bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research and prediction of creep behavior of triaxial warp‐knitted composites by time–temperature equivalent principle
Authors: You Geyi , Gao Xiaoping , Du Peijian , Wu Wei , Jiang Xin , Zhao Ke 
Published: November 2023

AbstractIn this paper, the creep behavior of triaxial warp‐knitted composites (TWKC) was investigated. The TWKC specimens were prepared by applying vacuum‐assisted resin infusion (VARI), and the three‐point bending creep experiments at different temperatures were carried out. The shift factor was calculated based on the activation energy method, and the creep curve at 25°C within 105s was obtained according to the time–temperature equivalence principle, the time–temperature equivalent model was established, and the model was verified by measuring the long‐term creep data with self‐made instrument. There is approximately agreement between the prediction result and experimental one, which is less than 10% within 105s. The results show that the model could be used to predict the creep behavior of TWKC. The viscoelastic properties of the specimen were analyzed based on dynamic mechanical analysis (DMA), and the creep behavior of TWKC was further analyzed by acoustic emission and digital image correlation damage analysis.Highlights
The viscoelasticity of TWKC was analyzed based on dynamic mechanical analysis (DMA), and the activation energy was calculated.
Based on the activation energy method, the time–temperature equivalent model was established to predict the creep behavior of TWKC.
The creep behavior of TWKC were further analyzed by acoustic emission (AE) and digital image correlation (DIC) damage analysis.
Failure behavior and crashworthiness characteristic of repaired composites‐metal hybrid tubes by acoustic emission
Authors: Su Yi‐fan , Zhang Su‐jia , Su Ming‐ming , Ma Lian‐hua , Zhou Wei 
Published: November 2023

AbstractIn this study, the transverse indentation test was applied to simulate the damage caused by impact to the carbon fiber‐reinforced plastics (CFRP)/Al hybrid tube, and composites patch repair technology was used to repair the hybrid tube with different damage degrees. The effects of width and ply‐number of the patch on failure behavior and crashworthiness under axial load were investigated. It was concluded that the technology can effectively reduce stress concentration around the indentation and then improve compressive strength. Increasing the ply‐number of the patch can mitigate the failure mode of med‐length collapse of the hybrid tube and can effectively improve the crashworthiness indicators. The optimal repair strategy increased energy absorption by 54.02% and mean crushing force by 53.66%. However, the improvement of failure behavior by the ply‐number is limited by patch width. Acoustic emission and infrared thermography technologies were used to further analyze the damage characteristics and damage evolution of the hybrid tubes in pre‐crushing stage. It was found that the crushing form of the middle collapse tended to produce a more intense acoustic emission response and higher temperature change than that of the end crushing. In engineering practice, it provides a valuable reference for the reasonable repair of composite tubular structures and their hybrid structures.Highlights
Composite repair technology is used for the repair of CFRP/Al hybrid tubes.
The effects of ply‐number and width of patch on repair quality are studied.
The technology can effectively improve residual crashworthiness of structure.
The improvement of failure behavior by ply‐number is limited by patch width.
The damage behavior of various crushing forms can be revealed by AE and IR.
A mini‐review of polymeric porous membranes with vertically penetrative pores
Authors: Yang Yong‐Biao , Chai Wenqiang , Zhang Liang , Wang Jiayao , You Jichun 
Published: November 2023

AbstractMembrane separation technology plays a pivotal role in modern industry and scientific research. The key to developing and improving membrane separation processes lies in designing and fabricating customized porous membranes with specific physical parameters, including pore diameter, porosity, pore size distribution, pore length (membrane thickness), pore geometry, and pore connectivity. Polymeric porous membranes with vertically‐penetrative‐pores (PPMVs) represent a distinct category among the available membranes due to their unique characteristics such as short transport path, small trans‐membrane resistance, and simple pore geometry, as compared to other porous membranes with sponge‐like channels. In practical applications, PPMVs offer several advantages, including achieving higher flux rates, facilitating easier unidirectional transport, and enabling harmless biological extraction. Moreover, PPMVs can serve as ideal model systems for theoretical investigations on the fundamental mechanisms of separation and transport in academic research. With substantial advancements in fabrication technologies and application fields of PPMVs in recent years, it warrants a comprehensive perspective. In this mini‐review, we provide an overview of widely used fabrication methods for PPMVs, discuss their primary applications, and address the existing challenges and opportunities.
Tetrandrine promotes the survival of the random skin flap via the PI3K/AKT signaling pathway
Authors: Wang Kaitao , Deng Jiapeng , Yang Jialong , Wang An , Ye Minle , Chen Qingyu , Chen Guodong , Lin Dingsheng 
Published: November 2023

