bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accessing the efficacy of green growth, energy efficiency, and green innovation for environmental performance in top manufacturing nations in the framework of sustainable development
Authors: Javed Aamir , Subhani Bilal Haider , Javed Asif , Rapposelli Agnese 
Published: June 2024

AbstractIn recent years, the quality of the environment has declined dramatically as a result of human activities, which threaten the sustainability of our ecosystem. In this context, a number of earlier studies have investigated the environmental problems through the lens of different environmental indicators such as ecological footprint and carbon dioxide emissions. However, it is possible that by taking these factors into account, the supply side of environmental quality will be neglected. This research seeks to address this deficiency by investigating the impact of green growth, energy efficiency, green technology innovation, economic growth, trade openness, and human capital on the level of load capacity factor. This indicator places equal emphasis on the supply and demand sides of the ecosystem by taking into account both ecological footprint and bio capacity. In this setting, the present study makes use of CS-ARDL model for the top 10 manufacturing countries from the years 1990 to 2019. The short- and long-run findings of the CS-ARDL model unveil that green growth, energy efficiency, green technology innovation, and human capital all positively influence the load capacity factor, suggesting that these factors help the top 10 manufacturing countries to improve their sustainability limits. In contrast, trade openness and economic expansion in underlying countries increase environmental degradation by lowering the level of LCF. These outcomes are also validated by the AMG and CCEMG approaches and the granger causality test. On the basis of the findings, important policy recommendations are presented with the aim of assisting the top 10 manufacturing economies in enhancing the quality of their environment and fulfilling the United Nations Sustainable Development Goals.
Perceived health-related quality of life in people living with HIV co-infected with SARS-CoV-2 in France
Authors: Amboise Yvenie , Yaya Issifou , Yombo-Kokule Lisa. , Roucoux Guillaume , Ossima Arnaud Nze , Preau Marie , Griffith James W. , Marcellin Fabienne , Chassany Olivier , Cheret Antoine , Duracinsky Martin 
Published: June 2024

Abstract
Purpose
We aimed to assess health-related quality of life (HRQL) and its correlates among people living with HIV/AIDS (PLWHA) co-infected with SARS-CoV-2 in France.

Methods
This cross-sectional was study conducted among PLWHA co-infected with SARS-CoV-2. HRQL was measured using the four dimensions of the PROQOL-HIV scale. Factors associated with each dimension were identified using linear regression.

Results
mean (SD) scores for HRQL dimensions: 76.7 (± 21.1) for Physical Health and Symptoms (PHS), 79.2 (± 23.6) for Social Relationships (SR), 67.3 (± 27.4) for Mental and Cognitive (MC), and 83.9 (± 16.5) for Treatment Impact (TI). Employment status and COVID-19 knowledge were associated with higher PHS score, while blood transfusion-acquired HIV, CDC HIV, hospital discharge instructions, and self-reported symptoms were associated with lower PHS score. Couple status was associated with higher SR score, whereas, hospital discharge instructions, CDC HIV stage C, drug injection-acquired HIV, self-reported symptoms, and COVID-19 vulnerability perception were associated with lower SR score. Employment status and French birth were associated with higher MC score, while female sex, detectable HIV viral load, hospital discharge instructions, COVID-19 vulnerability perception, smoking, and self-reported symptoms were associated with lower MC score. French birth and homosexual/bisexual relationships-acquired HIV were associated with higher TI score, while detectable HIV viral load, psychiatric disorders, and self-reported symptoms were associated with lower TI score

Conclusion
Among PLWHA co-infected with SARS-CoV-2, the scores of HRQL were impaired, particularly in the MC dimension. Findings underscore the multidimensional nature of HRQL, with notable variations across different dimensions. Understanding these correlates is crucial for tailored interventions aimed at improving the well-being of this population.
Teachers’ intervention strategies for handling hate-speech incidents in schools
Authors: Bilz Ludwig , Fischer Saskia M. , Kansok-Dusche Julia , Wachs Sebastian , Wettstein Alexander 
Published: June 2024

