bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new type of Halimeda bioherm on the Queensland Plateau, NE Australia
Authors: Reolid Jesus , Bialik Or M. , Lindhorst Sebastian , Eisermann Jan Oliver , Petrovic Alexander , Hincke Carola , Beaman Robin J. , Webster Jody M. , Betzler Christian 
Published: May 2024

AbstractMorphology, internal structure, and in situ facies distribution of mesophotic Halimeda bioherms from the Queensland Plateau (NE Australia) are presented based on hydroacoustic and oceanographic data, seafloor observations, and discrete sediment sampling carried out during RV SONNE cruise SO292 in 2022. Halimeda buildups consist of cone-like mounds up to 500 m in diameter and 3–10 m high, with gentle slopes (2°–5° on the top of Tregrosse Bank). Bioherms occur in water depths of 10–70 m, with most bioherm between 50 and 65 m. Their internal structure consists of aggrading low-amplitude reflections at the core of the bioherm interfingering with high-amplitude reflections to the flanks. Surface facies distribution displays one to four facies belts, from distal to proximal: Halimeda rudstone, Halimeda rudstone with living plants, Halimeda rudstone with coralgal debris, and coralgal boundstone (when present, occupied the top of the bioherms). It is proposed that the alternation of two key processes contributes to the formation of these bioherms: (1) in situ accumulation of Halimeda debris and (2) episodic dismantling of the mesophotic coralgal boundstone at the centre of the bioherm by severe storms. These storms may dismantle the mesophotic reef and export coralgal rubble to the flanks. Flanks may be recolonized by Halimeda during fair-weather periods. Due to their different geomorphic expressions, complex internal structure, and surficial facies distribution, we suggest that the buildups of the Queensland Plateau represent a new Halimeda bioherm morphotype, distinct from previously described bioherms on the adjacent Great Barrier Reef and elsewhere globally.
Towards the development of textured polycrystalline La2NiO4+δ membranes and their oxygen-transporting properties
Authors: Escobar Cano Giamper , Zhao Zhijun , Riebesehl Fabian , Stölting Oliver , Breidenstein Bernd , Feldhoff Armin 
Published: May 2024

AbstractTextured La2NiO4+δ membranes were fabricated by pressureless sintering in air using uniaxially pressed powder mixtures consisting of fine-grained equiaxial La2NiO4+δ matrix particles and plate-like La2NiO4+δ template particles in varying mass ratios. The template particles, obtained by molten-flux synthesis, were aligned perpendicular to the pressing direction. Subsequent sintering resulted in ceramic membranes with enhanced texturing along the crystallographic c-axis of La2NiO4+δ. X-ray diffraction patterns revealed a direct relationship: The higher the fraction of template particles in the ceramics, the more pronounced the c-axis texturing. The Lotgering orientation factor, calculated from the X-ray diffraction patterns, also demonstrated that an increasing proportion of the template particles in the ceramic materials led to stronger (00l) reflections. Additionally, the texturing degree in selected membranes was quantified by measuring pole figures. Scanning electron micrographs of the La2NiO4+δ samples with a small amount of template particles showed some individual plate-like grains well integrated into the matrix. Membrane porosity was observed to increase with higher quantities of template particles utilized. This was supported by measuring the membrane density using the Archimedes method: The larger the proportion of template particles in the ceramics, the lower the sample density. Besides, the presence of lanthanum, nickel, and oxygen in the membranes was confirmed by energy-dispersive X-ray spectroscopy. Finally, the effect of texturing on the oxygen permeation performance of the La2NiO4+δ membranes, in which the template particles are arranged along their c-axis, parallel to the oxygen flux direction, was investigated. The results indicated a reduction in oxygen flux as the level of c-axis texturing increased.
Graphical abstract
The analysis of diversification properties of stablecoins through the Shannon entropy measure
Authors: Sinon Mohavia Ben Amid , Mba Jules Clement 
Published: May 2024

