bluuebunny/crossref_metadata_2025 huggingface dataset:
Radiative lifetime of the
A

Π1/22
state in RaF with relevance to laser cooling
Authors: Athanasakis-Kaklamanakis M. , Wilkins S. G. , Lassègues P. , Lalanne L. , Reilly J. R. , Ahmad O. , Au M. , Bai S. W. , Berbalk J. , Bernerd C. , Borschevsky A. , Breier A. A. , Chrysalidis K. , Cocolios T. E. , de Groote R. P. , Fajardo-Zambrano C. M. , Flanagan K. T. , Franchoo S. , Ruiz R. F. Garcia , Hanstorp D. , Heinke R. , Imgram P. , Koszorús Á. , Kyuberis A. A. , Lim J. , Liu Y. C. , Lynch K. M. , McGlone A. , Mei W. C. , Neyens G. , Nies L. , Oleynichenko A. V. , Raggio A. , Rothe S. , Skripnikov L. V. , Smets E. , van den Borne B. , Warbinek J. , Wessolek J. , Yang X. F.
Published: July 2024

The radiative lifetime of the AΠ1/22 (v=0) state in radium monofluoride (RaF) is measured to be 35(1) ns. The lifetime of this state and the related decay rate Γ=2.86(8)×107 s−1 are of relevance to the laser cooling of RaF via the optically closed AΠ1/22←XΣ1/22 transition, which makes the molecule a promising probe to search for new physics. RaF is found to have a comparable photon-scattering rate to homoelectronic laser-coolable molecules. Owing to its highly diagonal Franck-Condon matrix, it is expected to scatter an order of magnitude more photons than other molecules when using just three cooling lasers, before it decays to a dark state. The lifetime measurement in RaF is benchmarked by measuring the lifetime of the 8P3/2 state in Fr to be 83(3) ns, in agreement with literature.

Published by the American Physical Society
2024
Emission dynamics of optically driven aluminum nitride quantum emitters
Authors: Guo Yanzhao , Hadden John P. , Clark Rachel N. , Bishop Samuel G. , Bennett Anthony J.
Published: July 2024

Aluminum nitride is a technologically important wide band-gap semiconductor which has been shown to host bright quantum emitters. We use photon emission correlation spectroscopy (PECS), time-resolved photoluminescence (TRPL), and state-population dynamic simulations to probe the dynamics of emission under continuous wave (CW) and pulsed optical excitation. We infer that there are at least four dark shelving states, which govern the TRPL, bunching, and saturation of the optical transition. We study in detail the emission dynamics of two quantum emitters (QEs) with differing power-dependent shelving processes, hypothesized to result from charge ionization and recombination. These results demonstrate that photon bunching caused by shelving the system in a dark state inherently limits the saturation rate of the photon source. In emitters where increasing optical power deshelves the dark states, we observe an increased photon emission intensity.

Published by the American Physical Society
2024
Comment on “Towards exact solutions for the superconducting
Tc
induced by electron-phonon interaction”
Authors: Palle Grgur
Published: July 2024

In a series of recent papers starting with , Liu, Yang, Pan claim to have determined the exact dressed electron-boson vertex for a number of very general interacting many-body problems by inverting certain Ward-Takahashi identities. Here, we point out that their Ward-Takahashi identities are missing terms which make the inversion of the identities impossible. One therefore cannot formulate exact self-contained integral equations for the dressed electron propagator. In addition, the proposed vertex expressions do not reproduce well-established results for the leading perturbative corrections.

Published by the American Physical Society
2024
Infrared-safe energy weighting does not guarantee small nonperturbative effects
Authors: Bright-Thonney Samuel , Nachman Benjamin , Thaler Jesse
Published: July 2024

Infrared and collinear (IRC) safety has long been used a proxy for robustness when developing new jet substructure observables. This guiding philosophy has been carried into the deep learning era, where IRC-safe neural networks have been used for many jet studies. For graph-based neural networks, the most straightforward way to achieve IRC safety is to weight particle inputs by their energies. However, energy-weighting by itself does not guarantee that perturbative calculations of machine-learned observables will enjoy small nonperturbative corrections. In this paper, we demonstrate the sensitivity of IRC-safe networks to nonperturbative effects, by training an energy flow network (EFN) to maximize its sensitivity to hadronization. We then show how to construct Lipschitz energy flow networks (L-EFNs), which are both IRC safe and relatively insensitive to nonperturbative corrections. We demonstrate the performance of L-EFNs on generated samples of quark and gluon jets, and showcase fascinating differences between the learned latent representations of EFNs and L-EFNs.