AbstractDespite ongoing global efforts to combat discrimination, hate speech is a growing problem in many countries. Hate speech is also widespread among young people and thus also affects schools. Because of the negative consequences of hate speech for the targeted individuals and for society in general, schools and teachers are generally encouraged to moderate hate speech. This binational study examines intervention strategies for hate speech in schools using the newly developed Hate-Speech Interventions Scale for Teachers. Data from German and Swiss teachers (N = 486) were analyzed. Self-reported strategies were best described using a three-factor structure. Teachers primarily direct their interventions at those directly involved in hate speech and frequently employ teaching-oriented strategies. In comparison, external partners and colleagues are relatively rarely involved. Measurement invariance testing supported the scales’ construct validity. A link was found between the use of these strategies, teachers’ task-specific self-efficacy, gender, and professional experience. These results indicate that schools should play an important role in moderating hate speech and that increasing teachers’ confidence in their own ability to address this phenomenon could be an important element of teacher training.
Efficient estimation and correction of selection-induced bias with order statistics
Authors: McLatchie Yann , Vehtari Aki 
Published: June 2024

AbstractModel selection aims to identify a sufficiently well performing model that is possibly simpler than the most complex model among a pool of candidates. However, the decision-making process itself can inadvertently introduce non-negligible bias when the cross-validation estimates of predictive performance are marred by excessive noise. In finite data regimes, cross-validated estimates can encourage the statistician to select one model over another when it is not actually better for future data. While this bias remains negligible in the case of few models, when the pool of candidates grows, and model selection decisions are compounded (as in step-wise selection), the expected magnitude of selection-induced bias is likely to grow too. This paper introduces an efficient approach to estimate and correct selection-induced bias based on order statistics. Numerical experiments demonstrate the reliability of our approach in estimating both selection-induced bias and over-fitting along compounded model selection decisions, with specific application to forward search. This work represents a light-weight alternative to more computationally expensive approaches to correcting selection-induced bias, such as nested cross-validation and the bootstrap. Our approach rests on several theoretic assumptions, and we provide a diagnostic to help understand when these may not be valid and when to fall back on safer, albeit more computationally expensive approaches. The accompanying code facilitates its practical implementation and fosters further exploration in this area.
Cyanotoxin Monitoring and Detection Using Passive Sampling Application
Authors: Loaiza-González Jinna M. , Rubio-Clemente Ainhoa , Peñuela Gustavo A. 
Published: June 2024

AbstractCyanobacterial blooms in water have been extensively studied as they produce bioactive and toxic metabolites, commonly known as cyanotoxins. Additionally, the presence of cyanobacteria and, consequently, the production of cyanotoxins, have increased in extent and frequency worldwide. Therefore, the risk associated with the presence of these microorganisms and their toxins has become a matter of great concern. On the other hand, conventional processes for water treatment are inefficient for their elimination and/or degradation, so their presence in water persists at trace and ultra-trace concentrations. In this regard, it is important to develop alternatives to monitor cyanotoxins and allow their detection at low levels in water supply and purification systems, in order to ensure water of good quality for human consumption. In this work, different methodologies, implemented both at laboratory scale and in situ in aqueous bodies, are described. Among these methodologies, traditional and passive techniques are highlighted. Appropriate analytical and sample preparation methods used in the detection and quantification of cyanotoxins are also addressed. It was found that the use of passive samplers is a convenient and a cost-effective method of identifying the presence of these toxins in water at concentrations in the order of µg/L and ng/L. Moreover, studying the by-products generated from the degradation of natural toxins in aquatic environments and evaluating their possible adverse effects is crucial in terms of the management and control of cyanobacteria and cyanotoxin pollution in water.
Long-term durability of discarded cork-based composites obtained by geopolymerization
Authors: Poggetto Giovanni Dal , Barbieri Luisa , D’Angelo Antonio , Zambon Alfonso , Zardi Paolo , Leonelli Cristina 
Published: June 2024

