Reviewerly/exHarmony huggingface dataset:
Digital Application Akelius as a Blended Learning Tool

The article deals with modern approaches to the problem of blended learning, which are based on different criteria for organizing the learning environment depending on the expected learning outcomes. The advantages of blended teaching Russian as a foreign language are creating an individual learning trajectory, taking into account the level of language proficiency, the changing social environment (students are children of migrants), and an inclusive environment. The authors demonstrate the possibilities of using the Akelius digital application for teaching Russian as a foreign language, based on the experience of using it in a blended learning format, possible ways of using the Akelius application in the educational process when teaching language literacy in combination with traditional forms of education. The article focuses on the advantages of this application, built on the principle of a communicative-activity approach, which involves situational learning of a foreign language and is in the nature of inclusion of everyday communication in the language environment. The role of the teacher in the organization of the educational process when learning a new language in conditions of blended learning has also been noted. The authors offer modern teaching technologies that contribute to the transformation of the learning environment into a creative process of socialization of migrant children; demonstrate a lesson model with the use of the Akelius digital application.
Mathematical Model for Determining the Geometric Location of the Environmental Pollutant Based on Sensor Data

The practical result of this work is the development of a generalized mathematical model for determining the position of an environmental pollutant. Computer simulation was carried out in order to verify the developed mathematical model. A number of computational experiments were conducted to verify the mathematical model. In the future, the developed algorithm is proposed to be used for real ground air quality measurement stations with additional use of air quality information from satellite data and specify the location of the pollution source using the Urban Atlas.
HELPING KOREAN AMERICAN OLDER ADULTS THROUGH EDUCATION, RESOURCES, AND VOLUNTEERING: A CASE STUDY OF SOMANG SOCIETY

Abstract Many community organizations serving Korean Americans lack culturally or linguistically tailored services for end-of-life care. Subsequently, Korean American older adults often lack understanding of end-of-life care, particularly advance care planning and hospice. Somang Society is a nonprofit organization serving Korean American older adults and their family caregivers with a mission to promote healthy aging, dignity in later life, and a meaningful death. This study details how Somang Society utilizes education, resources, and volunteer programs to increase the awareness of end-of-life issues among Korean American older adults. The organization provides two distinct community education and volunteer trainings regarding (1) end-of-life care planning program and (2) older adults living with dementia and their family caregivers. They provide community education and volunteer trainings in Korean and expect the volunteers to educate others in the community about the importance of healthy aging, dementia, and advanced care planning. As a result, 15,717 Korean American seniors have filed a living will and advance healthcare directives as of February 2023. In addition, Somang Society emphasizes the importance of whole-body donation for training medical students and healthcare professionals. As a result, 2,134 Korean American seniors have donated or registered for the UCI Willed Body Program through Somang Society since 2008. To further disseminate their programming, the organization actively uses social media to educate Korean Americans on these issues. Their YouTube channel analytics indicate the viewers’ positive responses and the potential impact technology usage can have for sharing education with this hard-to-reach population.
Unveiling insights in source code defect prediction using ChatGPT: moving beyond predictive metrics

In the realm of software engineering, defect prediction stands as a vital and valuable research domain. With the emergence of powerful models like ChatGPT, the potential for enhancing software defect prediction becomes significant. Leveraging the GHPR defect prediction dataset, this study delves into the application of ChatGPT for source code-level defect prediction. Different prompt paradigms, including general-purpose prompts, prompts that emphasize minority class, prompts that include few-shot examples, prompts that include target explanations, and prompts using chain-ofthoughts (CoT), are investigated for their impact on predictive outcomes. Furthermore, a comparative analysis is conducted between specific defects predicted by ChatGPT and defects rectified by developers in the GHPR dataset. While direct application of ChatGPT in source code-level defect prediction shows results akin to random guessing, the study reveals that employing CoT prompts unveils a propensity for ChatGPT to identify a higher number of issues, proposing questions with heightened rationale. The findings emphasize the necessity to move beyond predictive metrics when utilizing ChatGPT for source code-based defect prediction, advocating for a more profound analytical approach.
Uncovering the Best of oktrik.com: A Honest Review of Android Tutorials, Tips, and Tricks from Indonesia

