Reviewerly/exHarmony huggingface dataset:
MATHEMATICAL TRAINING OF SCHOOLCHILDREN AND STUDENTS IN THE REPUBLIC OF TYVA UNDER THE CONDITIONS OF BILINGUALISM

Statement of the problem. The article deals with the issue of the peculiarities of the formation of mathematical training of schoolchildren and students of the Republic of Tyva. The problem is caused by the bilingualism that has historically developed in the Republic: education at the university is conducted in Russian, while a significant part of students who have come from remote regions of Tuva do not speak Russian well, which complicates the acquisition of educational material.In this regard, the problem of developing a mathematics course for university students is actualized which would take into account the specifics of Tuvan-Russian bilingualism. The purpose of the article. The aim of the article is to provide guidelines for the development of an adaptive e-learning course in mathematics for engineering students, taking into account the level of Russian language proficiency by junior students. Methodology (materials and methods). The research methodology is based on the analysis of the features of Russian-Tuvan bilingualism, which affect the process of mathematical preparation of schoolchildren and students of the Republic from the standpoint of a competence approach and taking into account both the ethnopedagogical specifics of modern education and existing approaches in the field of adaptive learning in electronic educational systems. Research results. The issue of mathematical training of schoolchildren and students of Tuva has been analyzed from the standpoint of the Tuvan-Russian bilingualism historically formed in the Republic of Tuva. It is shown that the insufficient level of Russian language proficiency by junior students is a certain obstacle to studying mathematics at university. To teach future engineers mathematics it is proposed to develop and use an adaptive e-learning course in this subject, capable of taking into account, among other things, the student’s current level of Russian language proficiency. Conclusion. The author recommendations on the development of an adaptive e-learning course, which have the ability to take into account the level of students’ Russian language proficiency, proposed in the article, can be implemented when creating such a course focused on the formation of the mathematical competence of students – future engineers studying at Tuva State University.
An Active Contour Method Based on Regularized Kernel Fuzzy C-Means Clustering

This research presents hybrid level set evolution for complex and inhomogeneous image segmentation. Firstly, we develop an adaptive force with level set evolution, which is driven by region information. Adaptive force is produced by consolidating local and global force terms in an altered fashion. Besides, to avoid local fitting terms being stuck into a local minimum, we use the swap function to interchange the fitting terms so that fitting values inside the object are always higher. Later for the elimination of the costly contour initialization that existed in previous level set based evolutions, we integrate kernel based fuzzy c-means clustering and intensity-based thresholding framework with the proposed framework to automate the proposed strategy. Finally, for the level set function regularization and the for the elimination of its re-initialization we have used the Gaussian function in the level set evolution. We demonstrate the results on some complex images to show the strong and exact segmentation results that are conceivable with this new class of adaptive active contour model. We have additionally performed statistical analysis on real images and BRATS dataset using Dice index, accuracy, sensitivity, specificity and Jaccard index metrics. Results show that the proposed method gets high Dice index, accuracy, sensitivity, specificity and Jaccard index values compared to the previous state of art methods.
O processo de mudança organizacional sob a ótica das âncoras de carreira: : Possíveis correlações no contexto da pandemia do novo coronavírus - Covid-19

The present work aims to verify the correspondences between the career anchors and the organizational changes perceived in the context of the pandemic of the new coronavirus - Covid-19. It is a qualitative research with workers from multiple organizations in the public and private sectors, which was based on four perspectives of global change pointed out by Schein and Maanen (2016). The results indicate that most individuals who have experienced organizational changes in the context of Covid-19, have a type of correspondence between their career anchor and the changes that have occurred, prevailing for these professionals, an environment of opportunities.Keywords: Career anchors; organizational change; Covid-19.
Prediction Model of Eligibility of Lending in Credit Banks Using The C4.5 Algorithm and Naive Bayes Method

People's credit banks are financial institutions that collect funds from savings and channel them back in the form of credit. One form of credit owned by Rural Banks is installment credit which is intended for customers who want to increase business capital or other needs. To determine quickly and reduce the risk of non-performing loans in lending, To prevent bad loans, accurate forecasting is needed, one of which uses technology in the field of data mining. Naive Bayes predicts future probabilities based on previous experience by studying the correlation of hypotheses which are the class labels that are the target of mapping in the classification and evidence which is the features that are input in the classification model. Data processing based on data mining is expected to be used as a tool in predicting creditworthiness which estimates whether or not an applicant or customer is eligible for credit.
Penanda Kohesi Gramatikal dalam Latar Belakang Skripsi Mahasiswa Universitas Negeri Padang

