Practical Tasks Research Articles

Errorless and errorful learning in people with aphasia across novel-object pairing and word retrieval tasks

ABSTRACT Background While linguistic deficits are key to diagnosing and treating aphasia, there is growing interest in the cognitive processes important for rehabilitation outcomes, particularly the role of learning. Of relevance to the current study, research has manipulated instructional methods (errorless vs. errorful) to assess their effects on outcomes. However, it is still unclear whether individualized profiles of errorless and errorful learning exist in aphasia and whether they might be meaningful for clinical practice. Aims The current study aimed to examine learning in people with aphasia, manipulating instruction method (errorless, errorful) and linguistic demands of learning. Methods & procedures Nine people with stroke-induced aphasia participated in this preliminary study. Participants engaged in errorless and errorful novel object pairing and word retrieval tasks. Learning outcomes were assessed on the same day, next day, and after one week. Participants also completed cognitive-linguistic assessments to investigate the contribution of memory, language, and executive functioning abilities on learning outcomes. Outcomes & results At the group level, participants performed significantly better following errorful training for novel object pairing (p = 0.001) relative to errorless training. An errorful advantage was observed at the individual level in 7 participants during same day testing, with the highest overall performers on the task showing the most persistent errorful learning benefits. In the word retrieval practice task, group and individual-level differences in scores following errorless and errorful practice were minimal. Scores in errorful novel object pair learning correlated with verbal short-term memory and nonverbal long-term memory assessments, while no other correlations were found between learning scores and cognitive-linguistic variables. Conclusions Findings are consistent with prior research that suggests that successful effortful retrieval may pose an advantage over errorless learning when acquiring novel information and the potential contributions of verbal short-term memory and nonverbal long term memory on learning. Results from the word retrieval practice task draw attention to differences between practicing lexical access and novel learning. The lack of an errorful advantage in word retrieval may alternatively be due to task design and merits further research. Results support the hypothesis that people with aphasia display variable learning profiles that may stem from differences in underlying cognitive-linguistic abilities. Continuing research is needed to characterize learning in aphasia to consider its potential influence on rehabilitation outcomes and support speech-language pathologists in considering and accounting for different learning and cognitive-linguistic abilities when individualizing treatment decisions.

Smartphone-assisted Language Training (SaLT) in Aphasia: Insights from the design and development of a multilingual smartphone application

Background Technology-based aphasia rehabilitation has witnessed steep growth over the past decades with the availability of several commercial apps. While such apps facilitate the intensity of rehabilitation, certain limitations including low multi-language capabilities and/or task-customization (for client-specific needs) result in lower uptake in multilingual countries like India. Aim We describe the development and pilot-testing of the Smartphone- assisted Language Training (SaLT) app – a new application for both mono- and multilingual people with aphasia that facilitates cross-lingual and cross-national sharing of intervention resources. Methods SaLT is a novel, clinician-prescribed, android-based therapy application for mono- and multilingual people with aphasia (SaLT-Home). It can be personalized and customized for individual clients through the clinician-operated web application (SaLT-SLP). Further, it permits asynchronous remote monitoring of therapy progress and sharing of therapy resources with other clinicians across the globe. We present details of the development and structure of the app. We also present pilot testing with four multilingual people with aphasia who undertook clinician-delivered therapy and SaLT-based home therapy. The clinician uploaded personalized tasks and training materials for practice into the SaLT app. Participants with aphasia and their caregivers were asked to practice tasks at home. The focus of this study was not on effectiveness but rather on usage and feasibility. We collected both quantitative and qualitative data regarding the use of the app. After the intervention, participants rated the user experience using the User Mobile Rating Scale. Outcomes & Results Three of the four participants with aphasia across two different languages were motivated to practice and used SaLT-Home. These participants were generally positive about the app. They provided useful insights regarding training in the use of app-delivered therapy, the transition to independent use of such apps and need for support during practice. Conclusions The SaLT application, with its customization and multi-language capabilities, hopes to redefine technology-based intervention in aphasia. Further, it provides the scope for collating and sharing therapy resources by clinicians around the world which could foster the rehabilitation of aphasia, globally. The data from pilot testing also provide insights into the prescription and use of mobile-based home therapy applications which is of general applicability to app-based therapy. The results of this study suggest that future exploration of the use of SaLT is warranted in experimentally controlled treatment studies.

