bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data
Authors: Aggour Kareem S. , Kumar Vijay S. , Gupta Vipul K. , Gabaldon Alfredo , Cuddihy Paul , Mulwad Varish 
Published: April 2024

AbstractThe development and discovery of new materials can be significantly enhanced through the adoption of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and the establishment of a robust data infrastructure in support of materials informatics. A FAIR data infrastructure and associated best practices empower materials scientists to access and make the most of a wealth of information on materials properties, structures, and behaviors, allowing them to collaborate effectively, and enable data-driven approaches to material discovery. To make data findable, accessible, interoperable, and reusable to materials scientists, we developed and are in the process of expanding a materials data infrastructure to capture, store, and link data to enable a variety of analytics and visualizations. Our infrastructure follows three key architectural design philosophies: (i) capture data across a federated storage layer to minimize the storage footprint and maximize the query performance for each data type, (ii) use a knowledge graph-based data fusion layer to provide a single logical interface above the federated data repositories, and (iii) provide an ensemble of FAIR data access and reuse services atop the knowledge graph to make it easy for materials scientists and other domain experts to explore, use, and derive value from the data. This paper details our architectural approach, open-source technologies used to build the capabilities and services, and describes two applications through which we have successfully demonstrated its use. In the first use case, we created a system to enable additive manufacturing data storage and process parameter optimization with a range of user-friendly visualizations. In the second use case, we created a system for exploring data from cathodic arc deposition experiments to develop a new steam turbine coating material, fusing a combination of materials data with physics-based equations to enable advanced reasoning over the combined knowledge using a natural language chatbot-like user interface.
Simplified prediction models for acoustic installation effects of train-mounted equipment
Authors: Thompson David , Zhao Dong , Squicciarini Giacomo 
Published: April 2024

AbstractAcoustic models of railway vehicles in standstill and pass-by conditions can be used as part of a virtual certification process for new trains. For each piece of auxiliary equipment, the sound power measured on a test bench is combined with measured or predicted transfer functions. It is important, however, to allow for installation effects due to shielding by fairings or the train body. In the current work, fast-running analytical models are developed to determine these installation effects. The model for roof-mounted sources takes account of diffraction at the corner of the train body or fairing, using a barrier model. For equipment mounted under the train, the acoustic propagation from the sides of the source is based on free-field Green’s functions. The bottom surfaces are assumed to radiate initially into a cavity under the train, which is modelled with a simple diffuse field approach. The sound emitted from the gaps at the side of the cavity is then assumed to propagate to the receivers according to free-field Green’s functions. Results show good agreement with a 2.5D boundary element model and with measurements. Modelling uncertainty and parametric uncertainty are evaluated. The largest variability occurs due to the height and impedance of the ground, especially for a low receiver. This leads to standard deviations of up to 4 dB at low frequencies. For the roof-mounted sources, uncertainty over the location of the corner used in the equivalent barrier model can also lead to large standard deviations.
Evaluation of Formulated Jatropha Oil as Cooling and Lubricating Cutting Fluids in Turning of AISI 1525 Steel Employing Taguchi-TOPSIS Technique
Authors: Kazeem Rasaq Adebayo , Jen Tien-Chien , Ikumapayi Omolayo Michael , Akinlabi Esther Titilayo 
Published: April 2024

