bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of an inclined magnetic field on unsteady mixed convective stagnation point flow over a permeable stretching sheet with radiative heat transfer
Authors: Chen Haibo , Israr Ur Rehman M , Katbar Nek Muhammad , Hamid Aamir , Duraihem Faisal Z , Qi Haitao 
Published: August 2023

Abstract
In this study, we analyzed the time-dependent, 2D, inclined magnetohydrodynamics mixed convection stagnating point flow of nanoparticle toward a permeable stretchable surface with radiative heat effect. Four different types of water-based nanomaterials, namely titanium dioxide

T
i

O

2

,

copper

C
u

,

aluminum oxide

A

l

2

O

3

,

and copper oxide

C
u
O

are analyzed in this investigation. Numerous engineering disciplines, including energy systems, material processing, thermal management, and environmental engineering, can benefit greatly from research in mixed convection, MHD, and nanofluids. The boundary layer representations of the dominating partial differential equations PDEs are converted into strong nonlinear ordinary differential equations ODEs utilizing similarities approach. The ODEs are computed numerically employing 4th order Runge–Kutta methodology-based shooting scheme. Few special situations, a remarkable alignment is determined between the present study and the outcomes obtained in the existing research. The impact of numerous pertinent variables on the prominent quantities such as velocity, temperature and concentration distributions, drag friction coefficient and heat transport are demonstrated graphically. It is noticed that the velocity and thermal curve decrease as the nanoparticle volume friction factor increases. Moreover, it is analyzed that higher values of nanoparticle concentration diminishes the velocity and temperature distributions.
Entropy disorder and quantum correlations in two Unruh-deWitt detectors uniformly accelerating and interacting with a massless scalar field
Authors: Elghaayda Samira , Mansour Mostafa 
Published: August 2023

Abstract
This investigation focuses on studying the dynamics of entropy disorder and quantum correlations between two detectors interacting with a scalar field in a four-dimensional Minkowski space-time using the Unruh-deWitt model. The aim is to gain insights into the evolution of quantum resources in uniformly accelerated detectors that interact with a massless scalar field. To achieve this, useful metrics such as local quantum Fisher information (LQFI), quantum consonance, and linear entropy are employed to analyze the quantum correlations and entropy disorder. The results indicate that the quantum correlations are heavily reliant on the choice of the initial state of the detectors. Interestingly, the quantum correlations exhibit a surprising resurgence as the Unruh temperature increases for specific initial state parameters. However, for other values, the Unruh temperature takes over and leads to a monotonic decrease in the quantum correlations. In addition, the degree of disorder is observed to increase as the Unruh temperature increases. Furthermore, the investigation delves into how the energy spacing of the detector affects quantum correlations across various initial state parameters. Further elucidating the behavior of quantum resources in curved space-time, we demonstrate that some initial state parameters can cause sudden changes in correlation measures as a function of energy spacing. These results highlight the relevance of choosing adequate initial state parameters, as they have a significant impact on the variation of quantum resources in two Unruh-deWitt detectors.
The observed number counts in luminosity distance space
Authors: Fonseca José , Zazzera Stefano , Baker Tessa , Clarkson Chris 
Published: August 2023

Abstract
Next generation surveys will provide us with an unprecedented number of detections of supernovae Type Ia and gravitational wave merger events. Cross-correlations of such objects offer novel and powerful insights into the large-scale distribution of matter in the universe. Both of these sources carry information on their luminosity distance, but remain uninformative about their redshifts; hence their clustering analyses and cross-correlations need to be carried out in luminosity distance space, as opposed to redshift space. In this paper, we calculate the full expression for the number count fluctuation in terms of a perturbation to the observed luminosity distance. We find the expression to differ significantly from the one commonly used in redshift space. Furthermore, we present a comparison of the
number count angular power spectra between luminosity distance and redshift spaces. We see a wide divergence between the two at large scales, and we note that lensing is the main contribution to such differences. On such scales and at higher redshifts the difference between the angular power spectra in luminosity distance and redshift spaces can be roughly 50%.
We also investigate cross-correlating different redshift bins using different tracers, i.e. one in luminosity distance space and one in redshift, simulating the cross-correlation angular power spectrum between background gravitational waves/supernovae and foreground galaxies. Finally, we show that in a cosmic variance limited survey, the relativistic corrections to the density-only term ought to be included.
Prospects for detecting anisotropies and polarization of the stochastic gravitational wave background with ground-based detectors
Authors: Mentasti G. , Contaldi C.R. , Peloso M. 
Published: August 2023

