bluuebunny/crossref_metadata_2025 huggingface dataset:
Corporate reporting on social responsibility under martial law
Authors:   State University of Trade and Economics, FOMINA Olena
Published: June 2023

Today, it is important to create a demand for social responsibility, reporting on the contri­bution of business to the achievement of sustai­nable development goals to create jobs, improve communications between government, business and society, address economic, environmental and social issues, and build an economy that works for people. Businesses should report on their corporate social responsibility in counte­ring military aggression and maintaining peace and security. The purpose of the article is to highlight the peculiarities of preparing and pub­lishing corporate social responsibility reports in Ukraine and the EU. The study uses general scientific and special methods: induction, deduc-tion, comparative analysis, synthesis, generali­zation, grouping, abstraction, and the logical method. Reporting on corporate social respon­sibility allows demonstrating how a business affects the natural environment and society and what contribution it makes to achieving sustai­nable development goals. It is established that there is no single standard, guideline or frame­work for the preparation and presentation of corporate social responsibility reporting; a num­ber of regulatory documents at the international, European, regional and national levels have been adopted to date, but cooperation continues to harmonize existing standards and approaches and promote them among a wide range of users. In order to strengthen European integration, Ukraine needs to establish a national system of regulation, incentives, certification, monitoring and evaluation of corporate social respon­si­bility, verification and verification of corporate social responsibility reporting, and adoption of the best European experience.
European integration: challenges for foreign trade
Authors:   State University of Trade and Economics, ZUBKO Tetiana , DANCHENKO Larysa
Published: June 2023

The practical significance of this study lies in highlighting the challenges accompanying the process of implementing the principles of the European integ­ration process for Ukrainian trade and the possibi­lities of economic responses to them. The aim of the study is to identify risks and threats to Ukraine’s trade caused by the development of the European integration process. To achieve the goal, the methods of theoretical generalization, analysis and synthesis were used. According to the results of research by leading scholars, the main challenges accompanying the process of EU integration with Ukraine in the field of trade have been determined. The risks and threats caused by the process of European integration for Ukraine are classified into the following groups: political, financial, the use of labour force, commodity, competitiveness, technological, environmental, and social. It was noted that in order to overcome the mentioned risks and threats, Ukraine needs to significantly diver­sify its efforts. The set of measures related to the implementation of the European integration process includes: continuation of the announced reforms, expansion and diversification of markets for Ukrainian products, protection and support of Ukrainian producers. In this situation, measures to overcome economic crime and proposals for changes to the Agreement that will maximally take into account the interests of Ukraine are also important.
The use of literature and songs from varying cultures in Węgajty Theatre’s Kalevala; fragmenty niepisane
Authors: Hill Trevor
Published: June 2023

Despite being produced and performed in 2000-2001 Projekt Terenowy Węgajty’s Kalevala; fragmenty niepisane has received practically no academic attention. This article seeks to partly redress this by examining the use of German, Russian and Ukrainian songs in the production. The article examines the work against the group’s earlier projects as well as exploring the background behind the production and how songs from various different cultures and languages were used to illustrate the Finnish epic, as well considering how effective the strategies were overall.
Research and Design of VR Based Unmanned Aerial Vehicle Model and Database
Authors: Ma Wenlei , Li Siyu , Ren Hao , Liu Shiyu , Chen Mengting , Wang Ying , Jing Pu
Published: June 2023

In response to the application of drones in real life, drones are more susceptible to interference and influence from various external factors such as weather, site, airspace, etc. during flight operations or related tasks. Not only can they not guarantee the completion of expected goals or tasks, but they are also prone to problems such as falling, collision, or accidental injury caused by the unstable state of drones. The drone flight simulation, virtual training, and drone database system developed based on VR technology has improved the safety, diversity, and instability of drones in practical applications, and reduced the interference of external adverse factors on drone flight. A comprehensive drone model database system has been established. This provides effective guarantees for the application and implementation of drones in various fields.
Natuur-gebaseerd beheer als grootste gemene deler voor klimaatrobuuste en duurzame rivier- en beeksystemen
Authors: van Loon-Steensma Jantsje
Published: June 2023

