bluuebunny/crossref_metadata_2025_split huggingface dataset:
How do consumers evaluate sponsorship in the aftermath of sport celebrity scandals? Uncovering evidence on social media data mining
Authors: Sassenberg Anne-Marie , Sassenberg Cindy 
Published: July 2024

PurposeThe purpose of this study is to investigate the effects of sport scandals on consumer perceptions of the associated sponsors and sport and to provide a typology of sport celebrity scandals to guide management response tactics.Design/methodology/approachThe study conducted four focus groups that were followed by social media data mining. A total of 8,289 consumer comments were collected from 147 websites, and a total of 224 comments were analyzed in terms of themes and frequency.FindingsThe research found the impact of sport scandals on consumer perceptions of sponsorship evaluations depended on whether the scandal was gender related scandal, recreational drug use, gender violence, unplanned and planned on-field scandals. Gender violence and planned on-field scandals can have an overwhelmingly negative impact on sponsorship evaluations, while unplanned on-field scandals may result in positive effects. Consumer empathy may influence the impact of recreational drug use, and the gender of the sport celebrity can influence the impact of unplanned on-field scandals.Research limitations/implicationsThis study contributes to sponsorship theory by indicating the type of scandal affects consumer perceptions of associated sponsors and sport.Practical implicationsThe findings may guide management to develop response tactics to sport scandals. The response tactics may be based on consumer perceptions of the impact of the scandal on the associated sponsors and sport. Sponsor and sport management response tactics may be perceived as a differentiation of the sponsor and sport brands. It may be necessary that sponsorship agreements included pre-determined response tactics that contribute to value formation in the local community.Originality/valueThis study contributes to sponsorship theory by indicating the type of scandal affects consumer perceptions of sponsorship evaluations. Two additional factors may impact these influences: consumer empathy and the gender of the sport celebrity.
Getting stuck in a collective stigma: sex offense registrants, liminality liminoid experiences, and identity limbo groups
Authors: Cooley Webb Brooke , Petersen Cassandra , Sample Lisa L. 
Published: July 2024

Purpose
The purpose of this study was to examine the internalization of group-level identities held by people who are on the sex offense registry and how these influence emotions and the willingness to accept treatment. The types and consequences of identities and stigmas are often examined at the individual level, but most people belong to groups that hold collective identities that can be detected in phrases such as “we, us, our,” etc.

Design/methodology/approach
Longitudinal data from 2008 to 2024 was used to examine registrant’s group identities. Interviews were conducted with 115 registrants and 40 of their family members, and narrative research analysis was used to assess how participants’ levels of liminality influence why some on the registry never come to see themselves as sex criminals.

Findings
Three group-level identities were found that corresponded with varying phases of liminality. The first group had a fixed mindset, no liminality and a strong sense of self. The second group of registrants had liminoid experiences, allowing them to change the way they saw themselves over time. This group had a growth mindset that believed change was attainable. The third group exhibited fixed mindset, as they either always saw themselves as sex criminals and required no transition or came to see themselves as sex offenders post-punishment.

Originality/value
To the best of the authors’ knowledge, there are no studies that have examined group-level identities among people convicted of sex crimes or what the consequences of group identities have on behavior.
Epistemic fluency in virtual laboratories as flipped classroom’s innovative learning delivery
Authors: Errabo Denis Dyvee , Paguio Alexandra Janine , Enriquez Patrick Andrei 
Published: July 2024