AbstractWe build an analytical framework to study the observability of anisotropies and a net chiral polarization of the Stochastic Gravitational Wave Background (SGWB) with a generic network of ground-based detectors. We apply this formalism to perform a Fisher forecast of the performance of a network consisting of the current interferometers (LIGO, Virgo and KAGRA) and planned third-generation ones, such as the Einstein Telescope and Cosmic Explorer. Our results yield limits on the observability of anisotropic modes, spanning across noise- and signal-dominated regimes. We find that if the isotropic component of the SGWB has an amplitude close to the current limit, third-generation interferometers with an observation time of 10 years can measure multipoles (in a spherical harmonic expansion) up toℓ= 8 with 𝒪(10-3– 10-2) accuracy relative to the isotropic component, and an 𝒪(10-3) amount of net polarization. For weaker signals, the accuracy worsens as roughly the inverse of the SGWB amplitude.
Multi-scalar theories of gravity with direct matter couplings and their parametrized post-Newtonian parameters
Authors: Lacombe Osmin , Mukohyama Shinji 
Published: August 2023

Abstract
We study theories of gravity including, in addition to the metric, several scalar fields in the gravitational sector. The particularity of this work is that we allow for direct couplings between these gravitating scalars and the matter sector, which can generally be different for the source and the probe of gravity, in addition to the universal interactions generated by the Jordan frame metric. The weak gravity regime of this theory, which would describe solar-system experiments, is studied using the parametrized post-Newtonian (PPN) formalism. We derive the expression of the ten parameters of this formalism. Among them, ζ
3 and ζ
4 are modified with respect to their values in the theories without direct couplings. This fact holds even after eliminating the direct couplings between the gravitating scalars and the energy density of the source, by redefinition of the Jordan frame. All other PPN parameters are insensitive to the direct couplings once in the correctly identified Jordan frame. When direct couplings are different for the source and the probe of gravity, they make non-relativistic probes deviate from the geodesics of the PPN metric in this frame, already at Newtonian order. Such
couplings would thus be directly
detectable and would have been excluded by experiments.
This shows that, contrary to the claims in the recent literature, it is impossible to screen the presence of gravitating scalars relying only on a curved target space and direct couplings to matter.
Quantum Zeno effect in a classical viscous medium
Authors: Sazonov S V 
Published: August 2023

Abstract
Based on the formalism of quasi-classical canonical quantization, the translational motion of a particle in a viscous medium is studied. The case is considered when, in addition to the resistance forces, an external conservative force acts on the particle. It is shown that due to the forces of viscous resistance of the medium, the initial coherent state of the particle does not decay. This behavior of the wave function is accompanied by a partial suppression of the quantum properties of the particle. In this case, a viscous medium should be considered as a classical device that continuously measures the state of a particle. Therefore, the stability of the coherent state of a particle can be interpreted as a manifestation of the quantum Zeno effect.
Functional brain connectivity indexes derived from low-density EEG of pre-implanted patients as VNS outcome predictors
Authors: Germany Enrique , Teixeira Igor , Danthine Venethia , Santalucia Roberto , Cakiroglu Inci , Torres Andres , Verleysen Michele , Delbeke Jean , Nonclercq Antoine , Tahry Riëm El 
Published: August 2023

