bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring of a multi‐span prestressed concrete bridge using satellite interferometric data and comparison with on‐site sensor results
Authors: Giordano Pier Francesco , Kwapisz Maciej , Miano Andrea , Liuzzo Riccardo , Vorwagner Alois , Limongelli Maria Pina , Prota Andrea , Ralbovsky Marian 
Published: February 2025

AbstractSatellite‐based Synthetic Aperture Radar Interferometry (InSAR) represents a promising supplement to traditional Structural Health Monitoring (SHM) methods, offering a non‐invasive solution that eliminates the need for sensor installations and provides extensive spatial coverage. The European Ground Motion Service (EGMS), developed by the European Space Agency under the Copernicus program, marks a significant advancement in monitoring capabilities. EGMS utilizes data from Sentinel‐1 satellites and employs InSAR techniques to generate displacement maps covering the European territory. This paper aims to investigate the behavior of the Schottwien Viaduct on the S6 Semmering motorway in Austria, using EGMS data. This multi‐span viaduct, measuring 632 m in length, stands as one of the longest prestressed concrete beam bridges in Austria. Environmental factors, such as temperature, are analyzed alongside satellite data to evaluate their influence on bridge displacements. The findings indicate consistent displacement patterns associated with temperature, enabling the estimation of thermal expansion coefficients that align with expected values for concrete. Two distinct InSAR data processing methods are applied, both producing comparable outcomes. Additionally, the reconstructed structural displacements closely match those obtained from an on‐site static monitoring system. These findings highlight the potential of InSAR data for SHM purposes.
A Comparative Study of GO/TiO2/SiO2 Catalysts for the Photocatalytic Degradation of Methylene Blue and Phenolic Compounds
Authors: Adaileh Abeer , Abu‐Rayyan Ahmed , Khasawneh Anas , Alahmad Waed 
Published: February 2025

ABSTRACTThis study scrutinizes the photodegradation efficacy of methylene blue (MB) and selected phenolic compounds, emphasizing variables such as pH, catalyst dosage, and initial pollutant concentration. Employing a GO/TiO₂/SiO₂ composite (NC‐II) composed of 50:50% TiO₂ and SiO₂, the research identifies NC‐II as the optimal catalyst, achieving up to 100% degradation of MB under ideal conditions (0.5 ppm initial concentration, pH 10). For MB degradation, maximal rates were recorded under alkaline conditions (pH 8–10), with NC‐II reaching up to 84.6% degradation at pH 10, surpassing the 46.5% observed for NC‐I and 37.7% for NC‐III at the same pH level. Results also indicate that an increase in catalyst dosage up to 0.3 g enhances degradation rates, with NC‐II achieving 63.7% degradation at this dosage, in contrast to 17.8% for NC‐I and 53.1% for NC‐III. In the case of phenolic compounds, degradation efficiencies varied between 55% and 86%, with NC‐III demonstrating the highest photodegradation capability, achieving up to 86% degradation for Bisphenol A at a 0.3 g dosage. The degradation of 4‐chlorophenol and phenol was more pronounced at a neutral pH (5–6), with zero‐order kinetics producing superior regression coefficients (R2 = 0.91–0.99) compared to pseudo‐first‐order models. Moreover, NC‐II maintained over 80% degradation efficiency across five reusability cycles, underscoring its durability and minimal decline in performance. This study substantiates the efficacy of TiO₂:SiO₂ composites as cost‐effective, high‐performance catalysts suitable for diverse environmental conditions, where adjustments in pH and catalyst dosage can further refine photodegradation efficiency across different pollutant types.
Fractal theory of thermoelasticity in non‐integer dimension space
Authors: Sur Abhik 
Published: February 2025

AbstractMotivated by the abundance of fractals within the natural world, the present study aims to explore a generalization of vector calculus for space having a non‐integer dimension. A novel concept of thermoelasticity for fractal media has been presented utilizing a continuum model with non‐integer dimensions. Invoking the analytic continuation in dimension, the first‐ and second‐order differential vector operators, including gradient, divergence, and the scalar and vector Laplacian operators, have been found for a non‐integer dimension space. Rotationally covariant vector and scalar point functions that are independent of angles have been taken into consideration for simplicity's sake. By incorporating the memory dependence within a sliding interval, the Moore–Gibson–Thompson theory of generalized thermoelatsicity frames the heat conduction equation for the present problem. Prescribed thermal loading and mechanical shock are applied to the continuum's bounding plane. To find the solution to the governing equations, the Laplace transform technique is employed. After that, a technique based on Fourier series expansion is used to numerically invert the Laplace transform. The graphical representations and computational findings show that a number of parameters, including the delay duration and the importance of various fractal dimensions, have a substantial impact. It also looks at the effects of various kernel functions, showing that in this new theoretical framework, nonlinear kernels are better than linear kernels.
Modeling hybrid polymer ball bearing with elastoplastic contact model and its nonlinear dynamic response
Authors: Doğan Burcu Küçükoğlu , Dal Abdurrahim , Karaçay Tuncay 
Published: February 2025