Inaugurele rede uitgesproken bij de aanvaarding van het ambt van lector aan Hogeschool van Hall Larenstein, 16 juni 2023. Rivieren en beken zijn een gemeenschappelijk, gedeeld goed (in het Engels: common property). De grote rivieren stonden via transport van sediment aan de oorsprong van ons Deltaland en zijn een manifestatie van een belangrijk gedeeld proces: de waterkringloop (Fig. 1). De biogeochemische processen binnen diehydrologische kringloop zorgen voor ons belangrijkste gemeenschappelijk goed: zoet water. Oppervlaktewater – zoals zeewater – verdampt, en wordt door de wind in de vorm van wolken landinwaarts gebracht. Daar valthet als neerslag en zakt in de aarde, wordt gebruikt door planten, verdampt of stroomt vanuit een groter of kleiner stroomgebied via beken en rivieren terug naar zee. Het is daarbij van levensbelang voor ons allen: mensen, dieren en planten. Wij gebruiken rivieren en beken voor ons drinkwater, omvoedsel te verzamelen, als transportader, als riool, als natuurlijke hulpbron inagrarische en industriële productie, voor energieproductie (zowel waterkracht als koeling), als aantrekkelijke woonplaats en voor recreatie. Maar ook wilde dieren en planten gebruiken het als drinkwater,transportader, om voedsel te verzamelen en als leefomgeving. Daarnaast genieten we van de schoonheid van rivieren en beken en biedt het onsinspiratie. Een goed beheer van (het stroomgebied van) beken en rivieren is daarom een gemeenschappelijk belang, waarbij het cruciaal is om de draagkracht van onze watersystemen te kennen en ze niet te overschrijden. Soms moeten we daarvoor terug of verder kijken: naar hoe het vroegerwas, hoe onze buren het doen, of hoe het zou kunnen. In deze rede wordt geschetst hoe er met natuur-gebaseerd rivierbeheer op zoek wordt gegaan naar grote gemene delers: maatregelen waar velen baat bij hebben en waar de belangen ook samenvallen, terwijl we binnen de systeemgrenzen blijven en de draagkracht niet wordt overschreden.
CREATION OF CARIES DETECTION SYSTEM
Authors: KRYVENCHUK Yurii , OLESKEVYCH Sofiia ,   Lviv Polytechnic National University
Published: June 2023

The usage of modern technological solutions in dentistry is gaining increasingly popularity. Every year the systems are becoming more and more perfect. Of course, it will take more than one year to get the best ones and most reliable results, but you can be sure that it will completely change the way people think about receiving quality dental treatment. Identifying the problem, treatment and its quality directly depends on the human factor from both sides. This applies both to the doctor’s qualifications and his own experience, and to the patient. At the same time, doctors very often have to deal with non-standard and unique cases, complications, which in the future are accompanied by the involvement of a whole team of specialists. From the patient’s side – from X-ray to computed tomography – has a very high probability of receiving completely different diagnoses from specialists of the same sector. That is, in essence, his health depends on how accurately dentists will be able to interpret the results of examinations and formulate a treatment plan. In order to minimize the influence of the human factor, the use of artificial intelligence, which does not have the ability to miss nuances, feel fatigue and be distracted, is quite necessary.Caries, also known as tooth decay or cavities, are one of the most common oral health problems. They are caused by the buildup of plaque and bacteria on the teeth, which can lead to erosion of the enamel and dentin. Dental x-rays, also known as radiographs, are commonly used to detect caries in the early stages. However, interpreting radiographs can be challenging and prone to human error. AI-based caries detection systems can assist with the interpretation of radiographs by identifying patterns in the images that are indicative of caries. One example of an AI-based caries detection system is a machine learning algorithm will be trained to recognize patterns in radiographs that are indicative of caries. The algorithm can analyze the x-ray images and flag any areas of the tooth that have a high probability of being carious. This can help dentists identify the problem in its early stages, when it is still reversible, and provide appropriate treatment. AI-based caries detection systems can also be used to improve patient diagnosis and treatment by identifying high-risk patients, providing more accurate diagnosis, and developing personalized treatment plans.
CHRISTIANS’ TOLERANCE OF MUSLIMS’ RELIGIOUS SOUNDS IN TANA TORAJA
Authors: Akbar Akbar , Rantesalu Syani Bombongan
Published: June 2023

Despite extensive research on religious tolerance, there is little empirical research on the sensitive issue of sacred sound, particularly in minority Muslim areas. This issue emerged in Indonesia following the Minister of Religious Affairs' policy to regulate loudspeakers from mosques, which were seen as potentially causing intolerance. Religious tolerance remains well established in Muslim-minority areas such as Tana Toraja, even though mosques are allowed to sound freely. The present research explores the traces of Christian tolerance to the sound of mosques heard by minority Muslims. This qualitative study applied an interpretive phenomenological research design with religious leaders, academics, students, and Christian community members as data sources. Garret Keizer's noise theory and Robert Hayden's concept of tolerance categorisation were used to analyse the data. The research results indicated tolerance between religious communities as the mosque sound was accepted as a natural-cultural sound rather than a theological sound. Therefore, intolerance potential arises from the sociological rather than theological dimension. This study suggests that religious tolerance should be shaped by a professional understanding of one's faith and an appropriate response to the religious practices of others.  External factors such  as social, economic, and political issues, often framed as religious issues, are at the root of religious intolerance. In order to counter the risk of intolerance, a systematic and continuous socialisation of a moderate understanding of all elements of the religious communities is required.
MOSQUE-BASED ECONOMIC EMPOWERMENT IN THE MALAY WORLD: Views of Ibnu Khaldun's Asabiyah and Malik Bennabi's Civilization Theories
Authors: Fahmi Rizqi Anfanni , Suyitno Suyitno , Rochmiatun Endang
Published: June 2023

