bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role OfFzd8For Bone Development And Homeostasis In A Mouse Model Generated By CRISPR/Cas9 Genome Editing
Authors: Lin Zhengkun , He Jianquan , Huang Hui , Lin Xiaomei , Chen Heqing , Zhang Wen , Chen Jian 
Published: January 2025

AbstractBackgroundFZD8could be a promising therapeutic target in osteoporosis (OP), although the signal transduction mechanism in OP regardingFZD8has not been completely elucidated.AimsWe used the CRISPR/Cas9 technique to develop anFzd8-knockout mouse model to study whetherFzd8inactivation results in genetic changes with potential correlations to OP.Materials and MethodsGenotypes of distinguished classified knockout mice, i.e., heterozygous, homozygous, and wild-type were identified through PCR. Applying the murine model, third generation mice were used for the downstream experiments. We investigated the potential relevance of differentially expressed genes (DEGs) in OP.ResultsWe found that osteoclasts significantly increased inFzd8-knockout homozygous mice, compared to wild-type mice, while osteoblasts reduced significantly. Before transcription, heterozygous and homozygous mice possessed DEGs related to exons SNP, which are associated with exons CNV. After transcription, DEGs related to exons SNP in heterozygous and homozygous mice were observed, some of which are potentially associated with OP based on pathway and gene set enrichment analyses.ConclusionsOurFzd8-knockout murine model showed that there were significant alternations inFzd10andLtagene expressions andItgb3 and RANKprotein expressions among the wild-type and homozygous mice, which are significantly associated with bone remodeling. Our results revealed thatFZD8could be a therapeutic target in OP. This study elucidates the molecular mechanisms in OP, providing evidence-based data for OP drug development and treatment.
Considerations on broadband policy in Brazil: a case study of overlapping programs
Authors: Paula Roger Souza de , Fraidenraich Gustavo 
Published: January 2025

Purpose
This paper aims to present an overview of the current Brazilian broadband policy and identify the key factors that could contribute to its successful implementation and avoid duplication of support and infrastructure and save public money.

Design/methodology/approach
First, an exhaustive survey was carried out on all broadband programs active in Brazil, listing the main objectives, beneficiaries and budget. As a qualitative and quantitative method, FODG (fragmentation, overlap, duplication and gaps) analysis was applied to the 17 programs identified, and then a case study of overlapping was presented. Finally, the Monte Carlo simulation was used to estimate the potential financial benefits resulting from correcting the overlapping broadband programs.

Findings
Results show that the current broadband policy implemented in Brazil has signs of fragmentation, overlap and duplication between programs and a great focus on the dimensions of deployment and universalization of broadband service, to the detriment of those related to meaningful communication.

Research limitations/implications
The scarcity and incongruity of panel data are the main research limitations for a more extensive comparative study.

Practical implications
The findings indicate the need to implement a national broadband strategy with a long-term vision, instrumentalized in a plan, and multisectoral and interfederative coordination based on efficient planning.

Originality/value
To the best of the authors’ knowledge, this is the first paper to compare broadband programs in Brazil from various perspectives of public policy and estimate financial benefits using a mathematical model.
How can economic development and carbon reduction in commercial buildings be reconciled? Evidence from Chinese cities
Authors: Liu Qiqi , Peng Ming , Cai Weiguang , Yang Liu , Liu Shiying 
Published: January 2025

PurposeClarifying the relationship between building carbon emissions and economic development can help sustainable construction in the field of construction, and this paper provides a constructive suggestion for ensuring economic development while realizing energy efficiency and emission reduction in buildings.Design/methodology/approachThe study focuses on the building sector and firstly analyzes the complex relationship between economic agglomeration (EA) and carbon emission intensity (CEI) of commercial buildings at the city level through the spatial Durbin model and the threshold effect model, and then discusses the regional heterogeneity of this complex relationship from the dimensions of economic density and climate zones, respectively, and finally analyzes in depth the intrinsic influencing mechanism of EA on the CEI of commercial buildings.FindingsThe authors found that (1) there is an inverted U-shaped nonlinear relationship between EA and CEI of commercial buildings, and the inflection point of the EA level is 2.42, i.e. 1.125 bn RMB/km2. (2) Significant regional differences exist in the inverted U-shaped relationship for cities with different economic densities and cities in different climate zones. (3) EA mainly affects the CEI of commercial buildings through externalities such as commercial building size and tertiary industry share, of which commercial building size is the most important factor hindering the decoupling of urban economic development from the CEI of commercial buildings.Originality/valueThis paper discusses for the first time the relationship between economic development and carbon emissions at the city level and clarifies the spatial differences and influencing mechanism of this relationship, providing a fuller reference for policymakers to develop differentiated building energy efficiency and emission reduction strategies.
Quantitative insights into collaboration in BIM-enabled projects: a PLS-SEM approach
Authors: Oraee Mehran , Hosseini M. Reza , Edwards David J. 
Published: January 2025

