bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electromagnetic Subsurface Imaging in the Presence of Metallic Structures: A Review of Numerical Strategies
Authors: Castillo-Reyes Octavio , Queralt Pilar , Piñas-Varas Perla , Ledo Juanjo , Rojas Otilio 
Published: August 2024

AbstractElectromagnetic (EM) imaging aims to produce large-scale, high-resolution soil conductivity maps that provide essential information for Earth subsurface exploration. To rigorously generate EM subsurface models, one must address both the forward problem and the inverse problem. From these subsurface resistivity maps, also referred to as volumes of resistivity distribution, it is possible to extract useful information (lithology, temperature, porosity, permeability, among others) to improve our knowledge about geo-resources on which modern society depends (e.g., energy, groundwater, and raw materials, among others). However, this ability to detect electrical resistivity contrasts also makes EM imaging techniques sensitive to metallic structures whose EM footprint often exceeds their diminutive stature compared to surrounding materials. Depending on target applications, this behavior can be advantageous or disadvantageous. In this work, we review EM modeling and inverse solutions in the presence of metallic structures, emphasizing how these structures affect EM data acquisition and interpretation. By addressing the challenges posed by metallic structures, our aim is to enhance the accuracy and reliability of subsurface EM characterization, ultimately leading to improved management of geo-resources and environmental monitoring. Here, we consider the latter through the lens of a triple helix approach: physics behind metallic structures in EM modeling and imaging, development of computational tools (conventional strategies and artificial intelligence schemes), and configurations and applications. The literature review shows that, despite recent scientific advancements, EM imaging techniques are still being developed, as are software-based data processing and interpretation tools. Such progress must address geological complexities and metallic casing measurements integrity in increasing detail setups. We hope this review will provide inspiration for researchers to study the fascinating EM problem, as well as establishing a robust technological ecosystem to those interested in studying EM fields affected by metallic artifacts.
Combined Effects of Social Exclusion and Social Rank Feedback on Risky Decision-Making Across Adolescence
Authors: Lorenz Corinna , Ferdinand Nicola K. 
Published: August 2024

Abstract
Adolescents’ need to belong and concerns about social status are thought to increase risk-taking, however, not much is known about how feedback about social rank and the effects of social exclusion moderate risky decision-making. To this end, the present study examined how social rank feedback moderates the effects of social exclusion on risky decisions during adolescence. The experimental study included a total of 122 participants (11–19 years; 44% female). Participants were randomly assigned to receive either individual or social rank feedback in the Columbia Card Task after social inclusion and exclusion via the Cyberball paradigm. Contrary to expectations, social exclusion led to more cautious decision-making. Mid-adolescents were most influenced by the combination of social exclusion and social rank feedback, while late adolescents became more cautious with individual feedback. These findings suggest that peer influences also have adaptive effects, increasing sensitivity to risk information, with developmental differences in the role of social rank.
The Influence of Descriptive Representation on Support for Judicial Nominees and the US Supreme Court
Authors: Armaly Miles T. , Krewson Christopher N. , Lane Elizabeth A. 
Published: August 2024

AbstractWe argue that characteristics of unelected officials directly influence individuals’ perceptions and evaluations of them. These evaluations then have indirect, downstream consequences on evaluations of the institution. To test this, we fielded a unique survey with an oversample of Black Americans after the nomination of Justice Ketanji Brown Jackson to the Supreme Court. Using a conjoint experimental design to randomize nominee race, we find that increased racial descriptive representation elicits more favorable views of the nominee and Court among Black respondents. Causal mediation analysis confirms our theoretical expectation that descriptive representation indirectly influences views of the Court through its effects on views of nominees. The effects we uncover are not confined to co-partisan nominees, indicating that descriptive representation may matter for more than policy reasons alone. Finally, our external validity test suggests these effects generalize beyond our experimental setting, with Black (but not white) respondents equally as supportive of an anonymous profile matching Justice Jackson’s characteristics as they are of Jackson herself.
Long-term (10-year) monitoring of transposon-mediated transgenic cattle
Authors: Yum Soo-Young , Choi Bae Young , Gim Gyeong-Min , Eom Kyeong-Hyeon , Lee Seong-Beom , Kim Daehyun , Lim Euntaek , Kim Do-Yoon , Heo Seong-Eun , Shim Donghwan , Jang Goo 
Published: August 2024

