bluuebunny/crossref_metadata_2025 huggingface dataset:
Necropolis of the Mehtulla Khans in the village of Nizhnii Dzhengutai (Delet- Qaburlar cemetery)
Authors: Shikhaliev Sh. Sh. , Takhnaeva P. I. , Chmilevskaya I. A.
Published: June 2023

During the ?ield trip to the Piedmont and Mountainous Daghestan in 2022 the authors studied the “Delet- Qaburlar” cemetery in the village of Nizhnii Dzhengutai, which was the capital of a major local political entity the Mekhtulla Khanate which had existfrom the middle of the 17 th century to 1867. At the cemetery, previousl unsearched tombstones of the last representatives of the Mekhtulla Khanate dynasty were found. On these tombstones, the names of the buried, the date of their death and auspicious inscriptions were carved in Arabic. The main goal of the study was compare the buried representatives is genus known in historical sources. In otal, the article contains a description of the nineteen tombstones. In the ?irst part, the monuments of the ideti?ied persons with their brief biographical information are given. The second part contains descriptions of tombstones whose owners could not be identi?ied. Ithis article authors have considered some aspects of the biographies of Ahmad-khan Mekhtulinskii (1808–1843), his wife Nuh-bike (d. 187), their sons: the elder Ibrahim-khan (1836–1869) and the younger Rashid-khan (d. 1876), as well as their relatives: Shikhshabek (d. 1865), Mirza-bek, son of Abusulan nutsal-khan  (d. 1855) and other representatives of the local aristocracy buried in this cemetery.
Bodhisattva Manjushri and Zanabazar (1635–1723)
Authors: Syrtypova S.-K. D.
Published: June 2023

A series of articles on various aspects of the work by the great Buddhist master Gombodorjiin Zanabazar (1635–1723), allows the reconstruction of the image of the wisdom deity Manjushri. In the Buddhist pantheon Manjushri belongs to the rank of bodhisattvas, the enlightened beings who have set themselves the highest altruistic goal — to help all living beings until they all achieve Buddhahood. The acquisition of knowledge and wisdom is considered the main thing in the practice of Buddhists. Therefore, the cult image of Manjushri is one of the most widespread. The bodhisattva Manjushri also occupies a prominent place in the work of Zanabazar; in this work, there are about a dozen identified images, which are preserved in various museum and private collections in Mongolia, Russia and China. Among these works, there are, indeed, no masterpieces of the highest rank, which include, for example, the Tathagatas of the Five Kinds and the White Tara. Nevertheless, they deserve special attention because they bear the main features of the Zanabazar’s artistic style. For the first time, the article offers an all-encompassing description of all Manjushri images by Zanabazar and his school.
“Oriental affairs secretary” Semyon Avramov
Authors: Kurukin I. V.
Published: June 2023

The article examines the missions of the Russian consul in Iran, Semyon Avramov, based on archival documents. The former serf came to Iran in 1717 as a translator of the Ambassador Artemy Volynsky. He proved himself a skilled diplomat, was appointed consul and for several years carried out the tasks of Peter I, his successors and the commander of the Russian troops in Iran, General V.Ya. Levashov. Avramov accompanied Persian envoys to Russia, obtained information about the resources and trade of the Caspian provinces of Iran, negotiated with the rulers of the country and for several years sought to ratify the St. Petersburg Treaty of 1723, according to which Iran ceded the northern provinces to Russia in exchange for military assistance.
Chinese Legends about the Construction Sacrifice in the 8th — 9th Centuries and Worship of the Smithing Goddesses
Authors: Starostina A. B.
Published: June 2023

Legends of women who threw themselves into a smelting furnace and became patron goddesses of blacksmiths and founders (so-called tou lu shen) have existed in China since the 8th century. Cults for such goddesses have been common in many regions for more than a thousand years, but their origins remain unknown. Two Tang stories about the construction of city walls in Balkh and Fenzhou, respectively, must be considered as parallels to the first surviving record of the legend of a goddess of the furnace. Identifying the motifs that make up these stories in turn allows us to establish their affinity with a group of Indian and Eastern European tales of walled-up wives.
LXII George Roerich Annual International Meeting. Text and Cultural Dynamics: Ancient and Medieval India and Central Asia
Authors: Tyulina E. V.
Published: June 2023

This article is an overview of the George Roerich Annual International Meeting. In 2022, it was dedicated to the 120th anniversary of the birth of the outstanding Russian orientalist George Roerich (russ.: Yurii Nikolaevich Rerikh 1902–1960), in whose memory this conference is being held. In the memorial part, the speakers told about Roerich's scientific achievements in the field of Tibetology and Indology. The subject of the scientific part corresponded to the stated theme — “Text and cultural dynamics: Ancient and medieval India and Central Asia” and covered the geographical area of the sphere of scientific interests of George Roerich. The speakers presented their latest research of this region, related to various fields of science — philology, literary studies, linguistics, philosophy, cultural history, religious studies and art history.
MICROELECTRONIC AUTOGENERATOR TEMPERATURE SENSORS
Authors:   Vinnytsia National Technical University, OSADCHUK Iaroslav
Published: June 2023