Oktrik is an amazing source of information for both beginners and experienced users. It is an excellent website for anyone looking for the latest news and tutorials on Android, tech, and how-to topics. It is easy to navigate, providing users with the best source of information on the topics they are interested in.For those living in Indonesia, Oktrik is the best option for reliable information. The website is constantly updated with the latest news, tutorials, and tips on Android and tech related topics. It is also filled with helpful information on how to use the Android platform, as well as advice on the best apps and tools.The tutorials are especially useful, as they are easy to understand and follow. The tutorials are written with the beginner in mind, but they are also detailed enough to help experienced users. All of the tutorials are accompanied by informative images, making it easier to understand the topics.The website also has a great selection of reviews and ratings for the best apps and tools. This makes it easier for users to find the best options for their devices and needs. The reviews are written by experienced users, so they are both accurate and helpful.Overall, Oktrik is an excellent website for anyone looking for the latest news and tutorials on Android, tech, and how-to topics. It is easy to navigate, providing the best source of information on the topics users are interested in. The tutorials are helpful and easy to understand, and the reviews and ratings are accurate and reliable. It is the best choice for anyone looking for reliable and up-to-date information on Android and tech topics.
The 2023 ACM SIGEVO Outstanding Contribution Awardees: Prof. Emma Hart and Dr. Carlos A. Coello Coello

The SIGEVO Outstanding Contribution Award recognizes remarkable contributions to Evolutionary Computation (EC) when evaluated over a sustained period of at least 15 years. These contributions can include technical innovations, publications, leadership, teaching, mentoring, and service to the EC community. In 2023, two amazing members of our community received this recognition: Prof. Emma Hart, and Dr. Carlos A. Coello Coello. To celebrate these distinctions, Emma and Carlos kindly answered our questions reflecting on their contributions and views on evolutionary computation as well as their valuable advice to young researchers in the field.
Towards an Ontology of Viewpoints

In a multilingual domain ontology developed using the labels approach, where each ontological entity is labelled with a language-tagged string, two scenarios result: (1) the ontology is ‘language-independent’, where there is an equal number of labels per natural language, or (2) the ontology is a ‘primary-language’ ontology, where one natural language takes precedence over the other languages used. In a multilingual ontology, it is assumed there is full equivalence between the different languages, however, each natural language, as an embodiment of a culture, differs in how it interprets and organises the world. The result is that although the viewpoint expressed by the multilingual domain ontology is thought to be universal, one natural language is very often privileged, typically English. Using the culture-bound concepts of ‘dowry’ and ‘bride price’, we demonstrate the differences in perspective when considered for different languages and sub-domains. We propose an ontology, Model of Multiple Viewpoints (MULTI), where both language and culture are considered together, and language is classified as a social norm of a community. MULTI is formalised in OWL and aligned to DOLCE+DnS Ultralite, a foundational ontology suitable for modelling contexts. The evaluation of MULTI is done against the identified use cases. The expected result is that an ontology can be annotated with its viewpoint, thus making the viewpoint of the ontology explicit.
Cognitive Refined Augmentation for Video Anomaly Detection in Weak Supervision

Weakly supervised video anomaly detection is a methodology that assesses anomaly levels in individual frames based on labeled video data. Anomaly scores are computed by evaluating the deviation of distances derived from frames in an unbiased state. Weakly supervised video anomaly detection encounters the formidable challenge of false alarms, stemming from various sources, with a major contributor being the inadequate reflection of frame labels during the learning process. Multiple instance learning has been a pivotal solution to this issue in previous studies, necessitating the identification of discernible features between abnormal and normal segments. Simultaneously, it is imperative to identify shared biases within the feature space and cultivate a representative model. In this study, we introduce a novel multiple instance learning framework anchored on a memory unit, which augments features based on memory and effectively bridges the gap between normal and abnormal instances. This augmentation is facilitated through the integration of an multi-head attention feature augmentation module and loss function with a KL divergence and a Gaussian distribution estimation-based approach. The method identifies distinguishable features and secures the inter-instance distance, thus fortifying the distance metrics between abnormal and normal instances approximated by distribution. The contribution of this research involves proposing a novel framework based on MIL for performing WSVAD and presenting an efficient integration strategy during the augmentation process. Extensive experiments were conducted on benchmark datasets XD-Violence and UCF-Crime to substantiate the effectiveness of the proposed model.
From Causation (and Parthood) to Time: The Case of EMMO

