bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication of jelly like material from rLLDPE by a binary approach based on gamma irradiation and thermal processing for oil remediation
Authors: Gayed H. M. , Ghobashy Mohamed Mohamady 
Published: March 2024

AbstractThis study investigated the fabrication of a jelly-like material from recycled linear low-density polyethylene (rLLDPE) using gamma irradiation and thermal processing with silicone oil. rLLDPE was irradiated at 0, 50, 75, and 100 kGy before pyrolysis in silicone oil at 300 ℃ for 1 h to produce the jelly-like material (Ir-jLLDPE). Fourier transform infrared spectroscopy confirmed interactions between rLLDPE and silicone oil in Ir-jLLDPE. Scanning electron microscopy revealed a rough, porous surface morphology with internal fibrillar structures. Thermogravimetric analysis showed thermal decomposition stages related to structural changes from irradiation and silicone oil integration. Batch adsorption experiments demonstrated the exceptional absorption capacities of Ir-jLLDPE for various organic solvents (0.1–24.7 g/g) and oils (0.6–19.8 g/g). Kinetic studies revealed absorption followed pseudo-first order at 50 and 75 kGy doses and pseudo-second order at 0 and 100 kGy doses. Isotherm modeling indicated the Freundlich model better described adsorption behavior. Over 10 adsorption cycles, Ir-jLLDPE exhibited excellent stability for pump oil at 50 and 75 kGy. This research highlights the promise of gamma-irradiated, thermally processed rLLDPE materials for applications in oil spill remediation, organic contaminant removal, and environmental sustainability. The novel approach of combining radiation and thermal processing can upcycle problematic rLLDPE plastic waste into an absorbent jelly material with potential environmental remediation applications.
CeO2-supported Pt nanoclusters for improved electrochemical oxidation of methanol
Authors: Ravichandran Sabarinathan , Hao Shuhua , Zhang Wenli 
Published: March 2024

AbstractDeveloping highly durable and active Pt-supported catalysts is currently the most prominent and practicable electrocatalyst design strategy for direct methanol fuel cells (DMFC) due to their high electrocatalytic stability and activity. Herein, we fabricated CeO2 nanorods with tiny Pt nanoparticles that possess good electrocatalytic behavior for methanol oxidation reaction (MOR). In addition, the presence of Ce3+ and small Pt nanoparticles (3.46 nm) enhanced strong metal interaction, facilitating the formation of oxygen vacancies on the CeO2 surface to boost the MOR performance. Hence, the Pt-CeO2 catalyst revealed high mass activity (1414.0 mA mg−1) and areal-specific activity (1.615 mA cm−2) towards MOR in an acidic electrolyte, which was three times that of the 20% Pt/C catalyst (545.4 mA mg−1 and 0.856 mA cm−2). Besides, the Pt-CeO2 catalyst exhibited excellent performance of MOR in an alkaline electrolyte and retained 90.44% of its initial mass activity after 5000 cycles due to the unique morphology and synergistic effects between Pt and CeO2. Pt-CeO2 is regarded as a promising MOR electrocatalyst for DMFC applications.
Graphical Abstract
Impact of Automated Prognostication on Traumatic Brain Injury Care: A Focus Group Study
Authors: Hibi Atsuhiro , Cusimano Michael D. , Bilbily Alexander , Krishnan Rahul G. , Tyrrell Pascal N. 
Published: March 2024

