bluuebunny/crossref_metadata_2025 huggingface dataset:
Mesoporous carbon encapsulated zinc oxide nanorods derived from plant species ‘Argyreia sharadchandrajii’ for live cell imaging of drug delivery and multimodal bioactivities
Authors: Bhosale Sneha R. , Jagadhane Kishor S. , Bhosale Rakhee R. , Vanalakar Sharadrao A. , Qureshi Mohammad H. , Patil Devashree N. , Dhavale Rushikesh P. , Shimpale Vinod B. , Kolekar Govind B. , Anbhule Prashant V.
Published: June 2023

Schematic illustration of the drug delivery mechanism.
Molecular adsorption and self-diffusion of NO2, SO2, and their binary mixture in MIL-47(V) material
Authors: Seehamart Kompichit , Busayaporn Wutthikrai , Chanajaree Rungroj
Published: June 2023

The loading dependence of self-diffusion coefficients (Ds) of NO2, SO2, and their equimolar binary mixture in MIL-47(V) have been investigated by using classical molecular dynamics (MD) simulations.
Water structure modification by d-(+)-glucose at different concentrations and temperatures-effect of mutarotation
Authors: Hossain Mohammad , Chowdhury Noortaz , Atahar Amiya , Susan Md. Abu Bin Hasan
Published: June 2023

Water structure making and breaking effects of d-(+)-glucose have been studied by applying perturbations of concentration and temperature along with mutarotation between α- and β-forms.
Attribute‐guided transformer for robust person re‐identification
Authors: Wang Zhe , Wang Jun , Xing Junliang
Published: June 2023

Recent studies reveal the crucial role of local features in learning robust and discriminative representations for person re‐identification (Re‐ID). Existing approaches typically rely on external tasks, for example, semantic segmentation, or pose estimation, to locate identifiable parts of given images. However, they heuristically utilise the predictions from off‐the‐shelf models, which may be sub‐optimal in terms of both local partition and computational efficiency. They also ignore the mutual information with other inputs, which weakens the representation capabilities of local features. In this study, the authors put forward a novel Attribute‐guided Transformer (AiT), which explicitly exploits pedestrian attributes as semantic priors for discriminative representation learning. Specifically, the authors first introduce an attribute learning process, which generates a set of attention maps highlighting the informative parts of pedestrian images. Then, the authors design a Feature Diffusion Module (FDM) to iteratively inject attribute information into global feature maps, aiming at suppressing unnecessary noise and inferring attribute‐aware representations. Last, the authors propose a Feature Aggregation Module (FAM) to exploit mutual information for aggregating attribute characteristics from different images, enhancing the representation capabilities of feature embedding. Extensive experiments demonstrate the superiority of our AiT in learning robust and discriminative representations. As a result, the authors achieve competitive performance with state‐of‐the‐art methods on several challenging benchmarks without any bells and whistles.
Cross‐coupling control strategy based on intelligent adaptive control for cross‐shaped dual‐axis linear motors
Authors: Li Zheng , Wang Kang tao , Wang Jin song , Zhang Zi hao , Guo Xiao qiang , Sun He xu
Published: June 2023

In order to ensure the high precision and good dynamic characteristics of the dual‐axis linear motor when machining components, the tracking error and contour error should be reduced with more complex machining trajectory. In this study, the characteristic model of position control of the linear motor is established by using the modelling principle of the characteristic model, and the intelligent adaptive controller is designed. In addition, a new calculation method of the equivalent contour error is proposed innovatively, and the dual axis is compensated by proportional feedback control, to improve the contour accuracy of the permanent magnet synchronous linear motor dual‐axis control system. Finally, through the simulation and experiment of the dual‐axis motor platform, the effectiveness of the proposed contour error calculation method and the intelligent adaptive controller can make the dual‐axis motion control system have higher accuracy and strong robustness and can also make the motor run more smoothly.
Managing reserve deliverability risk of integrated electricity‐heat systems in day‐ahead market: A distributionally robust joint chance constrained approach
Authors: Chen Yang , Wang Jianxue , Wang Siyuan , Bo Rui , Gu Chenjia , Li Qingtao
Published: June 2023

The integrated electricity and heat system (IEHS) is an emerging demand‐side flexible resource for power systems. IEHS operators participating in electricity markets considering their capabilities in reserve provision will face the reserve deliverability risk due to the energy‐limited storage nature of heat systems. To address this challenge and increase profitability, a distributionally robust joint chance‐constrained mechanism with enhanced quantifications is adopted for the heating system and reserve deployment uncertainties. Detailed pipeline storage representation for thermal networks and integrated demand response are incorporated into this strategic participation model. A two‐stage distributionally robust joint chance constrained program is then incorporated to effectively manage the reserve deliverability risk by addressing uncertainties from local distributed energy resources and real‐time reserve requests. The L‐shaped algorithm is then customized by incorporating bi‐linear Benders’ decomposition and modified scenario filtering method to efficiently tackle solution challenges for the sophisticated model. Numerical results show the advantages of our approach in virtual thermal storage utilization, risk management, computational performance enhancement and scalability.
Finite time adaptive synchronous control for fractional‐order chaotic power systems
Authors: Ai Chunyu , He Shan , Wang Weiqing , Fan XiaoChao
Published: June 2023