Microelectronic autogenerator temperature sensors based on transistor structures with differential negative resistance with primary parametric thermosensitive elements based on bipolar and field-effect transistors are proposed, moreover, primary parametric thermosensitive elements are active components of the circuits of parametric autogenerator temperature sensors, which greatly simplifies the design of the device. Based on the consideration of physical processes in primary parametric temperature-sensitive components and autogenerators of temperature sensors, mathematical models of autogenerator temperature sensors were developed, on the basis of which analytical expressions were obtained to determine the parametric dependences of sensitivity functions and transformation functions. It is shown that the main contribution to the conversion and sensitivity functions is made by a change in the ambient temperature, which causes a change in the equivalent capacitance and negative differential resistance of parametric autogenerator temperature sensors, which, accordingly, changes the output frequency of the device. The sensitivity of the sensor with a thermally sensitive bipolar transistor is from 11.25 kHz/°C to 21.5 kHz/°C, and the sensor with a thermally sensitive field-effect transistor is from 2.77 kHz /°C to 4.25 kHz/°C in the range of ambient temperature change 0 оС up to 100 оС. The obtained parametric dependences of the sensitivity and conversion functions show the possibility of easier calculation of the main characteristics of parametric autogenerator sensors, and also clearly demonstrate the influence of each component of parametric transducers and elements of parametric self-oscillating sensors on the output frequency of devices in comparison with the calculations of sensitivity and conversion functions from nonlinear equivalent circuits basis for solving the Kirchhoff equations.
RESEARCH OF STRUCTURAL AND MECHANICAL PROPERTIES OF MEAT AS AN OBJECT OF PROCESSING IN MEAT COMMINUTOR
Authors:   Lviv Polytechnic National University, Synko Anna
Published: June 2023

Today, there is a rapid development of the field of information technologies, which consists of the production of information technologies and related information, which must be written in the form of documentation. Formation of documentation that will contain not only the opinion of the manufacturer, but also the consumer becomes an important task. Because in the first of all, the software is primarily user-oriented. Developers usually provide a description of the software on official sites or in data repositories. While consumers post information in virtual communities, which are rapidly gaining popularity among the population. As a result, the author developed the system architecture for the formation of software documentation based on user experience, the source of which will be virtual communities. The architecture is presented in the form of a multi-agent system, which consists of the set of interacting agents. Agents are autonomous and interactive software systems that solve certain separate tasks, activate themselves and can interact with other agents and the environment in which they function at different points in time. After studying the methods of data integration from virtual communities, the method of data consolidation was chosen. For the correct interaction of agents, each other, a consolidated data repository is used, which receives data from various virtual communities and transfers it to documentation. The system architecture includes the following agents: data collection (from various virtual communities and their transfer to the consolidated data repository); verification of information content of posts (which were obtained as a result of the work of the previous agent) for reliability and adequacy, presence of unwanted content, elimination of duplication of data; structuring community posts according to existing documentation parts; assessment of the quality of the generated documentation according to the characteristics of the ISO/IEC 25010 standard.
ANALYSIS OF ELECTROMAGNETIC TRANSIENTS IN THE LOW-VOLTAGE DISTRIBUTION NETWORK OF AN INDUSTRIAL ENTERPRISE
Authors: DAVYDENKO Liudmyla , DAVYDENKO Volodymyr ,   Lutsk National Technical University
Published: June 2023

Analysis of a short circuit in the distribution network with a voltage of up to 1 kV of the power supply system of an industrial enterprise. The procedure for calculating the short-circuit current in accordance with the recommendations of the ANSI/IEEE standard C37 series, which regulates the calculation of the short-circuit current for the selection and verification of switchgear and protective devices according to the short circuit current rating, was used to calculate the short-circuit current in the low-voltage distribution network of an industrial enterprise. The need to automate the process of calculating short-circuit currents in the power supply system of an industrial enterprise was substantiated. The Electrical Transient Analyzer Program (ETAP) software was used as an analysis tool. The design of the low-voltage distribution network was carried out in the ETAP software environment. The Short Circuit package of the ETAP software was used to calculate the short-circuit current on any bus of the distribution network. The result of the analysis is the determination of the short circuit current values and the verification of the compliance of the characteristics of the installed electrical equipment with the short-circuit currents. The effectiveness of using ETAP software for short-circuit analysis in order to select and verify the electrical equipment of the low-voltage distribution network of an industrial enterprise according to the level of short-circuit current was proven. The results of the analysis of the short-circuit current using the ETAP software provided an opportunity to verify the correctness of the decisions made regarding the selection of low-voltage switchgear of the distribution network of the facility’s power supply system. Analysis of short-circuit current using ETAP software provides the possibility of selecting switchgear and protective devices according to the level of short-circuit current, which contributes to the design of a reliable power supply system for the facility.
CREATION OF SALARY PREDICTION SYSTEM
Authors: KRYVENCHUK Yurii , HORISHNA Nadiia ,   Lviv Polytechnic National University
Published: June 2023