AbstractFlaps are mainly used for wound repair. However, postoperative ischemic necrosis of the distal flap is a major problem, which needs to be addressed urgently. We evaluated whether tetrandrine, a compound found in traditional Chinese medicine, can prolong the survival rate of random skin flaps. Thirty‐six rats were randomly divided into control, low‐dose tetrandrine (25 mg/kg/day), and high‐dose tetrandrine (60 mg/kg/day) groups. On postoperative Day 7, the flap survival and average survival area were determined. After the rats were sacrificed, the levels of angiogenesis, apoptosis, and inflammation in the flap tissue were detected with immunology and molecular biology analyses. Tetrandrine increased vascular endothelial growth factor and Bcl‐2 expression, in turn promoting angiogenesis and anti‐apoptotic processes, respectively. Additionally, tetrandrine decreased the expression of Bax, which is associated with the induction of apoptosis, and also decreased inflammation in the flap tissue. Tetrandrine improved the survival rate of random flaps by promoting angiogenesis, inhibiting apoptosis, and reducing inflammation in the flap tissue through the modulation of the PI3K/AKT signaling pathway.
Note on Schur stability of three‐dimensional interval matrices
Authors: Zaitsev Vasilii 
Published: November 2023

SummaryWell‐known results on robust Hurwitz and Schur stability of interval polynomials and interval matrices are discussed. We fill in some gap in this theory. It is proved that, for , Schur stability of vertex matrices is not sufficient for robust Schur stability of the interval matrix. A certain general method for constructing examples of this kind is presented.
Distributed adaptive event‐triggered protocols for directed multi‐agent networks with a dynamic leader of nonzero input
Authors: Cheng Bin , He Bin , Li Gang , Zhu Zhongpan 
Published: November 2023

AbstractThis article addresses the distributed tracking control problem of multi‐agent systems with a dynamic leader of nonzero input and under a general graph having a directed spanning tree. According to general engineering request, the communication frequency and the update frequency are often restricted, and the eigenvalue information associated with the topology matrix is probably hard to obtain. Aiming at such a kind of typical control problems, this article proposes an adaptive state feedback event‐triggered protocol, including an adaptive controller based on zero‐order hold for each follower to ensure the achievement of the tracking task and a dynamic event‐triggering condition for each agent to determine when to carry out communications and execute controllers. The proposed protocol guarantees that the tracking error asymptotically converges to zero and there exists no undesirable Zeno behavior, without requiring any eigenvalue information of Laplacian matrix. For the case where local state information is inaccessible, this article designs a state observer based on the local output and further extends to design an adaptive output feedback event‐based protocol. In addition to giving strict theoretical proof of the obtain results, this article also verifies the effectiveness of the designed protocols by giving two simulation examples. Compared with the existing related works studying distributed tracking control, it is the main contribution of the current paper that the presented protocols only require a mild connectivity condition on the network topology, and need low frequency control update and information interaction.
Moss crusts mitigate the negative impacts of shrub mortality on the nutrient multifunctionality of desert soils
Authors: Zhang Qing , Yin Benfeng , Zhang Shujun , Li Yonggang , Zang Yongxin , Rong Xiaoying , Zhou Xiaobing , Tao Ye , Zhang Yuanming 
Published: November 2023

AbstractThe distribution of biological soil crusts (BSCs) and shrubs in temperate deserts often forms a common landscape surface feature. As climate change continues, desert shrubs experience varying rates of mortality, which can have severe negative impacts on soil structure and function. However, it remains uncertain whether moss crusts, prevalent beneath shrub canopies, can mitigate the effects of shrub mortality on soil nutrient environments. Therefore, this study focuses on the Gurbantunggut Desert, a typical temperate desert in northern China, with a primary focus on the dominant shrubs, Ephedra przewalskii, and the advanced stage of moss crust development within BSCs. We collected soil samples from bare sand and moss crusts under living shrubs and dead shrubs and analyzed them for their carbon, nitrogen, phosphorus, and potassium contents. Additionally, we calculated soil nutrient multifunctionality, which measures a soil's ability to sustain multiple ecosystem services simultaneously, to provide a comprehensive assessment of the effects of shrub mortality on soil nutrient function. Our results indicate that shrub mortality led to reductions in soil moisture, pH, electrical conductivity, and levels of carbon, nitrogen, phosphorus, and potassium in exposed sand compared to the sand under living shrubs. However, the presence of moss crusts significantly alleviated the adverse effects of shrub mortality on soil carbon, nitrogen, phosphorus, and potassium levels. The nutrient multifunctionality index of the moss crust only decreased by 4%, while bare sand experienced a 67% reduction following shrub mortality. Standard error of the mean analysis results revealed that when shrubs and crusts coexisted, the impact of shrubs on soil nutrient multifunctionality was much stronger than that of the moss crust. Specifically, total nutrient content was the most influential factor driving changes in soil nutrient multifunctionality. In conclusion, in desert ecosystems with declining shrubs, moss crusts can mitigate the reduction in soil nutrient contents caused by shrub degradation, thereby maintaining soil stability and nutrient multifunctionality as a viable substitute.
Numerical analysis of slurry flow in pile‐end grouting of the drilling with prestressed concrete pipes
Authors: Wang Wenbo , Cui Jie , Shan Yi , Li Yadong , Hou Zhenkun 
Published: November 2023

