Reviewerly/exHarmony huggingface dataset:
Feasibility and Effectiveness of the MABIOMET Mobile Device Used to Determine Heavy Metals and Metalloids Bioaccessibility in Mining Soils

MABIOMET is a transportable and lightweight device capable of reliably and replicably quantifying the bioaccessibility of heavy metals and metalloids in the laboratory according to the Unified Bioaccessibility Method (UBM) and ISO17942. This study shows the feasibility and efficacy in its measurements at laboratory scale for the two stages of the bioaccessibility in vitro study ("gastric" and "gastrointestinal") in four phases. Phase first: implementing the UBM method in the laboratory. Obtained results show the measurements were within the reliability range of the certified material BGS-102: As 5.4 ppm ± 2.4 and Pb 13.6 ppm ± 6, with an average relative standard deviation (RSD%) of 18% and 8%, respectively. Second phase:15 repetitive tests were carried out in MABIOMET for both stages with the certified material BGS102 and the average bioaccessible concentrations of As and Pb were within the material's confidence limit, with an RSD of 7% and 17%, respectively. Third phase: 15 repetitive tests were performed on the same representative sample of an abandoned tailing showing that the results obtained for Pb, Cu, Fe and Zn were within the confidence limits established in the UBM method original in the laboratory, with an RSD of 4.3%, 2.4%, 11.8% and 4.6%, respectively. Four Phase :two repetitive tests were with representative samples in the 5 abandoned tailings. The average standard deviation for both stages of the UBM process was less than 20% for the set of elements analyzed (As, Pb, Cu, Fe, Pb and Zn) These results validate the scaling, performance and design of the MABIOMET equipment. The quantification of total heavy metal concentration was performed with a PXRF and results were obtained with RSD% below 10%. The control of the operational variables of the device were integrated to an on-line system, keeping the rotational speed at 30 rpm and the temperature at 37°C.
Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding

Spatio-temporal trajectories provide valuable information about movement and travel behavior, enabling various downstream tasks that in turn power real-world applications. Learning trajectory embeddings can improve task performance but may incur high computational costs and face limited training data availability. Pre-training learns generic embeddings by means of specially constructed pretext tasks that enable learning from unlabeled data. Existing pre-training methods face (i) difficulties in learning general embeddings due to biases towards certain downstream tasks incurred by the pretext tasks, (ii) limitations in capturing both travel semantics and spatio-temporal correlations, and (iii) the complexity of long, irregularly sampled trajectories. To tackle these challenges, we propose Maximum Multi-view Trajectory Entropy Coding (MMTEC) for learning general and comprehensive trajectory embeddings. We introduce a pretext task that reduces biases in pre-trained trajectory embeddings, yielding embeddings that are useful for a wide variety of downstream tasks. We also propose an attention-based discrete encoder and a NeuralCDE-based continuous encoder that extract and represent travel behavior and continuous spatio-temporal correlations from trajectories in embeddings, respectively. Extensive experiments on two real-world datasets and three downstream tasks offer insight into the design properties of our proposal and indicate that it is capable of outperforming existing trajectory embedding methods.
Mitigating Ambiguity in Requirements for Enhanced Precision in Payment Application Development within the Payments Industry

The adoption of new technologies and the growing complexity of payment transactions promote a rapid transformation of the payments sector, which is currently in the midst of this transformation. Consequently, the demand for increased precision in developing payment applications is increasing. Despite this, there is still a significant amount of uncertainty in the standards, which can result in misunderstandings, delays, and increased costs. In this research, we investigate the factors contributing to ambiguity in payment application requirements and suggest an approach for limiting the associated risks.
Beyond Coding: A Comprehensive Study of Low-Code, No-Code and Traditional Automation

The domain of software testing has undergone a transformative shift with the advent of automation technologies, particularly Low-Code and No-Code solutions in addition to conventional coding methods. This paper presents a comprehensive exploration of these three paradigms, delving into their strengths, weaknesses and applications in contemporary testing practices. We delve into the intricacies of Low-Code and No-Code automation, examining their potential to democratize testing beyond the traditional boundaries of coding. Through a comprehensive comparison of these approaches, our goal is to provide guidance to practitioners and decision-makers in selecting the most suitable strategy for their testing requirements, thereby ushering in a new era of efficiency and adaptability in software testing. Accompany us on a journey that goes beyond coding as we unravel the subtleties of Low-Code, No-Code and Traditional Automation in this innovative study
Technical Mitigation of Unconscious Time Theft among Hourly Employees: A Comprehensive

