bluuebunny/crossref_metadata_2025_split huggingface dataset:
The right side of price: evidence of a SNARC-like effect for economic value
Authors: Giuliani Felice , Brunello Loris , Dalmaso Mario , D’Anselmo Anita , Tommasi Luca , Vicovaro Michele 
Published: January 2024

AbstractIt is well known that both numerical and non-numerical magnitudes can be represented horizontally from left to right. Building on this knowledge, here we explored whether a similar spatial representation exists for the economic value of goods. Participants were presented with images of a reference and a target product and classified the economic value of the target as higher or lower than that of the reference (Experiments 1 and 2), or classified the target product as belonging to the same or different semantic category as the reference (Experiment 3). Responses were collected using lateralized keys. Evidence of a SNARC-like effect for economic value emerged, whereby low economic value was associated with the left side of space, and high economic value was associated with the right side of space. Importantly, this spatial representation appeared to be based on external spatial coordinates and only emerged when the economic value was treated as an explicit dimension. Regression analyses also ruled out the potential contributions of other dimensions, such as the presumed physical weight of the target products or their valence. These findings support the hypothesis of a general magnitude representation system.
Meta-analytic factor analysis of the UCLA loneliness scale
Authors: Ozdemir Vildan , Tan Seref 
Published: January 2024

AbstractThe UCLA (University of California, Los Angeles) Loneliness Scale is frequently employed instrument for assessing the structure of loneliness in psychology studies. Although many studies have tested the scale’s factor structure, the literature has produced inconsistent findings or different results. Some studies support a unidimensional structure, while other studies support a multidimensional structure including two-factor, three-factor, five-factor models. Moreover, these dimensions are denoted differently across studies. Hence, this study employs meta-analytical structural equation modeling (MASEM) to investigate the factor structure of the UCLA Loneliness Scale, MASEM provides more precise parameter estimations than conventional structural equation modeling and allows for the synthesis of conflicting findings concerning factor structure. Furthermore, MASEM provides an examination of the factor structure by utilizing correlation matrices from studies in which the scale has been employed but without a specific examination of its factor structures. Consequently, this study analyzed the correlation matrices from 52 studies encompassing 52 correlation matrices. The results of the meta-analysis revealed that the two-factor and second-order three-factor models provided the best fit for the pooled correlation matrix. Even when considering subgroup analyses based on sample size and sample age, which are possible variables that can explain heterogeneity, the three-factor structure of the scale remained consistent. This suggests that different variables may account for the observed heterogeneity.
The ‘Mascara Boys’: Performance, Subversion, and the New Pakistani Masculinity
Authors: Salam-Salmaoui Rauha , Salam Shazrah 
Published: January 2024

AbstractThis study offers an exploration into the performative expressions of gender and masculinity by the "Mascara Boys" in Pakistan. Situating the research within the frameworks of performativity theory and hybrid masculinities, the study investigates how these individuals subvert and challenge established masculinity norms through the strategic use of Instagram as a transgressive digital space. The findings reveal a multifaceted landscape where digital platforms act as both a stage and a catalyst for conversations on gender diversity, both within Pakistan and transnationally. The Mascara Boys emerge as agents of change who navigate complex intersections of socio-cultural expectations to embody a form of hybrid masculinity that is both locally informed and globally resonant. Through their intentional acts, they not only disturb entrenched heteropatriarchal structures but also contribute to a richer, more complex understanding of masculinity. The study concludes that their emergence as practitioners of hybrid masculinity within the Pakistani context signals a significant paradigm shift, urging a re-evaluation of normative gender roles and paving the way for a more inclusive discourse on gender diversity in Pakistan.
Leverage and SMEs financial stability: the role of banking competition
Authors: Agostino Mariarosaria , Errico Lucia , Rondinella Sandro , Trivieri Francesco 
Published: January 2024