Salary prediction is an important problem for many organizations as it directly affects the financial wellbeing of employees and the competitiveness of the organization. Accurately predicting employee salaries enables organizations to make informed decisions about compensation and benefits packages, leading to a more equitable distribution of compensation, improved organizational performance and increased employee satisfaction. In today’s highly competitive job market, accurate salary prediction is increasingly important as organizations seek to attract and retain the best talent, maintain a motivated and productive workforce, and stay ahead of the competition. The prediction of salaries for employees can be challenging as it requires taking into account a wide range of factors including years of experience, education, skills, job responsibilities, industry trends and more. Salary prediction systems can also help to identify and eliminate any potential salary disparities between different groups of employees. By providing a more objective and data-driven approach to determining salaries, these systems can help to promote fairness and equity in the workplace. Additionally, salary prediction systems can be useful for companies to budget and plan their finances, by having a better understanding of the potential salary range for a given job, the company can budget accordingly. The practical value of this work is the salary prediction system which can provide valuable insights and help to make more informed decisions about compensation, which can benefit both employers and employees Moreover, with the advent of machine learning and artificial intelligence, it has become possible to develop sophisticated algorithms and models to analyze vast amounts of data and make accurate salary predictions. These systems use deep learning techniques, such as neural networks, to analyze large amounts of data and predict salaries based on a wide range of factors. This technology is becoming increasingly widespread and is poised to play a major role in the future of human resources and compensation decision-making.
ANALYSIS OF METHODS FOR DETERMINATION OF CHLORINE DIOXIDE, CHLORITE AND CHLORATE ANIONS IN DRINKING WATER
Authors:   Оdessa National Medical University, MOKIIЕNKO Andrii , SPASONOVA Larysa , BONDARCНUK Oleksandr ,   National Technical University of Ukraine «Sikorsky polytechnical Institute»
Published: June 2023

The analysis shows that the primary measure for the purification of drinking water is its reliable disinfection with oxidants, which are chlorine and its compounds, chlorine dioxide, ozone. The aim of the article is to analyze the existing methods for determination of chlorine dioxide, chlorite, hypochlorite and chlorate anions in drinking water. To analyze the chlorine dioxide strength solutions (to control the generator performance) the iodometric method (determination of chlorine dioxide concentration, concentration of free chlorine, chlorite and chlorate anions; relative error ≤ 5%) and the method of direct absorption at 445 nm (determination of chlorine dioxide concentration in the range of concentrations of 100-700 mg / l; relative error ≤ 2%) were used. To analyze the residual concentrations of chlorine dioxide, chlorite and hypochlorite anions in their joint presence the titrimetric and photometric methods with N,N-діетил-1,4-фенилендіамінсульфатом (DFD) (error of determination is of 0.05 mg/l) were used as well as iodometric method with photometric determination of iodine at 350 nm in the concentration range 0.01-0.5 mg/l. To analyze the residual concentrations of chlorine dioxide (selective methods), such methods were used: the photometric method with chlorophenol red in the concentration range of 0.02-0.7 mg/l; relative error ≤ 5%; photometric method with chromic violet acid in the concentration range of 0.1-1.5 mg/l. The method of ion chromatography was used to analyze the residual concentrations of chlorite and chlorate anions. Given the necessity for harmonization of domestic regulatory and guidance documentation with European one, it should be considered as necessary to control chlorites and chlorates in drinking water by method of ion chromatography. It is appropriate to conduct research on the approbation of ion chromatography method for the simultaneous determination of chlorites and chlorates in samples of water after its disinfection by various oxidants (sodium hypochlorite, ozone, chlorine dioxide).
THE RELEVANCE OF THE BUGINESE LOCAL WISDOM VALUES TO RELIGIOUS MODERATION
Authors: Hamzah Hamzah , Zubair Asni , Satriadi Satriadi
Published: June 2023

This study aims to explore the local wisdom values of the Buginese community regarding Sipakatau, Sipakainge, and Sipakalebbi, manifestations of local wisdom values, and their relevance to religious moderation in Indonesia. This research is classified as qualitative descriptive research with exploratory methods and anthropological approaches. This research was conducted in Mallari Village, Bone Regency, which still has a strong practice of local wisdom and historical values. Data collection was carried out through in-depth interviews, observation, and documentation. The collected data was analyzed, and then the qualitative data were coded for the credibility of the results using the Nvivo-12 software. The results of the study show that (1) the local wisdom values of the Buginese, Sipakatau, Sipakainge, and Sipakalebbi are understood as traditional teachings/noble values, life guidelines, identity and customs that are in line with the Shari'a. (2) The manifestation of Buginese local wisdom values is reflected in people's behaviour by humanizing each other, having good etiquette towards the government, and mutual respect. (3) The relevance of Buginese local values to religious moderation programs lies in the human values of humanizing one another (sipakatau),  respecting  each other (sipakalebbi),  and  reminding  each other (sipakainge’).  The principle of Buginese local wisdom values that as long as they are human beings, it is appropriate to humanize, respect, and remind each other regardless of ethnicity, religion, and race; this is in line with national commitment and tolerance in religious moderation in Indonesia.