In the Malay world, mosque-based economic empowerment has grown in popularity, with Indonesia and Malaysia dominating the presentation of documents on the mosque economy. The purpose of this study was to conduct a literature review on the economic empowerment of mosques in the Malay world and its relationship to civilization. On the basis of keywords pertinent to the economic empowerment of mosques in the Malay world, scholarly articles indexed by Scopus and Google Scholar were reviewed. Using techniques of content analysis, 44 relevant articles were gathered and analyzed. The results indicated that mosque-based economic empowerment programs have increased in Indonesia, Malaysia, and Singapore, but not in Southern Thailand, Brunei Darussalam, or the Philippines, where mosques continue to be centers of religious activity. Mosque-based economic empowerment is consistent with Ibn Khaldun's Asabiyah concept, in which the mosque serves as a social organization for Muslims in Malay countries. In some countries, mosque-based economic empowerment has reached a spiritual and rational stage, according to Malik Bennabi. This study can be used as a resource by administrators of mosques and Islamic organizations in the Malay world region to promote economic empowerment to strengthen social cohesion and the Asabiyah of the Malay Muslim community.
A Survey of Smart Grid Intrusion Detection Datasets
Authors: Alani Mohammed M. , Baker Thar
Published: June 2023

Due to the rapid growth of smart grid applications all over the globe, it has become a more attractive target to malicious actors. Countries and stakeholders (e.g., governments) spend billions of dollars on ensuring the continuity and security of their smart grids for strategic and operational reasons. In fact, the risk associated with compromising a smart grid is considered among the highest in the cybersecurity world. This paper surveys a group of well-known smart grid intrusion detection datasets that are used in the development of machine learning-based intrusion detection systems. The study presents an analysis of these datasets and provides recommendations for researchers utilizing them.
Platform and Hardware Independent Reliable Signal Processing
Authors: Arts Lukas P.A. , Paridaens Joren , Van Den Broek Egon L.
Published: June 2023

The recent explosion of sensors enable our environment to act in an intelligent way. These Intelligent Environments rely on sense making of the sensors’ data streams. This process starts with reliable signal processing in real-time. This is challenging due to i) the low energy and computing resources of edge devices, ii) the signals’ non-stationary nature, and iii) the variety in software and hardware. To tackle this triplet of challenges, we present a WebAssembly-based hardware and software independent fast Continuous Wavelet Transform (fCWT), which excels in processing non-stationary signals at low costs. The application shows to be 2x-5.5x faster than competitors on speech, electrocardiogram (ECG), and vibration signals, enabling reliable real-time processing on edge devices. This yields new opportunities for the creation of safe and reliable Intelligent Environments.
ALLEGET Keynote Remarks: Emerging Topics in Sentiment Analysis
Authors: Cambria Erik
Published: June 2023

Sentiment analysis has become an indispensable tool in various domains, including e-business, e-commerce, e-tourism, e-mobility, e-governance, e-security, e-learning, and e-health. By analyzing public opinion and preferences, organizations and policymakers can make data-driven decisions to improve their products, services, and policies. The implementation of sentiment analysis across these domains not only enhances customer satisfaction and engagement but also contributes to the overall growth and development of these industries.
A Knowledge Graph-Based Method for the Geolocation of Tweets
Authors: Lovera Fernando , Cardinale Yudith , Buscaldi Davide , Charnois Thierry
Published: June 2023

Twitter geolocation is useful for various purposes, including tracking COVID-19 perceptions, analyzing political trends, and managing natural disasters. However, accurately predicting geolocations based on tweet content remains a challenge. In the past, machine learning approaches have tried to solve this problem by training prediction models on previously seen data, but these models often struggle to generalize to unseen places. To overcome these limitations, in this work we present a framework based on Natural Language Processing (NLP), Knowledge Graphs (KG), and Semantic Web to find geographical entities on tweets’ content. KG facilitate the extraction of structured knowledge of texts in order to study their semantic analysis based on NLP techniques to search associated geographical coordinates to the entities of that KG; if there is explicit mention of places in the tweet, the Semantic Web is used to find geographical information associated with the entities present in the tweets’ content. To evaluate the precision of the prediction algorithm, we compare our predicted latitude and longitude coordinates with AlbertaT6 floods dataset. Our results show an F1 score up to 0.851 within a 10 kilometer radius.
Speech Emotion Recognition Using Deep Convolutional Neural Networks Improved by the Fast Continuous Wavelet Transform
Authors: Van Zwol Björn E. , Langezaal Mathijs A. , Arts Lukas P.A. , Gatt Albert , Van Den Broek Egon L.
Published: June 2023

