bluuebunny/crossref_metadata_2025_split huggingface dataset:
Joint Bayesian Modeling of Velocity Break Points, Noise Characteristics, and Their Uncertainties in GNSS Time Series: Far‐Field Velocity Anomalies Concurrent With Magmatic Activity in Iceland
Authors: Yang Yilin , Sigmundsson Freysteinn , Geirsson Halldór 
Published: July 2023

AbstractEstimating the timing of velocity changes (break points) in Global Navigation Satellite System (GNSS) coordinate time series is required for understanding various Earth processes and how they may couple with each other. We jointly estimate break points, noise parameters and their uncertainties in GNSS time series using Bayesian interference. Synthetic data experiments demonstrate that time‐correlated noise can cause spurious estimates of break points for small velocity change and suggest the lower limits of velocity change for reliable estimates. A case study at the Krafla volcanic system shows increased rift‐perpendicular movementof 7.6–9.8 mm/yr, preceding by 23–77 days the 2014 Bárðarbunga rifting episode that occurred ∼120 km to the south (maximum likelihood estimates). These far‐field velocity anomalies occur in the same period as enhanced near‐field seismicity and deformation before the dike intrusion at Bárðarbunga, possibly indicating the coupling between the two volcanic systems through a deep partial melt zone.
Multidisciplinary Analysis of the Nippur Sulcus Region on Ganymede
Authors: Tosi Federico , Galluzzi Valentina , Lucchetti Alice , Orosei Roberto , Filacchione Gianrico , Zambon Francesca , Cremonese Gabriele , Palumbo Pasquale , Piccioni Giuseppe 
Published: July 2023

AbstractOn Jupiter's largest moon Ganymede, we focus on the southern region of Nippur Sulcus, including the Epigeus palimpsest crater. This region displays geologically recent terrains and has good coverage of optical and near infrared remote sensing data, primarily returned by the NASA Galileo mission. We first use high‐resolution optical imagery to carry out a detailed geological mapping. We combine hyperspectral data to infer the surface composition of this area. We then apply two theoretical models. The first is a self‐similar clustering that uses the mapping of the grooves present in this region to infer the thickness of the ice shell. A second model is used to estimate the radar clutter noise induced by the estimated local topography, which is key for constraining future radar measurements. Based on all findings, we provide a possible evolutionary history of the Nippur Sulcus and Epigeus areas. This exercise shows the potential of an interdisciplinary data analysis combining wide‐ranging scientific objectives such as geology, surface composition, and geophysics in view of the future close exploration that will be conducted on Ganymede by the JUICE spacecraft. Our work combines multiple analysis techniques that could be applied to other regions of interest and will prove crucial when JUICE data become available.
Marine records reveal multiple phases of Toba’s last volcanic activity
Authors: Caron B. , Del Manzo G. , Villemant B. , Bartolini A. , Moreno E. , Le Friant A. , Bassinot F. , Baudin F. , Alves A. 
Published: July 2023

AbstractThe Indonesian Young Toba Tuff (YTT), classically dated around 74 ka BP, is considered as a short-lived explosive cataclysmic super-eruption. The huge amounts of ash and SO2 emitted are likely to have triggered a volcanic winter which accelerated the transition to the last glaciation, and may have induced a human genetic bottleneck. However, the global climatic impact of the YTT or its duration are hotly debated. The present work offers a new interpretation of the Toba volcanic complex eruptive history. Analysing the BAR94-25 marine core proximal to the Toba volcanic center and combining it with high-resolution tephrostratigraphy and δ18O stratigraphy, we show that the Toba complex produced a volcanic succession that consists of at least 17 distinct layers of tephra and cryptotephra. Textural and geochemical analyses show that the tephra layers can be divided in 3 main successive volcanic activity phases (VAP1 to VAP3) over a period of ~ 50 kyr. The main volcanic activity phase, VAP2, including the YTT, is likely composed of 6 eruptive events in an interval whose total duration is ~ 10 ka. Thus, we suggest that the eruptive model of the Toba volcano must be revised as the duration of the Toba volcanic activity was much longer than suggested by previous studies. The implications of re-estimating the emission rate and the dispersion of ashes and SO2 include global environmental reconstitutions, climate change modelling and possibly human migration and evolution.
Autonomous Planning and Robust Control for Wheeled Mobile Robot With Slippage Disturbances Based on Differential Flat
Authors: Liu Yueyue , Bai Keqiang , Wang Haoyu , Fan Qigao 
Published: July 2023