PurposeDesign an innovative Flipped classroom’s Delivery through virtual laboratory.Design/methodology/approachThe fundamental framework of the present investigation is a Participatory Action Research (PAR) design. By merging the impetus of “action.” with the inclusiveness of “participation,” PAR establishes a “network” for collaborative teaching or research. PAR is pertinent to our research because it facilitates the participation of infrastructures and individuals in formulating a critical community. This community encourages critical self-reflection, promotes accountability, redistributes authority, and cultivates confidence in research. PAR fosters constructive transformation in educational environments by utilizing participants' combined insights and experiences to establish a structure for substantive dialogue and proactive measures.FindingsAs virtual laboratories are becoming essential in 21st-century science education, we found groundbreaking evidence that can support our novel approach to enhance the quality and equity in education. Our results show that virtual labs engage scientific goals and practices, develop scientific literacy, foster scientific inquiry and problem-solving, and promote metacognition. The effects of the virtual laboratory can develop high self-efficacy and positive attitudes among students. It improves students' laboratory performance, which we noted from laboratory activities, simulations, and long exam results.Originality/valueThe study offers groundbreaking account to depict epistemic fluency aided by virtual laboratory.
Application of ZnAl layered double hydroxides for the formulation of stable and safe cosmetic pigments
Authors: Wang Xinrui , Hu Xiaomeng , Feng Xiangnan , Han Xinyu , Liu Qi , Li Yueqin 
Published: July 2024

Purpose
This study aims to produce composite pigments, including SHS/ZnAl-LDHs, IDS/ZnAl-LDHs and SNND/ZnAl-LDHs, with improved coloration, enhanced photostability and thermostability and biocompatibility.

Design/methodology/approach
The chemical structures of the composite pigments were characterized by X-ray diffraction spectroscopy and Fourier transform infrared spectroscopy. Photostability and thermal stability were assessed using ultraviolet-visible spectroscopy and colorimetry. The coverage of the dyes was determined through black-and-white tile testing, and specific RGB values were used to indicate color expressiveness. Finally, a four-color eyeshadow was formulated, and safety tests were conducted via human patch test and cellular assays to confirm the safety and reliability of the samples.

Findings
The experimental results demonstrate an enhancement in the photo and thermal stability of the SHS/ZnAl-LDHs, IDS/ZnAl-LDHs and SNND/ZnAl-LDHs composites, along with their superior performance in terms of covering power and color saturation. These composite pigments also exhibit high safety, making them well-suited for cosmetic applications.

Practical implications
The composite pigments based on hydrotalcite can be used in the cosmetic industry without causing any harm to the environment and human health.

Originality/value
The addition of hydrotalcite enables better application of pigments in cosmetics.
Investigating demoulding characteristics of material jetted rapid mould inserts for micro­injection moulding using in­line monitoring and surface metrology
Authors: Gülçür Mert , Isakov Dmitry , Charmet Jérôme , Gibbons Gregory J. 
Published: July 2024

Purpose
This study aims to investigate the demoulding characteristics of material-jetted rapid mould inserts having different surface textures for micro-injection moulding using in-line measurements and surface metrology.

Design/methodology/approach
Material-jetted inserts with the negative cavity of a circular test product were fabricated using different surface finishes and printing configurations, including glossy, matte and vertical settings. In-line measurements included the recording of demoulding forces at 10 kHz, which was necessary to capture the highly-dynamic characteristics. A robust data processing algorithm was used to extract reliable demoulding energies per moulding run. Thermal imaging captured surface temperatures on the inserts after demoulding. Off-line measurements, including focus variation microscopy and scanning electron microscopy, compared surface textures after a total of 60 moulding runs.

Findings
A framework for capturing demoulding energies from material-jetted rapid tools was demonstrated and compared to the literature. Glossy surfaces resulted in significantly reduced demoulding forces compared to the industry standard steel moulds in the literature and their material-jetted counterparts. Minimal changes in the surface textures of the material-jetted inserts were found, which could potentially permit their prolonged usage. Significant correlations between surface temperatures and demoulding energies were demonstrated.