AbstractThe production of transgenic animals using non-viral methods has raised questions regarding their long-term health and genomic stability. In this study, we evaluated these aspects in transgenic cattle over ten years, using transposon-mediated gene transfer. Our longitudinal analysis included a comprehensive health assessment and whole-genome DNA resequencing. We found no significant alterations in physiological parameters or health complications in transposon-mediated transgenic cattle that exceeded 10 years of age. Genomic analysis revealed that the rates of somatic mutations and copy number variations in transgenic cattle were comparable to those in non-transgenic cattle. Furthermore, structural variants were infrequent, suggesting that transposon-mediated gene insertion did not compromise genomic integrity. These findings highlight the viability of transposon systems for generating transgenic livestock, potentially expanding their applications in agriculture and biotechnology. This study contributes significantly to our understanding of the long-term implications of transgenesis in large animals and supports the safety and stability of this method.
Accuracy is not enough: a heterogeneous ensemble model versus FGSM attack
Authors: Elsheikh Reham A. , Mohamed M. A. , Abou-Taleb Ahmed Mohamed , Ata Mohamed Maher 
Published: August 2024

AbstractIn this paper, based on facial landmark approaches, the possible vulnerability of ensemble algorithms to the FGSM attack has been assessed using three commonly used models: convolutional neural network-based antialiasing (A_CNN), Xc_Deep2-based DeepLab v2, and SqueezeNet (Squ_Net)-based Fire modules. Firstly, the three individual deep learning classifier-based Facial Emotion Recognition (FER) classifications have been developed; the predictions from all three classifiers are then merged using majority voting to develop the HEM_Net-based ensemble model. Following that, an in-depth investigation of their performance in the case of attack-free has been carried out in terms of the Jaccard coefficient, accuracy, precision, recall, F1 score, and specificity. When applied to three benchmark datasets, the ensemble-based method (HEM_Net) significantly outperforms in terms of precision and reliability while also decreasing the dimensionality of the input data, with an accuracy of 99.3%, 87%, and 99% for the Extended Cohn-Kanade (CK+), Real-world Affective Face (RafD), and Japanese female facial expressions (Jaffee) data, respectively. Further, a comprehensive analysis of the drop in performance of every model affected by the FGSM attack is carried out over a range of epsilon values (the perturbation parameter). The results from the experiments show that the advised HEM_Net model accuracy declined drastically by 59.72% for CK + data, 42.53% for RafD images, and 48.49% for the Jaffee dataset when the perturbation increased from A to E (attack levels). This demonstrated that a successful Fast Gradient Sign Method (FGSM) can significantly reduce the prediction performance of all individual classifiers with an increase in attack levels. However, due to the majority voting, the proposed HEM_Net model could improve its robustness against FGSM attacks, indicating that the ensemble can lessen deception by FGSM adversarial instances. This generally holds even as the perturbation level of the FGSM attack increases.
SIR epidemics in interconnected networks: threshold curve and phase transition
Authors: Das Saswata , Samaei Mohammad Hossein , Scoglio Caterina 
Published: August 2024

