.Research findings outlined that the choice of characteristics for the classification of the sentiments is relevant for leveraging the best possible accuracy, considering Lexicon sentiment, Rules for opinions, Emoticons, Frequency and presence of terms.
Regulating Bitcoin - On What Grounds?

This paper assesses costs and benefits of regulating Bitcoin.A review of the main justifications for regulating it shows that scope for efficient regulation is limited.Private governance structures and feebased services have already begun addressing many of the known problems.Furthermore, since a regulation would discourage use, the costs-in terms of technological gains forgone-are potentially high.Nonetheless, there is scope for regulation, to ensure one has recourse in the event of theft, as long as the following are addressed: 1) provide a clear regulatory framework; 2) supervise transactions to dissuade crime, without compromising the medium; 3) regulate exchanges, rather than users; 4) encourage technological progress by committing to an environment of permissionless innovation.
Website Quality Analysis Using Customer Satisfaction Index and Importance Performance Analysis

The development of technology in the digital era is currently growing very rapidly it is including in education, such as the creation of an academic information system that aims to facilitate the process of the needs of lecturers, employees and students in terms of document management and other academic needs. Website quality analysis used Service quality is measured using the Customer Satisfaction Index with the SIMAK-NG service and the Importance Performance Analysis method to analyze the quality of SIMAK-NG service performance. The results of the analysis satisfaction of lecturers and employees of website users on the SIMAK-NG website were "VERY SATISFIED" with a percentage rate of 82.03% but there was still a GAP value between website performance and user expectations. In the IPA quadrant, the main improvement priorities were 3 items of questions for lecturers and employees and 10 items that become website achievements.
Application of the MADM Method for the Admission System for Islamic Religious Trustees

The selection process for Islamic tutor and the decision to pass or fail is made by subjective views of the selector. The konvensional process takes a lot of time. It is necessary to have Decision Support System (DSS) to minimize the subjective side of the selectors and streamline the selection process so that effective decision can be obtained. The character of this problem matches the characteristic of Multi Attribute Decision Making (MADM) model. A combination of Simple Addictive Weighting (SAW) and Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) are selected to solve MADM model. SAW used to rank decision while TOPSIS used to calculate level 2 criteria. Based on testing of 30 data samples using Single Detection Threshold method, the system performance accuracy rate is 83,33% and precision rate is 77%. The combination of the two method has been successfully applied and provide accurate and precise recommendations.
Infiniittiset verbirakenteet raumalaisessa Westhin koodeksissa ja Mikael Agricolan Käsikirjassa

Finnish written language was created through translation. Liturgical texts began to emerge, as the Protestant Reformation reached Finland in 1530s. Codex Westh is one of the oldest manuscripts written in Finnish. The core part of the codex contains an Agenda (schemata of ecclesiastical ceremonies) dating from 1546. Mikael Agricola, the celebrated founder of the Finnish literary language, submitted corresponding material to the printing press some years later (1549). As a common and homogenous Finnish language did not yet exist at that time, the texts translated from Swedish sources by Westh and Agricola were partly different. This study examines the use of non-finite verb forms and verbal constructions in the Agendas of Westh and Agricola. The results of analysis illustrate that, consistent with previous knowledge of the nature of contact-induced changes and different translation strategies, significant changes have taken place in those parts of the Finnish modal verb system that have provided various alternative solutions or system gaps to be filled with new types of syntactic constructions following the model given by source languages. Structural borrowing from Swedish and Latin can be seen in both translations, and Westh especially seems to have ended up with simple and partly unidiomatic routines when choosing Finnish counterparts to Swedish modal constructions.
Project-Based Learning in Online Speaking Class: Interesting or Boring?