Abstract

Objective. In 1/3 of patients, anti-seizure medications may be insufficient, and resective surgery may be offered whenever the seizure onset is localized and situated in a non-eloquent brain region. When surgery is not feasible or fails, vagus nerve stimulation (VNS) therapy can be used as an add-on treatment to reduce seizure frequency and/or severity. However, screening tools or methods for predicting patient response to VNS and avoiding unnecessary implantation are unavailable, and confident biomarkers of clinical efficacy are unclear. Approach. To predict the response of patients to VNS, functional brain connectivity measures in combination with graph measures have been primarily used with respect to imaging techniques such as functional magnetic resonance imaging, but connectivity graph-based analysis based on electrophysiological signals such as electroencephalogram, have been barely explored. Although the study of the influence of VNS on functional connectivity is not new, this work is distinguished by using preimplantation low-density EEG data to analyze discriminative measures between responders and non-responder patients using functional connectivity and graph theory metrics. Main results. By calculating five functional brain connectivity indexes per frequency band upon partial directed coherence and direct transform function connectivity matrices in a population of 37 refractory epilepsy patients, we found significant differences (p < 0.05) between the global efficiency, average clustering coefficient, and modularity of responders and non-responders using the Mann–Whitney U test with Benjamini–Hochberg correction procedure and use of a false discovery rate of 5%. Significance. Our results indicate that these measures may potentially be used as biomarkers to predict responsiveness to VNS therapy.
Robust neural tracking of linguistic speech representations using a convolutional neural network
Authors: Puffay Corentin , Vanthornhout Jonas , Gillis Marlies , Accou Bernd , Van hamme Hugo , Francart Tom 
Published: August 2023

Abstract

Objective. When listening to continuous speech, populations of neurons in the brain track different features of the signal. Neural tracking can be measured by relating the electroencephalography (EEG) and the speech signal. Recent studies have shown a significant contribution of linguistic features over acoustic neural tracking using linear models. However, linear models cannot model the nonlinear dynamics of the brain. To overcome this, we use a convolutional neural network (CNN) that relates EEG to linguistic features using phoneme or word onsets as a control and has the capacity to model non-linear relations. Approach. We integrate phoneme- and word-based linguistic features (phoneme surprisal, cohort entropy (CE), word surprisal (WS) and word frequency (WF)) in our nonlinear CNN model and investigate if they carry additional information on top of lexical features (phoneme and word onsets). We then compare the performance of our nonlinear CNN with that of a linear encoder and a linearized CNN. Main results. For the non-linear CNN, we found a significant contribution of CE over phoneme onsets and of WS and WF over word onsets. Moreover, the non-linear CNN outperformed the linear baselines. Significance. Measuring coding of linguistic features in the brain is important for auditory neuroscience research and applications that involve objectively measuring speech understanding. With linear models, this is measurable, but the effects are very small. The proposed non-linear CNN model yields larger differences between linguistic and lexical models and, therefore, could show effects that would otherwise be unmeasurable and may, in the future, lead to improved within-subject measures and shorter recordings.
Study on the catalytic performance of a new double-shell composite energetic material
Authors: Fu Yu , Ba Shuhong , Feng Lu , Xia Ping , Sun Wendong , Zhang Bo , Zhao Yuanyu , Tian Jianing , Wang Fei 
Published: August 2023

Abstract
To improve the pyrolysis of ammonium perchlorate (AP), the effects of P-N junction metal oxides with different coating sequences on thermal decomposition were compared. AP / ZnO / ZnCo2O4 double-shell composite energetic materials and AP / ZnCo2O4 / ZnO double-shell composite energetic materials were manufactured by the liquid phase deposition method. XRD, FT-IR, and TEM characterize the structure of samples. The self-catalytic properties of double-shell composite energetic materials were investigated by differential thermal analysis (DTA). XRD, FT-IR, and TEM results show the formation of a P-N junction. The double-shell composite energetic material was successfully prepared and had a good coating effect. DTA results show the Pyrolytic peak of AP / ZnO / ZnCo2O4 double-shell composite energetic materials has been drowned to 262.85 °C. The decomposition peak of AP / ZnCo2O4 / ZnO double-shell composite energetic material is 272.31 °C, and the difference between the two is obvious. The coating of N-type metal semiconductor material can greatly improve the autocatalytic performance of the material, giving a new idea for designing AP catalysts.
Preparation of MIL-101(Fe, Al)/MoS2 and its Adsorption of Tetracycline Hydrochloride
Authors: Li Yue , Liu Zhuannian , Zhou Rui 
Published: August 2023