AbstractThe common goal for investors is to minimise the risk and maximise the returns on their investments. This is often achieved through diversification, where investors spread their investments across various assets. This study aims to use the MAD-entropy model to minimise the absolute deviation, maximise the mean return, and maximise the Shannon entropy of the portfolio. The MAD model is used because it is a linear programming model, allowing it to resolve large-scale problems and nonnormally distributed data. Entropy is added to the MAD model because it can better diversify the weight of assets in the portfolios. The analysed portfolios consist of cryptocurrencies, stablecoins, and selected world indices such as the SP500 and FTSE obtained from Yahoo Finance. The models found that stablecoins pegged to the US dollar, followed by stablecoins pegged to gold, are better diversifiers for traditional cryptocurrencies and stocks. These results are probably due to their low volatility compared to the other assets. Findings from this study may assist investors since the MAD-Entropy model outperforms the MAD model by providing more significant portfolio mean returns with minimal risk. Therefore, crypto investors can design a well-diversified portfolio using MAD entropy to reduce unsystematic risk. Further research integrating mad entropy with machine learning techniques may improve accuracy and risk management.
Pathogenic role and clinical significance of neutrophils and neutrophil extracellular traps in idiopathic inflammatory myopathies
Authors: Liu Ruiting , Liu Hongjiang , Yang Leiyi , Li Changpei , Yin Geng , Xie Qibing 
Published: May 2024

AbstractIdiopathic inflammatory myopathies (IIM) are a heterogeneous group of chronic autoimmune diseases characterized by muscle damage and extramuscular symptoms, including specific skin rash, arthritis, interstitial lung disease, and cardiac involvement. While the etiology and pathogenesis of IIM are not yet fully understood, emerging evidence suggests that neutrophils and neutrophil extracellular traps (NETs) have a role in the pathogenesis. Recent research has identified increased levels of circulating and tissue neutrophils as well as NETs in patients with IIM; these contribute to the activation of the type I and type II interferons pathway. During active IIM disease, myositis-specific antibodies are associated with the formation and incomplete degradation of NETs, leading to damage in the lungs, muscles, and blood vessels of patients. This review focuses on the pathogenic role and clinical significance of neutrophils and NETs in IIM, and it includes a discussion of potential targeted treatment strategies.
On exact and inexact RLT and SDP-RLT relaxations of quadratic programs with box constraints
Authors: Qiu Yuzhou , Yıldırım E. Alper 
Published: May 2024

AbstractQuadratic programs with box constraints involve minimizing a possibly nonconvex quadratic function subject to lower and upper bounds on each variable. This is a well-known NP-hard problem that frequently arises in various applications. We focus on two convex relaxations, namely the reformulation–linearization technique (RLT) relaxation and the SDP-RLT relaxation obtained by combining the Shor relaxation with the RLT relaxation. Both relaxations yield lower bounds on the optimal value of a quadratic program with box constraints. We show that each component of each vertex of the RLT relaxation lies in the set $$\{0,\frac{1}{2},1\}$$

{
0
,

1
2

,
1
}

. We present complete algebraic descriptions of the set of instances that admit exact RLT relaxations as well as those that admit exact SDP-RLT relaxations. We show that our descriptions can be converted into algorithms for efficiently constructing instances with (1) exact RLT relaxations, (2) inexact RLT relaxations, (3) exact SDP-RLT relaxations, and (4) exact SDP-RLT but inexact RLT relaxations. Our preliminary computational experiments illustrate that our algorithms are capable of generating computationally challenging instances for state-of-the-art solvers.
Petunia PHYTOCHROME INTERACTING FACTOR 4/5 transcriptionally activates key regulators of floral scent
Authors: Shor Ekaterina , Vainstein Alexander 
Published: May 2024