This study aimed to determine the marker of what grammatical cohesion was in the background of the students’ thesis of  Padang State University. The research data was in the form of written data, namely paragraphs in the background of students' thesis at Padang State University. The results in this study showed 7 theses there were 263 used of grammatical cohesion. From the analysis of the data, the most dominant marker of grammatical cohesion was the reference marker of 142 data. There were 62 data substitution markers, 38 data ellipsis markers, and 21 conjunction markers. So, it could be concluded that the writing of the background of the students’ thesis at Padang State University had a marker of grammatical cohesion which made the paragraph intact and efficient.
Detection of Vulnerability Injection Point in Software Development Lifecycle for Effective Countermeasures

This paper takes a deeper look at data breach, its causes and the linked vulnerability aspects in the application development lifecycle. Further, the Vulnerabilities are mapped to the software development life cycle (SDLC) involving requirement elicitation, design, development, testing and deployment phases. Being aware of exact SDLC life cycle where the vulnerabilities are injected, suitable security practices (countermeasures) can be adopted in delivery methodology, which can control the eventual data breaches and safeguard the application from security perspective. Our research focuses on Evolution of Vulnerabilities through the application development life cycle, and we have leveraged “Inverted Tree Structure/Attack Tree” and “Affinity Principles” to map the vulnerabilities to right Software Development Life Cycle.
Visual tracking with multilevel feature, similarity attention, color constraint, and global redetection

Visual tracking is fundamental in computer vision tasks. The Siamese-based trackers have shown surprising effectiveness in recent years. However, two points have been neglected: firstly, few of them focus on fusing the image level and semantic level features in neural networks, which usually resulting in tracking failure when differentiating the target from other distractors of the same class. Secondly, the robustness of the previous redetection scheme is limited by simply expanding the search region. To address these two issues, we propose a novel multilevel feature-weighted Siamese region proposal network tracker, which employs a feature fusion module to construct discriminative feature embedding and a similarity-based attention module to suppress the distractors in the search region. Furthermore, a color-based constraint module is presented to further suppress the distractors with the same class to the target. Finally, a well-designed global redetection scheme is built to handle long-term tracking tasks. The proposed tracker achieves state-of-art performance on a series of popular benchmarks, including object tracking benchmark 2013 (0.699 in success score), object tracking benchmark 2015 (0.700 in success score), visual object tracking 2017 (0.470 in expected average overlap score), and visual object tracking (0.485 in expected average overlap score).
Identification of Dengue Hemorrhagic Fever (DHF) in Children Using Artificial Neural Networks Method

Dengue hemorrhagic fever or dengue hemorrhagic fever (DHF) is a complication of dengue fever (dengue fever) that worsens. This study aims to identify dengue (dengue hemorrhagic fever) in children using methods of artificial neural networks for the initial identification of dengue (dengue hemorrhagic fever). Stages of Literature Study by collecting references and analysis of problems related to dengue fever, especially to the image of the rash from mosquito bites. Then do the software design that will be used to determine whether it is identified or not identified Dengue fever based on the image (image) of the data input. This application is tested by the community by compiling a report on data collection (image) that will be processed in the application.The results of image data in the form of images that have been analyzed in advance for the training stage (learning) with LCM (Gray Level Co-Occurrence Matrix, although not all images (images) can be reached by this application, but quite a lot of images (images) are obtained so that analysis can be taken to take the point certain image (image) that can be determined as a reference for decision making.The results of 50 experiments obtained 45 successful images, 5 images failed, resulting in 90% accuracy in 3 – 5 seconds.
The Design Of Augmented Reality Media Koi Fish Literacy Using Fast Corner Algorithm

Ornamental fish that are quite famous and in demand in the market is the koi fish. This fish has a relatively high economic value, and its demand is increasing. There are still many difficulties in maintaining this fish so that it can cause the growth of disease and even death in the fish. It is due to the lack of public attention in terms of literacy about koi fish. Researchers used augmented reality technology to design koi fish literacy media based on these problems using the FAST Corner algorithm. So it is hoped that it could help improve public literacy about koi fish by introducing real-time information. The Fast Corner detection algorithm is helpful to accelerate the computational time when detecting corners in real-time with the markerless Augmented Reality technique. In this technique, the marker used for object tracking has been replaced with pattern recognition or pattern recognition of an object. The study results showed that experiments using this algorithm could track targets with good and faster performance and a maximum level of accuracy.
Adaptive feature aggregation network for nuclei segmentation

