Degree Of Autonomy Research Articles

Co-Producing Art’s Cognitive Value

Abstract After viewing a painting, reading a novel, or seeing a film, audiences often feel that they improve their cognitive standing on the world beyond the canvas, page, or screen. To learn from art in this way, I argue, audiences must employ high degrees of epistemic autonomy and creativity, engaging in a process I call ‘insight through art’. Some have worried that insight through art uses audience achievements to explain an artwork’s cognitive and artistic value, thereby failing to properly appreciate the cognitive and artistic achievements of artists. I move against this worry by arguing that in order to learn via insight through art, audiences must collaborate with artists, sharing the labour and credit for the cognitive achievements they co-produce. I claim this co-productive outlook reveals that our appreciation of art’s cognitive and artistic value involves far more audience participation than has hitherto been realized.

Site Reassignment for Mobile Outreach Teams: Investigating the Effectiveness of Decentralized Decision Making

Problem definition: United Nations Sustainable Development Goal (SDG) 3.8 states that health coverage should be universal by 2030. This is challenging in rural and poor areas. To address this challenge, mobile outreach teams of healthcare workers visit a fixed set of remote sites to provide healthcare services. Because of dynamics in demand and supply, once-rational site-to-team assignment decisions can become far from optimal over time. This paper considers the problem of reassigning sites to teams to maximize effectiveness. Solving this problem through a central planner does not fit the context: outreach teams commonly have a high degree of decision-making autonomy. We study a decentralized approach where subsets of teams collaborate in a series of team meetings to reassign sites. The key question for decision makers is whether and when such an approach is effective. Methodology/results: We propose a mixed-integer programming model for centralized site reassignment. We extend this model to represent the decentralized approach and develop a set of simple decision rules for this approach. We use empirical data from six country outreach programs of the nongovernmental organization MSI Reproductive Choices. Our results suggest that, when properly designed, decentralized decision making performs close to centralized decision making, and even outperforms it in the case of inaccurate information at the central level. The finding remains valid when demand and supply fluctuate, and is insensitive to the chosen objective. Managerial implications: Humanitarian organizations currently deploy mobile outreach teams to provide a wide variety of health services. We present several useful insights for decision makers in humanitarian organizations when making design choices, taking account of context. In particular, we show that decentralized site reassignment provides a feasible and effective alternative to centralized approaches in many contexts. Supplemental Material: The online supplement is available at https://doi.org/10.1287/msom.2021.0437 .

Utility-Driven Approach to Onboard Scheduling and Execution for an Autonomous Europa Lander Mission

Jupiter’s icy moon Europa is among the most promising locations to explore for signs of extraterrestrial life in our solar system. However, searching for biosignatures on the surface of Europa presents an unprecedented set of challenges: immense uncertainty, limited energy, and few opportunities for operator feedback. Effectively carrying out a robotic science campaign under these conditions will require a system with a greater degree of autonomy than any planetary exploration mission to date. In particular, onboard scheduling and execution are required for robustness to uncertainty in surface conditions, variation in lander performance, and science discoveries to maximize the quantity and quality of science data returned to Earth during a fixed, limited lander lifetime. Here we represent a proposed Europa Lander surface mission as a utility-driven hierarchical task network and establish through analysis that onboard autonomy using automated mission planning with execution feedback and predictive task models results in mission execution that is more consistently productive compared to traditional static approaches. We design a simulated onboard autonomy framework built by integrating two software components—Multi-mission EXECutive and Europa Lander Autonomy Prototype—to properly simulate the Europa Lander domain and demonstrate empirically that the proposed planning and execution system is capable of commanding a set of realistic surface scenarios as part of a larger Europa Lander surface autonomy software prototype. We expect that an approach to scheduling and execution grounded in decision theory will be an enabling technology for future tightly constrained planetary surface missions.