AbstractFloral scent emission of petunia flowers is regulated by light conditions, circadian rhythms, ambient temperature and the phytohormones GA and ethylene, but the mechanisms underlying sensitivity to these factors remain obscure. PHYTOCHROME INTERACTING FACTORs (PIFs) have been well studied as components of the regulatory machinery for numerous physiological processes. Acting redundantly, they serve as transmitters of light, circadian, metabolic, thermal and hormonal signals. Here we identified and characterized the phylogenetics of petunia PIF family members (PhPIFs). PhPIF4/5 was revealed as a positive regulator of floral scent: TRV-based transient suppression of PhPIF4/5 in petunia petals reduced emission of volatiles, whereas transient overexpression increased scent emission. The mechanism of PhPIF4/5-mediated regulation of volatile production includes activation of the expression of genes encoding biosynthetic enzymes and a key positive regulator of the pathway, EMISSION OF BENZENOIDS II (EOBII). The PIF-binding motif on the EOBII promoter (G-box) was shown to be needed for this activation. As PhPIF4/5 homologues are sensors of dawn and expression of EOBII also peaks at dawn, the prior is proposed to be part of the diurnal control of the volatile biosynthetic machinery. PhPIF4/5 was also found to transcriptionally activate PhDELLAs; a similar positive effect of PIFs on DELLA expression was further confirmed in Arabidopsis seedlings. The PhPIF4/5–PhDELLAs feedback is proposed to fine-tune GA signaling for regulation of floral scent production.
Microstructure Prediction of 80MnSi8-6 Steel After Hot Deformation Based on Dynamic Recrystallization Kinetics and FEM Simulation
Authors: Zyguła Krystian , Cichocki Kamil , Kowalczyk Karolina , Puławski Michał , Korpała Grzegorz , Wojtaszek Marek , Jabłońska Magdalena , Prahl Ulrich 
Published: May 2024

AbstractThe microstructure evolution during hot deformation of 80MnSi8-6 nanobainitic steel was investigated through hot compression tests at deformation temperatures of 900–1250°C and strain rates of 0.1–20 s−1. The flow curves revealed strain-hardening behavior at the beginning of deformation followed by softening effects caused by microstructure evolution. A Johnson–Mehl–Avrami–Kolmogorov (JMAK) model for grain growth and dynamic recrystallization was developed, and the kinetics were determined. Critical and peak strains were identified, and coefficients for the microstructure evolution models were determined using linear regression. The analysis of S-curves revealed that decreasing the temperature delays the onset of recrystallization and that the strain rate significantly effects the recrystallization rate at lower temperatures. Constitutive modeling and determination of the Zener–Hollomon parameter allowed the determination of the influence of hot processing conditions on material behavior during deformation. Microstructure analysis showed that, at higher deformation temperatures, grain growth occurs simultaneously with grain refinement. Coefficients for the JMAK model were implemented in QForm software. Simulation results were compared with experimental measurements exhibited good arrangement, which confirms the accuracy of the JMAK model in predicting the microstructure evolution. This study demonstrated how microstructure evolution modeling and FEM simulations combined can be used to predict the grain size of 80MnSi8-6 steel after hot deformation.
Existence of Optimal Flat Ribbons
Authors: Blatt Simon , Raffaelli Matteo 
Published: May 2024

AbstractWe apply the direct method of the calculus of variations to show that any nonplanar Frenet curve in $${\mathbb {R}}^{3}$$

R

3

can be extended to an infinitely narrow flat ribbon having minimal bending energy. We also show that, in general, minimizers are not free of planar points, yet such points must be isolated under the mild condition that the torsion does not vanish.
Bestatin attenuates breast cancer stemness by targeting puromycin-sensitive aminopeptidase
Authors: Ma Yan , Yang Xintong , Pan Pengge , Yang Jinyi , Wu Xiaojuan , Wang Danhan , Gao Hui 
Published: May 2024

AbstractBreast cancer is a prevalent malignant tumor among women with an increasing incidence rate annually. Breast cancer stem cells (BCSCs) are integral in impeding tumor advancement and addressing drug resistance. Bestatin serves as an adjuvant chemotherapy, triggering apoptosis in cancer cells. In this study, the effects of bestatin on sorted BCSCs from breast cancer cell lines have been studied. Our results indicated that bestatin inhibits the migration and proliferation of breast cancer cells by reducing the stemness of BCSCs both in vitro and in vivo. Puromycin-sensitive aminopeptidase is implicated in the process through the regulation of cell cycle, resulting in heightened cell apoptosis and diminished cell proliferation of BCSCs. Our study suggest that targeting cancer stem cell may offer a promising approach in breast cancer treatment, presenting noval therapeutic strategies for patients with breast cancer.
Where is the Motivation in Motivated Numeracy?
Authors: Glüer-Pagin Kathrin , Spectre Levi 
Published: May 2024