Published by the American Physical Society
2024
Pressure and speed of sound in two-flavor color-superconducting quark matter at next-to-leading order
Authors: Geißel Andreas , Gorda Tyler , Braun Jens
Published: July 2024

Deconfined quark matter at asymptotically high densities is weakly coupled, due to the asymptotic freedom of quantum chromodynamics. In this weak-coupling regime, bulk thermodynamic properties of quark matter, assuming a trivial ground state, are currently known to partial next-to-next-to-next-to-leading order. However, the ground state at high densities is expected to be a color superconductor, in which the excitation spectrum of (at least some) quarks exhibit a gap with a nonperturbative dependence on the strong coupling. In this work, we calculate the thermodynamic properties of color-superconducting quark matter at high densities and zero temperature at next-to-leading order (NLO) in the coupling in the presence of a finite gap. We work in the limit of two massless quark flavors, which corresponds to deconfined symmetric nuclear matter, and further assume that the gap is small compared to the quark chemical potential. In these limits, we find that the NLO corrections to the pressure and speed of sound are comparable in size to the leading-order effects of the gap, and further increase both quantities above their values for nonsuperconducting quark matter. We also provide a parametrization of the NLO speed of sound to guide phenomenology in the high-density region, and we furthermore comment on whether our findings should be expected to extend to the case of three-flavor quark matter of relevance to neutron stars.

Published by the American Physical Society
2024
Production and decay of hyperons in a transversely polarized electron-positron collider
Authors: Cao Xu , Liang Yu-Tie , Ping Rong-Gang
Published: July 2024

The self-polarization of relativistic electrons or positrons moving in a magnetic field at a storage ring occurs through the emission of spin-flip synchrotron radiation, known as the Sokolov-Ternov effect. The resulting transverse polarizations of the colliding electrons and positrons, away from the depolarization resonances, allow for precise investigation of the spin entangled hyperon-antihyperon pairs via virtual photon or charmonium decay. The feasibility study reveals a promising increase in the statistical sensitivity of the CP violation signal after considering the transverse polarizations of the lepton beams.

Published by the American Physical Society
2024
Scale invariant scotogenic model: CDF-II
W
-boson mass and the 95 GeV excesses
Authors: Ahriche Amine , Bellilet Mohamed Lamine , Khojali Mohammed Omer , Kumar Mukesh , Mulaudzi Anza-Tshildzi
Published: July 2024

The anomalies observed in the W mass measurements at the CDF-II experiments and the excesses seen around 95 GeV at the Large Hadron Collider (LHC) motivate this work, in which we investigate and constrain the parameter space of the Scale Invariant Scotogenic Model with a Majorana dark matter candidate. The scanned parameters are chosen to be consistent with the dark matter relic density and the observed excesses at ∼95  GeV signal strength rates in different channels. We found that significant part of the viable space addresses the excess in the channel γγ, while a tight part can address the excess in both γγ and bb¯ channels. Furthermore, the model’s viable parameters can be probed in both the LHC and future e+e− colliders for di-Higgs production.

Published by the American Physical Society
2024
Dark energy with the help of interacting dark sectors
Authors: Gomes Joaquim M. , Hardy Edward , Parameswaran Susha
Published: July 2024

We analyze theories that do not have a de Sitter vacuum and cannot lead to slow-roll quintessence, but which nevertheless support a transient era of accelerated cosmological expansion due to interactions between a scalar ϕ and either a hidden sector thermal bath, which evolves as dark radiation, or an extremely light component of dark matter. We show that simple models can explain the present-day dark energy of the Universe consistently with current observations. This is possible both when ϕ’s potential has a hilltop form and when it has a steep exponential runaway, as might naturally arise from string theory. We also discuss a related theory of multifield quintessence, in which ϕ is coupled to a sector that sources a subdominant component of dark energy, which overcomes many of the challenges of slow-roll quintessence.

Published by the American Physical Society
2024
First-order formalism for
β
functions in bosonic sigma models from supersymmetry breaking
Authors: Gamayun Oleksandr , Losev Andrei , Shifman Mikhail
Published: July 2024

We consider the renormalization group flow equation for the two-dimensional sigma models with the Kähler target space. The first-order formulation allows us to treat perturbations in these models as current-current deformations. We demonstrate, however, that the conventional first-order formalism misses certain anomalies in the measure, and should be amended. We reconcile beta functions obtained within the conformal perturbation theory for the current-current deformations with traditional “geometric” results obtained in the background field methods, in this way resolving the peculiarities pointed out in O. Gamayun [Peculiarities of beta functions in sigma models, ]. The result is achieved by the supersymmetric completion of the first-order sigma model.