As a complex non‐linear system, the chaotic oscillation of power system seriously threatens the safe and stable operation of power grids. In this paper, a finite time adaptive synchronization control method is proposed to mitigate the problem of chaotic oscillation in the power system. The proposed method can realize chaos control and parameter identification by completely synchronizing the fractional‐order chaotic power system with the stable fractional‐order power system to identify parameters within a finite time. The fractional Lyapunov stability theory is used for numerical simulation. Theoretical and simulation results show that this method can effectively stabilize the system in a finite time. It is proved that compared with the adaptive synchronous control method, the control method is simpler in design, shorter in action time, and more meaningful in engineering practice.
Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources
Authors: Basu Mousumi , Das Saborni , Jena Chitralekha , Ogale Jyotsna , Ali Ahmed , Khan Baseem
Published: June 2023

This manuscript suggests quasi‐oppositional fast convergence evolutionary programming (QOFCEP) technique to determine short‐term generation scheduling of fixed head hydrothermal system comprising pumped storage hydro plants (PSHPs), solar PV plants (SPVPs) and wind turbine generators (WTGs) with demand response program (DRP). PSHPs are used with fixed head hydro power plants (FHPPs), thermal generating units (TGUs), SPVPs and WTGs to operate system conveniently. Uncertainties related to renewable generations and load demands have been considered. Self‐adaptive tent mapped scenarios of uncertain parameters are generated within higher level of confidence space to deal with the system uncertainties. DRP is applied to level the load demand curve and to enhance system flexibility and reduce operational cost. Numerical results of typical test system are matched with those attained by fast convergence evolutionary programming (FCEP) and evolutionary programming (EP).
CoGAN: Cooperatively trained conditional and unconditional GAN for person image generation
Authors: Liu Yang , Sheng Hao , Wang Shuai , Wu Yubin , Xiong Zhang
Published: June 2023

Person image generation aims to synthesize realistic person images that follow the same distribution as the given dataset. Previous attempts can be generally categorized into two classes: conditional GAN and unconditional GAN. The former usually uses pose information as condition to make pose transfer using GAN. The generated person have the same identity as the source person. The latter generates person images from scratch, and the real person images are only used as references for the discriminator. While conditional GAN is widely studied, unconditional GAN is also worth exploring because it can synthesize person image with new identity, which is a useful manner of data augmentation. These two types of generating methods have their different advantages and disadvantages, and sometimes they are complementary. This paper proposes a CoGAN to cooperatively train two types of GANs in an end‐to‐end framework. The two GANs serve different purposes, and can learn from each other during the cooperative learning procedure. The experimental results on public datasets show that the proposed CoGAN improves the performance of both baseline methods, and achieves competitive results compared with state‐of‐the‐art methods.
Exploiting statistical effective fault attack in a blind setting
Authors: Vafaei Navid , Soleimany Hadi , Bagheri Nasour
Published: June 2023

In order to obtain the secret key, the majority of physical attacks require knowledge of the plaintext or ciphertext, which may be unavailable or cannot be exploited. Blind attacks are introduced to do key recovery in circumstances where the adversary has no direct access to plaintext and ciphertext. A combination of fault and power attacks can circumvent typical countermeasures in this setting, for example, Fault Template Attack (FTA). However, FTA relies on bit fault injection, which is difficult to implement in practice. The SIFA‐blind, a framework for executing the Statistical Ineffective Fault Attack, is more flexible, but sensitivity to setup noise and missed faults is its main drawback. To address this deficiency, we suggest two ways to use Statistical Effective Fault Attack in a blind setting that are much less affected by missed faults and noise when measuring power traces, even though they do not use fault injection at the bit level. In order to demonstrate the viability and adaptability of our proposed attacks, we injected a fault via glitch frequency onto the ChipWhisperer board. While SEFA‐blind does not need a bit‐level fault, our results demonstrate that it is better than SIFA‐blind when the number of missed faults increases.
The payload of the Lunar Gravitational-wave Antenna
Authors: van Heijningen J. V. , ter Brake H. J. M. , Gerberding O. , Chalathadka Subrahmanya S. , Harms J. , Bian X. , Gatti A. , Zeoli M. , Bertolini A. , Collette C. , Perali A. , Pinto N. , Sharma M. , Tavernier F. , Rezvani J.
Published: June 2023

The toolbox to study the Universe grew on 14 September 2015 when the LIGO–Virgo collaboration heard a signal from two colliding black holes between 30 and 250 Hz. Since then, many more gravitational waves have been detected as detectors continue to increase sensitivity. However, the current and future interferometric detectors will never be able to detect gravitational waves below a few Hz due to oceanic activity on Earth. An interferometric space mission, the laser interferometer space antenna, will operate between 1 mHz and 0.1 Hz, leaving a gap in the decihertz band. To detect gravitational-wave signals also between 0.1 and 1 Hz, the Lunar Gravitational-wave Antenna will use an array of seismic stations. The seismic array will be deployed in a permanently shadowed crater on the lunar south pole, which provides stable ambient temperatures below 40 K. A cryogenic superconducting inertial sensor is under development that aims for fm/√Hz sensitivity or better down to several hundred mHz, and thermal noise limited below that value. Given the 106 m size of the Moon, strain sensitivities below 10−20 1/√Hz can be achieved. The additional cooling is proposed depending on the used superconductor technology. The inertial sensors in the seismic stations aim to make a differential measurement between the elastic response of the Moon and the inertial sensor proof-mass motion induced by gravitational waves. Here, we describe the current state of research toward the inertial sensor, its applications, and additional auxiliary technologies in the payload of the lunar gravitational-wave detection mission.
Double grazing bifurcation route in a quasiperiodically driven piecewise linear oscillator
Authors: Liu Run , Grebogi Celso , Yue Yuan
Published: June 2023

