Reviewerly/exHarmony huggingface dataset:
FORMING ECOLOGICAL THINKING OF STUDENTS IN CONDITIONS OF VOCATIONAL TRAINING

The relevance of the research topic is due to the growing public attention to identifying effective ways to reduce environmental pollution, which requires a transition from anthropocentrism to ecocentrism, where the highest value is the harmonious development of man and nature. The purpose of the article is to identify the most active student communities that carry out environmental education work on the territory of the city. Samara, as well as determining the practical significance of their creation in the formation of students' ecological thinking. Research methods: content analysis method and sociological research method. Based on the views of respondents, the authors formulated indicators for measuring the effectiveness of the formation of ecological thinking through eco-communities and its monitoring in terms of professional training. The significance of the work is due to the conclusions of the study, which allow us to state that the formation of ecological communities makes it possible to fill the lack of knowledge in the field of environmental protection and, undoubtedly, prepare individuals to choose the least environmentally hostile ways to solve their problems and meet their needs. The article is intended for heads of educational organizations, the pedagogical community and students in order to replicate the positive experience and its further implementation in the conditions of professional training.
Sistem Pendukung Keputusan Pemberian Jumlah Pinjaman Kepada Calon Nasabah Bumdes Menggunakan Metode Topsis (Studi Kasus Bumdes Gergas Mandiri Kecamatan Wampu)

The development of the savings and loan business is currently growing rapidly as a financial institution in alleviating poverty . BumDes is a business owned by a village or sub-district that is engaged in lending or channeling funds to people who need to develop their business. The BUMDes conducts deliberation meetings in determining loan granting. There is often disagreement between the parties that will borrow. This resulted in unequal distribution of loans to BUMDes members. Although the determination of the granting of the loan amount is fully determined by the BUMDes However, this Decision Support System will display the highest to lowest priorities of the prospective customer , so that it will facilitate and assist the BUMDes in making decisions. TOPSIS uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest distance (farthest) from the negative ideal solution to determine the relative proximity of an alternative to the optimal solution.
E-VOTING PEMILIHAN KETUA BEM UNIVERSITAS TIMOR BERBASIS MOBILE MENGGUNAKAN METODE WATERFALL

The Student Executive Board (BEM) of the University of Timor is a student organization located at the State University of Timor. In its implementation, BEM at the University of Timor acts as a forum or means for all students of the University of Timor to be able to express their opinions and to develop various potentials that students have. The election of the chairman of the BEM of the University of Timor is directly elected by the students by a general election process. The process of selecting the chairman of the BEM is still done manually so that there is a lack of interest from voters to participate because they have to go to the polling station. Therefore, the development of information technology today has brought great changes for humans, including to carry out voting so that the term e-voting (electronic voting) appears which provides convenience in voting. E-Voting is a general election process that utilizes information technology facilities or electronic devices, where part or all of the implementation process, from voter registration, voting, to vote counting, is carried out digitally. The function of voting is to gather the aspirations of all students, and then find a way out that is considered a good cross. Therefore, the researchers helped the election system easily and created an application for the election with the title "E-voting for the election of the chairman of the Mobile-based Student Executive Board (BEM) of the University of Timor using the waterfal method".
Perancangan E-library BNI Corporate University

The rapid development of websites both in terms of users and supporting technology has encouraged the emergence of many website creation service providers, one of which is BNI. Digital Library is the application of information technology as a means to store, obtain, and disseminate scientific information in digital format. Or in a simple analogy as a place to store library collections that are already in digital form.
Penerapan Data Mining Pengelompokan Hasil Diagnosa Pasien BPJS Berdasarkan Usia Menggunakan Metode Clustering (Studi Kasus: RSU Bidadari Binjai)

The hospital is a health service institution that provides complete individual health services that provide inpatient services. Because the large number of patient data in the hospital makes it difficult for the administration to process existing data and information, the authors want to group patient data at the hospital to produce information. and can also facilitate the hospital in providing information to patients. Cluster is finding a collection of objects in a group that are the same (or have a relationship) with others and different (or not related) with objects in other groups. The purpose of cluster analysis is to minimize the distance within the cluster and maximize the distance between clusters. And the Centroid on the cluster is the center point. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 2 of the criteria for disease symptoms, diagnosis results, age, group that has the highest set / value and the most patient diagnosis data, namely in Cluster 1 totaling 825. Patient data with diagnosis results using BPJS on Symptoms of High Fever and the diagnosis is Asthma, then age is&gt; 60 years. and the most intermediate data on patients who experience delinquency, namely in Cluster 1 amounted to 595 patient data with a diagnosis using BPJS on Symptoms of High Fever and the diagnosis is anemia, then the age used is&gt; 60 years.
Perancangan Aplikasi E-commerce Penjualan Bubuk Kopi Dengan Metode Customer Satisfaction Index (CSI) Berbasis Website Pada UD. Tanpak Sidikalang

