bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulating heavy neutral leptons with general couplings at collider and fixed target experiments
Authors: Feng Jonathan L. , Hewitt Alec , Kling Felix , La Rocco Daniel 
Published: August 2024

Heavy neutral leptons (HNLs) are motivated by attempts to explain neutrino masses and dark matter. If their masses are in the MeV to several GeV range, HNLs are light enough to be copiously produced at collider and accelerator facilities, but also heavy enough to decay to visible particles on length scales that can be observed in particle detectors. Previous studies evaluating the sensitivities of experiments have often focused on simple but not particularly well-motivated models in which the HNL mixes with only one active neutrino flavor. In this work, we accurately simulate models for HNL masses between 100 MeV and 10 GeV and arbitrary couplings to e, μ, and τ leptons. We include over 150 HNL production channels and over 100 HNL decay modes, including all of the processes that can be dominant in some region of the general parameter space. The result is , a user-friendly, fast, and flexible library to compute the properties of HNL models. As examples, we implement to extend the package to evaluate the prospects for HNL discovery at forward LHC experiments. We present sensitivity reaches for FASER and FASER2 in five benchmark scenarios with coupling ratios |Ue|2∶|Uμ|2∶|Uτ|2=1∶0∶0, 0∶1∶0, 0∶0∶1, 0∶1∶1, and 1∶1∶1, where the latter two have not been studied previously. Comparing these to current constraints, we identify regions of parameter space with significant discovery prospects.

Published by the American Physical Society
2024
Edge-wave phase shifts versus normal-mode phase tilts in an Eady problem with a sloping boundary
Authors: Mak J. , Harnik N. , Heifetz E. , Kumar G. , Ong E. Q. Y. 
Published: August 2024

One mechanistic interpretation of baroclinic instability is that of mutual constructive interference of Rossby edge waves. The suppression of baroclinic instability over slopes has been widely established, where previous research argues that a sloping boundary modifies the properties of these Rossby edge waves, but does not provide a mechanistic explanation for the suppression that is valid over all parameter space. In the context of an Eady problem modified by the presence of a sloping boundary, we provide a mechanistic rationalization for baroclinic instability in the presence of slopes that is valid over all parameter space, via an equivalent formulation explicitly in terms of Rossby edge waves. We also highlight the differences between edge-wave phase shifts and normal-mode phase tilts, showing that the edge-wave phase shifts should be the ones that are mechanistically relevant, and normal-mode phase tilt is a potentially misleading quantity to use. Further, we present evidence that the edge-wave phase shifts but not normal-mode phase tilts are well correlated with geometric quantities diagnosed from an analysis framework based on eddy variance ellipses. The result is noteworthy in that the geometric framework makes no explicit reference to the edge-wave structures in its construction, and the correlation suggests the geometric framework can be used in problems where edge-wave structures are not so well defined or readily available. Some implications for parametrization of baroclinic instability and relevant eddy-mean feedbacks are discussed. For completeness, we also provide an explicit demonstration that the linear instability problem of the present modified Eady problem is parity-time symmetric, and speculate about some suggestive links between parity-time symmetry, shear instability, and the edge-wave interaction mechanism.

Published by the American Physical Society
2024
Maximal Anderson localization and suppression of surface plasmons in two-dimensional random Au networks
Authors: Schultz J. , Hiekel K. , Potapov P. , Römer R. A. , Khavlyuk P. , Eychmüller A. , Lubk A. 
Published: August 2024

Two-dimensional random metal networks possess unique electrical and optical properties, such as almost total optical transparency and low sheet resistance, which are closely related to their disordered structure. Here we present a detailed experimental and theoretical investigation of their plasmonic properties, revealing Anderson (disorder-driven) localized surface plasmon resonances of very large quality factors and spatial localization close to the theoretical maximum, which couple to electromagnetic waves. Moreover, they disappear above a geometry-dependent threshold of approximately 1.7 eV in the investigated Au networks, explaining their large transparencies in the optical spectrum.

