bluuebunny/crossref_metadata_2025 huggingface dataset:
Particle spectra of general Ricci-type Palatini or metric-affine theories
Authors: Barker W. , Marzo C.
Published: May 2024

In the context of weak-field metric-affine (i.e. Palatini) gravity near Minkowski spacetime, we compute the particle spectra in the simultaneous presence of all independent contractions quadratic in Ricci-type tensors. Apart from the full metric-affine geometry, we study kinematic limits with vanishing torsion (i.e. a symmetric connection) and vanishing nonmetricity (i.e. a metric connection, which is physically indistinguishable from Poincaré gauge theory at the level of the particle spectrum). We present a detailed report on how spin-parity projection operators can be used to derive systematically and unambiguously the character of the propagating states. The unitarity constraints derived from the requirements of tachyon and ghost freedom are obtained. We show that, even in the presence of all Ricci-type operators, only a narrow selection of viable theories emerges by a tuning.

Published by the American Physical Society
2024
Speed-accuracy trade-offs in best-of-
n
collective decision making through heterogeneous mean-field modeling
Authors: Reina Andreagiovanni , Njougouo Thierry , Tuci Elio , Carletti Timoteo
Published: May 2024

To succeed in their objectives, groups of individuals must be able to make quick and accurate collective decisions on the best option among a set of alternatives with different qualities. Group-living animals aim to do that all the time. Plants and fungi are thought to do so too. Swarms of autonomous robots can also be programed to make best-of-n decisions for solving tasks collaboratively. Ultimately, humans critically need it and so many times they should be better at it! Thanks to their mathematical tractability, simple models like the voter model and the local majority rule model have proven useful to describe the dynamics of such collective decision-making processes. To reach a consensus, individuals change their opinion by interacting with neighbors in their social network. At least among animals and robots, options with a better quality are exchanged more often and therefore spread faster than lower-quality options, leading to the collective selection of the best option. With our work, we study the impact of individuals making errors in pooling others' opinions caused, for example, by the need to reduce the cognitive load. Our analysis is grounded on the introduction of a model that generalizes the two existing models (local majority rule and voter model), showing a speed-accuracy trade-off regulated by the cognitive effort of individuals. We also investigate the impact of the interaction network topology on the collective dynamics. To do so, we extend our model and, by using the heterogeneous mean-field approach, we show the presence of another speed-accuracy trade-off regulated by network connectivity. An interesting result is that reduced network connectivity corresponds to an increase in collective decision accuracy.

©2024 American Physical Society
2024
American Physical Society
Optical control and coherent coupling of spin diffusive modes in thermal gases
Authors: Bevington P. , Nicholson J. , Zipfel J. D. , Chalupczak W. , Mishra C. , Guarrera V.
Published: May 2024

Quantum science and technology devices exploiting collective spins in thermal gases are extremely appealing due to their simplicity and robustness. This comes at the cost of dealing with the random thermal motion of the atoms which is usually an uncontrolled source of decoherence and noise. There are however conditions, for example, when diffusing in a buffer gas, where thermal atoms can occupy a discrete set of stable spatial modes. Diffusive modes can be extended or localized, have different magnetic properties depending on boundary conditions, and can react differently to external perturbations. Here, we selectively excite, manipulate, and interrogate the longest-lived of these modes by using laser light. In particular, we identify the conditions for the generation of modes that are exceptionally resilient to detrimental effects such as light induced frequency shifts and power-broadening, which are often the dominant sources of systematic errors in atomic magnetometers and comagnetometers. Moreover, we show that the presence of spatial inhomogeneities in the pump introduces a coupling that leads to a coherent exchange of excitation between the two longest-lived modes. Our results demonstrate that systematic engineering of the multi-mode nature of diffusive gases has great potential for improving the performance of quantum sensors based on alkali-metal thermal vapors, and opens new perspectives for quantum information applications.

Published by the American Physical Society
2024
Health literacy in parents of children with Down syndrome
Authors: Akça Gülfer , Sanri Aslihan , Akca Unal
Published: May 2024

Purpose

This study aims to evaluate the health literacy level of the parents of children diagnosed with Down syndrome (DS) within one institution in Turkey.

Design/methodology/approach

A cross-sectional survey measuring demographics, information of the child and the parent and health literacy was administered to participants. The health literacy levels in the study were measured with the European Health Literacy Scale (EHLS), which consists of 47 questions.

Findings

Of the 65 participants who completed the questionnaire, 56.9% were mothers, 68.1% were diagnosed in the neonatal outpatient clinic examination after birth, and 58.5% stayed in the neonatal intensive care unit after birth. The mean score of the IHLS scale was 25.06 ± 6.59. Of the parents, 63.1% were found to be inadequate, 18.5% problematic-limited, and 18.5% adequate health literate. Any parent with excellent health literacy level was identified. High education level (p < 0.001), high income level (p < 0.001), living in the city center (p < 0.05), planned pregnancy (p < 0.05) and being a health worker (p < 0.001) were found to be statistically significant with a high EHSL score.