 
ONE WORLD, MANY RELIGIONS: THE LOCAL WISDOM VALUE AND SOCIAL RELIGIOUS ORGANIZATIONS IN STRENGTHENING TOLERANCE
Authors: Nasriandi Nasriandi , Pajarianto Hadi , Makmur Makmur
Published: June 2023

The index of tolerance for harmony among religious communities in Indonesia is fluctuates, tends to strengthen but is still affected by intolerance cases which should not have happened at the first place. This study aims to identify the local wisdom value in maintaining diversity, and the role of socio-religious institutions to strengthen diversity. Qualitative research methods involve 30 informants selected by using purposive sampling and data collected within-depth interviews, in January-February 2023. data were analyzed thematically and carried out through three stages; data reduction, data display, and drawing conclusions and verification. The results of the research show that there is an implementation of the contact theory by utilizing local wisdom in the ethnic groups that inhabit this research locus are Sipakatau, Sigunakannge, and Sipakalebbi, Teposliro, Meyama-Braya, Asah, Asih, Asuh, and Banjar traditions. The implementation of these values is strengthened by socio-religious institutions consisting of religious and traditional leaders, youth, educational institutions, politicians, the economy, which also strengthen community contact activities, which functionally play a role in accordance with their respective fields. The contribution of this research is practically to strengthen tolerance in a diverse society, which is often affected by intolerance cases. The  declaration of Kampung Pancasila at the research locus is a concrete manifestation of the will of the entire community to live together in a peaceful atmosphere.
Real-World Applications of Machine Learning
Authors: Rizvi Syed Tahir Hussain
Published: June 2023

From the real-time forecasting of events to Visual analysis tasks, the state-of-the-art machine learning algorithms exhibit unmatched performance. Furthermore, with the ongoing traction of embedded computing, the deployment of machine learning algorithms on mobile devices is receiving increasing attention. There are numerous practical applications where hand-held devices having machine learning methods can be more useful due to their compact size and integrated resources. However, for the realization of ML methods on embedded devices, either the used algorithm should be less computationally complex or there should be some efficient way to implement a state-of-the-art algorithm on a less-powerful embedded device. In this paper, different approaches for reducing the computational complexity of a machine learning-based computer vision application are presented that can be helpful to make other such algorithms applicable on the embedded devices. Results show that the hardware architecture based exploitation can further improve the performance of an existing framework.
A Conceptual Model for Implementing Explainable AI by Design: Results of an Empirical Study
Authors: Van Den Berg Martin , Kuiper Ouren , Van Der Haas Yvette , Gerlings Julie , Sent Danielle , Leijnen Stefan
Published: June 2023

Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation of XAI is not straightforward, as it requires addressing both technical and social aspects. Previous studies on XAI primarily focused on either technical or social aspects and lacked a practical perspective. This study aims to empirically examine the XAI related aspects faced by developers, users, and managers of AI systems during the development process of the AI system. To this end, a multiple case study was conducted in two Dutch financial services companies using four use cases. Our findings reveal a wide range of aspects that must be considered during XAI implementation, which we grouped and integrated into a conceptual model. This model helps practitioners to make informed decisions when developing XAI. We argue that the diversity of aspects to consider necessitates an XAI “by design” approach, especially in high-risk use cases in industries where the stakes are high such as finance, public services, and healthcare. As such, the conceptual model offers a taxonomy for method engineering of XAI related methods, techniques, and tools.
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes
Authors: Naggita Keziah , Aguma J. Ceasar
Published: June 2023

Machine Learning (ML) decision-making algorithms are now widely used in predictive decision-making, for example, to determine who to admit and give a loan. Their wide usage and consequential effects on individuals led the ML community to question and raise concerns on how the algorithms differently affect different people and communities. In this paper, we study fairness issues that arise when decision-makers use models (proxy models) that deviate from the models that depict the physical and social environment in which the decisions are situated (intended models). We also highlight the effect of obstacles on individual access and utilization of the models. To this end, we formulate an Equity Framework that considers equal access to the model, equal outcomes from the model, and equal utilization of the model, and consequentially achieves equity and higher social welfare than current fairness notions that aim for equality. We show how the three main aspects of the framework are connected and provide questions to guide decision-makers towards equitable decision-making. We show how failure to consider access, outcome, and utilization would exacerbate proxy gaps leading to an infinite inequity loop that reinforces structural inequities through inaccurate and incomplete ground truth curation. We, therefore, recommend a more critical look at the model design and its effect on equity and a shift towards equity achieving predictive decision-making models.
Organizations’ Interpersonal Activity Knowledge Representation
Authors: Sonfack Sounchio Serge , Coudert Thierry , Kamsu Foguem Bernard , Geneste Laurent , Beler Cédrick , Namakiaraghi Sina
Published: June 2023

