Conditions Of Uncertainty Research Articles

The social forming of professionals’ adaptive performance: a sensemaking perspective

ABSTRACT Adaptive performance of professionals describes task achievement under conditions of novelty or uncertainty. Research shows that this type of performance can be trained, and that social interaction often plays an important role in it. This study sought to clarify that role, by posing the research question of how social interaction shapes professionals’ sensemaking in adaptive performance. Our conceptual model integrates two concepts from organisational studies, sensedemanding and sensebreaking, with the Data/Frame Model of Sensemaking from cognitive psychology. To test this model empirically, we carried out an explorative, qualitative study. Data collection took place by means of interviews and field observation at an intensive care unit of a Dutch hospital. The analysis revealed that sensedemanding and sensebreaking facilitate sensemaking of professionals by, enabling ‘switches’ between sensemaking cycles crucial for adaptive performance. Based on our findings, we propose that the integration of sensedemanding and sensebreaking in the D/F Model of Sensemaking contributes to our understanding of socio-cognitive mechanisms shaping (the development of) professionals’ adaptive performance.

Institutional Trading and Managers' Complex Disclosure: Evidence From Conference Calls

ABSTRACTThis study investigates the impact of managerial linguistic disclosures on institutional trading behaviors during earnings conference calls from 2006 to 2016. Utilizing the linguistic Fog decomposition methodology on textual analysis, it analyzes how the linguistic complexity of managerial communication influences institutional ownership changes. Findings indicate that both obfuscation and informativeness of managerial discourse significantly affect institutional trading, with effects varying based on the informativeness of post‐call analyst reports. This impact is more pronounced under conditions of earnings quality uncertainty, suggesting a heightened reliance on managerial cues by institutional investors during such periods. Additionally, the study differentiates responses among investor types: transient investors are more sensitive to linguistic cues, while dedicated and quasi‐indexer investors focus on the informational content of disclosures. These insights enhance understanding of how managerial communication and analyst report informativeness shape institutional trading behaviors through linguistic complexity's influence on institutional ownership.

Observational entropy with general quantum priors

Observational entropy captures both the intrinsic uncertainty of a thermodynamic state and the lack of knowledge due to coarse-graining. We demonstrate two interpretations of observational entropy, one as the statistical deficiency resulting from a measurement, the other as the difficulty of inferring the input state from the measurement statistics by quantum Bayesian retrodiction. These interpretations show that the observational entropy implicitly includes a uniform reference prior. Since the uniform prior cannot be used when the system is infinite-dimensional or otherwise energy-constrained, we propose generalizations by replacing the uniform prior with arbitrary quantum states that may not even commute with the state of the system. We propose three candidates for this generalization, discuss their properties, and show that one of them gives a unified expression that relates both interpretations.

Advanced Computational Intelligence Techniques for Real-Time Decision-Making in Autonomous Systems

This research explores advanced computational intelligence techniques aimed at enhancing real-time decision-making in autonomous systems. The increasing reliance on autonomous technologies across sectors such as transportation, healthcare, and industrial automation demands robust, adaptive, and reliable decision-making frameworks. This study introduces a novel hybrid model that integrates Reinforcement Learning (RL), Deep Neural Networks (DNN), and Fuzzy Logic to enable autonomous systems to make accurate and timely decisions in complex, dynamic environments. The proposed framework leverages RL for adaptive decision-making, DNNs for pattern recognition and prediction, and Fuzzy Logic for handling uncertainty in system states. Experimental evaluations were conducted using high-fidelity simulations across three scenarios: autonomous vehicle navigation, real-time patient monitoring in healthcare, and robotic process automation. Results indicate a 25% improvement in decision accuracy, a 30% reduction in response time, and enhanced robustness against environmental variability compared to conventional decision-making methods. The findings underscore the effectiveness of computational intelligence in supporting critical decisions in real-time, marking a significant step toward more capable and reliable autonomous systems.

