bluuebunny/crossref_metadata_2025_split huggingface dataset:
Square-package arrays for efficient trapping of terahertz waves
Authors: Zhu Xiaoqing , Wang Bo 
Published: July 2023

In this paper, a broadband metamaterial absorber consisting of the doped silicon substrate and the square array of doped silicon covered by a SU-8 layer is presented. The target structure achieves an average absorption of 94.42% in the studied frequency range (0.5–8 THz). In particular, the structure exceeds 90% absorption in the frequency range of 1.44–8 THz, which is a significant increase in bandwidth relative to reported devices of the same type. Next, the near-perfect absorption of the target structure is verified by the impedance matching principle. Furthermore, through the analysis of the electric field distribution inside the structure, the physical mechanism of its broadband absorption is investigated and explained. Finally, the impact of fluctuations in the incident angle, polarization angle, and structural parameters on the absorption efficiency is examined at length. The analysis shows that the structure has characteristics, such as polarization insensitivity, wide-angle absorption, and good process tolerance. The proposed structure is advantageous for applications in THz shielding, cloaking, sensing, and energy harvesting.
Conversation and the evolution of metacognition
Authors: Planer Ronald J. 
Published: July 2023

Abstract
While the term “metacognition” is sometimes used to refer to any form of thinking about thinking, in cognitive
psychology, it is typically reserved for thinking about one’s own thinking, as opposed to thinking about others’ thinking. How
metacognition in this more specific sense relates to other-directed mindreading is one of the main theoretical issues debated in
the literature. This article considers the idea that we make use of the same or a largely similar package of resources in
conceptually interpreting our own mind as we do in interpreting others’. I assume that a capacity for other-directed mindreading
is minimally shared with our great-ape relatives, but I argue that the architecture of this system had to be substantially
modified before it could efficiently and adaptively be turned inwards on one’s own mind. I contend that an important piece of the
overall evolutionary explanation here likely concerns selection pressures arising from the domain of conversational interaction.
Specifically, drawing on work carried out in the human interaction studies tradition (e.g., conversation analysis), I argue that
the smooth to-and-fro of conversational interaction can be seen to heavily depend on metacommunicative capacities, which, in turn,
are underpinned by metacognitive capacities. I conclude with a thumbnail sketch of an evolutionary account of the emergence of
these metacognitive capacities in the human line. Their appearance and spread – whether via genes, cultural learning, or more
likely, some combination of the two – helps to explain the transition from great-ape communication to human conversation.
Generalizations and challenges for the spacetime block-diagonalization
Authors: Bokulić Ana , Smolić Ivica 
Published: July 2023

Abstract
Discovery that gravitational field equations may coerce the spacetime metric with isometries to attain a block-diagonal form compatible with these isometries, was one of the gems built into the corpus of black hole uniqueness theorems. We revisit the geometric background of a block-diagonal metric with isometries, foliation defined by Killing vector fields and the corresponding Godbillon–Vey characteristic class. Furthermore, we analyse sufficient conditions for various matter sources, including scalar, nonlinear electromagnetic and Proca fields, that imply the isometry-compatible block-diagonal form of the metric. Finally, we generalize the theorem on the absence of null electromagnetic fields in static spacetimes to an arbitrary number of spacetime dimensions, wide class of gravitational field equations and nonlinear electromagnetic fields.
Enhanced quantum capacitance of MX4 (M = Fe, Co, Ni, Cu, and Zn; X = N, P) moieties embedded graphene: a DFT study
Authors: Rani Babita , Bubanja Vladimir , Jindal Vijay K 
Published: July 2023

Abstract
In this work, density functional theory calculations are performed to study the impact of embedding transition metal-(N/P)4 moieties in graphene on its geometric structure, electronic properties, and quantum capacitance. Enhancement of quantum capacitance of transition metal doped nitrogen/phosphorus pyridinic graphenes is observed, which is directly related to the availability of states near the Fermi level. The findings show that electronic properties and hence quantum capacitance of graphene can be tuned by varying transition metal dopants and/or their coordination environment. Modified graphenes can suitably be chosen as positive or negative electrodes of asymmetric supercapacitors depending upon the values of quantum capacitance and stored charges. Furthermore, quantum capacitance can be enhanced by widening the working voltage window. The results can serve as guidelines for the design of graphene-based electrodes in supercapacitor applications.
Visual measurement of grinding surface roughness based on feature fusion
Authors: Huang Jiefeng , Yi Huaian , Shu Aihua , Tang Liang , Song Kun 
Published: July 2023