Knowledge is essential for organizations’ growth as it allows them to solve problems, make decisions, innovate, and stay competitive. Within organizations, there is, on the one hand, explicit knowledge that is easy to capture, represent, and share. On the other hand, there is tacit knowledge possessed and acquired by individuals during their activities. Unlike explicit knowledge, tacit knowledge is difficult to capture and formalize. Organizations have granted more interest and efforts in representing, sharing, and reasoning from explicit knowledge. However, for tacit personal knowledge, they rely on methods such as meetings, mentoring, questions answering, or interviews which are limited in capitalizing on personal knowledge. This study elaborates on the construction of interpersonal activity graphs for representing, sharing, and reasoning on organizations’ tacit knowledge possessed by individuals. The established graph is based on an extended activity theory framework and an ontology for common semantics. The proposed representation captures tacit knowledge in a graph form, making it shareable while offering means to reason and query it.
“Who’s a Good Robot?!” Designing Human-Robot Teaching Interactions Inspired by Dog Training
Authors: Paci Patrizia , Tiddi Ilaria , Preciado Daniel , Baraka Kim
Published: June 2023

Recent work in Human-Robot Interaction (HRI) investigates the role of human users as teachers from which robots can flexibly learn new personalised skills through interaction. However, existing human-robot teaching methods remain largely unintuitive for the end user and require significant effort to adapt to the way the robot learns. This paper envisions the use of dog training methods as a starting point for HRI researchers to develop more intuitive interactions between human teachers and robot learners. We provide a design framework (called FETCH-R) aimed at guiding the conception of interactions between human teachers and robot learners inspired by dog training. This work paves the way towards the use of animal training as an inspiration to create human-robot teaching protocols that promote engagement, ease-of-use, and fosters human-robot relationships.
Co-Performing Music with AI: Real-Time Performance Control Using Speech and Gestures
Authors: Borovik Ilya , Viro Vladimir
Published: June 2023

We present an interactive music AI system that enables users to co-create expressive performances of notated music using speech and gestures. The system provides multi-modal interactive dialog-based control of performance rendering via smartphones and is accessible to people regardless of their musical background. We train a deep learning music performance rendering model on sheet music and associated performances with notated performance directions and user-system interaction data. Users have the opportunity to actively participate in the performance process. A speech- and gesture-based feedback loop with interactive learning improve the accuracy of performance rendering control. We believe that many people can express aspects of music performance using natural human expressions such as speech, voice, and gestures, and that by hearing the music follow their communicated intent, they can achieve deeper immersion and enjoyment of music than otherwise possible. With this work we pursue the goal of developing novel, fulfilling, and accessible music making experiences for large numbers of people who are not currently musically active.
Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness
Authors: Simson Jan , Pfisterer Florian , Kern Christoph
Published: June 2023

A vast number of systems across the world currently use algorithmic decision making (ADM) to augment human decision making or even automate decisions that have previously been done by humans. When designed well, these systems promise both more accurate and more efficient decisions all the while saving large amounts of resources and freeing up human time. When ADM systems are not designed well, however, they can lead to unfair algorithms which discriminate against societal groups under the guise of objectivity and legitimacy. Whether systems are ultimately fair or not typically depends on the decisions made during the systems’ design. It is therefore important to properly understand the decisions that go into the design of ADM systems and how these decisions affect the fairness of the resulting system. To study this, we introduce the method of multiverse analysis for algorithmic fairness. During the creation and design of an ADM system one needs to make a multitude of different decisions. Many of these decisions are made implicitly without knowing exactly how they will impact the final system and whether or not they will lead to fair outcomes. In our proposed adaptation of multiverse analysis for ADM we plan to turn these implicit decisions made during the design of an ADM system into explicit ones. Using the resulting decision space, we create a grid of all possible “universes” of decision-combinations. For each of these universes, a fairness metric is computed. Using the resulting dataset of possible decisions and fairness one can see how and which decisions impact fairness. We demonstrate how multiverse analyses can be used to better understand variability and robustness of algorithmic fairness using an exemplary case study of predicting public health coverage. We show preliminary results illustrating how small decisions during the design of an ADM system can have surprising effects on its fairness and how to detect them using multiverse analysis.
Hybrid Intelligence – Human-AI Co-Evolution and Learning in Multirealities (HI)
Authors: Järvelä Sanna , Zhao Guoying , Heikkilä Janne , Järvenoja Hanna , Mikkonen Kristina , Kaleva Satu
Published: June 2023