Addressing Uncertainty in Renewable Energy Integration for Western Australia’s Mining Sector: A Robust Optimization Approach

The mining industry is a key contributor to Western Australia’s economy, with over 130 mining operations that produce critical minerals such as iron ore, gold, and lithium. Ensuring a reliable and continuous energy supply is vital for these operations. This paper addresses the challenges and opportunities of integrating renewable energy sources into isolated power systems, particularly under uncertainties associated with renewable energy generation and demand. A robust optimization approach is developed to model a multi-source hybrid energy system that considers risk-averse, risk-neutral, and risk-seeking strategies. These strategies address power demand and renewable energy supply uncertainties, ensuring system reliability under various risk scenarios. The optimization framework, formulated as a mixed integer linear programming problem and implemented in Python using the Gurobi Optimizer, integrates renewable energy sources such as wind turbines, photovoltaic arrays, and demand response programs alongside traditional diesel generators, boilers, combined heat and power units, and water desalination. The model ensures reliable access to electricity, heat, and water while minimizing operational costs and reducing reliance on fossil fuels. A comprehensive sensitivity analysis further examines the impact of uncertainty margins and the value of a lost load on the total system cost, providing insights into how different risk strategies affect system performance and cost-efficiency. The results are validated through three case studies demonstrating the effectiveness of the proposed approach in enhancing the resilience and sustainability of isolated power systems in the mining sector. Significant improvements in reliability, scalability, and economic performance are observed, with the sensitivity analysis highlighting the critical trade-offs between cost and reliability under varying uncertainty conditions.

MANAGEMENT OF THE FINANCIAL FLOWS OF LOGISTICS SYSTEMS

In the context of globalization and integration of the world economy, the main task of every business entity is to ensure financial stability and security of its operations. The logistics industry is no exception. In such a context, there is a necessity of fundamentally new approaches to the development of an effective system for managing financial flows of logistics systems. The insufficiency of the theoretical and practical study of the problems of managing financial flows of logistics systems, the difficult current economic conditions of management, outlined by the impact of the financial crisis and economic instability, the necessity to manage and control the level of financial stability of logistics enterprises in order to prevent bankruptcy, are the key reasons for the relevance of the study. In article considers issues of management of financial flows of logistics systems. The analysis of management processes in the system of financial activity of the logistics industry has been conducted. It is noted that the relevant aspects of managing the financial flows of logistics systems should include measures to improve the efficiency of using borrowed capital and investment resources. The study theoretically substantiates and solves a set of issues related to the development of an effective concept for managing financial flows of logistics systems under conditions of uncertainty. The analysis of the status and trends in the development of the logistics sector, as well as topical aspects of financial management of logistics enterprises, has allowed to develop a set of measures to improve the system of management of financial flows of logistics systems, which should be implemented on the principles of financial management. The concept of management of financial flows of logistics systems is proposed. A scheme for ensuring the financial security of logistics systems has been developed. The key principles of management of financial flows of logistics systems under conditions of uncertainty are determined. The study made it possible to state that the conceptual approach to managing the financial flows of logistics systems will help to prevent the crisis, increase the efficiency of activities and the successful development of the industry as a whole.

