bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Classical-Quantum Limit
Authors: Layton Isaac , Oppenheim Jonathan 
Published: May 2024

The standard notion of a classical limit, represented schematically by ℏ→0, provides a method for approximating a quantum system by a classical one. In this work, we explain why the standard classical limit fails when applied to subsystems, and show how one may resolve this by explicitly modeling the decoherence of a subsystem by its environment. Denoting the decoherence time by τ, we demonstrate that a double scaling limit in which ℏ→0 and τ→0 such that the ratio Ef=ℏ/τ remains fixed leads to an irreversible open-system evolution with well-defined classical and quantum subsystems. The main technical result is showing that, for arbitrary Hamiltonians, the generators of partial versions of the Wigner, Husimi, and Glauber-Sudarshan quasiprobability distributions may all be mapped in the above-mentioned double scaling limit to the same completely positive classical-quantum generator. This provides a regime in which one can study effective and consistent classical-quantum dynamics.

Published by the American Physical Society
2024
Landing cushioning analysis of new generation heavy airborne armored vehicles
Authors: Lu Chaoyu , Chen Jinbao , Wang Chen , Song Zhicheng 
Published: May 2024

Purpose
The purpose of this study is to ensure the successful implementation of a landing cushion for the new generation armored vehicles with significantly enhanced quality. Furthermore, to introduce a high-precision landing cushioning analysis model.

Design/methodology/approach
To accurately analyze the cushioning performance of the new generation armored vehicles, a nonlinear finite element dynamics model considering the complex travel system was established. The model considered the influence of various nonlinear factors to measure the dynamic response difference between the proposed and traditional models. The cushioning performance of airbags under different landing conditions and their various influence factors were analyzed.

Findings
The travel system has a large influence on the key points of the vehicle, whose rear end of the upper deck has a larger acceleration fluctuation compared with the traditional model. The increase in the body material stiffness is helpful to reduce this fluctuation. The established nonlinear finite element model can effectively analyze the landing cushioning performance of airborne armored vehicles. The area of the external airbag vent has a large influence on the cushioning performance, and the cushioning system has excellent cushioning performance under various operating conditions.

Practical implications
This study introduces the travel system, which is ignored by traditional analytical models. The interactions between various types of complex structures are included in the analysis process in its entirety, leading to valuable new conclusions. Quantitatively reveals the analytical errors of traditional simulation models in multiple dimensions and the reasons for their formation. Based on a high-precision simulation model, it is verified that the designed airbag cushioning system has an excellent cushioning effect for the new generation of heavy airborne armored vehicles.

Originality/value
The novelty of this work comes from the need for smooth landing with low overload for a new type of large-load airborne armored vehicle and provides a high-precision model that quantifies the traditional analytical modeling errors and error principle.
Mapping accounting literature on climate finance: identifying research gaps and reflections on future research
Authors: de Aguiar Thereza Raquel Sales , Haque Shamima , McCann Laura 
Published: May 2024

Purpose
This study aims to investigate climate finance literature to understand whether and how research in this area is explored from an accounting perspective.

Design/methodology/approach
This study conducts a meta-analysis and narrative review of climate finance.

Findings
The issue of climate finance has received increasing attention in recent years because of international negotiations on climate change. The volume of literature examining climate finance has grown, particularly from a finance perspective. The literature analysed is diverse, using unique methodological and theoretical differences and providing insights into the effectiveness of policies and the impact of climate finance on capital markets, economic growth and the green economy. However, in spite of growing concerns regarding the accounting and reporting issues in climate finance, little attention has been paid to this topic from an accounting, accountability, audit or corporate disclosure perspective.

Originality/value
This study contributes to climate finance research by integrating insights from a dispersed and emerging body of literature by conducting meta-analysis and narrative review. Meta-analysis enables us to map the development of this specific literature and how it has changed over the years, whereas a narrative review serves as a basis for identifying research gaps and developing avenues for future research in accounting, accountability, audit and corporate disclosure.
A mixed-method study of parents’ views of food and nutrition in Australian primary schools
Authors: Aydin Gozde , Margerison Claire , Worsley Anthony , Booth Alison 
Published: May 2024