The fast Continuous Wavelet Transform (fCWT) is used to improve Deep Convolutional Neural Networks (DCNN)’s Speech Emotion Recognition (SER). While being computationally efficient, the fCWT’s time-frequency analysis overcomes traditional methods’ resolution limitations (e.g., Short-Term Fourier Transform). fCWT-induced DCNNs are compared to state-of-the-art DCNN SER systems. Comparing different wavelet parameters, we also provide an empirical strategy for balancing temporal and spectral features in speech signals. We suggest that this strategy is of generic interest for non-stationary signal processing where large amounts of data are available. fCWT’s potential for improving SER accuracy in real-time applications is confirmed. In parallel, the variance in the cross-validation folds confirmed deep learning’s vulnerability on non-big data sets.
Comparison of Machine Learning Techniques to Determine Bee Hive Mite Infestation Level from Mobile Phone Digital Images
Authors: Futcher John , Choudhury Islam , Hunter Gordon
Published: June 2023

This paper describes the early phase of a framework being developed to identify infestation levels of pests and parasites of the Western Honey Bee. Image processing techniques and two classical machine learning algorithms have been used to examine close-up images of the material falling on a varroa board beneath the mesh floor of a bee hive and identify Varroa Destructor mites versus other debris to a high level of accuracy.
Applying Knowledge Distillation on Pre-Trained Model for Early Grapevine Detection
Authors: Hollard Lilian , Mohimont Lucas
Published: June 2023

The development of Artificial Intelligence has raised interesting opportunities for improved automation in smart agriculture. Smart viticulture is one of the domains that can benefit from Computer-vision tasks through field sustainability. Computer-vision solutions present additional constraints as the amount of data for good training convergence has to be complex enough to cover sufficient features from desired inputs. In this paper, we present a study to implement a grapevine detection improvement for early grapes detection and grape yield prediction whose interest in Champagne and wine companies is undeniable. Earlier yield predictions allow a better market assessment, the harvest work’s organization and help decision-making about plant management. Our goal is to carry estimations 5 to 6 weeks before the harvest. Furthermore, the grapevines growing condition and the large amount of data to process for yield estimation require an embedded device to acquire and compute deep learning inference. Thus, the grapes detection model has to be lightweight enough to run on an embedded device. These models were subsequently pre-trained on two different types of datasets and several layer depth of deep learning models to propose a pseudo-labelling Teacher-Student related Knowledge Distillation. Overall solutions proposed an improvement of 7.56%, 6.98, 8.279%, 7.934% and 13.63% for f1 score, precision, recall, mean average precision at 50 and mean average precision 50-95 respectively on BBCH77 phenological stage.
Deep Learning for Post-Harvest Grape Diseases Detection
Authors: Mohimont Lucas
Published: June 2023

Post-harvest fruit grading is a necessary step to avoid disease related loss in quality. This is relevant in the context of the Champagne industry where grapes can not be manipulated by machines to avoid crushing. Our team have been developing a computer vision based solution to automate this process. In this paper, our main contribution is the usage of a PSPnet segmentation model for real-time visible symptoms detection with a IoU score of 58%. The associated classification score reach 95%, which improved our previous work. We also study a MobileNet-V2 model’s ability to discriminate between different grape diseases in ideal condition.
Position Paper: LoRa Mesh Networks for Enabling Distributed Intelligence on Tiny IoT Nodes
Authors: Freitag Felix , Miquel Solé Joan , Meseguer Roc
Published: June 2023

LoRaWAN is a widely used solution in today’s Internet of Things (IoT) applications to connect remote sensor nodes to the Internet. At the same time, microcontroller-based sensor nodes with increased processing capacities are increasingly becoming smart nodes applied for performing machine learning tasks. We argue that LoRaWAN has important connectivity limitations to truly unleash the potential of these smart tiny nodes. We position to apply LoRa mesh networks as a communication substrate to enable novel networking capacities for the new scenario of distributed smart IoT nodes.
Social Aware Navigation Based on Proxemic Interaction for an Autonomous Wheelchair
Authors: Fernandes Giovane , Leite Anderson , Díaz-Amado José , Cardinale Yudith
Published: June 2023

Social robotics is an increasing area that has boosted the integration of robots and people in common environments. Thus, new human-robot interaction (HRI) techniques have emerged to make robots behave in acceptable and social ways. Proxemic interaction is one of these new techniques, that dictates the interaction between people and devices based on distance, which in turn defines proxemic zones. In this sense, robots must respect the proxemic zones of people around them, while navigating in the shared spaces. In this work, we propose a social aware navigation system based on proxemic that responds to voice commands integrated with a chatbot to define path planning for a wheelchair, in around a crowded environment. This social navigation system is integrated into GProxemic Navigation, a system that automatically provides the robot location and decides the proxemic zones of people that robots (an autonomous wheelchair, for this work) must not transverse during their navigation, according to the environment characteristics. With this implementation, the autonomous wheelchair can be driven to make the most efficient path respecting the social constraints of the environment
ADL Monitoring of Elderly People in Smart Homes Based on Task Models
Authors: Negrete Ramírez José Manuel , Martinie Célia , Palanque Philippe , Cardinale Yudith
Published: June 2023