Published by the American Physical Society
2024
Visuality peaks, function lasts: an empirical investigation into the performance of iconic architecture on Instagram
Authors: Alaily-Mattar Nadia , Baptist Vincent , Legner Lukas , Arvanitakis Diane , Thierstein Alain 
Published: August 2024

PurposeThe purpose of this paper is twofold: first, to propose a methodology to empirically investigate the longitudinal development of social media content concerning buildings characterized by iconic architecture and second, to report on the application of this methodology.Design/methodology/approachWe collected and analyzed empirical data of social media content shared via Instagram between 2011 and 2019 on 16 buildings that can be considered iconic architecture projects. Using an automated pipeline, we collected and processed 264,000 posts and 140,000 images from Instagram for the selected case studies. By studying the posting activity of Instagram users through time series analysis and conducting content analysis of the social media posts by means of both image classification and topic modeling, we report on the development of users’ capturing and reception of the selected case studies on Instagram over time.FindingsFirst, we identify two distinct time patterns of social media content: instantly popular buildings whose popularity fades over time and buildings that gradually gain popularity over time. Second, we distinguish differences in the content of social media posts: some buildings are primarily covered for their architectural features and others for their cultural function and facilities.Originality/valueUsing empirical investigation of Instagram data on iconic architectural projects, we have identified a correlation: buildings primarily posted for their architecture are generally also the ones to gain instant online popularity that subsequently faded over time. In contrast, buildings primarily posted for their function and facilities slowly gained popularity on the social media platform over time.
A scale to assess organizational resilience for the oil and gas industry: testing and future perspectives
Authors: Rahi Khalil , Alghoush Mohamad , Halaby Roger 
Published: August 2024

PurposeAs part of the scale development process, this paper aims to test a scale to measure organizational resilience for the oil and gas industry. The objective is to provide stakeholders with a set of indicators to evaluate their organizations and prepare them to cope with the negative consequences of disruptions (e.g. Covid-19, shortage of resources, etc.).Design/methodology/approachThe paper conducts exploratory and confirmatory factor analysis to test the suitability, dimensionality and reliability of specific indicators and their items under examination. Therefore, the goal is not to validate hypotheses by testing an organizational resilience scale in the oil and gas industry.FindingsThe study tests and proposes a scale to effectively measure organizational resilience within the oil and gas industry. A comprehensive set of ten indicators and 40 items are identified through this process. The findings of this research provide stakeholders in this sector with a rigorous set of indicators to evaluate the strengths and weaknesses of their organizations and better prepare them to handle disruptions.Originality/valueThis paper fills the gap in existing research by testing and proposing a scale to measure organizational resilience specifically for the oil and gas industry. It highlights the importance of organizational resilience for survival in a sector that is especially susceptible to disruptions.
Promoting employees’ retention and functional presenteeism through well-being oriented human resource management practices: the mediating role of work meaningfulness
Authors: Mansour Sari 
Published: August 2024

Purpose Drawing upon the theoretical frameworks of conservation of resources and social exchange theories, this study investigates how perceived well-being-oriented human resource management (WBHRM) practices can boost job embeddedness, encourage functional presenteeism, and diminish intention to leave by cultivating a sense of purpose in the workplace.Design/methodology/approach Adopting a time-lagged design, data were collected from healthcare organizations in Canada at two distinct time points. Structural equation modeling and Bootstrap analysis were used to validate the research hypotheses.Findings The results revealed that perceived WBHRM practices directly enhanced work meaningfulness. Perceived WBHRM practices indirectly fostered sustainable presenteeism and job embeddedness and decreased intention to leave through work meaningfulness.Practical implications This study provides valuable insights for healthcare organizations aiming to boost nurse retention and attraction through sustainable HRM practices. By prioritizing employee well-being, growth and a positive workplace culture, organizations can create a fulfilling work environment that enhances job satisfaction and loyalty. Additionally, fostering functional presenteeism and a strong sense of work meaningfulness can improve both individual and organizational performance. This approach not only positions the organization as a top employer but also ensures long-term success.Social implications These findings support the United Nations Sustainable Development Goals of decent work (8 SDG) and good health and well-being (3 SDG).Originality/value This study makes a significant contribution to HRM literature by introducing the concept of work meaningfulness and highlighting its critical role in improving both individual and organizational outcomes. It uniquely examines the positive aspects of presenteeism, a relatively underexplored area. Furthermore, the study showcases how WBHRM practices can create a supportive environment for nurses, enabling them to balance health and performance while enhancing their sense of purpose, thus offering a novel perspective on sustainable HRM practices in healthcare.
Resilience! An intensifier for servant leadership? An employee engagement perspective
Authors: Goyal Richa , Sheoran Neha , Sharma Himani 
Published: August 2024