ESTIMATION OF THE CLEANING TIME OF THE BOTTOM-HOLE ZONE OF WELLS IN CONDITIONS OF UNCERTAINTY

The aim of the work is to analyze changes in the maximum optimal flow rates of wells operating various groups of productive formations of the Volga-Ural oil and gas province under conditions of uncertainty of geological and field data. The relevance of the work is due to the deterioration of the structure of residual oil reserves and the need for the most efficient extraction of liquid hydrocarbon resources, optimization of design methods for various treatments of the bottomhole formation zone. Using geological and statistical modeling systems, the timing of cleaning the bottomhole zones of wells from drilling products was determined at the time they reached their maximum optimal flow rate in conditions of deposits confined to various stratigraphic horizons, and appropriate models of changes in productivity coefficients were constructed. The factors influencing the recovery time of the real properties of the reservoir at the point of opening it by the well, which, among other things, determines the profitability of the process of selecting residual oil reserves, have been established. Among them, the most relevant and necessary for the implementation of an integrated approach to computer support procedures for the development of oil fields are the productivity of wells, fracturing of formations, their proximity to a particular tectonic-stratigraphic complex, geological, physical and physico-chemical properties of formations and their saturating fluids. For the deposits of the Famensk tier of deposits of the Volga-Ural oil and gas province, a multiple decrease in the time of removal of reaction products after hydrochloric acid exposure at objects with low fracturing has been established. At the same time, additional processing of the bottomhole formation zone within areas with high drilling density does not affect the total cleaning time of the bottomhole zone of wells. Stimulation of the removal of drilling mud filtrate and additional products of formation reactions by injection of hydrochloric acid compositions under certain conditions can lead to a decrease in the actual productivity of wells due to the introduction of less developed and dead-end cracks into the drainage process. The existence of the specifics of the procedure for cleaning the bottomhole formation zone depending on the geological and physical parameters of productive formations is substantiated and various patterns of changes in the productivity coefficient depending on the time of wells reaching the maximum optimal flow rate are revealed. The results obtained make it possible to make informed technological decisions to improve the efficiency of oil production, including in conditions of uncertainty, which may be caused by the lack of the necessary volume of hydrodynamic studies of wells.

Two-Stage Robust Optimization for Multiple Microgrids with Varying Loads under Uncertainty Conditions

Two-Stage Robust Optimization for Multiple Microgrids with Varying Loads under Uncertainty Conditions

Challenges, coping strategies, and sources of support available to South African parents with children with autism spectrum disorder during the COVID-19 lockdown: a qualitative study

Parenting a child with autism spectrum disorder (ASD) is known to be complex and challenging and likely to be exacerbated under conditions of stress and uncertainty. We aimed to explore how parents experienced parenting their child with ASD during the initial COVID-19 lockdown in 2020. We also aimed to identify the coping strategies and sources of support available to them during this time. Using an exploratory qualitative design within an interpretivist paradigm, we interviewed 23 parents of children with ASD between the ages of 6 and 12 years. Parents were recruited from an online support group for ASD in South Africa. Interviews were semi-structured and transcribed verbatim for thematic analysis, using ATLAS.ti. We identified five themes: (1) The experience of communicating lockdown rules and disease containment measures to children, (2) Consequences of disruption to routine, (3) Parenting and interpersonal relationships in conditions of confinement, (4) Help-seeking and sources of support, and (5) Finding ways to cope amid a crisis. The findings demonstrate that the initial COVID-19 lockdown placed parents of children with ASD under considerable stress. Disrupted routines and interrupted access to financial, psychological, social, and educational support during the initial lockdown period exacerbated parenting experiences. This study highlights the importance of providing parents of children with ASD strategies to communicate significant change and various forms of support to navigate the negative effects of routine disruptions during conditions of uncertainty and crisis.

A Compositional Approach to the Simulation of Queuing Systems with Random Parameters

A general approach to modeling random service processes under conditions of disturbances and uncertainty of the initial data is substantiated. A compositional approach to constructing simulation models of queuing with parametric uncertainty based on phase-type distributions and phase functions is proposed. The calculation and comparison of the characteristics of the developed simulation models with analytical solutions were carried out to confirm their effectiveness and accuracy. The problems of uncertainty of the initial data and their impact on the modeling of service systems are highlighted. The importance of taking into account parametric uncertainty in simulation models is emphasized in order to increase their adequacy and applicability in practice. The study includes a description of a general approach to modeling random service processes with uncertainty, as well as methodological foundations for the application of phase distributions and functions in compositional modeling. Four classes of service models are considered, differing in the type of integral core and phase function, which makes it possible to implement a variety of random service processes, taking into account their characteristics and conditions of their occurrence. The analysis of a model with an exponential integral core and various types of phase functions is carried out, which demonstrates the flexibility and wide possibilities of the proposed compositional approach to the study and modeling of service systems. The results of simulation modeling are presented, confirming analytical studies and showing the applicability and effectiveness of the developed approach in the construction and analysis of models of service systems with random parameters. The practical significance of the compositional method for the design and modernization of information and computing systems at various stages of their development, taking into account the uncertainty of the initial data, is noted. The work is focused on the development of simulation methods for queuing systems and opens up new prospects for their research and optimization in conditions of uncertainty of initial parameters.

