bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crafting an urban restorative model from bibliometric analysis of neuro-urbanism literature
Authors: Elsayed Mirame , Elshater Abeer , Shehayeb Dina , Afifi Samy 
Published: December 2024

PurposeNeuro-urbanism is an emerging field focused on addressing global urban challenges by examining the impact of urban living on stress levels and mental well-being. The restorative environment approach has been widely applied to measure stress and mental health outcomes. Although there is a recognised relationship between neuro-urbanism and restorative environments, further exploration of literature is needed. This paper aims to propose a conceptual urban restorative model that leverages neuro-urbanism to explore the potential of various urban space typologies and their associated urban design qualities in fostering restorative environments.Design/methodology/approachThis review article utilised VOSviewer to conduct a bibliometric analysis of data from Scopus and PubMed, focusing on neuro-urbanism and restorative environments. Our study explored the intersection of neuroscience and urbanism in designing environments that enhance mental well-being by mapping keyword co-occurrences and analysing citation networks. It identified research clusters, emerging trends and literature gaps, offering a detailed overview of how these fields intersect and influence each other.FindingsOur findings have revealed significant links between these fields, paving the way for the proposed restorative model. This model, derived from the literature, outlines the types of restorative environments, managing domains and theories integrating intangible and tangible urban design qualities using features and variables.Research limitations/implicationsThis study has limitations, as the proposed urban restorative model was developed using data from a literature review of databases such as Scopus and PubMed without testing its application in a real-world case study. Nevertheless, the urban restorative model provides valuable insights that can support urban designers, planners and public health organisations in evaluating restorative environments, which may enhance mental well-being and reduce stress in urban settings.Originality/valueThis research contributes to the broader understanding of how urban design can influence mental well-being and provides actionable keys for improving the quality of life in urban settings.
Measuring consumer perceptions towards S-commerce: scale development and validation
Authors: Vij Sandeep , Kaur Balpreet 
Published: December 2024

PurposeThis paper aims to develop and validate a comprehensive scale for measuring consumer perceptions towards social commerce (S-Commerce). With the growing prominence of social media platforms in electronic commerce (e-commerce), understanding consumer perceptions and attitudes is essential for businesses and researchers alike.Design/methodology/approachThe scale development process involved an extensive literature review and expert assessments to construct a robust measurement tool. Subsequently, the scale was administered to a diverse sample of respondents, and confirmatory factor analysis was performed to assess its reliability and validity.FindingsThe results confirm the scale’s internal consistency and discriminant validity, contributing to making it a valuable instrument for capturing consumer perceptions towards S-commerce. Eight factors were explored using exploratory factor analysis, namely, “satisfaction and advocacy of S-commerce,” “usability and enjoyment of S-commerce,” “trust and familiarity in S-commerce,” “trust in S-commerce policies,” “familiarity with S-commerce platforms,” “financial trust and security in S-commerce,” “price and rating influence on S-commerce shopping” and “perceived value and social expectations in S-commerce.”Practical implicationsThis research contributes to understanding S-commerce from a consumer perspective, aiding businesses in tailoring their strategies and enhancing the academic discourse on this evolving e-commerce phenomenon.Originality/valueThis study primarily develops a comprehensive scale to measure consumer perceptions of S-commerce sites, contributing to a deeper understanding of the factors driving consumer perceptions in this evolving digital landscape.
Novel bioabsorbable, low‐dose rate brachytherapy device (CivaSheet®) with radical prostatectomy and adjuvant external beam radiation for the management of prostate cancer
Authors: Okhawere Kennedy E. , Razdan Shirin , Beksac Alp Tuna , Saini Indu , Zuluaga Laura , Meilika Kirolos , Ucpinar Burak , Sheu Ren‐Dih , Mehrazin Reza , Sfakianos John , Tewari Ashutosh , Stock Richard G. , Badani Ketan 
Published: December 2024