Primary health care models for refugees and the involvement of nurses: A systematic review

Abstract Background Primary health care is key to address the health and social needs of refugees. Nurses are often part of multidisciplinary teams in primary health care, but little is known about their roles and responsibilities in refugee health. Our systematic review aimed to synthesise the existing knowledge about models of care (MoC) for refugees in primary care settings and the involvement of nurses in these models. Methods We searched PubMed, CINAHL and Web of Science for literature published in English, Spanish, French and German. For grey literature, we additionally searched Google Search and Scholar, Microsoft Bing and DuckDuckGo. Eligible publications reported on MoC for refugees in a primary care setting and the involvement of nurses. We extracted and synthesised information about the structure of these models as well as the roles and responsibilities of nurses within these. Results 112 publications met our inclusion criteria. Our narrative synthesis focuses on 61 publications with in-depth insights into existing MoC and nurse involvement. We identified 45 MoC, mainly originating from high-income-countries and with almost a third from Australia. The majority of MoC set up a parallel health care structure that refugees could access for a limited period of time. In most MoC, the role of the nurse is described with a relatively high degree of autonomy and with clear areas of responsibility. Clinical and administrative tasks are only part of the nurse’s role, while educational and coordinating activities are often equally important. Conclusions Despite the significant number of refugees in European countries we identified only few reports on MoC specifically addressing their needs. While parallel care structures may be an appropriate approach for a short period of time, integration of refugees into the regular health system is key. Specially trained nurses are well placed to support refugees through a range of measures, including health education and case management. Key messages • Models of Care for refugees could help to navigate within a new healthcare system and ensure that no one is left behind. However, development of and research on such structures are still scarce. • Specially trained nurses are well placed to care for refugees and to support their integration into regular health systems through a range of measures, including health education and case management.

Meaningful work through craft: how workers in low-skilled roles engage in anomalous craft to gain autonomy and receive recognition

Meaningful work is work that offers a degree of autonomy and the opportunity to receive recognition from others. It is traditionally associated with highly skilled work whereas low-skilled jobs are often equated with meaningless work. Previous research assumes that workers in low-skilled roles have little access to the autonomy or recognition characteristic of highly skilled labour. Rather it suggests that in their efforts to make their working lives more tolerable, such workers are limited to either discursively reframing the significance of their roles or engaging in acts of resistance against the organisation. In this paper, based on an eight-month ethnographic study of a mould-producing company in France, we identify three processes through which workers in low-skilled roles find temporal opportunities to engage in anomalous craft where latent or underused craft skills and attitudes are utilised to enable them to work more autonomously and earn recognition from peers and supervisors rendering their work more meaningful. Our work offers insights into how workers can use craft to activate or re-establish meaning in contexts where work has been stripped of significance.

Robot terrain classification based on improved Hilbert-Huang transform and long short-term memory network

Nowadays, with the rapid development of science and technology, the innovation and application of robot technology has become an important force to promote industrial development, which requires robots to have a high degree of autonomy and adaptability. Among them, terrain classification technology is one of the key technologies to achieve this goal. In order to improve the ground adaptability of robots in complex environments, this paper proposes a terrain classification algorithm based on improved Hilbert-Huang transform(HHT) combined with ensemble empirical mode decomposition(EEMD) and long short-term memory network(LSTM). Firstly, the signal data is processed by EEMD, and then the frequency domain features of the signal are extracted by Hilbert transform to expand the feature dimension. Finally, the features are learned and classified by the LSTM model, which effectively improves the classification accuracy. In this paper, we conducted sufficient experiments to compare the effects of EMD and EEMD and the effects of different neural network models, and verified the contribution of the Hilbert-Huang transform to improve the classification performance through ablation experiments, which proves the effectiveness and reliability of our proposed algorithm, and provided powerful technical support for the robot to adapt to the ground information in the complex environment.

Medication Self-Management for Home Care Users Receiving Multidose Drug Dispensing: Qualitative Interview Study.