Originality/value
The research presented here addresses the very topical issue of demoulding characteristics of soft, rapid tools, which affect the quality of prototyped products and tool durability. This was done using state-of-the-art, high-speed sensing technologies in conjunction with surface metrology and their durability for the first time in the literature.
Unraveling consumption‐based carbon dioxide emissions: Sectoral analysis and temporal dynamics in G7 economies
Authors: Rasheed Mohsin , Liu Jianhua 
Published: July 2024

AbstractThis research investigates consumption‐based carbon dioxide emissions (CBE) within the Group of Seven (G7) economies from 1990 to 2022, particularly under the Paris Agreement. The main focus of the study is on key determinants such as trade, income, renewable energy consumption, foreign direct investment, and technological innovation. The study aims to unravel the complexities underlying the environmental footprint of consumption. A novel aspect of this research is its intent to fill existing gaps in the literature by providing a sectoral analysis and exploring the temporal dynamics of consumption patterns within these advanced industrial nations. Advanced econometric methods, specifically the Cross‐Section Augmented Autoregressive Distributed Lag (CS‐ARDL), are employed to enhance the robustness and reliability of the analysis. Cointegration relationships among CBE and its determinants shed light on the short and long‐term interdependencies among these factors. Using the Augmented Mean Group (AMG) and Common Correlated Effect Mean Group (CCEMG) methods to conduct robustness checks makes the models even more substantial and ensures the results' validity. The implications of this research are far‐reaching, extending to various stakeholders, including policymakers, businesses, industries, and supply chain decision makers. Our study identifies significant long‐term relationships between CBE and key determinants within G7 economies. The findings emphasize the urgency of adopting strategies that promote the sustainable management of natural resources. As global efforts intensify to address climate change, this research provides practical implications for shaping sustainable policy strategies and environmental initiatives on a global scale.
A comprehensive picture of using standardized nursing languages in long‐term care systems: An integrative review
Authors: Giap Thi‐Thanh‐Tinh , Park Myonghwa , Bui Linh Khanh 
Published: July 2024

AbstractPurposeThis integrative review was conducted to provide a comprehensive picture of the use of standardized nursing languages (SNLs) in long‐term care (LTC) systems.MethodsA comprehensive search was performed with terminological variants of “standardized terminology” and “long‐term care” in eight electronic databases up to December 2021. Eligible studies were further identified by screening the reference lists of publications that met the inclusion criteria. The quality of the included studies was appraised using the Joanna Briggs Institute checklists. The study findings were organized into themes, which represent the focus of the study.FindingsEighty‐one publications that studied 12 SNLs in 17 countries are presented in this review. The Omaha System, NANDA‐I, NIC, and NOC were the most common SNLs. Study foci were classified into five themes: evaluating the applicability of 10 SNLs (n = 22), characterizing nursing care using six SNLs (n = 16), developing core sets and tools based on seven SNLs (n = 15), documenting nursing care by using four SNLs (n = 14), and implementing intervention programs based on six SNLs (n = 14).Conclusions and implications for nursingSNLs can be used for various purposes, and the available evidence supports the expansion of their utilization. Further studies should continue to identify gaps in the existing versions of SNLs to reflect the LTC nursing process in multiple societies. Additionally, the successful use of SNLs requires background knowledge of nursing informatics; therefore, preparation should be started in the nursing curriculum and continued in healthcare facilities, including LTC settings. These research findings will assist healthcare managers, researchers, and policymakers in the LTC field in effectively utilizing SNLs.
Investigating the impact of environmental enrichment on proteome and neurotransmitter‐related profiles in an animal model of Alzheimer's disease
Authors: Nam Yunkwon , Kim Sujin , Park Yong Ho , Kim Byeong‐Hyeon , Shin Soo Jung , Leem Seol Hwa , Park Hyun Ha , Jung Gukhwa , Lee Jeongbeen , Kim Hyung‐Gun , Yoo Doo‐Han , Kim Hak Su , Moon Minho 
Published: July 2024

