Reviewerly/exHarmony huggingface dataset:
Accounting Transformation in Digital Era

The progression of technology has undeniably yielded a profound and incontrovertible influence upon the realm of accounting. Historically, accountants relied upon manual calculations and paper-based ledgers to reconcile financial statements, a practice that often resulted in the generation of imprecise and labour-intensive financial records, plagued by numerous computational inaccuracies. However, within the context of the present dynamic era, enterprises specializing in technology have pioneered the conception and refinement of automated accounting software, thereby facilitating a streamlined, precise, and time-efficient accounting process. Over recent years, the landscape of the accounting profession has experienced radical metamorphosis following the advent of blockchain technology and artificial intelligence, which have indelibly revolutionized the very foundations of accounting, ushering in new paradigms and prospective trends.
GEDUNG APRESIASI SENI ANAK BERKEBUTUHAN KHUSUS DI BALIKPAPAN

In the context of art, the perspective of ordinary people sees the work of Children With Special Needs (ABK) only based on compassion. Thus it is felt necessary to plan and design an art appreciation building to appreciate the work of ABK in Balikpapan. The design of this building aims to provide facilities for ABK as a means of artistic expression as well as a place to appreciate artistic talent that is in accordance with the character of ABK. The Experience concept and the Behavioral Architecture method were chosen as a solution to the problem of presenting sensory experiences of space users, especially ABK, whose application includes behavioral consideration.
PERPUSTAKAAN UMUM REKREATIF DI BANJARBARU

The design of a Recreative Public Library in Banjarbaru is motivated by the low interest in the reading culture of the community, especially in the millennial generation and the need for new places and facilities in the library that can accommodate various activities, especially in terms of sharing, discussing, relaxing, educating and recreational (Edutainment) and other activities aligned with the public library. Through the concept of Edutainment, the design of the Recreative Public Library can be a forum for developing and increasing interest in the reading culture of the community as well as being an additional facility for edutainment activities in accordance with the context of "the pleasure of reading" by using the symbiosis method and a recreational architectural approach which can highlight the function of the library as education but also as a place of recreation, besides that it can also reinterpret the user's view of library design in a more modern era.
GEOCHEMICAL AND ISOTOPIC CHARACTERISTICS OF DISSEMINATED SULFIDE MINERALIZATION OF OROGENIC GOLD DEPOSITS OF THE YANA-KOLYMA METALLOGENIC BELT (NORTH-EAST OF RUSSIA)

The results of the study of the chemical composition and isotopic characteristics of the sulfur of disseminated pyrite and arsenopyrite from metasomatites of the Malo-Taryn, Badran, Khangalas, V’yun and Shumniy orogenic gold deposits of the Yana-Kolyma metallogenic belt are presented. Pyrites and arsenopyrites have a non-stoichiometric composition. Arsenopyrites are characterized by sulfur enrichment (As/S from 0.77 to 0.99), minor of Sb, Co, Ni and Cu with a total concentration of up to 0.15 wt %. Pyrites contain the same elements (total concentration up to 3.71%), less often Pb, depleted with S and enriched with As (up to 3.16 wt %). The ratio of Ni/Co in pyrite is 10.0 Ni/Co 0.1, it is characteristic of hydrothermal negatively charged pyrite with high conductivity (p-тип). It is assumed that the “invisible” Au+ is found in disseminated pyrite and arsenopyrite mainly in an isomorphic structurally related form. A range of values δ34S from –6.4 to +5.6‰ in sulfides, is characteristic of juvenile/magmatic sources of sulfur of the studied deposits.
Analytical study for cyber threat intelligence (CTI)

Cyber Threat Intelligence (CTI) involves collecting and analyzing cyber security data using advanced algorithms and rigorous techniques to identify and address potential threats, harmful incidents, and existing vulnerabilities that cybercriminals exploit. Threat intelligence facilitates faster and well-informed security decisions while understanding threat actors' motives, targets, and attack patterns. Defenders employ diverse strategies to prevent, detect, and disrupt incoming attacks. However, traditional security solutions are inadequate for today's complex security landscape, often proving ineffective against the rapid proliferation of cyber threats. Automating information sharing related to cyber threats presents new challenges for researchers and analysts, requiring them to detect deceptive practices and produce accurate, timely, and pertinent intelligence. This research explores the profound impact of Artificial Intelligence (AI) and Machine Learning (ML) in cyber security, including their various types, applications, challenges, and promising future. Leveraging AI knowledge, particularly ML technology, organizations can strengthen their defenses against malicious threats, reduce cyber risks, and establish a dynamic, automated, and up-to-date security system by analyzing security data.
Integrating augmented reality technology in higher education