Multidose drug dispensing (MDD) is an adherence aid where medicines are machine-dispensed in disposable unit bags, usually for a 14-day period. MDD replaces manually filled dosettes in many home care services in Norway. While evidence suggests that MDD can improve medication adherence and reduce errors, there are few studies on how patients manage MDD at home and how this affects their daily routines. The aim of the study is to identify factors influencing medication self-management behavior among MDD users living at home and explore how MDD affects medication self-management. We conducted semistructured interviews with 19 MDD users in Oslo between August 2019 and February 2020. The interviews were held at the participants' homes, and the interview transcripts were analyzed thematically. All participants in the study received some form of assistance with medication management from home care services. This assistance ranged from MDD delivery every other week to actual assistance with medication administration multiple times daily. However, regardless of the level of assistance received, participants primarily managed their MDD medications themselves. Daily medication routines and knowledge about medicines varied among the participants, with some taking an active role in their medication management, while others relied on others to take responsibility. The degree of involvement seemed determined by motivation rather than capability. MDD can support medication self-management, but its effectiveness varies among patients. The level of medication management by MDD users is not solely determined by their actual capabilities. Factors such as interest in self-care and independence, available support, information, and cognitive capacity all play a role in determining the degree of autonomy.

Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles

The integration of IoT systems into automotive vehicles has raised concerns associated with intrusion detection within these systems. Vehicles equipped with a controller area network (CAN) control several systems within a vehicle where disruptions in function can lead to significant malfunctions, injuries, and even loss of life. Detecting disruption is a primary concern as vehicles move to higher degrees of autonomy and the possibility of self-driving is explored. Tackling cyber-security challenges within CAN is essential to improve vehicle and road safety. Standard differences between different manufacturers make the implementation of a discreet system difficult; therefore, data-driven techniques are needed to tackle the ever-evolving landscape of cyber security within the automotive field. This paper examines the possibility of using machine learning classifiers to identify cyber assaults in CAN systems. To achieve applicability, we cover two classifiers: extreme gradient boost and K-nearest neighbor algorithms. However, as their performance hinges on proper parameter selection, a modified metaheuristic optimizer is introduced as well to tackle parameter optimization. The proposed approach is tested on a publicly available dataset with the best-performing models exceeding 89% accuracy. Optimizer outcomes have undergone rigorous statistical analysis, and the best-performing models were subjected to analysis using explainable artificial intelligence techniques to determine feature impacts on the best-performing model.

Russia’s Autocratic Resilience and the Sources of Political Change: Lankina’s Estate Origins

In Estate Origins, Tomila Lankina sheds new light on the logic of persistence and resilience in the Russian social structure that shapes political possibilities in Russia to the present day. It is a wonderful and rewarding read on the historical origins of social requisites of democracy, such as greater civic activism and more pluralistic political competition. To understand variation in attitudinal and behavioral support for democracy in contemporary Russia, according to Lankina, we must go back to tsarist Russia’s estate institutions. A set of institutions that codified the rights and privileges of different social groups, the estates system created incentives for an eclectic and growing stratum of urban dwellers known as meshchane to invest in education while simultaneously fostering the creation of institutional “infrastructures”—professions, educational institutions, charitable, civic, and local governance bodies—that retained during the communist period a degree of autonomy vis-à-vis the state. This, Lankina argues, allowed the meshchane’s distinct value orientations to persist over time.