Research limitations/implications

The presence of Down syndrome (DS) in a child also necessitates ongoing monitoring for a range of conditions, including eye diseases and heart disease. Some surgical procedures, such as heart or gastrointestinal surgeries, may also be required. Additionally, the child may require the administration of various medications. Finally, due to the potential lifelong need for assistance, the child may require the support of an adult throughout their lifetime. This is because of the child's inability to live independently due to their mental state. Therefore, parent education is the most important issue in the follow-up of the disease.

Practical implications

To the best of the authors’ knowledge, this is the first study to determine that parents of children diagnosed with DS have very limited knowledge of the disease and health literacy. Explanation of current diseases, treatments and training of parents should also be included in genetic counseling.

Social implications

DS is a chromosomal disease that requires multidisciplinary care. Parents have to know the course of the disease and its complications.

Originality/value

The findings of this study indicate that parents of children with Down syndrome exhibit a profound lack of knowledge regarding the nature of their child's condition and the available healthcare options. It is therefore imperative that genetic counseling incorporates an explanation of the diagnosed diseases, treatments, and educational resources for parents.
Peer health coach experiences promoting a nondiet approach in a university health coaching program
Authors: Lee Saemi , Lima Fogaca Janaina , Papini Natalie , Joseph Courtney , Squires Nikole , Clifford Dawn , Lee Jonathan
Published: May 2024

Purpose

Research shows peer health education programs on university campuses can support students in pursuing sustainable health-related behavior changes. However, few programs deliver peer health education through a nondiet, weight-inclusive framework. Research shows that health educators who challenge the status quo of diet culture and weight-focused health interventions may face unique challenges when sharing this perspective with others. Thus, the purpose of this study was to examine the experiences of peer educators who provided critical health education by introducing a nondiet, weight-inclusive approach to health.

Design/methodology/approach

Five health coaches from a university health coaching program at a mid-sized southwestern university participated in a semi-structured interview. The data were analyzed through interpretative phenomenological analysis.

Findings

Peer educators faced numerous challenges when introducing nondiet, weight-inclusive approaches such as lacking credibility as a peer to challenge weight-centric messages, feeling conflicted about honoring clients’ autonomy when clients are resistant to a weight-inclusive approach and feeling uncomfortable when discussing client vulnerabilities. Peer educators also identified several strategies that helped them navigate these challenges such as being intentional with social media, using motivational interviewing to unpack clients’ concerns about weight, and seeking group supervision.

Originality/value

Given the reality that health coaches will face challenges sharing weight-inclusive health approaches, educators and supervisors should explicitly incorporate strategies and training methods to help peer health coaches prepare for and cope with such challenges. More research is also needed to examine effective ways to introduce weight-inclusive approaches to college students.
Comparing the antecedents of manager’s and employee’s job satisfaction in the housekeeping department
Authors: Zhang Yunxuan Carrie , Zemke Dina M.V. , Belarmino Amanda , Shum Cass
Published: May 2024

Purpose

Job satisfaction is essential in understanding turnover intentions. Previous studies reveal that highly educated hospitality employees generally have lower levels of job satisfaction, indicating that the antecedents of job satisfaction may be different from hospitality managers and frontline employees. This study compared the different antecedents of job satisfaction for housekeeping managers and employees.

Design/methodology/approach

This study used a mixed-methods approach for a two-part study. The researchers recruited housekeeping managers for the exploratory survey. The results of open-end questions helped us build a custom dictionary for the text mining of comments from Glassdoor.com. Finally, a multilinear regression of themes from housekeeping employees’ ratings on Glassdoor.com was conducted to understand the antecedents of job satisfaction for housekeeping managers and employees.

Findings

The results of the exploratory survey indicated that the housekeeping department has an urgent need for organizational support and training. The text-mining revealed organizational support impacts both managers and frontline employees, while training impacts managers more than employees. Finally, the regression analysis showed compensation, business outlook, senior management, and career opportunity impacted both groups. However, work-life balance only influenced managers.

Originality/value

With a large number of employees at low salaries, housekeeping departments have a higher-than-average turnover rate for lodging. This study is among the first to compare the antecedents of managers’ and frontline employees’ job satisfaction in the housekeeping department, extending Social Exchange Theory. It provides suggestions for the housekeeping department to decrease turnover intentions.
How the Metaverse can add new layers of hospitality services: a perspective of senior industry practitioners
Authors: Ashton Mark , Filimonau Viachaslau , Tuomi Aarni
Published: May 2024

Purpose

Although virtual worlds, such as the Metaverse, can disrupt the hospitality sector, few empirical investigations have critically evaluated the scope and scale of this disruption from an industry perspective. This study aims to rectify this knowledge gap by exploring the opportunities and challenges of the Metaverse as seen by hospitality professionals.