AbstractThis paper proposes a wheeled mobile robot (WMR) robust control scheme. The feasible strategy is developed to achieve an efficient and robust autonomous mobile robot motion. To realize kinematic autonomous planning and control of the WMR, a novel controller is designed based on control Lyapunov function. This part can be divided into the following two aspects: 1) considering the nonholonomic constraints in the autonomous mobile robot trajectory tracking, a dynamic feedback‐linearization is adopted by utilizing differential flatness‐based integrated control framework to achieve full‐state controllability; 2) to compensate the structured uncertainties and slippage disturbances related to the robot kinematic model, a robust controller is designed based on control Lyapunov function with quadratic programming. Such a strategy can achieve autonomous motion even with unknown slippage disturbances subject to various constraints. Moreover, the sufficient condition is also analyzed to ensure the WMR system exponential stability. The effectiveness and performance of the proposed method are verified by numerical simulation.
Uncovering new white dwarf–open cluster associations using Gaia DR3
Authors: Prišegen M. , Faltová N. 
Published: July 2023

Context. Open clusters (OCs) provide homogeneous samples of white dwarfs (WDs) with known distances, extinctions, and total ages. The unprecedented astrometric precision of Gaia allows us to identify many novel OC–WD pairs. Studying WDs in the context of their parent OCs makes it possible to determine the properties of WD progenitors and study the initial–final mass relation (IFMR).
Aims. We seek to find potential new WD members of OCs in the solar vicinity. The analysis of OC members’ parallaxes allows us to determine the OC distances to a high precision, which in turn enables us to calculate WD masses and cooling ages and to constrain the IFMR.
Methods. We searched for new potential WD members of nearby OCs using the density-based machine learning clustering algorithm HDBSCAN. The clustering analysis was applied in five astrometric dimensions – positions in the sky, proper motions and parallaxes, and in three dimensions where the positional information was not considered in the clustering analysis. The identified candidate OC WDs were further filtered using the photometric criteria and properties of their putative host OCs. The masses and cooling ages of the WDs were calculated via a photometric method using all available Gaia, Pan-STARRS, SDSS, and GALEX photometry. The WD progenitor masses were determined using the ages and metallicities of their host OCs.
Results. Altogether, 63 OC WD candidates were recovered, 27 of which are already known in the literature. We provide characterization for 36 novel WDs that have significant OC membership probabilities. Six of them fall into relatively unconstrained sections of the IFMR where the relation seems to exhibit nonlinear behavior. We were not able to identify any WDs originating from massive progenitors that would even remotely approach the widely adopted WD progenitor mass limit of 8 M⊙; this confirms the paucity of such objects residing in OCs and hints at a presence of velocity kicks for nascent WDs.
The Lévy walk with rests under stochastic resetting
Authors: Liu Jian , Hu Yuhang , Bao Jing-Dong 
Published: July 2023

Abstract
The Lévy walk with rests (LWR) model is a typical two-state stochastic process that has been widely and successfully adopted in the study of intermittent stochastic phenomena in physical and biological systems. Stochastic processes under resetting provide treatable and interesting schemes to study foraging and search strategies. In this manuscript, we focus on the anomalous diffusive behavior of the LWR under stochastic resetting. We consider both the case of instantaneous resetting, in which the particle stochastically returns to a given position immediately, and the case of noninstantaneous resetting, in which the particle returns to a given position with a finite velocity. The anomalous diffusive behaviors are analyzed and discussed by calculating the mean squared displacement analytically and numerically. Results reveal that the stochastic resetting can not only hinder the diffusion, where the diffusion evolves toward a saturation state, but also enhances it, where as compared with the LWR without resetting, the diffusion exponent surprisingly increases. As far as we know, the enhancement effect caused by stochastic resetting has not yet been reported. In addition, the resetting time probability density function (PDF) of the instantaneous resetting and the return time PDF of the noninstantaneous resetting are studied. Results reveal that the resetting time PDF could follow a power law provided that the sojourn time PDF is power-law distributed and the sojourn time with a heavier tail plays a decisive role in determining the resetting time PDF, whereas the shape of the return time PDF is determined by not only by the sojourn time PDF, but also by the return manner.
Recent Developments of Natural Fibres: Natural Fibre Biocomposites, Treatments, and Characterizations
Authors: Cagrı Uyanik M. , Tamer Erturk A. 
Published: July 2023