Time theft, especially among hourly employees, has a profound impact on corporate productivity and employee morale. This paper delves into the various factors that contribute to this unintentional behavior and proposes technological solutions. It highlights the psychological aspects that drive time theft and emphasizes the need for a comprehensive approach to address this issue. By exploring the underlying causes and implementing a multifaceted strategy to mitigate time theft, companies can effectively enhance productivity and boost employee morale.
EFEKTIFITAS MODEL PEMBELAJARAN THINK PAIR SHARE (TPS) DALAM MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN PENDIDIKAN KEWARGANEGARAAN (PKN) DI KELAS VI SD NEGERI 040539 SEBERAYA SEMESTER II T.P. 2021/2022

This study aims to improve students' understanding of learning materials and improve student learning outcomes and student learning activities by applying think pair share cooperative learning model. The subjects in this study were sixth grade students of SD Negeri 040539 Seberaya with a total of 15 students. The results of the study are: 1) Student learning outcomes by applying the TPS type cooperative learning model in the first cycle showed 6 students completed individually, while the class was incomplete. In the second cycle, 13 students completed individually and the class completed classically with an average of 66.67 and 81.33 in the first cycle and the second cycle with the percentage of classical completeness 40% in the first cycle and 87% in the second cycle. Student affective data according to observer observations in cycles I and II include: honesty from (33%) rose to (66%), discipline from (36%) rose to (73%), responsibility from (34%) rose to ( 73%), accuracy from (34%) increased to (70%), and cooperation from (30%) increased to (74%). Psychomotor data of students according to observations in cycle I and cycle II include: identifying the intent of the conversation (23%) increasing to (68%), using proper grammar (33%) increasing to (75%), speaking clearly and easy to understand (24%) increased to (70%), using the right vocabulary choices (34%) rose to (73%), and the intonation of voice according to what was conveyed (24%) rose to (60%). Completeness that occurred in cycle I and cycle II was clearly seen in class VI students when student learning was active and students understood the material presented by the researcher.
Tax Aspects of the Metaverse: Is a Pillar Three Coming?

The metaverse and Web 3.0 are (again) going to change the digital economy and its business models as we know them and give rise to key issues from a tax perspective. It is thus expected that the current international tax principles, the tax challenges raised by OECD BEPS Action 1 for the digital economy and, more recently, Pillar One new taxing rights (which have yet to be implemented) could soon become outdated. This article illustrates, with the support of some examples, what the future challenges of international taxation might be – considering, among other things, the potential coexistence of the “old” principles under the OECD Model Tax Convention and Pillar One – and how the metaverse might have an impact on business models and the real world (including by considering the role and interactions of cryptocurrencies, NFTs and blockchain technology, which are key to the metaverse’s operations) with a focus on how taxing rights among the different countries involved in the metaverse are to be attributed.
Comments on the Maltese DAC6 Implementation and Interpretative Guidance

In this note, the author provides a brief overview of the Maltese implementation of DAC6. The note guides the reader through the particularities of the Maltese transposition, providing highlights from the Maltese guidelines on points of interpretation and examples.
Evaluating the Taxability of Cryptocurrencies (Bitcoin) in Nigeria – Lessons from the United States and Australia

Governments over the world have been either proactive or reactive in providing some institutional-legal frameworks towards regulating cryptocurrencies. However, it appears that no such measures have yet been introduced in Nigeria, despite its citizens’ patronage level of digital currencies. This article therefore sets out to appraise the nature of Bitcoin (BTC), this being the most popular of the cryptocurrencies. This is done with a view to ascertaining the legal status and taxability of Bitcoin in Nigeria.
Геологическое и изотопное обоснование возраста золотого оруденения Гонжинского центра Приамурской провинции

The geological and isotopic age of the deposits in gold-sulfide-quartz and gold-silver formations of the Gonzhinsky gold ore center in the Amur gold-bearing province is considered. The formation of the gold-sulfide-quartz deposits of Pioneer, Anatolyevskoye, and Alexandra is paragenetically associated with the Burindinsky monzodiorite complex of intrusions and dikes, with the estimated potassium-argon age of 92-116 Myr; the isotopic age of the Burindinsky complex diorite array was established by the U-Pb method by zircons as 117.8 ± 2.6 Myr within the Aptian stage of the Early Cretaceous. For gold-silver deposits (Pokrovskoye, Burinda), a paragenetic relationship of gold-silver mineralization with a complex of subvolcanic intrusions and dikes of the Early Cretaceous Taldan complex has been established. They were formed at the subvolcanic level and belong to the Barremian time. The Rb-Sr age of the most productive Pokrovsky gold-silver deposit is 131 ± 12 Myr.
Диарсениды и сульфоарсениды Fe, Co, Ni, пространственно связанные с Лево-Сеймканским гранитным плутоном (Магаданская область, Россия)

