bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of pore-scale clogging using artificial intelligence algorithms
Authors: Lei Chao , Samari-Kermani Mandana , Aslannejad Hamed , Zech Alraune 
Published: September 2023

AbstractWe use five established, but conceptually different artificial intelligence algorithms for analysing clogging and quantifying colloid transport at pore scale: artificial neural networks, decision tree, random forest, linear regression, and support vector regression. We test how these algorithm can predict clogging by interpolating physics based simulation data. Our training and test data set is based on results from Lattice Boltzmann simulations reproducing the physics of colloid transport through a typical pore throat present in glass beads or medium sized sand. We perform hyperparameter optimization through cross validation for all algorithms. The tree based methods have the highest Nash–Sutcliffe efficiencies among all tested algorithms with values mostly above 0.9 for the independent test data. The event of clogging can be predicted even with 100% accuracy. Our results indicate a non-linear, rather categorial nature of the (simulation) data. This is in contrast to the typical use of neural network algorithms for simulation data while tree based methods are often applied to observational data. We partly link this to the small size of our dataset. Our application of artificial intelligence in porous media research shows that time-consuming Lattice Boltzmann simulations can be easily supplemented and extended at small computational costs while predictability of clogging and quantitative effects of process specific parameters on colloidal transport are given with high reliability.
An Interaction Framework for Designing Systems for Virtual Home Assistants and People with Dysarthria
Authors: Jaddoh Aisha , Loizides Fernando , Lee Jimin , Rana Omer 
Published: September 2023

AbstractPeople with speech impairments usually use assistive technology devices to assist them with communication and daily tasks. These devices can be controlled using different modalities, such as touch, eye gaze, gestures, and others. This article proposes a standardized methodology for designing non-verbal voice cue interactive systems that enable people with dysarthria to vocally interact with virtual home assistants (VHAs). We adopted a qualitative data-gathering approach to gain insights into users’ experiences and requirements and to determine crucial design elements for designing interactive voice assistants for people with dysarthria. Nineteen participants with varying levels of dysarthria took part in the study to create the framework. A system was then built using the proposed framework, and an additional test was performed with a further seven participants to validate the created system, thus inferring the validity of the framework. Our work empirically demonstrates how an informed, structured design of a fast, direct (verbal rather than forcing users to change modalities or using an intermediate device) method of communication improves the usability of VHAs for people with dysarthria while simultaneously allowing for a more authentic experience. The current data also highlighted that using non-verbal voice cues would be a convenient option. By providing a reproducible framework for developing non-verbal interactive systems for VHAs, we can increase the accessibility of said devices, their usability, and their user experience.
“People Gathered by Sorghum”: Cultural Practices and sorghum Diversity in Northern Ethiopia
Authors: Wendmu Tsedal Asres , Gebrelibanos Tesfakiros Semere , Kovi Mallikarjuna Rao , Ring Kristoffer Hofaker , de Boer Hugo J. , Abera Fetien Abay , Westengen Ola Tveitereid 
Published: September 2023

AbstractSorghum is an important crop in the livelihoods of Kunama and Tigrayan farmers in Northern Ethiopia and we present here a study of what factors have shaped the genetic diversity of the varieties cultivated in neighboring communities of the two ethnolinguistic groups. Using a combination of methods from crop science and cultural anthropology, we investigate patterns of historical and contemporary relationships between crop genetic diversity and cultural and social factors. The spatial genetic structure reveals patterns of ethnolinguistic differentiation and admixture that reflect deep affinities between cultures and crops, but the seed systems of the two communities are also open to exchange and gene-flow. Our findings highlight the importance of understanding cultural factors for genetic resource conservation, as well as for plant breeding and seed system development efforts.
Affecting Task Values, Costs, and Effort in University Mathematics Courses: the Role of Profession-Related Tasks on Motivational and Behavioral States
Authors: Rach Stefanie , Schukajlow Stanislaw 
Published: September 2023