In response to the rapidly evolving educational landscape, which has been further complicated by the COVID-19 pandemic, this research aims to comprehensively examine the enhancement of e-learning via the use of metaverse technology. This study employs a literature review methodology to examine the practical applications and theoretical foundations of metaverse technologies in educational settings. The core topics are on the integration of immersive learning environments, augmented reality, and virtual reality, with a focus on boosting e-learning experiences. This inquiry gains increased importance in the context of the global pandemic, as it has amplified the need for flexible and adaptive instructional methods. This research examines the impact of the metaverse on educational approaches, collaborative learning, and student involvement. It offers valuable insights that bridge the divide between theoretical discussions and real-world implementation. Furthermore, the findings of this study contribute to a deeper understanding of the ever-evolving field of educational technology. They also provide a valuable framework for policymakers, academics, and instructors to successfully address the challenges posed by hybrid and remote learning models. The primary aim of this study is to provide a scholarly contribution to the ongoing discourse on educational optimization, specifically examining the dynamic convergence of metaverse technologies and the requisite adaptations required in light of global disruptions. This quantitative study examines the effects of metaverse-enhanced e-learning on student responses utilizing the Kaggle-sourced "E-Learning Student Reactions" dataset. A structured quantitative design is utilized to examine the associations between educational experiences based in the metaverse and a range of student responses. The Kaggle dataset is utilized to extract critical variables, which consist of student engagement metrics, time spent on activities augmented by the metaverse, and perceived learning outcomes. The study employs descriptive and inferential statistical methods to identify trends, correlations, and patterns. The protection of pupil data anonymity and confidentiality is ensured by ethical considerations. The results of this study enhance our comprehension of the quantitative dimensions of e-learning enhanced by the metaverse and offer valuable perspectives for scholars and practitioners.
Face recognition in digital documents with live image

The primary point of this undertaking is to take care of the issue of duplicating testaments we are proposing a computerized authentication framework dependent on square chain innovation and to confirm the explorer's personality utilizing live camera, which permits quicker union and increasingly generalizable portrayals. So as to take care of the issue of duplicating testaments, the advanced authentication framework dependent on block chain innovation would be presented. The framework produces the electronic record of a paper statement that goes into the database with other related information, and ascertains its hash esteem. It stores the hash in the chain frame an opportunity into the square at that point. The structure will generate a related QR code and request string code to enter the paper testament, thus verifying the paper statement's validity. The platform enhances efficiency activities at each level by organising block chain highlights. The invention of the Block chain gives changelessness and freely undeniable exchanges, these Block chain properties can be used to create the advanced testament that is hostile to false and easy to confirm.
COTTAGES IN TELUK ARU BEACH TOURISM AREA KOTABARU REGENCY

Teluk Aru beach is a tourist attraction that is famous for its natural beauty, culture, and local wisdom of the Mandar tribe. This is the potential and attractiveness of the Teluk Aru coast. The absence of lodging facilities and the long distance from the district center make tourists reluctant to visit. So it is necessary to have accommodation facilities in the form of lodging in accordance with the cultural characteristics of the community, traditional architecture and the natural environment. The result of the design is a cottage which is the result of exploration of the transformation of elements of traditional Mandar (Boyang) house into a modern form and appearance. So that this cottage will become an accommodation facility that can provide the embodiment of community culture, traditional architecture and natural potential. &#x0D; Keywords: Boyang House, Cottage, Mallasuang Manu Culture, Mandar Triblr, Teluk Aru Beach.
TAMAN EDUKASI AKTING DI BANJARBARU

The Acting Education Park is a place to practice acting and a public open space for the process of acting practice activities. The design of the Acting Educational Park was motivated by the lack of acting training places in Banjarbaru and the increasing growth of the economy and the creative industry, especially the film sector and the like. The design problem is a park that can accommodate acting training activities and the community can also participate in public spaces. The method used is using architectural programming. The solution uses elements of basic training in acting, namely body exercise, vocal exercise, and mental exercise, and is developed into the design of the Acting Education Park.
Geological Document Layout Analysis via Synthetic Dataset Creation