Development of composition of fine-grained concrete based on ash-and-slag wastes for additive technology of manufacturing small architectural forms

Developing a fine-grained concrete composition for additive technologies is an important scientific and practical task, since traditional building mixtures are unsuitable for 3D printers, and special solutions are practically absent in mass production. This study aims to develop a composition of fine-grained concrete for additive technologies using local resources and ash and slag waste of the Ust-Kamenogorsk thermal power plant, which contributes to the expansion of the raw material base used in this area. The work was carried out taking into account the analysis of the literature review, which made it possible to identify key aspects and directions in the development of concrete mixtures for additive technologies. This article discusses the possibility of using ash and slag waste in concrete as a filler. Ash has a grain size comparable to river sand, so it can be used as a new material to replace fine filler. To obtain the mixture, 5 experimental mixtures and one reference sample were prepared. The optimal composition is considered to include 30% of M500 Portland cement, 40% of sand, and 30% of ash and slag. The physical and mechanical characteristics of this composition are as follows: the mobility of the mixture is 5.81 cm, and the setting completion time is 4 hours 19 minutes. The results of the sample tests confirmed that the created fine-grained concrete compositions are suitable for extrusion on construction 3D printers. The possibility of creating a composition based on local ash and slag waste for additive technologies used in producing small architectural forms was experimentally confirmed.

ФОРМУВАННЯ ІНФОРМАЦІЙНОЇ КУЛЬТУРИ НАУКОВИХ ДОСЛІДЖЕНЬ ЗДОБУВАЧІВ ВИЩОЇ ОСВІТИ

In the conditions of the information society, the modern education system must prepare conscious citizens of their country who are able to navigate in the information field, critically interpret what they hear, draw their own conclusions and seek answers to the questions posed. That is why higher education must contribute to the development of these skills and abilities. The purpose of the article is to find out the semantic meaning of the concept of “information culture” and to determine the methodology of its formation among students of higher education during scientific activity. During the writing of the article, general scientific methods of analysis and synthesis were used. The worldview and methodological principles of democratization, innovation, and flexibility of the educational process were also observed. The article defines the main approaches to understanding the essence of the concept of “information culture”. The importance of careful selection of information sources, the need for a critical understanding of the received information, and the importance of observing these principles in the course of scientific activity are emphasized. The obtained results of the research can be taken into account when planning training sessions, especially practical work. Conclusions. Thus, the concept of information culture has different definitions and is used for different fields of knowledge. The key feature of this concept is a critical attitude to the received information and its proper verification. The modern education system pays considerable attention to the formation of information culture, introducing special courses, including media education. Observance of information hygiene by students of higher education is an integral part of their educational process, especially during scientific activities. Completing a number of practical tasks for the development of critical thinking should contribute to the formation of the information culture of higher education graduates. Key words: information culture, information society, media education, critical thinking, scientific activity.

Possibilities of Predicting Methotrexate-associated Toxicity in Oncohematology Based on Molecular Genetic Testing Methods

The development of highly effective protocols for the treatment of acute lymphoblastic leukemia (ALL) and non-Hodgkin lymphomas (NHL) followed the path of escalation of doses of cytostatic agents and improvement of supportive care. Methotrexate (MTX), used in high doses (1000–5000 mg/m2), radically changed the results of treatment of ALL and NHL in children, increasing patient survival rates. The downside of the anti-tumor effect of MTX is its organ toxicity, and therefore the development of methods for predicting the development of toxic effects of MTX is an important scientific and practical task. In recent years, the genetic factors of the patient’s organism have been considered as one of the reasons for the individual variability of pharmacokinetic and pharmacodynamic parameters of MTX. Abnormal function of folate cycle enzymes, methotrexate transporter proteins, due to gene polymorphism, may affect the effectiveness and toxicity of the drug. This review summarizes and analyzes the known genetic polymorphisms involved in MTX metabolism. The possibilities of predicting toxicity, as well as the prospects for individualizing therapy, taking into account the results of pharmacogenetic testing, are presented.