Abstract
The dynamic behavior of a polymer ball bearing system is mostly dependent on the contact characteristics among the ball and the races of the bearing. Although the well-known Hertz contact theory is widely used to model contacts in conventional bearings, it cannot be directly applied to polymer bearings due to the viscoelastic characteristics of the polymer structures. In this study, contacts in the polymer hybrid ball bearing are modeled using elastoplastic characteristics. The contact between inner/outer raceways and the ball is solved in elastic, elastoplastic, and plastic characteristics regions depending on the polymer structure and the loads. Then, two-degree of freedom rigid rotor-bearing system is simulated under different rotational speeds as well as different rotor weights. In order to investigate the nonlinear nature of the dynamic response, results are analyzed with different methods such as waterfalls, bifurcation diagrams, phase diagrams and Poincaré sections. The characteristic changes in the contact form elastic to elastoplastic regions are observed as a new peak in the time history that may lead to chaotic motion. A similar response is also seen when a single ball-race contact is in the elastoplastic region. The results are helpful to understand the cause and result of contact in a viscoelastic contact condition.
Using past sample means in exponential ratio and regression type estimators under a simple random sampling
Authors: Koçyiğit Eda Gizem 
Published: February 2025

Abstract
Statistical sampling commonly employs auxiliary variables for the selection and estimation phases to improve efficiency of the estimators. However, existing estimators like ratio and product types display limitations under specific conditions. Regression-type estimators, known for their unbiasedness and efficiency, rely solely on current sample information. This highlights the need for more effective estimators capable of leveraging both past and current sample means to improve accuracy and applicability across diverse datasets. In this study, we introduce two novel memory-type estimators, drawing inspiration from Noor-ul-Amin's (2020) approach, which integrates past and current sample information using Hybrid Exponentially Weighted Moving Averages (HEWMA), particularly effective for time-based surveys. Through simulation studies and real data examples, we evaluate the performance of our estimators and identify crucial shortcomings in previous memory-type estimator studies. Furthermore, we highlight significant deficits in previous studies, particularly concerning the impact of sample sizes based on past means, correlation, number of past means, weight parameters and initial values of EWMA and HEWMA algorithms, and the distribution shape of the data on estimator efficiency. Our findings underscore the importance of parameter selection in HEWMA, a greater number of past means, and the significance of past sample sizes for optimizing the performance of the proposed memory-type estimators. By integrating HEWMA, our approach enhances the efficiency and applicability of these estimators, addressing essential gaps in the existing literature and laying the groundwork for more robust and efficient estimation techniques for future studies that use mean.
Multiple invasions decimate the most imperiled freshwater invertebrates
Authors: Karatayev Alexander Y. , Burlakova Lyubov E. , Karatayev Vadim A. , Cooper John E. , Rudstam Lars G. 
Published: February 2025

Abstract
Invaders can have devastating impacts on freshwater ecosystems, but these impacts can subside over time as ecosystems “adapt” to the invasion of new species. We analyzed changes in species composition and density of molluscs in Oneida Lake (New York, USA), one of the best studied North American lakes based on detailed surveys conducted in 1915–17, 1967–68, 1992–95, 2012, and 2022–23, and on annual benthic surveys from 2009 through 2023. Eutrophication and habitat alteration after 1920 resulted in a 25% decline in species richness and a 95% decline in the density of native gastropods by 1967, while species richness of unionids did not change. The arrival of zebra mussels in 1991 and quagga mussels in 2005 was associated with an increase in species richness and density of native gastropods and an extirpation of unionids by 1995. However, an invasion by the round goby in 2013 led to a significant decline across all gastropod families, disproportionately impacting soft-shelled and shallow-dwelling species, while other species, including invasive dreissenids, partially recovered 3–7 years after the goby invasion. This mollusc recovery was depth-related and was limited to deeper areas. Altogether, molluscan communities were sensitive to ecosystem change and invasives species, with some invaders offsetting the impacts of eutrophication and habitat alterations. While individual stressors have taxon-specific and sometimes positive impacts, eutrophication and species invasions have collectively decimated the native mollusc community over the past century.
Should we Relax Abortion Reporting Requirements in Great Britain?
Authors: Parsons Jordan A. 
Published: February 2025