ABSTRACTBackground:Prognosticating outcomes for traumatic brain injury (TBI) patients is challenging due to the required specialized skills and variability among clinicians. Recent attempts to standardize TBI prognosis have leveraged machine learning (ML) methodologies. This study evaluates the necessity and influence of ML-assisted TBI prognostication through healthcare professionals’ perspectives via focus group discussions.Methods:Two virtual focus groups included ten key TBI care stakeholders (one neurosurgeon, two emergency clinicians, one internist, two radiologists, one registered nurse, two researchers in ML and healthcare and one patient representative). They answered six open-ended questions about their perceptions and potential ML use in TBI prognostication. Transcribed focus group discussions were thematically analyzed using qualitative data analysis software.Results:The study captured diverse perceptions and interests in TBI prognostication across clinical specialties. Notably, certain clinicians who currently do not prognosticate expressed an interest in doing so independently provided they had access to ML support. Concerns included ML’s accuracy and the need for proficient ML researchers in clinical settings. The consensus suggested using ML as a secondary consultation tool and promoting collaboration with internal or external research resources. Participants believed ML prognostication could enhance disposition planning and standardize care regardless of clinician expertise or injury severity. There was no evidence of perceived bias or interference during the discussions.Conclusion:Our findings revealed an overall positive attitude toward ML-based prognostication. Despite raising multiple concerns, the focus group discussions were particularly valuable in underscoring the potential of ML in democratizing and standardizing TBI prognosis practices.
Between Aims and Execution: Value Trade-Offs in the Practical Implementation of the European Arrest Warrant?
Authors: Kleizen Bjorn , Wynen Jan , Junjan Veronica 
Published: March 2024

AbstractThe European Union (EU) increasingly develops and implements policies infused with salient and sometimes conflicting values – for instance, in migration and criminal law cooperation. However, policy implementation studies have not frequently considered how such complex value trade-offs may affect practical implementation within Member States. This article therefore quantitatively and temporally examines the practical implementation of an EU flagship criminal law measure: the simplified extradition system known as the European Arrest Warrant (EAW). Using data on EAWs decided upon by the Dutch Amsterdam District Court, we test the impact of value trade-offs by examining whether (newly introduced) safeguards for the protection of requested persons adversely affect system efficiency (measured through case turnover times). The results suggest that the design of legal tests and adjustments made to the EAW system over time through the Court of Justice of the European Union affect the balance between fundamental rights protection and efficiency in the practical implementation of the EAW.
Metrology for sub-Rayleigh-length target positioning in ∼1022 W/cm2 laser–plasma experiments
Authors: Vishnyakov E. A. , Sagisaka A. , Ogura K. , Esirkepov T. Zh. , Gonzalez-Izquierdo B. , Armstrong C. D. , Pikuz T. A. , Pikuz S. A. , Yan W. , Jeong T. M. , Singh S. , Hadjisolomou P. , Finke O. , Grittani G. M. , Nevrkla M. , Lazzarini C. M. , Velyhan A. , Hayakawa T. , Fukuda Y. , Koga J. K. , Ishino M. , Kondo K. , Miyasaka Y. , Kon A. , Nishikino M. , Nosach Y. V. , Khikhlukha D. , Tsygvintsev I. P. , Kumar D. , Nejdl J. , Margarone D. , Sasorov P. V. , Weber S. , Kando M. , Kiriyama H. , Kato Y. , Korn G. , Kondo K. , Bulanov S. V. , Kawachi T. , Pirozhkov A. S. 
Published: March 2024

Abstract
Tight focusing with very small f-numbers is necessary to achieve the highest at-focus irradiances. However, tight focusing imposes strong demands on precise target positioning in-focus to achieve the highest on-target irradiance. We describe several near-infrared, visible, ultraviolet and soft and hard X-ray diagnostics employed in a ∼1022 W/cm2 laser–plasma experiment. We used nearly 10 J total energy femtosecond laser pulses focused into an approximately 1.3-μm focal spot on 5–20 μm thick stainless-steel targets. We discuss the applicability of these diagnostics to determine the best in-focus target position with approximately 5 μm accuracy (i.e., around half of the short Rayleigh length) and show that several diagnostics (in particular, 3

$\omega$

reflection and on-axis hard X-rays) can ensure this accuracy. We demonstrated target positioning within several micrometers from the focus, ensuring over 80% of the ideal peak laser intensity on-target. Our approach is relatively fast (it requires 10–20 laser shots) and does not rely on the coincidence of low-power and high-power focal planes.
Bureaucratic entrepreneurship: how frontline bureaucrats promote policy innovation
Authors: Zhang Xuefan , He Yanling 
Published: March 2024

