bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cognitive engagement and reading comprehension of French pupils aged between 9- and 11-Years old are influenced by task relevance: evidence from concurrent recordings of postural and eye movements
Authors: Ballenghein Ugo , Lachaud Léa 
Published: November 2024

AbstractThe relevance effect refers to the influence that instructions have on readers’ attention and learning. The present study examined whether relevance influences elementary school students’ reading comprehension and cognitive engagement. To measure the latter, eye movements and postural sway were recorded in 42 French speaking students aged 9.3–11.6 years. Eye movements were recorded with infrared-based eye-tracking glasses, and postural sway with an infrared-based motion capture system. Children read two texts, one task-relevant and one task-irrelevant, and answered surface and inference questions right after reading it. Results showed that children scored better on surface and inference questions about the relevant text than about the irrelevant one. As for eye movements, readers made more fixations on the relevant text and spent more time reading it. There was also less postural sway during the reading of the relevant text. These results indicate that cognitive engagement during reading is embodied in fourth- and fifth-grade students, with postural stability probably reflecting cognitive engagement and promoting the construction of meaning during reading tasks.
Scaffolded Rumination: The Case of Problematic Smartphone Use
Authors: Fanti Rovetta Francesco 
Published: November 2024

AbstractDebates in 4E and scaffolded cognition have been centered on cases in which human cognitive or affective capacities are enhanced through technology. Recently some authors have noted that this may not always be the case: the technologies and environment around us can negatively impact cognitive and affective abilities. In the first part, I elaborate on this change of perspective in the debate. In the second part, I discuss a case of technology scaffolding maladaptive psychological processes. More in detail, I will focus on the role of smartphones in scaffolding ruminative processes. To illustrate this claim, I introduce four core features of rumination and discuss how they may be supported by problematic smartphone use in light of existing evidence.
Anthropogenic and Natural Impacts on Surface Water Quality: The Consequences and Challenges at the Nexus of Waste Management Facilities, Industrial Zones, and Protected Areas
Authors: Podlasek Anna , Koda Eugeniusz , Kwas Adriana , Vaverková Magdalena Daria , Jakimiuk Aleksandra 
Published: November 2024

AbstractThe objective of this study was to evaluate the physicochemical characteristics of surface waters near an old landfill, to assess water quality using the Water Quality Index (WQI) and the Comprehensive Pollution Index (CPI), and to identify factors influencing surface water composition using multivariate statistical analysis. The analysis of temporal changes of 15 surface water parameters (pH, EC, Cl−, NH4+, SO42−, BOD5, CODCr, TOC, Zn, Cd, Pb, Cu, Cr, Hg, and PAH) was complemented by the investigation of surface water flow, ambient temperature, and precipitation. A twelve-year monitoring period was considered, focusing on monitoring sites located along a watercourse in the area of the Radiowo landfill (Poland). No significant correlations were found between precipitation and surface water quality parameters in the outflow direction. The results showed that the average WQI values ranged from 63.06 to 96.86, while the average CPI values ranged from 0.56 to 0.88, indicating good water quality or low pollution, respectively. The temperature had a greater influence on the physicochemical parameters than the precipitation, especially on the parameters of contamination by organic compound (correlations between temperature and BOD5, CODCr, and TOC of 0.40, 0.50, and 0.38, respectively). Significant correlations were observed between EC, Cl−, NH4, BOD5, CODCr, and TOC in the outflow direction of the landfill. In addition, surface water flow showed a significant moderate negative correlation with pH (r = -0.44) and a moderate positive correlation with Cu concentration (r = 0.47) downstream of the landfill. The analysis of surface water quality monitoring, coupled with the critical evaluation of global research, has made it possible to understand the variation in surface water quality and the factors that influence it. The study confirmed that given the complex nature of Municipal Solid Waste (MSW) landfills, understanding the dynamics and factors affecting water quality is essential for effective water protection and management and achieving the Sustainable Development Goals (SDGs).
Sleep apnea prevalence and severity after coronary revascularization versus no intervention: a systematic review & meta-analysis
Authors: Ajosenpää Marjo , Sarin Satu , Vahlberg Tero , Ahlmen-Laiho Ulla , Yüksel Peker , Kalleinen Nea , Toivonen Jenni 
Published: November 2024