ObjectiveTo investigate the safety and cancer control of a novel bioabsorbable, low‐dose rate brachytherapy device, CivaSheet® (CivaTech Oncology Inc., Durham, NC, USA), in combination with radical prostatectomy (RP) with or without adjuvant external beam radiation therapy (EBRT) for the management of prostate cancer (PCa).Patients and MethodsThis is an initial, single‐centre experience, two‐dose level, two‐stage study conducted on patients with intermediate‐ and high‐risk PCa. The CivaSheet was implanted during RP, followed by adjuvant EBRT in patients with adverse pathological features. Toxicities and peri‐ and postoperative complications were assessed. Biochemical recurrence (BCR) at the 6‐month follow‐up after EBRT was also evaluated.ResultsSix patients were enrolled, with a median (range) age of 56 (53–71) years. No intraoperative complications occurred. No dose‐limiting toxicities were observed at a maximum tested dose of 75 Gy. BCR occurred in one patient at 6 months, while another patient had residual disease and metastasis at 6 months. All patients reported having postoperative erectile dysfunction and one patient experienced urinary incontinence after EBRT.ConclusionsThis study demonstrated the feasibility and safety of CivaSheet combined with RP and adjuvant EBRT for high‐risk PCa. The short‐term toxicity profile was well‐tolerated, supporting further prospective evaluation with clinical trials.
Endogenous equity shares in duopoly markets with product differentiation
Authors: Li Yi 
Published: December 2024

AbstractFirms can form partial passive ownership arrangements by acquiring equity shares in competitors' profits. We consider a duopoly model in which products are differentiated along both vertical and horizontal dimensions and one firm may acquire the other firm's equity shares before they engage in strategic competition. We identify equilibrium equity shares and characterize how the choice of equity shares depends on three previously unexplored factors: (i) the size of the market, (ii) the degree of horizontal product differentiation and (iii) the degree of vertical product differentiation. Whether an increase in the size of the market increases firm's incentive to hold a stake in the rival depends on whether the acquiring firm is a high‐quality firm or a low‐quality firm. The effect of vertical product differentiation also depends on the type of the acquiring firm, high‐quality vis‐à‐vis low‐quality. On the contrary, an increase in horizontal product differentiation can increase firm's incentive to hold a stake in the rival, irrespective of the type of the acquiring firm. We also find that the equilibrium levels of consumer welfare and social welfare may be lower compared to the case of no partial passive ownership.
Development of a model predicting falls in older emergency department patients using smartphone‐based mobility measures
Authors: Suffoletto Brian , Kim David , Toth Caitlin , Mayer Waverly , Ashenburg Nick , Lin Michelle , Losak Michael 
Published: December 2024

AbstractObjectiveWhile emergency departments (EDs) are crucial for identifying patients at risk for falls, existing fall risk measures are often inaccurate. This study aimed to assess whether iPhone sensor‐based mobility measures collected after ED discharge can improve fall prediction compared with traditional ED‐based screening measures.MethodsThis single‐center, observational cohort study recruited ED patients aged 60 or older who owned an iPhone. Participants completed baseline assessments, downloaded a custom app to track mobility measures from the iPhone, and were followed for 90 days post‐discharge. Fall outcomes were self‐reported via the app or follow‐up phone calls. Logistic regression and the LASSO technique were employed to identify significant predictors. The discriminative ability of the models was assessed by comparing the C‐statistics.ResultsOf the 149 participants enrolled, 76.5% (N = 114) provided at least 7 days of post‐discharge iPhone sensor‐based mobility data. The cohort had a mean age of 73 years, with 16.7% (N = 19) experiencing a fall. Participants who fell showed a significantly greater increase in daily steps over time compared with those who did not (p = 0.002). The extended logistic regression model, by incorporating mean gait asymmetry and change in step count, demonstrated a higher but nonsignificant improvement in discriminative ability (C‐statistic = 0.84) compared with the base model (C‐statistic = 0.79).ConclusionsThis study demonstrates that iPhone mobility measures collected after ED discharge can enhance fall prediction relative to self‐reported fall risk screening questions in older adults. The strongest mobility predictors were gait asymmetry and changes in step count. While the findings suggest that post‐discharge mobility monitoring could improve fall prevention strategies, further validation in diverse populations is necessary.
Evaluating the effectiveness of the education program developed for the empowerment of new graduate nurses: A randomized controlled trial
Authors: Sarıköse Seda , Çelik Sevilay Şenol 
Published: December 2024

