bluuebunny/crossref_metadata_2025_split huggingface dataset:
Manipulating the Spatial Structure of Second-Order Quantum Coherence Using Entangled Photons
Authors: Huang 黄 Shuang-Yin 双印 , Gao 高 Jing 菁 , Ren 任 Zhi-Cheng 志成 , Cheng 程 Zi-Mo 子默 , Zhu 朱 Wen-Zheng 文正 , Xue 薛 Shu-Tian 舒天 , Lou 娄 Yan-Chao 严超 , Liu 刘 Zhi-Feng 志峰 , Chen 陈 Chao 超 , Zhu 朱 Fei 飞 , Yang 杨 Li-Ping 立平 , Wang 汪 Xi-Lin 喜林 , Wang 王 Hui-Tian 慧田 
Published: June 2024

Abstract
High-order quantum coherence reveals the statistical correlation of quantum particles. Manipulation of quantum coherence of light in the temporal domain enables the production of the single-photon source, which has become one of the most important quantum resources. High-order quantum coherence in the spatial domain plays a crucial role in a variety of applications, such as quantum imaging, holography, and microscopy. However, the active control of second-order spatial quantum coherence remains a challenging task. Here we predict theoretically and demonstrate experimentally the first active manipulation of second-order spatial quantum coherence, which exhibits the capability of switching between bunching and anti-bunching, by mapping the entanglement of spatially structured photons. We also show that signal processing based on quantum coherence exhibits robust resistance to intensity disturbance. Our findings not only enhance existing applications but also pave the way for broader utilization of higher-order spatial quantum coherence.
Clinical application of cold atmospheric-pressure plasma: mechanisms and irradiation conditions
Authors: Jeong Eun Ji , Park Hyun Min , Lee Dong Jae , Lee Jun , Cho Jun Yeong , Seo Kyung Deok , Je Seokjun , Jung Min Hyung , Hwang Woo Yeon , Kim Kyung Sook 
Published: June 2024

Abstract
Cold atmospheric plasma (CAP) has rapidly advanced as a pivotal area in medical research, notably in wound healing and cancer therapy. This review presents an overview of the mechanisms underlying the action of CAP on wound healing and cancer treatment. CAP plays opposing roles in wound healing and cancer treatment. In wound healing, CAP promotes cell migration and proliferation and eradicates pathogens near the wound site. In cancer therapy, CAP has been recognized for its ability to induce cell death through multiple mechanisms. These include activating the mitochondrial pathway, provoking endoplasmic reticulum stress, generating reactive oxygen species (ROS) and reactive nitrogen species (RNS), causing DNA damage, arresting the cell cycle, and modulating signaling pathways. Additionally, CAP’s oxidative stress can lead to significant changes in DNA and RNA within the nucleus, further contributing to its anti-cancer properties. These diverse effects underscore CAP’s therapeutic potential, though outcomes may differ based on the type of cancer and experimental settings. Furthermore, we compared the CAP application conditions for wound healing and cancer cell treatment. The type and concentration of ROS and RNS depend on plasma generation and treatment conditions. Thus, we aimed to identify the correlations between plasma properties and mechanisms of action by comparing CAP generation and treatment conditions in wound healing and cancer cell treatment.
Fast fabrication, gas sense characteristics and kinetics of cubic Ti-BIPA-TC-MOF film composite optical waveguides
Authors: Nizamidin Patima , Chen Huifang , Mamtmin Gulgina , Guo Caiping , Du Xiangdi , Yimit Abliz 
Published: June 2024