Published by the American Physical Society
2024
Pair production in rotating electric fields via quantum kinetic equations: Resolving helicity states
Authors: Aleksandrov I. A. , Kudlis A.
Published: July 2024

We investigate the phenomenon of electron-positron pair production from vacuum in the presence of a strong electric field of circular polarization. By means of a nonperturbative approach based on the quantum kinetic equations (QKEs), we numerically calculate helicity-resolved momentum distributions of the particles produced and analyze the corresponding helicity asymmetry. It is demonstrated that the external rotating field tends to generate left-handed and right-handed particles traveling in opposite directions. Generic symmetry properties of the momentum spectra are examined analytically by means of the QKEs and also confirmed and illustrated by direct numerical computations. The helicity signatures revealed in our study are expected to provide a firmer basis for possible experimental investigations of the fundamental phenomenon of vacuum pair production in strong fields.

Published by the American Physical Society
2024
Carrollian supersymmetry and SYK-like models
Authors: Kasikci Oguzhan , Ozkan Mehmet , Pang Yi , Zorba Utku
Published: July 2024

This work challenges the conventional notion that in a spacetime dimension higher than one, a supersymmetric Lagrangian invariably consists of purely bosonic terms, purely fermionic terms, as well as boson-fermion mixing terms. By recasting a relativistic Lagrangian in terms of its nonrelativistic and ultrarelativistic sectors, we reveal that an ultrarelativistic (Carrollian) supersymmetric Lagrangian exhibits an exotic feature; that is, it can exist without a purely bosonic contribution. Based on this result, we demonstrate a link between higher-dimensional Carrollian and (0+1)-dimensional quantum mechanical models, yielding higher-order extensions of supersymmetric Sachdev-Ye-Kitaev (SYK) models in which purely bosonic higher-order terms are absent. Given that supersymmetry plays an essential role in improving the quantum behavior and solubility, our findings may lead to interesting applications in non-AdS holography.

Published by the American Physical Society
2024
Effectiveness of Weyl gravity in probing quantum corrections to AdS black holes
Authors: Ma Liang , Hu Peng-Ju , Pang Yi , Lü Hong
Published: July 2024

Computing leading higher curvature contributions to thermodynamic quantities of AdS black hole is drastically simplified once the higher curvature terms are expressed in terms of powers of Weyl tensor by applying proper field redefinitions, avoiding the usual complications caused by higher derivative Gibbons-Hawking-York term or surface counterterms. We establish the method by computing the Euclidean action of general rotating anti–de Sitter (AdS) black holes in five-dimensional quadratic curvature theories with or without supersymmetry and verifying the results numerically. Our result is the state of the art for charged rotating AdS black holes in five-dimensional minimal gauged supergravity including corrections from all three supersymmetric curvature squared terms. Our approach facilitates precision tests in the AdS/CFT correspondence and should be applicable in diverse dimensions.

Published by the American Physical Society
2024
Self-selection out of formal credit markets: evidence from rural Vietnam
Authors: Khuong Ninh Le
Published: July 2024

Purpose

This paper examines why farmers self-select out of formal credit markets even though they need external funds.

Design/methodology/approach

We use probit and Bayesian probit estimators to detect the determinants of self-selection behavior based on a primary dataset of 2,212 rice farmers in Vietnam. After that, we use the multinomial probit (MNP) and Bayesian MNP estimators to reveal the impact of relevant factors on the decision to self-select for farmers belonging to each self-selection category.

Findings

The probit and Bayesian probit estimators show that the decision to self-select depends on household head age, income per capita, farm size, whether or not to have relatives or friends working for banks, the number of previous borrowings, risks related to natural disasters, diseases, and rice price, and the number of banks with which the farmer has relationships. The MNP and Bayesian MNP estimators give further insights into the decision of farmers to self-select in that determinants of the self-selection behavior depend on the reasons to self-select. In concrete, farm size and the number of previous borrowings mitigate the self-selection of farmers who did not apply for loans due to having access to other preferred sources of credit. The self-selection of farmers not applying for loans because of unfavorable loan terms is conditional on household head age, farming experience, income, farm size, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with. Several factors, including education, income, the distance to the nearest bank, whether or not having relatives or friends working for banks, the number of previous borrowings, risks, and the number of banks the farmer has relationships with, affect the self-selection of farmers not applying for loans because of high borrowing costs. The self-selection of farmers not applying for loans because of complex application procedures depends on income and the number of previous borrowings. Finally, the household head’s age, gender, experience, income, farm size, the amount of trade credit granted, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with are the determinants of the self-selection of farmers not applying for loans because of a fear not being able to repay.

Practical implications

This paper fills the knowledge gap by investigating why farmers self-select out of formal credit markets. It provides evidence of how the farmers’ subjective perceptions of rural credit markets contribute to their self-selection.

