bluuebunny/crossref_metadata_2025_split huggingface dataset:
Helminth diversity and seasonality of Angiostrongylus cantonensis in hedgehogs from Mallorca
Authors: Delgado-Serra Sofia , Sola Jessica , Puig Riera Miquel , Jaume-Ramis Sebastià , Sanz-Aguilar Ana , Paredes-Esquivel Claudia 
Published: November 2024

Sentinel surveillance plays a critical role in monitoring pathogen circulation, assessing potential threats for species conservation, and evaluating the risk of spillover to human populations. This study provides a comprehensive exploration of helminth parasites in the Mediterranean-distributed hedgehog species Atelerix algirus in Mallorca, Balearic Islands. Using an integrated approach that combines necropsies and morphological and molecular identifications using the COI gene, we identified 11 helminth taxa in 135 hedgehogs, representing half of those that died at the local wildlife hospital in Mallorca between 2019 and 2022. We report an overall A. cantonensis prevalence of 11.5% and confirm the first case of a subclinical neuroangiostrongyliasis infection in a wildlife host. Infection prevalences over the year revealed that only two species, the nematode A. cantonensis and the cestode Mathevotaenia sp., had a seasonal pattern, with most A. cantonensis cases occurring in autumn and, to a lesser extent, Mathevotaenia sp. cases in winter. This pattern is probably due to the higher abundance and greater activity of snails and slugs (intermediate hosts) during these seasons, with important implications for public health and strategies for prevention of neuroangiostrongyliasis. Other key findings include a high prevalence (88.1%) of the lungworm Crenosoma striatum and detection of the acanthocephalan Moniliformis saudi for the first time in A. algirus. We anticipate that our study will facilitate surveillance efforts and clarify species identities in future studies. Given the lethal effects of A. cantonensis infection in hedgehogs, further studies are needed to evaluate the threat this parasite represents to European wildlife.
Intergovernmental organizations and entrepreneurship: understanding the relationship between the supranational, national, and individual level
Authors: Moore Elizabeth M. , Brandl Kristin , Dau Luis Alfonso 
Published: November 2024

AbstractIntergovernmental organizations (IGOs), such as the World Trade Organization, the United Nations Trade and Development and the World Bank, promote stability, security and development for member states and their citizens via supranational institutional influences. However, their influence on individuals, especially their entrepreneurial business activities, is unclear. As policymakers decide when more (or less) IGO involvement best serves their countries and citizens, we must better understand the connection of the supranational, national, and individual levels. Thus, we study how IGO membership influences entrepreneurial opportunities and focus on two activities that impact a country’s economy differently: formal and informal entrepreneurship. Moreover, we identify how national institutional ecologies build the bridge between the supranational and the individual level and mediate the relationships. Using a sample of 68 countries, their entrepreneurial environment, and their connection to IGOs, we find that IGO memberships enhance opportunities for entrepreneurship. Moreover, IGOs promote formal entrepreneurial activities while discouraging informal entrepreneurial activities, mediated by the country’s institutional ecology. We combine insights from international relations, institutional theory, and strategic entrepreneurship to highlight how institutions at different levels influence entrepreneurial opportunities and discuss the policy implications of our findings.
Investigation of Elaeocarpus ganitrus seed (EGs) powder as a sustainable composite biomaterial: Effects of particle size on the mechanical, frictional, and thermal properties for potential biomedical applications
Authors: Widodo Rahmat Doni , Rusiyanto Rusiyanto , Kriswanto Kriswanto , Naryanto Rizqi Fitri , Boy Alfres May , Fitriyana Deni Fajar , Siregar Januar Parlaungan , Cionita Tezara , Mamat Rizalman Bin , Jaafar Jamiluddin , Ammarullah Muhammad Imam 
Published: November 2024

