bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extremal Higgs couplings
Authors: Miró Joan Elias , Guerrieri Andrea L. , Gümüş Mehmet Asım 
Published: July 2024

We critically assess to what extent it makes sense to bound the Wilson coefficients of dimension-six operators. In the context of Higgs physics, we establish that a closely related observable, cH, is well defined and satisfies a two-sided bound. cH is derived from the low momentum expansion of the scattering amplitude, or the derivative of the amplitude at the origin with respect to the Mandelstam variable s, expressed as M(HiHi→HjHj)=cHs+O(gSM,s−2) where gSM represents all Standard Model couplings. This observable is and, as a result, not sign-definite. We also determine the conditions under which the bound on cH is equivalent to a bound on the dimension-six operator OH=∂|H|2∂|H|2.

Published by the American Physical Society
2024
A model of regional housing markets in England and Wales
Authors: Bhattacharjee Arnab , Jensen-Butler Chris 
Published: July 2024

PurposeWe propose an economic model of housing markets. The model incorporates the macroeconomic relationships between prices, demand and supply. Since vacancy rates are not observable, the demand-supply mismatches are identified using a microeconomic model of search, matching and price formation. The model is applied to data on regional housing markets in England and Wales.Design/methodology/approachEconomic theory combining macroeconomics and microeconomics together with new generation econometric methods for empirical analysis.FindingsThe empirical model, estimated for the ten government office regions of England and Wales, validates the economic model. We find that there is substantial heterogeneity across the regions, which is useful in informing housing and land-use policies. In addition to heterogeneity, the model enables us to better understand unrestricted inter-regional spatial relationships. The estimated spatial autocorrelations imply different drivers of spatial diffusion in different regions.Research limitations/implicationsIn the nature of other empirical work, the findings are subject to specificities of the data considered here. The understanding of spatial diffusion can also be further developed in future work.Practical implicationsThis paper develops a nice way of closing macroeconomic models of housing markets when complete demand, supply and pricing data are not available. The model may also be useful when data are available but with large measurement errors. The model comes together with corresponding empirical methods.Social implicationsImplications for the housing market and other regional policies are important. These are context-specific, but some implications for housing policy in the UK are provided in the paper as an example.Originality/valueUnique housing market paper combining both macroeconomic and microeconomic theory as well as both theory and empirics. The rich framework so developed can be extended to much future work.
Solo female travelers: a systematic literature review and future research agenda
Authors: Abdul Shukor Syadiyah , Kattiyapornpong Uraiporn 
Published: July 2024

Purpose
Solo travel is one of the fastest-growing tourism segments, especially among women. This study aims to identify which research topics of interest are more evident in solo female travelers (SFTs) and provide future researchers directions to explore some other research areas in SFTs.

Design/methodology/approach
Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, the searched keywords included “female travel*” OR “women travel*” AND solo, extracted from Web of Science, Scopus, Emerald and ProQuest databases conducted in English.

Findings
Out of the 163 initial records, 25 papers were included. The reviews revealed four research topics that are more evident in SFT studies, namely, push and pull factors, perceived risks and travel constraints, risk management and negotiation strategy and travel experience. More work is required on SFTs beyond the existing research streams.

Research limitations/implications
The papers selected for this study were chosen based on the review’s selection criteria and might omit other SFT studies.

Originality/value
This paper contributes to uncovering the literature on SFTs to date.
Efficient machine learning for strength prediction of ready-mix concrete production (prolonged mixing)
Authors: Tuvayanond Wiput , Kamchoom Viroon , Prasittisopin Lapyote 
Published: July 2024

Purpose
This paper aims to clarify the efficient process of the machine learning algorithms implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine learning algorithms in terms of preciseness and computation time for the RMC strength prediction.

Design/methodology/approach
This paper presents an investigation of five different machine learning algorithms, namely, multilinear regression, support vector regression, k-nearest neighbors, extreme gradient boosting (XGBOOST) and deep neural network (DNN), that can be used to predict the 28- and 56-day compressive strengths of nine mix designs and four mixing conditions. Two algorithms were designated for fitting the actual and predicted 28- and 56-day compressive strength data. Moreover, the 28-day compressive strength data were implemented to predict 56-day compressive strength.

Findings
The efficacy of the compressive strength data was predicted by DNN and XGBOOST algorithms. The computation time of the XGBOOST algorithm was apparently faster than the DNN, offering it to be the most suitable strength prediction tool for RMC.

Research limitations/implications
Since none has been practically adopted the machine learning for strength prediction for RMC, the scope of this work focuses on the commercially available algorithms. The adoption of the modified methods to fit with the RMC data should be determined thereafter.