Project-based learning (PjBL) has been widely recognized as one of effective teaching methods used in many speaking classes in Indonesia.It has also been theoretically and practically well-documented in a myriad of publications.However, little discussed the students' feeling in fulfilling the speaking projects, mainly in the online learning classes.Therefore, the present study attempts to examine the students' emotions during accomplishing those projects in one semester.Grounded on Pekrun's emotion foundation [1], this exploratory case study employed an open-ended questionnaire administered to 29 university students in one speaking class to explore their anger, anxiety, enjoyment, hope, hopelessness, pride, relief, and shame during the online speaking class.To analyse the data, Miles and Huberman qualitative analysis framework was employed.The findings of this study informed that most students found they were both excited and challenged depending on particular conditions they encountered when doing the projects.The excitement occurred when they experienced satisfaction during the project accomplishments.Meanwhile, they felt it stimulating when they found their projects unsatisfactory.Moreover, they also expected perfection since they valued the result over the process.Pedagogical implications and further studies are also presented.
The Software System LingvoDoc and the Possibilities It Offers for Documentation and Analysis of Ob-Ugric Languages

Abstract — The LingvoDoc system ( http://lingvodoc.ispras.ru ) provides a service for collaborative language documentation and computations on the collected data. This software system provides GraphQL HTTP API for all the system components and allows its users to build their own extensions for data analysis or even to integrate it with their own software. Thanks to a special database and application design pattern, it is possible to construct offline applications integrated with the LingvoDoc system: these applications would need to have an internet connection only once to synchronize basic data types and for authentification purposes. The system itself allows users to construct multilayer dictionaries, attach them to the geographical map, fill documents with metadata, share access to dictionaries with other users or with everyone. The LingvoDoc system provides fine-grained access control lists for sharing, which allows to separate users into groups of dictionary editors, proofreaders and read-only users. The system also provides some computational algorithms on the stored data: phonology computations, automatic and guided deduplication inside the dictionaries etc. The system allows users to choose the dictionary structure. The system supports the following data types: text, images, sounds (wav, mp3, and flac), markups (ELAN and Praat formats), directed and undirected links between stored entities. A user can choose the most suitable format for their dictionary. Also, the system provides ELAN corpora storage, viewer and processing. In LingvoDoc there are 13 programs made for authors of the dictionary (only 4 of them are available for all users of the system). These programs analyze language data from phonetical, morphological and etymological point of view. This analysis previously was performed manually by linguists. Our programs allows do it tens and sometimes hundreds times faster. This paper presents the documentation and an analysis of Ob-Ugric languages using the LingvoDoc system.
Content Based Reverse Image Search

People can now get access to the required image with a relevant degree of information thanks to the broad improvement of the WWW. Details, photos, flow charts, logos, maps, and other information However, discovering and obtaining relevant information is always a challenge. There are certain text-based search engines, such as Google, that may be used to find desired photographs from the vast pool of images available on the internet. As a result, here need for the pictures online search engine that can search for related and proper images. Content-based image retrieval query approach is same as Reverse image search that involves giving the CBIR device an example photo and having it find photos based on that image. Reverse image search mostly used to find out either information or photos linked to the query image, as well as accurate images.
Implementing Speech-Texter Application to Improve EFL Learners’ Fricative Pronunciation

Most of EFL learners in Indonesia hardly adopt pronunciation due to limited time, problem from the role model, and difficult sound production. To solve the problem, speech texter-application was implemented as learning media. The research aimed to identify whether and to what extent implementation of speech-texter application can improve EFL learners’ fricative pronunciation and explain the factors which influence the changes in pronouncing fricative consonants. The research implemented action research method. The research used purposive sampling technique and 16 learners from the first semester of a private public college in Pekanbaru. There were instruments used to collect the data. The quantitative data were pronunciation oral test, while the qualitative data were observation checklist, field note and interview. The qualitative data were analysed by scoring and comparing to the standard ability and qualitative data were analysed by data , data display and conclusion drawing. After analysing the data, it was revealed that speech-texter application was able to improve learners’ fricative pronunciation. The improvement of learners’ ability was from the level of “fair” into “good” category at the end of cycle 1. The factors which affecting the improvement was the use of speech-texter application which provide opportunity as self-check application. Thus, it can be concluded that the implementation of speech-texter.
Implementation of Cheapest Insertion Heuristic Algorithm in Determining Shortest Delivery Route