Originality/value

This paper shows that demand-side constraints are also vital for farmers’ access to bank credit. Improving credit access via easing supply-side constraints may not increase credit uptake without addressing demand-side factors. Given that finding, it recommends policies to improve access to bank credit for farmers regarding the demand side.
Humanitarian supply chain resilience: does organizational flexibility matter?
Authors: Tetteh Francis Kamewor , Owusu Kwateng Kwame , Tani William
Published: July 2024

Purpose

The COVID-19 epidemic caused significant disruptions to numerous supply chains. In order to enhance the resilience of supply chains, Collaboration (CO), Information Alignment (IA), and Big Data Analytics Capability (BDAC) have emerged as contemporary strategies within the humanitarian context. This study was conducted to explore the mechanism via which the effect of BDAC, IA and CO on Humanitarian Supply Chain Resilience (HSCR) in the humanitarian space could be optimized through Organizational Flexibility (OF).

Design/methodology/approach

A model of six hypotheses was developed based on the Organizational Information Processing Theory (OIPT). Data from 127 supply chain managers in humanitarian organizations were used to test the hypotheses. The analysis employed both descriptive and inferential statistics using SPSS version 26 and Smart-PLS version 3.

Findings

The study revealed that BDAC, IA, and CO individually influence supply chain resilience in the humanitarian setting while OF did not moderate the relationship between BDAC, IA, CO, and HSCR.

Practical implications

It is essential that humanitarian stakeholders prioritize factors that could increase supply chain resilience by employing contemporary BDA technologies, effective information flow, and collaborative strategies to set up a robust humanitarian SC system that could help lessen the impact of disasters.

Originality/value

This presents interesting insights that advance theoretical debates on how CO, IA, and BDAC under varying levels of OF could influence SCR in the humanitarian context. The paper further offers some useful guidance to managers in relief organizations who desire to build resilient supply chains by leveraging BDAC, collaboration and information alignment. Finally, the paper may also provoke future humanitarian scholars to replicate the study using different approaches.
Frac-hits and connections of multi-well hydrofracturing fracture network involving the variable factors: well spacing, perforation cluster spacing and injection rate
Authors: Wang Yongliang , Li Liangchun , Liu Nana
Published: July 2024

Purpose

With the development of fracturing technology, the research of multi-well hydrofracturing becomes the key issue. Frac-hits in multi-well hydrofracturing has an important effect on fracture propagation and final production of fractured well; in the process of hydrofracturing, there are many implement parameters that can affect frac-hits, and previous studies in this area have not systematically targeted the influence of a single parameter on multi-well hydrofracturing. Therefore, it is of great significance to study the occurrence rule and influence of frac-hits for optimizing the design of fracturing wells.

Design/methodology/approach

Based on the proposed numerical models, the effects of different fracturing implement parameters (perforation cluster spacing, well spacing and injection rate) on frac-hits are compared in numerical cases. Through the analysis of fracture network, stress field and microseismic, the effects of different fracturing implement parameters on frac-hits and connections are compared.

Findings

The simulation results show that the effect of perforation cluster spacing and well spacing on frac-hits is greater than that of injection rate. Smaller well spacing makes it easier for fractures between adjacent wells to interact with each other, which increases the risk of frac-hits and reduces the risk of fracture connections. Smaller perforation cluster spacing results in larger individual fracture lengths and greater deflection angles, which makes the possibility of frac-hits and connections greater. The lower the injection rate, the lower the probability of frac-hits.

Originality/value

In this study, the influence of different fracturing implement parameters on frac-hits and connections in multi-well hydrofracturing is studied, and the mechanism of frac-hits and connections is analyzed through fracture network, stress field and microseismic analysis. Different simulation results are compared to optimize fracturing well parameter design and provide reference for engineering application.
Sources of information and the influence of misinformation on COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: evidences from Dar es Salaam and Dodoma
Authors: Masele Juma James , Daud Elia
Published: July 2024

Purpose

This study aims to assess the sources of COVID-19 information respondents relied for COVID-19 pandemic information access and use, forms of misinformation and their influence on COVID-19 vaccine uptake hesitancy among frontline workers.

Design/methodology/approach

A Google Form developed questionnaire, distributed conveniently through link shared through WhatsApp groups was used to collect data from frontline workers from Dar es Salaam and Dodoma cities. Analysis was done using a binary regression analysis.

Findings

It was found that it was not the source that mattered for one to be hesitancy or not on COVID-19 vaccination, but the extent to which the information the source channels was manipulated or false.

Research limitations/implications

Relying only Google Form questionnaire sent through a link on WhatsApp may have compromised the quality of information gathered and the quality of conclusion. Another study may have conducted through researcher administered questionnaire to a bigger sample to increase conclusion reliability and validity.

Practical implications

This study urges that to increase the COVID-19 vaccine uptake, it is important to ensure that the quality of information from the revealed dependable sources is checked to avoid possible consequential disquiet resulting from misinformation.