Was Kant a Cosmopolitan Racist?

Abstract Contemporary debate on Kant’s practical philosophy has focused on racial claims appearing primarily in transcripts of students’ notes taken during his lectures. But was Kant – the champion of world citizenship – really a racist? It is certainly hard to defend him from the charge of racial prejudices. However, a universally exclusivist standard of rationality such as the one he promoted leads at worst to cultural imperialism. It is more doubtful whether this amounted also to a full racist theory, as this would have implied seeing some races as inherently incapable of full rationality. Kant’s biological theory of races – the investigation of race being a theoretical rather than practical task – did not serve such a racist purpose. This article argues that Kant was ultimately interested in scientific distinctions, assuming the point of view of a naturalist researcher (Naturforscher). Accordingly, he cannot be said to be a biological racist.

Methodology of a Comprehensive Approach to the Analysis, Structuring, and Aggregation of Data Based on the Requirements of Resource-Intensive Applications

The work presents a methodology for in-depth data description for resource-intensive applied tasks, particularly in the field of materials science. It consists of three basic stages. In the first stage, quantitative and semantic requirements are formalized, and working datasets are defined, which can be classified as reference, structured, instrumental, or experimental-computational, depending on the source. These datasets are stored in a specialized research area for further investigation. The second stage involves the analysis and hierarchical structuring of the accumulated information content. This allows for the refinement and comparison of data, storage of different sets, and the application of various processing tools. In the third stage, the data is aggregated and represented as objects in the domain area according to the database schema of the application support system. The steps outlined in the proposed methodology enable full utilization of the specialized research area of informational content for building object models of application scenarios, structuring the domain data representation schema, and forming event-information forms. The practical application of this methodology in the examined subject area clarified the requirements, criteria, and filters for information search, data description, parameter cataloging, and their verification when solving a number of practical tasks. The software implementation of this approach could be oriented towards a web platform for local and cloud technologies, allowing remote collaborative access to content requirements and solution catalogs with role-based access for different categories of researchers and users.

Контурні моделі середовища електронної книги в системі «JETIQ VNTU»

The article contains the results of the development of contour models for the e-book environment in the JetIQ VNTU information ecosystem. The authors continued the study of contour models of the educational electronic information environment, one of the elements of which is an electronic book. It is considered as a separate environment for independent and mixed learning, it forms an environment for studying specific topics and performing practical tasks. Such electronic textbooks or laboratory practices have built-in tests, allow the teacher to enter tasks, determine the time for completing tasks, and integrate the obtained grades into an electronic journal. The distribution of contours by type allows researchers to focus their attention on the development of each of the contours - functional, communication, managerial, motivational and emotional. The relationship between them also shows the impact on the level of quality of the educational electronic environment. In addition, it is important to develop a security circuit to preserve one's own knowledge base based on an e-book, to develop author's electronic educational materials.

Two linguistic levels of lexical ambiguity and a unified categorical representation

Lexical disambiguation is one of the oldest problems in natural language processing. There are three main types of lexical ambiguity: part-of-speech ambiguity, homonymy, and polysemy, typically divided into two tasks in practice. While this division suffices for engineering purposes, it does not align well with human intuition. In this article, I use lexical ambiguity as a representative case to demonstrate how insights from theoretical linguistics can be helpful for developing more human-like meaning and knowledge representations in natural language understanding. I revisit the three types of lexical ambiguity and propose a structured reclassification of them into two levels using the theoretical linguistic tool of root syntax. Recognizing the uneven expressive power of root syntax across these levels, I further translate the theoretical linguistic insights into the language of category theory, mainly using the tool of topos. The resulting unified categorical representation of lexical ambiguity preserves rootsyntactic insights, has strong expressive power at both linguistic levels, and can potentially serve as a bridge between theoretical linguistics and natural language understanding.