AbstractAlzheimer's disease (AD) is a neurodegenerative disorder associated with behavioral and cognitive impairments. Unfortunately, the drugs the Food and Drug Administration currently approved for AD have shown low effectiveness in delaying the progression of the disease. The focus has shifted to non‐pharmacological interventions (NPIs) because of the challenges associated with pharmacological treatments for AD. One such intervention is environmental enrichment (EE), which has been reported to restore cognitive decline associated with AD effectively. However, the therapeutic mechanisms by which EE improves symptoms associated with AD remain unclear. Therefore, this study aimed to reveal the mechanisms underlying the alleviating effects of EE on AD symptoms using histological, proteomic, and neurotransmitter‐related analyses. Wild‐type (WT) and 5XFAD mice were maintained in standard housing or EE conditions for 4 weeks. First, we confirmed the mitigating effects of EE on cognitive impairment in an AD animal model. Then, histological analysis revealed that EE reduced Aβ accumulation, neuroinflammation, neuronal death, and synaptic loss in the AD brain. Moreover, proteomic analysis by liquid chromatography–tandem mass spectrometry showed that EE enhanced synapse‐ and neurotransmitter‐related networks and upregulated synapse‐ and neurotransmitter‐related proteins in the AD brain. Furthermore, neurotransmitter‐related analyses showed an increase in acetylcholine and serotonin concentrations as well as a decrease in polyamine concentration in the frontal cortex and hippocampus of 5XFAD mice raised under EE conditions. Our findings demonstrate that EE restores cognitive impairment by alleviating AD pathology and regulating synapse‐related proteins and neurotransmitters. Our study provided neurological evidence for the application of NPIs in treating AD.
Activation of the hypoxia response in the aging cerebrovasculature protects males against cognitive impairment
Authors: Li Peihu , Bi Xiaoman , Xu Dahua , Meng Yuan , Xia Yucheng , Cai Jiale , Shen Yutong , Wang Jiaqi , Chen Jiazhu , Yin Lamei , Wang Bo , Wu Deng , Li Kongning 
Published: July 2024

AbstractAlzheimer's disease (AD) is a neurodegenerative disorder with a distinct sex bias. Age‐related vascular alterations, a hallmark of AD onset and progression, are consistently associated with sexual dimorphism. Here, we conducted an integrative meta‐analysis of 335,803 single‐nucleus transcriptomes and 667 bulk transcriptomes from the vascular system in AD and normal aging to address the underlying sex‐dependent vascular aging in AD. All vascular cell types in male AD patients exhibited an activated hypoxia response and downstream signaling pathways including angiogenesis. The female AD vasculature is characterized by increased antigen presentation and decreased angiogenesis. We further confirmed that these sex‐biased alterations in the cerebral vascular emerged and were primarily determined in the early stages of AD. Sex‐stratified analysis of normal vascular aging revealed that angiogenesis and various stress‐response genes were downregulated concurrently with female aging. Conversely, the hypoxia response increased steadily in males upon aging. An investigation of upstream driver transcription factors (TFs) revealed that altered communication between estrogen receptor alpha (ESR1) and hypoxia induced factors during menopause contributes to the inhibition of angiogenesis during normal female vascular aging. Additionally, inhibition of CREB1, a TF that targets estrogen, is also related to female AD. Overall, our study revealed a distinct cerebral vascular profile in females and males, and revealed novel targets for precision medicine therapy for AD.
Evaluation of artificial intelligence‐generated drug therapy communication skill competencies in medical education
Authors: Sridharan Kannan , Sequeira Reginald P. 
Published: July 2024