AbstractIn contrast to other studies on policy entrepreneurship that address frontline officials’ roles in formal legislative procedures, this case study focuses on how frontline officials promote policy innovation within inconspicuous administrative routines. Because frontline officials have no legislative power, they must overcome officialism by using bureaucratic skills and seeking consensus among multiple stakeholders. “Citizen agents” and “state agents” are both necessary roles. This case provides administrative details on how a deadlocked policy was gradually enlivened within undramatic administrative routines. The findings bridge the legislative–administrative gap and improve the understanding of the long-term effects of frontline administrative activities on policy innovations.
When Do Trade Unions Support Universal Demands? Organizational Context and Trade Union Strategies in the US and UK at the Turn of the 20th Century
Authors: Adereth Maya 
Published: March 2024

AbstractWhen do labor movements come to support universal welfare policies? This article examines this question through a comparative account of the British and American labor movements at the turn of the twentieth century. Drawing on newspaper and meeting records from the Amalgamated Society of Engineers (ASE), the Amalgamated Society of Railway Servants (ASRS), the Cigarmakers International Union (CMIU), and the Brotherhood of Locomotive Firemen and Enginemen (BLF) from the mid-nineteenth century to World War I, it considers why, given a common tradition of exclusive benefits, the two movements diverged on the question of universal state health and pension schemes at the turn of the century—with the British labor movement abandoning its voluntarist orientation and the AFL preserving it.Complementing existing sociological accounts that emphasize state and party structure, sectoral composition, pace and quality of industrial change, and the demographic makeup of labor movements, this article builds on approaches from the sociology of organizations in centering the importance of organizational arenas in shaping trade union strategies and aims. In particular, it investigates the role of friendly and fraternal societies in structuring trade union interests over this period. The article demonstrates how changes within the friendly and fraternal society movement shaped the contextual significance and strategic value of benefit provision in each trade union over time. In doing so, it opens the way for a deeper reflection on the importance of organizational reasoning in shaping trade union organizing and the trajectory of welfare institutions.
Radar-based path planning of autonomous surface vehicle with static and dynamic obstacles in a Frenet Frame
Authors: Hu Zhihuan , Yang Ziheng , Liu Xiaocheng , Zhang Weidong 
Published: March 2024

AbstractNavigation safety at sea is vital for each autonomous surface vehicle (ASV), which involves the problem of motion planning in dynamic environments and their robust tracking through feedback control. We present a practical path-planning method that generates smooth trajectories for a marine vehicle traveling in an unknown environment, where obstacles are detected in real time by millimetre wave (mmWave) radar. Our approach introduces a polynomial curve to describe the lateral and longitudinal trajectories in the Frenet frame, known as the ‘motion primitives’, whose combination ensures that the planning area is properly covered. In addition, we can select a feasible, optimal and collision-free trajectory from such a set of motion primitives that is generated by considering the vehicle dynamics and comfort. The capabilities of proposed algorithm are demonstrated in the experiment with static and dynamic obstacles.
COVID-19 outbreak at a residential apartment building in Northern Ontario, Canada
Authors: Lozano Dinna , Dohoo Carolyn , Elfstrom David , Carswell Kendra , Guthrie Jennifer L. 
Published: March 2024

Abstract
In February 2021, a cluster of Beta variant (B.1.351) coronavirus disease 2019 (COVID-19) cases were identified in an apartment building located in Northern Ontario, Canada. Most cases had no known contact with each other. Objectives of this multi-component outbreak investigation were to better understand the social and environmental factors that facilitated the transmission of COVID-19 through this multi-unit residential building (MURB). A case–control study examined building-specific exposures and resident behaviours that may have increased the odds of being a case. A professional engineer assessed the building’s heating, ventilation, and air-conditioning (HVAC) systems. Whole-genome sequencing and an in-depth genomic analysis were performed. Forty-five outbreak-confirmed cases were identified. From the case–control study, being on the upper floors (OR: 10.4; 95% CI: 1.63–66.9) and within three adjacent vertical lines (OR: 28.3; 3.57–225) were both significantly associated with being a case of COVID-19, after adjusting for age. There were no significant differences in reported behaviours, use of shared spaces, or precautions taken between cases and controls. An assessment of the building’s ventilation found uncontrolled air leakage between apartment units. A single genomic cluster was identified, where most sequences were identical to one another. Findings from the multiple components of this investigation are suggestive of aerosol transmission between units.
Lithic tool provisioning in the western Aztec provinces: A view from Calixtlahuaca
Authors: Andrews Bradford W. , Huster Angela C. , Smith Michael E. 
Published: March 2024