Originality/value

As the world is striving toward combating the COVID-19 or at least lessening its effects, this paper is of its own kind, using the theory of informative fictions to guide the assessment of the sources of information and the extent to which they influence misinformation on COVID-19 vaccine uptake hesitancy.
An integrative research framework to investigate factors influencing citizen’s intention to adopt e-health applications: post-COVID-19 perspective
Authors: Alnaser Firas , Rahi Samar , Alghizzawi Mahmoud , Ngah Abdul Hafaz
Published: July 2024

Purpose

The use of e-health applications has remained popular during pandemic for medical treatments. Nevertheless, adoption of e-health applications among individuals is considerably low in post-COVID-19 world. To address this issue, the current research integrates three renowned theories, namely unified theory of acceptance and use of technology model, diffusion of innovation and DeLone and McLean model and investigates individual intention to adopt e-health application.

Design/methodology/approach

Research design is grounded in quantitative and cross-sectional methods and uses a survey questionnaire. Survey questionnaire is administered toward smartphone users. Overall, 238 valid responses were analyzed with structural equation modeling approach.

Findings

Results indicate that altogether performance expectancy, effort expectancy, information quality, system quality, service quality, facilitating condition and social influence explained substantial variance (R2 = 76.5%) in user intention to adopt e-health applications. Similarly, effect size analysis has revealed substantial impact of social influence on user intention to adopt e-health applications. Geiser and Stone’s Q2 analysis discloses that research model has substantial power to predict user intention to adopt e-health applications.

Practical implications

This study integrates three known information system models to investigate individual behavior toward adoption of e-health applications. In practice, it suggests that managers should pay attention in improving performance expectancy, social influence, facilitating condition, system quality, service quality and information quality which develop positive behavior and encourage smartphone users to adopt e-health applications.

Originality/value

This study is original as it integrates three models and investigates individual intention to adopt e-health applications. To the best of the author’s knowledge, this is the first study to test the moderating impact of patient health value between user intention to adopt and actual use of e-health applications. It has established that compatibility and innovativeness are essential antecedents of performance and effort expectancy and hence make this research more unique and valuable.
Competitive dynamics in a multi-sided mobile payment platform market: an agent-based modeling perspective
Authors: Zaffar Muhammad Adeel , Kumar Ram , Zhao Kexin
Published: July 2024

Purpose

The purpose of this research is to develop a comprehensive model to better understand competitive dynamics between mobile payment providers in a multi-sided market featuring customers and merchants. This is undertaken by modeling customers performing financial transactions with merchants while two mobile payment systems (MPS) providers deploy different strategies to compete for market share.

Design/methodology/approach

The authors developed an agent-based simulation model using the NetLogo environment. The simulation featured two competing platform providers, 1,000 customer agents and 50 merchant agents. Past research, interviews and surveys were conducted to accurately model the behavior of the agents. Each simulation run lasted for 50 time periods. A total of 1,024 experimental conditions were designed to model different competitive environments, and 50 replications were conducted for a total of 51,200 experiments.

Findings

The simulation model provides insight into MPS platform providers’ competitive strategies by simultaneously modelling socioeconomic interactions between customers, merchants and MPS.

Research limitations/implications

From a methodological perspective, the paper contributes a comprehensive model that can be used to study competitive dynamics between competing platforms in a multi-sided market. From the perspective of competitive strategies, the results show that pricing alone is not sufficient to influence MPS diffusion. Interactions between pricing, customers’ risk perception, perceived security and ease of use of the platform create unexpected same-side and cross-side network effects, which affect MPS diffusion.

Practical implications

While pricing remains a crucial lever for MPS to compete for market share, they should focus on enhancing customers’ and merchants’ trust and reduce their risk perception. This can be done through the improvement of the user experience of their platform, development of educational materials and marketing campaigns that address concerns around security, data breaches and perceived risk.

Originality/value

The paper is a direct response to a recent call for action on studying competition between MPS platforms by simultaneously modelling the socio-economic behavior of heterogeneous consumers and merchants. The proposed agent-based simulation model can be used to provide insights into competitive strategies and as a building block for subsequent research in this area.
Money and values in couples: a cross-welfare system comparison of gender values
Authors: Jimenez-Rodriguez Olga , Requena Felix
Published: July 2024

Purpose

Money management practices among couples from 27 countries were studied to understand how they reflect egalitarian values. The welfare system was used as a classification criterion, to account for the distinct socio-political contexts in which couple relationships are formed.

Design/methodology/approach

The data are sourced from the 2012 Survey on Family and Changing Gender Roles of the International Social Survey Programme. The analytical strategy used has been binary logistic regression.