Practical implications
The selected algorithms offer efficient prediction for promoting sustainability to the RMC industries. The standard adopting such algorithms can be established, excluding the traditional labor testing. The manufacturers can implement research to introduce machine learning in the quality controcl process of their plants.

Originality/value
Regarding literature review, machine learning has been assessed regarding the laboratory concrete mix design and concrete performance. A study conducted based on the on-site production and prolonged mixing parameters is lacking.
International subjects on the periphery: the publishing challenges of early-career female academics from Central and Eastern Europe
Authors: Lendák-Kabók Karolina , Mignot-Gerard Stéphanie , Vanholsbeeck Marc 
Published: July 2024

PurposeThe paper’s aim is to explore female academics’ publication aspirations and constraints in a less researched area of Central and Eastern Europe (CEE).Design/methodology/approachThe research data presented in this paper is part of a larger cross-European project involving semi-structured interviews conducted with Early Career Researchers (ECR) (PhD+ 8 years) from Social Sciences and Humanities (SSH) from seventeen European countries.FindingsThe findings show how ECR women from the CEE region in SSH encounter difficulties when trying to publish, which obstacles add to a strong economic and geopolitical dependence. Findings reveal that female ECRs use various publications strategies to enhance their scientific career and engage in the neoliberal model of academia, but mostly stay in their local scientific communities, without building internationally recognized scientific careers. Thus, they do wish for a global recognition, but they opt for a safer and more accessible choice of publishing in their local scientific communities.Originality/valueKnowledge which academic women from the CEE region produce (mostly in their local languages) stays in their local and isolated enviroments, creating an imbalanced knowledge advancement in a international academic arena which recognizes only publications written in English and in renowed journals.
Critical success factors, institutional actions and instructors’ acceptance of e-learning in higher education: a systematic review
Authors: Millidonis Theodoros , Lois Petros , Georgiou Ifigenia , Tsoukatos Evangelos 
Published: July 2024

PurposeThis study conducts a systematic literature review to examine the interrelationships between e-learning critical success factors, instructors' perceptions of these factors, and the corresponding institutional actions taken by higher education institutions to achieve success in e-learning implementation, by fostering instructors’ acceptance of e-learning as a viable mode of delivery in higher education.Design/methodology/approachThe research design employed in this study involves a systematic literature review of 43 peer-reviewed articles from EBSCO host and Scopus databases. The selected methodology employed thematic analysis of the gathered data by utilizing a multistep qualitative coding method of analysis. FindingsThe systematic literature review delivers three key findings. First, there is a notable divergence between instructors' perceptions of critical success factors for e-learning in higher education and the perspectives of other stakeholders, such as students, e-learning experts, and institutional management. Second, it emphasizes the importance for higher education institutions to understand and address instructors' perceptions to facilitate effective e-learning implementation. Third, the literature suggests potential causal relationships between institutional actions addressing the success factors deemed important by instructors and instructors' sustained acceptance of e-learning as a viable delivery mode.Research implicationsThe present study enriches knowledge of instructor perceptions of critical success factors for effectiveness in higher education by extending research in institutional management actions to enable their achievement. This study has implications for research strands on how instructors’ motivation and propensity for e-learning acceptance can be influenced by institutional management and how to reduce the level of resistance to adopting e-learning courses by addressing e-learning’s critical success factors as perceived by instructors.Originality/valueBased on the theoretical insights derived from the systematic literature review, a conceptual framework is constructed, integrating the three concepts under investigation: success factors, institutional actions, and instructors' acceptance of e-learning in higher education. This framework provides a basis for future research seeking to validate the potential causal relationships among these concepts. Moreover, the study contributes to existing literature by addressing and consolidating research strands related to critical success factors and instructors' perceptions of e-learning effectiveness in higher education.
Meeting the needs of physically disabled tourists: use of service robots toward the hotel attachment
Authors: Parvez M. Omar , Hossain Md Sazzad , Patwary Ataul Karim , Elkhwesky Zakaria , Ur Rehman Shafique , Ali Faizan 
Published: July 2024

Purpose
This study aims to focus on tourists with physical disabilities and examine their perceptions of service robots in hotels and their influence on the overall experience, behavioral intentions and hotel attachment.

Design/methodology/approach
A survey was conducted via the Prolific platform to collect data from 409 respondents. The data was analyzed using partial least squares–based SEM.

Findings
The salient PLS-SEM findings show that perceived safety and functional benefits significantly affect a hotel's overall experience and intention to revisit. Perceived privacy did not relate to the hotel's overall experience and intention to revisit. Moreover, the hotel's overall experience significantly affects the intention to revisit, further influencing hotel attachment.

Research limitations/implications
This research only examines the perceptions of tourists with physical disabilities of hotel service robots. Findings are based on a survey, and thus, the results cannot be generalized.