AbstractExpectancy-value models assume that task values play an important role in engaging successfully with the learning content. However, teacher education students in mathematics only value tasks that deal with university mathematics to a low degree. Offering students profession-related tasks that uncover the connection between university mathematics and school mathematics might help increase students’ value beliefs and effort and decrease costs. Based on Eccles and Wigfield’s (2020) situated expectancy-value theory and using a sample of 133 teacher education students, we investigate whether offering profession-related tasks affects task values, costs, and effort for students with different levels of interest in school mathematics. In a within-subject design, students rated their task values, costs, and effort to solve seven mathematical tasks from number theory, which were either a profession-related task or a regular task with equal demands regarding the intended mathematical activities. Students reported higher utility value for their professional life, higher intrinsic value, and lower costs regarding profession-related tasks. No main effects were found for students’ effort. However, students with a higher interest in school mathematics reported higher effort concerning profession-related tasks than regular tasks. On the theoretical level, our findings contribute to the discussion of the interplay between personal (i.e. interest) and task-specific factors (i.e. relation to future profession) for task values, costs, and effort in university mathematics. One important practical implication of our study is the recommendation to include profession-related tasks in university mathematics courses for teacher education students.
Novel air-electrode materials for low-cost inert-supported solid oxide cells: investigation of materials compatibility during co-sintering
Authors: Juckel M. M. , Grimm F. , Zischke S. , Sohn Y. J. , Guillon O. , Menzler N. H. 
Published: September 2023

AbstractFor the investigation of the reactivity of alternative solid oxide cell air electrode materials with forsterite (Mg2SiO4), a magnesium silicate doped with Zn and Ca, five different phase materials were chosen: two Ruddlesden–Popper phase materials: La4Ni3O10 (L4N3) and La3Ni2O7 (L3N2) and three titanium-based perovskite materials: SrTiO3 (STO), SrTi0.75Fe0.25O3 (STF25) and CaTi0.9Fe0.1O3 (CTF). Forsterite was chosen as a support material for the fuel cell, as it is abundant and therefore relatively inexpensive. For the investigation of their reactivity, different types of samples were prepared: mixed pellets, double-layered pellets and screen-printed electrode inks on forsterite green substrates, which were subsequently co-sintered at T = 1300 °C. These samples and their cross sections were then studied using XRD, SEM, EDS and TEM lamella point analysis. Consequently, the impedance spectra were acquired to determine their electro-catalytic performance. The two Ruddlesden–Popper phase materials L4N3 and L3N2 are of high interest due to their thermodynamic stability and high electro-catalytic activity, resulting in a very low polarization resistance. However, this polarization resistance is increased when mixing with forsterite material. In case of the three titanium-based perovskites, the electro-catalytic activity is of less interest due to high polarization resistances.
Increase in self-efficacy in prospective teachers through theory-based lesson study
Authors: Lendínez Muñoz Elena M. , García García Francisco J. , Lerma Fernández Ana M. , Abril Gallego Ana M. 
Published: September 2023

AbstractThis paper explores the education of prospective teachers with regard to the Theory of Didactical Situations when they engage in lesson study. We particularly focus on studying how a lesson study process oriented towards the Theory of Didactical Situations contributes to increasing prospective teachers’ self-efficacy to plan and teach lessons based on such theory, reducing the gap between theory and practice. Prior to the study, we will discuss how the theoretical postulates assumed in lesson study affect crucial aspects of the process. The study is implemented with 47 prospective early childhood education teachers. We also consider another group of 47 prospective teachers that were engaged in practicum at the time the lesson study process took place. Using a quasi-experimental methodology based on a questionnaire developed ad hoc that captures the particularities of the didactic paradigm assumed, the results of our study show that both lesson study and practicum lead to a statistically significant increase in future teachers’ self-efficacy to plan and teach lessons in line with the paradigm assumed. However, size effect measures show that the increase observed in the lesson study group is significantly higher, which supports the benefits of lesson study in initial teacher education. We discuss what the features of lesson study are that could be related to this increase. Finally, we sketch new lines of research connected with the benefits of lesson study versus other teacher education experiences like practicum, as well as with links between self-efficacy and knowledge growth in lesson study.
Applying the Just-In-Time Adaptive Intervention Framework to the Development of Gambling Interventions
Authors: Dowling Nicki A. , Rodda Simone N. , Merkouris Stephanie S. 
Published: September 2023