We investigate the construction of time in EMMO, a foundational ontology developed to improve the strictness in the representation of applied sciences’ knowledge. We show how temporal individuals and temporal relations can be defined from the primitives of causation and parthood, at the core of EMMO; we then prove that our construction satisfies van Benthem’s requirements for temporal structures. Our analysis contributes to clarifying the overall landscape of causal relational theories of time, and to the ongoing effort of aligning foundational ontologies. We conclude by sketching how our results can be generalised, employing a strategy to simulate relations’ transitive closure in FOL. This generalisation makes the described construction of time exploitable in ontology engineering with minimal preconditions and sets up the groundwork for a systematic analysis of the connections between (discrete) causal and temporal structures.
Towards an Ontology for Robot Introspection and Metacognition

We present the Meta-Ontology for Introspection (MOI): Inspired by fundamental processes of the human mind, cognitive architectures (CAs) explore ever more methods to leverage metacognition. Still, an ontological model to trace metacognitive experiences for learning or as input for metacognitive control routines has yet to be developed. Based on a review of existing standards, we formally identify the relevant scope in the form of Competency Questions (CQs) and extend SOMA, a well-established formal ontology initially designed to interpret episodic memories of a robotic CA. The resulting MOI can model a CA’s software and capabilities of single components, trace information processing and inter-component communication, label self-lived mental events, and capture causal relationships. We evaluate MOI via the CQs and exemplarily demonstrate its reasoning capabilities.
Superradiant and Subradiant Cavity Scattering by Atom Arrays

We realize collective enhancement and suppression of light scattered by an array of tweezer-trapped $^{87}\mathrm{Rb}$ atoms positioned within a strongly coupled Fabry-P\'erot optical cavity. We illuminate the array with light directed transverse to the cavity axis, in the low saturation regime, and detect photons scattered into the cavity. For an array with integer-optical-wavelength spacing each atom scatters light into the cavity with nearly identical scattering amplitude, leading to an observed ${N}^{2}$ scaling of cavity photon number as the atom number increases stepwise from $N=1$ to $N=8$. By contrast, for an array with half-integer-wavelength spacing, destructive interference of scattering amplitudes yields a nonmonotonic, subradiant cavity intensity versus $N$. By analyzing the polarization of light emitted from the cavity, we find that Rayleigh scattering can be collectively enhanced or suppressed with respect to Raman scattering. We observe also that atom-induced shifts and broadenings of the cavity resonance are precisely tuned by varying the atom number and positions. Altogether, tweezer arrays provide exquisite control of atomic cavity QED spanning from the single- to the many-body regime.
Epistemologies of Data Visualisations: On Producing Certainties, Geographies and Digitalities in Critical Educational Research

In the age of data-driven research, data visualisations have emerged and proliferated as indispensable tools for understanding complex phenomena. Visualisations can be compelling. They communicate objectivity, efficiency and authority. However, data visualisations are not neutral. They embody and convey particular epistemological perspectives, shaping how knowledge is produced, circulated and understood (D’Ignazio &amp; Klein, 2020; Ratner &amp; Ruppert, 2019; Williamson, 2016). In scholarship, visualisations are, like other scientific practices, ‘designed to make the invisible visible, the evanescent permanent, the abstract concrete’, and in this sense, visualisations are ways in which scholarship ‘discovers the world anew’ (Daston &amp; Lunbeck, 2011, p. 1). This article explores the epistemologies inherent in data visualisations when they are produced within critical studies of the datafication of education. It takes up the call for researchers to interrogate the tensions that arise when the ‘digital...
The Impact of Cognitive and Behavioral Challenges on Employee Motivation and Competitive Dynamics: A Systematic Review

This systematic review examines the complex interplay between employee motivation and competitive dynamics within organizations. The study aims to identify cognitive and behavioral challenges affecting employee motivation, investigate the impact of workplace competitive dynamics, and propose strategies to enhance motivation and productivity. Based on the PRISMA Checklist, a systematic search was conducted between 2000 and 2023 across databases such as PubMed, PsycINFO, and Google Scholar. Upon initial screening, 11 studies were selected, which were evaluated for cognitive and behavioral factors influencing employee motivation within competitive organizational dynamics. The review identifies cognitive challenges, such as confirmation bias and attention-related cognitive errors, which have a significant impact on decision-making processes and motivation. A number of behavioral challenges affect job motivation, including ambiguity bias and a lack of attitudinal professionalism. Goal-setting, autonomy, and effective leadership are some of the strategies to improve motivation, as well as reducing biases and creating a conducive working environment. The review synthesizes the existing literature to provide a comprehensive understanding of the complex relationship between employee motivation and competitive dynamics. By identifying cognitive and behavioral challenges, providing insights into their interplay, and proposing practical strategies to improve organizational performance, it contributes to the improvement of organizations. By leveraging the identified challenges and strategies, organizations will be able to improve their decision-making processes and cultivate motivated employees. The findings revealed that a positive work environment and sustained employee engagement can be achieved by addressing biases, clarifying roles, fostering autonomy, and promoting effective leadership.
Azure Container Instances