Abstract
In Great Britain, abortion has long proven to be contentious in the context of policy making, with it remaining a criminal offence. Despite progress over the last decade to permit home use of abortion medications and remote consultation, we have seen prosecutions in recent years. Regulatory frameworks such as this have been framed as ‘abortion exceptionalism’, such that termination of pregnancy is far more tightly regulated than comparable healthcare. One example of this exceptionalism is the strict abortion reporting requirements found in Great Britain. Per these requirements, any doctor providing abortion care must notify the relevant Chief Medical Officer or Public Health Scotland of each and every termination, including a startling amount of information about the patient. The extent of these requirements raises serious questions in relation to patient confidentiality and is, I suggest, an outlier in these terms. Further, it is questionable whether such reporting can be in any way said to be in the public interest. I begin by outlining the Abortion Regulations 1991, which apply in England and Wales, before considering the updated Scottish approach brought about by the Abortion (Scotland) Amendment Regulations 2021. I then move to examine the abortion reporting requirements against our general conception of patient confidentiality, highlighting the discordance. I ultimately argue that the requirements are not adequately justified and represent yet another, often forgotten, example of abortion exceptionalism in Great Britain. Thus, I suggest that all three nations that comprise Great Britain ought to further revise their approach to abortion data.
Reimagining Higher Education: Navigating the Challenges of Generative AI Adoption
Authors: Hughes Laurie , Malik Tegwen , Dettmer Sandra , Al-Busaidi Adil S. , Dwivedi Yogesh K. 
Published: February 2025

Abstract
The proliferation of generative artificial intelligence (GenAI) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods and practices within higher education (HE). The widespread adoption of GenAI tools and processes highlights an ongoing change to existing perceptions of the role of humans and machines. Academics have expressed concerns relating to: academic integrity, undermining critical thinking, lowering of academic standards and the threat to existing academic models. This study presents a mixed methods approach to developing valuable insight to the key underlying challenges impacting GenAI adoption within HE. The results highlight many of the key challenges impacting decision makers in the formation of policy and strategic direction. The findings identify significant interdependencies between the key underlying challenges associated with GenAI adoption in HE. We further discuss the implications in the findings of the high levels of driving power of the factors: (i) perceived risks from Large Language Model training and learning; (ii) the reliability of GenAI outputs in the context of impact on creativity and decision making; (iii) the impact from poor levels of GenAI platform regulation. We posit this research as offering new insight and perspective on the changing landscape of HE through the widespread adoption of GenAI.
Multi-agent Path Planning Based on Conflict-Based Search (CBS) Variations for Heterogeneous Robots
Authors: Bai Yifan , Kotpalliwar Shruti , Kanellakis Christoforos , Nikolakopoulos George 
Published: February 2025

Abstract
This article introduces a novel Multi-agent path planning scheme based on Conflict Based Search (CBS) for heterogeneous holonomic and non-holonomic agents, designated as Heterogeneous CBS (HCBS). The proposed methodology employs a hybrid

$$A^*$$

A
∗

algorithm for non-holonomic car-like robots and a conventional

$$A^*$$

A
∗

algorithm for holonomic robots. Following this, a body conflict detection strategy is utilized to construct the conflict tree, bridging the initial path planning with the resolution of conflicts among agents. Moreover, we present two variants of HCBS: the Enhanced Conflict-Based Search (EHCBS) and the Depth-First Conflict-Based Search (DFHCBS). We evaluate the efficacy of our proposed algorithms—HCBS, EHCBS, and DFHCBS—against a standard prioritized planning algorithm, focusing on success rates and computational efficiency in environments with varying numbers of agents and obstacles. The empirical results demonstrate that EHCBS exhibits superior computational efficiency in small, dense environments, while DFHCBS performs well in larger-scale environments. This highlights the adaptability of our proposed approaches in various settings, proving the computational advantage of EHCBS and DFHCBS over traditional methods.
Identifying a suitable short form to assess Brand Love
Authors: Green Lucy Rose , Elphinstone Brad 
Published: February 2025

Abstract
Numerous Brand Love (BL) measures exist, with arguably the most comprehensive developed by Batra et al. (2012). Bagozzi et al. (2017) subsequently derived three short forms from the original measure, comprising 6, 13, and 26 items. The current study provides researchers with clarity in selecting a short form by assessing the factorial validity, reliability, convergent, and criterion-related validity of the three BL short forms in community and student samples. Each short form was reliable and valid, as were the 13 BL subdimensions comprising the 26-item measure. With minor modifications, the 6-item measure provided better model fit than the 13-item measure. The 26-item measure provided adequate model fit when the three second-order factors proposed by Batra et al. were excluded from the model. Overall, the 26-item measure is recommended, particularly for researchers who wish to investigate the unique contribution of each subdimension. If survey space is limited and study aims support investigating BL as a global construct, the 6-item measure is a viable option.
Effect of Solar Parameters on Geomagnetic Storm Formation in the Ascending Phase of the 25th Solar Cycle
Authors: Can Zehra , Erdağ Hasan Şafak 
Published: February 2025