ОСОБЛИВОСТІ ВНУТРІШНЬОГО КОНТРОЛЮ РОЗРАХУНКІВ ПІДПРИЄМСТВА В УМОВАХ ВОЄННОГО СТАНУ

Introduction. In the conditions of martial law, enterprises face new challenges that affect all areas of their economic activity, including settlement operations. Internal control of settlements becomes critical for ensuring financial stability and supporting operational activities. This requires a study of the specifics of the organization of internal control of the company's calculations during the state of war, in particular the issue of ensuring the security of financial operations in conditions of instability and market uncertainty. The purpose of the article. The purpose of the study is to investigate the features and effective mechanisms of internal control of payments at enterprises operating under martial law to ensure their financial stability and competitiveness. Methods. The research methodology includes a comprehensive approach that combines general scientific methods: analysis, synthesis, comparison, as well as specific financial and economic methods of evaluating the internal control system, including methods of risk analysis and auditing of financial operations. Results. The article examines the main principles of ensuring effective internal control of the calculations of economic entities in the conditions of martial law. It was found that failures in the work of banking systems, interruptions in communications and logistics significantly complicate the timely execution of financial transactions. The need to strengthen control over payment discipline on the part of both the enterprise and its counterparties has been identified. The necessity of implementing additional measures to protect the payment system, including increased attention to the verification of counterparties and the use of digital monitoring tools, has been proven. The growing need for rapid adaptation of internal control procedures to new conditions, such as changes in legislation introduced in connection with military operations, or new requirements for financial reporting, which requires the involvement of qualified personnel capable of promptly responding to new challenges and risks, has been studied. Conclusions. It has been proven that the internal control of the company's calculations in the conditions of martial law is an important element of maintaining stable operations and financial security. Therefore, to ensure its effectiveness, it is necessary to constantly update control methods, take into account new risks and challenges associated with war, and implement modern monitoring tools on the basis.

Robust proximity rendezvous and coordinated control of space robots

This paper investigates the robust proximity rendezvous and coordinated control of space robots. A robust rendezvous controller is meticulously devised to guarantee the H∞ performance of space rendezvous mission by addressing the Hamilton–Jacobi–Isaacs inequality. Additionally, a virtual control system is formulated to guarantee that the robust control inputs adhere to saturation constraints. Furthermore, this study introduces a novel fixed-time convergence constraint function aimed at constraining coordinated tracking missions for end-effector. The proposed coordinated controller ensures the achievement of end-effector pose tracking within a predetermined fixed time, while concurrently stabilizing the base attitude and bounding the transient responses of tracking errors within user-defined ranges. Notably, all these accomplishments are demonstrated under conditions of parameter uncertainty and input disturbance. Simulation results validate the effectiveness of the proposed control scheme.

Recognition and classification of noise signals by dolphins under conditions of noise interference and spatial uncertainty of their simultaneous presentation

The ability of dolphin`s auditory system to recognize and classify noise signals according to certain invariant features under the influence of noise interference and spatial uncertainty of their simultaneous presentation was studied. The bottlenose dolphins trained to differentiate such signals had to solve this problem under conditions simulating real marine ones, when the perception of a useful signal occurs against the background of similar signals and noise interference. First, the noise signals were sequentially presented to the animal against the background of white masking noise. Further the dolphin had to identify a signal of a positive class from several simultaneously sounding sound sources. The efficiency of the animal was evaluated at several given levels of noise interference. In this case, the actual noise interference was both white noise and simultaneously sounding negative signals. It`s shown that the efficiency and noise immunity of dolphin`s auditory system depend on the degree of alternativeness of the spatial uncertainty of the simultaneous presentation of signals.