The buying and selling transaction system that many people use today is the online buying and selling system. In this system, there is a process of goods delivery by one branch of a freight forwarder in Indonesia, namely SiCepat Express Baleendah. In the process of shipping goods, a delivery route with the shortest path is needed in order to minimize of the goods delivery process. The problem of the route of goods delivery can be solved by one of the algorithms in the Traveling Salesman Problem (TSP), namely the Cheapest Insertion Heuristic (CIH) Algorithm. This study aims to determine the shortest route and distance for goods delivery using the CIH Algorithm by the Asymmetric TSP CIH application, as well as knowing its efficiency compared to the route that used by SiCepat Express Baleendah. The result shows that the use of the CIH Algorithm is proven to produce a more efficient delivery route than the route created by SiCepat Express Baleendah. Based on the goods delivery route from SiCepat Express Baleendah, the result of the total distance is 18.55 km. On the other hand, based on the CIH Algorithm, the delivery route obtained result is 13.45 km. The efficiency of using the CIH Algorithm is 27.48% better than the result from SiCepat Express Baleendah route.
Identifikasi Kualitas Kesegaran Susu Kambing Melalui Pengolahan Citra Digital Menggunakan Metode Learning Vector Quantization (LVQ)

Goat milk is milk produced by female goats after giving birth. Goat's milk contains many vitamins, minerals, electrolytes, chemical elements, enzymes, proteins, and fatty acids that are good for body health. The number of people's interest in goat's milk, makes goat's milk farmers to produce goat's milk in various ways for the sake of profit. For example, by reducing the level of purity and freshness of goat's milk by mixing other ingredients other than the original pure goat's milk. The identification process using imagery requires a method that can identify fresh and not fresh goat's milk. There are several methods that can be applied in digital image processing, one of which is using the Learning Vector Quantization (LVQ) method. LVQ is a single layer net with each input layer connected directly to the output neurons. Both are associated with a weight consisting of xi is the input, wii is the weight and yi is the output. Analysis of this calculation is used which becomes the initial value. Learning Rate (α) = 0.05, with a reduction of 0.1 * , and maximum epoch (MaxEpoch) = 1. The results of the analysis of the smallest distance on the 1st weight, so that the input image of the goat's milk test belongs to class 2. Thus, the image data of the goat's milk test is identified as mixed goat's milk.&#x0D; Keywords: Goat's Milk, Digital Image, Learning Vector Quantization
Quizizz-Based Gamification to Improve Fractions to Percentages Converting Ability among 5th Grade Students in SJKC Chong Cheng

It has been generally recognized that students face difficulties in solving daily problems involving percentages.This study was conducted to test the effect of the use of Quizizz-based gamification in improving the skills of students, especially in problems involving converting mixed numbers to percentages and vice versa.A total number of 40 Year 5 Ken students were selected as the treatment group while 37 students from 5 Qin were used as the control group.Both classes are from Sekolah Jenis Kebangsaan Cina Chong Cheng, which is the largest primary school in Penang.Preliminary tests for both classes were conducted.An intervention involving a gamification approach through the Quizizz-based gamification was conducted.Final tests for the same topic were conducted after the gamification approach and the conventional approach were conducted for both classes.Through this study, it was found that students from the treatment group who used the Quizizz-based gamification approach have shown significant improvement in the skills of converting fractions to percentages and vice versa.
Design and Analysis of Cloud Data's Multi-Layer Security Protection

To store and access sensitive information from distant locations utilizing an internet connection, cloud servers are now often employed. By adopting cloud servers as their primary source of data storage, almost all businesses and organizations made the transition from local to distant data storage. It has become a struggle for each and every person to give additional security for the cloud data because, in general, cloud servers do not have total protection for the data that is stored on them. Data is a useful resource that can take many different forms, including payment information, personal information, bank account information, and many others. Due to the absence of data security in all of these forms, we try to useSome cutting-edge encryption methods for protecting the data that is kept in remote locations. Two parties make sure that a third party cannot access their communication when they communicate through a medium. It is better to use encryption methods to encrypt data in a cipher, send it over the internet, and then decrypt it to reveal the original data. By transforming plaintext into cipher text, the science of cryptography encrypts and decrypts data to keep messages private. In this project, we primarily develop 3 techniques, including: The three strategies are columnar transposition, rail fence transposition, and caesar substitution. Data can be protected and returned to its original state using all three processes together.
Modeling simulation and analysis of textile pilling by using Upgraded Petri nets and two-level edge detection algorithm