AbstractPurposeTo evaluate the effectiveness of the education program developed based on the structural empowerment (SE) and psychological empowerment (PE) theories and flipped classroom model for the empowerment of new graduate nurses (NGNs).DesignSingle‐center, parallel‐group, randomized controlled trial.MethodsThe study was conducted between June 2021 and September 2023 in two phases: developing the education program to empower NGNs and evaluating its effectiveness. An education program consisting of two parts, online and face‐to‐face, was developed. The online part consists of eight modules implemented for two weeks. The face‐to‐face part was implemented for two days and included the in‐class activities. NGNs were randomly assigned to the intervention group (n: 32) and control group (n: 32). An education program was applied to the intervention group, whereas the control group continued their routine orientation program. A range of outcome measures of SE, PE, and education programs' effectiveness were evaluated. Data were analyzed using descriptive, chi‐squared, and t‐tests.ResultsThe study determined that the intervention and control groups showed homogeneous distribution in the pretest. A statistically significant difference was identified between the intervention and control groups regarding the mean scores of PE and SE three months following the implementation of the education program, and the total mean score of the intervention group was higher.ConclusionThe education program developed to empower NGNs was a highly effective intervention in increasing nurses' perceptions of SE and PE. There is a need to carry out studies and activities to disseminate this program.Clinical RelevanceThe findings of this study will guide educators, researchers, and administrators in future strategies and innovative programs for empowering NGNs.
Incidental Vocabulary Acquisition Through Captioned Viewing: A Meta‐Analysis
Authors: Kurokawa Satsuki , Hein Aung Myo , Uchihara Takumi 
Published: December 2024

AbstractSecond language (L2) viewing with captions (i.e., L2 on‐screen text) is now a proliferating as well as promising area of L2 acquisition research. The goal of the present meta‐analysis was to examine (a) the relationship between captioned viewing and incidental vocabulary learning and (b) what variables related to learners, treatment, methodology, and vocabulary tests moderate the captioning effect. Synthesizing 89 effect sizes from 49 primary studies (i.e., independent experiments), we fitted a multilevel meta‐analysis model with restricted maximum likelihood estimation to calculate the overall effect size based on a standardized mean difference of gain scores between captioned viewing and uncaptioned viewing groups. The results showed a medium effect of captioning on L2 vocabulary learning, g = 0.56, p <.001. Moderator analysis indicated moderating effects of instructional level, target audience of video materials, and administration of vocabulary pretest. These results are discussed with the aim of guiding future research and language learning through viewing.
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction
Authors: Weng Zihang , Liu Chenglong , Du Yuchuan , Wu Difei , Leng Zhen 
Published: December 2024

AbstractThe pavement skid resistance is crucial for ensuring driving safety. However, the reproducibility and comparability of field measurements are constrained by various influencing factors. One solution to these constraints is utilizing laser‐based 3D pavement data, which are notably stable and can be employed to estimate pavement skid resistance indirectly. However, the integration of tire–road friction mechanisms and deep neural networks has not been fully studied. This study employed spatial‐channel attention mechanisms to integrate frictional domain knowledge and convolutional neural networks (CNNs) that predict the friction coefficient as the output. The models’ inputs include 3D texture data, corresponding finite element (FE) simulation outcomes, and 2D wavelet decomposition outcomes. An additional spatial attention (ASA) mechanism guided the CNNs to focus on the tire–road contact region, using tire–road contact stress from FE simulation as domain knowledge. Multi‐scale channel attention (MSCA) mechanisms enabled the CNNs to learn the channel weights of 2D‐wavelet‐based multi‐scale inputs, thereby assessing the contribution of different texture scales to tire–road friction. A multi‐attention and feature fusion mechanism was designed, and the performances of various combinations were compared. The results showed that the fusion of ASA and MSCA achieved the best performance, with a regression R2 of 0.8470, which was a 20.25% improvement over the baseline model.
Identification of fossil juniper seeds from Rancho La Brea (California, USA): drought and extirpation in the Late Pleistocene
Authors: George Jessie , Dimson Monica , Dunn Regan E. , Lindsey Emily L. , Farrell Aisling B. , Aguilar Brenda Paola , MacDonald Glen M. 
Published: December 2024

Summary

Juniperus spp. are keystone shrubs in western North America and important climatic indicators in paleo‐records. However, a lack of taxonomic resolution among fossil species limits our ability to track past environmental changes. Plant macrofossils at Rancho La Brea (RLB) allow for reconstructions of juniper occurrence to species across 60 000 yr.