Tomography of a Spatially Resolved Single-Atom Detector in the Presence of Shot-to-Shot Number Fluctuations

The tomography of single-particle-resolved detectors is of primary importance for characterizing particle correlations, with applications in quantum metrology, quantum simulation, and quantum computing. However, it is a nontrivial task in practice due to the uncertainties on the statistics of the state impinging on the detector and to the unavoidable presence of noise that affects the measurement but does not originate from the detector. In this work, we address this problem for a three-dimensional single-atom-resolved detector where shot-to-shot atom-number fluctuations are a central issue in performing a quantum detector tomography. We overcome this difficulty by exploiting the parallel measurement of the counting statistics in subvolumes of the detector, from which we evaluate the effect of shot-to-shot fluctuations and perform a local tomography of the detector. In addition, we illustrate the validity of our method from applying it to Gaussian quantum states with different number statistics. Finally, we show that the response of microchannel plate detectors is well described by using a binomial distribution with the detection efficiency as a single parameter. Published by the American Physical Society 2024

OGC SO16 - International upper GI robotic fellowship on the CMR Versius platform

Abstract Background The impetus for UGI surgery trainees to attain skills in robotic surgery is likely to increase following the global acceptance and utilisation of robotic platforms. UGI robotic fellowship programs are few in number and highly desirable providing trainees with a unique selling point when embarking on independent consultant practice. We describe the first UGI robotic surgery fellowship on the CMR Versius platform at the Gloucestershire Royal Hospital which has the largest experience of UGI robotic surgery on the CMR Versius platform in the UK, having performed over 200 cases including the first robot assisted minimally invasive oesophagectomy. Method A structured robotic training curriculum was created in collaboration with CMR Versius. It consists of a pre-clinical phase of E-learning (10 modules), simulator training (16 assessed tasks) and dry-laboratory training (a two-day course encompassing robotic system set-up, bed-side assist and assessed dry lab practical tasks). The clinical phase begins with bed-side assisting of robotic cases followed by supervised operating on the console. Operations performed on the console are recorded for review and evaluation. The videos will be scored by two independent surgeons using the modified Global Evaluation Assessment of Robotic Skills (mGEARS) score to track growth and progress. Results The E-learning modules and assessments were completed prior to commencement of the fellowship. The remainder of the pre-clinical phase of the curriculum were completed within 4 weeks of commencement followed by bed-side assisting. Once competent at bed-side assisting and able to demonstrate proficiency in set-up (selecting port site placement, docking, arm spacing and configuration), supervised console training was commenced 6 weeks into the fellowship. Console training began with robotic assisted laparoscopic assisted cholecystectomy to gain familiarity, confidence, and efficiency. After 6 cases as the only console surgeon, the surgical complexity of cases was progressed to hiatal surgery and Heller’s cardiomyotomy Conclusion A structured training curriculum with defined phases provides a feasible and effective framework for robotic fellowship training. Adherence to the pre-clinical phase of training allows safe and efficient progression to hands-on console experience. This is achievable within relatively short timeframe to allow for ample independent console surgeon experience and the development of proficiency within a 12-month fellowship period.