AbstractGeopolymers are amorphous aluminosilicate inorganic polymers synthesized by alkaline activation characterized by a lower carbon footprint, greater durability, and excellent mechanical properties compared to traditional concrete, making them promising building materials for sustainable construction. To develop sustainable lightweight geopolymer-based building materials useful as fire resistant thermal insulation materials, we added 5 and 10 wt% of discarded cork dust, a readily available industrial by-product, to metakaolin before and after the alkaline activation with sodium hydroxide 8 M and sodium silicate solutions. We followed the chemical, microstructural, antibacterial, and physical properties of the resulting composites for up to 90 days in order to monitor their long-term durability. The presence of cork does not interfere with the geopolymerization process and in fact reduces the density of the composites to values around 2.5 g/cm3, especially when added after alkaline activation. The composites resulted in chemically stable matrices (less than 10 ppm of cations release) and filler (no hazardous compounds released) with a bacterial viability of around 80%. This study provides valuable insights into the tailoring of discarded cork-based composites obtained by geopolymerization with a porosity between 32 and 48% and a mechanical resistance to compression from 15 to 5 MPa, respectively, suggesting their potential as durable interior panels with low environmental impact and desirable performance.
Prevalence of the Risk of Exercise Addiction Based on a New Classification: A Cross-Sectional Study in 15 Countries
Authors: Chhabra Bhavya , Granziol Umberto , Griffiths Mark D. , Zandonai Thomas , Landolfi Emilio , Solmi Marco , Zou Liye , Yang Peiying , Lichtenstein Mia Beck , Stoll Oliver , Akimoto Takayuki , Cantù-Berrueto Abril , Larios Angelica , Egorov Aleksei Y. , de la Vega Marcos Ricardo , Alpay Merve , Nazlıgül Merve Denizci , Yildirim Mustafa , Trott Mike , Portman Robert M. , Szabo Attila 
Published: June 2024

AbstractExercise addiction is widely studied, but an official clinical diagnosis does not exist for this behavioral addiction. Earlier research using various screening instruments examined the absolute scale values while investigating the disorder. The Exercise Addiction Inventory-3 (EAI-3) was recently developed with two subscales, one denoting health-relevant exercise and the other addictive tendencies. The latter has different cutoff values for leisure exercisers and elite athletes. Therefore, the present 15-country study (n = 3,760) used the EAI-3 to classify the risk of exercise addiction (REA), but only if the participant reported having had a negative exercise-related experience. Based on this classification, the prevalence of REA was 9.5% in the sample. No sex differences, and few cross-national differences were found. However, collectivist countries reported greater REA in various exercise contexts than individualist countries. Moreover, the REA among athletes was (i) twice as high as leisure exercisers, (ii) higher in organized than self-planned exercises, irrespective of athletic status, and (iii) higher among those who exercised for skill/mastery reasons than for health and social reasons, again irrespective of athletic status. Eating disorders were more frequent among REA-affected individuals than in the rest of the sample. These results do not align with recent theoretical arguments claiming that exercise addiction is unlikely to be fostered in organized sports. The present study questions the current research framework for understanding exercise addiction and offers a new alternative to segregate self-harming exercise from passionate overindulgence in athletic life.
The Development of Sharing Experiences: From Dyadic Engagement to Taking Others’ Perspectives
Authors: Moll Henrike , Ni Qianhui 
Published: June 2024

AbstractWe argue that the main difference between humans and other animals lies in humans’ unique form of sociality: their shared intentionality. Instead of conceiving of shared intentionality as a special skill humans have in addition to the skills they share with nonhuman animals (the additive account), we propose to think of shared intentionality as transforming human cognition in its entirety (the transformative account, as in the thesis of Kern and Moll). We discuss the relevance of the evolution of the human face for shared intentionality, and we argue that the development of shared intentionality proceeds in the following three steps: 1) newborns’ tendency to engage in preverbal, face-to-face dialogue, 2) 1-year-olds’ drive to jointly attend to the world with others as plural subjects, and 3) preschoolers’ appreciation of individuals’ different perspectives. The shared intentionality thesis defended here can be viewed as an extension of Lev Vygotsky’s sociocultural account of human development.
From recipe to reality: the Polish way of collective redress
Authors: Mucha Jagna 
Published: June 2024