AbstractFor simplicity of mathematical modeling of epidemic spreading, the assumption is that hosts have identical rates of disease-causing contacts. However, in the real world, the scenario is different. The network-based framework allows us to capture the complex interdependencies and structural heterogeneity present in real-world systems. We examine two distinct scenarios involving the dynamics of susceptible-infected-recovered (SIR) in interconnected networks. In the first part, we show how the epidemic threshold of a contact network changes as a result of being coupled with another network for a fixed infection strength. The model employed in this work considers both the contact networks and interconnections as generic. We have depicted the epidemic threshold curve for interconnected networks, considering the assumption that the infection could be initially present in either one or both of the networks. If the normalized infection strengths are above the threshold curve, the infection spreads, whereas if the normalized infection strengths are below the threshold curve, the disease does not spread. This is true for any level of interconnection. In the second part, we investigate the spillover phenomenon, where the disease in a novel host population network comes from a reservoir network. We have observed a clear phase transition when the number of links or the inter-network infection rate exceeds a certain threshold, keeping all other parameters constant. We observe two regimes for spillover: a major spillover region and a minor spillover region based on interpopulation links (fraction of links between two networks) and inter-network infection strength (infection rate between reservoir and host network). If the interpopulation links and inter-network infection strength are in the major spillover region, the spillover probability is high, while if the former parameters are in the minor spillover region, the spillover probability is low. When the number of infected individuals within a reservoir network is nearly equal, and the inter-network infection strength remains constant, the threshold number of links required to achieve the spillover threshold condition varies based on the network topology. Overall, this work contributes to the understanding of SIR dynamics in interconnected networks and sheds light on the behavior of epidemics in complex systems.
Exploring the Landscape of Home-Based Teleradiology in Japan: A Qualitative Analysis of Radiologists’ and Neurosurgeons’ Experiences to Elucidate Advantages, Challenges, and Future Directions
Authors: Ueki Shinya , Kaneda Yudai , Ozaki Akihiko , Kotera Yasuhiro , Tanimoto Tetsuya , Omoto Yuka , Kurosaki Kana , Yamazaki Hiroki , Yoshida Takahito , Mizoue Nozomi , Yoshimura Hiroki , Hayashi Yuka , Shimamura Yasuteru 
Published: August 2024

Abstract
This study aimed to investigate the advantages, disadvantages, working methods, and support needs of physicians practicing teleradiology from home in Japan, as well as to explore challenges related to the COVID-19 pandemic. We conducted semi-structured interviews with 15 physicians (12 radiologists and 3 neurosurgeons) engaged in teleradiology services. Participants were recruited through purposive sampling to ensure diversity in age, gender, and experience. Data were analyzed using inductive thematic analysis following Braun and Clarke’s six-step approach. Five main themes were generated: (1) the ability to work from home according to one’s lifestyle, allowing for better work-life balance; (2) reduced quality and efficiency of reading work, due to limited patient information and lack of immediate consultation; (3) self-management and reliance on available resources, including literature searches and networking with colleagues; (4) need for comfortable infrastructure facilities, such as high-quality monitors and stable internet connections; and (5) provision of resources to resolve questions and concerns, including platforms for peer discussions. Interestingly, no specific themes related to the COVID-19 pandemic were identified, suggesting that the challenges of teleradiology were not uniquely affected by the pandemic. While home-based teleradiology offers lifestyle flexibility, it presents challenges in maintaining work quality and efficiency. Physicians employ self-management strategies and rely on available resources to mitigate these challenges. The findings highlight the need for improved infrastructure and support systems to enhance the practice of home-based teleradiology in Japan. This study contributes to the growing body of literature on remote healthcare delivery and may inform policy decisions and best practices in diagnostic radiology both in Japan and internationally.
Multiple Sliding Modes Enlarge Basins of Attraction in Switched Control Systems
Authors: Erazo Ordonez Christian , Díaz Nelson L. , Jutinico Andres 
Published: August 2024

AbstractThis paper investigates the role of hidden dynamics in influencing the stability of sliding solutions within control-switched systems. By employing cell-mapping methods, we provide numerical evidence that incorporating hidden dynamics on the switching manifold can extend the sliding dynamics, resulting in a significant expansion of the system’s region of attraction. As representative examples, we considered control systems with stable and unstable dynamics converging around multiple equilibrium points.
Implications of public policies performance on social inequality worldwide
Authors: Qandeel Mahmoud Salameh 
Published: August 2024