Originality/value
Current research indicates the impact of the intention to revisit and hotel attachment. Moreover, this study investigates the mediating role of overall hotel experience in the association between perceived privacy, perceived safety and functional benefits regarding revisit intention.
Water peaking with a three‐pillar analysis in China: Exploring the interplay of resource utilization and industrial structure
Authors: Sun Mingsong , Song Yutong 
Published: July 2024

AbstractThis study introduces the innovative concept of water‐peaking theory, drawing inspiration from the theories of “peak oil” and “carbon peaking.” Employing the Environmental Kuznets Curve, Tapio's decoupling theory, and Logarithmic Mean Divisia Index decomposition, we analyze data spanning from 2006 to 2020, yielding significant findings. First, China's three industries exhibit an imbalanced structure in the utilization of water resources, necessitating the reallocation of water from the primary industry to the secondary and tertiary industries. Second, although China has not yet attained absolute water peaking, it confronts a predicament in sustainable development. Third, the primary and secondary industries demonstrate favorable decoupling of water consumption from economic growth, while the tertiary industry faces challenges in achieving historical water peaking. Fourth, drivers on the production side (technological effects, structural effects, output effects) substantially reduce water consumption across all industries, contributing to progress toward water peaking. Conversely, factors on the consumer side (population effects) play a minor role with untapped potential. This research provides valuable insights for nations worldwide in identifying historical inflection points in water resource management, pursuing sustainable pathways for industrial water usage and economic growth, and achieving environmental quality and sustainable economic development objectives. China's experiences serve as a guiding exemplar in this endeavor.
The impact of heat waves on food industry productivity: Firm‐level evidence from Italy
Authors: Nota Paolo , Curzi Daniele , Haase Oliver Ken , Olper Alessandro 
Published: July 2024

AbstractThis paper investigates the impact of heat waves on the productivity of the Italian food industry. Using daily weather and firm‐level data for the 2004–2019 period, we show that a heat wave causes, on average, a reduction in Total Factor Productivity (TFP) of about 3.2%. Smaller firms are more severely affected, with a reduction of approximately 7%, revealing unequal impacts within the same country and sector. The reduction in TFP can be partially attributed to lower workers' productivity, with labour input increased in order to compensate for productivity loss. The estimated effect is heterogeneous across subsectors, with some well‐known Italian products (e.g., wine production) more severely affected by heat waves. These findings have significant policy implications due to the expected increase in the frequency of heat waves caused by climate change, and are particularly important in the case of the Italian food industry, which is mainly composed of small firms. The paper highlights the need to investigate further the impacts of heat stress on the entire food system, as most of the literature has predominantly focused on the agricultural sector.
Responsible innovation: Mitigating the food safety aspects of cultured meat production
Authors: Manning Louise 
Published: July 2024

AbstractThere is much interest in cultured (cultivated) meat as a potential solution to concerns over the ecological and environmental footprint of food production, especially from animal‐derived food products. The aim of this critical review is to undertake a structured analysis of existing literature to (i) identify the range of materials that could be used within the cultured meat process; (ii) explore the potential biological and chemical food safety issues that arise; (iii) identify the known and also novel aspects of the food safety hazard portfolio that will inform hazard analysis and risk assessment approaches, and (iv) position a responsible innovation framework that can be utilized to mitigate food safety concerns with specific emphasis on cultured meat. Although a number of potential food safety hazards are identified that need to be considered within a food safety plan, further research is required to validate and verify that these food safety hazards have been suitably controlled and, where possible, eliminated. The responsible innovation framework developed herein, which extends beyond hazard analysis and traditional risk assessment approaches, can be applied in multiple contexts, including this use case of cultured meat production.
Altered N6‐methyladenosine methylation level in spermatozoa messenger RNA of the male partners is related to unexplained recurrent pregnancy loss
Authors: Yang Tingting , Liu Yanyan , Lin Ziyuan , Chen Feng , Zhu Lin , Zhang Lin , Zhou Bin , Li Fuping , Sun Huaqin 
Published: July 2024