Abstract

Purpose
Obstructive sleep apnea (OSA) is a common disease in patients with coronary artery disease (CAD). Approximately 40–80% of cardiovascular disease patients have obstructive sleep apnea. The manifestation of it can vary significantly in different types of CAD patients. This systematic review and meta-analysis investigate the prevalence and severity of OSA in patients with acute coronary syndrome (ACS).

Methods
This systematic review was conducted according to PRISMA guidelines. The first inclusion criteria were that a reliable sleep study had to be done after treating the patients’ acute coronary incident. All patients in the studies included were adults suffering from an ACS who underwent either coronary artery bypass grafting surgery (CABG), a percutaneous coronary intervention (PCI) or had no invasive coronary intervention done. A search was conducted within four valid databases 27.1.2023 and all suitable articles published after 1.1.2010 were included.

Results
Eight studies fulfilled the full inclusion criteria. In five of them, a sleep study had been performed after PCI, in two after no coronary intervention, and in one study after CABG. Mean AHI in no-OSA group after PCI was 9.5 /h (95% CI 5.3–13.7) and in the no intervention group 6.4 /h (95% CI 3.5–9.4). In OSA patients, mean AHI after PCI was 34.9 /h (95% CI 25.9–43.8) vs. 24.1 /h without intervention (95% CI 15.6–32.6).

Conclusions
Sleep apnea is very common among ACS patients and should be screened for and addressed after the acute coronary intervention. Moreover, we found that OSA is more severe in patients in whom PCI for ACS was indicated as opposed to patients who underwent no coronary intervention.
Reusing 316L Stainless Steel Feedstock Powder for Cold Spray Deposition
Authors: Rúa Ramírez Edwin , Silvello Alessio , Torres Diaz Edwin , Vaz Rodolpho F. , Garcia Cano Irene 
Published: November 2024

Abstract
Cold spray (CS) is a solid-state deposition of coatings, or an additive manufacturing (CSAM) process employed to make parts maintaining the feedstock powders properties in the deposited material. One of the cons for industrial use of CS or CSAM is their higher costs compared to the traditional coating or manufacturing processes. Reducing the feedstock powder consumption by maximizing the deposition efficiency has been the focus of many works. However, depending on the part geometry (e.g., a plate with holes), and CSAM strategy with low deposition efficiency, a considerable mass of powder can pass through the substrate, failing to bond, and becoming a process waste. This work evaluates CS 316L stainless steel coatings, recovering the unbonded particles and reusing them in a later deposition, thus making coatings with reused powders. The original and recovered powders were characterized in terms of particle shape and size distribution, phase composition, microhardness, and other properties to evaluate the evolution of the particles' properties due to the recovery process. Besides the powders, the CS coatings obtained with original and recovered powders were evaluated through cross-section image analysis, where porosity, deposition efficiency, and microhardness were observed. The results indicate that the powders' physical properties undergo variations over multiple deposition cycles without significantly affecting the quality of the CS coatings, with porosity below 1.5% and microhardness around 350 HV0.3 in most cases. Recovering and reusing powder for CS promotes environmental sustainability and generates significant economic benefits. This study contributes to making CS more economically viable from a life cycle cost assessment perspective.