AbstractIn comparison to other Member States, Poland has had experience in dealing with mass claims for quite some time, having introduced the Act of Pursuing Claims in Group Proceedings way back in 2009. This paper includes a brief overview of the legislative framework for collective redress in Poland with special consideration of consumer claims. Further, it examines the evidence-based reality of group proceedings with the purpose of identifying and addressing the problems in functioning of this mechanism in practice. To achieve this aim, it delves into a case study of one of the most significant group proceedings so far – that related to the so-called ‘Swiss loan crisis’ in Poland.
Sexual and Reproductive Service Interventions for Menstrual Regulation, Safe Abortion, and Post-abortion Care and Their Effectiveness During Disaster Response: A Global Systematic Review
Authors: Ray-Bennett Nibedita S. , Ekezie Winifred , Biswas Isha , Choudhary Nimra Iqbal , Cowie David , Dissanayake Lasith , Macleod Lauren , Nnaji Azukaeogo , Sahoo Madhulika 
Published: June 2024

AbstractSexual and reproductive health (SRH) services are crucial for women especially during disasters, to reduce maternal mortality and morbidity from miscarriages, unsafe abortions, and post-abortion complications. This study explored the SRH interventions provided during disaster response. A systematic review was conducted to identify what menstrual regulation (MR), safe abortion (SA), and post-abortion care (PAC) approaches/interventions exist to promote resilience in the health system in disaster settings; what intervention components were most effective; and challenges and opportunities to meeting SRH rights. Five electronic databases were searched, resulting in 4194 records. Following the screening process, seven publications were included. The intervention-related information in each publication was assessed based on availability, accessibility, acceptability, and quality. Two SRH approaches/interventions were found. The effectiveness of intervention components could not be conducted due to the limited number of relevant studies. Challenges were found at facility and community levels, and opportunities included overcoming them, making MR, SA, and PAC integral to the mitigation phase, and policy change to overcome barriers related to unaffordability and inaccessibility. Recommendations are provided to encourage research and policy towards improving neglected SRH in disaster settings to realize Sustainable Development Goal 3 and the Global Strategy and Sendai Framework’s priority to promote disaster-resilient health systems.
Quantitative liver MRI biomarkers: what the radiologist should know
Authors: Mazzola Mariasole , Cannella Roberto , Pilato Giulia , Blandino Antonino Andrea , Milazzo Monica , Matteini Francesco , Vernuccio Federica , Brancatelli Giuseppe 
Published: June 2024

AbstractQuantitative MRI biomarkers are increasingly requested in clinical practice in the management of patients with chronic liver diseases, to evaluate fibrosis, steatosis, iron overloard and liver function. The proton density fat fraction (PDFF) is a quantitative biomarker for the quantification of steatosis, being the current noninvasive reference standard for steatosis grading. R2* is a biomarker of iron concentration and is bundled with PDFF. MR elastography measures liver stiffness through the quantification of mechanical waves generated by an external drive and it can be used to detect significant and advanced fibrosis. Hepatobiliary phase can provide information on residual liver function by quantitative or semiquantitative parameters. The functional liver imaging score is an emerging semiquantitative tool based on the three hepatobiliary phase features: liver parenchymal enhancement, biliary contrast excretion, and portal vein sign. This work discusses the role of quantitative MRI biomarkers, offering practical tips for the diagnosis of steatosis, iron, fibrosis and liver function.
Aerosol‐Cloud Interactions From Aviation Soot Emissions
Authors: Alsante Alyssa N. , Cheng Meng‐Dawn 
Published: June 2024