Vietnam’s hedging amid U.S.-China Mekong rivalry: risk management under uncertainties

This paper examines how Vietnam has navigated U.S.-China rivalry in the Mekong basin while seeking to ensure its security, prosperity, and autonomy. I use the theoretical lens of hedging, defined as an insurance-maximising behaviour under conditions of high uncertainty. While existing scholarship has extensively examined Vietnam’s hedging on maritime security issues and the broader U.S.-China strategic and economic competition, this paper makes an empirical contribution by focusing on the relatively understudied angle of hedging in the Mekong basin context. I argue that Vietnam has hedged by (1) diversifying its Mekong partnerships with both the United States and China and (2) selectively cooperating with China under the Lancang-Mekong Cooperation. These acts aim to minimise Vietnam’s exposure to the long-term consequences of several non-traditional security risks, namely ecological challenges, water insecurity, economic vulnerabilities, and energy insecurity. Vietnam’s Mekong hedging also insures against the traditional security risks of big-power entrapment and military aggression as U.S.-China competition intensifies.

A Neuroadaptive Position-Sensorless Robust Control for Permanent Magnet Synchronous Motor Drive System with Uncertain Disturbance

The Permanent Magnet Synchronous Motor (PMSM) drive system is extensively utilized in high-precision positioning applications that demand superior dynamic performance across various operating conditions. Given the non-linear characteristics of the PMSM, a neuroadaptive sensorless controller based on B-spline neural networks is proposed to determine the control signals necessary for achieving the desired performance. The proposed control technique considers the system’s non-linearities and can be adapted to varying operating conditions, all while maintaining a low computational cost suitable for real-time operation. The introduced neuroadaptive controller is evaluated under conditions of uncertainty, and its performance is compared to that of a conventional PI controller optimized using the Whale Optimization Algorithm (WOA). The results demonstrate the viability of the proposed approach.

Technocratic reason in hard times: the mobilisation of economic knowledge and the discursive politics of Brexit

ABSTRACT In the context of the debate surrounding and following the Brexit referendum in June 2016, credentialed economic expertise did not enjoy a privileged position within the political and policy debate. Using the contrasting cases of the Office for Budget Responsibility and Economists for Brexit/Free Trade, this paper explores the mobilisation of economic expertise within the discursive politics of Brexit under conditions of pervasive radical uncertainty. It argues that politicisation is an important factor in side-lining technocratic influence over policy choice, but that the particular type of politicisation in play (plebiscitary) meant that the input of technocratic experts was downgraded. It is a politics conducted in another register to the reasoned, evidence-based vernacular of accredited experts and the policy discourses that they work with and through. We also argue that the basic unknowability of the post-Brexit economy further impaired expert input. These limitations were acknowledged by accredited experts themselves, reducing their traction within the policy debate. This unknowability was exploited by forms of counter-expertise mobilised by the Leave campaign. The radical uncertainties of Brexit allowed in heterodox assumptions and approaches to compete on a level playing field with an approximation of what could be presented as prudent best practice.

Manifestations of emotional burnout in rehabilitation centers staff

Introduction. High emotional intensity of professional activities of rehabilitation centers staff, the need to constantly respond to unexpected non-standard pedagogical situations, the requirements for empathy and reflection in conditions of uncertainty, etc. determine the development of emotional burnout. Consequently, an employee suffering from emotional burnout cannot fulfill professional duties efficiently and solve tasks set by the organization. In this regard, it is necessary to understand the emotional sphere manifestations in employees of rehabilitation centers and organize appropriate preventive work. The purpose of this article is to summarize the data on studying the emotional peculiarities, to identify the manifestations of emotional burnout in rehabilitation centers employees. Materials and Methods. The methodological basis of the research includes studying the content of the phenomenon of emotional burnout with the focus on personal and professional self-fulfillment. In order to solve the research tasks the authors used analysis and generalization as theoretical methods and empirical methods, including testing, conversation, and methods of quantitative and qualitative data analysis. The sample consisted of 124 employees of rehabilitation centers in the Krasnodar Territory. Results. The article presents a theoretical overview and summarizes the results of studying the emotional sphere of rehabilitation centers employees. The study reveals the manifestations of emotional burnout, clarifies essential aspects of emotional disorders prevention. Conclusions. Emotional exhaustion, stress resistance disorders, tension, etc. are revealed as basic manifestations of emotional burnout in the research sample. The article concludes that prevention should be comprehensive and take into account the identified characteristics of emotional disorders.