Summary A document page may contain not only text, but also figures, tables, titles and captions. Locating these components which make up a page, a task called document layout analysis, allows further processing of the document, for example, table extraction and image classification for the located tables and figures respectively, and is therefore vital towards converting unstructured documents into knowledge. Computer vision can be used to perform document layout analysis, but publicly available datasets are sourced from domains outside of oil and gas and thus are not directly applicable. Manually labelling datasets is time consuming; therefore, we present a method of creating a synthetic dataset to address the issue of limited labelled data. Finally, as a downstream task, we discuss the problem of table cell type classification, which is a first step towards table understanding and extraction of knowledge from tables.
PUSAT OLAHRAGA BOLA VOLI TANAH BUMBU

The design of the Tanah Bumbu Volleyball Sports Center was motivated by the many people’s interest in Tanah Bumbu Regency in the sport of volleyball. With quite a lot of public interest, but the existing volleyball sport facilities and infrastructure are quite limited because there is only an outdoor volleyball field and the existing volleyball sport field standards are still lacking. The purpose of designing the Tanah Bumbu Volleyball Sport Center is as a place that complies with the standards to accommodate all volleyball sports and activities. The application of the concept of standardization by applying standards to the design is found in the plan, appearance, interior layout, outer space and color.
Resume screener system

This research paper introduces a state-of-the-art "Resume Screener System" aimed at revolutionizing and automating the labor-intensive task of resume analysis for recruitment purposes. Developed using Python, the system integrates Artificial Intelligence and Natural Language Processing techniques to streamline the hiring process. Utilizing a dataset sourced from Kaggle, comprising a thousand resumes converted into textual data, the system undergoes comprehensive model training and evaluation. Employing advanced machine learning methodologies such as the Support Vector Classifier (SVC) and Neighbours Classifier, the system rigorously tests and analyzes these models to determine the most effective approach. By evaluating each model's performance against predefined criteria, the system identifies the optimal model for resume screening. The primary objective of this work is to provide recruiters and HR professionals with an innovative tool that efficiently matches job requirements with candidates' skill sets as presented in their resumes. By automating the initial screening phase, the system not only saves time and effort but also ensures a more objective and consistent evaluation of applicants. This research contributes to the advancement of machine learning applications in the field of human resources, illustrating the transformative impact of technology on traditional hiring practices.
Combinatorial model based on extreme learning machine for network traffic prediction

In order to improve the quality of network services, help rationalize the allocation of network bandwidth resources, and ensure the security of network operation, a better network traffic forecast is required. To address the problem that a single predictive model does not accurately forecast network traffic with complex characteristics, we propose a combination forecasting model combining decomposition techniques with a single forecasting model. By predicting real network traffic, the findings show that the CEEMD-ELM works can improve the performance of network traffic forecasting. It is highly reliable compared with the single ELM model and has a stronger prediction capability, which can make more accurate predictions of network traffic.
M-TBQA: Multimodal Table-Based Question Answering

In recent years, there has been considerable interest in the research on table-based question answering (TBQA). These studies aim to understand the table content and generate the answer for the given table. With the rapid growth of the Internet, table content is no longer confined to pure text but also includes images. However, most previous methods overlook the important visual information linked to table cells and focus solely on parsing questions to logic form using textual tabular data. This limitation prevents the exploration of the multimodal application of TBQA. Therefore, we propose a novel task multimodal table-based question answering (M-TBQA), which is required to perform multimodal question answering on tabular data with images. Specially, M-TBQA initially identifies candidate rows relevant to the question using a table-relevance net, and then predicts the expected answer using an answer prediction net. This approach effectively harnesses multimodal information from both tabular data and images to predict answers accurately. Additionally, it highlights the significant role of images in the M-TBQA task. To facilitate related research in the further, the dataset will be released at https://github.com/cooperResearch001/M-TBQA/tree/main
An evaluation method for the prediction effect of classification models based on deep learning

In the field of machine learning, we realize that success does not depend solely on the structure and number of parameters of the model, but also on model evaluation. In cla-ssification tasks, when faced with unlabeled data, traditional methods can no longer accurately assess the confidence level of model predictions. Therefore, this paper proposes a novel evaluation method to evaluate the difference between the model prediction results and the clustering results by selecting key features and clustering to measure the confidence of the model in predicting unlabeled data. With this approach, we were able to accurately assess the model's confidence in the predictions of unlabeled data and experimentally demonstrated its feasibility. At the same time, this paper also expands the field of research beyond binary classification cases, but covers more general m-ulticlassification cases.
Human Keypoint-Guided Fall Detection: An Attention-Integrated GRU Approach