AbstractThis work exploits a large panel dataset on Italian manufacturing SMEs to examine the relationship between leverage and firms’ financial stability. Specifically, we evaluate whether and to what extent this link is affected by the degree of competition characterising the local credit market in which firms operate. Using two measures of local banking competition – the H-statistic and the Boone indicator – our evidence indicates that the negative impact of leverage on firms’ financial health is greater for firms operating in more competitive banking markets. A plausible interpretation of this finding is that the competition drawbacks could prevail on its expected advantages, leading banks to be less inclined to establish lending relationships with risky firms, thus exacerbating their financial vulnerability.
Cutaneous Infections by Geotrichum spp.
Authors: Román-Montes Carla M. , Sifuentes-Osornio José , Martínez-Gamboa Areli 
Published: January 2024

Abstract
Purpose of Review
We present the risk factors, clinical presentation, and current recommendations for diagnosing and treating cutaneous infections due to Geotrichum spp.

Recent Findings
Skin infections caused by Geotrichum spp. are infrequent. G. candidum and G. klebahnii are the only species of the genus responsible for human infections. In immunocompetent patients, these infections occur due to severe trauma or burns, while in immunosuppressed patients, they are mainly a consequence of dissemination.

Summary
Geotrichum spp. infection is challenging to discriminate with colonization because it is a ubiquitous skin colonizer, in such a way that clinical suspicion is essential to achieve the diagnosis. There are no breakpoints or epidemiological cut-off values to interpret antifungal susceptibility tests. Amphotericin B and voriconazole have been the most widely used antifungals in treatment. Active surveillance studies are required to understand these infections’ characteristics and real burden.
Fetal lung growth predicts the risk for early-life respiratory infections and childhood asthma
Authors: Zazara Dimitra E. , Giannou Olympia , Schepanski Steven , Pagenkemper Mirja , Giannou Anastasios D. , Pincus Maike , Belios Ioannis , Bonn Stefan , Muntau Ania C. , Hecher Kurt , Diemert Anke , Arck Petra Clara 
Published: January 2024

Abstract
Background
Early-life respiratory infections and asthma are major health burdens during childhood. Markers predicting an increased risk for early-life respiratory diseases are sparse. Here, we identified the predictive value of ultrasound-monitored fetal lung growth for the risk of early-life respiratory infections and asthma.

Methods
Fetal lung size was serially assessed at standardized time points by transabdominal ultrasound in pregnant women participating in a pregnancy cohort. Correlations between fetal lung growth and respiratory infections in infancy or early-onset asthma at five years were examined. Machine-learning models relying on extreme gradient boosting regressor or classifier algorithms were developed to predict respiratory infection or asthma risk based on fetal lung growth. For model development and validation, study participants were randomly divided into a training and a testing group, respectively, by the employed algorithm.

Results
Enhanced fetal lung growth throughout pregnancy predicted a lower early-life respiratory infection risk. Male sex was associated with a higher risk for respiratory infections in infancy. Fetal lung growth could also predict the risk of asthma at five years of age. We designed three machine-learning models to predict the risk and number of infections in infancy as well as the risk of early-onset asthma. The models’ R2 values were 0.92, 0.90 and 0.93, respectively, underscoring a high accuracy and agreement between the actual and predicted values. Influential variables included known risk factors and novel predictors, such as ultrasound-monitored fetal lung growth.

Conclusion
Sonographic monitoring of fetal lung growth allows to predict the risk for early-life respiratory infections and asthma.

Graphical abstract
Consumers’ ambiguous perceptions of advertising disclosures in influencer marketing: Disentangling the effects on current and future social media engagement
Authors: Waltenrath Adrian 
Published: January 2024