AbstractUnderstanding the diffusion law of cement slurry is the key to analyzing and evaluating the reinforcement effect of grouting. This study aimed to reveal the flow grouting mechanism of slurry in the reserved space between piles and soil and the penetration diffusion rule of slurry in the soil around the piles. For this purpose, the grouting slurry was regarded as a Newtonian fluid. The Navier–Stokes equations of fluid mechanics and renormalization group k–ε model were used to study the flow diffusion of slurry in the reserved space around a pile for grouting the drilling with prestressed concrete pipes. The permeability of soil slurry was determined using Darcy's law, and the flow field of slurry during grouting was numerically simulated. The results showed that the flow velocity of slurry and the reinforcement effect of grouting decrease gradually as the flow path extends. The radial flow of slurry in the grouting pipe shows a clear trend of circumferential diffusion. The slurry thickness in the reserved space for grouting decreases with an increase in the distance from the grouting outlet. Its attenuation trend becomes more obvious with increasing grouting height. The grouting thickness directly reflects the filling effect of slurry and is an important index to evaluate the grouting effect of drilling with prestressed concrete pipes.
Molecular simulation approaches to study crystal nucleation from solutions: Theoretical considerations and computational challenges
Authors: Finney Aaron R. , Salvalaglio Matteo 
Published: November 2023

AbstractNucleation is the initial step in the formation of crystalline materials from solutions. Various factors, such as environmental conditions, composition, and external fields, can influence its outcomes and rates. Indeed, controlling this rate‐determining step toward phase separation is critical, as it can significantly impact the resulting material's structure and properties. Atomistic simulations can be exploited to gain insight into nucleation mechanisms—an aspect difficult to ascertain in experiments—and estimate nucleation rates. However, the microscopic nature of simulations can influence the phase behavior of nucleating solutions when compared to macroscale counterparts. An additional challenge arises from the inadequate timescales accessible to standard molecular simulations to simulate nucleation directly; this is due to the inherent rareness of nucleation events, which may be apparent in silico at even high supersaturations. In recent decades, molecular simulation methods have emerged to circumvent length‐ and timescale limitations. However, it is not always clear which simulation method is most suitable to study crystal nucleation from solution. This review surveys recent advances in this field, shedding light on typical nucleation mechanisms and the appropriateness of various simulation techniques for their study. Our goal is to provide a deeper understanding of the complexities associated with modeling crystal nucleation from solution and identify areas for further research. This review targets researchers across various scientific domains, including materials science, chemistry, physics and engineering, and aims to foster collaborative efforts to develop new strategies to understand and control nucleation.This article is categorized under:
Molecular and Statistical Mechanics > Molecular Dynamics and Monte‐Carlo Methods
Molecular and Statistical Mechanics > Free Energy Methods
Theoretical and Physical Chemistry > Statistical Mechanics
Spatial Link Prediction with Spatial and Semantic Embeddings
Authors: Mann Genivika , Dsouza Alishiba , Yu Ran , Demidova Elena 
Published: November 2023

AbstractSemantic geospatial applications, such as geographic question answering, have benefited from knowledge graphs incorporating information regarding geographic entities and their relations. However, one of the most critical limitations of geographic knowledge graphs is the lack of semantic relations between geographic entities. The most extensive knowledge graphs specifically tailored to geographic entities are extracted from unstructured sources, with these graphs often relying on datatype properties to describe the entities, resulting in a flat representation that lacks entity relationships. Therefore, predicting links between geographic entities is essential for advancing semantic geospatial applications. Existing neural link prediction methods for knowledge graphs typically rely on pre-existing entity relations, making them unsuitable for scenarios where such information is absent. In this paper, we tackle the challenge of predicting spatial links in sparsely interlinked knowledge graphs by introducing two novel approaches: supervised spatial link prediction (SSLP) and unsupervised inductive spatial link prediction (USLP). These approaches leverage the wealth of literal values in geographic knowledge graphs through spatial and semantic embeddings. To assess the effectiveness of our proposed methods, we conduct evaluations on the WorldKG geographic knowledge graph, which incorporates geospatial data extracted from OpenStreetMap. Our results demonstrate that the SSLP and USLP approaches substantially outperform state-of-the-art link prediction methods.
Comparison of Knowledge Graph Representations for Consumer Scenarios
Authors: Iglesias-Molina Ana , Ahrabian Kian , Ilievski Filip , Pujara Jay , Corcho Oscar 
Published: November 2023