AbstractJust-In-Time Adaptive Interventions (JITAIs) are emerging “push” mHealth interventions that provide the right type, timing, and amount of support to address the dynamically-changing needs for each individual. Although JITAIs are well-suited to the delivery of interventions for the addictions, few are available to support gambling behaviour change. We therefore developed GamblingLess: In-The-Moment and Gambling Habit Hacker, two smartphone-delivered JITAIs that differ with respect to their target populations, theoretical underpinnings, and decision rules. We aim to describe the decisions, methods, and tools we used to design these two treatments, with a view to providing guidance to addiction researchers who wish to develop JITAIs in the future. Specifically, we describe how we applied a comprehensive, organising scientific framework to define the problem, define just-in-time in the context of the identified problem, and formulate the adaptation strategies. While JITAIs appear to be a promising design in addiction intervention science, we describe several key challenges that arose during development, particularly in relation to applying micro-randomised trials to their evaluation, and offer recommendations for future research. Issues including evaluation considerations, integrating on-demand intervention content, intervention optimisation, combining active and passive assessments, incorporating human facilitation, adding cost-effectiveness evaluations, and redevelopment as transdiagnostic interventions are discussed.
Asymptotic Properties of Extremal Markov Processes Driven by Kendall Convolution
Authors: Arendarczyk Marek , Jasiulis-Gołdyn Barbara , Omey Edward 
Published: September 2023

AbstractThis paper is devoted to the analysis of the finite-dimensional distributions and asymptotic behavior of extremal Markov processes connected with the Kendall convolution. In particular, we provide general formulas for the finite dimensional distributions of the random walk driven by the Kendall convolution for a large class of step size distributions. Moreover, we prove limit theorems for random walks and associated continuous-time stochastic processes.
Dispersion of radionuclides and heavy metals from phosphogypsum stacks in soil and plants at Northwestern Greece
Authors: Noli Fotini , Sidirelli Maria , Tsamos Panagiotis 
Published: September 2023

AbstractPhosphogypsum is classified into naturally occurring radioactive materials containing radionuclides such as 238U, 226Ra and 232Th, and heavy metals which are dispersed in different form and concentrations and can be dangerous for humans. Determination of the concentration of radionuclides in soils and plants near a phosphate fertilizer production unit and phosphogypsum stacks was carried out by γ- and α-spectroscopy while trace elements were determined by Neutron Activation Analysis and Atomic Absorption Spectroscopy. Transfer and enrichment factors were estimated as well as radiation risks and the results led to the conclusion that the radiation hazard in the investigated region was below than the recommended level.
On the Shape of the First Fractional Eigenfunction
Authors: Abatangelo Nicola , Jarohs Sven 
Published: September 2023

AbstractWe show that the first eigenfunction of the fractional Laplacian $${\left( -\Delta \right) }^{s}$$

-
Δ

s

, $$s\in (1/2,1)$$

s
∈
(
1
/
2
,
1
)

, is superharmonic in the unitary ball up to dimension 11. To this aim, we also rely on a computer-assisted step to estimate a rather complicated constant depending on the dimension and the power s.
Scientific Thinking and Critical Thinking in Science Education
Authors: García-Carmona Antonio 
Published: September 2023