We use microscopy, image analysis, species distribution modeling (SDM), and radiocarbon dating to identify an unknown Juniperus species at RLB and put it into chronological context with fossil Juniperus californica at the site to infer past environmental conditions.

We identify the unknown taxon as Juniperus scopulorum Sargent, 1897. The Pleistocene occurrence of this species in California expands its known distribution and documents its extirpation. Temporal ranges of the two fossil junipers alternate, revealing a pattern of differential climatic sensitivity throughout the end of the Pleistocene.

Occurrence patterns suggest sensitivity to temperature, moisture availability, and the presence of two mega‐droughts at c. 48–44.5 ka and c. 29.3–25.2 ka. Extirpation of both taxa by c. 13 ka is likely driven by climate, megafaunal extinction, and increasing fire. The extirpation of fossil junipers during these past climatic events demonstrates vulnerability of juniper species in the face of global change.
MdHY5 positively regulates cold tolerance in apple by integrating the auxin and abscisic acid pathways
Authors: Liu Xiaomin , Wei Jiangtong , Li Sujuan , Li Jiang , Cao Huifang , Huang Dong , Zhang Danni , Zhang Zhijun , Gao Tengteng , Zhang Ying , Ma Fengwang , Li Chao 
Published: December 2024

Summary
Low‐temperature stress causes various types of physiological and biochemical damage to plants. The basic leucine zipper (bZIP) family transcription factor HY5 plays a significant role in multiple stress responses in plants.
Here, cold stress was found to induce the upregulation of MdHY5 expression, which, in turn, positively regulates the cold tolerance of apple (Malus domestica). MdHY5 directly interacts the promoters of MdGH3‐2/12 (auxin‐amido synthetase) and inhibits their expression. However, low‐temperature stress inhibits the regulation of MdGH3‐2/12 by MdHY5, which suppresses the increase in indole‐3‐acetic acid (IAA) mediated by the MdHY5‐MdGH3‐2/12 module.
Alternatively, MdHY5 directly interacts with the promoter of MdNCED2, a crucial enzyme in the biosynthesis of abscisic acid (ABA), thereby activating its expression. Additionally, cold stress enhances the regulation of MdNCED2 by MdHY5, which leads to the promotion of the increase in ABA mediated by the MdHY5‐MdNCED2 module. Therefore, under low‐temperature stress, MdHY5 reduces the ratio of IAA : ABA within apple plants by regulating MdGH3‐2/12 and MdNCED2, thereby indirectly promoting the accumulation of anthocyanins, which further improves the cold tolerance of apple.
This study establishes a theoretical framework for the multiple roles and regulatory mechanisms of HY5 in integrating the IAA and ABA pathways under cold stress.
Billing for Exercise Is Medicine: An Analysis of Reimbursement Trends for Physical Activity–Related Billing Codes
Authors: Carr Lucas J. , Marcussen Britt , Slayman Tyler , Wu Yin , Bond Dale S. 
Published: December 2024