Design/methodology/approach

This is a Delphi study conducted with UK-based senior hospitality industry practitioners experienced in designing and implementing digital innovations within their organisations.

Findings

The Metaverse is most likely to be adopted by hospitality organisations willing and able to take risks, such as large and/or chain-affiliated enterprises. The Metaverse will not replace traditional hospitality services but supplement and enhance them with new layers of service. The main applications are in the context of events and experiences. The Metaverse will also provide the “try before you buy” option, revealing the opportunities to design digital twins of physical businesses. Young and technology-savvy individuals are most likely to first adopt the Metaverse. The key challenges of the adoption are attributed to the technological unpreparedness of hospitality organisations; market immaturity; inflated customer expectations; a skills gap among hospitality employees; and regulatory issues. These challenges require the engagement of various stakeholders to create an operational and monitoring framework for hospitality organisations to embrace the Metaverse.

Practical implications

This study highlights how the Metaverse can disrupt the hospitality industry at the level of strategic planning and business operations.

Originality/value

To the best of the authors’ knowledge, this is one of the first empirical investigations of the potential of the Metaverse from the viewpoint of hospitality industry practitioners.
Routine dynamics and sociomateriality: insights into technological artifacts and their roles
Authors: Costa Júnior Júlio César da , Nascimento Leandro da Silva , Silva Magda Vanessa Souza da , Jerônimo Taciana de Barros
Published: May 2024

Purpose

This paper aims to discuss artifacts and how they influence the performative scheme of the routine and human agency. Artifacts emerge from a heterogeneous network of technical and social elements, which implies assuming that they strongly influence the performance of a routine and the organizing.

Design/methodology/approach

This essay starts from an established theoretical framework to develop reflections and propose that the artifacts entangle part of organizational knowledge and that the artifact's role is structured by their enactment in performing a routine, which gives them meaning and a sense of purpose.

Findings

The propositions contribute to theoretical and empirical advances by offering new insights for analysing the role of artifacts in routine dynamics. The main arguments presented are about (i) the existence of a potential role and a performed role for artifacts, (ii) that the artifacts' role evolves from knowledge and know-how embedded in routines and their actants and (iii) that artifacts are connected through networks of routines, and they embed a vast repertoire of knowledge and expertise.

Originality/value

Also, it proposes a fruitful research agenda based on the main reflections. Finally, the thoughts presented open a pandora's box to reflect on the intertwining between human and artifacts, not just in organizing but also in everyday social life.
Art galleries usage of artificial intelligence
Authors: Ratten Vanessa
Published: May 2024

Purpose

Recently there has been a surge in interest about the use of artificial intelligence in organisations with art galleries introducing new technological innovations that coincide with the digitalisation revolution. Virtual and immersive environments that are supported by social media and digital platforms are significantly changing customer experiences at art galleries. This is internationalising and making art gallery experiences more accessible thereby fostering the competitive advantage of art galleries.

Design/methodology/approach

Art gallery customers, stakeholders and managers are appreciating the use of artificial intelligence with resulting higher satisfaction rates. Building on competency and transformational entrepreneurship theory international art gallery managers were interviewed to understand the role of artificial intelligence in their organisations and the impact of internationalisation.

Findings

The data analysis revealed that the internationalisation of art galleries enabled artificial intelligence to transform in person and online visitor experience, work and marketing, and future art gallery development ideas. Results show that artificial intelligence is opening up new transformations derived from entrepreneurial behaviours.

Originality/value

Key managerial implications are that art gallery managers need to utilise their international networks in order to learn about artificial intelligence and other new technological innovation. Theoretical implications are that existing theory can be adapted to an art gallery and artificial intelligence context. Limitations and future research suggestions focus on the need to focus more on art galleries as cultural entities that are more likely to utilise new technology innovation such as artificial intelligence.
Firm disruption orientation and supply chain resilience: understanding mechanisms to mitigate disruption impact
Authors: Matas Jose , Perez Nieves , Ruiz Laura , Riquelme-Medina Marta
Published: May 2024

Purpose

This study aims to investigate the interplay between a proactive attitude towards disruptions – supply chain disruption orientation – and supply chain resilience, increasing our understanding of their influence on reducing the impact of supply chain disruptions within the B2B context.

Design/methodology/approach

As unexpected disruptions are closely related to a dynamic and changing perception of the environment, this research is framed under the dynamic capabilities lens, consistent with existing resilience literature. The authors used partial least squares-path modeling (PLS-PM) to empirically test the proposed research model using survey data from 216 firms.

Findings

Results show that a proactive approach to disruptions alone is insufficient in mitigating their negative impact. Instead, a firm’s disruption orientation plays a crucial role in boosting its resilience, which acts as a mediator, reducing the impact of disruptions.

