Reviewerly/exHarmony huggingface dataset:
THE COMPARISON DURATION DIABETES SURVIVAL TIMES MODELLING USING LINDLEY (LIN), WEIGHTED LINDLEY EXPONENTIAL (WLE), POWER MODIFIED LINDLEY (PML), LINDLEY HALF-CAUCHY (LHC) AND RAYLEIGHT LOMAX (RL) DISTRIBUTIONS

Accurate diabetes survival time modeling is critical in estimating diabetes survival time potential for effectively. One of the bases for assessment of diabetes survival times potential for a specified region is the probability distribution of diabetes survival times, therefore diabetes survival times data is needed to produce statistical modeling, especially in determining the best probability distribution. Statistical models are designed to facilitate conclusions about the occurrence probability distribution of diabetic patient in the Mandau Regional General Hospital (RSUD), Bengkalis Regency, Riau Province. For this purpose, five distributions will be used and tested to determine the best model to describe diabetes survival times. The main goal of this study is to find the best fitting distribution to the duration survival times diabetes of 50 patients measured over Bengkalis region by using lindley (LIN) distribution, three modified lindley distributions such as weighted Lindley exponential (WLE), Power Modified Lindley (PML), Lindley half-Cauchy (LHC) and Rayleight Lomax distribution (RL). The maximum likelihood method will be used to get the estimated parameter value from the distribution used in this study. Furthermore, the graphical inspection (density-density plot and cumulative plot) and numerical criteria (Akaike’s information criterion (AIC), Bayesian Information Criteria (BIC), - log likelihood (- l) were used to determine the best fit model. In most cases, the results produced by the graphical inspection were similar, and differed from the numerical criteria . The best fit result was chosen as the distribution with the lowest values of AIC, BIC and - l. In general, the Rayleight Lomax (RL) distribution has been selected as the best model.
Bounds on VaR, TVaR, and RVaR under Moment Information

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Evaluating the Impact of TikTok Promotions on Online Shops: Literature Study Approach

This research analyzes the impact of promotion via TikTok on online shops and finds that using TikTok as a promotional tool has a significant positive effect. TikTok, with its appeal of creative and interactive short video content, allows online shop owners to reach a wider audience and increase their brand exposure. The results of this research show good improvements in terms of brand awareness, sales growth, and stronger relationships between customers and brands. In addition, TikTok provides an ideal platform for promotions that attract shopper attention, such as discounts and free shipping. Thus, this research confirms that promotion via TikTok is an effective strategy and has a positive impact on online shops in expanding their market share and increasing their sales results.
Fault and obstacle identification of a multi-agent system based on support vector machine

In this paper, data-driven fault diagnosis for multi-agent system based on support vector machine is proposed, where the faults include abnormal physical/communication factors and dynamic obstacles. A five-agent formation system with leader following protocol is under investigation, and the faults can occur in any nodes accuracy of fault classification prediction. A support vector machine method is developed for fault classification and location of the faults, and radial basis function kernel function, grid search and cross-validation is applied to optimize the results. Simulation results are presented to validate that the designed fault identification method can achieve satisfactory accuracy. The accuracy of the training set and test set can reach 100% and 97%, respectively. And through a comparison with the BP neural network classifier, the designed support vector machine-based fault classification has higher accuracy. The results demonstrate the feasibility and rationality of the support vector machine approach for fault and obstacle identification of multi-agent systems.
Digital Capacity Building in Schools: Strategies, Challenges, and Outcomes

The introduction of digital technologies in educational institutions has gained significant momentum worldwide as societies recognize the central role of education in preparing individuals for a technology-driven world. This paper explores the concept of 'school digital capacity', which encompasses various factors critical to the effective integration of technology into teaching and learning practices. Educational leadership emerges as a cornerstone of this capacity, with leaders playing a critical role in shaping the digital landscape of their institutions. Using a mixed-methods approach, this research explores the perceptions of educational leaders in the context of a large-scale digital education reform project. Key findings highlight the importance of leadership and a coherent digital strategy in improving digital efficacy and teacher engagement with technology. However, challenges are evident, including a lack of clear strategies, inadequate human resource allocation, limited knowledge of digital education and insufficient professional development opportunities. The study highlights the need for improved training programmes for educational leaders to equip them with the necessary digital skills and strategic acumen. Collaborative networks between schools and increased support from ministries of education are recommended to facilitate effective digital integration and capacity development.
Retracted: Changing Positive Academic Emotions of Art Students Utilizing Computer Information Technology Based on the Perspective of Teaching