Background: Physical inactivity is a significant health risk factor linked to chronic diseases and premature death. To address this, initiatives like Exercise is Medicine® aim to promote physical activity in health care systems. However, integrating physical activity counseling into clinical practice faces barriers such as limited reimbursement. Understanding billing practices and reimbursement rates for physical activity counseling is crucial for its integration into health care. Methods: This study used 12 months of billing data from a large midwestern US hospital. Variables included charges, charge amounts, primary payors, reimbursement rates, and denial rates associated with International Classification of Diseases-10 diagnosis codes, and Evaluation and Management billing codes for physical activity counseling. Logistic regression analysis identified factors associated with denial rates. Results: Over 12 months, 19,366 lifestyle-related charges were submitted, totaling $7,842,845. Of these, 5.28% were denied, amounting to $414,446. The most common International Classification of Diseases-10 codes were “obesity” (38.8%) and “sedentary lifestyle” (32.6%), while the most common Evaluation and Management codes were for established outpatient office visits. Charges were mainly submitted to employer-paid insurance (43.5%), Medicaid (22.2%), and Medicare (21.9%). Higher odds of denial were associated with newer patients, shorter visit lengths, and the sedentary lifestyle code. Conclusion: This study provides novel data on the use, reimbursement, and denial rates of physical activity counseling billing codes in a large health care system. Physical activity counseling-related charges are rarely denied by third-party payors. Further research is needed to determine if these findings are generalizable to other US health care systems.
Trapezius Muscle Electromyographic Activity in Lawn-Mower Exercise: Standing Versus Quadruped
Authors: Ecemıs Zeynep Berfu , Cobanoglu Gamze , Oksuz Burcu Sena , Kaya Betul , Guzel Nevin A. , Kafa Baris , Kafa Nihan 
Published: December 2024

Context: In shoulder rehabilitation, exercises that reduce upper trapezius (UT) activity and optimize the trapezius muscle activation rate reduce the symptoms of shoulder pathologies. One such exercise, the lawn-mower (LM) exercise, is frequently used in scapular rehabilitation protocols due to its multijoint, multiplanar, and kinetic chain-based nature. Design/Objective: This study aimed to compare trapezius muscle activation levels and ratios during the LM exercise in standing and quadruped positions through a randomized controlled trial. Methods: Eighteen healthy volunteers (mean age [SD] = 25 [5] y, 10 women and 8 men, mean body mass index [SD] = 22.91 [2.59] kg/m2) participated in the study, and surface electromyography was employed to measure trapezius muscle activity during quadruped LM (QLM) and standing LM (SLM) exercises. The data were normalized as a percentage of maximal voluntary contraction. Results: The study revealed significantly lower UT activity (percentage of maximal voluntary contraction) during QLM compared with SLM (P < .05) in concentric and isometric phases. Conversely, QLM exhibited significantly higher activation of the middle trapezius (MT) and lower trapezius (LT) in all phases when compared with SLM (P < .05). UT/MT and UT/LT ratios were also significantly lower in all QLM phases compared with SLM (P < .05). Conclusion: Study findings suggest that quadruped exercises reduce UT activation while promoting more balanced MT and LT muscle activation. This balance is essential for shoulder rehabilitation, especially in cases requiring minimal UT activation and maximal MT and LT activation. In cases where a balanced trapezius muscle activation pattern is required, including QLM exercises rather than SLM exercises may be more efficient.
Social determinants of health as risk factors for keratoconus in the All of Us database
Authors: Tan Caleb , Puran Allan I , Santina Ahmad , Yu Fei , Kitayama Ken , Tseng Victoria L , Coleman Anne L 
Published: December 2024

Background/aimsClinical risk factors for keratoconus (KCN) have previously been established. While the impact of the social determinants of health on the epidemiology and pathophysiology of KCN has been explored, further study of these associations is needed in large and diverse populations. This cross-sectional study determines how education level and income impact the prevalence of KCN in the USA using the National Institutes of Health ‘All of Us’ database.MethodsExposures included the highest level of education and annual household income. Multivariable logistic regression was used to examine the odds of KCN diagnosis at different levels of education and income, adjusting for sex assigned at birth, race, ethnicity, age, atopic conditions and eyecare access.ResultsThe overall prevalence of KCN was 0.17% (429/255 334). In multivariable logistic regression, individuals with more than a high school education had a greater risk of having KCN than those with less than a high school equivalent (college 1–3 years: adjusted OR (aOR): 1.96; 95% CI 1.46 to 2.65;college graduate or advanced degree: aOR:2.19; 95% CI 1.61 to 3.00). There were no significant associations between income level and odds of keratoconus.ConclusionIn the study population, higher education level was associated with an increased likelihood of keratoconus, while no correlation was seen between income and KCN prevalence. After adjusting for access to eye care in a secondary analysis, there was an association between increased education level and increased prevalence of KCN. Further studies are needed to fully understand the mechanism of this finding such as increased levels of dry eye secondary to computer vision syndrome in highly educated people.