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Factors influencing land rental market participation: A case study in Northern Ireland
Agricultural land mobility through an efficient land rental market has been shown to contribute to the productive and sustainable utilisation of land, by facilitating the transfer of land from less productive farmers to more productive farmers. However, this is not the case in Northern Ireland where the sale of agricultural land is limited with a constrained tenanted sector. The objective of this study is to analyse the factors influencing participation in the land rental market in Northern Ireland. To achieve our objective, data from 1466 farmland owners was analysed using principal component analysis (PCA) and multinomial logistic regression model. The results show that land rental market participation is impacted by motivational and socioeconomic factors. The study recommends the development of schemes that support the early and comfortable retirement of older farmers to increase the access of young farmers to land and improve the land rental market
Facilitators and barriers to employment of neurodivergent individuals: a systematic literature review of employee and employer experiences
PurposeWhile employment rates amongst neurodivergent adults are notoriously low, little is known about their experiences in the workplace and their contribution to innovation and productivity in the labor market. At the same time, the views of colleagues and employers with regard to the inclusion of neurodivergent adults in the workforce are important. The purpose of the systematic literature review presented here was to explore what is known about the experiences of neurodivergent employees, their colleagues, and employers in terms of facilitators and barriers to inclusive best practice in the workplace.MethodsWe conducted a systematic review of the literature. Our analysis and synthesis are based on 56 studies from 12 different countries that met inclusion criteria.ResultsEligible studies included 4909 neurodivergent employees, 2041 non-neurodivergent participants (mostly coworkers), and nearly 300 supervisors, managers, and employers. Identified barriers included a lack of awareness and education of supervisors, especially when they attributed social challenges to personal factors, at times resulting in disciplinary actions or exclusion. Key facilitators included supportive managers, flexible and tailored work arrangements, and the availability of assistive technologies. Benefits of inclusive approaches included improved employee retention, increased commitment, and an enhanced organizational image.ConclusionsOur review findings confirm that neurodivergent employees experience a number of impactful barriers at work. They also experience some important facilitators that can make their working life easier. We propose that future mainstream employment research should ensure that neurodivergent voices are heard and suggest that future work also includes employee, managerial, and organizational perspectives.<br/
Reconfigurable metacavity antenna-based microwave computational imaging
In this paper, a reconfigurable metacavity antenna (RMA) is proposed to generate sufficient measurement modes for implementing microwave computational imaging (MCI) within a limited bandwidth. The RMA is essentially a metacavity antenna, with its back side replaced by a reconfigurable metasurface and its top surface etched with circular leaky irises. By altering the on/off states of the PIN diodes loaded onto the reconfigurable metasurface, the resonant mode inside the metacavity is modulated, thereby radiating chaotic wavefronts. These lowcorrelated radiated fields can be used to encode the imaging scene, which are referred to as measurement modes in an MCI system. MCI experiments are conducted at 20 GHz using full-wave simulations. Two configurations, RMA-to-probe and RMA-to-RMA, are analyzed, highlighting the enhanced imaging performance achieved under the RMA-to-RMA layout.<br/
Optimized localized mode selection technique in computational microwave imaging
This study presents a technique for optimizing measurement mode selection in computational microwave imaging (CMI)-based systems. The primary goal of the presented method is to enhance the computational efficiency while maintaining the imaging quality. To this end, we outline a Regional Average Correlation Matrix (RACM) approach to evaluate the effectiveness of measurement modes based on an area-specific analysis of near-field distributions. Additionally, after performing RACM, we develop and optimize a Contribution Matrix Sorting (CMS) algorithm. Finally, we use the enhanced algorithm to identify the most informative measurement modes in a CMI-based system. The validity of this approach is confirmed through full-wave simulations conducted in CST Microwave Studio, revealing a high imaging quality even when the number of measurement modes is reduced by 77 %. This work achieves a significant advancement in practical CMI applications, providing a solution to computational efficiency-related challenges in CMI while maintaining highquality imaging results.<br/
Leveraging digital innovation for sustainable performance via supply chain resilience