Abstract
A cubic Ti-metal-organic framework (MOF) ([Ti2–(TpA)2–H2BIPA]), constructed from a titanium metal centre and a benzo-imidephenanthroline tetracarboxylic acid (H4BIPA–TC) ligand was photo-inductively grown on the surface of a titanium dioxide (TiO2) composite optical waveguide (COWG) substrate and the influence of photo-inductive growth period on the [Ti2–(TpA)2–H2BIPA] film surface morphology, optical properties and gas adsorption/sensing characteristics was investigated. The results showed that [Ti2–(TpA)2–H2BIPA] formed a cubic structure after grew for only 5 min. As an ideal gas adsorbent, it exhibits a specific response to ethylenediamine (EDA) among various benzene, amine and acid gases, due to the intrinsic electron deficiency, rich COOH active sites of the Ti–BIPA–TC–MOF–5 frame and the higher molar refractive indexes or dipoles of EDA than other gases. In the EDA concentration range from 10 ppt to 100 ppm, the Ti–BIPA–TC–MOF–5 film COWG exhibited a rapid, repeatable response. Moreover, the Ti–BIPA–TC–MOF–5 film COWG was relatively stable, within 17 d of EDA detection, the response intensity was almost constant and slightly decreased within 40 d. In a static gas adsorption stage at 283–313 K, the EDA gas adsorption behaviour of the Ti–BIPA–TC–MOF–5 film is consistent with the pseudo-second-order kinetic model.
Asymmetric energy barrier induced magnetic skyrmion diodes in synthetic antiferromagnetic nanotracks
Authors: Xu Min , Hu Changjing , Zhang Zhiyu , Chen Wenlong , Chen Yuliang , Zhang Jinyu , Zhao Xiaoyu , Ning Jianyu , Wang Yifan 
Published: June 2024

Abstract
Magnetic skyrmions are nanoscale spin textures with topological protection properties, which are regarded as promising information carriers. When skyrmions move along nanotracks, their trajectories will shift if affected by skyrmion Hall effect and pinning effect. In this work, the influence of trapezoidal notches in synthetic antiferromagnetic nanotracks on the dynamics of skyrmions is investigated through micromagnetic simulation. The results exhibit that the asymmetric energy barrier induced by the asymmetric geometric structure can hinder reverse motion of skyrmions to realize the unidirectional conduction function of the diodes. Adjusting the height and inclination angle of the trapezoidal notch can effectively expand the current operating windows of the diodes, and the larger the height or inclination angle, the higher the threshold current density to overcome the pinning effect of the geometric energy barrier. Furthermore, the failure mode has a crucial impact on the implementation of skyrmion diodes. By utilizing the asymmetric structure, the forward conduction and reverse cutoff of skyrmion-based diodes can be achieved within 4 ns, with lower energy consumption than traditional diodes, resulting in high efficiency and low energy consumption of diodes. This work proposes a method for realizing the diode functionality by simply altering the geometric structure of the nanotracks, which may play an important role in the design and application of skyrmion-based diodes.
Characteristic simulation of underwater microsecond high-current pulsed arc discharge plasma
Authors: Shijie Huang , Yi Liu , Liuxia Li , Youlai Xu , Chenqian Zeng , Fuchang Lin 
Published: June 2024

Abstract
Modeling analysis of underwater pulsed arc discharge can predict the characteristics of plasma channels, providing theoretical guidance for the practical application of underwater pulsed discharge. Due to the complexity of experimental diagnostics for ‘kA’-level underwater pulsed discharge, there is currently a lack of precise experimental data to support the initial value selection and result optimization of the modeling. This paper established a plasma channel model for underwater pulsed arc discharge. In conjunction with the Saha ionization equilibrium equation, the model was capable of simulating the current, pressure, temperature, and electron density of the channel after gap breakdown. By utilizing spectroscopic diagnostic data and a multi-objective optimization algorithm, the initial values and key parameters of the model were reasonably determined. The simulation results were in good agreement with the experimental diagnostic results, reasonably representing the trends in electron density and blackbody radiation temperature. Moreover, the model was applicable for reasonably explaining the emission spectral mechanism of the arc channel and shock waves prediction under different discharge conditions.
Fano resonances in tilted Weyl semimetals in an oscillating quantum well
Authors: Das Souvik , Maity Arnab , Sarkar Rajib , Menon Anirudha , Nag Tanay , Basu Banasri 
Published: June 2024

