bluuebunny/crossref_metadata_2025_split huggingface dataset:
3Rs of Sustainable Activism on Social Media: Relatability, Reliability and Redress
Authors: Luzak J. 
Published: August 2024

AbstractThe achievement of sustainability goals will take a joint effort and content creators could be one of the actors helping with reaching it. Reliable but relatable communication on sustainable lifestyles on social media could reach many consumers and contribute to changing their behaviour patterns. However, the content creators’ activities need to fit within certain parameters for the benefits to outweigh the costs. This article identifies three important parameters that regulation should safeguard: Relatability, reliability, and redress. A key reason why content creators have managed to establish themselves as influencers is that they are relatable. But content creators may not be able to ensure what they tell their followers is reliable. That in turn raises the question of who should be responsible for providing redress in cases of misstatements. Following the critical analysis of the European legal framework, this article considers the need for further adaptations to the current rules or even the adoption of new rules more strictly regulating sustainable activism on social media.
The Economic Impacts of Rural Water Supply Infrastructures in Developing Countries: Empirical Evidence from Senegal
Authors: Magbondé Kadoukpè Gildas , Thiam Djiby Racine , Wagner Natascha 
Published: August 2024

AbstractThe paper addresses the often-neglected economic impacts associated with the supply of hydraulic infrastructure in rural and under-serviced communities in developing countries. We rely on a rich panel dataset including 1319 Senegalese rural households collected in 2016 and 2020, during the deployment of the first phase of the Emergency Program for Community Development (PUDC). By combining propensity score matching (PSM), inverse probability weighting, difference-in-differences, and quantile regression, we find that access to piped water improves employment in the agricultural sector but has no significant impact on household expenditures. After controlling for attrition, through PSM, we find that the employment effect operates through access to a greater quantity of water and a reduction in the time women devote to water fetching chores. Moreover, when bundled with complementary infrastructure interventions such as the construction of rural roads, we find that access to water services generates an even higher impact. The quantile analysis shows that non-poor households seem to benefit more from the provided water supply infrastructure compared to poor households. Finally, when comparing the welfare effect of government-led PUDC water supply with that of community-led initiatives, our findings advocate for the widespread implementation of the former for reasons of cost-effectiveness.
Imagination Cannot Generate Empirical Justification or Knowledge
Authors: Egeland Jonathan 
Published: August 2024

AbstractWhat is the epistemic function of imagination? Traditionally, philosophers have claimed that the epistemic function of imagination is exhausted by its ability to provide justification for modal beliefs, or that it is epistemically irrelevant. However, in recent years a number of philosophers have broken with the tradition by arguing that imagination can generate justification or knowledge about contingent empirical facts. This paper argues against this view by developing a new dilemma. The upshot of the argument is that although imagination does have an important epistemic function that has evaded the traditional view, it cannot give rise to new empirical justification or knowledge.
Environmental factors affecting the spatio-temporal distribution of zooplankton functional groups in a deep alkaline lake
Authors: Dorak Zeynep , Gaygusuz Özcan , Köker Latife , Albay Meriç , Akçaalan Reyhan 
Published: August 2024

AbstractIn recent years, trait-based studies have gained importance as an extension of taxonomic studies to better understanding ecosystem processes. However, these studies are still very limited in Mediterranean freshwaters. The aim of the study was to link functional groups with environmental factors and ecosystem processes for zooplankton in the Lake Iznik, which is an alkaline lake in Türkiye. Morphological, physiological and behavioural categories have been selected as response traits. Physical and chemical variables and trophic state are important predictors of functional traits. A total of 26 zooplankton taxa belonging to four taxonomic groups were classified into five functional groups according to functional traits. It was found that functional groups were significantly affected by seasonally changing environmental conditions, but not by depth. The main predictor of zooplankton functional groups was electrical conductivity. As a result of the alkaline conditions and the deterioration of the trophic state of the lake (meso ~ to eutrophy), the low taxonomic richness, dominance of the microphagous feeding type and small-bodied taxa indicate ecosystem degradation leading to functional depletion (homogenisation). The results showed that temporal variations of environmental variables can affect zooplankton functional groups and that trait-based zooplankton studies will enable a better understanding of ecosystem processes in deep alkaline lakes.
Risk of Neurodevelopmental Disorders in Offspring of Parents with Major Depressive Disorder: A Birth Cohort Study
Authors: Lin Yu-Han , Tsai Shih-Jen , Bai Ya-Mei , Chen Tzeng-Ji , Chen Mu-Hong 
Published: August 2024