As an emerging innovation paradigm in the digital economy era, digital innovation has become an important means for manufacturing firms to build supply chain resilience for sustainable development, but its intrinsic mechanism requires clarification. This research explores the impact of digital innovation (digital organizational innovation and digital product innovation) on supply chain resilience (supply chain readiness, supply chain responsiveness, and supply chain recovery) and sustainable performance via structural equation modeling involving data from 226 Chinese manufacturing firms. The results show that digital organizational innovation can promote digital product innovation. Digital organizational innovation and digital product innovation contribute to supply chain readiness, supply chain responsiveness, and supply chain recovery. Supply chain readiness, supply chain responsiveness, and supply chain recovery enhance sustainable performance. Finally, supply chain resilience mediates the relationship between digital innovation and sustainable performance. These findings reveal the role of digital innovation in improving sustainable performance through supply chain resilience and provide practical guidance for manufacturing companies to better conduct digital innovation to build supply chain resilience and thus realize sustainable development
Multi-region investigation of 'man' as default in attitudes
Previous research has studied the extent to which men are the default members of social groups in terms of memory, categorization, and stereotyping, but not attitudes which is critical because of attitudes’ relationship to behavior. Results from our survey (N > 5000) collected via a globally distributed laboratory network in over 40 regions demonstrated that attitudes toward Black people and politicians had a stronger relationship with attitudes toward the men rather than the women of the group. However, attitudes toward White people had a stronger relationship with attitudes toward White women than White men, whereas attitudes toward East Asian people, police officers, and criminals did not have a stronger relationship with attitudes toward either the men or women of each respective group. Regional agreement with traditional gender roles was explored as a potential moderator. These findings have implications for understanding the unique forms of prejudice women face around the world.<br/
A luminous and hot infrared through X-Ray transient at a 5 kpc offset from a dwarf galaxy
We are searching for hot, constant-color, offset optical flares in the Zwicky Transient Facility data stream that are >10″ from any galaxy in public imaging data from the PanSTARRS survey. Here, we present the first discovery from this search: AT 2024puz, a luminous multiwavelength transient offset by 5 kpc from a ∼108 M⊙ galaxy at z = 0.356 with a low–moderate star formation rate (0.01 ± 0.003 M⊙ yr−1). It produced luminous 1044.79±0.04 erg s−1 optical/UV emission that evolved on a ∼20 day timescale, as well as 1044.12±0.03 erg s−1 X-ray emission with a photon-index Γ=1.73−0.09+0.10 . No associated radio or millimeter emission was detected. We show that the early time optical emission is likely powered by reprocessing of high-energy, accretion-powered radiation, with a possible contribution from a shock in a dense circumtransient medium. If the shock is dominant at early times, the circumtransient medium has a mass ∼0.1–1 M⊙, a radius 1015 cm, and a density profile shallower than ∼r−1. A near-infrared excess appears at late-times and is suggestive of reprocessing within a wind or other circumtransient medium. The X-rays are most consistent with a central engine. We suggest that AT 2024puz may be associated with an accretion event onto a 50–105 M⊙ black hole, where the lower masses are preferred based on the large projected offset from the host galaxy. AT2024puz exhibits properties similar to both luminous, fast, blue optical transients and tidal disruption events, but is intermediate between them in its energetics and evolution timescale. This highlights the need for broader exploration of the landscape of hot optical transients to trace their origins
Another Korean diaspora: embodied affects and spatial detachment of adoptee narratives in contemporary cinema
Co-design and evaluation of a gamified E-Resource about healthcare decarbonisation: a study protocol
Climate change poses a major global health threat, with healthcare systems contributing substantially to global greenhouse gas emissions. Health professionals and students play an essential role in advancing sustainable practice, yet many lack the knowledge, skills, and confidence needed to address the environmental impacts of healthcare. This study aims to co-design and evaluate a gamified e-resource that enhances pre-registration health profession students’ knowledge, self-efficacy, and attitudes towards healthcare decarbonisation, while encouraging sustainable behaviour change. A sequential explanatory design will be employed in three phases: (1) a scoping review of the literature; (2) four co-design workshops with students (n = 20) followed by post-workshop focus groups using focused ethnography to explore co-design experiences; and (3) pre- and post-test questionnaires (n = 200) assessing knowledge, attitudes, self-efficacy, behaviours, willingness to act, and usability, followed by focus groups (n = 30) exploring behavioural changes after using the e-resource. The study will generate evidence on how a co-designed, gamified e-resources influence student learning and engagement with healthcare decarbonisation. Findings will inform the integration of sustainability and decarbonisation principles within education and support efforts to equip future health professionals with the competencies required for a low-carbon healthcare system.<br/