AbstractThis study probes the linkage between public policy (represented by GDP growth, inflation, CO2 emissions, and unemployment factors) and social inequality indicators, paying attention to economic, environmental, and social elements. The study questions the impact of these policies on overall social inequality as one measure and its separate dimensions, which are gender, income, education, and life expectancy, whereas data was gathered between 2010 and 2021 from the World Bank and the United Nations Development Programme (UNDP) for 139 countries. The linear regression revealed a significant relationship that explained 51% of the variance in overall social inequality, except for unemployment. Regarding separate dimensions of social inequality, the findings point out that GDP growth and inflation both affect life and gender inequality, whereas unemployment only affects income inequality; on the other hand, the CO2 emissions factor has an inverse effect on all dimensions of inequality (income, life expectancy, education, and gender inequalities). Considering the implications, increased CO2 emissions would reduce income inequality by boosting job creation, but they also pose environmental and health hazards, necessitating sustainable development strategies. Rising unemployment exacerbates income distribution, demonstrating the need for policies that enhance job stability and reduce inequality. Additionally, it necessitates investing in healthcare and education, eradicating gender inequality, and implementing sustainable strategies to foster economic growth while considering the consequences of inflation on life and gender justice. Thus, realizing these principles would build a sustainable and equitable society that balances economic enhancement with environmental protection and achieves equal opportunity.
A compact combination of second-kind Chebyshev polynomials for Robin boundary value problems and Bratu-type equations
Authors: Sayed S. M. , Mohamed A. S. , Abo-Eldahab E. M. , Youssri Y. H. 
Published: August 2024

AbstractThis paper presents a new algorithm for resolving linear and non-linear second-order Robin boundary value problems (BVPS) and the Bratu-type equations in one and two dimensions using spectral approaches. Basis functions according to second-kind shifted and modified shifted Chebyshev polynomials that comply with the Robin conditions are created. It has produced operational matrices for its derivatives. The provided solutions are the result of applying the collocation and tau approaches. These methods convert the problem dictated by its boundary conditions into a system of linear or non-linear algebraic equations that may be solved using any suitable numerical solver. Convergence analysis has been provided and it accords with the numerical results. Six numerical problems are provided to investigate and demonstrate the practical utility of the suggested method. The current results show that our method outperforms the previous methods in terms of accuracy which are presented in tables and figures.
The impact of buy-online-pickup-in-store shopping on customer engagement: framework and propositions
Authors: Li You , Liang Zhehao 
Published: August 2024

AbstractThis research aims to develop a new conceptual framework that investigates the effect of buy-online-pickup-in-store (BOPS) shopping on customer engagement and related outcomes from the touchpoint perspective. Based on the customer engagement theory and touchpoint literature, we define the concept of contact interactivity to explore the multiple touchpoints in the BOPS shopping experience and develop a conceptual framework and an associated set of propositions related to contact interactivity. To better understand contact interactivity, we propose the three dimensions of the customer–product interaction, customer–employee interaction, and customer–customer interaction, and further investigate the advantages of BOPS by comparing it with online shopping. This study has research implications for the BOPS literature by identifying specific touchpoints in multiple phases of the BOPS shopping journey and explaining the effect of BOPS shopping on customer engagement. We conclude by discussing important theoretical and practical implications that arises from our analyses.
Different Methods for Measurements and Estimation of Pulse Wave Velocity are not Interchangeable
Authors: Prelević Vladimir , Jelaković Ana , Gašparović Kristina , Bažadona Danira , Josipović Josipa , Dubravčić-Došen Mia , Radunović Danilo , Domislović Marija , Jelaković Bojan 
Published: August 2024

Abstract

Background
Carotid-femoral pulse wave velocity (c–f PWV) is a gold standard for the arterial stiffness measurement and important biomarker for the assessment of the cardiovascular (CV) risk. Recent studies have focused on 24-h measurements of arterial stiffness and estimated PWV (ePWV). The aim of this study is to analyze agreement of office c–f PWV measurements (SphygmoCor) with 24-h oscillometric measurements (Mobil-O-Graph and Arteriograph), and with ePWV.