Abstract
Scientific thinking and critical thinking are two intellectual processes that are considered keys in the basic and comprehensive education of citizens. For this reason, their development is also contemplated as among the main objectives of science education. However, in the literature about the two types of thinking in the context of science education, there are quite frequent allusions to one or the other indistinctly to refer to the same cognitive and metacognitive skills, usually leaving unclear what are their differences and what are their common aspects. The present work therefore was aimed at elucidating what the differences and relationships between these two types of thinking are. The conclusion reached was that, while they differ in regard to the purposes of their application and some skills or processes, they also share others and are related symbiotically in a metaphorical sense; i.e., each one makes sense or develops appropriately when it is nourished or enriched by the other. Finally, an orientative proposal is presented for an integrated development of the two types of thinking in science classes.
Recent advances in fungal xenobiotic metabolism: enzymes and applications
Authors: Khan Mohd Faheem , Hof Carina , Niemcová Patricie , Murphy Cormac D. 
Published: September 2023

AbstractFungi have been extensively studied for their capacity to biotransform a wide range of natural and xenobiotic compounds. This versatility is a reflection of the broad substrate specificity of fungal enzymes such as laccases, peroxidases and cytochromes P450, which are involved in these reactions. This review gives an account of recent advances in the understanding of fungal metabolism of drugs and pollutants such as dyes, agrochemicals and per- and poly-fluorinated alkyl substances (PFAS), and describes the key enzymes involved in xenobiotic biotransformation. The potential of fungi and their enzymes in the bioremediation of polluted environments and in the biocatalytic production of important compounds is also discussed.
Suppressive effects of geotextiles on soil water evaporation
Authors: Zhang Yuan , Mishra Partha Narayan , Tiwari Satyam , Scheuermann Alexander , Li Ling 
Published: September 2023

AbstractGeotextiles find wide applications in the field for filtration and drainage. When applied on the soil surface they influence soil evaporation. The objective of this work is twofold: (a) to assess the effectiveness of four different geotextiles as cover materials on soil evaporation, (b) to study the combined effect of geotextile and perforated mechanical barriers on soil evaporation. The first set of experimental programs consisted of three soil samples i.e. kaolin, dredged mud from the port of Brisbane and a locally obtained red mud sample from Queensland, Australia tested with four types of non-woven geotextiles under four controlled climatic conditions. All the 4 geotextiles had suppression effects on soil evaporation to degrees that varied with the type of soil, ratio of pore size to thickness of geotextiles (M*), product of pore size to thickness of the geotextiles (N*) and climatic conditions. Geotextiles with a higher pore size (O95) and M* allowed water vapor to move through relatively easily leading to higher evaporation rates. Geotextile with a higher thickness and N* value provided a higher suppression effect on soil evaporation. In a recently introduced dewatering method involving perforated ventilated well method, evaporation from soil take place through geotextiles and the perforated well. Mimicking this, impacts on soil evaporation with geotextiles sandwiched between soil sample and perforated sections were also studied. Maintaining similar number and arrangement of the perforations, soil evaporation was noted to be higher with rectangular shaped perforation compared to circular shaped perforations.
LRP5 high bone mass (Worth-type autosomal dominant endosteal hyperostosis): case report and historical review of the literature
Authors: De Mattia Giammarco , Maffi Michele , Mosca Marta , Mazzantini Maurizio 
Published: September 2023

Abstract
Purpose
LRP5 high bone mass (HBM) is an autosomal dominant endosteal hyperostosis caused by mutations of the low-density lipoprotein receptor-related protein 5 (LRP5) gene. Alternative names included “autosomal dominant osteosclerosis” and “Worth disease.” The aim of the paper is to provide an historical overview of a disorder whose literature is complicated and confusing due to the past use of several denominations and lack of reviews.

Methods
We collected case reports of HBM with evidence of autosomal dominant transmission preceding the identification of the LRP5 mutations in 2002 (Worth-type endosteal hyperostosis) and cases of LRP5 HBM confirmed by genetic analysis since 2002. The prevalence of relevant clinical and laboratory findings was estimated. We described an affected woman with neurological manifestations.