This study explores the potential of Elaeocarpus ganitrus seed (EGs) powder as a sustainable composite biomaterial, focusing on its particle size effects on the mechanical, frictional, and thermal properties of composite materials for potential biomedical applications such as prosthetics and implants. Composite specimens were produced using the compression hot molding method, utilizing EG powder particles of varying sizes (120, 140, and 200-mesh sieving). The influence of EG powder particle size on key properties was systematically investigated. The findings reveal that reducing the particle size of EGs leads to a decrease in density and hardness of the composite, with the largest particle size (BP1) resulting in the highest density and hardness. Friction coefficient measurements indicated suitability for biomedical applications where surface interaction and wear resistance are critical, such as joint prosthetics. Thermal analysis showed that BP1 exhibited superior thermal stability, with a maximum decomposition temperature (Tmax) exceeding 375 °C. Differential scanning calorimetry identified significant differences in glass transition temperature (Tg) and crystallization temperature (Tc) across specimens. The composites demonstrated exceptional thermal performance, surpassing previous benchmarks for biomaterials in high-temperature environments. The mechanical and thermal characteristics of Specimen BP1—2.725 g/cm3 density, 74 Shore D hardness, 0.159 coefficient of friction, 93.3% total residual, 378.14 °C Tmax, 426.25 °C Tc, and 376.87 °C Tg—suggest its potential for biomedical applications requiring durability and thermal resilience, such as in orthopedic devices and tissue engineering scaffolds.
DFT based analysis of pressure driven mechanical, opto-electronic, and thermoelectric properties in lead-free InGeX3 (X = Cl, Br) perovskites for solar energy applications
Authors: Hasan Md. Ratul , Apon Imtiaz Ahamed , Islam Md. Mafidul , Azad Asab Uzzaman , Aminuzzman Md. , Haque Md. Salman 
Published: November 2024

Lead halide perovskites have distinct physiochemical properties and demonstrate remarkable power conversion efficiency. We used density functional theory to investigate the electrical, optical, structural, and elastic features of non-toxic InGeCl3 and InGeBr3 halide perovskite compounds at different hydrostatic pressures, from 0 to 8 GPa. InGeCl3 and InGeBr3 halide perovskite exhibit noteworthy changes in their electronic and optical properties under different pressure conditions. When the pressure is 0 GPa, the direct bandgap for InGeCl3 is 0.886 eV, and for InGeBr3 it is 0.536 eV. This gap decreases as the pressure rises. Specifically, InGeBr3 exhibits conducting properties at 3 GPa due to its larger bromine atoms, whereas InGeCl3 requires a higher pressure of 6 GPa to achieve similar conductivity. This type of nature suggests that larger halogen atoms reduce the bandgap more effectively under pressure. As the pressure increases, the behavior of the lattice constant and unit cell volume decreases constantly, from 5.257 and 145.267 Å3 for InGeCl3 to 5.509 and 167.168 Å3 for InGeBr3 at 0 GPa for both compounds. When subjected to pressure, the bonds between In-X and Ge-X atoms experience compression, leading to a decrease in surface area and an enhancement in mechanical strength. Overall, the compounds exhibit characteristics of semiconductors, as evidenced by evaluations of their electrical properties. As pressure increases, the bandgap decreases linearly, narrowing until it aligns with the Fermi level, leading to a transition toward a metallic state. In addition, the pressure induces a rise in the electrical density of states around the Fermi level by displacing valence band electrons in an upward direction. As pressure increases, the electron density peak shifts to lower photon energy values. Notably, InGeCl3 exhibits a more pronounced shift in this peak compared to InGeBr3, indicating greater sensitivity to pressure. In terms of optical properties, both compounds demonstrate significant absorption coefficients in the visible region, suggesting their potential suitability for photovoltaic applications. The dielectric constant, absorption, and reflectivity values all increase gradually as pressure increases. The absorption spectra shift toward longer wavelengths. Furthermore, the mechanical properties analysis reveals that all InGeX3 compounds are mechanically stable up to 8 GPa pressure.
The contribution of methyl groups to electron spin decoherence of nitroxides in glassy matrices
Authors: Jahn Samuel M. , Stowell Rachelle K. , Stoll Stefan 
Published: November 2024

