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A new method for positioning a group of unmanned aerial vehicles (UAVs) that collect data from seismic modules via wireless communication is proposed.

The developed method of positioning a group of UAVs includes five main stages: constructing a heat map of Wi-Fi signal propagation, identifying points of maximum signal strength on the heat map, optimal target distribution between UAVs in the group, constructing optimal trajectories considering the complexity of the terrain and resolving conflict situations. The proposed algorithms were implemented programmatically in the ROS2 system in C++, then their operation was simulated in the Gazebo simulation environment.

Simulation of flights of a group of 4, 7 and 10 UAVs in areas of 5 × 5 and 10 × 10 sq km with the presence of 60 and 180 peaks respectively with a height from −50 to −63 dBm, using the developed method made it possible to solve the problem of collecting data from seismic sensors via a wireless communication channel in 34, 18 and 11 min for each group in 5 × 5 area and 83, 37, 32 min for 10 × 10 area. The comparison with other methods showed scalability and performance improvements by an average of 6–18%, depending on the number of UAVs in the group.

The main advantage of this method is the formation of global reciprocating trajectories of a group of UAVs, covering the coordinates of all seismic sensors in the minimum possible time and the iterative construction of local reciprocating trajectories in the process of flying around each sensor.

Knowledge management is a common practice in organizations, with empirical evidence suggesting that organizations value the breadth of their knowledge capabilities. This study investigated transformational leadership styles and their influence on knowledge management practices and organizational performance.

A quantitative survey was conducted, and data from 270 managers of Islamic banks in the United Arab Emirates were analyzed.

Transformational leadership (TL) considerably affects organizational performance and knowledge management capabilities (KMC).

This study offers critical insights into adopting knowledge management practices and discusses the theoretical and managerial implications of its findings. Furthermore, it elucidates the crucial impact of transformational leadership on organizational performance and KMC.

Iron deficiency anemia (IDA) is the most common form of anemia in the world, affecting children, women and the elderly, while also being a common comorbidity in several medical conditions. Several studies have suggested a possible association between IDA and neurological dysfunction. Epilepsy, one of the common neurological disorders, has an unknown association with IDA. This pa per aims to investigate whether there is a causal relationship between IDA and epilepsy using a two-sample Mendelian randomization (MR) design.

This paper obtained summary data on IDA and epilepsy from the FinnGen consortium. Genetic variants significantly associated with IDA were used as instrumental variables (IVs). Epilepsy, focal epilepsy and generalized epilepsy were the outcomes. This paper used inverse variance weighted (IVW) as the primary estimate, and other MR methods were used as supplementary measures. Sensitivity analysis was also performed to assess heterogeneity and pleiotropy.

IVW estimates genetically predicted a causal relationship between IDA and the risk of epilepsy [odds ratio (OR), 1.15; 95% confidence interval (95% CI), 1.05–1.26; p = 0.002] and focal epilepsy (OR, 1.978, 95% CI, 1.58–2.48, p ≤ 0.0001), while no significant causal relationship was found with generalized epilepsy (OR, 1.1, 95% CI, 0.94–1.3, p = 0.24). There was no evidence of horizontal pleiotropy and heterogeneity in the sensitivity analysis.

This two-sample MR study found that IDA has a negative effect on the development of epilepsy. Clinical control of IDA may be helpful in the prevention of epilepsy. There is a need for further studies to explain the underlying mechanisms of this association.

Network configurations have been proposed as an efficient form of organisation and a promising area of research; however, a lack of conceptual clarity can be noted. The purpose of this review is to allow for a broad appreciation of network configurations and provide guidance for future studies of the concept.

A systematic literature review was conducted based on the PRISMA method; Scopus, Web of Science, PubMed and the Cochrane Library were searched for conference proceedings and journal articles describing organisational networks to integrate resources aimed at care delivery. Around 80 articles were included in the final review and analysed thematically and by use of bibliographic coupling.