AbstractStudies have reported inconsistent results regarding associations between parental depression and offspring neurodevelopmental disorders, such as developmental delay and autism spectrum disorder (ASD). In all, 7,593 children who were born between 1996 and 2010 in Taiwan and had at least one parent with major depressive disorder and 75,930 birth-year- and sex-matched children of parents without major depressive disorder were followed from 1996 or time of birth to the end of 2011. Intergroup differences in neurodevelopmental conditions—including ASD, attention-deficit hyperactivity disorder (ADHD), tic disorder, developmental delay, and intellectual disability (ID)—were assessed. Compared with the children in the control group, the children of parents with major depression were more likely [hazard ratio (HR), 95% confidence interval (CI)] to develop ADHD (1.98, 1.80–2.18), ASD (1.52, 1.16–1.94), tic disorder (1.40, 1.08–1.81), developmental delay (1.32, 1.20–1.45), and ID (1.26, 1.02–1.55). Parental depression was associated with offspring neurodevelopmental disorders, specifically ASD, ADHD, developmental delay, ID, and tic disorder. Therefore, clinicians should closely monitor the neurodevelopmental conditions of children of parents with depression.
The impact of cultural amenities on inter-urban location: a discrete choice experiment on French students
Authors: Mouate Olivier , Travers Muriel 
Published: August 2024

AbstractSince the late 90 s, the literature on the role of culture in the development of cities has grown. A first issue of this literature is to analyse the direction of the causality between the location of people and the one of cultural activities. The second issue is to measure the non-market values produced by cultural assets in cities. The aim of this paper is to investigate the impact of cultural amenities on students' future interurban location choice by using the discrete choice experiment method. The latter is used to address the two issues raised in the literature by modelling a location choice between cities that differ in terms of the living environment offered, and in particular the budget allocated to cultural facilities. Our data concerns students surveyed in 2018 in the city of Angers (France). Our results highlight the existence of a willingness to pay for living after graduation in a city with a budget devoted to cultural facilities which is above the average for the medium-sized French cities. We also observe a heterogeneity of students’ preferences according to their index of current cultural awareness created using a cluster analysis. Indeed, the more culturally aware students currently are, the more they will be willing to pay to live in a city offering an increased cultural budget. Finally, we observe a difference in willingness to pay depending on the faculty in which the student is enrolled, with the lowest one for students in Sciences, Engineering and Health.
Anisotropic wettability transition on nanoterraced glass surface by Ar ions
Authors: Hans Sukriti , Parida Basanta Kumar , Augustine Sebin , Pachchigar Vivek , Sooraj K. P. , Ranjan Mukesh 
Published: August 2024

AbstractIon beam sputtering (IBS) can induce nanoripple patterns in a short time on variety of materials for wide range of applications. In this work, we describe the nanoripple as well as terrace pattern formation by IBS on soda-lime glass surfaces and the mechanisms leading to such pattern formations. The role of ion energy, ion fluence, and ion incidence angle on the morphology of the structural features is systematically explored. For a range of ion beam parameter values with energy varying from 600 to 1500 eV and fluence in the range 9.7 × 1017 to 2.0 × 1019 ions/cm2 at fixed incidence angle of 45°, transition of ripples to terraces has been observed. The experimental results are explained on the basis of recently modified KS equation which clearly explains the simultaneous role of nonlinear cubic term in the terrace formation. It is also demonstrated how ion beam can be used to tailor the wettability of glass surface and makes it hydrophobic in nature. Due to pattern formation, anisotropic hydrophobicity is observed showing an increasing trend owing to the magnification of the amplitude of nanopatterns developed on the surface.
Effects of the incorporation of copper on the micro structure, charge transport and photoelectrical properties of sputtered ZnTe:Cu films
Authors: Alvarez M. A. Gomez , Calderón-Martínez A. I. , Rodríguez-Melgarejo F. , Hernández-Landaverde M. A. , Meléndez-Lira M. , Flores-Ruiz F. J. , Sandoval S. Jiménez 
Published: August 2024

AbstractAdvances in solar cell technology require improving the relevant physical properties of the constituent materials. One important functionality in photovoltaic devices is the efficient charge transport through the cell. Copper-doped zinc telluride (ZnTe:Cu) has been used as contact to cadmium telluride, the light-absorbing layer in photovoltaic devices. Out of the various deposition techniques, radio frequency sputtering is one of the most versatile and widely employed in research laboratories and industry. In this work, is presented a thorough characterization of ZnTe and ZnTe:Cu films grown by sputtering as a function of substrate temperature (Ts = 300 and 350 °C) and copper concentration (1, 3 and 5 at%). Besides the structural (X-ray diffraction), optical (UV-Vis spectroscopy) and electrical (Hall effect) characterizations, the present study included other studies relevant for optoelectronic applications such as photoluminescence, photoconductivity (under constant or transient illumination) and, in order to determine the effect of copper on the work function, Kelvin probe force microscopy was applied to the samples. Our results show important improvements in crystallite size, conductivity and photoconducting properties derived from the incorporation of copper in the ZnTe lattice.
An Efficient and Versatile Variational Method for High-Dimensional Data Classification
Authors: Cai Xiaohao , Chan Raymond H. , Xie Xiaoyu , Zeng Tieyong 
Published: August 2024