AbstractBased on a large real-world dataset comprising Instagram posts of popular influencers, this study empirically analyzes the impact of disclosed and undisclosed advertising on consumers’ engagement with (a) the advertisement and (b) future non-advertising posts of the same author. As extant research reports inconsistent effects of ad disclosures based on inferred motives, persuasion knowledge, and source credibility, this study develops a conceptual framework incorporating these theoretical concepts. To identify undisclosed advertisements, we use data from regions with proper disclosure culture to train a model to predict if posts are advertising. Based on the predictions for > 65,000 posts of 239 macro-influencers, we find that advertising posts gather less engagement than non-advertising posts. Regarding immediate ad engagement, we find that disclosed ads gather less engagement than undisclosed ads. Contrastingly, when analyzing future engagement, we identify positive persistent effects of disclosed advertising and negative persistent effects of undisclosed advertising on consumers’ engagement with future posts of the same author. We conclude that source credibility explains the effect of disclosures on future posts, while the Persuasion Knowledge Model can explain the effect of disclosures on the current advertisement. Thus, consumers’ coping strategies triggered by activated persuasion knowledge are mostly limited to the advertisement. Our findings can explain the opposing results of extant research. From a managerial perspective, we find that by not disclosing advertising posts, influencers and marketers increase an ad’s engagement levels at the expense of persistently lowered attitudes. Conversely, in the long run, they may benefit from transparent disclosures.
Nature of Oxides in Al–Mg Alloys
Authors: Niu Zhichao , Wang Shihao , Gao Feng , Fan Zhongyun 
Published: January 2024

AbstractActing as substrates for heterogeneous nucleation, native oxides in Al–Mg alloys have shown their potential for grain refinement. However, the limited knowledge about the nature of the oxides in Al–Mg alloys impedes the widespread application as native grain refiners. The aim of this work is to comprehensively investigate the native oxides in Al–Mg alloys through electron microscopy. Our results show that the predominant inclusions in Al–Mg alloys are oxides in three types of oxide films at the micrometer scales: young films, old films and oxide skins. All oxide films consist of discrete oxide particles of three types in nanometer scale depending on the Mg contents: γAl2O3 (< 0.4 wt.%), MgAl2O4 (0.08–3.5 wt.%) and MgO (> 2 wt.%). Specifically, MgAl2O4 particles have sizes ranging from a few tens to a few hundreds nanometer and possess an elementary shape of octahedron faceted by {111} planes. In Al–Mg alloys, the native oxides have a lognormal size distribution, with the average mean size fluctuating in accordance with the oxide configurations as Mg content varies. The agglomerating feature causes inhomogeneous sampling, and dual-peak lognormal curves are found for low-Mg-content alloys (0.08/0.4%), which could be eliminated by increasing the Mg content (2.0/3.5%) or by using the high-shear melt conditioning (HSMC) technology. Understanding the native oxides in Al–Mg alloys shall provide instructions on their application in grain refinement.
Classical symmetries of the Klein–Gordon–Zakharov equations with time-dependent variable coefficients
Authors: Devi Preeti , Guleria Abhishek 
Published: January 2024

AbstractIn this article, we employ the group-theoretic methods to explore the Lie symmetries of the Klein–Gordon–Zakharov equations, which include time-dependent coefficients. We obtain the Lie point symmetries admitted by the Klein–Gordon–Zakharov equations along with the forms of variable coefficients. From the resulting symmetries, we construct similarity reductions.The similarity reductions are further analyzed using the power series method/approach and furnished the series solutions. Additionally, the convergence of the series solutions has been reported.
Do Exercise-Based Prevention Programs Reduce Injury in Endurance Runners? A Systematic Review and Meta-Analysis
Authors: Wu Han , Brooke-Wavell Katherine , Fong Daniel T. P. , Paquette Max R. , Blagrove Richard C. 
Published: January 2024

Abstract
Background
Endurance running is a popular sport and recreational activity yet is associated with a high prevalence of injury. Running related injuries (RRIs) are a leading cause of drop-out and represent a substantial financial burden to runners and healthcare services. There is clear evidence for the use of exercise-based injury prevention programs in games-based and youth sport settings, yet the research investigating the use of exercise to reduce injury risk in endurance runners has not been adequately reviewed recently.

Objectives
The aim of this review and meta-analysis was to systematically summarize the current research that has investigated the effect of exercise-based prevention programs and their state of supervision on the risk of RRIs in endurance runners.

Methods
Three databases were searched for relevant studies. Selection and review were completed by two independent reviewers using the following inclusion criteria: (1) study population used endurance running training for health, occupational, or performance outcome(s); (2) participants performed running as their main form of exercise (> 50% of their total training time); (3) study was a randomized controlled trial; (4) a non-running-based exercise intervention was used; (5) a running-only or placebo exercise control group was included; (6) injury rate or incidence was reported; (7) injuries were recorded prospectively alongside the exercise training. Two meta-analyses were conducted using random-effects models, one based on log risk ratio and one based on log incidence rate ratio. The Cochrane Risk of Bias Assessment Tool 2 was used to evaluate the quality of studies and the Grading of Recommendations Assessment, Development and Evaluations approach was employed to grade the certainty of evidence.