In recent years, the convergence of deep learning and medical advancements has seen rapid growth, reflecting an increasing societal aspiration for a superior quality of life. Falls, however, remain a principal threat causing grave injuries and mortalities, with the elderly being particularly vulnerable. This accentuates the imperative need for advanced computer vision based fall detection technologies. In this study, the maximum inter-frame difference method is first introduced to extract the keyframes from a video of the fall process. Subsequently, the skeletal keypoint detection algorithm via ViTPose++ is employed to derive comprehensive human skeletal keypoint coordinates. Then, the Gate Recurrent Unit (GRU) is introduced to recognize the inherent inter-frame correlation in fall detection. To further amalgamate spatio-temporal features, a fall detection algorithm via end-to-end neural network is proposed integrating the Attention mechanism with the GRU model. Ultimately, experiments on the public dataset for fall detection have affirmed that this enhanced GRU-Attention model secures an impressive accuracy rate of 99.28% with an AUC of 99.11% and improving the prediction efficiency by as much as 10 times.
The Metaverse – The Next Big Thing in Education: A Systematic Literature Review

Metaverse utilization in education is an area with a huge potential of development during the current age of technology innovation. Using a PRISMA-adapted methodology, we performed a qualitative systematic literature review of the main scientific production related to metaverse in education. We analyzed 48 academic papers and formulate six research questions. We discovered that, despite fertile, the research area is in its early stages of development and there is a need for more quantitative analyses. We grouped the paper keywords into five categories, which are virtualization, education, technology, library, research and others, and identified seven major themes from the findings of the papers: (i) the place of the metaverse in education in general, (ii) the possible implementations of the metaverse into different courses, (iii) the direct instructional support of the metaverse in education, (iv) the indirect instructional support of the metaverse in education, (v) the variables/conditions of a successful metaverse implementation in education, (vi) the possible challenges of metaverse in education, (vii) encouraging research regarding metaverse in education. Finally, we proposed a more comprehensive definition for the metaverse, discussed potential extensions of metaverse in education and possible threats, and presented the main implications from research, policy and practical perspectives.
Teacher preparation for implementation of E-learning in the educational process of a German high school

The article examines the problem of using electronic learning (E-learning) in the training of future teachers in German universities, which is a fairly new and at the same time promising direction of comparative pedagogy. This problem has gained particularly active development in recent years, which is largely due to the spread of digital forms of education, which were recognized in Germany as a special category of the latest educational technologies. It is assumed that the constant introduction of new pedagogical technologies will provide wider opportunities for the development of pedagogical universities in Germany and maintain competitiveness in the international market of educational services. It is believed that successful e-learning scenarios take into account the necessary didactic conditions of learning in different contexts, such as authentic or social learning contexts, and provide substantial digital support for learning materials. The authors consider the use of digital learning tools, which have a differentiated presentation and characterize the most widespread types of e-learning used in the training of future teachers in Germany, and cover the modern spectrum of posting event scenarios and lecture materials on the Internet for fully virtual teaching, namely: computer online computer training, internet training, blended learning, exclusively virtual training, and distance training on the Internet. An important aspect of e-learning is the tools and media for its implementation, which include software for portals, a system for managing administrative functions (personnel management and student management), course management, a learning platform, and tools for creating and collaborating on a network. E-learning is widely used in German universities; it supports learning processes through the use of various digital technologies that provide operations in various ways. Teachers are offered a choice of teaching and learning scenarios, and the e-semester reserve is aimed at further supporting classroom teaching.
Membangun Website E-commerce di Toko Sean Shoes Menggunakan Metode Rapid Application Development

&#x0D; &#x0D; &#x0D; &#x0D; Sean Shoes store is a store that sells women's shoes. Constraints experienced by the Sean Shoes store are frequent errors in reporting and making it difficult for the owner to obtain information in a fast and accurate time. The Sean Shoes store requires an e-commerce web-based sales facility or service that can meet the needs and can facilitate the Sean Shoes store in running its business such as sales, purchases, promotion of goods, payments and transactions. This system is designed using UML modeling built using the PHP programming language (framework codeingniter) with the Rapid Application Development system development method. the result achieved by the author is an online sales system at the web-based Sean Shoes store using the PHP programming language and using the codeingniter framework. The shoe sales system at the Sean Shoes store will make it easier for customers to make transactions and help the store promote their products. This system has been tested by testing Black Box testing and beta testing through questionnaires to website users. The results of the Black Box test show that the functions on this website system as a whole have been running well without any errors.&#x0D; &#x0D; &#x0D; &#x0D;