FACTORS OF THE ADAPTATION AND CHANGE SKILLS OF HUNGARIAN MICRO AND SMALL ENTERPRISES

Micro and small enterprises (MSEs) are essential contributors to the global economy, playing a key role in gross domestic product, private sector employment, and the external trade balance. Despite their significance, they have historically been under-researched, particularly in the context of innovation, where much of the focus tends to be on larger corporations. The innovation of MSEs is critical for their long-term competitiveness and sustainability, yet many studies fail to explore the specific factors that drive this innovativeness within these smaller firms. The objective of this research was to address this gap by conducting a comprehensive investigation into the factors that influence the adaptability and change capabilities of MSEs, both of which are crucial for fostering innovation. A bibliometric analysis, spanning nearly fifty years of academic literature, was undertaken to identify the key factors that impact the innovativeness of MSEs. This analysis led to the identification of ten significant factors, among which dynamic capabilities—defined as a firm’s ability to integrate, build, and reconfigure internal and external competencies to address rapidly changing environments—stood out as the most prominent. Dynamic capabilities allow firms to not only respond to change but to anticipate and shape future trends, positioning them as key drivers of innovation within MSEs. In addition to the literature review, an empirical study was conducted using data from 207 Hungarian entrepreneurs. The statistical analysis of this data revealed a verifiable relationship between several of the identified factors and the innovativeness of these enterprises. Specifically, creativity, workplace autonomy, and dynamic capabilities were found to significantly influence both employee support for innovation and openness to innovative ideas. This suggests that fostering a work environment that encourages creativity and provides employees with a high degree of autonomy can enhance innovation within MSEs. In contrast, the factors of proactiveness and competitive aggressiveness did not demonstrate a conclusive relationship with either employee support for innovation or openness to innovation in the areas examined. The research also found that while some factors aligned with initial expectations, others only partially supported the original hypotheses. For instance, while dynamic capabilities, creativity, and autonomy were strongly linked to innovativeness, other factors such as organizational culture and leadership style had a more complex or indirect relationship with innovation outcomes. Overall, the results of this study are largely consistent with the international literature on the subject, particularly in emphasizing the pivotal role of dynamic capabilities in driving innovation within MSEs. These findings provide important insights for both researchers and practitioners, highlighting the importance of creating an organizational environment that nurtures creativity, grants employees autonomy, and strengthens dynamic capabilities. By focusing on these areas, MSEs can better position themselves to innovate and remain competitive in an increasingly dynamic and complex business landscape. This research contributes to the ongoing dialogue on innovation in small enterprises and underscores the importance of tailoring strategies to enhance the specific strengths of MSEs.

A study on improving the international regulations for preventing collisions at sea (COLREG) for the introduction of maritime autonomous surface ships (MASS)

ABSTRACT Maritime Autonomous Surface Ships (MASS) have emerged with the advancements in information and communication technology (ICT), artificial intelligence (AI), and automation technology. MASS offers several advantages, such as reducing maritime accidents, increasing operational efficiency, lowering labour costs, and minimizing human errors. However, there are numerous challenges to address for the practical operation of MASS. In particular, the International Regulations for Preventing Collisions at Sea (COLREG), which governs the navigation rules for vessels, is a crucial international convention for the safety of navigation of MASS at sea. Therefore, this study examines the amendments to COLREG considering the characteristics of MASS. The International Maritime Organization (IMO) has defined various degrees of autonomy for MASS, ranging from full autonomy to remote control, and through the Regulatory Scoping Exercise (RSE), it has identified the need to amend certain provisions of COLREG to ensure the safe operation of MASS. Accordingly, this paper analyzes the results of the RSE conducted by IMO and proposes measures for improving COLREG to ensure the safe navigation of MASS.

Разработка опросника «Шкала финансовой автономности личности» и его психометрическая проверка на группе предпенсионеров

Relevance: the issues of studying subjective qualities of the pre-retiree’s personality, including their financial autonomy, are of particular relevance due to economic instability and uncertainty. The present article is devoted to the problem of measuring financial autonomy in the situation of retirement planning which is one of the indicators of economic and psychological maturity of a person. The purpose of the work is to conduct a psychometric test of the original author’s questionnaire “Individual’s Financial Autonomy Scale” (T. V. Drobysheva, I. V. Larionov, S. V. Tarasov). Hypothesis: an individual’s financial autonomy scale has a one-dimensional structure and is associated with internal locus control and autonomy interpreted as the individual’s independence. Participants: 215 pre-retirees (from 45 to 63 years old) living in different regions of the Russian Federation including 108 women and 107 men, 49% are working and 51% are unemployed. Techniques (tools): subscale “Autonomy” of K. Ryff’s Scale of Psychological Well-Being (adapted by T. D. Shevelenkova, T. P. Fesenko), the Subjective Control Level Questionnaire (compiled by E. F. Bazhin, E. A. Golynkina, L. M. Etkind); the results were processed with the help of the software packages IBM SPSS.22.0, IBM AMOS 19.0, Jamovi 2.4.11. Results: the initial standardization of the questionnaire has been carried out. A check for normality and internal consistency has been performed. The study has evaluated the factor structure, discriminatory power and convergent validity of the questionnaire. The results show that the Individual’s Financial Autonomy Scale has a one-factor structure and is characterized by high indicators of psychometric reliability. Main conclusions: the Individual’s Financial Autonomy Scale is a reliable tool that measures financial autonomy as the ability of a person to manage their finances regardless of the opinions of others, to make appropriate decisions and to take responsibility for them, as well as to monitor their financial state. The study describes differences in the degree of autonomy in different groups of pre-retirees. The practical significance of the research is determined by the necessity to provide targeted assistance to pre-retirees in planning their retirement on the basis of the financial autonomy indicators measured with the scale.