Abstract
Natural fibres are highly desirable in composites as they are renewable, biodegradable, and cost-effective. They are also abundant in nature with many different types available all over the world. However, despite their advantages, key challenges such as poor fibre-matrix interfacial bonding and moisture absorption limit their widespread adoption in more sophisticated applications. This article provides an overview of natural fibres, including classifications, types, properties, advantages, and disadvantages, with a subsequent review of recent studies, focusing on fibre-matrix selection, treatment methods, and characterization to better understand the current situation. It is apparent from these studies that water absorption is a significant challenge due to the inherent hydrophilic nature of natural fibres as even after treatments like mercerization and silane were applied, substantial amounts of absorption were observed. The effects of powder fillers also vary, with beneficial effects up to a certain proportion, beyond which they became detrimental.
Design of Injection Mould for Lithium Battery Heat Dissipation Device Connector Bottom Cover
Authors: Zhang Heli , Fei Qiang , Jin Biao 
Published: July 2023

Abstract
The design process of the injection mould for the Lithium battery heat dissipation device connector bottom cover is described in detail. In the design process, the UG software is used to establish the three-dimensional model of the plastic part, and the mould flow analysis is carried out with the help of the moldflow software to determine the optimal gate position of the plastic part. By determining the injection process parameters of Lithium battery heat dissipation device connector bottom cover material, the design of the cavity layout of the plastic part is completed, and the basic size and mould structure of the mould base are determined. Then, the UG injection mould design guide module was used to carry out the parting design, and the structural design of the mould’s gating system, molding parts, lateral parting mechanism, core-pulling mechanism, ejection mechanism, exhaust system and cooling system was completed in turn. The whole design process improved the efficiency of mould design and saved a lot of time and cost.
Experimental Investigation on the Effects of PODEn Addition on Combustion Characteristics of a Diesel Engine
Authors: Zhao Yuwei , Li Ting , Cheng Peiyuan , Cheng Yuemeng , Zheng Wenxiu 
Published: July 2023

Abstract
Experimental tests were conducted to study the effects of PODEn (Polyoxymethy-lene dimethyl ethers) addition on the combustion characteristics and economy of a Yunnei Power 2102QB engine. The alternative fuel PODEn were blended with 0# diesel with mass fractions of 10%, 20%, 30%, and 50%, respectively. Results showed that as the PODEn concentration increased, the in-cylinder pressure curves of diesel/PODEn blends moved forward, the ignition delay time decreased, and the peak value of the in-cylinder pressure decreased gradually. The brake thermal efficiency of P10D90 and P20D80 were higher than that of D100, with a maximum increase of 2.1%. The brake specific fuel consumption raised and the brake thermal efficiency reduced when the PODEn blending ratio was at a high level (≥30%). Blending PODEn with low proportion can improve the combustion process and economy of 2102QB diesel engine.
Simulation of Brittle Materials Based on Ordinary State-based Peridynamics
Authors: Zhou Ji , Qian Songrong 
Published: July 2023

Abstract
We present a coupled model for brittle materials based on the ordinary state-based peridynamics. The ordinary state-based peridynamics theory is suitable for describing the plastic incompressibility problem and has good application prospects in the fracture damage simulation of brittle materials. The brittle material is a material with a compressive load-bearing capacity greater than the tensile load-bearing capacity and has the characteristics of incompressibility, which is consistent with the application scope of ordinary state-based peridynamics. The mechanical behavior of brittle materials is simulated and analyzed using the ordinary state-based peridynamics theory coupled with brittle materials, and the validity of the model is verified using the finite element method. The results show that the model can effectively capture the displacement field distribution of the brittle material, and the comparison of the finite element results displacement field is consistent. Finally, crack extension analysis is performed on the brittle material plate with prefabricated defects, where the cracks extend along the defect location, bifurcate, and finally penetrate the upper and lower surfaces of the material. The results show that the model can effectively predict the crack expansion path of the material, which provides a new research idea for the simulation of crack expansion in brittle materials.
Robust Optimization of Chemical Networks Based on Dynamic Nonlinear Load Capacity Model
Authors: Liu Ruijie , Wang Zheng , Dong Ran , Li Huapeng , Hou Jingmin , Dong Zhaofei , Xie Tongtong 
Published: July 2023

Abstract
In the research on the robustness of chemical network, predecessors described the robustness of chemical network by establishing a cascade failure model, and then optimized the robustness. However, in the previous research, it was mainly static, without considering the network dynamics formed by the complex internal structure and strong correlation between variables of chemical network. At the same time, the previous research mainly focuses on static and does not consider the network dynamics formed by the complex internal structure of the chemical network and the strong correlation between variables. Therefore, this paper considers the dynamic characteristics of the actual chemical process system network, establishes a dynamic cascade failure model based on a nonlinear model of load capacity, and proposes a target node protection strategy to protect specific target nodes for robust optimization after considering the influence of specific nodes on neighboring nodes, which reduces the failure probability after the network suffers a failure and provides a It provides a theoretical basis for improving the cascade failure resistance of chemical networks.
Fault diagnosis of Rolling Bearing for Motor Based on LSTM-EEMD and Genetic Optimization
Authors: Li Zheyuan , Cai Shulin , Li Xiaoquan , Shao Siyu , Yang Xinyu 
Published: July 2023