The last decades have seen an increase in the frequency of articles describing networks for healthcare delivery. The most common contexts are care for multiple and/or long-term conditions. Three clusters of articles were found, corresponding to different conceptualisations of networks in healthcare: efficiency-enhancing cooperation, efficiency-enhancing integration and involvement for cocreation.

To increase conceptual clarity and allow the research on network configurations in healthcare to produce meta-learnings and guidance to practice, scholars are advised to provide ample descriptions of studied networks and relate them to established network classifications.

The current review has only included articles including networks as a key concept, which provides a focused overview of the use of network configurations but limits the insights into similar approaches not described explicitly as networks.

This paper analyzes the effect of repayment capacity on the quantitative rationing of credit to agricultural credit applicants.

The empirical analysis of credit supply involved 595 applicants for agricultural credit. The instrumental variable (IV) approach of probit and tobit was used to identify credit rationing factors.

All things being equal, a 1% increase in repayment capacity increases the amount received by 25% for large applicants, and 47% for small applicants. Other variables related to equity, participation rate, crops produced, reputation, age, activity stability and proximity influence the credit supply.

The results of this study provide a theoretical basis for comparing small and large agricultural credit applicants, which is essential for better decision-making by financial institutions and the government. This article recommends that all applicants should have a good reputation and keep their business income and expenditure book up-to-date, that small applicants should invest in their business and improve their financial education and that large applicants should accumulate wealth and invest in perennial crops. As a limitation of this study, it would be possible to extend the data to other institutions using panel data.

The originality of this study lies in its consideration of the endogeneity problem between repayment capacity and credit rationing and, in a comparative analysis of small and large credit applicants. The results of this analysis will be used to adjust agricultural credit granting policies.

This study aims to explore the correlation between Management Control Systems, Green Innovation, Social Media Networks, and Company Performance in medium-sized construction and real estate firm in Indonesia.

This research method uses quantitative approach. The sample selection technique uses simple random sampling. The analytical method in this study uses structural equation models based on variance. Statistical test tool used, is Smart PLS 3.0.

The management control systems have a significant and positive impact on social media networks, green innovation, and company performance in the upper-middle-class construction and real estate businesses in Java. Furthermore, social media networks and green innovation were found to mediate the strong relationship between management control systems and firm performance in medium-sized construction and real estate businesses in Java.

This research should provide a detailed, technical, and structured explanation of how companies assess suitability standards for implementing green innovation in Indonesia’s construction and real estate sectors.

The finding emphasize the importance of the management control system in enhancing firm performance. If, the elements of the management control system are met or adequate, it can improve the performance of those in charge, leading to satisfactory performance.

This finding is the first of its kind in Indonesia. It will contribute to shaping future development policies for government and private projects, ensuring they are more advance and environmentally conscious.

The adaptive performance of architects as a key professional in project delivery teams has become important for developing strategies, skills and cognitive behaviours for sustainability of working systems. However, the understanding and knowledge of adaptive performance of architects is lacking in the current literature. Thus, this study fills this gap by primarily assessing the adaptive performance of architects in project teams in project delivery.

By adopting the widely used eight-dimension attributes of adaptive performance, a questionnaire survey was conducted among team participants and stakeholders who directly or indirectly work on projects with architects in the public and private sectors project delivery supply chain in Ghana. A total of 42 responses were subsequently used in a fuzzy set theory analysis being facilitated by a set of linguistic terms.

From the assessment, the overall adaptive performance of architects from the eight-dimension attributes emerged to be fairly high. Additionally, the architects’ performance in the individual eight-dimensions showed varied results. High performance was registered in architects’ ability to handling work stress and cultural adaptability. Also, architects demonstrated a fairly high performance in dealing with uncertain or unpredictable work situations. However, in the cases of learning work tasks, technologies and procedures, interpersonal adaptability and handling crisis and emergency situations, architects were deemed to have low and fairly low adaptive performance among project teams.