Results
This study included 154 patients with primary hypertension (average age 38.75 ± 12.65). Arterial stiffness has been measured in the office with SphygmoCor and 24 h with two oscillometric methods (Mobil-O-Graph and Arteriograph). ePWV was calculated using validated equation. PWV values obtained in office (SphygmoCor) showed higher average values compared to both 24-h oscillometric measurements of PWV and ePWV. The mean values of 24-h PWV measured by Arteriograph were higher compared to values obtained with Mobil-O-Graph. The measurement of PWV over 24 h using the Arteriograph is the most accurate among the methods that were compared with the office PWV measurements (accuracy of 0.989). However, the most precise method was the Mobil-O-Graph (0.631), and the highest degree of agreement also was shown with the Mobil-O-Graph (concordance coefficient correlation (CCC) = 0.447). The smallest deviation (TDI) and the highest probability of overlapping (CP) were observed with ePWV (TDI = 45.524, CP = 0.322, respectively).

Conclusion
In our group of young treated mild hypertensive patients with low CV risk, we found weak agreements between cfPWV and 24-h PWV. These methods are not interchangeable.
Disjointed Polarization in Chile’s Enduring Crisis of Representation
Authors: Luna Juan Pablo 
Published: August 2024

AbstractThis analytical essay proposes the notion of disjointed polarization to characterize the nature of polarization in contemporary Chile. In disjointed polarization, elite-level polarization does not lead to a successful electoral realignment. Disjointed polarization is thus consistent with a long-lasting crisis of representation in which a serial disconnect between politicians (pursuing different polarizing strategies) and a sizable fraction of the electorate persists, as voters remain alienated from old and emerging political elites. Because the structural changes that make disjointed polarization persist longer than expected in Chile today are widespread across Latin America, the essay speculates on the possibility that enduring disjointed polarization applies to other cases where neither a “populist realignment” nor “generative polarization” took place. Instead, disjointed polarization might reflect the onset of a new (non-partisan representation) normal.
Scale‐Dependent Processes and Runout in Bidisperse Granular Flows: Insights From Laboratory Experiments and Implications for Rock/Debris Avalanches
Authors: Makris S. , Manzella I. , Sgarabotto A. 
Published: August 2024

AbstractThe bidispersity observed in the particle‐size distribution of rock avalanches and volcanic debris avalanches (rock/debris avalanches) has been proposed as a factor contributing to their long runout. This has been supported by small‐scale analog experimental studies, which observe that a small proportion of fine particles mixed with coarser particles enhances granular avalanche runout. However, the mechanisms enabling this phenomenon and their resemblance to rock/debris avalanches have not been directly evaluated. Here, binary mixture granular avalanche experiments are employed to constrain the processes and conditions under which bidispersity enhances the runout of granular avalanches in experiments. Structure‐from‐motion photogrammetry is used to measure center of mass displacement and assess energy dissipation. Subsequently, this study evaluates the dynamic scaling and flow regimes in the lab and field to assess whether the runout‐enhancing mechanism is applicable to rock/debris avalanches. In small‐scale experiments, the granular mass propagates under a collisional regime, enabling kinetic sieving and size segregation. Fine particles migrate to the base where they reduce frictional areas between coarse particles and the substrate and encourage rolling. The reduced energy dissipation increases the kinetic energy conversion and avalanche mobility. However, rock/debris avalanches are unlikely to acquire a purely collisional regime; instead, they propagate under a frictional regime. The size segregation which is essential for the process observed at the lab‐scale is prohibited by the frictional regime, as evident by the sedimentology of rock/debris avalanche deposits. The proposal of bidispersity as a runout‐enhancing mechanism overlooks that scale‐dependent behaviors of natural events are often omitted in small‐scale experiments.