PurposeThe purpose of this paper is to present a quantified model for influential factors in the collaboration process in Building Information Modelling (BIM). BIM-based Construction Networks (BbCNs), which comprise teams of specialist organisations engaged to execute BIM-related activities, have become the centrepiece of collaboration in construction projects. In BbCNs, however, a lack of effective collaboration among teams remains a major barrier to receiving the full benefits of BIM. Despite this importance, the role of influential factors in collaboration in BbCNs has remained somewhat esoteric in nature in various previous studies, in which the present study attempts to address this gap.Design/methodology/approachTo develop the quantified model for collaboration in BbCNs, primary empirical data was collected from a questionnaire survey of BIM experts in the construction industry. This data was subsequently analysed through the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique using SmartPLS software as a viable and robust package for PLS-SEM analysis.FindingsQuantification of associations to collaboration in BbCNs reveals that unlike the common beliefs espoused in previous studies on collaboration in BbCNs, the lack of BIM-related tools and technologies is no longer the key concern of effective collaboration in BbCNs. Instead, ethical and managerial factors including “ethical approaches”, “liabilities” and “BIM manager role” were found to be in need of more attention for effective collaboration in BbCNs.Practical implicationsThrough presenting the first quantified model for collaboration in BbCNs, findings provide a point of reference for practitioners for coaching and managing teams. So too, the findings can be translated into a set of guiding principles for the world of practice for enhancing collaboration in BbCNs.Originality/valueThis paper makes a significant contribution to the field by quantifying the factors that impact collaboration within BbCNs settings. It meticulously assesses the degree of influence wielded by these factors and provides empirical numerical evidence to demonstrate that the lack of BIM tools and software is comparatively less concerning in fostering collaboration within BbCNs when contrasted with human-related factors. This original contribution surpasses prior qualitative evaluations by introducing a systematic framework for ranking and comparing other influential factors, thereby advancing relevant theoretical constructs into the realm of quantitative analysis.
Double standards in roadshows: the impact of investors’ dynamic gender-based bias on the financing performance of women entrepreneurs
Authors: Zhang Qian , Chen Sirui 
Published: January 2025

PurposeAccelerators and roadshows provide valuable scenarios for studying the embeddedness and dynamic effect of gender. Drawing on status theory and signaling theory, the study explores how investors’ implicit bias and the cohort effects in roadshows affect financing performance regarding investor drivers.Design/methodology/approachExperiment 1 recruited 220 financial practitioners in China and asked them to make investment judgments on two actual pitching materials of women- and men-led startups in the Internet health industry after manipulating past funding scenarios. Experiment 2 considers project-specific features to invite 211 Chinese financial practitioners to read the roadshow materials of women- or men-led startups in the Internet health or children’s education industry. Experiment 3 adopts the health monitoring and clothing manufacturing industries’ roadshow materials to recruit 238 financial practitioners in the United States (US) for the study.FindingsFindings show that (1) women are at a financing disadvantage in the roadshows, (2) investors’ double standards reduce women entrepreneurs’ financing performance and (3) the mediating effect of double standards is moderated by the financing performance of women or men entrepreneurs that investors have approached in past investment activities.Originality/valueThis study contributes to the gender gap and accelerator literature by combining status theory and signaling theory to study the dynamic and embeddedness of entrepreneur gender effects in roadshows from investor drivers. The findings inform the participation of women entrepreneurs in accelerators, the selection of potential investors, and shifting investors’ perceptions toward women entrepreneurs at the early financing stage.
Research on the influence of technological innovation on regional economic growth based on neural network in Shaanxi, China
Authors: Li Xiaotong , Su Wei 
Published: January 2025

Purpose
The study aims to measure the contribution rate of scientific and technological progress of Shaanxi province and find out the main driving force of its economic development, which has important reference significance for formulating and implementing the economic and social development strategy of Shaanxi Province and other regions.

Design/methodology/approach
By comparing and referring to the advantages and disadvantages of existing research methods, this paper combined C-D production function and Solow residual method to calculate the elastic coefficient through neural network algorithm, and then calculated the contribution rate of technological innovation to economic growth in Shaanxi province as a whole and in various regions, analyzed and put forward reasonable suggestions.

Findings
The results show that the economic growth is mainly depends on capital investment, and the contribution rate of technological innovation to economic growth is low and fluctuates greatly. In the future, each region of Shaanxi should improve the ability of technological innovation to speed up the economic transformation to the intensive type.