Monitoring activities of daily living (ADL) is a frequent practice to determine the independence of elderly people in their homes instrumented with a set of sensors. To do so, the representation of ADL is an issue that must be addressed. In this paper, ADL representation based on task models is presented. To this extent, we propose an approach for task modelling of ADL by means of HAMSTERS-XL, an extensible task notation and tool allowing the design, visualisation, and simulation of task models. The proposed approach consists of several steps aiming to determine parameters, such as time and location, of both activities and sensors, as well as the events that need to be identified. To demonstrate the suitability of our approach, we present the description of two ADL performed by a resident within a smart home environment by employing the AGGIR grid variables, a tool adopted by the French government for determining the autonomy of an elderly individual. The obtained results are analyzed with the purpose of indicating the advantages of using ADL representation by means of task modeling.
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
Authors: Schoeffer Jakob , Jakubik Johannes , Voessing Michael , Kuehl Niklas , Satzger Gerhard
Published: June 2023

In AI-assisted decision-making, a central promise of putting a human in the loop is that they should be able to complement the AI system by adhering to its correct and overriding its mistaken recommendations. In practice, however, we often see that humans tend to over- or under-rely on AI recommendations, meaning that they either adhere to wrong or override correct recommendations. Such reliance behavior is detrimental to decision-making accuracy. In this work, we articulate and analyze the interdependence between reliance behavior and accuracy in AI-assisted decision-making, which has been largely neglected in prior work. We also propose a visual framework to make this interdependence more tangible. This framework helps us interpret and compare empirical findings, as well as obtain a nuanced understanding of the effects of interventions (e.g., explanations) in AI-assisted decision-making. Finally, we infer several interesting properties from the framework: (i) when humans under-rely on AI recommendations, there may be no possibility for them to complement the AI in terms of decision-making accuracy; (ii) when humans cannot discern correct and wrong AI recommendations, no such improvement can be expected either; (iii) interventions may lead to an increase in decision-making accuracy that is solely driven by an increase in humans’ adherence to AI recommendations, without any ability to discern correct and wrong. Our work emphasizes the importance of measuring and reporting both effects on accuracy and reliance behavior when empirically assessing interventions.
Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues
Authors: Chen Pei-Yu , Tielman Myrthe L. , Heylen Dirk K. J. , Jonker Catholijn M. , Van Riemsdijk M. Birna
Published: June 2023

For personal assistive technologies to effectively support users, they need a user model that records information about the user, such as their goals, values, and context. Knowledge-based techniques can model the relationships between these concepts, enabling the support agent to act in accordance with the user’s values. However, user models require updating over time to accommodate changes and continuously align with what the user deems important. In our work, we propose and investigate the use of human-agent alignment dialogues for establishing whether user model updates are needed and acquiring the necessary information for these updates. In this paper, we perform an exploratory qualitative focus group study in which we investigate participants’ opinions about written examples of alignment dialogues, as a foundation for their design. Transcripts were analyzed using thematic analysis. A main theme that emerged concerns the potential impact of agent utterances on the user’s feelings about themselves and about the agent.
Towards Explainable Automatic Knowledge Graph Construction with Human-in-the-Loop
Authors: Zhang Bohui , Meroño Peñuela Albert , Simperl Elena
Published: June 2023

Knowledge graphs are important in human-centered AI because of their ability to reduce the need for large labelled machine-learning datasets, facilitate transfer learning, and generate explanations. However, knowledge-graph construction has evolved into a complex, semi-automatic process that increasingly relies on opaque deep-learning models and vast collections of heterogeneous data sources to scale. The knowledge-graph lifecycle is not transparent, accountability is limited, and there are no accounts of, or indeed methods to determine, how fair a knowledge graph is in the downstream applications that use it. Knowledge graphs are thus at odds with AI regulation, for instance the EU’s upcoming AI Act, and with ongoing efforts elsewhere in AI to audit and debias data and algorithms. This paper reports on work in progress towards designing explainable (XAI) knowledge-graph construction pipelines with human-in-the-loop and discusses research topics in this space. These were grounded in a systematic literature review, in which we studied tasks in knowledge-graph construction that are often automated, as well as common methods to explain how they work and their outcomes. We identified three directions for future research: (i) tasks in knowledge-graph construction where manual input remains essential and where there may be opportunities for AI assistance; (ii) integrating XAI methods into established knowledge-engineering practices to improve stakeholder experience; as well as (iii) evaluating how effective explanations genuinely are in making knowledge-graph construction more trustworthy.
Ethical Preferences in the Digital World: The EXOSOUL Questionnaire
Authors: Alfieri Costanza , Donati Donatella , Gozzano Simone , Greco Lorenzo , Segala Marco
Published: June 2023