Given the vagueness and complexities in understanding adaptability among teams and its assessment, through the use of fuzzy set theory based on a suitable set of linguistics terms, the study presents a novel understanding of the level of architects’ adaptive performance in project teams in project delivery. The findings are extremely useful in helping architects adapt and cope with changing competitive work environment by developing the right cognitive behaviours for task functions and organizational roles, disruptions and aiding their ability to self-regulate.

This study aims to understand how Gen Z consumers perceive fashion brands’ corporate social responsibility (CSR) communication through emotional appeals on Instagram and how such perception affects their overall behaviour towards the brand.

The study adopts a qualitative research approach through photo-elicitation and 14 semi-structured in-depth interviews with members of Gen Z, using one of the world’s largest fast fashion brands, H&M, as the study context.

It is increasingly difficult to capture the attention of Gen Z as they have become immune to the typical CSR messages despite attempting to appeal to their emotions. This makes CSR communication alone challenging in influencing brand perception. However, behaviour towards the brand, such as purchase intention, is not necessarily dependent on whether consumers are convinced of the brand’s CSR activities, as greater value is placed on fast fashion’s price and availability. For Gen Z, such elements surpass their concern for sustainable fashion. Since more emphasis is placed on neutral endorsers due to their trustworthiness, CSR efforts may be disseminated through such third parties to achieve desired outcomes.

Understanding consumers’ perceptions of the current CSR effort allows brand managers to reevaluate their CSR communication strategies to appeal to Gen Z and encourage positive brand behaviour.

Contrary to previous studies, which have focused on organisational outcomes, the study has in-depth explored consumers’ perception of CSR efforts on Instagram and the implications of such perceptions for long-term brand building.

This study aims to explore how manufacturing firms in emerging economies can effectively adjust the rhythm and shift frequency between exploitation and exploration renewal. The authors also examine how these strategic adjustments can significantly boost firm performance, offering insights into the dynamic process of strategic renewal.

This study analyzes annual reports of 127 Indonesian manufacturing firms from 2014 to 2019, applying both linear and curvilinear regression models to examine the hypotheses. Data on exploration and exploitation renewal were meticulously gathered using computer-aided text analysis, using targeted keywords to identify strategic renewal efforts.

The study shows that a rather irregular balance rhythm between exploitation and exploration renewal surprisingly enhances firm performance. A curvilinear relationship emerges as performance peaks when the shift frequency of renewal occurs about three times. This relationship optimizes the strategic renewal processes, emphasizing that firms need to remain agile and adaptable in today’s dynamic market environment.

This study leverages organizational learning to assess how the paradoxical dimensions of exploration and exploitation renewal impact firm performance. By focusing on the temporal transition of these tensions, it provides insights into optimizing the rhythm and shift frequency of renewal, transitioning from a static to a dynamic accord.

This study aims to integrate design methods and additive manufacturing with the use of a thermoplastic elastomer certified for medical use and reverse engineering towards a new concept of a customized buttress model with optimized features for the reconstruction of the osteo-dural opening after endoscopic endonasal transtuberculum-transplanum approach.

Additive manufacturing allows making of cost-effective and useable devices with tailored properties for biomedical applications. The endoscopic endonasal approach to the suprasellar area enables the management of different intradural tumours, and the craniectomy at the skull base is generally wide and irregular. Defining an optimal strategy for osteodural defect closure at the preoperative stage represents a significant challenge.

Using the results obtained from a computed tomography analysis, skull base defects were designed to plan the surgical approach. Several concepts of customized buttress models were first built up, initially focusing on thin, flexible edges characterized by different thicknesses. Finite element analyses and design optimization allowed us to achieve the optimal design solution with improved compliance/flexibility for easy intranasal manoeuvrability, maintaining an adequate mechanical stability. As the thickness of the edges decreased, an increase of strain energy values was found (i.e. 1.2 mJ – Model A, 1.7 mJ – Model B, 2.3 mJ – Model C, 4.3 mJ – Model D). However, a further optimization (Model E) led to a significant increase of the compliance (strain energy of 14.1 mJ).

The results obtained from clinical evaluations demonstrated the feasibility of the proposed technical solutions, improving surgery effectiveness.