The development of e-commerce at this time is increasingly rapidly marked by the increasing number of internet users in Indonesia. The conventional buying and selling process is still widely used in the era of increasingly rapid development of internet technology. However, the conventional buying and selling process is considered inefficient because it requires sellers and buyers to meet directly and also the sales coverage is felt to be less broad, so an efficient sales media is needed and has a broad coverage. So that these problems are not sustainable, an e-commerce website with a business to customer model will be built. The built e-commerce will provide a questionnaire page for customers which will later be implemented by the customer satisfaction index (CSI) method which produces a customer satisfaction index for the e-commerce that has been built. For software development, using PHP (Pear Hypertext Preprocessor) and HTML (HyperText Markup Language) as programming languages, MySQL as database server, Sublime Text 3 as programming support tools
A Method to Evaluate the Evidence Dependability on the Stimulus of Neutrosophic Set

In evidence theory, basic probability assignment plays an important role. The basic probability assignment is usually provided by experts. The evaluation of evidence dependability is till open issue, when preliminary data is unavailable. In this paper, we propose a new method to evaluate evidence dependability on the stimulus of neutrosophic set. The dependability of evidence was evaluated based on the truth degree between Basic Probability Assignments (BPAs). First, basic probability assignments were revamp to neutrosophic set. By the similarity degree between the neutrosophic set, we can obtain the truth degree between the Basic Probability Assignments. Then dependability of evidence can be computed based on its rapport with supporting degree. Based on the new evidence dependability, we formulated a new method for combining evidence sources with different dependability degrades. Finally, the validity of the proposed method is exemplified by the real life example.
Blockchain as an opportunity to upgrade the right to vote in listed companies

Voting rights in listed companies have traditionally not reached its potential. Blockchain technology offers an opportunity to foster participation by shareholders. The purpose of this study is to analyze the suitability of blockchain for corporations as a tool to overcome the current model inconvenience. An examination of key aspects, advantages and drawbacks of blockchain technology sets the scene for intertwining with the right to vote in listed companies. Legal modifications within the European Union law context are explained to capture the intention of the EU legislature to promote shareholder engagement. Despite this new movement to engage in more transparency and participated companies, some inconsistencies are still in place. A constructive criticism to the current state of law is necessary to upgrade the corporation decision cycle by technological options to vote in listed companies.
[Solution] Algorithmic Heap Layout Manipulation in the Linux Kernel

Memory safety violations remain a constant threat for programs.On the heap, adversaries can exploit such vulnerabilities by carefully controlling the heap layout and aligning adjacent memory objects of a particular type.Heap-layout manipulation has long been considered a dark art.With the rise of strong protection on the backward edge, heap layout manipulation is receiving renewed research interest and scrutiny.This paper introduces a framework for evaluating heap layout manipulation algorithms targeting the Linux kernel allocator, one of the prime targets of such attacks.With this framework, researchers can study heap layout modifications and potential mitigations to protect against attacks.
PCMask: A Dual-Branch Self-supervised Medical Image Segmentation Method Using Pixel-Level Contrastive Learning and Masked Image Modeling

Supervised deep learning methods have gained prevalence in various medical image segmentation tasks for the past few years, such as U-Net and its variants. However, most methods still need a large amount of annotation data for training, and the quality of annotation will also affect the performance of the model. To address this issue, we propose a novel self-supervised model named PCMask. Specifically, it is a self-supervised method with a dual branch suitable for pre-training the U-Net architecture with a ViT encoder. While the masked image modeling branch pre-trains the encoder through the reconstruction of masked tokens, the pixel-level contrastive branch utilizes a contrastive learning strategy to pre-train both the encoder and decoder. Its advantage lies in the introduction of the pixel-level contrastive learning strategy, which can improve the reconstruction of high-resolution features at different scales. We validate the effectiveness of the proposed framework by transferring the pre-trained UNETR backbone to two different datasets. Favorable results were obtained over existing methods.
Analysis of the Information System Integration of University Fusion Culture Communication Based on Network Video Automatic Generation Technology