The Ni-Co mineralization in the Levo-Seimkan ore cluster has been studied. In xenoliths of gabbro-diorites from of the Levo-Seimkan granite massif, the disseminated sulfoarsenide and sulfoantimonide mineralization with predominant antimonial nickeline and with the gersdorfitekrutovite series minerals has been revealed, with a constant Sb admixture in gersdorfite (from 1.1 to 2.4 wt. %) and nickeline (Sb 3.2-12.2 wt. %) in association with pyrrhotite. In a new ore occurrence (Puglivy Creek, Arman River basin, 2 km from the mouth), in a stockwork of quartz-chlorite veins localized directly in the granites of the Levo-Seymkan massif, the Co-As-Bi-Te-Au mineralization has been established. Ore mineral nests and inclusions are represented by glaucodote (Ni under 3.28 wt. %), associated with native Bi, bismuthine, tellurovismuthite, hedleyite, and native Au. Ni-Co mineralization of disseminated ores from gabbro-diorite xenoliths from the Levo-Seymkan massif and from the stockwork localized in the massif granites (roof outshot in the Puglivy Creek), as well as from veins and veinlets in contact hornfelses (Puglivoye and Obkhod deposits). It has been found that mineral phases are not as characteristic for mineralization in granites and Ni hornfelses, and that the Co/Ni increases with distance from the Levo-Seimkan massif due to the lower migration ability of Ni relative to that of Co in the course of successive geochemical differentiation.
Examining the Impact of Motivation on Employee Performance: A Comprehensive Analysis of Influential Factors

Understanding the intricate factors influencing employee performance, encompassing the work environment, motivation, competencies, and compensation, is pivotal in effective human resource management. This comprehension aids companies in identifying areas for improvement, formulating robust human resource policies, fostering supportive work environments, and crafting compensation systems that optimally motivate employees, ensuring the organization's long-term success and sustainability. The primary objective of the study is a thorough investigation into the factors impacting employee performance, with motivation playing a key intermediary role. Employing a quantitative approach, the research utilizes Structural Equation Modelling (SEM) through Smart PLS version 3.0, focusing on personnel within the Public Relations Department of PT. XYZ. Findings reveal significant positive impacts of the work environment, competencies, and compensation on employee performance, with motivation exhibiting a significant negative influence. Interestingly, the study notes an insignificant negative impact of the work environment on motivation, contrasting with the positive effects of competencies and compensation on motivation. The study contributes theoretically by exploring motivation as an intervening factor in the real estate sector, offering practical insights for companies in the study location to make informed decisions about the work environment, competencies, compensation, and employee performance. Despite recognizing limitations, the study recommends future research to consider additional variables, enhancing the comprehensiveness of subsequent investigations.
Enhancing Accuracy in Large Language Models Through Dynamic Real-Time Information Injection

This study presents a novel approach to enhance Large Language Models (LLMs) like Alpaca by dynamically integrating real-time information. This method addresses the issue of content hallucination and data relevancy by automatically collecting and integrating current data from credible sources into model prompts. Experiments show a significant improvement in accuracy and a decrease in content hallucination, with a manageable increase in response time. The research underscores the potential of real-time data integration in making LLMs more accurate and contextually relevant, setting a foundation for future advancements in dynamic data processing in AI.
Novel Approach to High Accuracy and Efficiency Optical Character Recognizer for Handwritten Digits

The automated transcription of handwritten characters into a legible output is a multi-faceted process with diverse applications. In this paper, a novel approach to optical character recognition (OCR) for handwritten digits is proposed that, in certain components, exceeds current architectures in terms of accuracy, effectiveness, adjustability, temporal efficiency, and/or computational simplicity. This model succeeds in the adoption and enhancement of deprecated or obsolete algorithms across eight steps of image pre-processing&amp;mdash;normalization, grayscaling, thresholding/binarization, noise removal, skew-correction, skeletonization/thinning, line separation, and character segmentation. The aforementioned model is evaluated with the use of a Convolutional Neural Network (CNN) leveraging the Balanced eMNIST dataset for training and testing. By suggesting contour-based feature extraction methods as alternatives to pixel-by-pixel iteration, the proposed paradigm demonstrates its capacity to serve as a suitable alternative to current, commonly used algorithms and computational techniques for textual image classification.
A Fast ICI Based Adaptive Thresholding for Sparse Image Reconstruction Using a Matrix Based Wavelet Transformation

One of the frequently used classes of the sparse reconstruction algorithms is based on the iterative shrinkage/thresholding procedure, where the thresholding parameter controls a trade-off between the algorithm accuracy and the execution time. In order to avoid this trade-off, we propose using a fast intersection of confidence interval method in order to adaptively control the threshold value through the reconstruction algorithm iterations. We have upgraded the two-step iterative shrinkage thresholding algorithm with a such procedure, improving its performance. The proposed algorithm, denoted as the FICI-TwIST, along with a few selected state-of-the-art sparse reconstruction algorithms have been tested on the classical problem of image recovery by emphasizing the image sparsity in the discrete cosine and the discrete wavelet domain. Furthermore, we have derived a single wavelet transformation matrix which avoids wrapping effects achieving significantly faster execution times when compared to more traditional function based transformation. The obtained results indicate competitive performance of the proposed algorithm, even in cases where all algorithm parameters have been individually fine-tuned for best performances.
CIP Leadership Concept, Analysis on Domestic and Overseas Research a nd E xploring F uture Research Objectives