How It Matters Who Makes Corporate Rules

AbstractCorporate rules are often analysed without attending to the strengths and limitations of the body making, monitoring or implementing those rules. However, corporate rule-making and implementation bodies (RMIBs) over which policymakers have the most influence—legislatures, public regulatory agencies, stock exchanges, and private/professional bodies with a degree of self-regulatory autonomy—have an important bearing on the effectiveness of rules. This article advances a framework to understand how RMIBs influence the effectiveness of corporate rules by critically examining five core features of RMIBs: (a) their incentives for making and implementing the rules; (b) the nature and extent of regulatory competition; (c) available and relative resources; (d) rule-making speed and the certainty of their decisions; and (e) their legitimacy in the eyes of the regulated parties and relevant stakeholders. To illustrate the framework concretely, this article conducts case studies exploring how it matters who makes the rules on climate-related risks disclosure and in the UK’s recently enacted Financial Services and Markets Act 2023.

Assessment of decision-making autonomy in chronic pain patients: a pilot study

BackgroundPatient decision-making autonomy refers to the patients’ ability to freely exert their own choices and make their own decisions, given sufficient resources and information to do so. In pain medicine, it is accepted that appropriate beneficial management aims to propose an individualized treatment plan shared with the patients, as agents, to help them live as autonomously as possible with their pain. However, are patients in chronic pain centers sufficiently autonomous to participate in the therapeutic decisions that concern them? As this question still remains unanswered, a pilot study was set up to that aim.MethodsOver a 2-month period, first-time patients within a tertiary multidisciplinary pain center underwent a systematic evaluation of their autonomy using the MacArthur Competence Assessment Tool for Treatment (MacCAT-T), considered the benchmark tool for measuring a patient’s ability to consent to treatment. Demographic data and pain characteristics of the patients were collected and their respective attending pain physicians were asked to clinically assess their patients’ degree of autonomy. Another physician, who had not participated in the initial patient evaluation, subsequently administered the MacCAT-T questionnaire to the same patients.ResultsTwenty-seven patients were included during the study period (21 women and 6 men), with an average age of 50 years. The average duration of pain was 8 years. Based on their clinical experience, the 4 different pain physicians in charge of these patients considered that out of 25 assessed patients, 22 of them (89%) had full decision-making capacity, with no deficit in autonomy. According to the MacCAT-T results, only 13 of these 25 patients (48%) had no deficit, while 7 (26%) had a major deficit in autonomy. The only patient characteristic that appeared to be related to autonomy was pain type, specifically nociplastic pain. The average time taken to complete the test was 20 min, and patients were very satisfied with the interview.ConclusionResults from the present pilot study suggest that patients suffering from chronic pain do not appear to be entirely autonomous in their decision to consent to the proposed treatment plan according to the MacCAT-T questionnaire, and physicians seem to find it difficult to properly assess this competence in a clinical setting. Further studies with larger samples are needed to better evaluate this concept to improve the complex management of these patients.

The Zero-Velocity Correction Method for Pipe Jacking Automatic Guidance System Based on Fiber Optic Gyroscope.