Long electron spin coherence lifetimes are crucial for high sensitivity and resolution in many pulse electron paramagnetic resonance (EPR) experiments aimed at measuring hyperfine and dipolar couplings, as well as in potential quantum sensing applications of molecular spin qubits. In immobilized systems, methyl groups contribute significantly to electron spin decoherence as a result of methyl torsional quantum tunneling. We examine the electron spin decoherence dynamics of the nitroxide radical 2,2,6,6-tetramethylpiperidin-1-oxyl (TEMPO) in both a methyl-free solvent and a methyl-containing solvent at cryogenic temperature. We model nitroxide and solvent methyl effects on decoherence using cluster correlation expansion (CCE) simulations extended to include methyl tunneling and compare the calculations to experimental data. We show that by using the methyl tunneling frequency as a fit parameter, experimental Hahn echo decays can be reproduced fairly well, allowing structural properties to be investigated in silico. In addition, we examine the Hahn echo of a hypothetical system with an unpaired electron and a single methyl to determine the effect of geometric configuration on methyl-driven electron spin decoherence. The simulations show that a methyl group contributes the most to electron spin decoherence if it is located between 2.5 and 6–7 Å from the electron spin, with its orientation being of secondary importance.
The Penrose limit of the Weyl double copy
Authors: Chawla Samarth , Fransen Kwinten , Keeler Cynthia 
Published: November 2024

Abstract
We embed the Penrose limit into the Weyl classical double copy. Thereby, we provide a lift of the double copy properties of plane wave spacetimes into black hole geometries and we open a novel avenue towards taking the classical double copy beyond statements about algebraically special backgrounds. In particular, the Penrose limit, viewed as the leading order Fermi coordinate expansion around a null geodesic, complements approaches leveraging asymptotic flatness such as the asymptotic Weyl double copy. Along the way, we show how our embedding of the Penrose limit within the Weyl double copy naturally fixes the functional ambiguity in the double copy for Petrov type N spacetimes. We also highlight the utility of a spinorial approach to the Penrose limit. In particular, we use this spinorial approach to derive a simple analytical expression for arbitrary Penrose limits of four-dimensional, vacuum type D spacetimes.
An interesting class of exact solutions to Binet’s equation, with references to Newton’s and Einstein’s theories of gravity
Authors: Selg Matti 
Published: November 2024

Abstract
To adequately describe the motion of a particle in a central force field, one has to specify the apsidal angle (α). The particle’s trajectory can only be truly periodic (closed), if α/π is a rational number. For example, if F ∼ 1/r
2 then α = π, and the trajectory is an ellipse. This is the simplest case when the trajectory equation (Binet’s equation) is exactly solvable. In this article, bounded motion in a two-component central potential field V(r) = −a
1/r − a
2/r
2 will be examined and illustrated. This case is more complex, but the corresponding Binet’s equation is still exactly solvable. Moreover, the perturbational solution to the relativistic trajectory equation is, in fact, the exact solution for a force field of the same type. It means that the relativistic force F ∼ r
−4 is formally replaced with an effective F ∼ r
−3 force. As will be shown, this differently interpretable solution gives a very accurate prediction to the anomalous shift of Mercury’s perihelion.
Valley manipulation by external fields in two-dimensional materials and their hybrid systems
Authors: Shao Ya-Ping , Li Yun-Qin , Zheng Jun-Ding , Tan Yi-Fan , Guan Zhao , Zhong Ni , Yue Fang-Yu , Tong Wen-Yi , Duan Chun-Gang 
Published: November 2024