Originality/value

This paper sheds light on the mechanisms by which firms can mitigate the effects of supply chain disruptions and offers insights into how certain capabilities are needed so that firms’ attitudes can effectively impact firm performance. This research thus suggests that dynamic capabilities, traditionally perceived as being enabled by other elements, act themselves as enablers. Consequently, they have the potential to translate strategic orientation or attitudes into tangible effects on performance, enriching our understanding of how firms combine their internal attitudes and capabilities to achieve sustained competitive advantage.
Corporate cash holding and firm’s performance in times of Ukraine war: a literature review and way forward
Authors: Kumar Neetu , Symss Jacqueline
Published: May 2024

Purpose

The purpose of the study is to examine factors influencing cash holding of firms during periods of crisis. In recent times, the level of cash holdings in firms has seen a steady rise across industries for diverse reasons. However, the need to study cash holding becomes even more compelling during geopolitical instability as it causes firms to hold greater cash reserves for precautionary reasons.

Design/methodology/approach

This paper systematically reviews literature from 1984 to 2024 by organising the findings thematically based on the relationship between corporate cash holdings (CCH) and firm performance in times of war. The paper used 47 research articles from the Scopus database and Google Scholar. Literature connected to CCH, firm performance and war times was explored. The title and abstract analysis were conducted using VOSviewer software. As a result, the predetermined body of literature was visualised, and six theme-based clusters were identified.

Findings

This paper systematically reviews empirical studies, categorising them into six theme-based groups. These clusters encompass CCH and Determinants, Optimal Cash Holding Levels, Cash Holding Adjustment Speed and Theory, Cash Holding and Firm Value, Cash Holding and Firm Performance, Cash Holding in the Context of the Ukraine War and the adaptive financial strategies of firms in response to economic conditions by using cash holding as a hedging instrument. Inflation prompts adjustments in cash-holding strategies at a macro level. During crises, lower interest rates lead to increased cash holdings. Various motives influence firms’ cash-to-assets ratios. According to the pecking order theory, geopolitical risk negatively affects cash holdings. Exposure to pandemics prompts an increase in cash reserves. War shocks have a profound impact on economies, markets and stability; hence, geographic diversification can reduce the need for precautionary cash. In times of uncertainty, the financial stress of firms can get elevated, and therefore, having a well-diversified geographical portfolio of a firm’s investments can aid in meeting any financially distressing situation.

Originality/value

The literature on CCH has been phenomenal. This paper attempts to structure the issues surrounding cash holding and firm performance in wartime, like the Ukraine war, using the VOSviewer software. This study endeavours to highlight the reasons for cash holding during crises and understand how cash holding affects firm performance. Finally, this paper also tries to comprehend whether cash holding helps as a hedging instrument in times of war.
Linking fear of missing out and psychological well-being: a multi-country study
Authors: Srivastava Shalini , Rishi Bikramjit , Belwal Rakesh
Published: May 2024

Purpose

This study aims to understand the association between the fear of missing out (FOMO) and its impact on psychological well-being (PWB). The mediating effect of anxiety and moderating effects of social media engagement (SME) and resilience on the association mentioned above are also examined.

Design/methodology/approach

The study used a mix of attachment theory and cognitive-motivational-relational theory to understand the hypothesized relationship using a diverse sample of international respondents from South Asia, South East Asia and the Middle East. The data from 612 respondents was collected using SurveyMonkey. The authors have used Hayes’ PROCESS Macro to test the hypothesised relationships.

Findings

The results revealed that anxiety acts as a mediator between FOMO and PWB, while SME and resilience act as moderators in reducing the impact of FOMO on anxiety and the impact of anxiety on PWB, respectively.

Originality/value

The work extends the existing theorization and points out the merits of using SME and resilience as moderators and anxiety as a mediator for understanding the association between FOMO and PWB.
Examining blockchain adoption determinants and supply chain performance: an empirical study in the logistics and supply chain management industry
Authors: Alkatheeri Hanan , Ahmad Syed Zamberi
Published: May 2024

Purpose

The purpose of this study is to explore the potential impact of blockchain technology on supply chain performance (SCP). This study further delves into the enablers of blockchain adoption (BA) in SCM and investigates both the direct and mediated effects of blockchain assimilation on garnering a competitive edge in the supply chain and bolstering innovation proficiency, ultimately enhancing SCP.

Design/methodology/approach

This study used a quantitative approach, leveraging partial least squares structural equation modelling. Empirical data were sourced from 500 validated data sets obtained through questionnaires.

Findings

The results indicate that technological readiness and knowledge sharing are key drivers for integrating blockchain into supply chains, with technology readiness displaying a substantially stronger influence. Furthermore, BA significantly enhances supply chain innovation capabilities (SCIC), competitive performance (CP) and overall supply chain efficiency. Notably, both SCIC and CP mediate and amplify the positive effects of blockchain on SCP, emphasising the vital role of innovation and competition in optimising the benefits of blockchain.