Graphical abstract
Utilization of gamma irradiation for development of shelf-stable mint coriander sauce
Authors: Adiani Vanshika , Ambolikar Rupali , Gupta Sumit 
Published: November 2024

AbstractThe mint coriander sauce (MCS) prepared using fresh herbs is known to be heat-sensitive and highly perishable with a limited shelf life (less than 2 days). Therefore, in the current study, the aim was to develop a shelf-stable MCS utilizing gamma radiation without the use of thermal processing. The D10 values for yeast and mold (Y&M) and total viable counts (TVC) were observed to be 1.18 and 6.70 kGy, respectively. The gamma radiation at a dose of 25 kGy successfully achieved microbial sterility in MCS. No microbial growth was observed in irradiated samples during the entire storage period of 180 days. Significant (P < 0.05) increase in content of phenolic acids was observed during storage. After storage of 180 days, the amount of caffeic acid, vanillic acid and ferulic acid increased by 1.35, 5.71 and 2.14 fold, respectively. In comparison with fresh samples, the irradiated samples after storage showed a significant (P < 0.05) increase of 0.6 and 0.9 fold in total antioxidant activity and total phenolic content, respectively. Although, irradiation did not show significant effect on volatile aroma constituents, however, during storage a significant (P < 0.05) loss in aroma compounds was noted. During color analysis, a marginal loss in greenness and an increase in browning index (BI) were observed. MCS samples subjected to radiation treatment maintained acceptable sensory quality during the entire storage period of 180 days. These results suggested that radiation treatment can be a practical proposition for preparing a shelf-stable MCS with excellent sensory quality.
Computer-Aided Diagnosis of Graphomotor Difficulties Utilizing Direction-Based Fractional Order Derivatives
Authors: Gavenciak Michal , Mucha Jan , Mekyska Jiri , Galaz Zoltan , Zvoncakova Katarina , Faundez-Zanuy Marcos 
Published: November 2024

Abstract
Children who do not sufficiently develop graphomotor skills essential for handwriting often develop graphomotor disabilities (GD), impacting the self-esteem and academic performance of the individual. Current examination methods of GD consist of scales and questionaries, which lack objectivity, rely on the perceptual abilities of the examiner, and may lead to inadequately targeted remediation. Nowadays, one way to address the factor of subjectivity is to incorporate supportive machine learning (ML) based assessment. However, even with the increasing popularity of decision-support systems facilitating the diagnosis and assessment of GD, this field still lacks an understanding of deficient kinematics concerning the direction of pen movement. This study aims to explore the impact of movement direction on the manifestations of graphomotor difficulties in school-aged. We introduced a new fractional-order derivative-based approach enabling quantification of kinematic aspects of handwriting concerning the direction of movement using polar plot representation. We validated the novel features in a barrage of machine learning scenarios, testing various training methods based on extreme gradient boosting trees (XGBboost), Bayesian, and random search hyperparameter tuning methods. Results show that our novel features outperformed the baseline and provided a balanced accuracy of 87 % (sensitivity = 82 %, specificity = 92 %), performing binary classification (children with/without graphomotor difficulties). The final model peaked when using only 43 out of 250 novel features, showing that XGBoost can benefit from feature selection methods. Proposed features provide additional information to an automated classifier with the potential of human interpretability thanks to the possibility of easy visualization using polar plots.
Executive Function Training Through a Mindfulness-Based Neuroeducational Program in Elementary School Students
Authors: Diéguez Miriam Portela , García Marta Cerezo , Asencio Enrique Navarro , Vergara-Moragues Esperanza 
Published: November 2024

Abstract
Objectives
Cognitive processes underlying learning are essential for educational practice. Therapeutic interventions that incorporate mindfulness to enhance these processes are becoming increasingly popular, but few studies focused on the effectiveness of their application to the educational setting for the development of executive functioning. The objective of this study was to assess the effects of a neuroeducational program based on mindfulness techniques applied in the classroom on the executive functioning of second grade primary school students.

Method
Forty-eight students were included, 25 in the passive control group and 23 in the intervention group. Participants were assessed before and after program implementation with the CARAS-R test to measure selective attention, the WISC-V Digits Span subtest to measure working memory, and the NEPSY-II Inhibition subtest to measure cognitive flexibility and inhibition.