AbstractThis study examined the impact of cutting parameters and fluids on machining performance metrics, such as machine vibration rate and sound level, when turning AISI 1525 steel using tungsten carbide tools. Jatropha oil was used in two forms, minimum quantity lubrication and emulsion. Jatropha MQL was applied directly to the cutting region without any additives or water. Jatropha emulsion was formulated based on 44 full factorial techniques. Jatropha emulsion was formulated by mixing water, biocide, anticorrosive agent, antifoam agent, and emulsifier. The pH of the emulsified sample was used to determine the best formulation through optimization. Jatropha emulsion and Jatropha MQL were compared with their mineral oil equivalent during machining under Taguchi L9 orthogonal array settings. The hardness of the workpiece was determined at every 5 mm diameter. Additionally, the microstructure of the workpiece was examined at 5 mm, 35 mm, and 70 mm diameters of the shaft. Multi-response optimization was performed using TOPSIS to determine optimal cutting parameters to minimize machine vibration rate and machine sound level. Results showed that jatropha MQL and jatropha emulsion reduced machine vibration rate drastically as compared to mineral oil counterparts. Jatropha MQL surpassed jatropha emulsion, mineral emulsion, and mineral MQL by 75.8%, 81.2%, and 90.5%, respectively. In terms of sound intensity, Jatropha oil MQL performed significantly better than other cooling and lubricating fluids based on general process parameter results. The hardness of the material increases as the diameter increases and it varies between 70.2 HBR and 150.4 HBR. Microstructural analysis showed the presence of pearlites and ferrites on the selected shaft diameters. Findings showed that the lowest machine vibration and machine sound values were achieved with experimental trial 1 such as spindle speed (355 rev/min), feed rate (0.10 mm/rev), and depth of cut (0.75 mm) in all cases of machining fluid. The optimal solutions of spindle speed, feed rate, and depth of cut were 355 rev/min, 0.10 mm/rev, and 0.75 mm; 355 rev/min, 0.15 mm/rev, and 1.00 mm for machine sound and machine vibrations, respectively.
A novel Bayesian optimization prediction framework for four-axis industrial robot joint motion state
Authors: Zhu Li , Liu Wei , Tan Hanzhong , Hu Tao 
Published: April 2024

AbstractRobot joints are the main structure for controlling the motion of the machine body, where the motion state of them directly affects the performance of the industrial robot. Due to the difficulty of obtaining the joint torque information of industrial robots, it is very hard to monitor the motion state of them. Based on the velocity and force driven by current of motors, we propose a novel Bayesian optimization framework to predict the joint motion state of industrial robot in this paper. Based on the temporal correlation of joint current and the correlation between the current and motion state of joint, we use the LSTM and BiLSTM to regressing prediction of the current and state of joint motor first. Then, the Bayesian optimization method is used to adjust the hyperparameters of our network, which realize the analysis of the joint motor current under different motion states and improve the accuracy of the prediction of joint motion states. Finally, we design the joint current acquisition platform of industrial robot based on Hall current sensors, which can collect joint currents without contact and generate experimental dataset. Comparing with the popular intelligent methods, the results show that our Bayesian optimization framework realizes a more accurate prediction of motion state for the four-axis industrial robot on the basis of contact-less current acquisition.
Aperiodic Two-Dimensional Acoustic Black Holes for Broadband Vibration Attenuation in a Strip
Authors: Han Bing , Ji Hongli , Wang Chaoyan , Qiu Jinhao , Krushynska Anastasiia O. 
Published: April 2024

Abstract
Purpose
Acoustic black holes (ABHs) are promising for vibration control in lightweight structures as proven for one- or two-dimensional periodic arrangements. Here, we explored the effects of spatial disorder and heterogeneous designs of ABHs to broaden an intrinsically limited attenuation bandwidth of periodic counterparts.

Method
We proposed several strategies to introduce non-periodic arrangements and/or different ABH profiles by solving a maximization problem for the attenuation bandwidth of a plate strip decorated by five ABHs. These strategies allow for finding appropriate dimensions and positions of the ABHs by analyzing a small design subset and are verified experimentally.

Results
The identified periodic heterogeneous ABHs enable greatly extending the attenuation bandwidth, while disordered identical ABHs allow for increasing the attenuation intensity as compared to the corresponding periodic configurations. The mechanisms underlying the wave attenuation enhancement were clarified by tracing the evolution of the wave transmission and structural vibration modes at each design step. We have found that the broadened wave attenuation attributes to the activation of strongly localized modes at broadband frequencies in aperiodic scenarios. These abundant modes are multi-frequency local resonances in ABHs that are sensitive to both the ABH profile and their spatial arrangement.