Originality/value

To the best of the authors’ knowledge, this study is the first to bridge the gap in the literature connecting SCM and blockchain. The established model augments the theoretical discourse on the SCM-blockchain, offering scholars a validated framework that can be adapted and built upon in future studies.
The support of internal communication during organizational change processes
Authors: Abrantes António Cunha Meneses , Bakenhus Maybritt , Ferreira Aristides Isidoro
Published: May 2024

Purpose

The literature on communication in change processes, although fundamental, appears to still be very fragmented. The purpose of this study is to provide an explanatory and integrated framework for the communication process in organizational change processes.

Design/methodology/approach

The authors conducted 22 semi-structured interviews with employees from 21 companies and 13 different sectors in Germany. The four-step Gioia inductive coding approach was adopted as the methodological approach of the current study.

Findings

A final research model reveals that the organizational change communication (OCC) process is marked by specific change-restraining forces associated with the fear of the unknown, habits and convenience. Results also suggest the importance of communication timing and factors that help shape the OCC process, namely the scope, contents and channels of the communication process. Finally, the current research highlights contextual variables of the OCC process, such as credibility or the level of honesty.

Originality/value

The importance of OCC, in particular the understanding of the scope, contents of the message and the channels of communication adopted in the change management process, are important variables in the complexity of change. The paper illustrates the intricacy of communication in change and reinforces the internal and external variables that help shape the OCC process, with implications for change agents and scholars.
How safe are 3D-printed skull models for neurosurgical simulation? Measurement of airborne particles and VOCs while burr hole drilling
Authors: Dissanayaka Nalinda , Alexander Hamish , Carluccio Danilo , Redmond Michael , Vandi Luigi-Jules , Novak James I.
Published: May 2024

Purpose

Three-dimensional (3D)printed skulls for neurosurgical training are increasingly being used due to the widespread access to 3D printing technology, their low cost and accuracy, as well as limitations and ethical concerns associated with using human cadavers. However, little is known about the risks of airborne particles or volatile organic compounds (VOCs) released while drilling into 3D-printed plastic models. The aim of this study is to assess the level of exposure to airborne contaminants while burr hole drilling.

Design/methodology/approach

3D-printed skull samples were produced using three different materials (polyethylene terephthalate glycol [PETG], white resin and BoneSTN) across three different 3D print processes (fused filament fabrication, stereolithography [SLA] and material jetting). A neurosurgeon performed extended burr hole drilling for 10 min on each sample. Spot measurements of particulate matter (PM2.5 and PM10) were recorded, and air samples were analysed for approximately 90 VOCs.

Findings

The particulate matter for PETG was found to be below the threshold value for respirable particles. However, the particulate matter for white resin and BoneSTN was found to be above the threshold value at PM10, which could be harmful for long periods of exposure without personal protective equipment (PPE). The VOC measurements for all materials were found to be below safety thresholds, and therefore not harmful.

Originality/value

To the best of the authors’ knowledge, this is the first study to evaluate the safety of 3D-printed materials for burr hole surgical drilling. It recommends PETG as a safe material requiring minimal respiratory control measures, whereas resin-based materials will require safety controls to deal with airborne particles.
Optimisation of printing parameters of fused filament fabrication and uniaxial compression failure analysis for four-point star-shaped structures
Authors: Wambua Job Maveke , Mwema Fredrick Madaraka , Akinlabi Stephen , Birkett Martin , Xu Ben , Woo Wai Lok , Taverne Mike , Ho Ying-Lung Daniel , Akinlabi Esther
Published: May 2024

Purpose

The purpose of this paper is to present an optimisation of four-point star-shaped structures produced through additive manufacturing (AM) polylactic acid (PLA). The study also aims to investigate the compression failure mechanism of the structure.

Design/methodology/approach

A Taguchi L9 orthogonal array design of the experiment is adopted in which the input parameters are resolution (0.06, 0.15 and 0.30 mm), print speed (60, 70 and 80 mm/s) and bed temperature (55°C, 60°C, 65°C). The response parameters considered were printing time, material usage, compression yield strength, compression modulus and dimensional stability. Empirical observations during compression tests were used to evaluate the load–response mechanism of the structures.

Findings

The printing resolution is the most significant input parameter. Material length is not influenced by the printing speed and bed temperature. The compression stress–strain curve exhibits elastic, plateau and densification regions. All the samples exhibit negative Poisson’s ratio values within the elastic and plateau regions. At the beginning of densification, the Poisson’s ratios change to positive values. The metamaterial printed at a resolution of 0.3 mm, 80 mm/s and 60°C exhibits the best mechanical properties (yield strength and modulus of 2.02 and 58.87 MPa, respectively). The failure of the structure occurs through bending and torsion of the unit cells.