Abstract
A new adsorbent material MIL-101(Fe, Al)/MoS2 was composed by a solvothermal pathway for the adsorption of tetracycline hydrochloride simulated wastewater. The material was analyzed through XRD. Influences of adsorption time, initialization concentration, and pH on adsorptive effect were explored. It turned out that MIL-101(Fe, Al)/MoS2 on tetracycline hydrochloride adsorption reached equilibrium at approximately 180 min and the adsorptive amount of MIL-101(Fe, Al)/MoS2 for tetracycline hydrochloride was 118.96 mg/g at adsorption equilibrium. In contrast to MIL-101(Fe, Al), the adsorptive effect of MIL-101(Fe, Al)/MoS2 composite material on TC was substantially improved. The adsorptive process was more in accord with the Lagergren second-order kinetic model and Langmuir adsorption isotherm model. Besides, the TC adsorption on MIL-101(Fe, Al)/MoS2 was better under neutral conditions.
CoNiMn-Layered Double Hydroxide/Ti3C2TxNanosheet Composites for Enhanced Pseudocapacitive Performance
Authors: Fang Junyu , Wen Da , Zhang Zheng , Zheng Dan , Meng Aiyun , Su Yaorong , Zhou Shuang 
Published: August 2023

AbstractLayered double hydroxides (LDHs) are considered prospective pseudocapacitors materials owing to their large theoretical capacitance and excellent redox capability. However, the low electrical conductivity and severe aggregation still hinder their practical applications. Herein, we synthesize CoNiMn-LDH/Ti3C2Txnanosheet composites, of which Ti3C2Txnanosheets enhance the electrical conductivity and provide a large surface area for LDH anchoring. Using metal-organic frameworks (MOFs) as sacrificial templates, the CoNiMn-LDHs are synthesized on the surface of Ti3C2Txnanosheets via ion exchange, and the original organometallic hollow frameworks of the MOFs can be well retained. The as-prepared CoNiMn-LDH/Ti3C2Txnanosheet composite delivers the largest specific capacitance as high as 1035 F g−1at 1 A g−1and retains 73.6 % of the capacitance at 10 A g−1. Moreover, the material of the electrode exhibits superior capacitance retention of 95.6 % with 5,000 charging/discharging cycles. This study might provide useful guidance for designing and constructing high-performance pseudocapacitive materials.
Constructions and applications of MXene-based porous films
Authors: Jiang Yuchen , Lu Zan , Xin Binjie , Zhang Zhihao , Gao Di 
Published: August 2023

Abstract
MXene-based films (MBFs) have a graphic structure composed of a horizontal arrangement of MXene thin tablets and/or layer interval parts. It usually has high electrode density, but high-rate charge transfer is limited, and ions are transmitted to oxidize the activity site. To overcome these problems, it is necessary to convert the plane configuration of the MXene membrane into an interactive structure with an open and porous architecture. In this paper, the first discovered and most widely studied Ti3C2Tx MXene materials are used as an example to introduce the unique construction methods of MXene-based porous film structures, structure-effect relationships, and the applications: supercapacitor, terahertz electromagnetic shielding, and flexible sensing, which show significantly improved performance.
Study on SH wave propagation in the elastic metamaterial layer
Authors: Wu Zhiguang , Shu Haisheng 
Published: August 2023

Abstract
Elastic metamaterial (EM) is a new type of structured material mainly built with repeatedly arranged sub-wavelength unit cells. EMs have shown many surprisingly new dynamic properties and provided us with a new idea for elastic wave/vibration control. Although a large amount of work has been conducted by researchers, wave behaviors in some important waveguides constructed with EM remain for further investigation. In this work, SH (shearing horizontal) wave propagating in the EM layer is studied. The effects of the abnormal properties of effective medium parameters (EMPs) on the SH wave dispersion features are discussed by comparison with a classical elastic layer. Our study shows that the behavior of EMPs can significantly influence the dispersion properties of SH wave propagation within the EM layer. Moreover, no SH surface wave mode could be supported near the stress-free surface of the EM layer, and the SH wave traveling in the EM layer must be composed of bulk wave components, and hence it will be blocked completely in those EM layers with imaginary effective transverse wave velocity which can be realized by single negative effective density or shear modulus. This work may serve as a theoretical reference for relevant metamaterial-based elastic wave/vibration control.
Study on the effect of tempering on the impact abrasive wear performance of 45Si2MnCr2Mo ultra-high strength steel
Authors: Yang Ming , Chen Xiaohua , Wang Zidong , Pan Peng 
Published: August 2023

