bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dark matter candidates in the NMSSM with RH neutrino superfields
Authors: López-Fogliani Daniel E. , Perez Andres D. , Ruiz de Austri Roberto 
Published: April 2021

Abstract
R-parity conserving supersymmetric models with right-handed (RH) neutrinos are very appealing since they could naturally explain neutrino physics and also provide a good dark matter (DM) candidate such as the lightest supersymmetric particle (LSP). In this work we consider the next-to-minimal supersymmetric standard model (NMSSM) plus RH neutrino superfields, with effective Majorana masses dynamically generated at the electroweak scale (EW). We perform a scan of the relevant parameter space and study both possible DM candidates: RH sneutrino and neutralino. Especially for the case of RH sneutrino DM we analyse the intimate relation between both candidates to obtain the correct amount of relic density.
Besides the well-known resonances, annihilations through scalar quartic couplings and coannihilation mechanisms with all kind of neutralinos, are crucial. Finally, we present the impact of current and future direct and indirect detection experiments on both DM candidates.
Effect of physical distancing on the speed–density relation in pedestrian dynamics
Authors: Echeverría-Huarte I , Garcimartín A , Parisi D R , Hidalgo R C , Martín-Gómez C , Zuriguel I 
Published: April 2021

Abstract
We report experimental results of the speed–density relation emerging in pedestrian dynamics when individuals keep a prescribed safety distance among them. To this end, we characterize the movement of a group of people roaming inside an enclosure varying different experimental parameters: (i) global density, (ii) prescribed walking speed, and (iii) suggested safety distance. Then, by means of the Voronoi diagram we are able to compute the local density associated to each pedestrian, which is afterward correlated with its corresponding velocity at each time. In this way, we discover a strong dependence of the speed–density relation on the experimental conditions, especially with the (prescribed) free speed. We also observe that when pedestrians walk slowly, the speed–density relation depends on the global macroscopic density of the system, and not only on the local one. Finally, we demonstrate that for the same experiment, each pedestrian follows a distinct behavior, thus giving rise to multiple speed–density curves.
On dissipative symplectic integration with applications to gradient-based optimization
Authors: França Guilherme , Jordan Michael I , Vidal René 
Published: April 2021

Abstract
Recently, continuous-time dynamical systems have proved useful in providing conceptual and quantitative insights into gradient-based optimization, widely used in modern machine learning and statistics. An important question that arises in this line of work is how to discretize the system in such a way that its stability and rates of convergence are preserved. In this paper we propose a geometric framework in which such discretizations can be realized systematically, enabling the derivation of ‘rate-matching’ algorithms without the need for a discrete convergence analysis. More specifically, we show that a generalization of symplectic integrators to non-conservative and in particular dissipative Hamiltonian systems is able to preserve rates of convergence up to a controlled error. Moreover, such methods preserve a shadow Hamiltonian despite the absence of a conservation law, extending key results of symplectic integrators to non-conservative cases. Our arguments rely on a combination of backward error analysis with fundamental results from symplectic geometry. We stress that although the original motivation for this work was the application to optimization, where dissipative systems play a natural role, they are fully general and not only provide a differential geometric framework for dissipative Hamiltonian systems but also substantially extend the theory of structure-preserving integration.
Nontrivial anomalous diffusions induced by the harmonic velocity Lévy noise
Authors: Li Feifei , Zhu Ping , Bao Jing-Dong , Chen Xiaosong , Liu Jian 
Published: April 2021

Abstract
Moving in the force-free potential and the tilted periodic potential, the diffusion of the under-damped particle subjected to correlated Lévy noise, i.e. the harmonic velocity Lévy noise, is investigated in this paper. We find that the underlying negative time correlation, especially the strong one, distinctly collides with the long-tailed nature of the noise, which results in a multi-diffusive process in the force-free potential. In the tilted periodic potential, strong correlation means that the transport of particle cannot be separated as the typical locked state and running state in coordinate space. Correspondingly, the anomalous diffusion in the tilted periodic potential does not hold anymore, which becomes a normal shape at asymptotic timescale.
Donepezil loaded PLGA Nanoparticles, from Modified Nano-Precipitation, an Advanced Drug Delivery System to treat Alzheimer Disease
Authors: Tripathi S K , Patel B , Shukla S , Pachouri C , Pathak S , Pandey A 
Published: April 2021