Practical implications

The optimisation study is significant for decision-making during the 3D printing and the empirical failure model shall complement the existing techniques for the mechanical analysis of the metamaterials.

Originality/value

To the best of the authors’ knowledge, for the first time, a new empirical model, based on the uniaxial load response and “static truss concept”, for failure mechanisms of the unit cell is presented.
Physics‐reliable frugal local uncertainty analysis for full waveform inversion
Authors: Izzatullah Muhammad , Alali Abdullah , Ravasi Matteo , Alkhalifah Tariq
Published: May 2024

Full waveform inversion stands at the forefront of seismic imaging technologies, pivotal in retrieving high‐resolution subsurface velocity models. Its application is especially profound when imaging complex geologies such as salt bodies, which are regions notoriously challenging, yet essential given their hydrocarbon potential. However, with the power of full waveform inversion comes the intrinsic challenge of estimating the associated uncertainties. Such uncertainties are crucial in understanding the reliability of subsurface models, particularly in terrains like subsalt regions. Addressing this, we advocate for a nuanced approach employing the Stein variational gradient descent algorithm. Through a judicious use of a limited number of velocity model particles and the integration of random field‐based perturbations, our methodology provides a local representation of the uncertainties inherent in full waveform inversion. Our evaluations, based on the Marmousi model, showcase the robustness of the proposed technique. Yet, it is our exploration into salt‐intensive terrains, leveraging data from the Sigsbee 2A synthetic model and the Gulf of Mexico, that emphasizes the method's versatility. Findings indicate pronounced uncertainties along salt boundaries and in the deeper subsalt sediments, contrasting the minimal uncertainties in non‐salt terrains. However, anomalies like salt canyons present unique challenges, potentially due to the interplay of multi‐scattering effects. Emphasizing the scalability and cost‐effectiveness of this approach, we highlight its potential for large‐scale industrial applications in full waveform inversion, while also underscoring the necessity for prudence when integrating these uncertainty insights into subsequent seismic‐driven geological and reservoir modelling.
Experimental manipulation of food availability and macroparasite prevalence reveal differential effects on space use in wild rodents
Authors: Brandl Hanja B. , Abdu Salamatu , Farine Damien R.
Published: May 2024

Research Highlight: Mistrick, J., Veitch, J. S. M., Kitchen, S. M., Clague, S., Newman, B. C., Hall, R. J., Budischak, S. A., Forbes, K. M., & Craft, M. E. (2024). Effects of food supplementation and helminth removal on space use and spatial overlap in wild rodent populations. Journal of Animal Ecology. http://doi.org/10.1111/1365‐2656.14067. The spread of pathogens has been of long‐standing interest, even before dramatic outbreaks of avian influenza and the coronavirus pandemic spiked broad public interest. However, the dynamics of pathogen spread in wild populations are complex, with multiple effects shaping where animals go (their space use), population density and, more fundamentally, the resultant patterns of contacts (direct or indirect) among individuals. Thus, experimental studies exploring the dynamics of contact under different sets of conditions are needed. In the current field study, Mistrick et al. (2024) used a multifactorial experimental design, manipulating food availability and individual pathogen infection state in wild bank voles (Clethrionomys glareolus). They found that while food availability, individual traits and seasonality can affect how far individual voles moved, the degree of overlap between individual voles remained largely the same despite a high variation in population density—which itself was affected by food availability. These results highlight how biotic and abiotic factors can shape patterns of space use and balance the level of spatial overlap through multiple pathways.
Effects of component ratios on the properties of sweet potato–oat composite dough and the quality of its steamed cake
Authors: Wei Xinyu , Ren Guangyue , Liu Wenchao , Zhao Mengyue , Xu Duan
Published: May 2024

To enhance the value proposition of sweet potato and oat while broadening their applicability in further processing, this study systematically investigated the impact of oat flour incorporation ratios (5%–25% of sweet potato dry weight) on the quality attributes of sweet potato–oat composite dough and its resulting steamed cake products. The results showed that the addition of oat flour could promote the rheological, water retention, and thermomechanical properties of the composite dough and improve the internal microstructure, specific volume, texture, and other processing properties of the steamed cake products. The rheology, water retention, and protein stability of the dough were maximized when the proportion of oat flour was 25%. The textural properties of steamed cakes, hardness, elasticity, cohesion, adhesion, chewiness, and recovery significantly increased (p < 0.05) and viscosity significantly decreased (p < 0.05) with the addition of oat flour. It is noteworthy that thermodynamic properties, internal structure of the dough, and air holding capacity, which are critical for processing, showed the best results at 20% oat flour addition. Therefore, the addition of 20%–25% oats is recommended to produce composite doughs with optimal quality and processing characteristics.