Supporting Peer Feedback at Scale

Schneider et al. (2017) conducted a systematic review of 38 meta-analyses investigating 105 variables linked to student performance. They reported peer assessment is the most influential factor in explaining students’ achievement. The benefits are even more significant when combined with self-assessment as students' meta-cognitive capacity is exercised as they calibrate their level of understanding and confidence to that of their peers (Power & Tanner, 2023). Assessing a peer digitally has been shown to be more effective than in-person settings (Li et al., 2020). Winstone & Boud (2022) recommend improving students’ learning by focusing on providing and receiving high-quality feedback rather than on grades. Despite the potential of technology to help students assess each other, there is sparse research in commerce studies, let alone on large-scale subjects, where technology use is essential to leverage students’ learning and encourage interaction, which otherwise would be limited. Such a study can shed light on students' learning and engagement benefits. Technology can also aid in creating a structured learning environment, with students being required to complete multiple tasks throughout the semester and engage with the platform repetitively, reinforcing improved curriculum retention (Schwerter et al., 2022). Our project involved implementing five tasks (a practice task and four assessed tasks) in a large-cohort first-year finance subject at a leading Australian university. The tasks contributed 15% to each student’s final mark and utilised the Feedback Fruits platform (integrated with Canvas LMS). For each task, students scanned their handwritten answers to two questions, uploaded them into the platform as a PDF file, completed self-assessment and reviewed a randomly assigned anonymous peer using a rubric designed to mimic the rubric used to mark final exam questions. We configured the system so that students had at least one week to upload their answers and another week to complete the self-assessment and peer review. Statistical analysis of the Feedback Fruits analytics files, which include completion rates and performance, involved regression analysis and propensity score matching and indicates a significant positive relationship between platform engagement (measured by time spent on the platform, provided comments length and task performance) and final exam performance, even after controlling for a student’s finance aptitude. The study also involved an end-of-semester survey and focus groups to capture students’ perceptions. Students indicated the positive learning benefits they gained from reviewing their peers, being reviewed, and reflecting on their performance. Furthermore, we found a high correlation between the number of comments and the average number of words per comment students left themselves and those left for their peers. The innovation of our research is in the scale, continuous use of the platform throughout the semester with multiple access points per task and better exam preparedness by simulating exam conditions utilising rubrics and handwriting requirements. This poster describes the project’s implementation process map, including task setup, timelines, and the support provided, which is the technical part of the bigger project. We review fundamental mechanisms to improve participation and the quality of the reviews. In addition, the poster presents the challenges faced and offers practical steps to overcome them.

Modality Matters: Evidence for the Benefits of Speech-Based Adaptive Retrieval Practice in Learners with Dyslexia.

Retrieval practice-the process of actively calling information to mind rather than passively studying materials-has been proven to be a highly effective learning strategy. However, only recently, researchers have started to examine differences between learners in terms of the optimal conditions of retrieval practice in applied educational settings. In this study (N=118), we focus on learners with dyslexia. We compare their performance to the performance of typical learners in an adaptive retrieval practice task using both typing-based and speech-based response conditions. We find that typical learners outperform learners with dyslexia when they are asked to respond by typing, but that this difference disappears when learners respond by speech. Using a mathematical model to decompose response times, we demonstrate that this typing-specific disadvantage in learners with dyslexia is mainly a consequence of processing delays, rather than poorer memory performance. These findings contribute to a better understanding of the mechanisms underlying declarative learning in dyslexia, and they can be used to tailor educational technology toward the needs of neurodiverse learners.