PurposeSchools have long been perceived as an ideal setting to support the healthy eating behaviours of children. The aim of the study was to examine the views of Australian primary school parents regarding school food and nutrition, including education, practices and policy.Design/methodology/approachAn online survey was conducted among 787 parents in March 2021, which included closed and open-ended questions.FindingsThe results indicated the inconsistent implementation of policies and/or varying practices among different schools. Parents’ views were slightly associated with some demographic and personal measures including their SES levels, education, age, the main language spoken at home and universalism values. Parents viewed healthy food provision through canteens, policies and informing parents, fruit and vegetable breaks and kitchen and garden programs as the main contributors to the promotion of healthy eating. They believed unhealthy options in canteens, school fairs, events and birthdays are the major contributors to the formation of unhealthy eating habits among children at schools. Results revealed the efforts to establish health promoting school food environments in Australian primary schools; however, inconsistencies and discrepancies among schools should be addressed to ensure equity among all children.Practical implicationsThe findings may provide directions for policymakers and school managers and can inform future reforms and initiatives in Australian primary schools and elsewhere.Originality/valueThis is the first study that has examined Australian parents’ views of school food policy, practices and environments using a mixed-methods design.
Entropy generation analysis of microrotating Casson’s nanofluid with Darcy–Forchheimer porous media using a neural computing based on Levenberg–Marquardt algorithm
Authors: Kumar Manjeet , Kaswan Pradeep , Kumari Manjeet 
Published: May 2024

Purpose
The purpose of this paper is to showcase the utilization of the magnetohydrodynamics-microrotating Casson’s nanofluid flow model (MHD-MRCNFM) in examining the impact of an inclined magnetic field within a porous medium on a nonlinear stretching plate. This investigation is conducted by using neural networking techniques, specifically using neural networks-backpropagated with the Levenberg–Marquardt scheme (NN-BLMS).

Design/methodology/approach
The initial nonlinear coupled PDEs system that represented the MRCNFM is transformed into an analogous nonlinear ODEs system by the adoption of similarity variables. The reference data set is created by varying important MHD-MRCNFM parameters using the renowned Lobatto IIIA solver. The numerical reference data are used in validation, testing and training sets to locate and analyze the estimated outcome of the created NN-LMA and its comparison with the corresponding reference solution. With mean squared error curves, error histogram analysis and a regression index, better performance is consistently demonstrated. Mu is a controller that controls the complete training process, and the NN-BLMS mainly concentrates on the higher precision of nonlinear systems.

Findings
The peculiar behavior of the appropriate physical parameters on nondimensional shapes is demonstrated and explored via sketches and tables. For escalating amounts of inclination angle and Brinkman number, a viable entropy profile is accomplished. The angular velocity curve grows as the rotation viscosity and surface condition factors rise. The dominance of friction-induced irreversibility is observed in the vicinity of the sheet, whereas in the farthest region, the situation is reversed with heat transfer playing a more significant role in causing irreversibilities.

Originality/value
To improve the efficiency of any thermodynamic system, it is essential to identify and track the sources of irreversible heat losses. Therefore, the authors analyze both flow phenomena and heat transport, with a particular focus on evaluating the generation of entropy within the system.
Cryptocurrency price fluctuation and time series analysis through candlestick pattern of bitcoin and ethereum using machine learning
Authors: Kapur Geeta , Manohar Sridhar , Mittal Amit , Jain Vishal , Trivedi Sonal 
Published: May 2024

PurposeCandlestick charts are a key tool for the technical analysis of cryptocurrency price fluctuations. It is essential to examine trends in the time series of a financial asset when completing an analysis. To accurately examine its potential future performance, it must also consider how it has changed and been active during the period. The researchers created cryptocurrency trading algorithms in this study based on the traditional candlestick pattern.Design/methodology/approachThe data includes information on Bitcoin prices from early 2012 until 2021. Only the engulfing Candlestick model was able to anticipate changes in the price movements of Bitcoin. The traditional Harami model does not work with Bitcoin trading platforms because it has yet to generate profitable business results. An inverted Harami is a successful cryptocurrency trading method.FindingsThe inverted Harami approach accounts for 6.98 profit factor (PrF) and 74–50% of profitable (Pr) transactions, which favors a particularly long position. Additionally, the study discovered that almost all analyzed candlestick patterns forecast longer trends greater than shorter trends.Research limitations/implicationsTo statistically study its future potential return, examining how it has changed and been active over the years is necessary. Such valuations are the basis for trading strategies that could help traders and investors in the cryptocurrency market. Without sacrificing clarity or ease of application, the proposed approach has increased performance by up to 32.5% of mean absolute error (MAE).Originality/valueThis study is novel in that it used multilayer autoregressive neural network (MARN) models with crypto-net (CNM) in machine learning to analyze a time series of financial cryptocurrencies. Here, the primary study deals with time trends extracted through a neural network model. Then, the developed model was tested using Bitcoin and Ethereum. Finally, CNM validity was tested through linear regression.
Subscription intentions for ChatGPT plus: a look at user satisfaction and self-efficacy
Authors: Jo Hyeon 
Published: May 2024