Results
A total of nine articles containing 1904 participants were included in analysis. Overall pooled results showed no significant differences between intervention and control groups in injury risk (z = − 1.60; p = 0.110) and injury rate (z = − 0.98; p = 0.329), while a post hoc analysis evaluating supervised interventions only showed that injury risk was significantly lower in the intervention group compared to the control group (z = − 3.75, p < 0.001). Risk of bias assessment revealed that seven studies included in the analysis were of low quality.

Conclusions
Exercise-based interventions do not appear to reduce the risk and rate of running-related injuries. Supervision may be essential for exercise-based intervention programs to reduce risk of RRIs, possibly due to increased compliance. Studies with more robust designs that include supervised exercise interventions should be prioritized in the future.

Trial Registry
Clinical Trial Registration: PROSPERO CRD42021211274.
Breaking the Law of Inertia for Students with Poor Grit and Achievement: The Predictive Mechanism of Grit on the Short-Term and Long-Term Achievement
Authors: Weng Min-Chieh , Liao Chen-Hsuan , Kwok Oi-Man , Wu Jiun-Yu 
Published: January 2024

AbstractThis study aimed to examine the predictive validity of junior high students’ grit (including perseverance of effort (PE) and consistency of interest (CI)) on their short-term and long-term academic achievements using a longitudinal survey design under the structural equation modeling framework. Data were collected on 236 junior high students (56.3% boys) in Taiwan across three years. The analytical results showed that PE successively influences students’ semester grades (as short-term achievements) in a unidirectional way. However, CI could not predict the consecutive semester grades. Furthermore, we found that both PE and CI did not directly predict students’ achievement on the scores of the Comprehensive Assessment Program (CAP, as long-term achievements). Only PE can indirectly associate with the CAP scores via students’ successive semester grades. The study results can be explained by the goal hierarchy of grit, where achieving good semester grades can be treated as the lower-order goals that are cohesively aligned with the superordinate goal to do well in the CAP. Strategies for fostering students’ perseverance of effort and implications for future research on educational equity are discussed.
Is there a role for [18F]-FMISO PET to guide dose adaptive radiotherapy in head and neck cancer? A review of the literature
Authors: Sambasivan Khrishanthne , Barrington Sally F. , Connor Steve E. J. , Witney Timothy H. , Blower Philip J. , Urbano Teresa Guerrero 
Published: January 2024

Abstract
Purpose
Hypoxia is a major cause of radioresistance in head and neck cancer (HNC), resulting in treatment failure and disease recurrence. 18F-fluoromisonidazole ([18F]FMISO) PET has been proposed as a means of localising intratumoural hypoxia in HNC so that radiotherapy can be specifically escalated in hypoxic regions. This concept may be challenging to implement in routine clinical practice however, given that [18F]FMISO PET is costly, time consuming and difficult to access. The aim of this review was to summarise clinical studies involving [18F]FMISO PET and to appraise the evidence for its role in guiding radiotherapy treatment in HNC.

Methods
A comprehensive literature search was conducted on PubMed and Web of Science databases. Studies investigating [18F]FMISO PET in newly diagnosed HNC patients were considered eligible for review.

Results
We found the following important results from our literature review: (1) Studies have demonstrated a correlation between [18F]FMISO PET and other hypoxia biomarkers, although the results are not consistent enough to propose a proxy biomarker of [18F]FMISO PET. (2) [18F]FMISO PET uptake changes during a course of radiotherapy treatment, suggesting that imaging should be repeated during treatment. (3) Tumour recurrences do not always occur within the pretreatment hypoxic volume on [18F]FMISO PET. (4) Dose modification studies using [18F]FMISO PET are in a pilot phase.