Practical Application

As living standards improve, traditional cereals may no longer able to meet people's health needs. Therefore, there is an urgent consumer demand for nutritious, tasty alternatives to staple foods. In this study, oat flour and sweet potato mash were mixed to make sweet potato–oat cake, and the effect of ingredient ratio on the performance and quality of composite dough containing sweet potato–oat flour was analyzed, thus proposing an innovative approach to the research, development, and industrial production of sweet potato and oat food products.
What do Australians affected by cancer think about oncology researchers sharing research data? A cross‐sectional survey
Authors: Hamilton Daniel G. , Everitt Sarah , Page Matthew J. , Fidler Fiona
Published: May 2024

Aim

Previous research has shown patients and the public in Australia generally support medical researchers in making de‐identified research data available to other scientists. However, this research has focussed on certain types of data and recipients. We surveyed Australians affected by cancer to characterize their attitudes toward the sharing of research data with multiple third parties, including the public.

Methods

A short, anonymous online survey of Australians with a previous diagnosis of cancer was advertised between October 27, 2022, and February 27, 2023. Quantitative responses were analyzed with descriptive statistics. Free‐text responses were coded deductively and summarised using content analysis.

Results

In total, 551 respondents contributed data to the survey. There was strong support for cancer researchers sharing non‐human and de‐identified human research data with clinicians (90% and 95%, respectively) and non‐profit researchers (both 94%). However, fewer participants supported sharing data with for‐profit researchers (both 64%) or publicly (both 61%). When asked if they would hypothetically consent to researchers at their treatment location using and sharing their de‐identified data publicly, only half agreed. In contrast, after being shown a visual representation of the de‐identified survey data, 80% of respondents supported sharing it publicly.

Conclusion

Australians affected by cancer support the sharing of research data, particularly with clinicians and non‐profit researchers. Our results also imply that visualization of the data to be shared may enhance support for making it publicly available. These results should help alleviate any concerns about research participants’ attitudes toward data sharing, as well as boost researchers’ motivation for sharing.
Exploring the therapeutic potential of allogeneic amniotic membrane for quality wound healing in rabbit model
Authors: BN Likhitha , Deshpande Aditya D. , Shukla Smriti , Emmanuel Rony S. , Singh Archita , Thirupathi Yasotha , Singh Vidya , Saikumar G. , Chandra Vikash , Sharma G. Taru
Published: May 2024

Background

The amniotic membrane (AM) has shown immense potential in repairing wounds due to its great regenerative qualities. Although the role of AM as a biological scaffold in repairing wounds has been studied well, the tissue regenerative potential of AM‐derived mesenchymal stem cells (MSCs) and conditioned media (CM) derived from it remains to be discovered as of now. Here, we examined the wound healing abilities of fresh and frozen thawed rabbit AM (rAM) along with the MSCs and their lyophilised CM in rabbits challenged with skin wounds.

Methods

To elucidate the role of rAM‐MSCs and its CM in repairing the wound, we isolated it from the freshly derived placenta and characterised their differentiation potential by performing an in vitro tri‐lineage differentiation assay besides other standard confirmations. We compared the wound repair capacities of rAM‐MSCs and lyophilised CM with the fresh and cryopreserved AM at different timelines by applying them to excision wounds created in rabbits.

Results

By monitoring wound contractions and tissue histology of wounded skin at different time points after the application, we observed that rAM‐MSCs and rAM‐MSC‐derived CM significantly promoted wound closure compared to the control group. We also observed that the wound closure capacity of rAM‐MSCs and rAM‐MSC‐derived CM is as efficient as fresh and cryopreserved rAM.

Conclusion

Our findings suggest that rAM‐MSCs and rAM‐MSC derived CM can be effectively used to treat skin wounds in animals and correctly delivered to the damaged tissue using AM as a bioscaffold, either fresh or frozen.
Whitlam's Economic (Inter)Nationalism
Authors: Huf Ben
Published: May 2024

By his own admission, Australian Prime Minister Gough Whitlam was not much of an economist, a disclosure that has fuelled criticisms of his government's performance during the economic crises of the 1970s. By contrast, Whitlam was a self‐declared internationalist who promoted the domestic and global possibilities of the international system. Of course, twentieth‐century economics and internationalism were mutual rather than dichotomous. Accordingly, Whitlam's internationalism provides a vantage point to re‐evaluate his economics. This article focusses on how one strand of Whitlam's internationalism — his Third World sympathies and alignments — informed his government's resource policy, as designed by Minister for Minerals and Energy, Rex Connor. Rather than seeking to redeem Whitlam's economic credentials via this internationalism, however, I argue Whitlam's appeal to Third Worldism sought to infuse an anti‐economics — or, more precisely, a critique of mainstream economic thinking — into Australian resources policy. The legacies of this critique have been enduring. Whitlam and Connor's attempts to establish export controls, foreign investment regulations, and state‐owned enterprise galvanised a fierce backlash from miners and libertarian economists. This backlash has helped shape the neoliberal framing of Australian mining and energy policy over the past 40 years. At the same time, with climate change and energy transitions again illuminating the politics of natural resources, Whitlam's Third World critique remains salient.
Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R
Authors: Lyu Ziyang , Ahfock Daniel , Thompson Ryan , McLachlan Geoffrey J.
Published: May 2024