Conclusion
We prove that relaxing the periodicity requirement on multiple two-dimensional ABHs can extend the vibration attenuation to broadband regimes below the ABH characteristic frequency, numerically and experimentally. Aperiodic designs of ABHs thus enlarge the design space by enabling a broadband wave mitigation with attenuation intensity comparable to that of periodic counterparts without increasing the structural mass.
Reinforced HDPE with optimized biochar content for material extrusion additive manufacturing: morphological, rheological, electrical, and thermomechanical insights
Authors: Vidakis Nectarios , Petousis Markos , Kalderis Dimitrios , Michailidis Nikolaos , Maravelakis Emmanuel , Saltas Vassilios , Bolanakis Nikolaos , Papadakis Vassilis , Spiridaki Mariza , Argyros Apostolos 
Published: April 2024

AbstractThe development of efficient and sustainable composites remains a primary objective of both research and industry. In this study, the use of biochar, an eco-friendly reinforcing material, in additive manufacturing (AM) is investigated. A high-density Polyethylene (HDPE) thermoplastic was used as the matrix, and the material extrusion (MEX) technique was applied for composite production. Biochar was produced from olive tree prunings via conventional pyrolysis at 500 °C. Composite samples were created using biochar loadings in the range of 2.0–10.0 wt. %. The 3D-printed samples were mechanically tested in accordance with international standards. Thermogravimetric analysis (TGA) and Raman spectroscopy were used to evaluate the thermal and structural properties of the composites. Scanning electron microscopy was used to examine the fractographic and morphological characteristics of the materials. The electrical/dielectric properties of HDPE/biochar composites were studied over a broad frequency range (10–2 Hz–4 MHz) at room temperature. Overall, a laborious effort with 12 different tests was implemented to fully characterize the developed composites and investigate the correlations between the different qualities. This investigation demonstrated that biochar in the MEX process can be a satisfactory reinforcement agent. Notably, compared to the control samples of pure HDPE, biochar increased the tensile strength by over 20% and flexural strength by 35.9% when added at a loading of 4.0 wt. %. The impact strength and microhardness were also significantly improved. Furthermore, the Direct current (DC) conductivity of insulating HDPE increased by five orders of magnitude at 8.0 wt. % of biochar content, suggesting a percolation threshold. These results highlight the potential of C-based composites for the use in additive manufacturing to further exploit their applicability by providing parts with improved mechanical performance and eco-friendly profiles.
Graphical Abstract
Online tracking of dynamically time-varying inertia using an enhanced SDFT-based estimation methodology
Authors: Ceulemans David , Vanbecelaere Foeke , Van Oosterwyck Nick , De Viaene Jasper , Steckel Jan , Derammelaere Stijn 
Published: April 2024

AbstractThe overall motion performance of mechatronic machines depends heavily on proper knowledge of the machine’s characteristics, among which the inertia. Moreover, the inertia of most multi-body mechanisms, for example, reciprocating slider-crank mechanisms, varies as a function of the machine position, thereby challenging optimal control. Nevertheless, the inertia’s variation is sometimes not known accurately enough or changes over time due to, e.g. a production process or premature wear, forcing an online control/correction of the inertia profile. Therefore, earlier, the author developed a new computational-friendly online method based on a frequency-specific magnitude response to estimate the machine’s position-dependent load side inertia, assuming good knowledge of all other machine properties. Yet, to guarantee accuracy, the maximum machine speed during estimation had to be strongly reduced, resulting in an undesirable longer motion time. Therefore, in this work, the failure mechanism of the earlier proposed estimator is analysed and overcome by intelligently separating estimation and motion signals. As a result, the estimator is no longer limited by the machine’s motion speed but rather by a maximum in the inertia variation per signal excitation period and, thus, time. Moreover, given this limiting variation, a guideline was established to evaluate the new method’s estimation quality. Finally, both in simulation and on a physical machine, by taking advantage of the newly proposed method, the minimal required estimation time is reduced significantly (up to 50% on the machine) without diminishing the estimation accuracy.
Dissolved organic matter (DOM) enhances the competitiveness of weak exoelectrogens in a soil electroactive biofilm
Authors: Qin Baoli , Huang Yu , Liu Tongxu , Wu Yundang , Li Fangbai 
Published: April 2024