[This retracts the article DOI: 10.1155/2022/7184274.].
Wealth effects of firm's strategic technology investments: evidence from Ethereum blockchain

Purpose Ethereum-based blockchain technology (EBT) affords members of the Enterprise Ethereum Alliance (EEA) a market advantage in deploying blockchain within their organizations, including cybersecurity and operational benefits, that leads firms to strategically invest in this nascent technology. However, the impact of such strategic investments in EBT has yet to be explored in the context of its relationship to firm value. Therefore, this study explores EBT-specific firm-level characteristics that result in a stock market reaction to announcements of strategic investments. Design/methodology/approach The authors use the event study methodology, strategic investment literature and signaling theory as contextualizing frameworks for their study. Additionally, the authors explore a new method for examining technology investments as a strategic counter to cybersecurity threats. Findings Firms that signal to the market their strong commitment to their strategic investment by developing an EBT proof of concept see significantly higher market returns. Firms that have had prior cybersecurity incidents are rewarded by the market for strategically investing in EBT, and when firms with large undistributed free cash flows utilize this cash for strategic EBT investment, the market is more likely to reward these firms, indicating the market views EBT investment positively in these circumstances. Originality/value The results of this study provide new evidence of the value impact of EBT for firms that suffered cybersecurity events in the past. The authors provide empirical evidence of firm-level characteristics that investors use to discern whether a strategic investment in EBT will drive organizational value. Likewise, the authors demonstrate how signaling affects investor perceptions of strategic information technology (IT) investments in EBT.
PKM PENGABDIAN MASYARAKAT BAHASA INGGRIS UNTUK ANAK USIA SEKOLAH MELALUI VIDEO ANIMASI PENGENALAN FAUNA DI BANJAR SIGARAN DESA SEDANG KECAMATAN ABIANSEMAL KABUPATEN BADUNG

Introduction to fauna in English through animated videos is an effort to introduce the names of animals and their habitats orally and in writing. The purpose of this community engagement activity is to (1) imitate and pronounce the English names of animals according to the pictures, (2) match the English words with the animal pictures, and (3) connect the pictures with the written English words. The method used is socialisation and mentoring, by providing materials on the introduction of fauna in English through animated videos. The participants of this activity are 23 students from the 2nd and 3rd grades of SD Negeri 1 Sedang. The results of this activity are: (1) conducting field approaches and observations, (2) the team providing facilities such as material delivery, videos, gifts, and snacks in the form of biscuits and milk to the participants, (3) providing training through materials, games, and question-and-answer sessions, (4) evaluating the participants' understanding of the given materials. The observations and evaluations show that the participants have understood several English vocabulary words related to the names of animals and their habitats.
Performance and Application Analysis of a New Optimization Algorithm

Our research focused on an optimization algorithm. Our work makes three contributions. First, a new optimization algorithm, the Maritime Search and Rescue Algorithm (MSRA), is creatively proposed. The algorithm not only has better optimization performance, but also has the ability to plan the path to the best site. For other existing intelligent optimization algorithms, it has never been found that they have both of these performances. Second, the mathematical model of the MSRA was established, and the computer program pseudo-code was created. Third, the MSRA was verified by experiments.
Twitter Sentiment Analysis Classification to Assess Public Opinion on Football Matches Using the Naïve Bayes Method

The Kanjuruhan tragedy has attracted many comments on various social media platforms. This research will compare the number of positive and negative comments on Twitter and social media and determine the accuracy of the classification method used. The data used in this study consisted of 2052 pieces, consisting of 1015 positive and 1037 negative pieces. To determine the effect of the amount of training data on the resulting accuracy, testing will be carried out three times with different combinations of training data and test data, namely 70:30, 80:20, and 90:10. The results of this study obtained the highest accuracy value of 79.6%. This program can be developed for other social media platforms such as Facebook, Instagram, and others
Retracted: Combining AI Techniques for Recognizing Aerobics Sport Videos

[This retracts the article DOI: 10.1155/2022/2293122.].
Assistance in Making Spin Game Powerpoint Learning Media for Early Childhood Teachers in Bengkulu City