Results
A 44-year-old Caucasian woman with torus palatinus complained of headache, hypo-/anosmia, and complete mixed deafness. Dual-energy X-ray absorptiometry (DEXA) scan revealed elevated bone mass. The A242T mutation of the LRP5 gene was detected. Including the present case, 155 patients have been reported to date. Neurological involvement and increased serum alkaline phosphatase (ALP) were present in 19.4% and 3.7% of cases, respectively. Facial changes and torus palatinus were observed in 61% and 41% of cases, respectively.

Conclusions
We present the only historical review on Worth-type endosteal hyperostosis, now known as LRP5 HBM. Neurological manifestations, previously considered absent in the disease, affect 19.4% of the patients. Genetic analysis and appropriate denomination of LRP5 HBM are fundamental for diagnosis and to mitigate the confusion that has long characterized this disease.
Vernal Keratoconjunctivitis: A Systematic Review
Authors: Bruschi Gaia , Ghiglioni Daniele Giovanni , Cozzi Laura , Osnaghi Silvia , Viola Francesco , Marchisio Paola 
Published: September 2023

AbstractVernal keratoconjunctivitis (VKC) is a chronic, bilateral corneal and conjunctival problem which typically presents in young individuals. VKC is characterized by itching, photophobia, white mucous discharge, lacrimation, foreign body sensation, and pain due to corneal involvement of shield ulcers. Vernal keratoconjunctivitis is categorized within ocular diseases. The diagnosis is clinical, as no sure biomarkers pathognomonic of the disease have yet been identified. The VKC therapy relies on different types of drugs, from antihistamines and topical steroids to cyclosporine or tacrolimus eye drops. In extremely rare cases, there is also the need for surgical treatment for the debridement of ulcers, as well as for advanced glaucoma and cataracts, caused by excessive prolonged use of steroid eye drops. We performed a systematic review of the literature, according to PRISMA guideline recommendations. We searched the PubMed database from January 2016 to June 2023. Search terms were Vernal, Vernal keratoconjunctivitis, and VKC. We initially identified 211 articles. After the screening process, 168 studies were eligible according to our criteria and were included in the review. In this study, we performed a systematic literature review to provide a comprehensive overview of currently available diagnostic methods, management of VKC, and its treatments.
Identification of NIFTP-Specific mRNA Markers for Reliable Molecular Diagnosis of Thyroid Tumors
Authors: Lee So-Yeon , Park Jong-Lyul , Kim Kwangsoon , Bae Ja Seong , Kim Jae-Yoon , Kim Seon-Young , Jung Chan Kwon 
Published: September 2023

AbstractNon-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) is a low-risk thyroid tumor with a favorable prognosis. Nonetheless, differentiating NIFTP from other thyroid tumors remains challenging, necessitating reliable diagnostic markers. This study is aimed at discovering NIFTP-specific mRNA markers through RNA sequencing analysis of thyroid tumor tissues. We performed mRNA expression profiling for 74 fresh frozen thyroid tissue samples, including NIFTP and benign and malignant follicular-cell-derived tumors. NIFTP/malignant tumors showed 255 downregulated genes and 737 upregulated genes compared to benign tumors. Venn diagram analysis revealed 19 significantly upregulated and 7 downregulated mRNAs in NIFTP. Akaike information criterion analysis allowed us to select OCLN, ZNF423, LYG1, and AQP5 mRNA markers. We subsequently developed a predictive model based on logistic regression analysis using these four mRNAs, which we validated in independent samples (n = 90) using a qRT-PCR assay. This model demonstrated high accuracy in predicting NIFTP in discovery dataset (AUC (area under the receiver operating characteristic) = 0.960) and the validation dataset (AUC = 0.757). Our results suggest that OCLN, ZNF423, LYG1, and AQP5 mRNA markers might serve as reliable molecular markers for identifying NIFTP among other thyroid tumors, ultimately aiding in accurate diagnosis and management of NIFTP patients.