Abstract
In this paper, three-body impact abrasive wear tests of 45Si2MnCr2Mo ultra-high strength steel (UHSS) at different tempering temperatures were carried out by using the MLD-10 impact abrasive wear machine. The effects of different tempering temperatures on the wear weight loss and the depth of the hardened layer of UHSS were investigated. The results show that the weight reduction rate of the steels tempered at 150 and 220 °C decreases at first and then increases with time, but the steels tempered at 290 and 360 °C gradually increase with time. The surface and subsurface areas of UHSS are strengthened by work hardening after wear. The wear performance of UHSS should consider the change of weight reduction rate with time rather than just considering short-term weight loss. UHSS tempered at 150 °C has the best comprehensive surface hardness, hardening percentage, and effective hardened layer depth, and the wear process is more uniform.
Mechanical Property of New Cast High Manganese Steel and Its Application
Authors: Zhou Liyan , Sun Wei 
Published: August 2023

Abstract
Based on the traditional Mn13, the new cast high manganese steel was prepared by adding different Cr, Mo, B, and Re elements in the composition. Its microstructure, mechanical properties, and wear quantity of surface were investigated. Results show that after water toughening, the pearlite dissolved and a few linear carbides were kept at the boundary of grains in the microstructure. All of the hardness was more than 220 HB, impact toughness reached or exceeded 140 J/cm2, and ultimate tensile strength was 753 MPa. The lowest abrasive wear quantity was 0.02 g. The newly cast high manganese steel was applied to produce breaking teeth casting of the crusher. Velocity and temperature fields were simulated to predict some defects during the mold filling and solidification process with finite element software for 4 foundry processes. The optimal technological parameter was adapted to make breaking teeth components.
Resistance spot welding properties of galvanized DP590 duplex steel and aluminum alloy A6061-T6
Authors: Wang Chunliang , Feng Qiaobo , Wang Jie , Yu Nie , Lei Haiyang , Zhou Guoyan 
Published: August 2023

Abstract
A6061-T6 aluminum alloy and DP590 duplex steel with a galvanized layer for resistance spot welding, the investigation of welding current on the A6061-T6 aluminum alloy / DP590 steel joint interface intermetallic compound and the effect of shear resistance. The results found that when the welding current increased, the intermetallic compound layer first became thicker and thinner, while the joint shear force always increased, and when the welding current reached 13 kA, the shear force was 4.0 kN.
Preparation of porous iridium-ruthenium-based acidic water oxidation catalyst by ascorbic acid reduction and evaporation
Authors: Chen Hui , Deng Runxu , Gao Shixin , Liu Feng 
Published: August 2023

Abstract
Green hydrogen is the ultimate direction for energy development technology. Hereon, the porous materials of promoted iridium-ruthenium-based catalyst were prepared by ascorbic acid reduction and evaporation drying methods. The unsupported iridium ruthenium-based catalysts were porous structures, characterized by scanning electron microscopes (SEM). In 0.5 mol·L−1 H2SO4, the electrochemical oxygen precipitation reaction overpotential was only 251 mV at 10 mA·cm2, compared to commercial 303 mV. The polarization overpotential was not significantly reduced, after 20 000 cycles of accelerated cyclic aging experiments. The porous structure of the iridium-ruthenium-based catalysts showed higher catalytic activity for oxygen precipitation than the commercial IrO2(ZrO2) catalysts. Porous materials could improve the activity of catalysts, which provides a good research idea for the synthesis of electrocatalysts.