AbstractDissolved organic matter (DOM) as critical redox active soil carbon plays a crucial role in shuttling electrons between bacteria and solid electron acceptors, such as iron oxides. However, research on DOM as an electron shuttle has traditionally focused on its impact on typical iron-reducing bacteria, namely strong exoelectrogens, like Geobacter. Besides these strong exoelectrogens, there is a significant presence of weak exoelectrogens in the soil, but studies examining how DOM affects their survival and competitiveness are lacking. This study focused on exploring the influence of DOM on weak exoelectrogens like Bacillus in the soil. By utilizing soil-bioelectrochemical systems (s-BESs) to enrich soil electroactive microorganisms, it investigated the relationship between the abundance of strong and weak exoelectrogens under conditions rich in DOM and conditions lacking DOM. The results showed that in the rich DOM treatment, the abundance of Geobacter was relatively lower (12 ± 0.5% vs. 41 ± 3%), and there was a significant negative correlation between the abundance changes of 18 weak exoelectrogens and Geobacter. This suggests that DOM caused a decrease in the population of strong exoelectrogens (e.g., Geobacter) while simultaneously promoting the growth of weak exoelectrogens (e.g., Bacillus and Sedimentibacter). Based on this, we propose that DOM, acting as an electron shuttle, creates favorable ecological niches for the thriving and propagation of weak exoelectrogens, enhancing their competitiveness within the microbial community. This new understanding provides deeper insights into the significance of DOM electron shuttling in soil microbial ecology, and raises the question: is the role of weak exoelectrogens in soil iron cycling underestimated due to the existence of DOM?
Graphical Abstract
Populist Storytelling and Negative Affective Polarization: Social Media Evidence from Mexico
Authors: Sarsfield Rodolfo , Abuchanab Zacarías 
Published: April 2024

ABSTRACTThe ideational definition of populism proposes that a narrative is populist if it is characterized by a Manichean cosmology that divides the political community between a “people,” conceived as a homogeneously virtuous entity, and an “elite,” conceived as a homogeneously corrupt entity. Departing from that conceptualization, this work first investigates the specific stories that Andrés Manuel López Obrador uses to spread his populist worldview, which we call “storytelling.” We define the idea of storytelling as the art of telling a story where emotions, characters and other details are applied in order to promote a particular point of view or set of values. Second, we explore whether some of those stories produce greater negative affective polarization, here defined as the extent to which rival sociopolitical camps view each other as a disliked out-group. Findings suggest that some specific stories—in particular, what we call “stories of conspiracy” and “stories of ostracism”—indeed tend to induce more polarized attitudes among citizens.
The Future of Developed Barrier Systems: 2. Alongshore Complexities and Emergent Climate Change Dynamics
Authors: Anarde K. A. , Moore L. J. , Murray A. B. , Reeves I. R. B. 
Published: April 2024