The presence of Artificial Intelligence (AI) is growing in all areas of life. However, current data-driven AI is still too narrow to help humans, lacking in social and emotional intelligence and restricted in reality (Fan, Xu, Cao et al. 2022). By placing the emphasis on mutual understanding and learning from each other, our research programme “Hybrid Intelligence – Human-AI co-evolution and learning in multirealities (HI)” aims at combining the strengths of both humans and machines in their co-evolutionary processes. We propose to build the idea of a metaversum (Rosas, 2021) by combining our physical and virtual realities towards a multi-reality.
PAIRADS: Hybrid Interaction Between Humans and AI in Radiology
Authors: Ontika Nazmun Nisat , Sassmannshausen Sheree May , Pinatti De Carvalho Aparecido Fabiano , Pipek Volkmar
Published: June 2023

This article describes an ongoing research project that aims to develop a hybrid AI system for aiding radiologists in diagnosing prostate cancer. Through our qualitative research including contextual inquiries and interviews, we analyzed the current workflow and context of use in German radiology centers. Based on that, we explore the potential benefits and challenges of using AI for detecting and diagnosing prostate cancer in medical practice in a hybrid human-AI interaction.
A Testbed for Cognitively Plausibly Bartering Agents
Authors: Cooley-Russ Lamar , Lakkanige Kalyani , Kumar Sumit , Pranesh Raj Ratn , Rajtmajer Sarah , Wagner Alan R.
Published: June 2023

We present an initial experimental testbed for human-AI interaction in the context of a simple bartering scenario. With pilot studies, we demonstrate the opportunity this platform provides for computational modeling of human behavior in the context of a simple market. Demonstration can be viewed at https://youtu.be/o5lnzMlMMt4.
Building Appropriate Trust in AI: The Significance of Integrity-Centered Explanations
Authors: Mehrotra Siddharth , Centeio Jorge Carolina , Jonker Catholijn M. , Tielman Myrthe L.
Published: June 2023

Establishing an appropriate level of trust between people and AI systems is crucial to avoid the misuse, disuse, or abuse of AI. Understanding how AI systems can generate appropriate levels of trust among users is necessary to achieve this goal. This study focuses on the impact of displaying integrity, which is one of the factors that influence trust. The study analyzes how different integrity-based explanations provided by an AI agent affect a human’s appropriate level of trust in the agent. To explore this, we conducted a between-subject user study involving 160 participants who collaborated with an AI agent to estimate calories on a food plate, with the AI agent expressing its integrity in different ways through explanations. The preliminary results demonstrate that an AI agent that explicitly acknowledges honesty in its decision making process elicit higher subjective trust than those that are transparent about their decision-making process or fair about biases. These findings can aid in designing agent-based AI systems that foster appropriate trust from humans.
WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement in Cardiac Rehabilitation
Authors: Van Tuijn Rosa , Lu Tianqin , Driesse Emma , Franken Koen , Gajane Pratik , Barakova Emilia
Published: June 2023

We introduce WeHeart, a personalized recommendation device that aims to gradually increase physical activity levels in cardiac rehabilitation. The importance of physical activity in cardiac rehabilitation as a means of reducing associated morbidity and mortality rates is well-established. However, forming physical activity habits is a challenge, and the approach varies depending on individual preferences. Our solution employs a Random Forest classification model that combines both measured and self-reported data to provide personalized recommendations. We also propose to make use of Explainable AI to improve transparency and foster trust.
Neurosymbolic Narrative Generation for Cultural Heritage
Authors: Palma Cosimo
Published: June 2023

Aim of my research is to exploit Linguistic Linked Open Data (LLOD) as base for advanced Cultural Heritage (CH) fruition by means of Automatic Story Generation (ASG) . Following the rationale that discovering and reviving already existing (yet latent) narratives is worthier than automatically generating them from anew in eliciting the user’s interest, the input-2-graph and the graph-2-sequence ASG-pipeline phases, heavily relying on LLOD, will be given a deeper focus, whereby the final Natural Language Generation (NLG) module will be constrained by the entities and relations established in the Knowledge Graph (KG) generation modules (a configuration typical of the neurosymbolic approach). In order to enhance possibilities of implementation in real-life contexts, the elaborated pipeline will be modular, i.e. self-sufficient in its constituent parts. Beyond the countless possible application scenarios ranging from education to entertainment, this solution detangles the user from his role of mere consumer, and empowers him not only to control the creation process [3.1], but also to find already within it, and not necessarily in the final outcome, a valuable source for intellectual growth. This work intends the addressing of a specific societal need as an avalanche to simultaneously fill knowledge gaps identified in and among the related scientific domains.
Sharing Quality Information in New Digital Systems: Management Considerations
Authors: Villumsen Sidsel , Jonasson Charlotte
Published: June 2023