Abstract
Considering the low-energy model of tilted Weyl semimetal, we study the electronic transmission through a periodically driven quantum well, oriented in the transverse direction with respect to the tilt. We adopt the formalism of Floquet scattering theory and investigate the emergence of Fano resonances as an outcome of matching between the Floquet sidebands and quasi-bound states. The Fano resonance energy changes linearly with the tilt strength suggesting the fact that tilt-mediated part of quasi-bound states energies depends on the above factor. Given a value of momentum parallel (perpendicular) to the tilt, we find that the energy gap between two Fano resonances, appearing for two adjacent values of transverse (collinear) momentum with respect to the tilt direction, is insensitive (sensitive) to the change in the tilt strength. Such a coupled (decoupled) behavior of tilt strength and the collinear (transverse) momentum can be understood from the tilt-mediated and normal parts of the quasi-bound state energies inside the potential well. We vary the other tilt parameters and chirality of the Weyl points to conclusively verify the exact form of the tilt-mediated part of the quasi-bound state energy that is the same as the tilt term in the static dispersion. The tilt orientation can significantly alter the transport in terms of evolution of Fano resoance energy with tilt momentum. We analytically find the explicit form of the bound state energy that further supports all our numerical findings. Our work paves the way to probe the tilt-mediated part of quasi-bound state energy to understand the complex interplay between the tilt and Fano resonance.
Tunable hybrid-order Weyl semimetal via staggered magnetic flux
Authors: Xu Chuanshu , Wang Jiyu , Luo Xi , Lu Xiancong 
Published: June 2024

Abstract
We investigate a hybrid-order Weyl semimetal (HOWS) constructed by stacking the two-dimensional kagome lattice with staggered magnetic flux. By adjusting the magnitude of flux, higher-order topological phases are tunably intertwined with the first-order topological Chern insulators, which is governed by the evolution of Weyl points. Meanwhile the surface Fermi arcs undergo topological Lifshitz transition. Notably, due to the breaking of time-reversal symmetry (TRS), a novel split of a quadratic double Weyl point occurs, giving rise to additional three type-II Weyl points hybridizing with one type-I node. This phenomenon plays a crucial role in realizing high-Chern-number phases with

C
=
±
2

and reveals a new mechanism for the emergence of type-II Weyl fermions in topological kagome semimetals. We anticipate that this study will stimulate further investigation into the unique physics of kagome materials and Weyl semimetals.
Electron–electron interactions in partially mixed helical states
Authors: Bakhshipour Zeinab , Hosseini Mir Vahid 
Published: June 2024

Abstract
We theoretically study the effect of electron–electron interactions in one-dimensional partially mixed helical states. These helical states can be realized at the edges of two-dimensional topological insulators with partially broken time-reversal symmetry, resulting in helical gapped states. Using the bosonization method and renormalization group analysis, we identify weak gap, crossover, and strong gap regimes in the phase diagram. We find that strong electron–electron interaction mixes the helicity of the states, leading to the relevant strong gap regime. We investigate the charge and spin density wave correlation functions in different relevancy regimes of the gap mediated by interactions, where in the case of strong repulsive interaction, the spin density wave dominates the charge density wave. Additionally, employing the Memory function technique, we calculate the effect of mixed helicity on the charge transport in a sufficiently long edge. We find a non-uniform temperature dependence for the charge conductivity in both the strong and weak gap regimes with distinct features.
A data-driven LSTMSCBLS model for soft sensor of industrial process
Authors: Ni Mingming , Li Shaojun 
Published: June 2024

Abstract
In the chemical industry, data-driven soft sensor modeling plays a crucial role in efficiently monitoring product quality and status. Industrial data in these applications typically exhibit significant temporal characteristics, meaning that current information is influenced by data from previous periods. Effectively extracting and utilizing these temporal features is essential for achieving accurate soft sensor modeling in complex chemical scenarios. To address this challenge, this study proposes a data-driven Broad Learning System (BLS) model, which combines Long Short-Term Memory (LSTM) networks with an adaptive algorithm known as the Stochastic Configuration Algorithm (SC), referred to as LSTMSCBLS. The model operates in two stages: temporal feature extraction and final prediction. In the temporal feature extraction stage, the integration of the LSTM network with a feature attention mechanism allows for efficient extraction of temporal features from high-dimensional time-series data. In the final prediction stage, the SC is integrated into the BLS, effectively mitigating issues related to node space redundancy and the determination of the number of nodes. The effectiveness and superiority of the proposed model are demonstrated through two industrial case studies involving a debutanizer column and a sulfur recovery unit.
Cu/Cu2O/C nanoparticles and MXene based composite for non-enzymatic glucose sensors
Authors: Alshraim Asma , Gopal Tamil Selvi , Alanazi Nadyah , Mr Muthumareeswaran , Alobaidi Amani Ali E , Alsaigh Reem , Aldosary Mohammed , Pandiaraj Saravanan , Grace Andrews Nirmala , Alodhayb Abdullah N 
Published: June 2024