Considering a piecewise linear oscillator with quasiperiodic excitation, we uncover the route of double grazing bifurcation of quasiperiodic torus to strange nonchaotic attractors (i.e., SNAs). The maximum displacement for double grazing bifurcation of the quasiperiodic torus can be obtained analytically. After double grazing of quasiperiodic orbits, the smooth quasiperiodic torus wrinkles increasingly with the continuous change of the parameter. Subsequently, the whole quasiperiodic torus loses the smoothness by becoming everywhere non-differentiable, which indicates the birth of SNAs. The Lyapunov exponent is adopted to verify the nonchaotic property of the SNA. The strange property of SNAs can be characterized by the phase sensitivity, the power spectrum, the singular continuous spectrum, and the fractal structure. Our detailed analysis shows that the SNAs induced by double grazing may exist in a short parameter interval between 1 T quasiperiodic orbit and 2 T quasiperiodic orbit or between 1 T quasiperiodic orbit and 4 T quasiperiodic orbit or between 1 T quasiperiodic orbit and chaotic motion. Noteworthy, SNAs may also exist in a large parameter interval after double grazing, which does not lead to any quasiperiodic or chaotic orbits.
Active sites of Te-hyperdoped silicon by hard x-ray photoelectron spectroscopy
Authors: Hoesch Moritz , Fedchenko Olena , Wang Mao , Schlueter Christoph , Potorochin Dmitrii , Medjanik Katerina , Babenkov Sergey , Ciobanu Anca S. , Winkelmann Aimo , Elmers Hans-Joachim , Zhou Shengqiang , Helm Manfred , Schönhense Gerd
Published: June 2023

Multiple dopant configurations of Te impurities in close vicinity in silicon are investigated using photoelectron spectroscopy, photoelectron diffraction, and Bloch wave calculations. The samples are prepared by ion implantation followed by pulsed laser annealing. The dopant concentration is variable and high above the solubility limit of Te in silicon. The configurations in question are distinguished from isolated Te impurities by a strong chemical core level shift. While Te clusters are found to form only in very small concentrations, multi-Te configurations of type dimer or up to four Te ions surrounding a vacancy are clearly identified. For these configurations, a substitutional site location of Te is found to match the data best in all cases. For isolated Te ions, this matches the expectations. For multi-Te configurations, the results contribute to understanding the exceptional activation of free charge carriers in hyperdoping of chalcogens in silicon.
High quality GaN microplatelets grown by metal-organic vapor phase epitaxy on patterned silicon-on-insulator substrates: Toward micro light-emitting diodes
Authors: Baril Kilian , Coulon Pierre-Marie , Mrad Mrad , Labchir Nabil , Feuillet Guy , Charles Matthew , Gourgon Cécile , Vennéguès Philippe , Zuniga-Perez Jesus , Alloing Blandine
Published: June 2023

In this paper, we report the use of three pendeo-epitaxy growth approaches as a way of reducing the threading dislocation density (TDD) of 20 × 20 μm2 GaN platelets to be used for the development of micro light-emitting diodes (μLEDs). The method relies on the coalescence of GaN crystallites grown on top of a network of deformable pillars etched into a silicon-on-insulator substrate. Our approach takes advantage of the creeping properties of SiO2 at the usual GaN epitaxial growth temperature, allowing the GaN crystallites to align and reduce the grain boundary dislocations. Furthermore, this bottom-up approach allows to get rid of the dry plasma etching step for μLEDs fabrication, which highly deteriorates sidewalls, reducing the efficiency of future displays. By optimizing the growth conditions and inducing asymmetric nucleation, a TDD of 2.5 × 108 cm−2 has been achieved on the GaN platelets, while keeping a smooth surface.
Transparent quantum dot light-emitting diodes with a current focusing structure
Authors: Xiang Guohong , Ma Jingrui , Qu Xiangwei , Wang Kai , Kwok Hoi Sing , Sun Xiao Wei
Published: June 2023

We report transparent quantum dot light-emitting diodes with a current focusing structure. By depositing a SiO2 thin film to form the current focusing structure, the DC density and luminance significantly increased to over 8700 mA/cm2 and 360 000 cd/m2, respectively. The emission spectra and current densities as functions of SiO2 thickness and aperture width have been investigated and discussed. This current focusing design is proved effective and can be further applied to other planar light-emitting diode devices.
Adding a simple production term to Reynolds-averaged Navier–Stokes turbulence models for flows over two-dimensional hills
Authors: Mohamed Mohamed Arif , Wood David
Published: June 2023

We consider an additional production term for the k,ε turbulence model that is activated by curvature, for turbulent flow over two-dimensional hills of varying steepness. The new term depends on the difference between the strain rate, S, and the rotation, R, which we refer to as the “SR” modification. It is compared to the standard k,ε turbulence model, the Kato–Launder model, and the re-normalization group and realizable versions of the k,ε model. The Kato–Launder model showed the best overall predictions for mean velocity, turbulent kinetic energy, and Reynolds shear stress at most locations before, on, and after the crest of the hills. The SR model was slightly less accurate but uniquely predicted the flow separation in the lee of the steeper hill and was also correctly predicted the flow re-attachment point. This study demonstrates the importance of including a curvature production term in k–ε-based models for flows over hills.
An evolution of hyperbolic magneto-hydrodynamic (HMHD) wave propagating through radiative quantum plasma including cosmic ray pressure
Authors: Mansuri S. , Pensia R. K. , Patidar A. K. , Sutar D. L. , Dashora H.
Published: June 2023