Health information technology is often assumed to improve healthcare. However, expectations of health information technology are seldomly met in full for multiple reasons. While the implementation of health information technology, is increasingly being investigated and evaluated, less attention has been paid to the preceding choices made by key people on how to share relevant information in new HIT systems. This study brings to light the central considerations exercised by key people in charge of managing the process of how to share information through locally developing new digital systems for quality information management. The multiple decisions revolved around three main considerations: user conditions and role, integration into local setup, and resources. Weighing the cost benefit balances of these perspectives are likely to influence subsequent access to and use of high-quality information in public healthcare and are therefore central to the management of effective health information technology.
Humanizing Big Data and Detailing Social Determinants of Health via Information Visualizations
Authors: Joseph Amanda L. , Monkman Helen , Minshall Simon R. , Quintana Yuri
Published: June 2023

The pandemic has had devastating impacts on humanity and the global healthcare sector. An analysis into the social determinants of health, in particular racial and ethnic disparities may explain why certain population groups have been disproportionately affected by COVID-19. The objective of this study is to humanize and personify numerical data. Additionally, COVID-19 population data will be stratified via three data visualization tools (i.e., a persona, a journey map, Sankey diagram) to create a Visualized Combined Experience (VCE) Diagram to illustrate the micro, and macro, perspectives of marginalized individuals across the continuum of care.
Information Models Properties in Learning Health Systems: A Literature Review
Authors: Skeidsvoll Solvang Øivind , Cassidy Sonja , Marco-Ruiz Luis , Lintvedt Ove , Solvoll Terje
Published: June 2023

Learning Health Systems (LHS) are challenged by fragmented health data. In Valkyrie, information models (IM) are explored as translators for the underlying, fragmented data structures and can potentially extend to support a future LHS. In this paper, a literature review was performed to search for property requirements for semantic interoperable IMs in the context of an LHS. The literature was examined and property requirements elicited in the context of an LHS.
The Role of Italy’s Ministero della Cultura in the Process of Improving Accessibility to Cultural Heritage: National Lines of Action and Prospects for Protection in the Territory of the Soprintendenza di Cremona, Lodi e Mantova
Authors: Bressan Giulia
Published: June 2023

Improving the accessibility of Italy’s cultural heritage is one of the essential conditions for ensuring its qualitative fruition and, therefore, one of the main tasks of the Ministero della Cultura. Recent renewed interest in this issue has led to the launch of a series of important ministerial initiatives, both at the central and peripheral levels, with the main objective of seeking that delicate balance between the demands for conservation and protection and the improvement of the level and quality of accessibility.
“DİVAN-I KEBİR’DEN SEÇME ŞİİRLER” KİTABI; KAYNAK VE MUHTEVA ELEŞTİRİSİ
Authors: LEVENT MENTEŞE Güngör , KARAİSMAİLOĞLU Adnan
Published: June 2023

Midhat Bahari Beytur’un üç cilt halinde çevirdiği Divan-ı Kebir’den Seçme Şiirler adlı eser, Rızâkuli Hân Hidâyet tarafından Mevlânâ’nın Dîvân-ı kebîr adlı eserinden seçilerek oluşturulan Şemsu’l-hakâyik’tır.

Bu çevirinin bu makalede konu edinilmesinin ana sebebi Divan-ı Kebir’den Seçme Şiirler kitabının Mevlânâ’ya ait olmayan bazı şiirleri barındırması ve bu şiirler üzerinden İran’da ve Türkiye’de Mevlânâ Celâleddîn Muhammed hakkında bazı yargıların oluşturulmasıdır.

Midhat Bahari’nin önsözde verdiği bilgilere göre, her üç ciltte yer alan şiirlerin sayısal verileri 702 gazel; 74 kaside; 1 terkib-i bend; 16 terci-i bend; 3 nazım; 1 kıta ve 11 rubâi şeklindedir. Ayrıca Beytur çevirisinde Hz. Ali, Şems-i Tebrizi ve Mevlânâ hakkında yoğun övgü içeren dipnotlara yer vermekte ve dikkat çekici açıklamalar yapmaktadır.

Bu çeviri eserde yer alan 33 gazelin B. Furûzânfer’in hazırladığı Külliyât-ı Şems neşrinde bulunmadığı tespit edilmiştir. Ayrıca 33 gazelin 5’inin farklı şairlere ait olduğu sonucuna ulaşılmıştır.