Abstract
Copper/Cuprous oxide/Carbon nanoparticles decorated MXene composite was prepared and subsequently examined for its potential application as a non-enzymatic glucose sensor. To carry out this, initially the Cu MOF/MXene composite was synthesised by the hydrothermal method and was annealed in an unreacted environment at different time intervals. During this process, petal like Cu MOF on MXene loses the organic ligands to form a Cu/Cu2O/C based nanoparticles on MXene. Further, an electrode was fabricated with the developed material for understanding the sensing performance by cyclic voltammetry and chronoamperometry in 0.1 M NaOH solution. Results reveal that the highest weight percentage of copper oxide in the composite (15 min of annealed material) shows a higher electro catalytic activity for sensing glucose molecules due to more active sites with good electron transfer ability in the composite. The formed composite exhibits a wide linear range of 0.001–26.5 mM, with a sensitivity of 762.53 μAmM−1cm−2 (0.001–10.1 mM), and 397.18 μAmM−1cm−2 (11.2–26.9 mM) and the limit of detection was 0.103 μM. In addition to this, the prepared electrode shows a good reusability, repeatability, selectivity with other interferences, stability (93.65% after 30 days of storage), and feasibility of measuring glucose in real samples. This finding reveals that the metal oxide derived from MOF based nanoparticle on the MXene surface will promote the use of non-enzymatic glucose sensors.
The prospect of supercapacitors in integrated energy harvesting and storage systems
Authors: Sinha Prerna , Sharma Ashutosh 
Published: June 2024

Abstract
Renewable energy sources, such as wind, tide, solar cells, etc, are the primary research areas that deliver enormous amounts of energy for our daily usage and minimize the dependency upon fossil fuel. Paralley, harnessing ambient energy from our surroundings must be prioritized for small powered systems. Nanogenerators, which use waste energy to generate electricity, are based on such concepts. We refer to these nanogenerators as energy harvesters. The purpose of energy harvesters is not to outcompete traditional renewable energy sources. It aims to reduce reliance on primary energy sources and enhance decentralized energy production. Energy storage is another area that needs to be explored for quickly storing the generated energy. Supercapacitor is a familiar device with a unique quick charging and discharging feature. Encouraging advancements in energy storage and harvesting technologies directly supports the efficient and comprehensive use of sustainable energy. Yet, self-optimization from independent energy harvesting and storage devices is challenging to overcome. It includes instability, insufficient energy output, and reliance on an external power source, preventing their direct application and future development. Coincidentally, integrating energy harvesters and storage devices can address these challenges, which demand their inherent action. This review intends to offer a complete overview of supercapacitor-based integrated energy harvester and storage systems and identify opportunities and directions for future research in this subject.
Numerical characterization of thermal transport in hexagonal tungsten disulfide (WS2) nanoribbons
Authors: Ghosh Aroni , Shadman Ahmed Shafin , Shawkat Mst Shamim Ara , Subrina Samia 
Published: June 2024