Originality/value
To make the technological innovation in Shaanxi province and other regions play a more significant role in promoting economic growth and accelerate the productivity and economic transformation of Shaanxi Province, the following suggestions are put forward, strengthen the coordinated development of innovation and economy in all regions of Shaanxi. Second, this paper need to give full play to the role of policy support and incentives. Third, this paper need to improve the market system and vigorously support enterprise innovation. Fourth, use new and high technology to transform and upgrade industrial technology. Fifth, this paper need to speed up the development of high-quality personnel.
Pet-friendly hotels: distinctive attributes and their influence on customer behavior
Authors: Kim Jinkyung Jenny , Baah Nancy Grace , Kim Seongseop (Sam) , Han Heesup , Meng Bo , Chi Xiaoting 
Published: January 2025

PurposeThis study aims to determine the distinctive attributes of pet-friendly hotels, examine the importance versus the performance of each attribute, and test the effect of the performance of attributes on customer behavior.Design/methodology/approachThis research applied qualitative and quantitative methods to explore the unique attributes of pet-friendly hotels. The importance-performance analysis was used to investigate how customers perceive the importance and the performance of each attribute, and regression analysis was used to examine how the performance of attributes influences customer behavior.FindingsThis study identified six distinctive attributes of pet-friendly hotels. Furthermore, the findings underlined the significance of pet-related activity support for pet-friendly hotel selections, and addressed an urgent need for the improvement of pet-friendly safety measures. Last, results showed the salient effect of pet-related activity support on visit and word-of-mouth intentions, and the strong influence of pet-centric facilities and services on willingness to pay premiums for pet-friendly hotels.Practical implicationsThe findings provided useful insights into how hotel companies could effectively position themselves as pet-friendly from customers’ perspectives.Originality/valueThis research is among the first to determine distinctive attributes and adopt importance-performance analysis in pet-friendly hotel context.
Tracing the impact of COVID-19 on hospitality and tourism: a comprehensive bibliometric analysis across pandemic phases
Authors: Lee Jongwon , Park Jihye , Park Jeong-Yeol , Back Robin M. 
Published: January 2025

PurposeThis study presents a bibliometric analysis of hospitality and tourism literature related to the COVID-19 pandemic, categorizing the pandemic into five phases: inception, growth, maturity, endemic and new normal.Design/methodology/approachUsing the Web of Science database, 2,485 publications from Q1 and Q2 journals of the SCImago Journal and Country Rank, published from January 2020 to July 2024, were analyzed. Advanced bibliometric techniques, including co-word analysis and structural topic modeling, were employed to trace research trends and theoretical frameworks.FindingsThe study identifies key publications, authors and affiliations. It also highlights evolving research themes across different pandemic phases. The analysis reveals a dynamic shift from immediate impacts to recovery, resilience and sustainability. The study also discusses the diverse theoretical approaches used to understand pandemic-related behaviors, emphasizing the importance of health and risk theories.Practical implicationsFindings point to ways in which businesses may adapt and diversify their business models to be more resilient to future health-related crises. The findings further emphasize the importance of promoting sustainable and responsible tourism practices, as well as supporting employee well-being.Originality/valueThe findings offer valuable insights for future research and practical implications for the hospitality and tourism sectors in preparing for potential future pandemics by reviewing the entire progress of the pandemic.
Examining the mental health consequences of childhood sexual abuse and intimate partner sexual violence in China: a brief review
Authors: Li Eleanor Manhong , Willmott Dominic , Trivedi-Bateman Neema 
Published: January 2025

Purpose
Sexual violence has a profound impact on victim-survivors across the world, and these consequences extend beyond cultural boundaries. While the mental health consequences are well established across the Western world, less is known about the impact on victims in China. This is somewhat surprising given the size of the population. The purpose of this study is, therefore, to provide a rapid review of existing studies that have investigated mental health outcomes for victim-survivors of sexual violence in China.

Design/methodology/approach
In this brief review paper, the authors conduct and provide a thematic synthesis and scrutiny of evidence surrounding two rarely reported yet common types of sexual violence experienced by victim-survivors in China, intimate partner sexual violence and childhood sexual abuse, examining the impact on survivor mental health.

Findings
Taken together, studies show wide-ranging and severe psychological consequences, including depression, post-traumatic stress disorder, personality and identity difficulties and suicidal attempts and ideations.