Abstract
Investigating two-dimensional (2D) valleytronic materials opens a new chapter in physics and facilitates the emergence of pioneering technologies. Nevertheless, this nascent field faces substantial challenges, primarily attributed to the inherent issue of valley energy degeneracy and the manipulation of valley properties. To break these constraints, the application of external fields has become pivotal for both generating and manipulating the valley properties of 2D systems. This paper takes a close look at the latest progress in modulating the valley properties of 2D valleytronic materials using external fields, covering a wide array of configurations from monolayers and bilayers to intricate heterostructures. We hope that this overview will inspire more exciting discoveries and significantly propel the evolution of valleytronics within the realm of 2D material research.
Critical factors influencing electron and phonon thermal conductivity in metallic materials using first-principles calculations
Authors: Xia Yonglin , Zhang Xinyu , Wang Ao , Sheng Yufei , Xie Han , Bao Hua 
Published: November 2024

Abstract
Understanding the thermal transport of various metals is crucial for many energy-transfer applications. However, due to the complex transport mechanisms varying among different metals, current research on metallic thermal transport has been focusing on case studies of specific types of metallic materials. A general understanding of the transport mechanisms across a broad spectrum of metallic materials is still lacking. In this work, we perform first-principles calculations to determine the thermal conductivity of 40 representative metallic materials, within a range of 8–456 W mK−1. Our predicted values of electrical and thermal conductivity are in good agreement with available experimental results. Based on the data of separated electron and phonon thermal conductivity, we employ a statistical approach to examine nine factors derived from previous understandings and identify the critical factors determining these properties. For electrons, although a high electron density of states around the Fermi level implies more conductive electrons, we find it counterintuitively correlates with low electron thermal conductivity. This is attributed to the enlarged electron–phonon scattering channels induced by substantial electrons around the Fermi level. Regarding phonons, we demonstrate that among all the studied factors, Debye temperature plays the most significant role in determining the phonon thermal conductivity, despite the phonon–electron scattering being non-negligible in some transition metals. Correlation analysis suggests that Debye temperature has the highest positive correlation coefficient with phonon thermal conductivity, as it corresponds to a large phonon group velocity. Additionally, Young’s modulus is found to be closely correlated with high phonon thermal conductivity and contribution. Our findings of simple factors that closely correlate with the electron and phonon thermal conductivity provide a general understanding of various metallic materials. They may facilitate the discovery of novel materials with extremely high or low thermal conductivity, or be used as descriptors in machine learning to accurately predict the thermal conductivity of metals in the future.
Chirality reversal quantum phase transition in flat-band topological insulators
Authors: Litvinov V I 
Published: November 2024

Abstract
Quantum anomalous Hall effect generates dissipationless chiral conductive edge states in materials with large spin-orbit coupling and strong, intrinsic, or proximity magnetisation. The topological indexes of the energy bands are robust to smooth variations in the relevant parameters. Topological quantum phase transitions between states with different Chern numbers require the closing of the bulk bandgap:

|
C
|

=
1
→
C
=
1

/

2

corresponds to the transition from a topological insulator to a gapless state in

k
=
0

- quantum anomalous semimetal. Within the Bernevig-Hughes-Zhang (BHZ) model of 2D topological quantum well, this study identifies another type of topological phase transition induced by a magnetic field. The transition

C
=
±
1
→
C
=
∓
1

occurs when the monotonic Zeeman field reaches the threshold value and thus triggers the reversal of edge modes chirality. The calculated threshold depends on the width of the conduction and valence bands and is more experimentally achievable the flatter the bands. The effect of the topological phase transition

|

Δ
C

|

=
2

can be observed experimentally as a jump in magnetoresistance.
Monte Carlo uncertainty quantification method of pneumatic measurement tube frequency response
Authors: Yan Ming Hui , Li Wei Min , Chen Qin , Zhao Shao Mei , Xie Jin , Gao Wei Feng , Li Hong , Wang Qing Min 
Published: November 2024