Web services are self-describing and self-contained application modules, which have the advantages of platform independence and programming language independence. Service-oriented architecture is to use the above characteristics of Web services. Its innovation lies in solving the difficulty of manual production of network teaching resources, which is time-consuming, troublesome, long-term, and high-level requirements for teachers. Using this solution, any teacher can record the entire teaching situation and automatically generate two network teaching resources while teaching, which is easy to accumulate into a teaching resource library. The teaching process can be broadcast live on the Internet in real time (including video, audio, computer pictures, etc.). Based on the classic CNN-LSTM structure, the model adds a subject-verb-object classifier to the output of the LSTM network. Subject-verb-object information is the skeleton information of a sentence.
Motivation for Reading in English: A Needed Agenda in Pakistan

Motivation for reading is a desire and act to read for some cognitive and social reasons, which activate the readers to carry out their interaction with written materials for success and mastery in a subject. Reading motivation is a serious contributor to reading accomplishment and has the potential to stimulate reading skills development. However, the Pakistani context pursues learning motivation in e potential to promote reading skills development h (L2) learning motivation. Pakistani researchers have been seeking L2 (English) motivation. Based on secondary data sources and using qualitative data methods such as thematic analysis, this paper aims to focus on the need for English (L2) reading motivation. This paper has been divided into three sections. The first section deals with exploring learning motivation; the second deals with the scope of reading motivation in Pakistan. The third section tries to recommend some useful suggestions for the conduct of studies in reading motivation in Pakistan.
Challenges in machine learning application development

SAP is the market leader in enterprise application software offering an end-to-end suite of applications and services to enable their customers worldwide to operate their business. Especially, retail customers of SAP deal with millions of sales transactions for their day-to-day business. Transactions are created during retail sales at the point of sale (POS) terminals and those transactions are then sent to some central servers for validations and other business operations. A considerable proportion of the retail transactions may have inconsistencies or anomalies due to many technical and human errors. SAP provides an automated process for error detection but still requires a manual process by dedicated employees using workbench software for correction. However, manual corrections of these errors are time-consuming, labor-intensive, and might be prone to further errors due to incorrect modifications. Thus, automated detection and correction of transaction errors are very important regarding their potential business values and the improvement in the business workflow. In this paper, we report on our experience from a project where we develop an AI-based system to automatically detect transaction errors and propose corrections. We identify and discuss the challenges that we faced during this collaborative research and development project, from two distinct perspectives: Software Engineering and Machine Learning. We report on our experience and insights from the project with guidelines for the identified challenges. We collect developers' feedback for qualitative analysis of our findings. We believe that our findings and recommendations can help other researchers and practitioners embarking into similar endeavours.
The Need Analysis of Online Placement Test for Teaching Indonesian to Speakers of Other Languages (BIPA)

This research aimed to investigate the need for online placement tests for Teaching Indonesian to Speakers of Other Languages (BIPA) at Bengkulu University. This research used a descriptive qualitative approach and the method was a semi-structured interview. Three international students from Cambodia were interviewed in different Zoom video call sessions during this research. The data collected were then analyzed by using the content analysis technique. There are some findings in this research. First, there was no placement test for BIPA students at Bengkulu University. Second, according to the existing condition of the students, they had different reasons, exposures, experiences, and frequencies in learning or using Indonesian language. Third, the students could not do written tests or paper-based tests (PBT) that required them to come to the test venue in Bengkulu University during the pandemic situation, so an online placement test was used as an alternative. Moreover, the students had some topic preferences to be learned and discussed in Indonesian language. These findings revealed that an online placement test is needed to find out the students’ abilities and to place the students into appropriate levels before conducting BIPA course at Bengkulu University. In the end, the result of this research can later be used to compile placement test materials in accordance with the needs of BIPA students.
A Python Framework for Objective Visual Quality Assessment

This work introduces a Quality Assessment Framework that provides researchers with the flexibility, consistency, and scalability they need to evaluate and compare quality metrics, promoting the reproducibility of results. The framework is open source (Python) and currently has 11 visual quality metrics that use 3 different libraries: Scikit-video, FFmpeg toolkit, and PyMetrikz. It can be easily expanded to include more metrics in the future and allows testing on several quality datasets. To validate it, we tested it on two datasets and compared the results with the results obtained by other authors in the literature. The results are consistent with those reported by external studies. With this evidence, new image/video metrics and datasets can be integrated into this framework. This will allow researchers to compare their methods with a wide number of quality metrics on several datasets in a fast and efficient way.
Publishing data and related resources in domain communities

