bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anticorrosive barrier coatings modified by core-shell rubber particles: effects on the property transients and premature crack initiation susceptibility of particle type and concentration
Authors: Li Qiong , Kiil Søren 
Published: February 2024

AbstractProtective epoxy coatings, as a result of their inherent brittleness, show insufficient resistance towards initiation and propagation of cracks, which can occur as early as during the curing process. To improve premature crack initiation resistance, it is essential to understand the underlying mechanisms. In this work, a solvent-based novolac epoxy, cured with a cycloaliphatic amine, was reinforced with either an epoxypropoxypropyl-terminated polydimethylsiloxane (PDMS), nanoparticles of strontium titanate (SrTiO3), or core-shell rubber (CSR) nanoparticles. The effects on coating property transients, curing-induced internal stress, and premature crack initiation susceptibility of the modifier types and CSR (MX 217 and MX 267) concentrations were investigated. In addition, using a digital microscope, the defect and crack morphology in coatings applied to rigid, flat substrates and inner 90-degree angles were characterized. Finally, to evaluate the anticorrosive barrier performance of the reinforced coatings, an electrochemical impedance spectroscopy analysis was employed. Despite a slightly reduced crack initiation susceptibility, the flexible PDMS chains, due to phase separation, resulted in a deteriorated barrier performance. The inclusion of SrTiO3 nanoparticles also led to a reduced anticorrosion performance, relative to a neat epoxy coating, with a slightly lower crack initiation susceptibility and a minor increase (around 0.2 MPa) in the average internal stress. For 5 wt% MX 217 and MX 267 CSR toughened coatings, the maximum internal stress and crack initiation susceptibility in the series, as well as an associated reduced corrosion resistance, were seen. In spite of a reduction in the elastic modulus, an improved barrier performance and a reduced internal stress and crack initiation susceptibility were observed for 25 wt% MX 217 and 37 wt% MX 267 CSR toughened coatings. To improve barrier properties and avoid premature crack initiation of epoxy coatings, guidelines on modifier selection are provided.
The Impact of the High-Fructose Corn Syrup on Cardiac Damage via SIRT1/PGC1-α Pathway: Potential Ameliorative Effect of Selenium
Authors: İlhan İlter , Ascı Halil , Buyukbayram Halil İbrahim , Imeci Orhan Berk , Sevuk Mehmet Abdulkadir , Erol Zeki , Aksoy Fatih , Milletsever Adem 
Published: February 2024

AbstractHigh-fructose corn syrup (HFCS) has been a subject of intense debate due to its association with cardiovascular risks. This study investigates the potential protective effects of selenium (Se) supplementation against cardiac damage induced by HFCS. Thirty-two male Wistar albino rats were divided into four equal groups: control, CS (20%-HFCS), CS with Se (20%-HFCS, 0.3 mg/kg-Se), and Se (0.3 mg/kg-Se) only. After a 6-week period, heart and aorta tissues were collected for histopathological, immunohistochemical, biochemical, and genetic analyses. HFCS consumption led to severe cardiac pathologies, increased oxidative stress, and altered gene expressions associated with inflammation, apoptosis, and antioxidant defenses. In the CS group, pronounced oxidative stress within the cardiac tissue was concomitant with elevated Bcl-2-associated X protein (Bax) expression and diminished expressions of B-cell-lymphoma-2 (Bcl-2), nuclear factor erythroid 2-related factor 2 (Nrf2), peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1-α), and silenced information regulator 1 (SIRT1). Se supplementation mitigated these effects, showing protective properties. Immunohistochemical analysis supported these findings, demonstrating decreased expressions of caspase-3, tumor necrosis factor-alpha (TNF-α), IL-1β, and vascular endothelial growth factor (VEGF) in the CS + Se group compared to the CS group. The study suggests that Se supplementation exerts anti-inflammatory, antioxidant, and antiapoptotic effects, potentially attenuating HFCS-induced cardiovascular toxicity. These findings highlight the importance of dietary considerations and selenium supplementation in mitigating cardiovascular risks associated with HFCS consumption.
Neural Responses in Addictive Eating: a Systematic Review
Authors: Pursey Kirrilly M. , Yokum Sonja , Brain Katherine , Burrows Tracy 
Published: February 2024