AbstractCurrent models estimate global aviation contributes approximately 5% to the total anthropogenic climate forcing, with aerosol‐cloud interactions having the greatest effect. However, radiative forcing estimates from aviation aerosol‐cloud interactions remain undetermined. There is an expected significant increase in aircraft emissions with aviation demand expected to rise by over 4% per year. Soot may play an important role in the ice nucleation of aircraft‐induced cirrus formation due to a high emission rate, but the ice nucleating properties are poorly constrained. Understanding the microphysical processes leading to atmospheric ice crystal formation is crucial for the reliable parameterization of aerosol‐cloud interactions in climate models due to their impact on precipitation and cloud radiative properties. Ice nucleation of aircraft‐emitted soot is potentially affected by particle morphology with condensation of supercooled water occurring in pores followed by ice nucleation. However, soot has heterogeneous properties and undergoes atmospheric aging and oxidation that could change surface properties and contribute to complex ice nucleation processes. This review synthesizes current knowledge of ice nucleation catalyzed by aviation in the cirrus regime and its effects on global radiative forcing. Further research is required to determine the ice nucleation and microphysical processes of cirrus cloud formation from aviation emissions in both controlled laboratory and field investigations to inform models for more accurate climate predictions and to provide efficient mitigation strategies.
Improving All‐Sky Simulations of Typhoon Cloud/Rain Band Structures of NOAA‐20 CrIS Window Channel Observations
Authors: Niu Zeyi , Zou Xiaolei 
Published: June 2024

AbstractThe Cross‐track Infrared Sounder (CrIS) observations (O) contributed greatly to numerical weather prediction. Further contribution depends on the success of all‐sky data assimilation, which requires a method to produce realistic cloud/rain band structures from background fields (i.e., 6‐hr forecasts), and to remove large biases of all‐sky simulation of brightness temperature (TB) in the presence of clouds. In this study, CrIS all‐sky simulations of brightness temperatures at an arbitrarily selected window channel within Typhoon Hinnamnor (2022) are investigated. The 3‐km Weather Research and Forecasting model with three microphysics schemes were used to produce 6‐hr background forecasts (B). The O − B statistic deviate greatly from Gaussian distribution with large biases in either water clouds, or thin ice clouds, or thick ice clouds within Typhoon Hinnamnor. By developing a linear regression function of three all‐sky simulations of TB from 6‐hr forecasts with three microphysics schemes, the O − B statistics approximate a Gaussian normal distribution in water clouds, thin ice clouds and thick ice clouds. Taking the regression function that is established by a training data set to combine 6‐hr background forecasts at later times, the cloud/rain band structures compared much more favorably with CrIS observations than those from an individual microphysic. Furthermore, the regression coefficients derived from Typhoon Hinnamnor (2022) also work for Typhoon Khanun (2023). The work aims to quantify and remove biases in background fields of TB and generating realistic typhoon cloud/rain band structures in background fields will allow a better description of center position, intensity and size to improve typhoon forecasts.
Excursions, Reversals, and Secular Variation: Different Expressions of a Common Mechanism?
Authors: Buffett B. A. 
Published: June 2024

AbstractFluctuations in the geomagnetic field occur over a broad range of timescales. Short‐period fluctuations are called secular variation, whereas excursions and reversals are viewed as anomalous transient events. An open question is whether distinct mechanisms are required to account for these different forms of variability. Clues are sought in trends b of the axial dipole moment from six time‐dependent geomagnetic field models. Variability in b has a well‐defined dependence on the time interval (or window) for the trend. The variance of b reveals a simple relationship to trends during excursions and reversals. This connection hints at a link between reversals, excursions and secular variation. Stochastic models exhibit a similar behavior in response to random fluctuations in dipole generation. We find that excursions, reversals and secular variation can be distinguished on the basis of trend durations rather than differences in the underlying physical process. While this analysis does not rule out distinct physical mechanisms, the paleomagnetic observations suggest that such distinctions are not required.