AbstractHigh-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose an efficient and versatile multi-class semi-supervised classification method for classifying high-dimensional data and unstructured point clouds. To begin with, a warm initialization is generated by using a fuzzy classification method such as the standard support vector machine or random labeling. Then an unconstraint convex variational model is proposed to purify and smooth the initialization, followed by a step which is to project the smoothed partition obtained previously to a binary partition. These steps can be repeated, with the latest result as a new initialization, to keep improving the classification quality. We show that the convex model of the smoothing step has a unique solution and can be solved by a specifically designed primal–dual algorithm whose convergence is guaranteed. We test our method and compare it with the state-of-the-art methods on several benchmark data sets. Thorough experimental results demonstrate that our method is superior in both the classification accuracy and computation speed for high-dimensional data and point clouds.
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
Authors: de la Lastra José M. Pérez , Wardell Samuel J. T. , Pal Tarun , de la Fuente-Nunez Cesar , Pletzer Daniel 
Published: August 2024

Abstract
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine. In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged as powerful tools for combating antimicrobial resistance (AMR). This review aims to explore the role of AI/ML in AMR management, with a focus on identifying pathogens, understanding resistance patterns, predicting treatment outcomes, and discovering new antibiotic agents. Recent advancements in AI/ML have enabled the efficient analysis of large datasets, facilitating the reliable prediction of AMR trends and treatment responses with minimal human intervention. ML algorithms can analyze genomic data to identify genetic markers associated with antibiotic resistance, enabling the development of targeted treatment strategies. Additionally, AI/ML techniques show promise in optimizing drug administration and developing alternatives to traditional antibiotics. By analyzing patient data and clinical outcomes, these technologies can assist healthcare providers in diagnosing infections, evaluating their severity, and selecting appropriate antimicrobial therapies. While integration of AI/ML in clinical settings is still in its infancy, advancements in data quality and algorithm development suggest that widespread clinical adoption is forthcoming. In conclusion, AI/ML holds significant promise for improving AMR management and treatment outcome.
Impact of Relative Humidity on the Formation of Low-Frictional Interface and its Continuity in Tribological Systems with Hydrogenated Carbon Nitride Coatings
Authors: Kuriyagawa Kazuya , Tamagawa Tatsuki , Adachi Koshi 
Published: August 2024

AbstractThe impact of relative humidity on the formation of low-frictional interface in hydrogenated carbon nitride (CNx:H) coatings sliding against Si3N4 balls and the formation continuity was elucidated through friction tests conducted in both air and nitrogen atmospheres with controlled relative humidity levels. In air atmosphere, a carbonaceous tribolayer with a transformed structure from the initial CNx:H was formed on Si3N4 at less than the critical humidity that existed in 1.0–3.0% RH, resulting in low friction (μ < 0.05) and a low specific wear rate of the balls (< 2 × 10–9 mm3/N·m). In contrast, this tribolayer failed to form above 3.0% RH. In nitrogen atmosphere, within the 0.25–1.0% RH range, the tribolayer continued to form concurrently with wear progression, maintaining low friction for over 50,000 cycles. However, in less than this humidity range, the lifetime of low friction was limited owing to the tribolayer’s structural alteration. Thus, relative humidity influences not only the formation of the low-frictional interface but also the formation continuity. On the CNx:H friction surface, hydrogen, hydroxyl, and oxygen groups from environmental water and oxygen molecules continued to chemisorb owing to tribochemical reactions on the uppermost few nanometers during continuous low friction in a nitrogen atmosphere, while hydrogen content of CNx:H desorbed. This study experimentally confirmed the critical role of controlling relative humidity in tribological systems using CNx:H coatings to achieve low friction and improve its durability of low friction through the continuous formation of the low-frictional interface.
Effects of climate change on seed germination may contribute to habitat homogenization in freshwater forested wetlands
Authors: Carr Kori , Ozowara Xavier , Sloey Taylor M. 
Published: August 2024