ФОРМУВАННЯ КЛЮЧОВОЇ КОМПЕТЕНТНОСТІ «ПІДПРИЄМЛИВІСТЬ ТА ФІНАНСОВА ГРАМОТНІСТЬ» В ОСВІТНЬОМУ ПРОЦЕСІ З ГЕОГРАФІЇ

The article is devoted to the problem of forming the key competence “entrepreneurship and financial literacy” by means of the school geography course in basic school. The authors analyze the sequence of implementation of this key competence in the educational process and the transformation of the category wording in domestic legislative and regulatory documents. The importance of the theoretical discourse on the content of the concept of “entrepreneurial competence” and the consideration of studies of the phenomenon in the social, psychological, pedagogical and content aspects is emphasized. The authors substantiate that in order to form entrepreneurial competence and financial literacy, it is important to clarify the peculiarities of the structure of this competence and determine the characteristics of the structural components. Based on the achievements of domestic and foreign scholars, the author's vision of the structure of entrepreneurship and financial literacy competence is proposed; the motivational, personal, cognitive and activity components are distinguished. In view of the problem under study, the characteristics of each structural component in the context of the content of the school geography course are proposed. The article analyzes the potential of the content of geography curricula/model programs in basic school as a theoretical basis for the formation of the key competence “entrepreneurship and financial literacy”. Particular attention is paid to the courses of economic and social geography in the 9th grade. Emphasis is placed on the importance of ensuring the integration of geography and economics content in the educational process to promote understanding of economic processes, forming students' readiness for entrepreneurship, developing critical thinking, responsibility and initiative. The authors draw attention to the changes in the methodology of competency-based teaching of geography and the importance of introducing methods that will help motivate students to succeed, willingness to act at risk, the ability to solve actual problems using practical tasks and situations, the ability to build interpersonal relationships, and responsibility for the implementation of a common cause.

Changes of upper-limb kinematics during practice of a redundant motor task in patients with Parkinson’s disease

The ability to learn novel motor skills is essential for patients with Parkinson’s disease (PD) to regain activities of daily living. However, the underlying mechanisms of motor learning in PD remain unclear. To identify motor features that are distinctively manifested in PD during motor learning, we quantified a rich set of variables reflecting various aspects of the learning process in a virtual throwing task. While the performance outcome improved similarly over 3 days of practice for both PD patients and age-matched controls, further analysis revealed distinct learning processes between the two groups. PD patients initially performed with a slow release velocity and gradually increased it as practice progressed, whereas the control group began with an unnecessarily rapid release velocity, which they later stabilized at a lower value. Performance characteristics related to the timing of ball release and the inter-release interval did not show significant group differences, although they were modulated across practice in both groups. After one week, both groups retained the performance outcomes and underlying kinematics developed over practice. This study underscores the importance of analyzing the multi-faceted learning process to characterize motor skill learning in PD. The findings may provide insights into PD pathophysiology and inform rehabilitation strategies.

Needs Analysis for Designing English Course for Tourist Police in Mandalika Special Economic Zone

In the era of globalization and increasing international travel, effective communication in English has become a fundamental requirement for individuals working in various professional fields.The objectives of this research are to find out the authentic tasks and authentic texts that needed to be included in designing English for the tourist police in Mandalika Special Economic Zone (Mandalika SEZ), and to know how the design of the English course for tourist police in Mandalika Special Economic Zone (Mandalika SEZ) to improve language skills in their workplace. The subjects of the study are five tourist police officers who are fluent in English from 15 Tourist Police officers who work in the Mandalika Economic Zone. The techniques used to collect the data are observation, interview, questionnaire, and focus group discussion. The data analysis technique follows Miles and Huberman’s model (reduction, data display, conclusion drawing/verification, and syllabus design). The syllabus encompasses a total of seven key authentic tasks tailored to enhance the officers' communication and operational capabilities in various scenarios. These tasks include: Communicating During Emergencies, Giving Directions, Conducting Safety Checks, Conflict Resolution, Writing Reports, and Providing Assistance. In conclusion, the English syllabus for tourist police officers in Mandalika SEZ is carefully crafted to meet their needs through practical tasks, relevant materials, and effective assessment methods. This design enhances both language skills and real-life problem-solving abilities, serving as a valuable model for future training and improving the overall service quality and efficiency of the officers.

The performance of AI in medical examinations: an exploration of ChatGPT in ultrasound medical education.