PurposeThis study examines the key determinants of subscription intentions for ChatGPT Plus (paid version) in business settings, focusing on tasks such as system quality, information support, service quality, perceived intelligence, goal-congruent outcome and self-efficacy.Design/methodology/approachThe study utilized a survey of office workers, analyzed through structural equation modeling, to explore these determinants.FindingsThe results demonstrate that system quality, service quality and perceived intelligence significantly influence satisfaction, while service quality and perceived intelligence also impact goal-congruent outcomes. Contrary to traditional models, satisfaction does not significantly correlate with usage. Instead, a significant relationship is observed between goal-congruent outcomes and usage. Self-efficacy emerges as a crucial predictor of subscription intentions, further underlined by the significant impact of usage on subscription intention.Research limitations/implicationsThe study’s focus on office workers and a single artificial intelligence (AI) chatbot type may limit generalizability. Its findings illuminate several avenues for future research, particularly in diversifying the context and demographics studied.Practical implicationsThis research offers actionable insights for businesses and practitioners in the implementation of AI chatbots. It highlights the importance of enhancing system quality, personalization and user confidence to boost subscription intentions, thereby guiding strategies for user engagement and technology adoption.Originality/valueThis study pioneers in investigating subscription intentions towards AI chatbots, particularly ChatGPT, providing a novel framework that expands upon traditional user behavior theories.
From restoration to social media: exploring the nexus of architecture, social media and information sharing behaviours
Authors: Topdağı Yazıcı Büşra , Irapoğlu Nuran , Güleçoğlu Hande Nur 
Published: May 2024

PurposeThis study aims to explore the impact of architecture on digital communication mediums, focusing on how social media shapes the public perception and discussion of architectural spaces. It specifically examines the case of the Basilica Cistern/Istanbul, analysing social media interactions post-restoration.Design/methodology/approachUsing newspaper archive scanning and survey technique, this study observed public content on Instagram focusing on the post-restoration period of the Basilica Cistern. 406 (283 valid) people who visited the Cistern and shared their experiences on Instagram between August 2022 and January 2023 participated in a survey. The analysis utilized Python for advanced correlation studies, enabling an in-depth exploration of the interplay between architectural features and social media sharing behaviours.FindingsThe analysis revealed that historical significance, lighting elements, role as a photographic backdrop significantly influenced sharing behaviours. Correlations were found between specific spatial features of the cistern and various sharing motivations, such as communication with people, personal gain, and popularity. The study highlights a diverse spectrum of motivations among users, emphasizing the relationship between these motivations and spatial features.Research limitations/implicationsThis study underscores the necessity for further inquiry into the intricate dynamics among digital communication, architectural spaces, and user motivations. Limitations include potential challenges in gathering data from social media due to concerns of cyber fraud and the misuse of hashtags.Originality/valueThis research offers novel insights into the interplay between digital communication and architecture. It underscores the potential of digital platforms as valuable data sources for architectural theorizing and practice, particularly in understanding how restorations and architectural changes are perceived and discussed in the digital space.
Climate governance and carbon emission disclosure
Authors: Bedi Ankita , Singh Balwinder 
Published: May 2024

Purpose
The purpose of this study is to shed light on the influence of climate governance on carbon emission disclosure.

Design/methodology/approach
This study is based on S&P BSE 500 Indian firms over six years, i.e. from 2016–2017 to 2021–2022. The panel regression has been used to determine the association between climate governance and carbon emission disclosure.

Findings
The results of this study suggest that climate governance exerts a significant influence on corporate carbon emission disclosure. Moreover, results corroborate that climate governance elements such as the environment committee, carbon strategy and environment management system are critical contributors to carbon emission disclosure.

Practical implications
This study adds to the emerging literature on climate change, carbon emission disclosure, corporate governance and climate governance.

Social implications
This work provides valuable insights to corporate managers and policymakers as the study concludes that climate governance enhances firms’ carbon emission disclosure.

Originality/value
Earlier literature has examined the influence of corporate governance on carbon emission disclosure. However, this study extends to the corporate governance literature by providing novel insights into how integrating climate governance elements into corporate governance can influence carbon emission disclosure. Moreover, to the best of the authors’ knowledge, this study is the first to explore the association between climate governance and carbon emission disclosure in the Indian context.
What should the travel industry do as the world becomes more of an office?
Authors: Sökmen Seda , Çapa Aslı Bendenay 
Published: May 2024

PurposeThis study aims to guide travel agencies to adapt their services to the expectations of digital nomads and to create new packages.Design/methodology/approachThis study, which is undertaken with the social constructivism approach, is designed as a case study. Secondary data on Remote Year as the case, experiences were obtained within the Trustpilot application. Four hundred and eighty-seven useable comments made between 2016, the year of its establishment, and 2024 were accepted as documents. These data were supported by interviews.FindingsThe findings of the study basically identify that the services provided by RY provide physical, social and psychological support to the digital nomad and are therefore preferred.Originality/valueThis study attempts to address the lack of supply-side studies in the digital nomadism literature. The concept of NomadEase was introduced to the literature and the need for entrepreneurs to manage physical, social and psychological resources together and in harmony was emphasized.
Inequalities in the pandemic and post pandemic times of older people. Case of Russia
Authors: Galkin Konstantin , Grigorieva Irina 
Published: May 2024

Purpose
This paper aims to study the inequalities faced by older people through the analysis of semistructured interviews with older residents of Saint Petersburg and the villages in the Republic of Karelia in Russia.