The gravitational (Jeans) instability of radiative quantum plasma including cosmic ray (CR) pressure and diffusion is theoretically investigated using a generalized hyperbolic magneto-hydrodynamic model. It concurrently includes the impacts of the finite electrical resistivity, the Hall parameter, and the Coriolis force. The application of normal mode technique yields a unique form of a generalized dispersion relation. This dispersion relation is further discussed in the different modes of propagation with the different axis of rotation along the direction of the magnetic field. It has been noted that all the considered parameters affect the system's growth rate in both directions, but the Hall parameter does not affect it in the transverse direction. We also explored that together with the CRs, the Hall parameter, resistivity, rotation, and quantum parameter suppressed the Jeans instability's growth rate. Thus, these parameters act as stabilizing agents to the instability. The study identified radiative instability and analyzed the impact of an arbitrary heat-loss function on the system. The current findings provide new theoretical support to the existing various astronomic observations on the cosmic plasma and in the development of unique galactic formations of distinct scale lengths.
HCl, DCl and TCl diatomic molecules in their ground state: predicting Born–Oppenheimer rovibrational spectra
Authors: Olivares-Pilón Horacio , Turbiner Alexander V
Published: June 2023

The analytic Born–Oppenheimer (B-O) potential curve for the ground stateX1Σ+of the molecule (H,D,T)Cl is constructed for the whole range of internuclear distancesR∈[0,∞)with an accuracy of 3–5 significant figures in comparison with the Rydberg–Klein–Rees-style potential curve derived from available experimental data on vibrational energies. With an accuracy of 3–4 significant figures, energy predictions are made for HCl (DCl, TCl) for the 836 (1625, 2366) B-O rovibrational bound states with maximal vibrational numberνmax=20(29,35)and maximal angular momentumLmax=64(90,109), including 24 (46, 63) weakly-bound states (close to the dissociation limit) with energies≲10−4 Hartree. The insufficiency of existing experimental data is indicated, and predictions for the bulk of the missing rovibrational states are made for all HCl, DCl, and TCl molecules.
Stability of a two-electron system under pressure confinement: structural and quantum information theoretical analysis
Authors: Mondal Santanu , Sadhukhan Anjan , Sen Kalidas , Saha Jayanta K
Published: June 2023

The stability of a two-electron Zee system trapped inside an impenetrable spherical cavity is analyzed using an explicitly correlated multi-exponent Hylleraas-type basis set in the framework of the Ritz variational method. The wave function is considered to be consistent with Dirichlet’s boundary condition. Four different

Z
∈
[
1
,
(

Z

c

)
b

,
0.25
,
0.0
]

values are considered, where

(

Z

c

)
b

denotes the critical nuclear charge beyond which the system is embedded in a discrete positive energy continuum due to the impenetrable nature of the cavity. The energy contribution due to the total correlation (in the presence of both radial and angular correlation) effect, the radial correlation limit, and the angular correlation limit are also studied in detail. The thermodynamic pressure felt by the two-electron Zee system inside the cavity is estimated, and a formula replicating the behavior between the pressure and volume of the cavity is deduced by a fitting procedure. Different geometrical properties, e.g. radial moments (

⟨

r
1

p

⟩

,

⟨

r
1

r
2

⟩

,

⟨

r

12

p

⟩

,

⟨

r
<

⟩

,

⟨

r
>

⟩

; p =

1
−
3

), angular moments (

〈
cos

θ
1

〉

,

⟨
cos

θ

12

⟩

), and related important physical quantities, are determined. The variation of Kirkwood and Buckingham polarizabilities w.r.t. the pressure felt by the two-electron Zee system is analyzed. A one-electron radial density is estimated for each pair of (

Z
,
R

), which has been employed to generate the electrostatic potential as well as different information theoretical measures like Shannon entropy, Fisher entropy, Rényi entropy, Tsallis entropy, and Onicescu informational energy. The chosen information theoretical measures have been found to be sensitive tools for describing changes in the electronic structure due to spatial confinement. An interesting interplay between the electronic and nuclear contribution to the classical electrostatic potential is observed, leading to a shift in the position of its characteristic minimum due to compression. Wherever possible, a comparison is made in order to ascertain the high accuracy of our numerical results. The procedure of analytic evaluation of the integrals needed to estimate the atomic properties under consideration is discussed in detail.
Practical application of Pd-based bimetallic catalysts with enhanced selectivity supported by chelating resin for catalytic nitrate reduction in real water
Authors: Zang Ling , Shi Jialu , Shen Zhanhui
Published: June 2023