Findings

The results demonstrate that participation of the woman in the household economy and financial decision-making indicates higher levels of egalitarian values in the couple. Couples who distinguish between a common fund and individual funds demonstrate more egalitarian values than those who have only a common fund. Besides, symmetry in the couple in terms of the income level of each partner increased the probability of having more egalitarian values. Greater equality was found among couples who resided in countries with a Mediterranean welfare system.

Originality/value

The paper makes an original contribution to the field of sociology and social policy by focus on couples' money management and improve understanding of the finance-well-being nexus.
Threshold inflation and relative price variability – a proposal for inflation targeting in Lebanon
Authors: Rather Sartaj Rasool , Abosedra Salah
Published: July 2024

Purpose

The study investigates the impact of inflation on the variability of relative prices in the context of Lebanon.

Design/methodology/approach

Unlike the traditional method, which relies on the variance of cross-sectional price changes measured at specific points in time to gauge the variability in relative prices, we employ a more appropriate approach. Under this approach, we capture the dispersion in relative prices by estimating how widely (or closely) a set of commodity prices drift apart over a span of time, offering a more comprehensive assessment. Firstly, we employ Johansen’s cointegration test on rolling subsamples to determine the number of statistically significant cointegrating vectors among the prices of 12 major commodity groups. Under this approach, an increase in the number of significant cointegrating vectors indicates a reduction in relative price variability, while a decrease suggests the opposite. Subsequently, we employ ordinary least squares regression to analyze how the fluctuations in inflation affect the variability in relative prices. The sample period ranges from December 2007 to April 2021.

Findings

The empirical results indicate that there exists a certain threshold inflation rate corresponding to which the variability in relative prices is minimized. More importantly, consistent with the theoretical predictions, the results suggest that it is not inflation per se, but the deviation of inflation from the 3% threshold level in either direction that causes higher dispersion in relative prices.

Research limitations/implications

The empirical findings from this study have crucial implications for the operation of monetary and fiscal policy. In particular, these findings suggest that stabilizing long-term inflation around a certain threshold rate will not only help to anchor inflation expectations effectively but will also minimize the welfare costs associated with inflation.

Originality/value

Given the rising inflationary pressure in the recent past and its welfare costs, the study assumes crucial importance in understating how fluctuations in inflation distort the relative price structure and eventually cause resource misallocations and economic inefficiency.
Igniting a knowledge renaissance: revolutionising entrepreneurial ecosystems with transactive memory systems
Authors: Mohammadparst Tabas Abdollah , Kansheba Jonathan Mukiza , Theodoraki Christina
Published: July 2024

Purpose

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

Design/methodology/approach

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

Findings

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

Originality/value

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.
Leveraging consumer chronic time pressure and time management to improve retail venue outcomes
Authors: Elmashhara Maher Georges , Soares Ana Maria
Published: July 2024

Purpose

Consumer choices are influenced by available resources, and time is increasingly recognised as a valuable and scarce resource. This study aims to assess the effect of chronic time pressure (CTP) on the desire to stay in retail venues (DTS), considering the mediating role of utilitarian and hedonic shopping motivations and the moderating role of time management (TM); and examine the role of DTS in enhancing the shopping outcomes of satisfaction, patronage intentions and positive word-of-mouth (WOM).

Design/methodology/approach

Two survey-based studies were conducted, employing structural equation modelling (SEM) and Hayes’ PROCESS Model No. 1 to test the proposed model.

Findings

The findings indicate that CTP does not have a direct impact on shopping utilitarian motivations or DTS. However, it has a direct effect on hedonic motivations that mediate the path from CTP to DTS. In addition, TM positively moderates both paths from CTP and hedonic motivations to DTS. Finally, the results demonstrate that reinforcing shopper DTS leads to increased satisfaction, patronage intentions and positive WOM.

Research limitations/implications

Based on the findings, theoretical contributions and actionable managerial implications regarding how to leverage CTP and TM to enhance shopper engagement and retail venue outcomes are discussed.

Originality/value

While prior research has often focused on situational time pressure, this study concentrates on CTP and examines the impact of perceived time constraints and feeling rushed on utilitarian and hedonic shopping motivations and DTS. Moreover, the study tests the moderating role of TM and provides evidence that DTS leads to other desirable shopping outcomes.
Developing a local behaviour change intervention for increased biowaste sorting: a social marketing formative study
Authors: Temmerman Laura , Veeckman Carina
Published: July 2024

Purpose

This paper aims to describe a case study of a formative study for the development of a social marketing campaign for increased biowaste sorting. In following the social marketing principles, it provides insights for practitioners willing to implement behaviour change interventions.

Design/methodology/approach

The case study describes the scoping review, expert interviews, online survey and focus groups, which were integrated to comprehend the specificities of biowaste sorting in the South Suburbs of Athens. This mixed-method research design enabled a comprehensive understanding of biowaste sorting practices that would not have been attainable through a single method.