In this chapter, we’re going to explore and containers and learn how to deploy them to the Azure Container Instances (ACI) service using Terraform infrastructure provisioning. Azure ACI is a serverless container service that removes the underlying infrastructure and focuses on the deployment of containers. With ACI, developers and engineers can deploy applications without worrying about managing virtual machines and related services.
Phenomenon of Technoculture in the Context of Transhumanism: Interaction between Humanity and Technology

The purpose of this article is to describe and substantiate the concept of technoculture and its importance in the context of contemporary philosophical and sociocultural directions, particularly transhumanism. The research methodology involves applying various levels: analytical, to immerse into the problematics of the chosen scientific research theme and synthesise acquired knowledge; and employing a full spectrum of methods (cultural, psychological, hermeneutic, historical, theoretical generalisation) to comprehensively understand the stated issue. The scientific novelty lies in identifying technological determinism in modern currents of humanism and its argumentation through the definition of technoculture. Conclusions. In the publication, it is argued that the formation of new currents in humanism, such as transhumanism, which are based on the use of technology and its impact on sociocultural processes, leads to the emergence of a new concept – technoculture. Technoculture reflects our approach to technology not just as tools, but also as essential elements of our culture that shape our worldview and our role in it. Transhumanism, on its part, focuses on the capabilities of technologies in changing the essence of humanity. It examines technologies not only as means to improve life, but also as tools for radical restructuring and adaptation of human existence, starting from biological to cognitive characteristics. These two currents highlight the interdependence between humans and technology, but also point to the complexity and contentiousness of this interaction.&#x0D; Keywords: technoculture, transhumanism, postmodernism, modern technologies.
Specificity of European Theatre Directing of the Flemish Wave: Metaphorical Images Luk Perceval

The purpose of the article is to reveal the peculiarities of the creative activity of one of the leading representatives of theatre directing of the "Flemish wave" Luk Perceval. Research methodology. The analytical method, the method of typological, art history, genre-stylistic, and figurative-stylistic analysis was used, thanks to which the author's approaches and the methodology of L. Perceval's direction were revealed and structured, as well as the method of theoretical generalisation. Scientific novelty. The creative activity of one of the leading directors of the European theatre at the end of the 20th century and the first two decades of the 21st century was studied. L. Perceval; the aesthetics of L. Perceval's theatrical direction are analysed through the prism of the concept of post-dramatic theatre; metaphorical images and their place in the visual text of the play are considered, using the example of the productions of "Othello" by W. Shakespeare and "Black-Yellow-Red Trilogy: Journey to the European Heart of Darkness" (alternative name "Belgium Sorrow") by S. Khin. Conclusions. Theatrical direction of L. Perceval, whose artistic thinking was formed in the atmosphere of Flemish theatre culture and reflects all its features, is characterised by an active search for exquisite symbolic forms of the embodiment of the highest unity of all living things. The director interprets modernity through the prism of the past, makes an attempt to highlight the deep contradictions of the modern socio-cultural space in the process of creating a system of creative reflections, the complex play of aesthetics of modern post-dramatic theatre and generalising various cultural layers and topics relevant to people of the 21st century in comprehensive metaphors. L. Perceval comprehends the problems of place and time, nature, life, freedom, independence, the complexities of life and natural contradictions, phenomena and tragedies that strike a person. The director expresses his own attitude, inner experiences and deep feelings with the help of metaphorical symbols that make up the essence of his creative manner. A feature of L. Perceval's directorial vocabulary is the search for metaphorical ways of stage expression of the complex psychological content of productions, in the process of researching the main contradictions of the human personality, which enhance the plasticity of the updated minimalist stage space of the performance.&#x0D; Keywords: Luk Perceval, European theatre direction, "Flemish wave", post-dramatic theatre, metaphorical images.