An innovative Pd-Me (Pd-Cu, Pd-In and Pd-Sn) bimetallic catalyst supported on porous chelating DOWEX M4195 resin (D) was established to reduce the nitrate almost entirely and achieved high selectivity to the expected harmless form of nitrogen. In this study, sodium borohydride (NaBH4) was applied in preparing bimetallic catalysts by liquid-phase reduction as the prestoring reductant. Pd-In/D and Pd-Sn/D groups performed well in N2 selectivity (all above 97%). In addition, Pd-In and Pd-Sn bimetallic catalysis yields higher selectivity towards N2 than the Pd-Cu pair in the presence of HCO3
−, Cl−, SO4
2− and humic acid. Likewise, in terms of N2 selectivity, Pd-In/D and Pd-Sn/D bimetallic catalysts were superior to that of Pd-Cu/D (72.16%) in the municipal wastewater treatment plant sewage. The current results provide insight into the superb reactivity, excellent stability, and most important—extremely high harmless N2 selectivity of Pd-In and Pd-Sn-based bimetallic catalysts in practical application and provide new ideas for enhancing the feasibility of the catalytic reduction of nitrate by minimizing environmentally harmful by-products.
ZnO nanorods anchored on CNTs incorporating carbon cloth flexible electrode as a highly sensitive electrochemical sensor
Authors: Shi Fengna , Li Jingfang , Chen Cheng , Wang Fang , Chen Naipin , Xu Ziqi , Wang Jiajun
Published: June 2023

Monitoring glucose, uric acid (UA) and hydrogen peroxide (H2O2) concentration has emerged as a critical health care issue to prevent acute complications and to minimize the hazard of long-term complications. In this paper, a novel non-enzyme electrochemical sensor was proposed with nanorod-like zinc oxide anchored on carbon nanotubes using a direct precipitation method and then decorated onto carbon cloth (ZnO/CNTs/CC). The ZnO/CNTs composite was characterized by x-ray photoelectron spectroscopy (XPS), Raman spectrum, TEM microscope and electrochemistry. The sensing of UA, glucose and H2O2 individually or simultaneously was done on a ZnO/CNTs/CC electrode, and the superior performance lies in its wide linear range, low detection limit and high selectivity, which is attributed to the synergistic effect of (a) the good electrocatalytic activity of ZnO nanorods, and (b) the large surface area with high conductivity offered by CNTs. Moreover, the ZnO/CNTs/CC electrode showed good reproducibility, stability and selectivity. Importantly, the developed sensor platform has been successfully applied to probe glucose, UA and H2O2 in human serum with satisfactory recoveries. Our proposed approach is simple in fabrication and operation, which provides a straightforward assay for the reliable and cost-effective determination of glucose, UA and H2O2 in clinical diagnosis and biomedical applications.
Construction of organic–inorganic hybrid heterostructure towards solvent responsive hydrogel with high stiffness
Authors: Wang Junju , Tang Jie , Lin Yichao , He Hong , Zhao Chaoshan , Ma Wenrui , Wang Xiang , Zeng Muling , Li Shunbo
Published: June 2023

Solvent responsive hydrogel is a kind of intelligent soft material, which can be used in soft robots. Currently, most of the solvent responsive hydrogels are based on pure organic materials which has limited stiffness for actuations. Herein, a novel organic–inorganic composite hydrogel is designed and prepared. Calcium phosphate oligomers nanoclusters are incorporated in polymer solution containing polyvinyl alcohol (PVA) and sodium alginate to form organic–inorganic hybrid copolymer suspensions. The solvent responsive hydrogel is simply prepared using co-evaporation method by optimizing the components in the colloid system. The inorganic nanoparticles work as the scaffold in the porous PVA network and the evaporation caused nonuniformity distribution further induces the formation of heterostructure, which has different shrinkage ratios along the thickness direction. The prepared hydrogel demonstrates excellent shape memory property by changing the environmental solvents between water and ethanol and its repeatability is also verified. The stiffness of hydrogel is enhanced and it has large deformation after incorporation of calcium phosphate nanoparticles. The bending angle of hydrogel can be well controlled by different water to ethanol ratios, allowing for underwater actuation. The functionality of an artificial gripper based on responsive hydrogel with high stiffness is demonstrated to transfer objects in ethanol. The design of organic–inorganic composite hydrogel with high stiffness may provide new insights for preparation of intelligent soft materials for underwater applications.
A study on stochastic longitudinal wave equation in a magneto-electro-elastic annular bar to find the analytical solutions
Authors: Miah M Mamun , Iqbal M Ashik , Osman M S
Published: June 2023

In this paper, we set up dynamic solitary perturb solutions of a unidirectional stochastic longitudinal wave equation in a magneto-electro-elastic annular bar by a feasible, useful, and influential method named the dual

G
′

/
G
,

1
/
G

-expansion method. Computer software, like Mathematica, is used to complete this discussion. The obtained solutions of the proposed equation are classified into trigonometric, hyperbolic, and rational types which play an important role in searching for numerous scientific events. The technique employed here is an extension of the (

G
′

/
G

)-expansion technique for finding all previously discovered solutions. To illustrate our findings more clearly, we provide 2D and 3D charts of the various recovery methods. We then contrasted our findings with those of past solutions. The graphical illustrations of the acquired solutions are singular periodic solitons and kink solitons which are added at the end of this paper.
Efficient semi-quantum secret sharing protocol using single particles
Authors: Xing Ding , Wang Yifei , Dou Zhao , Li Jian , Chen Xiubo , Li Lixiang
Published: June 2023