Results
Changes between pre- and post-intervention scores were analyzed separately for the control and experimental groups, and effect sizes were calculated to estimate the significance of the differences.

Conclusions
Although both groups improved on the cognitive measures evaluated, our results indicate that the mindfulness-based program significantly improved students’ working memory, inhibition, and cognitive flexibility. We conclude that this type of program can help teachers improve their educational practice with methodologies that promote the integral development of their students.

Preregistration
This study is not preregistered.
Pyrolysis of açai stems (Euterpe oleracea Mart.) and cocoa husks (Theobroma cacao L.) residues for the generation of added-value products in rural areas
Authors: Lara Prado Ronald M. , Surculento Villalobos Rodrigo , Lopez Luis , Kusar Henrik 
Published: November 2024

AbstractGenerally, agriculture activities represent the main economic income of rural areas, and during these, huge amounts of biomass are generated. This biomass is considered as garbage due to its high storage cost. However, energy and added-value products can be recovered from biomass. Within this context, açai stems and cocoa husks were collected from different rural areas of Bolivia due to their high importance in the local and international markets as two of the most available products of the country. The preliminary study will contribute in the field of green energy recovery and resource management. Thus, in this study, both residues were tested as renewable feedstocks for the generation of added-value products from pyrolysis at 500 °C for 30 min. Açai stems were found to be more suitable to biochar based with yields up to 49.1% ± 2.4%, but also for biogas production (33.9% ± 2.0%). Cocoa husk was also found to be more suitable for biochar production (38.1% ± 1.7%) but also for bio-oils (33.6% ± 17.6%). Both resulting biochars had basic pH (between 10 and 12) and low density (287.2 kg/m3 and 401.7 kg/m3). Additionally, the lack of heavy metals on the surface makes both biochar products good candidates for soil amendment applications. Furthermore, the bio-oil composition is complex and varied, and products such as Maltol, 2-methyl furane, and D-allose have direct applications in the food industry. Moreover, the presence of phenolic compounds and hydrocarbons with more than five carbons in the structure makes the obtained bio-oils suitable for upgrading processes for biofuel production. Finally, the obtained biogases can be applied for local electricity generation, or to reduce the energy requirements for the pyrolysis reactor.
Graphical Abstract
Validity of Thermal Simulation Models for Different Laser Beam Shapes in Bead-on-Plate Melting
Authors: Holla Vijaya , Grünewald Jonas , Kopp Philipp , Praegla Patrick M. , Meier Christoph , Wudy Katrin , Kollmannsberger Stefan 
Published: November 2024

AbstractComputational models that predict melt pool shapes and temperature evolution in laser-based powder bed fusion of metals (PBF-LB/M) can range from simple thermal simulation models to more advanced models that incorporate more detailed physics of the process. While advanced models can accurately predict thermal fields and melt pool fluid dynamics, they are computationally more expensive and, thus, less suited for part-scale simulations or numerical optimization, where repeated model evaluations are necessary. On the other hand, thermal simulations are computationally efficient and attractive for their simplicity, but their accuracy is mainly limited to conduction-dominated processes. Moreover, the conduction model’s validity range is not fully understood for non-Gaussian laser beam shapes. This paper demonstrates that predictions of melt pool depth and width carried out by a heat conduction model are accurate to within 20 % for all investigated laser profiles, provided that the simulated maximum temperature does not exceed a certain threshold value for stainless steel 316L. This is established by thoroughly investigating the validity range of the heat conduction model through comparisons with over 200 single-track experiments on bare plates. The temperature predictions from the model are compared with multi-physics simulations using smoothed particle hydrodynamics (SPH). Through detailed analysis and validation for three laser beam shapes, this contribution provides valuable insights into the accuracy and applicability of heat conduction models in bead-on-plate melting simulations and offers a path to optimize process parameters, such as laser beam shape, scanning strategy, and other processes for diverse applications aimed at PBF-LB/M.
Changing the game on wage setting – recent EU activities on pay and the divided football labour market
Authors: Hansson Mikael 
Published: November 2024