Upgraded Petri nets and a two-level edge detection algorithm for the modeling, simulation, detection, and analysis of textile pilling has used in this paper. There are two models in this paper. The first model is related to creating images with pilling on textiles. This model is represented at a low level of abstraction, using parallelism, synchronization, and preservation of model markup. After several iterations of the modeling, simulation, and analysis, the model transformed into a specific Python program. This program generates several hundred images of pilling on textiles. The second model refers to the modeling, simulation, and analysis of the preparation of generated images for entry into a program that uses a two-level algorithm for edge detection and generation of output images of detected pilling. An image preparation includes comparing pixel blocks (2x2, 4x4, and 8x8) of the image with textile pilling and the image without pilling. This image with pilling is modified regardless of the difference between the corresponding blocks. This image is an input to the two-level edge detection algorithm. The paper presents some examples of generated images of textile pilling and images with detected pilling. Errors due to the size of the comparison block about the exact pilling surface shown. The speed of image processing according to the size of the comparison blocks analyzed. Some guidelines represented for further research on pilling detection using Upgraded Petri nets and a two-level edge detection algorithm.
Face Frontalization with Deep Gan via Multi-Attention Mechanism

Abstract In recent years, the development of deep learning has led to some advances in face synthesis approaches, but significant pose is remains one of the factors that is difficult to overcome. Benefiting from the proposal and development of generative adversarial network, the level of face frontalization technology has reached new heights. In this paper, we propose a deep generative adversarial network based on multi-attention mechanism (DMA-GAN) for multi-pose face frontalization. Specifically, we add a deep feature encoder based on the attention mechanism and residual block in the generator, which can deepen the network to extract more detailed features and make full use of the long-range dependencies between local features to generate better identity-preserving faces. Meanwhile, to carry the global and local facial information, the discriminator of our model consists of four independent discriminators. The self-attention mechanism is also added to these discriminators to provide more accurate synthesized details. The results from quantitative and qualitative experiments on CAS-PEAL-R1 dataset show that our model proves effective.
Improving Deepfake Video Detection Using Data Augmentation Techniques

Abstract The quantity and quality of the training data greatly influence the outcome of deep learning-based face-related tasks. However, gathering and labeling sufficient samples of adequate quality with a balanced distribution remains an expensive and laborious task. Hence, several data augmentation approaches have been extensively employed to enhance the quality and increase the quantity of the training dataset. This paper proposes a deep learning Convolutional Neural Network (CNN) based approach for Deepfake detection on the CelebDF dataset, in which several data augmentation techniques such as traditional augmentations, GridMask, face morphing, and style transfer are systematically examined to improve the capabilities of state-of-the-art Deepfake detection approaches. The problems and positive effects of each augmentation method are analyzed and compared in a concise yet informative manner. The trained model is then evaluated against an unseen test datum based on metrics like precision, recall, and F1-score, thereby deciding the best augmentation strategy for the chosen dataset.
Pengaruh Fraksi Volume Serat Dengan Matriks Epoxy Pada Material Komposit Serat Mendong

A composite material is a material that is a mixture of two or more macroscopically mixed materials, so the properties of its forming material are still clearly visible. In this study, the type of fiber used was the natural fiber of mendong. This mendong fiber is made into a composite material using the Hand Lay-up method with four variations in fiber volume, namely (30%, 40%, 50%, and 60%). The fiber binding material (matrix) used is Epoxy. This study aims to determine the characteristics of jack fibers in jack fiber composite materials with an epoxy matrix against tensile strength and modulus etalciticity. Tensile testing refers to the ASTM D 638 Standard. To find out the type of fault from the tensile test results, macro photos are used and find out the shape of the fault and the failure pattern that occurs in composite specimens. From the test results, it is clear that the difference in the composite material of mendong fiber using Epoxy, that with a fiber volume fraction of 60% greater mechanical properties