The EOSC Declaration and its principles, guiding the implementation of the EOSC, are the tangible result of the EOSC Summit of 12 June 2017.They have been endorsed by the undersigning stakeholders, found in the List of Signatories, who also committed to specific actions to implement it (Action List).As such, the Declaration does not commit the European Commission and Union institutions.
Extended Siamese Convolutional Neural Networks for Discriminative Feature Learning

Siamese convolutional neural networks (SCNNs) has been considered as among the best deep learning architectures for visual object verification.However, these models involve the drawback that each branch extracts features independently without considering the other branch, which sometimes lead to unsatisfactory performance.In this study, we propose a new architecture called an extended SCNN (ESCNN) that addresses this limitation by learning both independent and relative features for a pair of images.ESCNNs also have a featureaugmentation architecture that exploits the multi-level features of the underlying SCNN.The results of feature visualization showed that the proposed ESCNN can encode relative and discriminative information for the two input images at multi-level scales.Finally, we applied an ESCNN model to a person verification problem, and the experimental results indicate that the ESCNN achived an accuracy of 97.7%, which outperformed an SCNN model with 91.4% accuracy.The results of ablation studies also showed that a small version of the ESCNN performed 5.6% better than an SCNN model.
FIGURATIVE USE OF LANGUAGE IN INFORMATION TECHNOLOGY: A CORPUS-BASED STUDY

New technologies have pervaded many aspects of modern life and influenced human communication, emotions and language. This close interaction between people and computers is reflected in language, in the use of computing terms applied to human emotions, relationships and everyday activities. Metaphor plays an important role in the language of information technology and it is widely used in creating new vocabulary. This paper explores conceptual metaphors in order to determine their usage in the information technology research papers, through describing similarities and differences in the conceptualisation of these metaphors within two languages. The aim of the paper is to quantitatively and qualitatively present conceptual metaphors, regarding computers and the Internet, found in ten research papers written in English and in Serbian. These expressions are compared with respect to their frequency in the papers and the degree to which metaphorical vocabulary is present in analysed research papers. The results indicate that all authors have used conceptual metaphors, although papers in Serbian include a slightly larger number of expressions than papers in English. Apart from differences and diversities, the analysis also identifies a remarkably similar structure of the mapping in both languages.
LINGUISTICS AND DIGITAL MEDIA DISCOURSE STUDIES – THEORY AND PRACTICAL EXPERIENCE

LINGUISTICS AND DIGITAL MEDIA DISCOURSE STUDIES – THEORY AND PRACTICAL EXPERIENCE
Utilizing Nature’s Potential to Improve Student Numeration Literacy Ability at SDN Sogo 2, Madiun Regency

The ability that must be developed for elementary school students is numeracy literacy. The purpose of numeracy literacy skills is that students can develop other skills in solving various problems. In fact, the numeracy skills regarding fractions and literacy in students' storytelling abilities still do not meet the minimum completeness score. So we need learning media by utilizing the natural potential around the school so that it is easy to obtain. The media used is a collage of grains and puppets from used cardboard. The study used a class action method with grade 2 students as subjects. Data collection techniques were through observation, interviews, documentation, field notes, and tests. Data is processed through reduction, description, and verification. Meanwhile, the validation used data triangulation. The results showed that there was an increase in the ability to understand fractions in each cycle. Cycle I average value of 70 and completeness of 67%. While cycle II the average value was 78 with 89% completeness. In the ability to speak cycle I, the average value was 74 with 67% completeness. While cycle II the average value is 79 with 89% completeness
An Improved GAIN-Based Model for Image Imputation

Missing data represent a main issue having a considerable impact not only on the inference quality but also on the prediction relevance. A problem that researchers have constantly tried to solve, ranging from Statistics to Deep Learning through Machine Learning. Recently, a growing interest is being given to Deep Learning models and particularly to Generative Adversarial Networks (GAN) given their interesting performance and their adaptability to various scenarios. In this paper, we propose an improvement of Generative Adversarial Imputation Nets (GAIN) which is one of the main GAN-based models having proved its worth in image imputation. The results found confirm the proposed improvement efficiency.