Abstract
Purpose of Review
It has been suggested that similar brain regions are activated to ultra-processed food as in substance addiction, giving rise to the concept of “food addiction”. However, few neuroimaging studies have used specific assessment tools for food addiction, with obesity often used as a proxy, leading to considerable variability in neural activation patterns associated with food addiction. This systematic review aimed to synthesise published studies using task-related and resting-state fMRI to assess neural responses associated with food addiction, using a validated assessment tool, the Yale Food Addiction Scale (YFAS). A systematic review was conducted from 2008 to July 2022 according to the PRISMA guidelines. Studies were included if they reported YFAS food addiction outcomes in combination with task-related or resting-state fMRI outcomes. Two reviewers independently appraised studies and data were synthesised descriptively.

Recent Findings
Seven task-related and four resting-state fMRI studies were included, involving 675 predominantly female participants. Brain areas involved in reward, craving, and appetitive responses were associated with YFAS-assessed food addiction in response to high-calorie processed foods in task-related fMRI studies, as well as impaired inhibition in non-food-related tasks. In the resting-state studies, altered connectivity in reward-related regions and cognitive control were commonly reported. However, activation across included studies was not consistent, with some studies reporting no relationship between food addiction scores and neural activation.

Summary
There was a lack of consistency in activation across studies which may be due to the heterogeneity of study designs. It is difficult to ascertain if there are indeed neural activation patterns that are unique to food addiction and what components of food may have addictive potential. Future studies are required with replicable study designs.
Role of temperature in tribolayers in fretting wear of γ-TiAl alloy
Authors: Yang Yulei , Shang Hongfei , Pei Huiping , Xu Jimin , Liang Yi , Pan Minghui 
Published: February 2024

AbstractThe formation of tribolayers may play significant influences on fretting wear. At elevated temperature, the adhesion among wear debris and the increased diffusion rate facilitate the formation of tribolayers. However, the intensification of oxidation at elevated temperature and the low diffusion rate in oxides may play an adverse role. The present study aims to investigate the role of temperature in tribolayers in fretting wear using a γ-TiAl alloy. Scanning electron microscope, energy dispersive spectrometer, Raman spectrometer, transmission electron microscope and nanoindentation were utilized to investigate the wear debris, tribolayers, and wear scars. The fretting tests showed that, compared with that at room temperature (RT) and 350 °C, significant reduction in wear rate and decrease in the fluctuation of friction coefficient occurred at 550 and 750 °C. It was further revealed that when temperature raised from room temperature (RT) to 750 °C, the oxidation of the wear debris increased slightly and the diffusion coefficients increased prominently, which facilities the formation of well tribo-sintered tribolayers. The well tribo-sintered tribolayers presented homogenous structure, nanocrystalline grains with excellent mechanical properties, and resulted in the improvement in the fretting wear resistance of the γ-TiAl alloy at 550 and 750 °C.
Boundary slip and lubrication mechanisms of organic friction modifiers with effect of surface moisture
Authors: Yi Xiaobin , Xu Haiyu , Jin Ge , Lu Yang , Chen Biqiang , Xu Shaofeng , Shi Junqin , Fan Xiaoli 
Published: February 2024