Nuclei instance segmentation is essential for cell morphometrics and analysis, playing a crucial role in digital pathology. The problem of variability in nuclei characteristics among diverse cell types makes this task more challenging. Recently, proposal-based segmentation methods with feature pyramid network (FPN) has shown good performance because FPN integrates multi-scale features with strong semantics. However, FPN has information loss of the highest-level feature map and sub-optimal feature fusion strategies. This paper proposes a proposal-based adaptive feature aggregation methods (AANet) to make full use of multi-scale features. Specifically, AANet consists of two components: Context Augmentation Module (CAM) and Feature Adaptive Selection Module (ASM). In feature fusion, CAM focus on exploring extensive contextual information and capturing discriminative semantics to reduce the information loss of feature map at the highest pyramid level. The enhanced features are then sent to ASM to get a combined feature representation adaptively over all feature levels for each RoI. The experiments show our model's effectiveness on two publicly available datasets: the Kaggle 2018 Data Science Bowl dataset and the Multi-Organ nuclei segmentation dataset.
Automated building and analysis of Ukrainian Twitter corpus for toxic text detection

Toxic text detection is an emerging area of study in Inter-net linguistics and corpus linguistics. The relevance of the topic can be explained by the lack of Ukrainian social media text corpora that are publicly available. Research involves building of the Ukrainian Twitter corpus by means of scraping; collective annotation of 'toxic/non-toxic' texts; construction of the obscene words dictionary for future feature engineering; and models training for the task of text classi cation (com-paring Logistic Regression, Support Vector Machine, and Deep Neural Network).
Practical training of students of University in the administration and the executive authorities of Region as a condition for professional development (on the example of the project “Continuous practice”)

Shown is the role of practical training of students of higher education in the administration and executive authorities of the region in a dispersed format as a condition for professional development and a source of improving the level of soft skills. The article reveals the work experience gained at the Institute of Humanities and Language Communications of the Pskov State University within the framework of the project “Continuous Practice” in 2019–2021. An experimental test of the effectiveness of the proposed methodological approach for involving students in practical training in a dispersed format in the executive authorities of the region was carried out, an increase in the relative number of students who showed medium and high levels of readiness for professional activity was shown.
TRACS - Transformer for Video Captioning and Summarisation.pdf

Video summarisation is the process of creating a meaningful and self-explanatory summary of a given video by automatically selecting keyframes and thus creating a short and concise video summary of the original video clip. Video captioning refers to the task of automatically generating natural language description of a given video to provide some additional or interpretive information. Video summarisation and video captioning are often considered as two different tasks, each with a diverse application field. Thus, we propose an approach to jointly combine these two tasks and present a model which generates a short video summary along with a relevant caption. We make use of self-attention based transformer network combined with Multi Layer Perceptron (MLP) with multiple hidden layers for video captioning and video summarisation. We aim to demonstrate that the joint model can attain better performance than many of the previous approaches in both of the individual tasks. Our proposed model is based on the fact that both of the above mentioned tasks of captioning and summarisation will improve the performance of the other one as both the tasks are complementary to each other
The RAMPDOOR HYDRAULIC SYSTEM MODIFICATION OF ANOA PANZER COMBAT VEHICLE

Panzer Anoa 6x6 is a combat vehicle on tires where the first generation of it is made by PT Pindad (Persero). It can mobility, protection and carrying capacity. The ramp door on the Anoa 6x6 APC armored vehicle is driven by a hydraulic system to support the mobility of personnel when exiting or entering the vehicle. The components of the hydraulic system driving the Panzer Anoa 6x6 APC ram door include batteries, power packs, solenoid valves, hydraulic hoses, and hydraulic cylinders. These problems include the ramp door often not functioning, the ramp door moving too slowly and often experiencing congestion when the ramp door is working. These constraints often occur because the pump in the hydraulic system is driven by an electric motor that gets its power source from the battery. The fluid is pressed and flowed through a hydraulic pipe, then the flow of the pressurized fluid is regulated by a solenoid valve to the hydraulic cylinder to move the ramp door. This study uses a pure experimental quantitative method with empirical calculations to obtain a tool with the desired specifications. To move the ramp door weighing 200 kg with a maximum opening angle of 100 degrees in 8 seconds, the heaviest load received by the cylinder is 23557.44 N, the working pressure that occurs in the cylinder is 87.49 bar, where the fluid discharge will flow to the pump. of 2164.77 liters/minute, with a pump power of 394570 Watt and to continue the rotation of the engine with a rotation of 2814.13 rpm (idle) to the hydraulic pump using a pulley mechanism with a ratio of 1: 0.15.
Strings as Collections

Strings are much more robust than they appear to be. They have several properties and capabilities that you can use methods to unlock to manipulate and manage contents of strings. These include finding the length of the string, extracting a specific character from a string, comparing strings, and pulling out a substring out of a larger string.
The Representation of Politeness in EFL Clasroom: An Investigation of Language Used by Lectures and Students in STKIP PGRI Bangkalan