Abstract
In this study, we have investigated the thermal transport characteristics of single-layer tungsten disulfide, WS2 nanoribbons (SLTDSNRs) using equilibrium molecular dynamics simulations with the help of Green-Kubo formulation. Using Stillinger-Weber (SW) inter-atomic potential, the calculated room temperature thermal conductivities of 15 nm × 4 nm pristine zigzag and armchair SLTDSNRs are 126 ± 10 W m−1K−1 and 110 ± 6 W m−1K−1, respectively. We have explored the dependency of thermal conductivity on temperature, width, and length of the nanoribbon. The study shows that the thermal conductivity of the nanoribbon decreases with the increase in temperature, whereas the thermal conductivity increases with an increase in either the width or length of the ribbon. The thermal conductivity does not increase uniformly as the size of the ribbon changes. We have also observed that the thermal conductivity of SLTDSNRs depends on edge orientations; the zigzag nanoribbon has greater thermal conductivity than the armchair nanoribbon, regardless of temperature or dimension variations. Our study additionally delves into the tunable thermal properties of SLTDSNRs by incorporating defects, namely vacancies such as point vacancy, edge vacancy, and bi-vacancy. The thermal conductivities of nanoribbons with defects have been found to be considerably lower than their pristine counterparts, which aid in enhanced values for the thermoelectric figure of merit (zT). We have varied the vacancy concentration within a range of 0.1% to 0.9% and found that a point vacancy concentration of 0.1% leads to a 64% reduction in the thermal conductivity of SLTDSNRs. To elucidate these phenomena, we have calculated the phonon density of states for WS2 under different aspects. The findings of our work provide important understandings of the prospective applications of WS2 in nanoelectronic and thermoelectric devices by tailoring the thermal transport properties of WS2 nanoribbons.
Growth of metal nanoparticles in hydrocarbon atmosphere of arc discharge
Authors: Musikhin S , Nemchinsky V , Raitses Y 
Published: June 2024

Abstract
A direct current (DC) arc discharge is a widely used method for large-scale production of metal nanoparticles, core–shell particles, and carbon nanotubes. Here, the growth of iron nanoparticles is explored in a modified DC arc discharge. Iron particles are produced by the evaporation of an anode, made from low-carbon steel. Methane admixture into argon gas serves as a carbon source. Electron microscopy and elemental analysis suggest that methane and/or products of its decomposition adhere to iron clusters forming a carbon shell, which inhibits iron particle growth until its full encapsulation, at which point the iron core growth is ceased. Experimental observations are explained using an aerosol growth model. The results demonstrate the path to manipulate metal particle size in a hydrocarbon arc environment.
A hierarchical authorization image encryption algorithm based on two-dimensional time-varying delayed chaotic map
Authors: Jin Bingxue , Fan Liuqin , Zhang Bowen , Xu Weijie , Liu Lingfeng 
Published: June 2024

Abstract
With the continuous development of information technology, the security of images in the process of transmission, storage and use has also become the focus of network security. However, most of the existing image encryption algorithms only focus on the security of images in the transmission and storage process, while ignoring their security in use. For some special organisations, images are very sensitive information and their security during usage is also very important. Similar to the advanced encryption information stored in the public security system, the depth of information that can be viewed by ordinary privileges and advanced privileges is different. But there is no such hierarchical authorisation algorithm in image security. In order to solve this problem, this study proposes a hierarchical authorisation encryption and decryption algorithm, which achieves hierarchical decryption while ensuring the security of encrypted images. In this method, the image is decomposed by bit plane, and the bit plane is grouped, and each group adopts different key. According to the level of legitimate users, the corresponding key is assigned to them, and the clarity of the decrypted image requested by different levels of users is different, that is, the information depth is different. This method extends the scope of application of the encryption algorithm and is more practical than the existing encryption algorithm.
Spatial dependence of the growth factor in scalar-tensor cosmology
Authors: Caruana Maria , Farrugia Gabriel , Said Jackson Levi , Sultana Joseph 
Published: June 2024

Abstract
Scalar-tensor theories have taken on a key role in attempts to confront the growing open questions in standard cosmology. It is important to understand entirely their dynamics at perturbative level including any possible spatial dependence in their growth of large scale structures. In this work, we investigate the spatial dependence of the growth rate of scalar-tensor theories through the Mészáros equation. We confirm that at subhorizon level this dependence does not play a major role for viable models. However, we establish conditions on which this criterion is met which may be important for developing new models. In our work, we consider three specific models that exhibit spatial dependence of the growth rate at subhorizon modes, which may also be important for early Universe models.