The development of a method for increasing the reliability of the assessment of the state of the object

The object of the research is assessment of object with different degrees of embeddedness. The subject of the research is the process of assessing the state of objects using the apparatus of neuro-fuzzy expert systems, the apparatus of relational analysis and bio-inspired algorithms. The problem that is solved in the research is to increase the reliability of the assessment of the objects state, regardless of the number of attachments. The originality of the research is that: – possibility of increasing the reliability of the object state assessment due to the parallel use of two bio-inspired algorithms; – taking into account the degree of awareness of the object state, due to the application of correction coefficients for the degree of awareness; – construction of both object and relational models, which allows to increase the reliability of assessment of the objects state; – possibility of combining the results of the work of bio-inspired algorithms, which makes it possible to mutually verify the correctness of the work of each of the algorithms; – universality of solving the task of assessing the state of objects with different degrees due to the hierarchical nature of their description; – possibility of simultaneously searching for a solution in different directions; – adequacy of the obtained results. An example of the use of the proposed method is presented on the example of solving the task of determining the composition of an operational group of troops (forces) and elements of its operational construction. The specified example showed an increase in the reliability of the assessment of the objects state by an average of 20 % due to the use of additional improved procedures. It is advisable to use the proposed method to solve the problems of assessing the state of multidimensional objects in conditions of uncertainty and risks, which are characterized by high requirements for the reliability of the information obtained

Safety in Teletriage by Nurses and Physicians in the US and Israel - a Tale of 2 Systems

Abstract Background The safety of telemedicine in general and telephone triage (teletriage), in particular, have been a focus of concern since the 1970s. Inadequate telehealth systems may compromise patient safety. Objectives Our aim was to explore ways that developed teletriage systems produce safe outcomes by examining key system components and questioning long-held assumptions. Methods We examined safety by performing a narrative review of the literature using key terms concerning patient safety in teletriage. In addition, we conducted system analysis of 2 typical formal systems, physician led and nurse led, in Israel and the United States, respectively, and evaluated those systems’ respective approaches to safety. Additionally, we conducted in-depth interviews with representative physicians and 1 nurse using a qualitative approach. Results The review of literature indicated that research on various aspects of telehealth and teletriage safety is still sparse and of variable quality, producing conflicting and inconsistent results. The interviews with health care professionals demonstrated several challenges encountered during teletriage, mainly making diagnosis from a distance, treating unfamiliar patients, a stressful atmosphere, working alone, and technological difficulties. However, they reported using several measures that help them make accurate diagnoses and reasonable decisions, thus keeping patient safety, such as using their expertise and intuition, using structured protocols, and considering non-medical factors and patient preferences (Shared Decision-Making). Conclusions Remote encounters about acute, worrisome symptoms are time sensitive, requiring decision-making under conditions of uncertainty and urgency. Patient safety and safe professional practice are extremely important in the field of teletriage, which has a high potential for error. There is a need identifying safe systems to guide developers and clinicians about needed improvements. Key messages • Patient safety and safe professional practice are extremely important in the field of teletriage. • We need to guide developers and clinicians about needed improvements in teletriage systems.

Regionalism under test: justifying initial regional responses to the global Covid-19 crisis in Latin America

ABSTRACT This article explores the distinctive features of Latin American regionalism by examining its rhetorical justifications during the onset of the COVID-19 crisis. The pandemic offered an exceptional opportunity to witness the professed role of regional organizations in the Global South as bridges between national and international systems: how this role is discursively constructed and the practical limitations it faces in times of disruption. We address different attempts to (self-)justify the relevance of regionalist visions, analyzing how three (inter-)regional organizations of the Americas reacted discursively to the global public health crisis: the Common Market of the South (Mercosur), the Organization of American States (OAS), and the Ibero-American Summits (SEGIB). We examine three features that have traditionally shaped Latin American visions of regionalism: coping with world hegemony; striving for regional autonomy; and expressing transnational solidarity. The findings provide insights for further understanding the legitimation of regional and global governance under conditions of uncertainty.