&lt;span lang="EN-US"&gt;Politeness is a person's politeness in speaking, so that between the speaker and the listener do not feel threatened (offended) in politeness, there are two opinions namely the politeness strategy and the politeness principle. Both are the same, only differ in classifying. &lt;/span&gt;&lt;span&gt;P&lt;/span&gt;&lt;span lang="EN-US"&gt;oliteness strategy consists of off record, on record, negative politeness and positive politeness. The politeness principle&lt;/span&gt;&lt;span&gt;, &lt;/span&gt;&lt;span lang="EN-US"&gt;consist of the tact maxim, generosity maxim, approbation maxim, modesty maxim, s&lt;/span&gt;&lt;span&gt;y&lt;/span&gt;&lt;span lang="EN-US"&gt;mpathty maxim and agreement maxim.&lt;/span&gt;&lt;span&gt; T&lt;/span&gt;&lt;span lang="EN-US"&gt;his study examined conversations between lecturers and students. &lt;/span&gt;&lt;span&gt;The &lt;/span&gt;&lt;span lang="EN-US"&gt;samples&lt;/span&gt;&lt;span&gt; of this research&lt;/span&gt;&lt;span lang="EN-US"&gt; were from screenshot of the teaching-learning conversation between lecturers and students&lt;/span&gt;&lt;span&gt; via whatsapp. Collecting the data, &lt;/span&gt;&lt;span lang="EN-US"&gt;analyzing and classifying were conducted &lt;/span&gt;&lt;span&gt;word by word&lt;/span&gt;&lt;span lang="EN-US"&gt;. The results of this study were students and lecturers often used language clearly and to the point, which is included on the record, namely using the sentence directly&lt;/span&gt;&lt;span&gt; and also they used politeness priciple&lt;/span&gt;
Impact of Teaching English through Online Virtual Classes on Developing Students' Fluency

The aim of this study is to investigate the effectiveness of teaching English online course through virtual class (blackboard) on developing students' English language speaking fluency. To verify this hypothesis, the researcher conducted English speaking course of 7weeks for the first common year students during first semester. The researcher conducted qualitative and quantitative study to investigate learners' levels and fluency in speaking. The participants in this study were (60) first common year students at jouf university. The researcher used the questionnaire and pre and posttests of speaking to investigate learners' levels and the progress that happen in their levels after finishing the course. Besides, many speaking activates and quizzes were applied to help learners to practice speaking. The course duration was 7 weeks. The study took place in Saudi Arabia, in March- 2021. The result of the pre and posttests was significantly different in favor of the post test. The levels of students were developed dramatically. The study recommends, the need of effective speaking program for developing students' English speaking fluency through different online learning programs or any other effective communicative learning methods.
Android-Based Community Service Information System

The development of technology has a very important role for the community in their daily activities, currently it is very supportive for the community to get facilities that are easy to use, one of which is in the service of filing letters at the village office. The Village Office opens services to the community in the scope of the Village, including services in correspondence, both cover letters, permission letters and certificates. The web-based information system can be used to help village officials or officials to serve their communities online and can be done anywhere, with the existence of a community information system that can be served quickly and accurately. but not all village offices have information systems to serve the community, most village offices still use Microsoft Word and Excel, and people who submit are not given soft copies so that it will be difficult if the letters that have been printed on paper media are damaged or lost, therefore this research was made to help village officials provide a faster and more accurate service process by creating a system that produces information and services to the community, the system is a computerized system that can be accessed online such as the Paseh Kaler Village community service information system that can provide correspondence services without having the community come to the village office, the conclusion is that this system helps the community get fast, accurate and accurate services without having to queue at the village office.
Digital Tools Used in <i>Bahasa</i> Indonesia for Non-Native Speakers (BIPA) Online Learning in Canggu Community School

To accommodate online learning for young learners, teachers should find digital tools to create interactive teaching materials and to teach the learners online.Teaching Bahasa Indonesia untuk Penutur Asing (BIPA) or Indonesian as Foreign Language online has been extra work for the teachers since there was a lack of online resources that fit the young learners.Therefore, teachers should make their teaching materials like worksheets, videos, audios, and games to create effective, engaging, and meaningful online learning.This study was conducted to find out the digital tools used by the BIPA teachers in an international school, known as Satuan Pendidikan Kerjasama (SPK) Canggu Community School.This was a qualitative study by utilising interviews, questionnaires, and observation to collect the data.The result of this study showed that the school utilised digital tools included digital tools for video conferencing, tools for live interactive discussion, tools for reading as well as tools for live interactive games.The digital tools to support asynchronous learning included the tools for creating videos, audio, e-books, and language games.Among those tools, some tools could be employed both in synchronous and asynchronous learning.These findings indicated that teachers have various digital tools to facilitate interactive teaching and learning of BIPA.