The pipe jacking guidance system based on a fiber optic gyroscope (FOG) has gained extensive attention due to its high degree of safety and autonomy. However, all inertial guidance systems have accumulative errors over time. The zero-velocity update (ZUPT) algorithm is an effective error compensation method, but accurately distinguishing between moving and stationary states in slow pipe jacking operations is a major challenge. To address this challenge, a "MV + ARE + SHOE" three-conditional zero-velocity detection (TCZVD) algorithm for the fiber optic gyroscope inertial navigation system (FOG-INS) is designed. Firstly, a Kalman filter model based on ZUPT is established. Secondly, the TCZVD algorithm, which combines the moving variance of acceleration (MV), angular rate energy (ARE), and stance hypothesis optimal estimation (SHOE), is proposed. Finally, experiments are conducted, and the results indicate that the proposed algorithm achieves a zero-velocity detection accuracy of 99.18% and can reduce positioning error to less than 2% of the total distance. Furthermore, the applicability of the proposed algorithm in the practical working environment is confirmed through on-site experiments. The results demonstrate that this method can effectively suppress the accumulated error of the inertial guidance system and improve the positioning accuracy of pipe jacking. It provides a robust and reliable solution for practical engineering challenges. Therefore, this study will contribute to the development of pipe jacking automatic guidance technology.

Characteristics and Emerging Trends in International City Negotiations

The article examines key features, main directions, and current trends in international negotiations between subnational territorial units using the example of cities. In today’s world, where the global political system is undergoing epochal change, the international activities of non-governmental and subnational actors, including their participation in international negotiations, have intensified. One of the key features of international city negotiations is that they occur mainly in a multilevel and multilateral format. This is due to the hybrid nature of cities, which are both state and non-state entities. The balance of power between cities and states in international relations depends on factors such as the degree of autonomy granted to sub-national units by the central government, as well as the level of economic and political influence held by cities. Sometimes, the position of a city may differ significantly from that of the state it belongs to. At the international level, there are several specialized institutions and mechanisms that allow cities to coordinate their positions and develop common approaches. These include the World Association of United Cities and Local Authorities, the World Assembly of Local and Regional Authorities, and the Metropolis Association. The main topics of today’s multilateral negotiations between cities include combating climate change, ensuring protection from natural disasters, promoting the rights of migrants and other displaced people, and fostering innovation in urban environment and governance. In contrast, bilateral negotiations between cities, based on the institution of sister cities, focus more on the humanitarian, scientific, educational, and cultural spheres of cooperation. Finally, current trends in international city negotiations include the increasing use of digital technologies and the geographical reorientation of Russian cities’ partnerships towards the countries of the “global majority.”

Preferences for coordinated care for rare diseases: discrete choice experiment

BackgroundEvidence suggests that coordination of care for people affected by rare diseases is poor. In order to improve the way that care is coordinated it is necessary to understand the preferences of people affected by these conditions, and providers. The aim of this study was to examine patient, parent and carer, and health care professional preferences for different attributes of care coordination for people affected by rare diseases. We conducted a discrete choice experiment using online surveys. There were no restrictions on participants in terms of rare conditions, demographic factors other than age, or geographical location within the UK. Choice scenarios were based on the following attributes: annual cost of attending appointments; access to health records; access to clinical expertise; support of a care coordinator; access to a specialist centre; and, the existence of a documented plan for emergency care. Data were analysed using alternative-specific conditional logit regression models.ResultsValid responses were obtained from 996 individuals (528 patients, 280 carers, 188 health care professionals) between August and December 2019. All attributes significantly influenced the type of service respondents preferred. Patients, carers and health professionals’ preferences for care coordination were influenced by: the cost of attending appointments; access to health records; clinical expertise; role of care coordinators; access to specialist centres; and the existence of plan for emergency care. There were no statistically significant differences in the preferences between patients and carers. Preferences of health professionals differed to those of patients and carers. Both patients and carers selected responses which granted them a greater degree of autonomy in relation to the role of care coordinators, whereas health professionals preferred services where care coordinators had more autonomy. Health care professionals also expressed a stronger preference for a documented formal emergency plan to be in place.ConclusionsThe findings highlight that people value better coordinated care, in line with policy documents emphasising commitments to coordinated care for people affected by rare diseases. This study highlights the factors that could be included in service provision as ways of improving the coordination of care for people affected by rare diseases.