AbstractIn a series of very influential papers, Dan Kahan argues for “the identity protective cognition thesis”: the claim that politically motivated reasoning is a major factor explaining current levels of polarization over matters of fact, especially in the US. An important part of his case consists of experimental data supporting the claim that ideological polarization is more extreme amongst more numerate individuals. In this paper, we take a close look at how precisely this “numeracy effect” is supposed to come about. Working with Kahan’s own notion of motivated reasoning, we reconstruct the mechanism that according to him produces the effect. Surprisingly, it turns out to involve plenty of motivation to reason, but no motivated reasoning. This undermines the support he takes the numeracy effect to provide for the identity protective cognition hypothesis.
Principal causes of water damage in mining roofs under giant thick topsoil–lilou coal mine
Authors: Niu Chao , Tian Qingfeng , Xiao Lele , Xue Xicheng , Zhang Ruiqing , Xu Dongjin , Luo Shoutao 
Published: May 2024

AbstractThe roof water inrush disaster induced by coal mining is becoming a vital bottleneck restricting mine safety. To accurately predict the water inrush position of the coal seam roof sandstone aquifer and accurately prevent and control it, this paper takes Lilou Coal Mine in Juye Coalfield as an example. Based on the comprehensive analysis of hydrogeological data, drilling data, and geophysiological data, this paper examines the water richness of the roof aquifer, the water insulation and geological structure, and the fracture development characteristics of the roof aquifer. Starting from the general side, nine factors, including fault strength index, tectonic intersection point, tip extinguishing point, development height of water conduction crack zone, roof sandstone aquifer thickness, aquifer drilling unit inrush, geophysical prospecting water-rich anomaly area, roof key layer thickness, roof aquifer thickness, brittle plastic rock thickness ratio, etc., form the roof plate roof. The main control factors for water inrush are deeply discussed. Through the spatial analysis function of GIS, unique drawings of different evaluation indicators are drawn, and the data are normalized. Combined with the AHP hierarchical analysis method, the corresponding weight is determined. Finally, a comprehensive water inrush risk assessment map of the roof of coal seam 3 in Lilou Coal Mine is obtained. Through the verification of the coal mine water inrush survey ledger over the years, it has been found that the evaluation results of the coal seam roof water inrush model are consistent with the actual situation. The evaluation results are reasonable and accurate, which can provide a reference basis for coal seam mining and water damage prevention and control in the future.
MetaConfigurator: A User-Friendly Tool for Editing Structured Data Files
Authors: Neubauer Felix , Bredl Paul , Xu Minye , Patel Keyuriben , Pleiss Jürgen , Uekermann Benjamin 
Published: May 2024

AbstractTextual formats to structure data, such as JSON, XML, and YAML, are widely used for structuring data in various domains, from configuration files to research data. However, manually editing data in these formats can be complex and time-consuming. Graphical user interfaces (GUIs) can significantly reduce manual efforts and assist the user in editing the files, but developing a file-format-specific GUI requires substantial development and maintenance efforts. To address this challenge, we introduce MetaConfigurator: an open-source web application that generates its GUI depending on a given schema. Our approach differs from other schema-to-UI approaches in three key ways: 1) It offers a unified view that combines the benefits of both GUIs and text editors, 2) it enables schema editing within the same tool, and 3) it supports advanced schema features, including conditions and constraints. In this paper, we discuss the design and implementation of MetaConfigurator, backed by insights from a small-scale qualitative user study. The results indicate the effectiveness of our approach in retrieving information from data and schemas and in editing them.
Weighted estimates of commutators of singular operators in generalized Morrey spaces beyond Muckenhoupt range and applications
Authors: Samko Natasha 
Published: May 2024