AbstractWe describe an analysis of the flaked stone tools recovered from households in the Postclassic central Mexican city of Calixtlahuaca (a.d. 1130–1530). Most artifacts are obsidian and represent the blade-core technology, but biface and bipolar artifacts are also represented. Even though household residents were involved in limited biface and bipolar reduction, it appears that the city did not have any resident blade producers. This finding is at odds with the views of many archaeologists, who tend to associate craft production with the emergence of complex Mesoamerican urban centers. We examine the technologies from temporally distinct Calixtlahuacan household assemblages. We discuss why the quantity and quality artifacts associated with blade production are not consistent with resident blade making in the city. Finally, we examine four models for blade provisioning: (1) whole-blade trade, (2) processed-blade trade, (3) long-distance itinerant craftsmen, and (4) local, hinterland-based craftsmen. Evaluating how the Calixtlahuacans got their flaked stone tools has important implications for the comparative understanding of the organization and scale of economic provisioning systems in Postclassic central Mexico. This analysis supports new inferences about the nature of commercial networks that supplied the Toluca Valley prior to the arrival of the Spanish in the sixteenth century.
Sinus venosus atrial septal defect presenting with platypnea-orthodeoxia syndrome in the setting of COVID-19 infection
Authors: Thomas Courtney H. , Zampi Jeffrey D. , Joynt Michael R. 
Published: March 2024

AbstractPlatypnea-orthodeoxia syndrome is characterised by hypoxemia and dyspnoea while upright that resolves when supine, typically associated with an interatrial communication. We present a case of platypnea-orthodeoxia syndrome associated with a sinus venosus atrial septal defect in a patient with multiple possible aetiologies of hypoxemia, including COVID-19 infection. Cardiac catheterisation with provocative maneuvers confirmed the diagnosis and symptoms resolved following defect closure. We suggest that in patients with platypnea-orthodeoxia syndrome, it is useful to obtain haemodynamic data while supine and upright
Morpho-phenological characterization and genetic analysis of dolichos bean germplasm from Uttar Pradesh, India
Authors: V Kiran , Ola Arjun Lal , Tiwari Devesh , Sharma Gaurav , Kumar Shailendra , Singh Saurabh 
Published: March 2024

AbstractThe true characterization of elite germplasm is of utmost importance for accelerating the crop breeding programme. The Indian dolichos bean [Lablab purpureus (L.) var. typicus Prain] has the potential to improve nutritional and food security. In the present investigation, a total of 21 genotypes of dolichos bean, comprising local collections mainly, along with one standard check (Kashi Sheetal) were evaluated in a complete randomized block design with three replications for two consecutive years, 2021–22 to 2022–23 for the perusal of the genetic variability. Analysis of variance revealed significant differences among all the genotypes for all the characters. PCV and GCV estimates revealed very little influence of environment on the expression of traits under study. High heritability (>90%) estimates coupled with high genetic advance as a percent of the mean were observed for flower attributes, pod length, average weight of 10 pods, pod yield and protein content. The principal component analysis revealed that the first two components cumulatively accounted for more than 50% of total variability. The present investigation revealed that the genotypes, RLBDL-S-8, RLBDL-S-14 and RLBDL-S-4-5 were stable across the years and genotype RLBDL-S-8 exhibited the highest yield potential, which can be used effectively in the development of high yielding varieties of dolichos bean in the Bundelkhand region. The study also revealed the presence of wide genetic variability in the studied local accessions which is a prerequisite for the genetic improvement of crop plants. High heritability and genetic advancement indicated the scope of selection in the crop improvement.
Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution
Authors: Pontesilli A. , Di Fiore F. , Scarlato P. , Ellis B. , Del Bello E. , Andronico D. , Taddeucci J. , Brenna M. , Nazzari M. , Bachmann O. , Mollo S. 
Published: March 2024