Abstract
In this paper, starting from solar storms, which are the main cause of geomagnetic storms, the effects of the speed (v) and density (Np) of solar plasma coming to the Earth on geomagnetic storms are investigated. During the ascending phase of the 25th solar cycle (2021 – 2022), various geomagnetic storms from G1 to G4 were examined. Multiple linear regression models are created to examine the effects of solar parameters that cause changes in geomagnetic storm processes. The effects of the speed and charge density of solar wind, coronal mass ejections (CMEs), corotating interaction regions (CIRs), and CME-CME interactions on the Dst index, which reflects disturbances in the Earth’s magnetic field and the scale of geomagnetic storms, are statistically analyzed. It is determined that a one-unit change in speed in 82 geomagnetic storms in the statistical models created a decrease in Dst of approximately −0.25 nT. In contrast, it is determined that a unit increase in particle density also reduces the effect and duration of a geomagnetic storm. However, if there is an increase in density during the main phase of the storm, then the storm level increases. We believe that our results will significantly contribute to predicting the formation of geomagnetic storms and their possible effects on space weather.
On a Generalization of all Strong Kleene Generalizations of Classical Logic
Authors: Cobreros Pablo , Grábalos Isabel , Toranzo Calderón Joaquín , Viñeta Javier , Zirattu artina 
Published: February 2025

Abstract
In his 2016 article On All Strong Kleene Generalizations of Classical Logic, Stefan Wintein provides a detailed and comprehensive semantic and tableau-based analysis of the consequence relations that can be defined over the four-valued Belnap–Dunn semantics. These include familiar consequence relations like

$$\textsf{FDE}$$

FDE

, which takes

$$\{t, b\}$$

{
t
,
b
}

as the set of designated values, but also much less familiar relations that don’t follow the designated-value strategy (i.e. defining logical consequence as preservation of a set of values). It turns out that many of the interesting features of these relations are made evident at the level of metainferences and, although Wintein discusses some aspects of metainferences, his work does not provide a systematic way to decide on the validity of metainferences for these logics. In this paper, we extend Wintein’s tableaux from inferences to metainferences. The paper ends with a discussion about different ways in which we can understand the notion of metainference validity.
Inside Classical Logic: Truth, Contradictions, Fractionality
Authors: Piazza Mario , Tesi Matteo 
Published: February 2025

Abstract
Fractional semantics provides a multi-valued interpretation of a variety of logics, governed by purely proof-theoretic principles. This approach employs a method of systematic decomposition of formulas through a well-disciplined sequent calculus, assigning a fractional value that measures the “quantity of identity” (intuitively, “quantity of truth”) within a sequent. A key consequence of this framework is the breakdown of the traditional symmetry between truth and contradiction. In this paper, we explore the ramifications of this novel perspective on classical logic. Specifically, we (i) introduce an alternative paraconsistent consequence relation, and (ii) show how the gradual character of contradictions induces a corresponding characterization of tautologies, thereby obtaining a full-fledged informational refinement of classical logic.
Priority monism and the emergence of spacetime
Authors: Baron Sam , Pohlmann Jessica 
Published: February 2025

Abstract
There has been a recent surge of interest in the idea that spacetime is not fundamental. Much of this interest has focused on the implications for physics. There has been less work investigating the implications of spacetime emergence for existing theories in metaphysics. This paper aims to fill this gap by considering the impact of spacetime emergence on priority monism. We argue that one prominent version of priority monism is incompatible with spacetime emergence. We go on to present a solution to this problem, which involves rethinking the nature of concreteness. This leads to a new version of priority monism that is compatible with emergent spacetime.
Management of Bone Health in Adult Mastocytosis
Authors: Degboé Yannick , Nezzar Coralie , Alary Pauline , Maëva Masson , Bulai Livideanu Cristina , Laroche Michel 
Published: February 2025

Abstract

Purpose of Review
The present review will examine bone disease in mastocytosis, analyze the existing literature on its management, and propose a strategy for osteoporosis treatment in systemic mastocytosis. This strategy is based on both the available scientific evidence and the experience gained at our expert center (CEREMAST).

Recent Findings
Systemic mastocytosis is a rare disorder, primarily affecting the bone and leading to osteoporosis, bone pain, and bone structural abnormalities. While traditionally described in indolent systemic mastocytosis, bone involvement is also observed in bone marrow mastocytosis. The true prevalence of systemic mastocytosis is likely underreported, highlighting the importance for clinicians to be familiar with the condition, particularly in cases of osteoporosis. Osteoporosis management typically involves bisphosphonates, with potential benefits from combining them with specific treatments like interferon in severe osteoporosis with vertebral fractures. The potential of new mast cell-targeting molecules to treat bone involvement needs to be demonstrated.

Summary
This review provides a guide for osteoporosis and bone pain management in systemic mastocytosis.