AbstractBackgroundUnderstanding the pathogenesis of unexplained recurrent pregnancy loss is paramount for advancing effective treatments. Various biological processes, including spermatogenesis and embryo development, are tightly regulated by N6‐methyladenosine modifications. However, few studies have focused on the impact of sperm N6‐methyladenosine modifications on embryonic development. Therefore, we aimed to study altered N6‐methyladenosine‐mediated messenger RNA methylation modifications in the spermatozoa of male partners from couples experiencing unexplained recurrent pregnancy loss, to identify potential diagnostic markers and explore their potential molecular mechanisms in pregnancy loss and embryogenesis.MethodsMethylated RNA immunoprecipitation (MeRIP) sequencing and RNA sequencing were conducted on the spermatozoa of men from couples in the ‘unexplained recurrent pregnancy loss’ group (n = 6), and the fertility control group (n = 6). To identify the role of the detected key genes, zebrafish model embryos were studied, and multi‐omics (transcriptomics, proteomics, and metabolomics) analyses helped to explore the molecular mechanism of abnormal embryogenesis.FindingsComparing unexplained recurrent pregnancy loss with the fertility control group, 217 N6‐methyladenosine peaks were significantly upregulated, and 40 were downregulated in the spermatozoa. The combined analyses of spermatozoa‐methylated RNA immunoprecipitation sequencing and RNA sequencing indicated that N6‐methyladenosine methylation and the expression of SEMA5A, MT‐ATP6, ZNF662, and KDM4C were significantly different. In zebrafish embryos, the altered expression of the four genes increased embryonic mortality and malformations by disturbing several key signaling pathways and zygotic genome activation.InterpretationThis study highlights the paternal epigenome, which could be one of the reasons for faulty embryogenesis leading to pregnancy loss. The N6‐methyladenosine modification, the most prevalent RNA modification, contributes to the exploration and understanding of the paternal epigenome in the maintenance of pregnancy and fetal growth and development. The four genes identified in this study may serve as potential diagnostic markers and elucidate novel molecular mechanisms of embryogenesis.
Direct measurements of neurosteroid binding to specific sites on GABAA receptors
Authors: Chintala Satyanarayana M. , Tateiwa Hiroki , Qian Mingxing , Xu Yuanjian , Amtashar Fatima , Chen Zi‐Wei , Kirkpatrick Charles C. , Bracamontes John , Germann Allison L. , Akk Gustav , Covey Douglas F. , Evers Alex S. 
Published: July 2024

AbstractBackground and PurposeNeurosteroids are allosteric modulators of GABAA currents, acting through several functional binding sites although their affinity and specificity for each site are unknown. The goal of this study was to measure steady‐state binding affinities of various neurosteroids for specific sites on the GABAA receptor.Experimental ApproachTwo methods were developed to measure neurosteroid binding affinity: (1) quenching of specific tryptophan residues in neurosteroid binding sites by the neurosteroid 17‐methylketone group, and (2) FRET between MQ290 (an intrinsically fluorescent neurosteroid) and tryptophan residues in the binding sites. The assays were developed using ELIC‐α1GABAAR, a chimeric receptor containing transmembrane domains of the α1‐GABAA receptor. Tryptophan mutagenesis was used to identify specific interactions.Key ResultsAllopregnanolone (3α‐OH neurosteroid) was shown to bind at intersubunit and intrasubunit sites with equal affinity, whereas epi‐allopregnanolone (3β‐OH neurosteroid) binds at the intrasubunit site. MQ290 formed a strong FRET pair with W246, acting as a site‐specific probe for the intersubunit site. The affinity and site‐specificity of several neurosteroid agonists and inverse agonists was measured using the MQ290 binding assay. The FRET assay distinguishes between competitive and allosteric inhibition of MQ290 binding and demonstrated an allosteric interaction between the two neurosteroid binding sites.Conclusions and ImplicationsThe affinity and specificity of neurosteroid binding to two sites in the ELIC‐α1GABAAR were directly measured and an allosteric interaction between the sites was revealed. Adaptation of the MQ290 FRET assay to a plate‐reader format will enable screening for high affinity agonists and antagonists for neurosteroid binding sites.
Word Forms Reflect Trade‐Offs Between Speaker Effort and Robust Listener Recognition
Authors: Meylan Stephan C. , Griffiths Thomas L. 
Published: July 2024

AbstractHow do cognitive pressures shape the lexicons of natural languages? Here, we reframe George Kingsley Zipf's proposed “law of abbreviation” within a more general framework that relates it to cognitive pressures that affect speakers and listeners. In this new framework, speakers' drive to reduce effort (Zipf's proposal) is counteracted by the need for low‐frequency words to have word forms that are sufficiently distinctive to allow for accurate recognition by listeners. To support this framework, we replicate and extend recent work using the prevalence of subword phonemic sequences (phonotactic probability) to measure speakers' production effort in place of Zipf's measure of length. Across languages and corpora, phonotactic probability is more strongly correlated with word frequency than word length. We also show this measure of ease of speech production (phonotactic probability) is strongly correlated with a measure of perceptual difficulty that indexes the degree of competition from alternative interpretations in word recognition. This is consistent with the claim that there must be trade‐offs between these two factors, and is inconsistent with a recent proposal that phonotactic probability facilitates both perception and production. To our knowledge, this is the first work to offer an explanation why long, phonotactically improbable word forms remain in the lexicons of natural languages.