Abstract
Due to the random surface texture and weak features of the grinding processing, most current visual measurement of grinding surface roughness is predicted by designing feature indicators, but its imaging environment is more demanding and the indicator design is more artificial. While deep learning can achieve feature self-extraction, the existing deep learning-based feature extraction uses a single convolutional model to extract features, which tends to make the extracted features noise, with low resolution and poor perception of details. To address the above problems, this paper proposes a feature fusion-based method for measuring grinding surface roughness. The method adopts different feature extraction ways and fuses the extracted features to obtain more features while also improving the generalization ability of the model, and verifies the adaptability of the model in different lighting environments. The experimental results show that deep learning self-extracted features based on feature fusion can effectively solve the problem of weak feature information on grinding surface roughness that is difficult to identify, and the model has high detection accuracy across different lighting environments, thus laying the foundation for the automated visual online measurement of grinding surface roughness.
Dielectric metal/metal oxide nanocomposites: modeling response properties at multiple scales
Authors: Henderson Brett , N S Adluri Archita , T Paci Jeffrey , Paci Irina 
Published: July 2023

Abstract
Nanocomposites with metallic inclusions show great promise as tunable functional materials, particularly for applications where high permittivities are desirable, such as charge-storage. These applications strain quantum mechanical computational approaches, as any representative sample of the material includes hundreds if not thousands of atoms. Many continuum methods offer some predictive power for matrix-inclusion composites, but cannot be directly applied to composites with small inclusions, for which quantum and interfacial effects dominate. Here, we develop an adjustable finite element approach to calculate the permittivities of composites consisting of a metal-oxide matrix with nanometer-scale silver inclusions, by introducing an interfacial layer in the model. The approach involves solving the Laplace equation with Dirichlet and Neumann boundary conditions. We demonstrate that such a continuum model, when appropriately informed using quantum mechanical results, can capture many of the relevant polarization effects in a metal/metal oxide nanocomposite, including those that contain arbitrarily-small inclusions, at a fraction of the computational cost of performing the full quantum mechanics.
Geometric nonlinear analysis of dielectric layer based on concave paper-cut structure with zero Poisson’s ratio
Authors: Fangyi Wei , Ruilan Tian , Xiaolong Zhang , Huanan Hao , Minghao Wang 
Published: July 2023

Abstract
When the sensor works in a limited environment, its accuracy is easily affected by unnecessary strain loss. The key to improve accuracy is to reduce the transverse strain of the dielectric layer structure. It is an innovative technology to construct zero Poisson’s ratio dielectric layer to limit the lateral strain of dielectric layer under normal pressure. The porous metamaterial dielectric layer with zero Poisson’s ratio is constructed based on the paper-cutting theory. The equivalent nonlinear mechanical model is established by use of Bernoulli Euler beam theory and energy method. The analytical expressions of equivalent Poisson’s ratio and equivalent Young’s modulus are given, and the necessity of considering geometric nonlinear large deformation is revealed. An improved variable step iterative method is proposed in order to solve the problem of equivalent internal force analysis caused by geometric deformation nonlinearity. The key of this method is to determine the displacement at the free end under the premise of considering the nonlinear superposition of the rigid body motion of the curved bar of the metamaterial. Based on the equivalent nonlinear mechanical model, the structural deformation characteristics of the dielectric layer structure in the linear small deformation stage and the nonlinear large deformation stage are analyzed. The results of theoretical, finite element simulation and experimental research reveal the necessity of considering geometric nonlinear factors in the practical application of the structure, which means that the foundation is theoretically and experimentally laid for the design of porous elastic dielectric layer of flexible capacitive pressure sensor.
Self-deploying origami magnetic membranes with flexible sensors for narrow liquid channels
Authors: Zhou Pan , Zhang Xianmiao , Li Ya , Ren Miaoning , Xiang Hongbiao , Huang Xian 
Published: July 2023

Abstract
Miniaturized magnetic membranes have garnered substantial attention in the biomedical field due to their biocompatibility and mechanical properties in recent years. In this study, we explore the self-deployment mechanisms of six origami magnetic membranes with different folding patterns and magnetic polarities. The deployment of the membranes is purely caused by the repelling effect of the internal magnetic fields with different directions without relying on any external magnetic field. And the strength of the internal magnetic field within the membrane directly determines the repelling forces on the pre-deployed region of the magnetic membranes. Our results show that the crimp folded and transversely magnetized membranes can deploy 12.50 times from an original opening size of 2.00 mm in narrow liquid channels within 22 s. Additionally, these membranes exhibit the ability to adaptively deploy in narrow liquid channels with different structures, including L-shaped, V-shaped, and U-shaped at different flow rates. Furthermore, the self-deployable membranes can serve as carriers for flexible and stretchable devices, enabling multi-area deployment through small opening. Integrated with various functional flexible electronics, these self-deployable membranes provide possibilities for innovative applications in the diagnosis and treatment of diseases, and targeted drug delivery.
Particle-reinforced elastomer model to analyse viscoelastic properties of flake-shaped electrolyte iron particle-based magnetorheological elastomer
Authors: Patel Dipal , Upadhyay Ramesh V , Mazlan Saiful Amri 
Published: July 2023