Findings

This study found that the “descriptive norm” and “perceived controllability” significantly influenced biowaste sorting. Differential challenges of at-home and out-of-home sorting were also identified. The demand for more information was also highlighted. The tailored intervention comprises of a mix of behavioural modelling, persuasive communication, education and enablement.

Originality/value

By concretely showcasing how the integration of multiple research methods through the application of social marketing principles can guide the design of a tailored behaviour change intervention, this paper offers an outline for informed decision-making and strategic planning in the realm of (environmental) behaviour change.
Predicting key ectotherm population mortality in response to dynamic marine heatwaves: A Bayesian‐enhanced thermal tolerance landscape approach
Authors: Vajedsamiei Jahangir , Warlo Niklas , Meier H. E. Markus , Melzner Frank
Published: July 2024

As climate change intensifies heatwaves, quantifying associated mortality within ectothermic populations is crucial for effective conservation. Thermal tolerance landscape (TTL) models are useful predictive tools that assume exponentially decreasing survival durations in individuals with increasing temperatures. This assumption has been validated through regression analyses on data from constant temperature experiments, primarily focusing on adult‐stage individuals. However, this approach does not allow for direct model validation with data from dynamic, real‐world heatwave events and overlooks early recruitment stage vulnerabilities.

This study aimed to address these gaps using the blue mussel Mytilus, a foundation species forming extensive reefs along temperate coasts, as a model organism. We monitored survival rates of mussels (juveniles and adults) under constant heatwave (CHW) conditions in a laboratory experiment and under dynamic heatwave (DHW) scenarios simulated in an outdoor mesocosm experiment. Post‐heatwaves, we also assessed recruitment rates within the mesocosms. TTL models were parametrised by employing Approximate Bayesian Computation with Sequential Monte Carlo (ABC‐SMC) on each dataset separately.

The parameter distributions were similar across both experiments, and the ABC‐SMC model predictions closely matched the observed survival declines, validating these models. In comparison, we found a lower predictive performance when using a Bayesian regression approach. Additionally, our best‐fit model predicted that warming across the non‐fatal DHW regimes would increase sublethal effects on mussels. The observed impact on the recruitment stage was more pronounced, with the recruitment rate following an exponential decay as sublethal effects increased. Our model projected minor (<4%) sublethal effects in adult mussels during the century's five warmest summer temperature regimes, corresponding to 0%–32% declines in recruitment rates.

Our research extends the TTL model validation, demonstrates the resilience of subtidal Baltic Mytilus to future extreme heatwaves and offers an approach to predict heatwave‐induced population mortalities, applicable to other species and sensitive systems.

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Phylogenetic relationships and plant life stage but not biogeographic history mediate priority effects of European grassland plants
Authors: Dieskau Julia , Hensen Isabell , Eisenhauer Nico , Gaberle Ingmar , Durka Walter , Lachmuth Susanne , Auge Harald
Published: July 2024

The timing and order of species arrival have been shown to be a significant factor in the assembly of biotic communities. Therefore, understanding priority effects, which refer to the impact of an early‐arriving species on a later‐arriving one, can help us better predict community assembly processes. However, little is known about the role of phylogenetic distance (PD) in priority effects and how they are mediated by the biogeographic history (BH) and the life stages (LSs) of interacting species.

To shed light on the role of PD in priority effects, we conducted a multispecies greenhouse experiment. We created 10 allopatric and 10 sympatric species pairs, representing a PD gradient between early‐ and late‐arriving species from 5 to 270 Myr in evolutionary history and tested the priority effect of early‐arriving species on the late‐arriving species at multiple LSs.

We found evidence of stronger competition between closely related species, as late‐arriving plants produced less above‐ground biomass when the PD was low. However, priority effects varied across the development of late‐arriving plants, as there were no effects on seedling emergence and survival, independent of PD. Regardless of PD, the pairs of allopatric and sympatric species did not differ in their responses.

Synthesis. While many studies have produced contradictory results regarding the effect of PD on plant–plant interactions, our study provides experimental evidence that priority effects can be stronger when PD is small. This effect was independent of BH but varied across different LSs of late‐arriving plants. The dependence of the effect of PD on the LS of late‐arriving species highlights the importance of the timing of interactions for the assembly of plant communities, which could also have significant implications for the fields of invasion and restoration ecology.
Sexual dimorphism of pelvic scarring: A new method of adult biological sex estimation
Authors: Ives Georgina , Johns Sarah E. , Deter Chris
Published: July 2024