Bu makalede, Divan-ı Kebir’den Seçme Şiirler adlı çeviri kitabında Mevlânâ’ya ait olmayan bu şiirlerin Mevlânâ’ya atfedilmesi ve bunlar aracılığıyla İran’da ve Türkiye’de Mevlânâ Celâleddîn Muhammed hakkında oluşan olumsuz görüşlere açıklık getirilmesi amaçlanmıştır.
The Epidemiological and Clinical Manifestations of COVID-19 Variants in the Punjab Tertiary Care Hospitals
Authors: Tahir Muhammad Saad Bin , Waseem Muhammad , Ullah Muhammad Salman , Hussain Nageen , Kazmi Faiza , Rasheed Munaza , Qammar Aman
Published: June 2023

The first case of COVID-19 originated in China which then started spreading rapidly all over the world as a deadly pandemic. A huge number of people started to suffer due to the rapid attacks and virulent nature of the COVID-19 virus. This virus swiftly spreads from person to person. Initially considered as pneumonia due to similar signs and symptoms, with the passage of time its gravity was realized as compared to that of pneumonia. This virus attacks human respiratory system, damaging it to death. A survey was conducted during the pandemic to determine the prevalence and distribution of COVID-19 spread and its patient rate. Swabbed sticks were collected from different government and private hospitals following COVID-19 SOPs. A systematic data analysis was conducted by using different epidemiological tools to evaluate the prevalence and distribution rate of COVID across the country. Data was collected from all types of COVID-19 patients, including those on ventilator, admitted patients, patients with minor signs and symptoms, and patients having no symptoms but tested positive for COVID-19 by qRT-PCR. People who were already vaccinated were also included in this survey. A number of people showed positive vaccination effects, while most of them were not willing to receive vaccination. The study also illustrated that most of the patients who were admitted in hospitals showed severe symptoms, whereas some exhibited minor symptoms. It could be due to the fact that hospitals lack the facilities to accommodate every patient. Therefore, they only admit individuals with major symptoms and those having minor symptoms but with other complications. Whereas, patients with minor symptoms were referred to home isolation.
A Review of Veterinary and Economically Devastating Coronaviruses: Emphasising Poultry and Pigs
Authors: ISMAIL Mohd Iswadi
Published: June 2023

Coronaviruses are known can cause a significant impact on veterinary medicine and socio-economic. Understanding the biological characteristics and dynamics of pathogenic coronaviruses is a major scientific challenge with potential impacts on animal health. Coronaviruses are typically known to cause respiratory or enteric diseases in poultry and pigs. However, some coronavirus strains may cause extra-pulmonary and extra-intestinal disorders. Keeping in view the limitations of the current knowledge, the impact of coronaviruses on poultry and pigs was examined.
Formation of concepts of space and time in the Kazakh worldview
Authors:   L.N. Gumilyov Eurasian National University, Zhangaliyeva A.R. , Zhanabayev Zh.M. ,   S.Seifullin Kazakh Agro Technical University
Published: June 2023

The problem of space and time in philosophy was considered as one of the commonly important problems, regardless of what historical period, no matter what civilizational structures they entered. Space and time are base of our understanding of the world. The article identifies the problems of space and time that take a special historical and philosophical place in the content structure of the Kazakh worldview and the understanding is presented regarding the typical features through the analysis of the these categories. It also addresses the directions of the forms of space and time in the nomadic civilization and traditional Kazakh culture. The concepts of space and time in the worldview of the Kazakh people are clearly explained by various examples and the everyday use of the categories of space and time in the national vision of Kazakh people is provided. The presented article is intended to reveal the main dynamics of time and space in the worldview of the Kazakh people (time, past, world, nomadic tradition, life, etc.). The existence of special views of Kazakh thinkers, characteristic of space and time, is the essence of the research problem. Specific examples show that the Kazakh people had their own temporal and spatial dimensions and they were given a philosophical analysis. The article analyzes the features of comparison and identification in the use of the categories of space and time. The place of the categories of space and time as the basis of the nomadic life of the Kazakh people is determined. The relevance of the topic lies in the fact that the use and specificity of the categories of space and time in the Kazakh worldview are explained by various examples, and the role and significance in the development of mankind are revealed from a philosophical point of view.
South Korean cinemotography: “soft power” perspectives
Authors:   L.N. Gumilyov Eurasian National University, Muzappar Ye.D. , Yermagambetova К.S. ,   L.N. Gumilyov Eurasian National University, Kim Sang-Сheol ,   Hankuk University of Foreign Studies
Published: June 2023

Last twenty years it is admirable fact that South Korean film production have gained the best position in world market as American, British and European counterparts. Korean movie Parasiteby Bong Joon Ho grabbed both Oscar and the highest price of Festival de Cannes. As we know films is not art only. Regarding previous researches, each movie presents its social and political context, values and culture to international audience. Therefore, it is crucial and actual to examine influence “to minds and hearts” of South Korean cinematography that has several million fans worldwide. The paper is aimed to study use of “soft power” and promotion of national culture in Korean films. Research is conducted by observation of Korean drama movies in Netflix. Four web-series were chosen as case study. Collected date is analyzed in terms of content analysis. Authors highlighted that South Korea sees Korean dramas as effective tool for cultural promotion and nation branding.