Abstract
This paper uses parallel-plate-plate rheometry to focus on the magnetic field-dependent nonlinear viscoelastic behaviour of flake-shaped electrolyte iron powder-based magnetorheological elastomer (MRE). MRE was prepared using liquid silicon rubber as a base, a curing agent and electrolyte iron particles as fillers. Three MRE samples having 60%, 40%, and 0% filler weight fractions were prepared. The curing was carried out at 300 K. The thickness of the sample was 1.00 ± 0.04 mm. Scanning electron microscopy results showed uniform dispersal of particles within a matrix. The swelling measurement technique was used to confirm the enhanced reinforced properties of elastomer by calculating the cross-link density. The magnetic volume fraction evaluated from magnetisation measurements yields values of 18.7% for MRE-60 and 8.7% for MRE-40. Both moduli’s field-induced linear and nonlinear amplitude dependence were analysed using the modified particle-reinforced elastomer model. The result indicates that filler particles adsorbed on polymer chains were essential in determining the reinforcing properties of MRE. The improved cross-link density and particle morphology were responsible for the enhanced field-induced magnetorheological effect (277%). This value is nearly three times greater than that observed in spherical particles-based MRE.
Exploring the potential of hydrothermally synthesized AgZnS@Polyaniline composites as electrode material for high-performance supercapattery device
Authors: Rehman Asad Ur , Afzal Amir Muhammad , Iqbal Muhammad Waqas , Wabaidur Saikh Mohammad , Al-Ammar Essam A , Mumtaz Sohail , Choi Eun Ha , Ali Muhammad 
Published: July 2023

Abstract
Polyaniline (PANI), being one of the highly stable and electroactive conducting polymers, is under investigation for some past years for its better conductivity and other electrochemical characteristics. In this research, PANI is utilized to enhance the electrochemical capabilities of silver-zinc sulfide (AgZnS). The synthesis of silver-zinc sulfide was done hydrothermally, while PANI was prepared via polymerization of aniline. The improvement in capabilities of silver-zinc sulfide was analyzed by adding PANI in it in 25%, 50%, and 75% weight ratios. One of the compositions with 50% PANI unveiled an excellent specific capacity (Qs) of 1121.6 Cg−1. The same composition was further examined for its charge storage capability by assembling a supercapattery device. The assembled device functioned remarkably well resulting in a highest Qs value of 223.44 Cg−1 at 1 Ag−1. Moreover, the device delivered a tremendous energy density of 49.65 Wh kg−1 at a power density of 795.33 W kg−1. The device lost only 10% of its capacity following 5000 charge-discharge cycles, while the Coulombic efficiency remained to be 95% over the same number of cycles at 4.2 Ag−1. The highest power density turned out to be 7678.93 W kg−1 with the lowest energy density of 9.62 Wh kg−1. The reported work, as compared to previous work puts forward a suitable electrode material to be exploited in superior energy storage devices.
Pristine and modified silicene based volatile organic compound toxic gas sensor: a first principles study
Authors: Showket Shazia , Shah Khurshed A , Dar G N 
Published: July 2023

Abstract
In this work, we have investigated the sensitivity of two Volatile Organic Compounds (VOCs), formaldehyde (FD) and acetaldehyde (AD) on the surface of two-dimensional (2D) Armchair Silicene Nanoribbon (ASiNR) by analysing the structural, electronic and transport properties using density functional theory (DFT) and non-equilibrium Green's function (NEGF) formalism. Different models of ASiNR have been considered viz; pristine, Al-doped, P-doped, Al/P co-doped and vacancy-defected ASiNR. The findings revealed that the vacancy-defected models shows a significant increase in the adsorption energies for both VOCs compared to other models. Apart from that, in all the models, the current increases with the applied voltage and the maximum value of current was found in Al/P co-doped model at a higher bias voltage of 2 V. The variation of the computed transmission spectrum peaks from −2 to 2 eV of energy values also confirms the sensitivity of the proposed models towards the VOC molecules. Moreover, the projected device density of states (PDDOS) revealed that all the models remain semiconducting before and after adsorption, which completely agrees with the transmission spectrum. Furthermore, Al/P co-doped model shows high sensitivity of 68% and77% towards FD and AD molecules respectively. Thus, it is concluded that the modeled ASiNR VOC gas sensors will aid in sensing cancer.
J/ψ pair hadroproduction at next-to-leading order in nonrelativistic-QCD at CMS*
Authors: Sun Li-Ping 
Published: July 2023