Estimating biological sex is a crucial aspect of forensic anthropology, and is pivotal in forensic investigations. Presently, the most frequently adopted osteological sex estimation methods focus on the anterior pelvis, which is easily susceptible to postmortem damage, revealing a need for additional accurate methods. This study introduces a novel method for estimating adult sex through metric pelvic scar analysis, using a known skeletal sample (169 females; 51 males). Relationships between sex and scar dimensions were subjected to Kendall's tau‐B testing, and the strongest associated measurements were further analyzed using binary logistic regression to determine their predictive capacity. The final estimation method was tested on an additional known‐sex sample of 43 males and 43 females from the Spitalfields skeletal collection. All associations between biological sex and scar measurements were significant, with the preauricular sulcus and newly defined inferior interosseous cavity presenting the strongest relationships (τb 0.223–0.504). Individual regression models using the approximate volume of each feature predicted sex with over 80% accuracy, but when combined in a single regression model, the accuracy increased to an impressive 97.1%. When then applied to the validation sample, the final estimation model achieved an accuracy of 90.7%. These results highlight the high estimation accuracy achieved by simultaneously utilizing the approximate volume of the sulcus and the inferior cavity. This is not only highly accurate but also utilizes the sturdier posterior pelvis, making it a promising tool for forensic investigations and the wider field of osteology.
NLR, MLR, and PLR are adverse prognostic variables for sleeve lobectomy within non‐small cell lung cancer
Authors: Han Rui , Zhang Fan , Hong Qian , Visar Djaferi , Zhan Chang , Zhao Chenguang , Wang Fuquan , Zhang Sining , Li Fang , Li Jiagen , Mu Juwei
Published: July 2024

Background

The goal of the research was to examine the value of peripheral blood indicators in forecasting survival and recurrence among people suffering central‐type non‐small cell lung cancer (NSCLC) undergoing sleeve lobectomy (SL).

Methods

Clinical information was gathered from 146 individuals suffering from NSCLC who had SL at our facility between January 2014 and May 2023. Peripheral blood neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio (MLR), and platelet lymphocyte ratio (PLR) levels were determined by receiver operating characteristic (ROC) curve to establish the threshold points. Kaplan–Meier survival analysis was employed to evaluate the prognostic value of different groupings, and both univariate and multivariate Cox proportional hazards model (referred to as COX) were performed.

Results

The disease‐free survival (DFS) and overall survival (OS) cutoff values were carried out via ROC analysis. Kaplan–Meier survival analysis revealed notable differences in OS for NLR (≥2.196 vs. <2.196, p = 0.0009), MLR (≥0.2763 vs. <0.2763, p = 0.0018), and PLR (≥126.11 vs. <126.11, p = 0.0354). Similarly, significant differences in DFS were observed for NLR (≥3.010 vs. <3.010, p = 0.0005), MLR (≥0.2708 vs. <0.2708, p = 0.0046), and PLR (≥126.11 vs. <126.11, p = 0.0028). Univariate Cox analysis showed that NLR (hazard ratio [HR]: 2.469; 95% confidence interval [CI]: 1.416–4.306, p < 0.001), MLR (HR: 2.192, 95% CI: 1.319–3.643, p = 0.002) and PLR (HR: 1.696, 95% CI: 1.029–2.795, p = 0.038) were correlated alongside OS. Multivariate Cox analysis showed that NLR (HR: 2.036, 95% CI: 1.072–3.864, p = 0.030) was a separate OS risk variable. Additionally, the pN stage (HR: 3.163, 95% CI: 1.660–6.027, p < 0.001), NLR (HR: 2.530, 95% CI: 1.468–4.360, p < 0.001), MLR (HR: 2.229, 95% CI: 1.260–3.944, p = 0.006) and PLR (HR: 2.249, 95% CI: 1.300–3.889, p = 0.004) were connected to DFS. Multivariate Cox analysis showed that pN stage (HR: 3.098, 95% CI: 1.619–5.928, p < 0.001) was a separate DFS risk variable.

Conclusion

The study demonstrates that NLR, MLR, and PLR play a convenient and cost‐effective role in predicting survival and recurrence among individuals alongside central‐type NSCLC having SL.
Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4
Authors: Kern Felix B. , Wu Chien‐Te , Chao Zenas C.
Published: July 2024

Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language Alternative Uses Test (AUT). Using a crowdsourced evaluation method, we acquire ground truth data for 30 question items and test various GPT prompt designs. Our findings show that asking for multiple responses in a single prompt, using an ‘explain first, rate later’ design, is both cost‐effective and accurate (r = .62, .59 and .33 for novelty, feasibility and value, respectively). Moreover, our method offers comparable accuracy to existing methods in assessing novelty, without the need for training data. We also evaluate additional models such as GPT‐4 Turbo, GPT‐4 Omni and Claude 3.5 Sonnet. Comparable performance across these models demonstrates the universal applicability of our prompt design. Our results contribute a straightforward platform for instant AUT evaluation and provide valuable ground truth data for future methodological research.