Semi-quantum secret sharing (SQSS) is a branch of quantum cryptography which only requires the dealer to have quantum capabilities, reducing the difficulty of protocol implementation. However, the efficiency of the SQSS protocol still needs to be further studied. In this paper, we propose a semi-quantum secret sharing protocol, whose efficiency can approach 100% as the length of message increases. The protocol is based on single particles to reduce the difficulty of resource preparation. Particle reordering, a simple but effective operation, is used in the protocol to improve efficiency and ensure security. Furthermore, our protocol can share specific secrets while most SQSS protocols could not. We also prove that the protocol is secure against common attacks.
Blind quantum computation with a client performing different single-qubit gates
Authors: Wu 吴 Guang-Yang 光阳 , Yang 杨 Zhen 振 , Yan 严 Yu-Zhan 玉瞻 , Luo 罗 Yuan-Mao 元茂 , Bai 柏 Ming-Qiang 明强 , Mo 莫 Zhi-Wen 智文
Published: June 2023

In the field of single-server blind quantum computation (BQC), a major focus is to make the client as classical as possible. To achieve this goal, we propose two single-server BQC protocols to achieve verifiable universal quantum computation. In these two protocols, the client only needs to perform either the gate T (in the first protocol) or the gates H and X (in the second protocol). With assistance from a single server, the client can utilize his quantum capabilities to generate some single-qubit states while keeping the actual state of these qubits confidential from others. By using these single-qubit states, the verifiable universal quantum computation can be achieved.
Realization of high-fidelity and robust geometric gates with time-optimal control technique in superconducting quantum circuit
Authors: Wang 王 Zhimin 治旻 , Ma 马 Zhuang 壮 , Yu 喻 Xiangmin 祥敏 , Zheng 郑 Wen 文 , Zhou 周 Kun 坤 , Zhang 张 Yujia 宇佳 , Zhang 张 Yu 钰 , Lan 兰 Dong 栋 , Zhao 赵 Jie 杰 , Tan 谭 Xinsheng 新生 , Li 李 Shaoxiong 邵雄 , Yu 于 Yang 扬
Published: June 2023

One of the key features required to realize fault-tolerant quantum computation is the robustness of quantum gates against errors. Since geometric quantum gate is naturally insensitivity to noise, it appears to be a promising routine to achieve high-fidelity, robust quantum gates. The implementation of geometric quantum gate however faces some troubles such as its complex interaction among multiple energy levels. Moreover, traditional geometric schemes usually take more time than equivalent dynamical ones. Here, we experimentally demonstrate a geometric gate scheme with the time-optimal control (TOC) technique in a superconducting quantum circuit. With a transmon qubit and operations restricted to two computational levels, we implement a set of geometric gates which exhibit better robustness features against control errors than the dynamical counterparts. The measured fidelities of TOC X gate and X/2 gate are 99.81% and 99.79% respectively. Our work shows a promising routine toward scalable fault-tolerant quantum computation.
Effects of quantum quench on entanglement dynamics in antiferromagnetic Ising model
Authors: Li 李 Yue 玥 , Fang 房 Panpan 盼盼 , Wang 王 Zhe 哲 , Zhang 张 Panpan 盼盼 , Xu 徐 Yuliang 玉良 , Kong 孔 Xiangmu 祥木
Published: June 2023

We study the relationship between quench dynamics of entanglement and quantum phase transition in the antiferromagnetic Ising model with the Dzyaloshinskii–Moriya (DM) interaction by using the quantum renormalization-group method and the definition of negativity. Two types of quench protocols (i) adding the DM interaction suddenly and (ii) rotating the spins around x axis are considered to drive the dynamics of the system, respectively. By comparing the behaviors of entanglement in both types of quench protocols, the effects of quench on dynamics of entanglement are studied. It is found that there is the same characteristic time at which the negativity firstly reaches its maximum although the system shows different dynamical behaviors. Especially, the characteristic time can accurately reflect the quantum phase transition from antiferromagnetic to saturated chiral phases in the system. In addition, the correlation length exponent can be obtained by exploring the nonanalytic and scaling behaviors of the derivative of the characteristic time.
Optimization of thermoelectric properties in elemental tellurium via high pressure
Authors: Zhao 赵 Dongyao 东尧 , Yang 杨 Manman 曼曼 , Sun 孙 Hairui 海瑞 , Chen 陈 Xin 欣 , Zhang 张 Yongsheng 永胜 , Liu 刘 Xiaobing 晓兵
Published: June 2023

High pressure and high temperature (HPHT) technology, as an extreme physical condition, plays an important role in regulating the properties of materials, having the advantages of enhancing doping efficiency, refining grain size, and manufacturing defects, therefore it is quite necessary to study the effectiveness on tuning thermoelectric properties. Elemental telluride, a potential candidate for thermoelectric materials, has the poor doping efficiency and high resistivity, which become an obstacle for practical applications. Here, we report the realization of a dual optimization of electrical behaviors and thermal conductivity through HPHT method combining with the introduction of black phosphorus. The results show the maximum zT of 0.65 and an average zT of 0.42 (300 K–610 K), which are increased by 55% and 68% in the synthesis pressure regulation system, respectively. This study clarifies that the HPHT method has significant advantages in modulating the thermoelectric parameters, providing a reference for seeking high performance thermoelectric materials.
Genuine entanglement under squeezed generalized amplitude damping channels with memory
Authors: Ali Mazhar
Published: June 2023