The aim of the paper is to discuss the motivation and the methodology used to construct a survey that aims to gather data on the moral preferences of users in an ever-growing digital world, in order to implement an exoskeleton software (i.e. EXOSOUL) that will be able to protect and support the users in such a world. Even if we are more interested in presenting and discussing the methodology adopted, in Section 5 we present the preliminary results of the survey. In our society there is a growing and constant interaction between human agents and artificial agents, such as algorithms, robots, platforms, and ICT systems in general. The spread of these technologies poses new ethical challenges beyond the existing ones. This is for two main reasons. First, the amount of interactions between human agents and artificial ones involves a number of ethical aspects that is overwhelming. Secondly, and most importantly, the progressive self-sufficiency and autonomy that increasingly sophisticated systems are acquiring seem to deprive human beings of one of their most defining ethical aspects: the impact of systems’ autonomy with respect to human decisions and actions. In line with this perspective, the EXOSOUL multidisciplinary project has the goal of creating a software exoskeleton that helps users to interact with artificial agents according to their ethical preferences. In this work, we aim to investigate how to collect human agent’s ethical preferences. In Section 1 we present the EXOSOUL projects and in Section 2 the motivation for this paper. Section 3 and 4 illustrate the new approach, while in Section 5 we provide the preliminary results. Section 6 concludes and presents the work to be done in the future. In Section 1 we present the EXOSOUL project and in Section 2 the motivation for this paper. Section 3 and 4 illustrate the new approach, while in Section 5 we provide the preliminary results. Section 6 concludes and presents the work to be done in the future.
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work
Authors: Chakravorti Tatiana , Fraleigh Robert , Fritton Timothy , McLaughlin Michael , Singh Vaibhav , Griffin Christopher , Kwasnica Anthony , Pennock David , Giles C. Lee , Rajtmajer Sarah
Published: June 2023

We present a prototype hybrid prediction market and demonstrate the avenue it represents for meaningful human-AI collaboration. We build on prior work proposing artificial prediction markets as a novel machine learning algorithm. In an artificial prediction market, trained AI agents (bot traders) buy and sell outcomes of future events. Classification decisions can be framed as outcomes of future events, and accordingly, the price of an asset corresponding to a given classification outcome can be taken as a proxy for the systems confidence in that decision. By embedding human participants in these markets alongside bot traders, we can bring together insights from both. In this paper, we detail pilot studies with prototype hybrid markets for the prediction of replication study outcomes. We highlight challenges and opportunities, share insights from semi-structured interviews with hybrid market participants, and outline a vision for ongoing and future work.
Egocentric Hierarchical Visual Semantics
Authors: Erculiani Luca , Bontempelli Andrea , Passerini Andrea , Giunchiglia Fausto
Published: June 2023

We are interested in aligning how people think about objects and what machines perceive, meaning by this the fact that object recognition, as performed by a machine, should follow a process which resembles that followed by humans when thinking of an object associated with a certain concept. The ultimate goal is to build systems which can meaningfully interact with their users, describing what they perceive in the users’ own terms. As from the field of Lexical Semantics, humans organize the meaning of words in hierarchies where the meaning of, e.g., a noun, is defined in terms of the meaning of a more general noun, its genus, and of one or more differentiating properties, its differentia. The main tenet of this paper is that object recognition should implement a hierarchical process which follows the hierarchical semantic structure used to define the meaning of words. We achieve this goal by implementing an algorithm which, for any object, recursively recognizes its visual genus and its visual differentia. In other words, the recognition of an object is decomposed in a sequence of steps where the locally relevant visual features are recognized. This paper presents the algorithm and a first evaluation.
Inferring Values via Hybrid Intelligence
Authors: Liscio Enrico , Lera-Leri Roger , Bistaffa Filippo , Dobbe Roel I. J. , Jonker Catholijn M. , Lopez-Sanchez Maite , Rodriguez-Aguilar Juan A. , Murukannaiah Pradeep K.
Published: June 2023

Values, such as freedom and safety, are the core motivations that guide us humans. A prerequisite for creating value-aligned multiagent systems that involve humans and artificial agents is value inference, the process of identifying values and reasoning about human value preferences. We introduce a framework that connects the value inference steps, and motivate why a hybrid intelligence approach is instrumental for its success. We also highlight the multidisciplinary research challenges that hybrid value inference entails.
Classification of Long COVID from General Practitioner Diagnosis Text
Authors: Kamalakkannan Abbish , Sezgin Gorkem , McLeod Adam , Pearce Christopher , Georgiou Andrew , Prgomet Mirela , Weeding Stephen
Published: June 2023

Major challenges exist in identifying Long COVID patients from diagnosis texts recorded by general practitioners. A classification framework is proposed that can be used to identify Long COVID patients given these unstructured diagnostic texts. This framework can be leveraged to provide a general understanding of the risk factors, management strategies, and outcomes associated with Long COVID in Australia.
Assessment of Health Issues and Online Working Ergonomics: A Case Study of the COVID-19 in Pakistan
Authors: Naveed Zaima , Ali Neha , Abdullah  , Muzammal Kamran , Ali Azhar , Abbas Zaghum
Published: June 2023