PurposeDrawing insights from the “Substitutes for Leadership” Theory, this study intends to examine the moderating role of resilience between servant leadership (SL) and employee engagement (EE). Particularly, relying on the issue that there are certain barriers, which hamper the effective execution of SL in the workplace, this study proposes to check that whether or not, resilience can intensify the effect of SL on EE.Design/methodology/approachA cross-sectional study was conducted on 241 employees working in the Indian Banking and Insurance (B&I) sector using the SPSS (v20), and the AMOS software (v21).FindingsThe study’s results revealed that SL is significantly related to EE. Also, this relationship is stronger for the employees who experience a high level of resilience, thus denoting that resilience works as a booster for SL.Research limitations/implicationsThis study has certain limitations like being cross-sectional in nature and covering only B&I sector employees.Practical implicationsSince resilience helps in intensifying the effect of SL on EE, the organizational HR managers should devote efforts to make their workforce resilient.Originality/valueThis paper is the first of its kind which empirically investigated the intensifying role of resilience for SL style.
Self-efficacy: implications for university employees' innovativeness
Authors: Namono Rehema , Hojops Odoch J.P. , Tanui Simon 
Published: August 2024

Purpose
The current diversity in organizations requires innovative employees to cope up with the dynamism. A burgeoning body of literature has established the antecedent role of self-efficacy in employee innovativeness. However, there is a dearth of knowledge regarding the influence of self-efficacy on the different types of innovative work behaviour. The purpose of this study was to establish the influence of self-efficacy on the different types of innovative work behaviour.

Design/methodology/approach
The study adopted an explanatory design to examine the hypothesized relationship between the study variables. Regression analysis was used to investigate the relationship between self-efficacy and different types of innovative work behaviour using a sample drawn from public universities in Uganda.

Findings
The study findings reveal that self-efficacy significantly influences the four types of innovative work behaviour. However, the magnitude of the influence is not uniform across the four types of innovative work behaviour. Idea implementation was highly influenced by self-efficacy, followed by generation of ideas. Championing and exploration are the least determinants of self-efficacy.

Originality/value
This research has both empirical and theoretical value. Empirically, to the best of the authors’ knowledge, this is the first study to show a direct relationship between self-efficacy and individual facets of innovative work behaviour in a public university setting in a developing nation like Uganda. Theoretically, the study expands on the applicability of the social cognitive theory by revealing that the influence of an individual's personality characteristics (such as self-efficacy) varies with the type of innovative work behaviour because the tasks involved in the various types of innovative work behaviour differ and are thus affected by self-efficacy differently. The study limitations and areas for further research are discussed.
A machine learning approach to predict classification of fans’ attitudes toward sponsors
Authors: Bian Junyi , Cork Benjamin Colin 
Published: August 2024

PurposeThis study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.Design/methodology/approachThis study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).FindingsThe RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.Originality/valueThis study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.
The effect of moral preferences on purchase intention toward unethical fashion companies’ products: the moderating role of collectivism and individualism
Authors: Lee Jihyun 
Published: August 2024

Purpose
This study aims to fill the gap between academia and reality by empirically confirming the effect of moral preferences on consumer responses (purchase intention) to fashion companies’ unethical activities. This study also explores the moderating effect of collectivism and individualism on the paths from moral preferences to purchase intention.

Design/methodology/approach
Respondents read a stimulus passage describing unethical activities of imaginary fashion brand A and the economic benefits of purchasing/using the brand's products. Then, they were asked to answer questions about homo moralis, homo economicus, individualism, collectivism and purchase intention.

Findings
Homo moralis significantly and negatively influenced respondents’ purchase intention. Homo economicus significantly and positively affected purchase intention. Collectivism further increased the negative influence of homo moralis on purchase intention. In contrast, individualism increased the positive effect of homo economicus on purchase intention.

Research limitations/implications
The scope of future research should include various products and explore variables that help consumers perceive that the ethical issues of the industry are deeply related to themselves. Studies should also examine the intention not to purchase products from unethical companies as an outcome variable. The economic aspect that responds to incentives affects purchase intention more strongly than the moral aspect of consumers, which helps explain the behavior of consumers who think of themselves as ethical but purchase products from unethical companies.