We study genuine entanglement among three qubits undergoing a noisy process that includes dissipation, squeezing, and decoherence. We obtain a general solution and analyze the asymptotic quantum states. We find that most of these asymptotic states can be genuinely entangled depending upon the parameters of the channel, memory parameter, and the parameters of the initial states. We study Greenberger–Horne–Zeilinger (GHZ) states and W states, mixed with white noise, and determine the conditions for them to be genuinely entangled at infinity. We find that for these mixtures, it is possible to start with a bi-separable state (with a specific mixture of white noise) and end with genuine entangled states. However, the memory parameter μ must be very high. We find that in contrast to the two-qubit case, none of the three-qubit asymptotic states for n → ∞ are genuinely entangled.
Enhanced ferromagnetism and conductivity of ultrathin freestanding La0.7Sr0.3MnO3 membranes
Authors: Shan 单 Siqi 思齐 , Chen 陈 Yequan 业全 , Chen 陈 Yongda 勇达 , Zhuang 庄 Wenzhuo 文卓 , Liu 刘 Ruxin 汝新 , Zhang 张 Xu 旭 , Zhang 张 Rong 荣 , Wang 王 Xuefeng 学锋
Published: June 2023

We report a universal method to transfer freestanding La0.7Sr0.3MnO3 membranes to target substrates. The 4-unit-cell-thick freestanding La0.7Sr0.3MnO3 membrane exhibits the enhanced ferromagnetism, conductivity and out-of-plane magnetic anisotropy, which otherwise shows nonmagnetic/antiferromagnetic and insulating behavior due to the intrinsic epitaxial strain. This work facilitates the promising applications of ultrathin freestanding correlated oxide membranes in electronics and spintronics.
MoS2 nanocomposites for biomolecular sensing, disease monitoring, and therapeutic applications
Authors: Harini Karthick , Girigoswami Koyeli , Pallavi Pragya , Gowtham Pemula , Thirumalai Anbazhagan , Charulekha Kamalakkannan , Girigoswami Agnishwar
Published: June 2023

The unique physicochemical properties of MoS2 nanocomposites have drawn escalation in attention for the diagnosis and therapy of cancer. Mostly the 2D forms of MoS2 find application in sensing, catalysis, and theranostics, where it was traditionally applied in lubrication and battery industries as electrodes or intercalating agents. As nanostructures, MoS2 has a very high surface-to-volume ratio, and that helps in the engineering of structures and surfaces to promote absorption of a wide range of therapeutics and biomolecules through covalent or non-covalent interaction. This surface engineering provides excellent colloidal stability to MoS2 and makes them ideal nanomedicines with higher selectivity, sensitivity, and biomarker sensing ability. Furthermore, MoS2 exhibits exceptionally well optical absorption of NIR radiation and photothermal conversion, which helps in the NIR-responsive release of payloads in photothermal and photodynamic therapy. There are several reports that the fabricated MoS2 nanomedicines can selectively counter the tumor microenvironment, which leads to the accumulation of therapeutics or imaging agents in the diseased tissues to improve the therapeutic effects decreasing the adverse effects on the healthy cells. An overview of the basic structure and properties of MoS2 is presented in this article, along with an elaborative description of its morphology. At the same time, an attempt was made in this review to summarize the latest developments in the MoS2 structure, surface engineering, and nanocomposite formulations for improving biocompatibility, bioavailability, biomolecular sensing, and theranostic applications.
A Driver in Health Outcomes: Developing Discrete Categories of Transportation Insecurity
Authors: McDonald-Lopez Karina , Murphy Alexandra K , Gould-Werth Alix , Griffin Jamie , Bader Michael D M , Kovski Nicole
Published: June 2023

Research suggests that transportation is an important social determinant of health, because the ability to get around is consequential for accessing health care and nutritious food and for making social connections. We used an inductive mixed-methods approach and a quantitative k-means clustering approach to identify 5 categories of transportation insecurity using the validated 16-item Transportation Security Index. The resulting 5-category measure distinguished among respondents with qualitatively different experiences of transportation insecurity. Analyzing data from 2018 that were representative of the US adult population aged 25 years or older, we demonstrated a nonparametric association between transportation insecurity and 2 different health measures (self-rated health and depressive symptoms). There was a threshold relationship between self-rated health and any level of transportation insecurity. High transportation insecurity had a very strong relationship with depressive symptoms. The categorical Transportation Security Index will be useful for clinicians who wish to screen for transportation-related barriers to health care. It will also facilitate research investigating the influence of transportation insecurity on health outcomes and provide the basis for interventions designed to address health disparities.
An update on drug-drug interactions for care of the acutely ill in the era of COVID-19
Authors: Patanwala Asad E , Jager Nynke G L , Radosevich John J , Brüggemann Roger
Published: June 2023

Purpose

To provide key pharmacological concepts underlying drug-drug interactions (DDIs), a decision-making framework, and a list of DDIs that should be considered in the context of contemporary acutely ill patients with COVID-19.

DDIs are frequently encountered in the acutely ill. The implications of DDIs include either increased risk of drug toxicity or decreased effectiveness, which may have severe consequences in the acutely ill due to lower physiological and neurocognitive reserves in these patients. In addition, an array of additional therapies and drug classes have been used for COVID-19 that were not typically used in the acute care setting. In this update on DDIs in the acutely ill, we provide key pharmacological concepts underlying DDIs, including a discussion of the gastric environment, the cytochrome P-450 (CYP) isozyme system, transporters, and pharmacodynamics in relation to DDIs. We also provide a decision-making framework that elucidates the identification of DDIs, risk assessment, selection of alternative therapies, and monitoring. Finally, important DDIs pertaining to contemporary acute care clinical practice related to COVID-19 are discussed.