AbstractSurface moisture or humidity impacting the lubrication property is a ubiquitous phenomenon in tribological systems, which is demonstrated by a combination of molecular dynamics (MD) simulation and experiment for the organic friction modifier (OFM)-containing lubricant. The stearic acid and poly-α-olefin 4cSt (PAO4) were chosen as the OFM and base oil molecules, respectively. The physical adsorption indicates that on the moist surface water molecules are preferentially adsorbed on friction surface, and even make OFM adsorption film thoroughly leave surface and mix with base oil. In shear process, the adsorption of water film and desorption OFM film are further enhanced, particularly under higher shear rate. The simulated friction coefficient (that is proportional to shear rate) increases firstly and then decreases with thickening water film, in good agreement with experiments, while the slip length shows a contrary change. The wear increases with humidity due to tribochemistry revealing the continuous formation and removal of Si-O-Si network. The tribological discrepancy of OFM-containing lubricant in dry and humid conditions is attributed to the slip plane’s transformation from the interface between OFM adsorption film and lubricant bulk to the interface between adsorbed water films. This work provides a new thought to understand the boundary lubrication and failure of lubricant in humid environments, likely water is not always harmful in oil lubrication systems.
Experimental study on boundary lubricity of superficial area of articular cartilage and synovial fluid
Authors: Li Wenxiao , Morita Takehiro , Sawae Yoshinori 
Published: February 2024

AbstractThe boundary lubrication mechanism at the articulating surface of natural synovial joints has been the subject of much discussion in tribology. In this study, to elucidate the lubricating function of the superficial area of articular cartilage and synovial fluid (SF), cartilage specimens were processed with four different treatments: gentle and severe washing with detergent, incubation in NaCl solution, and trypsin digestion to selectively remove certain constituents from the cartilage surface. Subsequently, the frictional characteristics were examined in phosphate-buffered saline (PBS) and SF against glass. Angularly reciprocating sliding tests with a spherical glass probe and square articular cartilage specimens were performed at low contact loads in the mN range to extract the frictional behavior in the superficial area of the cartilage specimens. Meanwhile, the cartilage surface was observed to confirm the effects of treatments on the morphology of the cartilage surface using a fluorescence microscope and water-immersion methods. The coefficient of friction (COF) of the prepared cartilage specimens was varied from 0.05 to over 0.3 in PBS. However, a certain group of cartilage specimens exhibited a low COF of less than 0.1 with limited variation. For the low COF group of specimens, all four treatments increased the COF in PBS to different extents, and fluorescence microscopy revealed that the integrity of the cartilage surface was deteriorated by treatments. This means that the intact cartilage surface had lubricating constituents to maintain low friction, and the removal of such constituents resulted in the loss of the intrinsic boundary lubricity of the cartilage surface. The variation in the COF of the cartilage specimens was suppressed in SF because it had a clear boundary lubrication effect on the cartilage surface. The lubricating effect of SF could be confirmed even after degenerative treatment.
Analysis of the discrete contact characteristics based on the Greenwood-Williamson model and the localization principle
Authors: Yakovenko Anastasiya A. , Goryacheva Irina G. 
Published: February 2024

AbstractThe contact of a rigid body with nominally flat rough surface and an elastic half-space is considered. To solve the contact problem, the Greenwood-Williamson statistical model and the localization principle are used. The developed contact model allows us to investigate the surface approach and the real contact area with taking into account the asperities interaction. It is shown that the mutual influence of asperities changes not only contact characteristics at the macroscale, but also the contact pressure distribution at the microscale. As follows from the results, the inclusion in the contact model of the effect of the mutual influence of asperities is especially significant for studying the real contact area, as well as the contact characteristics at high applied loads. The results calculated according to the proposed approach are in a good agreement with the experimentally observed effects, i.e., the real contact area saturation and the additional compliance exhaustion.
CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units
Authors: Imrana Yakubu , Xiang Yanping , Ali Liaqat , Noor Adeeb , Sarpong Kwabena , Abdullah Muhammed Amin 
Published: February 2024