Abstract
We perform a complete study of

pair hadroproduction at next-to-leading order (NLO) in the nonrelativstic-QCD (NRQCD) framework with the

pair either in the

or

fock states. It is found that the

channel contribution at NLO is essential. Our results indicate that for the CMS, the NRQCD predictions cannot describe the experimental data at all, and the total cross section predicted via NRQCD is smaller than the experimental data by an order of magnitude. Therefore, new mechanisms are needed to understand the CMS data for

pair production.
Steady states of two-dimensional granular systems are unique, stable, and sometimes satisfy detailed balance
Authors: Myhill Alex D C , Blumenfeld Raphael 
Published: July 2023

Abstract
Understanding the structural evolution of granular systems is a long-standing problem. A recently proposed theory for such dynamics in two dimensions predicts that steady states of very dense systems satisfy detailed-balance. We analyse analytically and numerically the steady states of this theory in systems of arbitrary density and report the following. (1) We discover that all such dynamics almost certainly possess only one physical steady state, which may or may not satisfy detailed balance. (2) We show rigorously that, if a detailed balance solution is possible then it is unique. The above two results correct an erroneous conjecture in the literature. (3) We show rigorously that the detailed-balance solutions in very dense systems are globally stable, extending the local stability found for these solutions in the literature. (4) In view of recent experimental observations of robust detailed balance steady states in very dilute cyclically sheared systems, our results point to a self-organisation of process rates in dynamic granular systems.
Exact solutions for a spin-orbit coupled ultracold atom held in a driven double well
Authors: Luo Yunrong , Wang Xuemei , Yi Jia , Li Wenjuan , Xie Xin , Luo Zhida , Hai Wenhua 
Published: July 2023

Abstract
Exact solutions for spin-orbit (SO)-coupled cold atomic systems are very important and rare in physics. In this paper, we propose a simple method of combined modulations to generate the exactly analytic solutions for a single SO-coupled ultracold atom held in a driven double well. For the cases of synchronous combined modulations and the spin-conserving tunneling, we obtain the generally accurate solutions of this system respectively. For the case of spin-flipping tunneling under asynchronous combined modulations, we get the specially exact solutions in simple form when the driving parameters are appropriately chosen. Based on these obtained exact solutions, we reveal some intriguing quantum spin dynamical phenomena, for instance, the arbitrary coherent population transfer with and/or without spin-flipping, the controlled coherent population conservation, and the controlled coherent population inversion. The results may provide a possibility for generating the accurate quantum entangled states and the exact control of spin dynamics for a SO-coupled ultracold atomic system.
Factors of innovation development directions of “Green economy” in the conditions transformations
Authors: Molchanova L A , Khokhlova S V , Basova N V , Gyunther I N , Malykh M S 
Published: July 2023

Abstract
The paper actualizes the issue of the problems of society’s transition to the modern direction of “green economy”, presents its possible prospects for development and the need for implementation in the modern economic process. The definition of the term “green economy” is given and the main characteristic features of this process are outlined. The main advantages and prospects of the “green economy” direction are determined. The analysis of the development of the innovative method in the conditions of functioning of the market management system and free competition is carried out. The methods of influence and regulation of this directions within the framework of the country’s legislative system. Proposals have been put forward regarding a possible plan for the development of the state in the context of the functioning of the innovative direction “green economy” in the economic process.
Green marketing and factors affecting its development
Authors: Mammadova V Q , Hasanov A F , Hasanova A A 
Published: July 2023

Abstract
One of the most urgent issues in the background of the processes taking place at the global level at the moment is the increase in the demand for products and services due to the rapid increase in the world population and the difficulties in meeting it. In order to meet the increased demand, the intensive integration of modern technologies into the production process, in particular, leads to the disruption of the ecological balance, the production of ecologically clean products has created the ground for it to gradually move into the background. In this aspect, the activities of companies committed to sustainable development and corporate social responsibility should be specially evaluated. Thus, those companies are not only focused on the high economic interest of making profit, but at the same time, they show a high initiative to meet the expectations of society and ecosystem protection. At present, the systematic application of these principles is called green marketing. Green marketing shows that more organizations can make their products attractive to consumers and improve packaging, transportation, energy, water use, etc. and strive to implement sustainable business practices so that they can reduce costs. The continuous application of the principles of social responsibility by enterprises can increase their market position and image in society, as well as increase brand loyalty among socially conscious consumers. We believe that green marketing will become one of the most effective economic tools in the future for producers to be one step ahead in the increasingly competitive environment.