AbstractDeveloped barrier systems (barrier islands and spits) are lowering and narrowing with sea‐level rise (SLR) such that habitation will eventually become infeasible or prohibitively expensive for most communities in its current form. Before reaching this state, choices will be made to modify the natural and built environment to reduce relatively short‐term risk. These choices will likely vary substantially even along the same developed barrier system as these landscapes are rarely uniformly managed alongshore. Building on the results from a companion paper, here we use a new modeling framework to investigate the complexities in barrier system dynamics that emerge as a function of alongshore variability in management strategies, accelerations in SLR, and changes in storm intensity and frequency. Model results suggest that when connected through alongshore sediment transport, barriers with alongshore variable management strategies—here, the construction of dunes and wide beaches to protect either roadways or communities—evolve differently than they would in the absence of alongshore connections. Shoreline stabilization by communities in one location influences neighboring areas managed solely for roadways, inducing long‐term system‐wide lags in shoreline retreat. Conversely, when barrier segments managed for roadways are allowed to overwash, this induces shoreline curvature system‐wide, thus enhancing erosion on nearby stabilized segments. Feedbacks between dunes, storms, overwash flux, and alongshore sediment transport also affect outcomes of climate adaptation measures. In the case of partial, early abandonment of roadway management, we find that system‐wide transitions to less vulnerable landscape states are possible, even under accelerated SLR and increased storminess.
Breaking the Ice: Exploring the Changing Dynamics of Winter Breakup Events in the Beaufort Sea
Authors: Rheinlænder Jonathan W. , Regan Heather , Rampal Pierre , Boutin Guillaume , Ólason Einar , Davy Richard 
Published: April 2024

AbstractThe Beaufort Sea has experienced a significant decline in sea ice, with thinner first‐year ice replacing thicker multi‐year ice. This transition makes the ice cover weaker and more mobile, making it more vulnerable to breakup during winter. Using a coupled ocean‐sea‐ice model, we investigated the impact of these changes on sea‐ice breakup events and lead formation from 2000 to 2018. The simulation shows an increasing trend in the Beaufort Sea lead area fraction during winter, with a pronounced transition around 2007. A high lead area fraction in winter leads to greater growth of new, thin ice within the Beaufort region while also leading to enhanced sea ice transport out of the area. Despite the large export, consisting primarily of thinner first‐year ice, we find little evidence that winter breakup amplifies the advection of multi‐year ice from the central Arctic into the Beaufort Sea. Overall, the export offsets ice growth, resulting in negative volume anomalies and preconditioning a thinner and weaker ice pack at the end of the cool season. Our results indicate that large breakup events may become more frequent as the sea‐ice cover thins and that such events only became common after 2007. This result highlights the need to represent these processes in global‐scale climate models to improve projections of the Arctic.
Can Mesoscale Eddy Kinetic Energy Sources and Sinks Be Inferred From Sea Surface Height in the Agulhas Current Region?
Authors: Tedesco P. , Gula J. , Penven P. , Ménesguen C. , Jamet Q. , Vic C. 
Published: April 2024

AbstractWestern boundaries have been suggested as mesoscale eddy graveyards, using a diagnostic of the eddy kinetic energy (EKE) flux divergence based on sea surface height (η). The graveyard's paradigm relies on the approximation of geostrophy—required by the use of η—and other approximations that support long baroclinic Rossby waves as the dominant contribution to the EKE flux divergence. However, a recent study showed an opposite paradigm in the Agulhas Current region using an unapproximated EKE flux divergence. Here, we assess the validity of the approximations used to derive the η‐based EKE flux divergence using a regional numerical simulation of the Agulhas Current. The EKE flux divergence consists of the eddy pressure work (EPW) and the EKE advection (AEKE). We show that geostrophy is valid for inferring AEKE, but that all approximations are invalid for inferring EPW. A scale analysis shows that at mesoscale (L > O(30) km), EPW is dominated by coupled geostrophic‐ageostrophic EKE flux and that Rossby waves effect is weak. There is also a hitherto neglected topographic contribution, which can be locally dominant. AEKE is dominated by the geostrophic EKE flux, which makes a substantial contribution (54%) to the net regional mesoscale EKE source represented by the EKE flux divergence. Other contributions, including topographic and ageostrophic effects, are also significant. Our results support the use of η to infer a qualitative estimate of the EKE flux divergence in the Agulhas Current region. However, they invalidate the approximations on mesoscale eddy dynamics that underlie the graveyard's paradigm.