The current study aims to evaluate and compare human factors and ergonomics during the lockdown of COVID-19 in Pakistan. The current research was done by conducting online surveys, using Nordic Musculoskeletal Questionnaire, Jenkin’s Sleep scale, and the COVID-19 Phobia scale. Data analysis was performed statistically by employing Microsoft Excel and Statistical Package for the Social Sciences (SPSS). The sample size considered for the current study was of 421 respondents. The results revealed that various ergonomics and other health issues occurred causing depression, anxiety, insomnia, hypertension, and PTSD. The most affected body parts were the neck (58.42%), shoulders (58.25%), lower back (45.95%), upper back (35.27%), lower legs (19.98%), wrist/hands (19.61%), hips/thighs (18.42%), knees (13.48%), and ankles/feet (8.8%). It has been concluded that an ergonomically designed workstation, adequate illumination, and specific adjustment of the screen of the display screen gadgets with eye level may assist in the prevention of the observed problems. Thereby, this study suggests that exercising and ergonomics can help to control health problems, caused as an effect of the COVID-19 pandemic.
The Determining the Efficacy of Available Treatments and Containment Measures against SARS-CoV-2
Authors: Shahid Alizey , Yasmeen Humaira , Saba  , Asim Iram , Nameen Ariba , Khalid Ayesha , Ishtiaq Tehreem
Published: June 2023

Over the past 20 years, outbreaks related to coronavirus-associated diseases, such as MERS and SARS, have been threatening the whole world. The novel coronavirus emerged in Wuhan, China and belongs to the SARS family. It has been named “Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2)”. Keeping in view the history of pandemics faced by the world, it would be fair to say that each of them has been one of its kind, bringing an equal amount of distress and damage to the humanity. With the help of other countries, Pakistan has coped well with the pandemic. Measures taken by different countries included curfews imposed in Italy, Spain, Russia, and India, while the UK, Ireland, and China opted for a more passive approach. South Korea imposed strict self-isolation requirements across the country, whereas UAE suspended all ferry services from Iran. Vaccines authorized by FDA to treat COVID-19 include Pfizer manufactured by Biotech which has 95% efficiency, Moderna with 94% efficiency, and Johnson and Johnson which has an overall efficiency of 72% and 86% efficiency in case of severe infection. These stats are from the USA. Whereas, vaccines such as Sinopharm, Sinovac, CanSino-Bio, and Sputnik have been administered in Pakistan following their approval by the Drug Regulatory Authority of Pakistan (DRAP). This study aims to review the various aspects of the COVID-19 pandemic such as disease symptoms, the mode of action, a brief comparison of control measures taken by different countries, therapeutic trials to cure COVID-19, and the status of vaccines.
Editorial
Authors: Ahmad Haroon , Nadeem Muhammad Arif
Published: June 2023

The global epidemic of coronavirus disease 2019 (COVID-19) has presented a major threat to public health worldwide. The causal agent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [a member of Severe acute respiratory syndrome-related coronavirus] that was first isolated and identified in patients who were exposed at a seafood market in Wuhan City, Hubei Province, China on December 2019. The COVID-19 epidemic represents a substantial challenge for governments, individuals, and society as a whole.
Philosophy of cooperation: prerequisites for philosophical cultural diplomacy
Authors:   M.Kh. Dulati Taraz Regional University, Nuradin G.В. , Omirzakova D.D. ,   M.Kh. Dulati Taraz Regional University
Published: June 2023

People are always important only to people. Such practices as “communication”, “cooperation” have developed since mankind created society and are not new. The concept of “cultural diplomacy,” aimed at creating and maintaining peace and stability throughout the world through intercultural relations, forms the basis of a new science. While the new science considers new research, mechanisms and new ways, the proposed article examines a number of fundamental ways linking philosophy and cultural diplomacy. Such a step may be necessary for interdisciplinary reflection, research and practice. This is justified by the fact that philosophy is necessary to provide a theoretical vision of each science, while rational thinking seeks to clarify and determine the origin, causes, goals, characteristics, methods, scientific vocabulary, various areas of its specific part. Since philosophy is a worldwide science, the study of international exchange of experience can create an effective field of research.Cultural diplomacy is common to a number of fields of philosophy, such as “philosophy of culture”, “political philosophy” and “philosophical anthropology,” therefore, the field of research is open for development in terms of new philosophical considerations and many valuable ideas. The authors of the article believe that intercultural and internal relations can be strengthened and maintained through constant and continuous dialogue and exchange, which, in turn, helps to strengthen understanding and trust between peoples and communities, prevent misunderstandings, improve relations and cooperation, and reduce the likelihood of socio-cultural conflicts and disputes.
The problem of human self-improvement within the framework of psychoanalytic and socio-cultural theory
Authors:   Al-Farabi Kazakh National University, Serikbay G.Zh. , Kuranbek A.А. ,   Al-Farabi Kazakh National University
Published: June 2023