Knowledge of technology-based learning media and improving the ability of preschool teachers, the ability to make PowerPoint spin game media, as well as the skills to use PowerPoint spin game media in learning. This PPM service aims to improve the competence of ECCE teachers. The method used in this service is to use training methods. The data collection method used in this service is using performance tests and data analysis using percentage techniques. The result obtained in this service is that the service is carried out well. The implementation of this community service can improve the skills of principals and teachers in terms of knowledge and skills in making PowerPoint spin games learning media with good criteria with an average score of 3.2. Meanwhile, if you look at the percentage of success of participants who got very good scores as much as 29%, who got good scores as much as 58.3%, and those who got enough scores as much as 12.5%. So, it was concluded that it can be said that the implementation of training on making power point spin games learning media has been successful.
THE CONCEPT OF TIME IN AMERICAN LITERATURE THROUGH THE LENS OF METAMODERN PERCEPTION

Time, as a basic concept of physics and philosophy, being an obligatory coordinate of our world, is present in modern American literature, both as an artistic effect that adorns the narrative, a tool for creating artistic reality, and as a system that changes the way of thinking. The action of the laws of time extends both to a person and to a literary work, but modern literature adapts these laws to fiction needs and experiments with its flow within a work. This article examines the artistic aspects of various concepts of time in modern American literature (starting from the end of XX to its current state) and their influence on the reader through the lens of the transition from postmodern to metamodern philosophical worldview provoked by the actual level of science development, globalization, and digitalization as well as the interaction of human perception of these processes and reactions to them with contemporary literary trends.
A Deep Neural Network Regularization Measure: The Class-Based Decorrelation Method

In response to the challenge of overfitting, which may lead to a decline in network generalization performance, this paper proposes a new regularization technique, called the class-based decorrelation method (CDM). Specifically, this method views the neurons in a specific hidden layer as base learners, and aims to boost network generalization as well as model accuracy by minimizing the correlation among individual base learners while simultaneously maximizing their class-conditional correlation. Intuitively, CDM not only promotes diversity among the hidden neurons, but also enhances their cohesiveness among them when processing samples from the same class. Comparative experiments conducted on various datasets using deep models demonstrate that CDM effectively reduces overfitting and improves classification performance.
Cost-based Virtual Machine Scheduling for Data-as-a-Service

Data-as-a-Service (DaaS) is a branch of cloud computing that supports &amp;ldquo;querying the Web&amp;rdquo;. Due to its ultrahigh scale, it is essential to establish rules when defining resources&amp;rsquo; costs and guidelines for infrastructure investments. Those decisions should prioritize minimizing the incidence of agreement breaches that compromise the performance of cloud services and optimize resources&amp;rsquo; usage and services&amp;rsquo; cost. This article aims to address the cost problem of DaaS by developing a model that optimizes the costs of querying distributed data sources over virtual machines spread across multisite data centers. We have designed and analyzed a cost model for DaaS, besides implementing a scheduling system to perform a cost-based VM assignment. To validate our model, we have studied and characterized a real-world DaaS system&amp;rsquo;s network and processing workloads. On average, our cost-based scheduling performs at least twice as well as the traditional round-robin approach. Our model also supports load balancing and infrastructure scalability when combined with an adaptive cost scheme that prioritizes VM allocation within the underutilized data centers and avoids sending VMs to data centers in the eminence of becoming over-utilized.
Trace Element Composition of Placer Gold Across the Okanagan Fault, Kelowna, British Columbia, Canada