Originality/value
The unique cultural traditions that appear to exacerbate victim-survivor abuse experiences, non-disclosure practices and mental health outcomes are also identified and considered with future interventions in mind.
Visual assessment for frontal sinus radiographic identifications: Documenting accuracy and exploring the effects of experience
Authors: Butaric Lauren N. , Campbell Jessica L. , Garvin Heather M. 
Published: January 2025

AbstractDecedent positive identification via visual comparisons of frontal sinus radiographs is commonly used in the medicolegal field; however, only a handful of studies have empirically tested this method. This study aimed to test the accuracy of visual assessment in frontal sinus identifications across a large and experientially diverse participant sample. A Qualtrics survey presented participants with 25 pairs of cropped frontal sinus radiographs, asking them to determine if they matched and their confidence level. Radiographs were from the American Association of Orthodontics Legacy Collection. Eighteen radiographic pairs were of the same individual taken a year or more apart. Seven pairs were from different individuals (nonmatches). Euclidean distances were used to select challenging nonmatches with similar outlines. Participants were also asked questions about their profession, training, and experience. The overall accuracy of the 145 respondents (3625 comparisons) was 89.9%, with a median accuracy of 92.0%. The majority of respondents (64.58%) report zero radiographic identification experience. Incorrect responses were biased, with only 3.6% of nonmatches wrongly reported as matches (false positives). Statistical analyses revealed significant effects of profession, radiographic experience, and training on match accuracies and confidence levels (p < 0.05), with a significant correlation between accuracy and confidence level (rs = 0.302, p < 0.001). These results support the use of frontal sinus visual comparisons in forensic identifications but highlight the importance of training and experience. In practice, accuracy rates are expected to exceed those reported here, given that identifications are made by medicolegal personnel using higher quality radiographs of the entire cranium.
Children exposed to family and domestic violence perpetrated against their mother are at an increased risk of emergency department attendance in childhood
Authors: Orr Carol , Sims Scott , Fisher Colleen M , O'Donnell Melissa , Glauert Rebecca A , Preen David B 
Published: January 2025

AbstractObjectiveTo determine the association between family and domestic violence (FDV) exposure and ED attendance in Australian children.MethodsThe present study comprised a population‐based retrospective cohort study using deidentified linked administrative data of children born 1987–2010, in Western Australia (n = 58 352). Multivariate Cox proportional hazards modelling was used to estimate the association of FDV exposure with ED attendance. Estimates are presented as adjusted and unadjusted hazard ratios (HR) with Wald 95% confidence intervals (CI).ResultsChildren exposed to FDV had a 35% (HR = 1.35, 95% CI: 1.32–1.38) increased risk of ED attendance than non‐exposed children. Following model adjustment for sociodemographic and clinical characteristics a statistically significant increased risk of 21% (HR = 1.21, 95% CI: 1.18–1.23) was observed in FDV‐exposed children compared to their non‐exposed counterparts. When stratified by Aboriginal status, an increased risk for ED attendance was observed in both Aboriginal and non‐Aboriginal children exposed to FDV, when compared to non‐exposed counterparts (aHR = 1.13, 95% CI: 1.11–1.16; aHR = 1.42, 95% CI: 1.37–1.47, respectively).ConclusionsExposure to FDV is associated with an increased risk of ED attendance in childhood. The findings add to the limited literature providing further support that FDV exposure impacts children's health service utilisation and further supports that children's exposure to FDV as an area of public health concern. Attendance at the ED presents an opportunity for intervention.
Dry ice sublimation: A computational study with experimental validation for the effects of geometry
Authors: Erdogdu Ferruh , Hafner Kimberly , Altin Ozan , Karatas Ozan , Boz Ziynet , Welt Bruce A. 
Published: January 2025

AbstractDry ice is one of the world's most in‐demand commodities for cold‐chain distribution of temperature‐sensitive products. It offers an effective cooling solution without requiring mechanical refrigeration or specialized equipment. Dry ice is commonly produced as pellets and blocks. A widely used “rule of thumb” suggests that dry ice sublimates about 3%–8% per day. Mass of dry ice is typically the only packaging specification and/or regulatory limitation, even though sublimation rate is highly dependent on geometry. Therefore, the purpose of this study was to develop and validate a computational model for the sublimation process and to elucidate effects of geometry and orientation on dry ice sublimation. Experiments on sublimation of dry ice blocks were carried out and used to validate a multi‐physics model involving radiation and convection heat transfer, computational fluid dynamics, and changes in the geometrical features. Following model validation, effects of dry ice geometry on sublimation rates were evaluated. Volume‐to–surface area ratio was found to be a significant sublimation cooling performance parameter. Results showed that for the same mass, the rate of sublimation in the form of a sphere (high volume‐to–surface area ratio) was almost half that of dry ice in the form of a block (lower volume‐to–surface area ratio). This finding enhances our understanding of dry ice sublimation and cooling, which promises to help to improve practical cold‐chain maintenance.