AbstractAimsThis study compared three artificial intelligence (AI) platforms' potential to identify drug therapy communication competencies expected of a graduating medical doctor.MethodsWe presented three AI platforms, namely, Poe Assistant©, ChatGPT© and Google Bard©, with structured queries to generate communication skill competencies and case scenarios appropriate for graduating medical doctors. These case scenarios comprised 15 prototypical medical conditions that required drug prescriptions. Two authors independently evaluated the AI‐enhanced clinical encounters, which integrated a diverse range of information to create patient‐centred care plans. Through a consensus‐based approach using a checklist, the communication components generated for each scenario were assessed. The instructions and warnings provided for each case scenario were evaluated by referencing the British National Formulary.ResultsAI platforms demonstrated overlap in competency domains generated, albeit with variations in wording. The domains of knowledge (basic and clinical pharmacology, prescribing, communication and drug safety) were unanimously recognized by all platforms. A broad consensus among Poe Assistant© and ChatGPT© on drug therapy‐related communication issues specific to each case scenario was evident. The consensus primarily encompassed salutation, generic drug prescribed, treatment goals and follow‐up schedules. Differences were observed in patient instruction clarity, listed side effects, warnings and patient empowerment. Google Bard did not provide guidance on patient communication issues.ConclusionsAI platforms recognized competencies with variations in how these were stated. Poe Assistant© and ChatGPT© exhibited alignment of communication issues. However, significant discrepancies were observed in specific skill components, indicating the necessity of human intervention to critically evaluate AI‐generated outputs.
Myo‐inositol trispyrophosphate prevents right ventricular failure and improves survival in monocrotaline‐induced pulmonary hypertension in the rat
Authors: Oknińska Marta , Paterek Aleksandra , Grzanka Małgorzata , Zajda Karolina , Surzykiewicz Mateusz , Rolski Filip , Zambrowska Zuzanna , Torbicki Adam , Kurzyna Marcin , Kieda Claudine , Piekiełko‐Witkowska Agnieszka , Mączewski Michał 
Published: July 2024

AbstractBackground and PurposePulmonary hypertension (PH) results from pulmonary vasculopathy, initially leading to a compensatory right ventricular (RV) hypertrophy, and eventually to RV failure. Hypoxia can trigger both pulmonary vasculopathy and RV failure. Therefore, we tested if myo‐inositol trispyrophosphate (ITPP), which facilitates oxygen dissociation from haemoglobin, can relieve pulmonary vasculopathy and RV hypoxia, and eventually prevent RV failure and mortality in the rat model of monocrotaline‐induced PH.Experimental approachRats were injected with monocrotaline (PH) or saline (control) and received ITPP or placebo for 5 weeks. Serial echocardiograms were obtained to monitor the disease, pressure‐volume loops were recorded and evaluated, myocardial pO2 was measured using a fluorescent probe, and histological and molecular analyses were conducted at the conclusion of the experiment.Key Results and ConclusionsITPP reduced PH‐related mortality. It had no effect on progressive increase in pulmonary vascular resistance, yet significantly relieved intramyocardial RV hypoxia, which was associated with improvement of RV function and reduction of RV wall stress. ITPP also tended to prevent increased hypoxia inducible factor‐1α expression in RV cardiac myocytes but did not affect RV capillary density.ImplicationsOur study suggests that strategies aimed at increasing oxygen delivery to hypoxic RV in PH could potentially be used as adjuncts to other therapies that target pulmonary vessels, thus increasing the ability of the RV to withstand increased afterload and reducing mortality. ITPP may be one such potential therapy.
FP‐Flow: Feature pyramid flow model for fabric defect detection
Authors: Wang Yuanfei , Xu Yang , Yu Zhiqi , Sheng Xiaowei 
Published: July 2024

AbstractFabric defect detection is a crucial aspect of fabric production. At present, deep learning detection methods mostly rely on supervised learning. To tackle this issue, this study proposes an unsupervised fabric defect detection approach based‐on normalising flow. The method only needs to train the mapping of the feature probability distribution of defect‐free samples to a Gaussian distribution. In the inference process, the location of defects can be determined by testing the distance between the probability distribution of image features and the estimated distribution. To adapt to the complex background and various minor defects of the fabric, a feature pyramid structure is adopted. Moreover, considering the gradient vanishing and network degradation caused by deep layers during training, a residual structure is incorporated into the model. Experimental results demonstrate that the feature pyramid flow model outperforms other methods in defect detection across multiple datasets, with an average score rate of 98.7% and 100% for pixel‐level area under the curve (AUC) receiver operating characteristic and image‐level AUC, respectively, compared to an average score rate of 91.1% and 85.4% for other methods.