AbstractIdentifying and preventing malicious network behavior is a challenge for establishing a secure network communication environment or system. Malicious activities in a network system can seriously threaten users’ privacy and potentially jeopardize the entire network infrastructure and functions. Furthermore, cyber-attacks have grown in complexity and number due to the ever-evolving digital landscape of computer and network devices in recent years. Analyzing network traffic using network intrusion detection systems (NIDSs) has become an integral security measure in modern networks to identify malicious and suspicious activities. However, most intrusion detection datasets contain imbalance classes, making it difficult for most existing classifiers to achieve good performance. In this paper, we propose a double-layer feature extraction and feature fusion technique (CNN-GRU-FF), which uses a modified focal loss function instead of the traditional cross-entropy to handle the class imbalance problem in the IDS datasets. We use the NSL-KDD and UNSW-NB15 datasets to evaluate the effectiveness of the proposed model. From the research findings, it is evident our CNN-GRU-FF method obtains a detection rate of 98.22% and 99.68% using the UNSW-NB15 and NSL-KDD datasets, respectively while maintaining low false alarm rates on both datasets. We compared the proposed model’s performance with seven baseline algorithms and other published methods in literature. It is evident from the performance results that our proposed method outperforms the state-of-the-art network intrusion detection methods.
The epidemiology of Stenotrophomonas maltophilia and Achromobacter xylosoxidans infections
Authors: Zilberman-Itskovich Shani , Cohen Edward , Ploshansky Leonid-Arie , Yusupov Alexander , Bouganim Ruth , Jaffe Katie H. , Marchaim Dror 
Published: February 2024

Abstract
Stenotrophomonas maltophilia and Achromobacter xylosoxidans are emerging nosocomial, non-glucose fermenting, Gram-negative pathogens. In this nested case-control trial, independent predictors for S. maltophilia infections were hemodialysis and recent antibiotic usage (overall), while recent usage of fluoroquinolones, was independently associated with A. xylosoxidans infections. Infections were independently associated with multiple worse outcomes.
Damage localisation using disparate damage states via domain adaptation
Authors: Wickramarachchi Chandula T. , Gardner Paul , Poole Jack , Hübler Clemens , Jonscher Clemens , Rolfes Raimund 
Published: February 2024

Abstract
A significant challenge of structural health monitoring (SHM) is the lack of labeled data collected from damage states. Consequently, the collected data can be incomplete, making it difficult to undertake machine learning tasks, to detect or predict the full range of damage states a structure may experience. Transfer learning is a helpful solution, where data from (source) structures containing damage labels can be used to transfer knowledge to (target) structures, for which damage labels do not exist. Machine learning models are then developed that generalize to the target structure. In practical applications, it is unlikely that the source and the target structures contain the same damage states or experience the same environmental and operational conditions, which can significantly impact the collected data. This is the first study to explore the possibility of transfer learning for damage localisation in SHM when the damage states and the environmental variations in the source and target datasets are disparate. Specifically, using several domain adaptation methods, this article localizes severe damage states at a target structure, using labeled information from minor damage states at a source structure. By minimizing the distance between the marginal and conditional distributions between the source and the target structures, this article successfully localizes damage states of disparate severities, under varying environmental and operational conditions. The effect of partial and universal domain adaptation—where the number of damage states in the source and target datasets differ—is also explored in order to mimic realistic industrial applications of these methods.
Fen Plantation: Commons, Calvinism, and the Boundaries of Belonging in Early Modern England
Authors: Robson Elly Dezateux 
Published: February 2024