Originality/value
This study can help fashion companies establish strategies such as corporate social responsibility that will lead to a positive effect on consumers’ purchase intention.
The feeling of being together in the metaverse: the positive influence of copresence on subjective well-being
Authors: Kim Do Yuon , Choi Dooyoung , Yoon Namhee , Lee Ha Kyung 
Published: August 2024

PurposeThe synchronous interactivity in the metaverse afforded copresence, the feeling of being together with other users. Applying the flow theory, this study examines how copresence improves the subjective well-being of users through flow and escapism.Design/methodology/approachAn online self-administered survey of 212 US adults who are currently using metaverse platforms is conducted. The collected data are analyzed by SPSS 27.0 for descriptive statistics and reliability analysis. AMOS 27.0 is employed for the confirmatory factor analysis. The bootstrapping analysis via the PROCESS Macro is used to analyze the mediating and moderating effects.FindingsThe results find that copresence, flow, and escapism improve the subjective well-being of metaverse users. A serial mediation analysis reveals that the influence of copresence on subjective well-being is mediated by flow and escapism. Additionally, the impact of escapism on subjective well-being is moderated by self-expansion.Originality/valueThe findings contribute to the metaverse literature and the industry by highlighting the role of copresence in improving user experience and subjective well-being.
The environment for a digitally enabled circular plastics economy in Africa: lessons from cross-sectional stakeholder engagements
Authors: Oyinlola Muyiwa , Kolade Oluwaseun , Schröder Patrick , Odumuyiwa Victor , Rawn Barry , Wakunuma Kutoma , Sharifi Soroosh , Lendelvo Selma , Akanmu Ifeoluwa , Whitehead Timothy , Mtonga Radhia , Tijani Bosun , Abolfathi Soroush 
Published: August 2024

PurposeThis paper aims to provide insights into the environment needed for advancing a digitally enabled circular plastic economy in Africa. It explores important technical and social paradigms for the transition.Design/methodology/approachThis study adopted an interpretivist paradigm, drawing on thematic analysis on qualitative data from an inter-sectoral engagement with 69 circular economy stakeholders across the continent.FindingsThe results shows that, while substantial progress has been made with regard to the development and deployment of niche innovations in Africa, the overall progress of circular plastic economy is slowed due to relatively minimal changes at the regime levels as well as pressures from the exogenous landscape. The study highlights that regime changes are crucial for disrupting the entrenched linear plastic economy in developing countries, which is supported by significant sunk investment and corporate state capture.Research limitations/implicationsThe main limitation of this study is with the sample as it uses data collected from five countries. Therefore, while it offers a panoramic view of multi-level synergy of actors and sectors across African countries, it is limited in its scope and ability to illuminate country-specific nuances and peculiarities.Practical implicationsThe study underlines the importance of policy innovations and regulatory changes in order for technologies to have a meaningful contribution to the transition to a circular plastic economy.Originality/valueThe study makes an important theoretical contribution by using empirical evidence from various African regions to articulate the critical importance of the regime dimension in accelerating the circular economy transition in general, and the circular plastic economy in particular, in Africa.
The latest status of nitrogen saturation on Kureha Hill, Toyama, Japan, based on 20‐year observations
Authors: Takahashi Miyu , Kawakami Tomonori 
Published: August 2024

AbstractExcessive anthropogenic nitrogen fixation alters the nitrogen cycle and increases nitrogen deposition, leading to nitrogen saturation, which in turns leads to forest decline and nitrate leaching into stream waters. Kureha Hill in Toyama Prefecture, Japan, is considered to be in nitrogen saturation, since many streams have contained high concentrations of nitrate for more than 20 years. In this study, the latest status of nitrogen saturation was verified by comparing most recent data with 20 years observational data, focusing on various indicators of nitrogen saturation, such as stream water quality, nitrogen budget of the watershed, and soil nitrification and mineralization potential. Both the nitrogen deposition on the Hyakumakidani watershed on Kureha Hill and the amount of nitrate leaching to the stream tended to decrease. The reduction in nitrate leaching could be attributed to the reduction in nitrogen deposition and other factors, such as nitrogen pools in the soil. Despite the recent decline in nitrate concentration of the Hyakumakidani stream, the pH level has remained unchanged. This may be due to decreased concentrations of sulfate and acid neutralizing capacity (ANC). The C/N ratio of the soil ranged from 12 to 18 from 2000 to 2023, which was lower than the nitrogen saturation threshold of 25. The net nitrification rate and net mineralization rate showed no significant changes between 2002 and 2023, indicating that the potential to produce nitrate has been unchanged. Similar values in net nitrification and net nitrogen mineralization rates reflected that the Hyakumakidani watershed remained in Stage‐3 nitrogen saturation.