DEVELOPMENT OF SCIENTIFIC FOUNDATIONS AND METHOD OF AUTONOMOUS POWER AND GAS SUPPLY OF REMOTE CONSUMERS FROM GAS DISTRIBUTION NETWORKS

The development and implementation of independent power supply systems with a high degree of autonomy is becoming an urgent task for the development of remote and inaccessible regions of the country, both due to the lack of energy capacities and accessible networks in newly developed areas, and the high cost of allocating separate power lines for remote and compact settlements. The increase in the scale of central networks is associated with high capital investments and long project implementation time, which creates inconvenience for consumers and the development of small and medium-sized enterprises. At the same time, unlike power supply, gasification issues, which are actively being resolved in all regions of the country, make it possible to connect new consumers of natural gas several times faster and cheaper, which is due to the high manufacturability and speed of construction of polyethylene gas pipelines of distribution networks, provided that gas pipelines pass in the region. In addition to lower capital and operating costs, the process of transporting energy resources through pipelines in the form of a primary source — gas — is characterized by significantly lower losses compared to water and electricity. At the same time, network gas in combination with trigeneration technologies and cryogenic hydrocarbon storage can be used not only as boiler fuel, but also as motor fuel, a source for generating electricity, heat and even cold with a replenished autonomous reserve. Thus, as an alternative solution to traditional power systems, it is proposed to use hybrid power systems — systems based on trigeneration plants with gas piston installations, turbine and screw machines, as well as cryogenic gas storage facilities that can provide the population with electricity, heat, cold and motor fuel. The article analyzed the state and development of the fuel and energy complex in Russia, conducted a study of the needs for heat, gas and electricity for an average compact settlement with small and medium-sized enterprises. Analysis and selection of equipment parameters for uninterrupted autonomous power supply of the economy was carried out.

Enhancing person-job fit: Who needs a strengths-based leader to fit their job?

Even though person-job fit (PJ fit) is a crucial predictor of employees' overall engagement and performance in their jobs, few studies have identified the mechanisms that enhance PJ fit during the employment relationship. Further, the models that do predict how PJ fit evolves over time are predominantly based on the idea that fit improves through individual adjustment processes by workers. This paper provides a new lens on PJ fit that is based on strengths theory, proposing that strengths-based leaders play a critical role in enhancing both dimensions of PJ fit, i.e. needs-supplies (NS) and demands-abilities (DA) fit, by encouraging employees to use their unique strengths. Furthermore, based on theorizing on substitutes for leadership, proactive career management, and situational strength theory we test the idea that high levels of proactive personality and job autonomy may partly compensate for a lack of strengths-based leadership. We collected three waves of data with two-month time lags from a representative sample of 308 Dutch workers, resulting in 906 datapoints. Results of multi-level path modeling indicate that strengths-based leadership is indeed positively related to both DA fit and NS fit and mediated by strengths use at the within-person level. Further, our results indicate that the combination of high job autonomy and high proactive personality partly compensates for the absence of strengths-based leadership on the within-person level. We conclude that strengths-based leadership is particularly important to facilitate strengths use and PJ fit of employees who have a low propensity to be proactive and/or do not have a high degree of autonomy in their job. We discuss the implications of these findings for research and practice.

The Influence of Population and Economic Growth on Capital Expenditures through Original Regional Income of East Kalimantan Province 2018-2022

Understanding the degree of regional autonomy in funding development and government operations by raising the possibility of regional revenue is a crucial component of putting regional autonomy authority into practice. The degree of regional financial independence indicates how well the regional government has been able to boost local financial capability and lessen reliance on financial aid from the federal government. In order to determine the direct and indirect impacts between variables, this study used the route analysis data analysis method (route Analysis) with SPSS (Statistical Product and Service Solutions) software version 29. Path analysis is chosen in this study because it enables testing of the theoretical applicability of the methodology employed, which is the causal relationship approach. Path analysis is a useful tool for analyzing more complex models than multiple linear regression can handle. The government is projected to be able to implement strategic policy initiatives in an effort to raise Regional Original Income, which serves as a source of funding for capital expenditures.