AbstractKnowledge graphs have been widely adopted across organizations and research domains, fueling applications that span interactive browsing to large-scale analysis and data science. One design decision in knowledge graph deployment is choosing a representation that optimally supports the application’s consumers. Currently, however, there is no consensus on which representations best support each consumer scenario. In this work, we analyze the fitness of popular knowledge graph representations for three consumer scenarios: knowledge exploration, systematic querying, and graph completion. We compare the accessibility for knowledge exploration through a user study with dedicated browsing interfaces and query endpoints. We assess systematic querying with SPARQL in terms of time and query complexity on both synthetic and real-world datasets. We measure the impact of various representations on the popular graph completion task by training graph embedding models per representation. We experiment with four representations: Standard Reification, N-Ary Relationships, Wikidata qualifiers, and RDF-star. We find that Qualifiers and RDF-star are better suited to support use cases of knowledge exploration and systematic querying, while Standard Reification models perform most consistently for embedding model inference tasks but may become cumbersome for users. With this study, we aim to provide novel insights into the relevance of the representation choice and its impact on common knowledge graph consumption scenarios.
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
Authors: Färber Michael , Lamprecht David , Krause Johan , Aung Linn , Haase Peter 
Published: November 2023

AbstractWe presentSemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institutions, journals, and concepts. SemOpenAlex is licensed under CC0, providing free and open access to the data. We offer the data through multiple channels, including RDF dump files, a SPARQL endpoint, and as a data source in the Linked Open Data cloud, complete with resolvable URIs and links to other data sources. Moreover, we provide embeddings for knowledge graph entities using high-performance computing. SemOpenAlex enables a broad range of use-case scenarios, such as exploratory semantic search via our website, large-scale scientific impact quantification, and other forms of scholarly big data analytics within and across scientific disciplines. Additionally, it enables academic recommender systems, such as recommending collaborators, publications, and venues, including explainability capabilities. Finally, SemOpenAlex can serve for RDF query optimization benchmarks, creating scholarly knowledge-guided language models, and as a hub for semantic scientific publishing.Data and Services:https://semopenalex.orghttps://w3id.org/SemOpenAlexCode:https://github.com/metaphacts/semopenalex/Data License:Creative Commons Zero (CC0)Code License:MIT License
Electrocardiographic Characteristics in 438 Neonates with Atrial Septal Defects
Authors: Dehn Anna Maria , Pærregaard Maria Munk , Sellmer Anna , Dannesbo Sofie , Blixenkrone-Møller Elisabeth , Sillesen Anne-Sophie , Raja Anna Axelsson , Iversen Kasper Karmark , Bundgaard Henning , Christensen Alex Hørby , Hjortdal Vibeke 
Published: November 2023

AbstractArrhythmias and electrocardiographic (ECG) abnormalities are common among patients with atrial septal defects (ASDs). We studied a large cohort of neonates with ASDs to investigate whether ECG abnormalities are present at this early stage or develop later, secondary to hemodynamic changes. We analyzed the echocardiograms and ECGs from the Copenhagen Baby Heart Study, a population-based cohort study. We compared ECG characteristics of 438 neonates with secundum ASDs to 1314 matched controls. In subgroup analyses, we investigated whether electrocardiographic characteristics were associated with age at examination. Neonates with ASDs (median age, 11 days; males, 51%) had longer P-wave durations (58 vs. 56 ms, p < 0.001), PR intervals (100 vs. 96 ms, p < 0.001), and a more rightward-shifted QRS axis (116 vs. 114 degrees, p = 0.032) compared to controls (median age, 10 days; males, 51%). There were no differences between cases and controls in the P-wave area, amplitude, or axis. Subgroup analyses showed that the differences in P-wave duration and PR interval were present in neonates examined in the first week after birth. The difference in the QRS axis was not found in neonates examined this early but was found in neonates examined at age two to four weeks. In conclusion, ASDs are associated with ECG changes from the neonatal phase. The P-wave duration and PR interval are longer in neonates with ASDs when compared to controls as early as the first week after birth, indicating that these changes are not purely secondary, but that neonates with an ASD have altered cardiac electrical activity.ClinicalTrials.gov Identifier NCT02753348 (April 27, 2016)