AbstractOpen‐conduit conditions characterize several of the most hazardous and active volcanic systems of basaltic composition worldwide, persistently refilled by magmatic inputs. Eruptive products with similar bulk compositions, chemically buffered by continual mafic inputs, nevertheless exhibit heterogeneous glass compositions in response to variable magma mixing, crystallization, and differentiation processes within different parts of the plumbing system. Here, we document how multivariate statistics and magma differentiation modeling based on a large data set of glass compositions can be combined to constrain magma differentiation and plumbing system dynamics. Major and trace elements of matrix glasses erupted at Stromboli volcano (Italy) over the last 20 years provide a benchmark against which to test our integrated petrological approach. Principal component analysis, K‐means cluster analysis, and kernel density estimation reveal that trace elements define a multivariate space whose eigenvectors are more readily interpretable in terms of petrological processes than major elements, leading to improved clustering solutions. Comparison between open‐ and closed‐system differentiation models outlines that steady state magma compositions at constantly replenished and erupting magmatic systems approximate simple fractional crystallization trends, due to short magma residence times. Open‐system magma evolution is associated with magma storage crystallinities that are lower than those associated with closed‐system scenarios. Accordingly, open‐system dynamics determine the efficient crystal‐melt separation toward the top of the reservoir, where eruptible melts continuously supply the ordinary activity. Conversely, a mush‐like environment constitutes the bottom of the reservoir, where poorly evolved magmas result from mixing events between mush residual melts and primitive magmas injected from deeper crustal levels.
Resonant Plasma Acceleration at Jupiter Driven by Satellite‐Magnetosphere Interactions
Authors: Sarkango Y. , Szalay J. R. , Sulaiman A. H. , Damiano P. A. , McComas D. J. , Rabia J. , Delamere P. A. , Saur J. , Clark G. , Ebert R. W. , Allegrini F. 
Published: March 2024

AbstractThe Juno spacecraft had previously observed intense high frequency wave emission, broadband electron and energetic proton energy distributions within magnetic flux tubes connected to Io, Europa, Ganymede, and their wakes. In this work, we report consistent enhancements in <46 keV energy proton fluxes during these satellite flux tube transit intervals. We find enhanced fluxes at discrete energies linearly separated in velocity for proton distributions within Io wake flux tubes, and both proton and electron distributions within Europa and Ganymede wake flux tubes. We propose these discrete enhancements to be a result of resonances between particles' bounce motion with standing Alfvén waves generated by the satellite‐magnetosphere interaction. We corroborate this hypothesis by comparing the bounce and field‐line resonance periods expected at the satellites' orbits. Hence, we find bounce‐resonant acceleration is a fundamental process that can accelerate particles in Jupiter's inner magnetosphere and other astrophysical plasmas.
An Automatic Method for Detection and Naive Classification of the Martian Ionospheric Irregularities
Authors: Wan Xin , Zhong Jiahao , Hao Yongqiang , Cao Yutian , Cui Jun , Xiong Chao , Wang Hui , Liu Yiwen , Kuai Jiawei , Li Qiaoling 
Published: March 2024

AbstractThe abundant observations and research established a detailed category of the terrestrial ionospheric irregularities, which significantly advanced our understanding of how the Earth system's complicated physical and chemical process generates the intermediate‐scale structures of the charged particles. Motivated by a future attempt at categorizing the Martian ionospheric irregularity, this study designs a method for naive classification of the plasma density depletion, enhancement, and oscillation based on the in situ measurements of the Martian ionosphere. The technique consists of several procedures: trend estimation, detrending and candidate extraction, and parameterization. The classification is achieved through a machine‐learning‐like process using some testing artificial density profiles. A preliminary credence test shows a good performance in separating the terrestrial low‐latitude Equatorial Plasma bubble (depletion) and mid‐latitude Median‐scale Traveling Ionospheric Disturbance (oscillation). Another detection experiment of the Martian plasma depletion events (collected by Basuvaraj et al. (2022a, https://doi.org/10.1029/2022je007302)) showed a recall rate (i.e., true positive) of 38% but with a high precision of 67.8%. Therefore, we believe the proposed method could convincingly extract different Martian ionospheric irregularities and help uncover the climatological characteristics in the future.