AbstractFor a certain class of radial weights, we prove weighted norm estimates for commutators with BMO coefficients of singular operators in local generalized Morrey spaces. As a consequence of these estimates, we obtain norm inequalities for such commutators in the generalized Stummel-Morrey spaces. We also discuss a.e. well-posedness of singular operators and their commutators on weighted generalized Morrey spaces. The obtained estimates are applied to prove interior regularity for solutions of elliptic PDEs in the frameworks of the corresponding weighted Sobolev spaces based on the local generalized Morrey spaces or Stummel-Morrey spaces. To this end also conditions for the applicability of the representation formula, for the second-order derivatives of solutions to elliptic PDEs, are found for the case of such weighted spaces. In both results, for commutators and applications, we admit weights beyond the Muckenhoupt range.
Effect mechanism of seepage force on the hydraulic fracture propagation
Authors: Wang Haiyang , Zhou Desheng , Zou Yi , Zheng Peng 
Published: May 2024

AbstractThe flow of fluid through the porous matrix of a reservoir rock applies a seepage force to the solid rock matrix. Although the seepage force exerted by fluid flow through the porous matrix of a reservoir rock has a notable influence on rock deformation and failure, its effect on hydraulic fracture (HF) propagation remains ambiguous. Therefore, in this study, we improved a traditional fluid–solid coupling method by incorporating the role of seepage force during the fracturing fluid seepage, using the discrete element method. First, we validated the simulation results of the improved method by comparing them with an analytical solution of the seepage force and published experimental results. Next, we conducted numerical simulations in both homogeneous and heterogeneous sandstone formations to investigate the influence of seepage force on HF propagation. Our results indicate that fluid viscosity has a greater impact on the magnitude and extent of seepage force compared to injection rate, and that lower viscosity and injection rate correspond to shorter hydraulic fracture lengths. Furthermore, seepage force influences the direction of HF propagation, causing HFs to deflect towards the side of the reservoir with weaker cementation and higher permeability.
Identifying Station Importance in Urban Rail Transit Networks Using a Combination of Centrality and Time Reliability Measures: A Case Study in Beijing, China
Authors: Xu Xiaohan , Shalaby Amer , Feng Qian , Huang Ailing 
Published: May 2024

AbstractTime reliability (TR) is a critical factor that affects the efficiency and service quality of the urban rail transit network (URTN). However, previous studies have not incorporated TR into the evaluation of URTN station importance, focusing instead on basic centrality measures. Therefore, this paper proposes a new metric of station-based TR for evaluating and ranking URTN station importance. The new metric in combination with traditional centrality measures was used by the weighted Technique for Order of Preference by Similarity to Ideal Solution (weighted TOPSIS) to identify the combined significance level of individual URTN station importance and rank them accordingly. To investigate the performance of this method, we exploit deliberate attacks on the top-ranked stations through different methods. A case study of Beijing’s URTN during the morning peak hour showed that the proposed method is generally a better indicator for identifying station importance in maintaining network connectivity. The case study also demonstrated the feasibility and validity of the model. This study can provide recommendations for the planning and operation of rail transit systems and can inform the effective design of station protection strategies.
Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway
Authors: Wang Zijia , Guo Rui , Zou Linmu , Li Tie , Yao Xiangming 
Published: May 2024

AbstractA comprehensive understanding of the multifaceted ramifications of the coronavirus disease 2019 (COVID-19) on transit ridership is imperative for the optimization of judicious traffic management policies. The intricate influences of this pandemic exhibit a high degree of complexity, dynamically evolving across spatial and temporal dimensions. At present, a nuanced understanding remains elusive regarding whether disparate influencing factors govern inbound and outbound passenger flows. This study propels the discourse forward by introducing a methodological synthesis that integrates time series anomaly detection, impact inference, and spatiotemporal analysis. This amalgamation establishes an analytical framework instrumental in elucidating the spatiotemporal heterogeneity intrinsic to individual impact events, grounded in extensive time series data. The resulting framework facilitates a nuanced delineation, affording a more precise extraction of the COVID-19 impact on subway ridership. Empirical findings derived from the daily trip data of the Beijing subway in 2020 substantiate the existence of conspicuous spatiotemporal variability in the determinants influencing relative shifts in inbound and outbound ridership. Notably, stations situated in high-risk areas manifest a conspicuous absence of correlation with outbound trips, exhibiting a discernibly negative impact solely on inbound trips. Conversely, stations servicing residential and enterprise locales demonstrate resilience, evincing an absence of significant perturbation induced by the outbreak.