This study aims to evaluate the accuracy of ChatGPT in the context of China's Intermediate Professional Technical Qualification Examination for Ultrasound Medicine, exploring its potential role in ultrasound medical education. A total of 100 questions, comprising 70 single-choice and 30 multiple-choice questions, were selected from the examination's question bank. These questions were categorized into four groups: basic knowledge, relevant clinical knowledge, professional knowledge, and professional practice. ChatGPT versions 3.5 and 4.0 were tested, and accuracy was measured based on the proportion of correct answers for each version. ChatGPT 3.5 achieved an accuracy of 35.7% for single-choice and 30.0% for multiple-choice questions, while version 4.0 improved to 61.4 and 50.0%, respectively. Both versions performed better in basic knowledge questions but showed limitations in professional practice-related questions. Version 4.0 demonstrated significant improvements across all categories compared to version 3.5, but it still underperformed when compared to resident doctors in certain areas. While ChatGPT did not meet the passing criteria for the Intermediate Professional Technical Qualification Examination in Ultrasound Medicine, its strong performance in basic medical knowledge suggests potential as a supplementary tool in medical education. However, its limitations in addressing professional practice tasks need to be addressed.

Oculomotor functional connectivity associated with motor sequence learning.

Acquisition of learned motor sequences involves saccades directed toward the goal to gather visual information prior to reaching. While goal-directed actions involve both eye and hand movements, therole of brain areas controlling saccades during motor sequence learning is still unclear. This study aimed to determine whether resting-state functional connectivity of oculomotor regions is associated with behavioral changes resulting from motor sequence learning. We investigated connectivity between oculomotor control regions and candidate regions involved in oculomotor control and motor sequence learning. Twenty adults had brain scans before 3 days of motor task practice and after a 24-hour retention test, which was used to assess sequence-specific learning. During testing, both saccades and reaches were tracked. Stronger connectivity in multiple oculomotor regions prior to motor task practice correlated with greater sequence-specific learning for both saccades and reaches. A more negative connectivity change involving oculomotor regions from pre- to post-training correlated with greater sequence-specific learning for both saccades and reaches. Overall, oculomotor functional connectivity was associated with themagnitude of behavioral change resulting from motor sequence learning, providing insight into thefunction of the oculomotor system during motor sequence learning.

Knowledge-oriented management systems for complex objects

The article examines the issue of improving the efficiency of complex systems management through the use of knowledge-based methods and technologies. The article emphasizes the need to revise traditional approaches to scientific research and knowledge management by introducing a transdisciplinary paradigm and artificial intelligence to achieve sustainable development and knowledge evolution. The authors try to solve the problem of management in the face of uncertainty and incomplete information, which is typical for such systems. The methods of integrating knowledge from different fields to create an integrated management system are considered. The basis of management is the holarchic structure, which organizes the system in the form of a hierarchy of holons. Each holon has a specific role and knowledge, which ensures the flexibility and adaptability of the system. The study also uses self-organization and learning methods to ensure continuous improvement of the systemʼs functioning. The article discusses the requirements for knowledge-based management systems, such as flexibility, adaptability, data and knowledge integration, learning and self-organization, transparency of decisions, and resilience to errors and failures. The findings of the study emphasize the importance of implementing knowledge-based approaches in the management system of complex facilities. This allows to increase the level of adaptability and stability of management, which is critical in todayʼs environment of dynamic development of technology and knowledge. The proposed methods can be applied in various fields, which makes them universal and useful for a wide range of scientific and practical tasks, providing a high level of adaptability, efficiency and stability of complex objects management, taking into account modern requirements and challenges.

Exploring nonlocal correlations in arbitrarily high-dimensional systems

Abstract The utilization of higher-dimensional systems holds promise for unveiling novel phenomena and enhancing the efficacy of practical tasks, such as entanglement-based quantum cryptography. However, detecting quantum correlations within qudit systems poses a formidable challenge. In this study, we delve into the intricacies of Bell’s nonlocality within higher-dimensional systems. We introduce a novel correlation function and leverage it to construct a family of Bell inequalities adapted for quantum systems of arbitrary dimensionality. By gauging the probability of local realism violation under random measurements as our primary metric, we explore the relation between pure state entanglement and nonlocality. Our findings align closely with predictions derived from the comprehensive polytope analysis via linear programming methods. While our focus predominantly centers on the two-qudit scenario, our methodology readily extends to the N -partite case, accommodating an arbitrary number of measurements per party.