AbstractIn the first half of the seventeenth century, several foreign plantations were established on wetlands drained during a wave of ambitious state-led projects across eastern England. The lines of solidarity and separation forged by this little-known episode in the history of migration pose important questions about how emergent notions of nationhood intersected with local and transnational, religious and economic communities. This article investigates the causes and consequences of the settlement of Calvinist refugees on drained commons in Hatfield Level. It argues that fen plantation expands understanding of the relationship between English agricultural improvement and imperial expansion in the British Atlantic, as migrant communities acted in the service of empires and states while forging transnational Protestant networks. As Calvinists and cultivators, however, the settlers were met with hostility in England. While the crown encouraged foreign plantation as a source of national prosperity, Laudian church authorities identified it as a threat to religious conformity, the state, and society, muddying depictions of English governors as guarantors of refugee rights. Local efforts to violently expel settlers from Hatfield Level, meanwhile, were rooted in fen commoners’ defense of customary rights, as parallel communities sought to enact rival environmental and economic models. The settler community interpreted these experiences through the lens of transnational Protestant adversity, entangling their quest for religious freedoms with their remit as fen improvers. Moving beyond dichotomous arguments about xenophobia, this article traces the transnational imaginaries, national visions, and emplaced processes through which collective identities and their sharp edges were constituted in early modern England.
Indigenous Knowledge and Ontological Difference? Ontological Pluralism, Secular Public Reason, and Knowledge between Indigenous Amazonia and the West
Authors: Tym Christian 
Published: February 2024

AbstractReal knowledge emerges from “impossible” worldviews. Or, put differently, it is possible to accept knowledge that is produced by people whose ontological presuppositions–their baseline assumptions about the nature of reality–one entirely rejects. How can this fact be accommodated, not by advancing a wishful post-dualism, dangerous post-secularism, or implausible ontological relativism, but by working within the tradition of secular political philosophy so that indigenous knowledge, too, can be a basis for public policy and collective action in secular societies? Via a reframing Amazonian multinaturalist perspectivism–which has so inspired post-dualist civilizational critiques–as a social theory of health and illness that informs contemporary Western epidemiology’s struggles to theorize the distribution of health and illness in mass society, this article advances a general approach to recognizing knowledge that has been developed on the other side of boundaries of ontological difference. It argues that the accuracy or efficacy of any particular indigenous knowledge-practice implies the generative potentialas theoryof the ontological presuppositions that facilitated the knowledge-practice’s evolution. Combining the ontological turn’s interest in the innovativeness of indigenous concepts with a proposal for superseding its incommensurable worlds and abandonment of the aspiration to more-than-local knowledge, the article shows that indigenous ideas and their underlying ontologies are more than generic alternatives to inspire Western civilizational renewal, and opens a path to their legitimization as actionable knowledge in the terms of secular public reason.
China’s prevention and control experience of echinococcosis: A 19-year retrospective
Authors: Gu H. , Hu Y. , Guo S. , Jin Y. , Chen W. , Huang C. , Hu Z. , Li F. , Liu J. 
Published: February 2024

Abstract
Echinococcosis poses a significant threat to public health. The Chinese government has implemented prevention and control measures to mitigate the impact of the disease. By analyzing data from the Chinese Center for Disease Control and Prevention and the State Council of the People’s Republic of China, we found that implementation of these measures has reduced the infection rate by nearly 50% between 2004 to 2022 (from 0.3975 to 0.1944 per 100,000 person-years). Nonetheless, some regions still bear a significant disease burden, and lack of detailed information limites further evaluation of the effects on both alveolar and cystic echinococcosis. Our analysis supports the continuing implementation of these measures and suggests that enhanced wildlife management, case-based strategies, and surveillance systems will facilitate disease control.
Examining the glottal stop as a mark of gender-inclusive language in German
Authors: Körner Anita , Glim Sarah , Rummer Ralf 
Published: February 2024

AbstractGrammatical gender form influences readers’ mental gender representations. Previous research demonstrates that the generic masculine form leads to male-biased representations, while some alternative forms lead to female-biased representations. The present research examines the recently introduced glottal stop form in spoken language in German, where a glottal stop (similar to a short pause), meant to represent all gender identities, is inserted before the gender-specific ending. In two experiments (total N = 1188), participants listened to sentences in the glottal stop, the generic masculine, or the generic feminine form and classified whether a second sentence about women or men was a sensible continuation. The generic feminine and the glottal stop led to female biases (fewer errors in sentences about women vs. men) and the generic masculine led to a male bias. The biases were smaller for the glottal stop and the generic masculine than for the generic feminine, indicating that the former two are more readily understood as representing both women and men.