Design/methodology/approach
The authors begin the research by studying the nature of the perception of inequalities in older people’s lives, as well as examining the concept of inequality in the context of modern reality affected by the pandemic and postpandemic repercussions. Furthermore, the authors analyze empirical cases and, using thematic analysis, examine the specifics and the nature of the emerging inequalities, as well as the ways in which older people overcome them. In the modern world, individual rather than class competition is increasingly manifested, which stipulates the specific character of research associated with the necessity to study personal competition and interactions in the context of everyday life. The empirical basis of the study was 30 semistructured interviews conducted in 2022 in St. Petersburg and rural areas of the Republic of Karelia. The study of the everyday features of the manifestation of inequalities and ageism was carried out using modern sociological approaches.

Findings
It is concluded that older people find ways to adapt to social changes in pandemic and postpandemic times through strategies such as emotional reflection on the past, hobbies, reviewing old resources and searching for new ones, changing ways of communication and solving problems. The desire to take care of one’s own well-being is becoming an important focus of attention for the older in their daily routine.

Originality/value
These strategies create positive opportunities for adaptation and contribute to reducing the fears and anxiety of the elderly regarding the possible return to similar situations like the COVID-19 pandemic and related inequalities.
Deer grazing drove an assemblage‐level evolution of plant dwarfism in an insular system
Authors: Takahashi Daiki , Suyama Yoshihisa , Fukushima Keitaro , Setoguchi Hiroaki , Sakaguchi Shota 
Published: May 2024

Abstract

Plant dwarfism, a syndrome characterised by a significant reduction in plant height and organ size, is a widely observed pattern of stress‐tolerant life‐form evolution that results from local adaptation to harsh environmental conditions. The drivers of assemblage‐level dwarfism have primarily been attributed to abiotic factors, such as low temperature, aridity, poor soil fertility or frequent fires. While biotic factors such as grazing pressure from herbivores can contribute to the establishment of plant dwarfism, these factors have rarely been tested at assemblage levels.

Focusing on a dwarf plant assemblage comprising over 80 taxa on a small continental island in Japan with a high deer density, we hypothesised that historical deer grazing could also be a factor contributing to the large‐scale convergent evolution of dwarfism.

To test this hypothesis, we measured the size of 1908 individual plants of 40 taxa pairs, comprising both palatable and unpalatable pairs from the island and their counterpart taxa from neighbouring regions, and sought to assess which factors (i.e. low solar radiation, estimated divergence time, low nutrient conditions and grazing pressure from deer) may have contributed to the formation of the dwarf plant assemblage on the island. We also performed genetic analysis to infer the time frames for the establishment of dwarf taxa.

Statistical analyses revealed that plant size was significantly reduced mainly among the palatable taxa growing on the island, with preferential grazing by deer being identified as the most significant factor influencing plant size. Furthermore, genetic analyses revealed that dwarf ecotypes may have evolved over tens of thousands of years.

Synthesis: To the best of our knowledge, this study is the first to demonstrate that interactions with herbivores can shape the assemblage‐level convergence of plant dwarfism. These findings enhance our current understanding of the formation of plant functional diversity.
Playing Politics: An Upper Echelons' Perspective on Political Behaviour During Acquisition Decision Making
Authors: Lou Bowen , Shepherd Neil Gareth , Strobl Andreas , Bauer Florian 
Published: May 2024

AbstractThe pre‐deal phase of an acquisition is complex, with high stakes and high uncertainty. Consequently, acquisition decision making can be seen as an inherently political process. While political behaviour is a central concept in organizational theory, and despite its inevitability during acquisition decision making owing to the contested nature of the pre‐deal phase, there is a shortage of theory and evidence concerning the antecedents, consequences and moderators of political behaviour. To address these theoretical shortcomings, we develop and test a theoretical model of political behaviour focusing on the psychological context of the top management team (TMT). We argue that while political behaviour risks undermining acquisition performance, the degree of board involvement during the pre‐deal phase can enable some TMTs to attenuate the damaging effects of political behaviour. Further, we theorize two key antecedents variously fuelling and constraining political behaviour. We contend that while TMT cohesion reduces political behaviour, cognitive diversity increases political behaviour while suppressing the potential for TMT cohesion to prevent political behaviour. We test our theoretical model using a field‐based sample of 109 UK acquisitions, combining multiple informants with objective secondary data.