Abstract
The pneumatic tube plays a critical role in the frequency response of the pressure measurement system, which also significantly affects the accuracy of the measurement data. This paper applied the Monte Carlo uncertainty quantification method to the pressure measurement tube system frequency response and studied the effects of four parameters, including tube length, radius, temperature, and source pressure, on uncertainty characteristics for a given tube system configuration. The reported results show the technique’s applicability, flexibility, and limitations of Guide to the Expression of Uncertainty in Measurement. It is found that the frequency response and corresponding uncertainty are not directly related to frequency but are closely related to the natural frequencies. Comparative experimental results show that the longer tube reduces the system’s natural frequencies and intensifies the phase lag. In addition, larger tube radius and source pressure result in more significant amplitude response peaks. Closed to the natural frequencies, with the increase of the parameter, the uncertainties of frequency response value and the corresponding variation range increase for tube radius and source pressure while decreasing for temperature and tube length.
Anti-disturbance adaptive cruise control method based on

H
∞

robust controller with optimized safe velocity and following time headway
Authors: Liu Yujie , Sun Qun , Liu Congzhi , Guo Hongqiang , Yue Ming 
Published: November 2024

Abstract
To alleviate driver workload, many vehicles are now equipped with adaptive cruise control (ACC) systems. However, ACC performance can significantly deteriorate in real-world conditions due to disturbances such as sensor measurement errors, system uncertainties, and modeling errors. Therefore, an innovative anti-disturbance ACC method is proposed based on

H
∞

robust controller with optimized safe velocity and following time headway to overcome the above problems. Initially, we analyze the longitudinal following characteristics that are undergoing disturbances and establish the ACC system model. Then, the optimization models for the safe velocity and the following time headway during ACC are designed. Subsequently, based on

H
∞

theory, the design criterion of the

H
∞

robust controller for ACC is established by utilizing the linear matrix inequality technique. Finally, two typical experiment scenarios are given for hardware-in-the-loop simulation to demonstrate the effectiveness of the proposed method.
Characterizing EEG signal dynamics in healthy, seizure-free, and seizure states using the chaos decision tree algorithm
Authors: Rahimi Saryazdi Ali , Nazarimehr Fahimeh , Ghassemi Farnaz , Parastesh Fatemeh , Jafari Sajad 
Published: November 2024

Abstract
Epilepsy is a multifaceted neurological condition marked by repetitive seizures that arise from irregular electrical activity in the brain. To understand this condition, a thorough examination of brain signals captured in different states is needed. In order to examine the dynamic behavior of brain signals in three different conditions: healthy, seizure-free, and seizure periods, this study uses the chaos decision tree algorithm. The findings show notable variations in these situations’ dynamics. Chaos is evident during seizure moments, showing extremely chaotic activity. The signals mostly exhibit stochastic behavior in the healthy condition, which is consistent with typical brain dynamics. It is noteworthy that an intermediate state exhibiting a blend of stochastic and chaotic signal dynamics is exhibited throughout the seizure-free time. Furthermore, the research shows that the frequency of chaotic signals rises with increasing proximity to the epileptogenic zone. These discoveries clarify the complex nature of epilepsy and offer insightful information about the dynamic properties of brain signals in various stages, aiding in improved understanding and potential diagnostic approaches.
Experimental investigation and optimization of process parameters on tensile strength of carbon coated PLA material
Authors: Maurya Nagendra Kumar , Maurya Manish , Vishnoi Mohit , Singh Vikrant , Bansal Anuj , Dhull Sachin , Saxena Ambuj 
Published: November 2024

Abstract
This study explores the effect of key process parameters on the tensile strength of carbon-coated PLA (Polylactic Acid) material using additive manufacturing. The problem addressed is the need to enhance the mechanical properties of PLA, a widely used biodegradable polymer, by optimizing process parameters to improve its tensile strength when coated with carbon. The parameters investigated include infill pattern, printing speed, layer thickness, and orientation. A response surface methodology (RSM) was employed to design the experiments, while Minitab 15 software was used to analyze the data through analysis of variance (ANOVA). The results indicate that the optimal process parameters, linear infill pattern, printing speed of 20 mm s−1, layer thickness of 150 μm, and Y-90 orientation, yield an average tensile strength of 56.4 MPa. A regression model was developed to predict tensile strength, with a high degree of accuracy (R2 = 0.97). Confirmation tests verified the model’s predictions, contributing to the development of high-performance PLA-based materials for demanding applications.