The purpose of this study is to examine the domestic research trends on the CIP leadership model, explain the concept, and to suggest future research directions. The starting point of the CIP leadership model is a study by Mumford &amp; Van Doorn (2001) on the American historical leader, politician Benjamin Franklin. Mumford (2006) then compared the pathways to outstanding leadership on several important dimensions, and then classified them into three: ‘charismatic leaders’, ‘ideological leaders’, and ‘pragmatic leaders’. Mumford presented the results of classifying 120 historically prominent leaders into six types (20 each), such as [charismatic, ideological, and pragmatic leaders] × [socialized and individualized orientation], using an historiometry method. After the CIP model was introduced to the academic field, research papers are continuously being published in famous overseas journals. However, there are only four papers related to the CIP leadership model in Korea so far, and none of the four papers deal with the CIP model in detail. We look at domestic research trends, introduce the CIP leadership model in detail, and suggest the limitations of the model and future research directions. Through this, it is hoped that the interest of Korea leadership researchers in the CIP leadership model can be enhanced and the leadership research method can be expanded.
The Effect of Digital Transformation Leadership on Innovative Behaviors: The Mediating Effect of Organizational Dynamic Capabilities and Moderation effect of Manager's Coaching Behaviors

This study demonstrates the leadership and capabilities that corporate leaders must possess for the sustainable growth of the organization amidst unprecedented changes in the business environment, such as the 4th Industrial Revolution and digital transformation, which have recently emerged as corporate management issues. To this end, this study targeted 350 employees of domestic IT companies to demonstrate the impact of a leader's digital transformation leadership on employees' innovation behavior, and to determine whether the organization's dynamic capabilities and managers' coaching behavior influence the innovation behavior of organizational members in the digital era. The research results showed that the leader's digital transformation leadership had a positive effect on the innovation behavior of organizational members. In addition, the dynamic capability of the organization had a mediating effect on the leader's digital transformation leadership and the innovation behavior of organizational members, and the leader's managerial coaching behavior had a moderating effect. In particular, the organization's dynamic capabilities and the leader's managerial coaching behavior suggest a new direction of leadership to corporate leaders and managers who must create organizational performance through digital innovation. The significance of this study is that it has been demonstrated that in the future, leaders of organizations in the digital era will need distributed leadership that emphasizes the capabilities of each member of the organization and is based on agile-centered dynamic capabilities, rather than focused leadership that is exercised based on individual characteristics or capabilities.
Application of the Rapid Application Development Model to a Web-Based Library Information System

This study aims to overcome several problems in library management at SMA Negeri 7 Tambun Selatan by designing and developing a web-based library information system using the Rapid Application Development (RAD) method. The background of the problem includes the use of information technology, which is still limited in the library, so the process of recording, borrowing, and returning books is still done manually and takes a long time. In addition, the lack of an effective book search system is also an obstacle to using library collections. This research identifies these problems and formulates aims and objectives to create the right solution. In order to achieve this goal, the research method used involved data collection techniques, such as direct observation in the library, interviews with librarians, and a literature study to obtain relevant information. The result of this research is a web-based library information system that includes managing data on borrowing and returning books, book data, book category data, fines data, and making library data reports. This system allows librarians to record borrowing and returning books more efficiently, as well as facilitate students and staff in finding the desired book quickly and accurately through the search feature provided.
Pengaruh Minat Belajar Siswa Terhadap Tingkat Kecerdasan Emosional Siswa MTs Negeri 2 Kabupaten Serang

This study aims to determine how much the influence of Student Learning Interests on the Emotional Intelligence of Students in MTs Negeri 2 Serang. This research uses quantitative methods using statistical data through validity, reliability, normality, simple regression linearity and hypothesis testing. The population in this study were 312 MTs students in Serang, while the sample taken in this study was 76 students. The results obtained are that there is a significant influence of learning interest on emotional intelligence of MTs Negeri 2 Serang students. This is evidenced by the acquisition of Fcount = 4,592 with a significance level of 0,000 ≤ 0.05. Furthermore, the variable interest in learning contributed 74.6% to the "Emotional Intelligence of Students in MTs 2 Serang. While the remaining 25.4% is influenced by other factors as a contributor to emotional intelligence. While the acquisition of tcount is 2.143 ≥ 1.995, it means that there is a significant influence between students 'learning interest on students' emotional intelligence in MTs Negeri 2 Serang. In the sense that H0 is rejected and Ha is accepted.