The article makes a deep analysis of the problem of human self-improvement within the framework of psychoanalytic and socio-cultural theory. The contradictory dynamics of public life in the twentieth century put forward the problem of human self-improvement, personal development strategies, and personal activity. For a person, his individuality and the definition of the path of maturity that leads to it are very important. According to the authors, such approaches are contained in psychonanalytic and socio-cultural strategies. To determine the development of personality within the framework of socio-cultural theory, a deep analysis of the concepts of cultural heritage, communicative rationality, freedom, responsibility is carried out. The importance of socio-cultural communication based on the problem of human self-improvement is studied.The social lifestyle of the Kazakh people imposed strict requirements on moral qualities and personal-value, socio-psychological, and ethnic positions. The originality of Zhyrau’s poetry is a direct orientation to the social environment. Putting such personality qualities as personality and honor above, he aimed at improving personality through adequate sociological practice. They formed their works in the form of philosophical reflections of a didactic nature, presented their thoughts about time, reflections on morality. They raised public and social issues, expressed their understanding of the changes and events taking place in life and their meaning. The article formulates the importance of philosophical, anthropological and social thought in the formation of self-improvement strategies reflected in zhyrau. It provides an analysis of philosophical and anthropological arguments in the poetry of zhyrau.
The Phenomenon of Power in the Church: an Investigation and Analysis of the Relational Dynamics Experienced in the Context of the Assertion of Authority
Authors:   ,   Andrews University, Walikonis Steven
Published: June 2023

Problem. There is a need for a greater understanding of the relationship that exists between the minister and the congregation. The quality of their relationship determines, to a great degree, the health of their church organization. As persons, ministers possess certain qualifications, abilities, and personality traits that enable them to lead. These comprise the minister’s bases of power. Leaders determine (often unknowingly) how their bases of power are used. Relational dynamics take place when the minister uses power and asserts authority. The purpose of this study is to determine whether or not a relationship exists between the minister’s power bases and congregational health. Method. A research survey was sent to 500 Seventh-day Adventist congregational leaders to rate their ministers according to five bases of power (Expert, Referent, Reward, Legitimate, and Coercive). The survey also asked the respondents to reflect on the health and morale of their congregations. Results. A comparison between the members’ ratings of their ministers’ power bases and the responses regarding the health of their congregations reveals that a correlation does exist between them. The results of this study indicate that pastoral power has the potential either to improve the church’s situation or to make it worse, and that it is statistically predictable. Conclusions. Ministers of churches and church administrators should become more sophisticated with respect to issues of leadership, power, and influence. Without the needed awareness and skills, leaders risk being overwhelmed by the pathological aspects of organizational structures that regularly reduce initiative, innovation, morale, and excellence in all levels of church life. With increased knowledge, it may become possible to make the world of congregational life more wholesome, and thus, more effective in fulfilling the Gospel Commission.
Restoring Fallen Pastors: a Study on Restoring and Reinstating Clergy Who Have Been Involved in Sexual Misconduct
Authors:   ,   Andrews University, Bissell David
Published: June 2023

Problem. Research among Evangelicals and Seventh-day Adventists shows that approximately 12 percent of pastors commit adultery while in the ministry. What happens to an Adventist pastor who commits adultery? The North American Division policies are straightforward. An adulterous pastor should lose his credentials and ordination, be disfellowshipped, and never be rehired by any church entity. However, administrative practices are not consistent with church guidelines. Often a fallen pastor is moved to another district without a lapse in the service record. Some are restored to ministry after having had a time out. This apparent discrepancy may be due to eroding standards or because the church has recognized the importance of grace and restoration. Method. The problem of sexual immorality in pastoral ranks is discussed, a brief history of how the Christian church has responded to this problem is presented, the complexity of the issue is addressed, sound biblical and Ellen White theology for restoration is presented, a survey of one hundred North American Division Adventist leaders was taken to see if the church may be ready for change; interviews with pastors who have committed adultery and been restored are recorded, and recommendations and suggestions for policy revisions and processes that would be more comprehensive and redemptive are introduced. Results. The Bible and the writings of Ellen White support the concept of restoring fallen pastors to ministry. About three-fourths of the leaders of the Seventh-day Adventist Church in North America who responded to the survey felt that present church policy is inadequate. Eighty-one percent believe that a more comprehensive policy that is redemptive might be implemented. The Pacific Union Conference, the Alberta Conference, and the NAD have prepared policy changes that could help resolve the inconsistencies between practices and policies. Conclusion. In light of evidence from the Bible and the writings of Ellen White for restoring fallen pastors, and in view of possible support from leaders in the North American Division, the church should move ahead to vote a comprehensive restoration policy that would include procedures for restoring fallen leaders, helping to heal their families, their victims, and the churches they have wounded.