AbstractClimate changes in temperate regions are expected to result in warmer, shorter winters in temperate latitudes. These changes may have consequences for germination of plant species that require a period of physiological dormancy. The effect of cold duration on seed germination has been investigated in a number of plant taxa, but has not been well studied in wetland and bottomland forest tree species, an ecosystem that is threatened by habitat homogenization. Our work sought to test the role of changing winter temperatures on seed germination in specialist (Nyssa aquatica and Taxodium distichum) and generalist (Acer rubrum and Liquidambar styraciflua) tree species within forested wetlands throughout the eastern U.S. The experiment was conducted in an environmental chamber in Norfolk, VA, USA. Seeds of T. distichum, N. aquatica, A. rubrum, and L. styraciflua were exposed to each of seven pre-germination cold exposure durations (0, 15, 30, 45, 60, 75, and 90 days) and observed for germination for 30 days. Cold stratification duration positively impacted total percent germination in N. aquatica (p < 0.0001) as well as A. rubrum (p = 0.0008) and T. distichum (p = 0.05). Liquidambar styraciflua seeds exhibited more rapid rates of germination with increasing cold exposure duration and greater percent germination compared to the others regardless of cold stratification duration. Our results provide insight into how community dynamics and biodiversity of wetland and bottomland trees may shift with a changing climate. Further, this work emphasizes the importance of understanding the role of plant functional traits in early life stages in community dynamics and has implications for management practices.
Identification of candidate genes and molecular mechanisms related to asthma progression using bioinformatics
Authors: Zou Songbing , Meng Fangchan , Xu Guien , Yu Rongchang , Yang Chaomian , Wei Qiu , Xue Yanlong 
Published: August 2024

Abstract
Background
Asthma is a heterogeneous disorder. This study aimed to identify changes in gene expression and molecular mechanisms associated with moderate to severe asthma.

Methods
Differentially expressed genes (DEGs) were analyzed in GSE69683 dataset among moderate asthma and its controls as well as between severe asthma and moderate asthma. Key module genes were identified via co-expression analysis, and the molecular mechanism of the module genes was explored through enrichment analysis and gene set enrichment analysis (GSEA). GSE89809 was used to verify the characteristic genes related to moderate and severe asthma.

Results
Accordingly, 2540 DEGs were present between moderate asthma and the control group, while 6781 DEGs existed between severe asthma and moderate asthma. These genes were identified into 14 co-expression modules. Module 7 had the highest positive correlation with severe asthma and was recognized to be a key module by STEM. Enrichment analysis demonstrated that the module genes were mainly involved in oxidative stress-related signaling pathways. The expression of HSPA1A, PIK3CG and PIK3R6 was associated with moderate asthma, while MAPK13 and MMP9 were associated with severe asthma. The AUC values were verified by GSE89809. Additionally, 322 drugs were predicted to target five genes.

Conclusion
These results identified characteristic genes related to moderate and severe asthma and their corresponding molecular mechanisms, providing a basis for future research.
Comparison of golden-angle radial sparse parallel (GRASP) and conventional cartesian sampling in 3D dynamic contrast-enhanced mri for bladder cancer: a preliminary study
Authors: Ueno Yoshiko , Sofue Keitaro , Tamada Tsutomu , Takeuchi Mitsuru , Ebisu Naoya , Nishiuchi Kentaro , Hara Takuto , Hyodo Toshiki , Miyake Hideaki , Murakami Takamichi 
Published: August 2024

Abstract
Purpose
To compare the image quality, inter-reader agreement, and diagnostic capability for muscle-invasive bladder cancer (MIBC) of the reconstructed images in sections orthogonal to the bladder tumor obtained by 3D Dynamic contrast-enhanced (DCE)-MRI using the Golden-angle Radial Sparse Parallel (GRASP) technique with the images directly captured using the Cartesian sampling.

Materials and methods
This study involved 68 initial cases of bladder cancer examined with DCE-MRI (GRASP: n = 34, Cartesian: n = 34) at 3 Tesla. Four radiologists conducted qualitative evaluations (overall image quality, absence of motion artifact, absence of streak artifact, and tumor conspicuity) using a five-point Likert scale (5 = Excellent/None) and quantitative signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) measurements. The areas under the receiver-operating characteristic curves (AUCs) for the Vesical Imaging-Reporting and Data System (VI-RADS) DCE score for MIBC assessment were calculated. Inter-reader agreement was also assessed.

Results
GRASP notably enhanced overall image quality (pooled score: GRASP 4 vs. Cartesian 3, P < 0.0001), tumor conspicuity (5 vs. 3, P < 0.05), SNR (Median 38.2 vs. 19.0, P < 0.0001), and CNR (7.9 vs. 6.0, P = 0.005), with fewer motion artifacts (5 vs. 3, P < 0.0001) and minor streak artifacts (5 vs. 5, P > 0.05). Although no significant differences were observed, the GRASP group tended to have higher AUCs for MIBC (pooled AUCs: 0.92 vs. 0.88) and showed a trend toward higher inter-reader agreement (pooled kappa-value: 0.70 vs. 0.63) compared to the Cartesian group.

Conclusions
Using the GRASP for 3D DCE-MRI, the reconstructed images in sections orthogonal to the bladder tumor achieved higher image quality and improve the clinical work flow, compared to the images directly captured using the Cartesian. GRASP tended to have higher diagnostic ability for MIBC and showed a trend toward higher inter-reader agreement compared to the Cartesian.