Conclusions
Our results show that currently there is insufficient evidence to propose [18F]FMISO PET for radiotherapy dose adaptation in HNC in a routine clinical setting. Part of the challenge is that hypoxia is a dynamic phenomenon, and thus areas identified on a single scan may not be representative. At present, it is anticipated that [18F]FMISO PET will remain useful within the research setting only.
Undernutrition in obese older adults by fat percentage
Authors: Bozkurt Meris Esra , Erdogan Tugba , Catikkas Nezahat Muge , Ozkok Serdar , Kilic Cihan , Bahat Gulistan , Karan Mehmet Akif 
Published: January 2024

Abstract
Objective
The prevalence of obesity by fat percentage has seen a steady increase in older adults in recent years, secondary to increases in fat mass in body composition, even in healthy aging. Malnutrition is a common geriatric syndrome with serious clinical outcomes. Increases in fat mass and waist circumference with healthy aging should not prevent the risk of malnutrition from being masked. Malnutrition is often ignored in obese older people due to low BMI cut-off values in many screening tests. The present study seeks to raise awareness of the need to assess the frequency of undernutrition and related factors in obese older adults.

Methods
The data of 2013 community-dwelling patients aged ≥ 60 years who applied to a university geriatrics outpatient clinic between April 2012 and November 2022 were analyzed retrospectively, of which 296 were found to be obese based on fat percentage and were included in the study. Demographic data and the presence of any geriatric syndromes were obtained retrospectively from the patient files, functional status was assessed using the KATZ Activities of Daily Living (ADL) Scale and the LAWTON-BRODY Instrumental Activities of Daily Living Scale (IADL); frailty was screened using FRAIL-scale; and the sample was assessed for malnutrition using the Mini Nutritional Assessment-Short Form (MNA-SF), with undernutrition defined as an MNA-SF score of $$\le 11.$$

≤
11
.

The patients’ fat percentage and weight were measured using a bioimpedance analyzer. Fatty obesity was defined using the Zoico methodology (fat percentage $$\ge$$
≥
27.3% for males, $$\ge$$
≥
40.7% for females)$$,$$
,
handgrip strength (HGS) was measured using a hand dynamometer, and probable sarcopenia was defined as low HGS based on regional cut-off values (35 kg for males, 20 kg for females).

Results
The mean age of the 296 fatty obese older adults (102 males/194 females) was 74.4 + 6.5 years, and the median fat was 42.2% (27.4–59.5). Undernutrition was detected in 19.6% of the patients based on MNA-SF screening. A univariate analysis revealed age, sex, educational status, daily physical activity status, depression, difficulty in swallowing, chewing difficulty, probable sarcopenia, number of chronic diseases, and IADL to be associated with undernutrition, while a multivariate logistic regression analysis revealed depression [OR = 3.662, 95% CI (1.448–9.013), p = 0.005] and daily physical activity status [OR:0.601, 95% CI (0.417–0.867), p = 0.006] to be independently associated with malnutrition in obese older adults based on fat percentage.

Conclusion
The present study clarifies the significance of undernutrition in obese older adults also in our country, and recommends undernutrition screening to be carried out, by fat percentage, on obese older adults, especially with depression and low daily physical activity.
Improving Sleep to Improve Stress Resilience
Authors: Lo Martire Viviana , Berteotti Chiara , Zoccoli Giovanna , Bastianini Stefano 
Published: January 2024

AbstractPurpose of ReviewThe neuroendocrine stress response is a natural process of our body which, however, might become toxic if not properly turned on and off. Resilience is the ability to adapt to adverse situations and, particularly, to cope with uncontrolled stress. Resilience and stress are two opposite faces of the same coin, and both are deeply linked to sleep: low resilience means higher stress and, through that, more sleep disorders. The aim of the present paper is to review the complex relationship between these actors and to highlight the possible positive role of good sleep in contrasting chronic stress situations.Recent FindingsPromotion of cognitive-behavioral therapy for insomnia patients improves sleep quality and, through that, produces lower general stress, lower depressive symptom severity, and better global health.SummarySleep is a modifiable behavior and, according to recent studies, its improvement might enhance resilience and, in turn, reduce stress.