AbstractRecent activities from the European Union regarding wage setting challenge the labour market for professional football players. The Minimum Wage Directive and the Pay Transparency Directive are soon to be implemented in the member states of the EU. The directives in question are aimed at a different labour market than professional football, which is characterized by a divided labour market for men and women, a significant pay gap between the highest-paid and the lowest-paid players, even though they perform the same kind of work, and the fact that the workers are relatively young and have short careers. These characteristics may place the football labour market in a category outside the scope of EU rules on pay, but the same characteristics that make the football labour market unique are the focus of the recent directives on pay. While the EU has a somewhat ambiguous relationship with sporting rules, it has repeatedly stated that the practice of sport is subject to the provisions of EU law insofar as it constitutes an economic activity. Since football, as an entertainment industry, undeniably constitutes an economic activity, it must adapt to the new rules. This adaptation may require change, and change in established legal structures does not always come easily. Thus, strategies for avoiding or minimizing the effects of these new rules are identified and discussed in this article.
Examining AI Use in Educational Contexts: A Scoping Meta-Review and Bibliometric Analysis
Authors: Fu Yao , Weng Zhenjie , Wang Jiaxi 
Published: November 2024

AbstractWith growing research attention in artificial intelligence in education (AIED), there is a profusion of systematic reviews that have investigated AI integration in a wide variety of educational contexts, including PreK-12 schools and higher education. Even though existing systematic reviews have explored effects of AI on education, few studies have synthesized the results of those reviews. To fill this gap, we conducted a scoping meta-review and bibliometric analysis to map the broad field of AIED and identify research gaps based on our analysis. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, we searched Scopus and Web of Science and collected 126 review articles from 2014 to Mid-August of 2023 that satisfied our inclusion criteria. Specifically, we used four criteria for the screening process: (1) the article’s full text was available in English; (2) the article was published in peer-reviewed journals; (3) the article was a systematic review; and (4) the article was focused on AI use in one or multiple educational context(s). Our findings revealed the key characteristics of the included reviews, such as keyword co-occurrence network, co-authorship network, geographic distribution of authorship, educational levels, and subject areas. Three major themes related to AIED were generated, encompassing AI’s impact on teaching, learning, and administration. We also identified commonalities and nuanced differences between PreK-12 education and higher education along with research areas that have been underexplored. Our study not only expanded understanding of studies on AIED, but also provided suggestions on how to strengthen future research.
A Multifunctional Hydrogel with Multimodal Self-Powered Sensing Capability and Stable Direct Current Output for Outdoor Plant Monitoring Systems
Authors: Guo Xinge , Wang Luwei , Jin Zhenyang , Lee Chengkuo 
Published: November 2024

AbstractSmart farming with outdoor monitoring systems is critical to address food shortages and sustainability challenges. These systems facilitate informed decisions that enhance efficiency in broader environmental management. Existing outdoor systems equipped with energy harvesters and self-powered sensors often struggle with fluctuating energy sources, low durability under harsh conditions, non-transparent or non-biocompatible materials, and complex structures. Herein, a multifunctional hydrogel is developed, which can fulfill all the above requirements and build self-sustainable outdoor monitoring systems solely by it. It can serve as a stable energy harvester that continuously generates direct current output with an average power density of 1.9 W m−3 for nearly 60 days of operation in normal environments (24 °C, 60% RH), with an energy density of around 1.36 × 107 J m−3. It also shows good self-recoverability in severe environments (45 °C, 30% RH) in nearly 40 days of continuous operation. Moreover, this hydrogel enables noninvasive and self-powered monitoring of leaf relative water content, providing critical data on evaluating plant health, previously obtainable only through invasive or high-power consumption methods. Its potential extends to acting as other self-powered environmental sensors. This multifunctional hydrogel enables self-sustainable outdoor systems with scalable and low-cost production, paving the way for future agriculture.