For 100 years, placer gold has been important to the settlement, economic development, and, recently, recreational geology of the Kelowna, British Columbia, area. It is best-known to occur in modern-day, Mission Creek and Lambly Creek sedimentary rocks, as well as a paleoplacer occurrence in Miocene sediments of the historical Winfield mine. The Mission Creek and Winfield localities are east of the west-dipping, low-angle, normal Okanagan Fault, which has been active since the Eocene. Lambly Creek is west of the fault. Late Paleozoic to Eocene igneous and metasedimentary rocks occur in the Lambly Creek catchment but Eocene gneiss units, unroofed by the fault, occur on the Okanagan Valley’s east side. This study tests the hypothesis that native placer gold compositions vary across the Okanagan Fault reflecting different sources and histories for the gold. A modest number of Au and Ag analyses (23 analyses) in usefully representative placer gold samples were determined on a scanning electron microscope with an energy dispersive spectrometer (SEM-EDS). Spots analyzed for Au and Ag were also analyzed for 19 trace elements using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Mercury was semi-quantitatively determined in ‘unknown’ gold grains by first estimating its concentration (~3.69 ppm) in the AuRM2 external standard. Proportions of Au:Ag:Cu in grain cores indicate all the gold came from mesothermal/hypogene or possibly Au porphyry bedrock deposits though primary signatures may have been obscured by metamorphism or weathering. Winfield and Mission Creek grains tend to have higher siderophile Fe, Ni, Pd and Pt and chalcophile elements As, Se, Te, Hg, Pb and Bi but lower Cu and Sb concentrations than Lambly Creek gold. Mercury is distinctly higher in Winfield and Mission Creek gold than in Lambly Creek gold from the west side of the valley; the element appears particularly useful for ‘fingerprinting’ gold. Lambly Creek gold compositions indicate derivation from two orogenic/hypogene sources from greenstone and plutonic/hydrothermal rocks present in the catchment area. Modern day Mission Creek and Miocene paleoplacer Winfield grains have a similar hypogene trace element signature but there are no known local bedrock gold sources. The Mission Creek and Winfield gold grain cores are surrounded by &lt; 10 µm, Au-rich, Ag- and trace element-poor, rims. Lambly Creek grains lack such rims. The Au-rich rims on modern day Mission Creek and Miocene Winfield gold may reflect prolonged near-surface exposure with surficial electrochemical dissolution of hypogene trace elements or the biological precipitation of gold. Low Ag and red colouration on the surface of grains support the biological precipitation hypothesis. The shared trace element signature, together with the Au-rich rims indicate that modern day placer gold in Mission Creek was multiply reworked from Miocene paleoplacers similar to the Winfield occurrence as a result of uplift and erosion of rocks on the east side of Okanagan Fault.
DASS AND GUPTA’S FIXED-POINT THEOREM IN DIGITAL METRIC SPACE

This paper aims to define Dass and Gupta's contraction in the context of digital metric space and to establish a fixed point theorem for it. An example is also given in support of our proven result. Our findings widen and deepen a number of previously established findings in the literature.
What motivates and influences students’ learning of English in the hybrid mode of studying

The article presents a study that aimed to establish what motivates and influences the process of learning English in students of linguistics in business in the semester of hybrid education (face-to-face and online, depending on the COVID-19 cases among students). The study was conducted among a group of 40 students. A mixed qualitative-quantitative approach was taken to analyse the data. Results show that there are various intrinsic and extrinsic motives driving students’ learning in the hybrid mode, as well as online and offline factors that influence it. The extrinsic, or instrumental, motives are, for example, learning to use the skill to find a good job after graduation, the use of English for travelling or studying because of tests. The intrinsic, or cognitive, motives include learning because of the fascination with the language and its countries or interest in the subject. It was also established in the study that the students did not cope well with the constant shifts in the studying mode, finding the instability and unexpected changes disturbing. The participants, however, appreciated the contribution of technology thanks to going online and still stick to some of the technological solutions, even if now they are back in the face-to-face mode.
CONTEMPORARY RESEARCH STRATEGIES IN PEDAGOGICAL STUDIES: EXPERIENCE OF UKRAINE AND POLAND

Throughout the late 20th to the first quarter of the 21st century, three strategies of pedagogical research have been developed in the field of educational and pedagogical sciences. These strategies have evolved in response to the issues addressed in dissertation research and involve the conduct of scientific inquiries through the researcher's activities. The strategies include experimental, comparative-pedagogical, and historical-pedagogical approaches. Currently, within the European context, stable methodological strategies for conducting research studies in the field of educational and pedagogical sciences have emerged. These strategies predominantly focus on experimental research utilizing quantitative characteristics to analyze the dynamics of the growth of a specific quality among the researched category of individuals. They also involve comparative pedagogical research aimed at presenting best educational practices from international experiences and implementing them in the education systems of other countries. Furthermore, there is an emphasis on the revitalization of historical-pedagogical experiences of a particular country to preserve national identity, affirm cultural values, and promote education and scientific values at the state level. The methodology of pedagogical research requires further substantiation and continuous updating of the conceptual-terminological apparatus, which cannot be considered narrowly and should develop within the confines of a single subject area. Interdisciplinarity in scientific inquiry becomes an objective necessity. Psychopedagogy and digital pedagogy as scientific disciplines in the 21st century acquire special significance and are promising in online research. Ukrainian and Polish researchers have significant experience in crystallizing contemporary methodological strategies in pedagogical research. Joint scientific discussions between them contribute to the development of methodological pluralism, openness in research space, and interdisciplinary scientific exploration, taking into account traditions and innovations in the field of educational sciences. This collaboration also plays a role in affirming the development of pedagogical sub-disciplines in the context of open science and the digitization of research content.