Abstract
In the process of ensemble empirical mode decomposition (EEMD) for motor rolling bearing time series, if the classifier is trained directly using the eigenvalues extracted from the pattern components, there are two shortcomings leading to the reduction of fault identification accuracy as follows: decomposition has serious endpoint effects; the correlation between extracted features lead to the confusion of the fault feature vector classification boundary. Aiming at the problems, in this paper, a fault diagnosis model was built. Firstly, LSTM is used to extend the original data to reduce the divergence degree of the endpoint. Secondly, correlation analysis and dimensionality reduction were carried out for the extracted features to reduce the feature dimension. Finally, the eigenvalues were weighted and genetically optimized to enhance the boundary of different eigenvectors. The experimental results validated by data sets showed that the accuracy of fault diagnosis would be improved by using LSTM extension and genetic optimization feature vector.
The use of the World Guidelines for Falls Prevention and Management’s risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA)
Authors: Hartley Peter , Forsyth Faye , Rowbotham Scott , Briggs Robert , Kenny Rose Anne , Romero-Ortuno Roman 
Published: July 2023

Abstract

Background
the aim of this study was to retrospectively operationalise the World Guidelines for Falls Prevention and Management (WGFPM) falls risk stratification algorithm using data from The Irish Longitudinal Study on Ageing (TILDA). We described how easy the algorithm was to operationalise in TILDA and determined its utility in predicting falls in this population.

Methods
participants aged ≥50 years were stratified as ‘low risk’, ‘intermediate’ or ‘high risk’ as per WGFPM stratification based on their Wave 1 TILDA assessments. Groups were compared for number of falls, number of people who experienced one or more falls and number of people who experienced an injury when falling between Wave 1 and Wave 2 (approximately 2 years).

Results
5,882 participants were included in the study; 4,521, 42 and 1,309 were classified as low, intermediate and high risk, respectively, and 10 participants could not be categorised due to missing data. At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen, and 7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.

Conclusion
the implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.
Wave damping by giant kelp, Macrocystis pyrifera
Authors: Elsmore Kristen , Nickols Kerry J , Miller Luke P , Ford Tom , Denny Mark W , Gaylord Brian 
Published: July 2023

Abstract

Background and Aims
The increased likelihood and severity of storm events has brought into focus the role of coastal ecosystems in provision of shoreline protection by attenuating wave energy. Canopy-forming kelps, including giant kelp (Macrocystis pyrifera), are thought to provide this ecosystem service, but supporting data are extremely limited. Previous in situ examinations relied mostly on comparisons between nominally similar sites with and without kelp. Given that other factors (especially seafloor bathymetry and topographic features) often differ across sites, efforts to isolate the effects of kelp on wave energy propagation confront challenges. In particular, it can be difficult to distinguish wave energy dissipation attributable to kelp from frictional processes at the seabed that often covary with the presence of kelp. Here, we use an ecological transition from no kelp to a full forest, at a single site with static bathymetry, to resolve unambiguously the capacity of giant kelp to damp waves.

Methods
We measured waves within and outside rocky reef habitat, in both the absence and the presence of giant kelp, at Marguerite Reef, Palos Verdes, CA, USA. Nested within a broader kelp restoration project, this site transitioned from a bare state to one supporting a fully formed forest (density of 8 stipes m−2). We quantified, as a function of incident wave conditions, the decline in wave energy flux attributable to the presence of kelp, as waves propagated from outside and into reef habitat.

Key Results
The kelp forest damped wave energy detectably, but to a modest extent. Interactions with the seabed alone reduced wave energy flux, on average, by 12 ± 1.4 % over 180 m of travel. The kelp forest induced an additional 7 ± 1.2 % decrease. Kelp-associated declines in wave energy flux were slightly greater for waves of longer periods and smaller wave heights.

Conclusions
Macrocystis pyrifera forests have a limited, albeit measurable, capacity to enhance shoreline protection from nearshore waves. Expectations that giant kelp forests, whether extant or enhanced through restoration, have substantial impacts on wave-induced coastal erosion might require re-evaluation.