Semi‐supervised learning is being extensively applied to estimate classifiers from training data in which not all the labels of the feature vectors are available. We present gmmsslm, an R package for estimating the Bayes' classifier from such partially classified data in the case where the feature vector has a multivariate Gaussian (normal) distribution in each of the pre‐defined classes. Our package implements a recently proposed Gaussian mixture modelling framework that incorporates a missingness mechanism for the missing labels in which the probability of a missing label is represented via a logistic model with covariates that depend on the entropy of the feature vector. Under this framework, it has been shown that the accuracy of the Bayes' classifier formed from the Gaussian mixture model fitted to the partially classified training data can even have lower error rate than if it were estimated from the sample completely classified. This result was established in the particular case of two Gaussian classes with a common covariance matrix. Here we focus on the effective implementation of an algorithm for multiple Gaussian classes with arbitrary covariance matrices. A strategy for initialising the algorithm is discussed and illustrated. The new package is demonstrated on some real data.
Adaptation or transformation? A system‐justification perspective on pro‐environmental beliefs and behaviors
Authors: Suchier Johann , Demarque Christophe , Girandola Fabien
Published: May 2024

Despite the need for profound systemic change to deal with environmental issues, this is not happening. At a psycho‐sociological level, System Justification Theory has mostly explained environmental inaction by greater environmental denial on the part of individuals motivated to justify the economic system. In this article, and in line with research in political science and sociology, we propose to also take into account the existence of different beliefs concerning the social change needed to deal with environmental problems. While some do advocate for profound transformations of current socio‐economic systems, others propose to maintain and adapt them. Moreover, these beliefs have different implications in terms of the pro‐environmental behaviors (PEBs) to be adopted by individuals. We therefore hypothesized that, independently of environmental denial, individuals who justify the economic system would adhere more to adaptation beliefs (e.g., individualization of responsibility) and reject transformation beliefs (e.g., incompatibility between economic growth and environmental preservation); and that these beliefs would mediate the effects of system‐justification on PEBs depending on whether or not they challenge the economic system. A correlational study (N = 277) corroborated our hypotheses. The importance of taking into account the system‐challenging (or not) nature of some pro‐environmental beliefs and behaviors is discussed.
Self‐reported and accelerometry measures of sleep components in adolescents living in Pacific Island countries and territories: Exploring the role of sociocultural background
Authors: Wattelez Guillaume , Amon Krestina L. , Forsyth Rowena , Frayon Stéphane , Nedjar‐Guerre Akila , Caillaud Corinne , Galy Olivier
Published: May 2024

Objectives

The objective of this study is to assess the concordance and its association with sociocultural background of a four‐question survey with accelerometry in a multiethnic adolescent population, regarding sleep components. Based on questions from the Pittsburgh Sleep Quality Index and adapted to a school context, the questionnaire focussed on estimating sleep onset time, wake‐up time and sleep duration on both weekdays and weekends. This subjective survey was compared with accelerometry data while also considering the influence of sociocultural factors (sex, place of living, ethnic community and socio‐economic status).

Methods

Adolescents aged 10.5–16 years (n = 182) in New Caledonia completed the survey and wore an accelerometer for seven consecutive days. Accelerometry was used to determine sleep onset and wake‐up time using validated algorithms. Based on response comparison, Bland–Altman plots provided agreement between subjective answers and objective measures. We categorized participants' answers to the survey into underestimated, aligned and overestimated categories based on time discrepancies with accelerometry data. Multinomial regressions highlighted the sociocultural factors associated with discrepancies.

Results

Concordance between the accelerometer and self‐reported assessments was low particularly during weekends (18%, 26% and 19% aligned for onset sleep time, wake‐up time and sleep duration respectively) compared with weekdays (36%, 53% and 31% aligned, respectively). This means that the overall concordance was less than 30%. When considering the sociocultural factors, only place of living was associated with discrepancies in onset sleep time and wake‐up time primarily on weekdays. Rural adolescents were more likely to overestimate both onset sleep time (B = −1.97, p < 0.001) and wake‐up time (B = −1.69, p = 0.003).

Conclusions

The study found low concordance between self‐assessment and accelerometry outputs for sleep components. This was particularly low for weekend days and for participants living in rural areas. While the adapted four‐item questionnaire was useful and easy to complete, caution should be taken when making conclusions about sleep habits based solely on this measurement.