Conclusion

Interpreting and managing DDIs should follow a pharmacologically based approach and a systematic decision-making process to optimize patient outcomes.
The optimal time to approach an unfamiliar object: a Bayesian model
Authors: Sherratt Tom N , Dewan Ian , Skelhorn John
Published: June 2023

Many organisms take time before approaching unfamiliar objects. This caution forms the basis of some well-known assays in the fields of behavioral ecology, comparative psychology, and animal welfare, including quantifying the personality traits of individuals and evaluating the extent of their neophobia. In this paper, we present a mathematical model which identifies the optimal time an observer should wait before approaching an unfamiliar object. The model is Bayesian, and simply assumes that the longer the observer goes without being attacked by an unfamiliar object, the lower will be the observer’s estimated probability that the object is dangerous. Given the information gained, a time is reached at which the expected benefits from approaching the object begin to exceed the costs. The model not only explains why latency to approach may be repeatable among individuals and varies with the object’s appearance but also why individuals habituate to the stimulus, approaching it more rapidly over repeated trials. We demonstrate the applicability of our model by fitting it to published data on the time taken by chicks to attack artificial caterpillars that share no, one, or two signaling traits with snakes (eyespots and posture). We use this example to show that while the optimal time to attack an unfamiliar object reflects the observer’s expectation that the object is dangerous, the rate at which habituation arises is also a function of the observer’s certainty in their belief. In so doing, we explain why observers become more rapidly habituated to “weaker” stimuli than the “stronger” ones.
Two-Year Outcomes of Treatment-Experienced Adults After Programmatic Transitioning to Dolutegravir: Longitudinal Data From the VICONEL Human Immunodeficiency Virus Cohort in Lesotho
Authors: Tschumi Nadine , Lerotholi Malebanye , Motaboli Lipontso , Mokete Moliehi , Labhardt Niklaus D , Brown Jennifer A
Published: June 2023

In the Viral Load Cohort North-East Lesotho (VICONEL) human immunodeficiency virus cohort, 14 242 adults had transitioned from efavirenz- or nevirapine-based antiretroviral therapy (ART) to dolutegravir-based ART by October 2021. Rates of viral suppression to <50 copies/mL were 84.8%, 93.9%, and 95.4% before, 12 months after, and 24 months after transition, respectively. Sex, age, pretransition viral load, and treatment backbone correlated with 24-month viremia.
Time, equilibrium and uncertainty: Bergson and Robinson
Authors: Culham James
Published: June 2023

The philosophy of Henri Bergson can lend fresh perspectives on some central aspects of post-Keynesian economic thought. Bergson’s concept of duration offers philosophical reinforcement for Joan Robinson’s criticisms of the treatment of time, equilibrium and uncertainty in economics. When the economy is recognised to be a dynamic living system, in which the accumulation of capital is an historical process inseparable from technical innovation, the effect of time is of utmost importance. Duration provides greater understanding of an economy moving through historical time, while adding depth to Robinson’s doubts about the validity of utility, and consequently expected utility theory. Bergson’s philosophy of evolution and duration provides a valuable basis for understanding many of the classical issues in political economy.
Design and methodology of the PRIMETIME 1 cohort study: PRecIsion MEdicine based on kidney TIssue Molecular interrogation in diabetic nEphropathy
Authors: Jensen Karina Haar , Persson Frederik , Hansen Ditte , Bressendorff Iain , Møller Marie , Rossing Peter , Gravesen Eva , Kosjerina Vanja , Vistisen Dorte , Borg Rikke
Published: June 2023

Background

Clinical features of diabetic kidney disease alone cannot differentiate between the histopathology that defines diabetic nephropathy (DN) and non-diabetic nephropathy (NDN). A kidney biopsy is necessary to make the definitive diagnosis of DN. However, there is no consensus on when to perform a kidney biopsy in individuals with diabetes and kidney disease. Furthermore, the implications of NDN versus DN for management, morbidity and kidney prognosis are unclear. To address the gap in knowledge, we aimed to create a national retrospective cohort of people with diabetes and a performed kidney biopsy.

Methods

Adults diagnosed with diabetes in Denmark between 1996 and 2020 who had a kidney biopsy performed were included. The cohort was established by linking a nationwide diabetes registry with the Danish Pathology Registry. Data from 11 national registries and databases were compiled. The type of kidney disease was classified using a three-step analysis of Systematized Nomenclature of Medicine codes reported in relation to the histopathological examinations of kidney tissue. The final cohort and classification of kidney disease was as follows: out of 485 989 individuals with diabetes 2586 were included, 2259 of whom had type 2 diabetes. We were able to classify 599 (26.5%) with DN, 703 (31.1%) with NDN and 165 (7.3%) with mixed disease in individuals with type 2 diabetes. In individuals with type 1 diabetes, 132 (40.4%) had DN, 73 (22.3%) NDN and 39 (11.9%) mixed disease. The remaining could not be classified or had normal histology. The overall median (Q1–Q3) follow-up time was 3.8 (1.6–7.2) years.

Conclusions

This cohort is a novel platform based on high-quality registry data for important longitudinal studies of the impact of kidney disease diagnosis on prognosis. With regular updates of data from the Danish registries, the presented follow-up will increase over time and is only limited by emigration or death.