Abstract
In present works we synthesized Donepezil loaded PLGA nanoparticles (NPs). The approach of our research group was to prove the improvement of drug transport through the Blood Brain Barrier when donepezil was loaded with PLGA. It promoted the uptake of drug into brain endothelium compared with the free drug and play a significant role in the treatment of Alzheimer’s disease (AD). The NPs were synthesized by modified Nano precipitation method. These synthesized polymeric nanoparticles were characterized for particle size, Polydispersity index (PDI) and Zeta potential. The average size and PDI of drug loaded polymeric nanoparticle for preferred formulation were found to be 40.8 nm and 0.188 respectively. The Entrapment Efficiency was 74% and Process yield was 78%. The electron microscopic images of polymeric nanoparticles suggested that the particles were spherical in shape. The pharmacokinetics showed that the release behavior of NPs were very much similar to sustained release and follow Hixson Crowell model.
Temporal instability of Walter’s B viscoelastic fluid film
Authors: Dharamendra  , Awasthi Mukesh Kumar 
Published: April 2021

Abstract
The stability of an interface formed by Walter’ B viscoelastic liquid and viscous incompressible fluid is examined. These fluids lie in an annular region enclosed by two cylindrical shapes rigid boundaries. The surface tension effect is considered at the interface and therefore, the interface obeys capillary instability. The potential flow theory of viscoelastic-viscous fluids is utilized to compute the solution of modeled equations and the normal mode technique is enforced for the calculation of perturbation’s growth. A two-degree algebraic equation is established to obtain the stability/instability criterion. We found that the perturbations grow slower at the interface containing Walter’s B viscoelastic fluid than the corresponding Newtonian fluid.
Patterned hydrodynamic slip flow control and thermal transport in a wavy microchannel through porous medium with combined Electromagnetohydrodynamic effect
Authors: Rana Amalendu , Shit Gopal Chandra , Reza Motahar 
Published: April 2021

Abstract
A conceptual exploration is conducted to analyze the numerical experiment of the pattern hydrodynamic slip flow control and thermo-fluidic transport features coupled with the influence of the combined electromagnetohydrodynamic (EMHD) effect in a wavy microchannel through the porous medium. The constitutive equations for the velocity distribution and energy distribution are represented by a set of non-linear differential equations. These equations are solved numerically by employing a shooting technique based on the fourth-order Runge-Kutta method. The effect of Joule heating and temperature jump on the temperature distribution is also discussed in this study. The significant impacts of the electromagnetic force, the porosity of medium, Forchhemier inertia parameter, the impression of the wavy-walls amplitude, the effect of the wavenumber of the slip length on momentum, and thermal transport are discussed in this investigation. It is revealed that the velocity and the temperature both are augmented with the improvement of the amplitude of the wavy wall of the microchannel but the wave number of the slip length minimize the velocity as well as the temperature of the fluid.
M/M/1 Queueing Model with Working Vacation and Two Type of Server Breakdown
Authors: Agrawal Praveen Kumar , Jain Anamika , Jain Madhu 
Published: April 2021

Abstract
In this paper the steady state probability distribution of the number of customers in single server Markovian queue is obtained by using matrix geometric approach with working vacation where server may breakdown in working vacation state as well as in busy state. The arrival of the customer is depends upon the server’s state and arrival follows FCFS discipline. The server is made available for rendering alternate service to customers. The inter-arrival time of the customers, service time, vacation duration, and lifetime and repair time of the server follows an exponential distribution. Numerical illustrations are made to examine the validity of analytical results. Sensitivity analysis is also made of in order to discover the outcome of various parameters on the system performance physical appearance.
A theoretical estimate on the probability of the formation of a self-avoiding copolymer macromolecule
Authors: Mishra Pramod Kumar 
Published: April 2021

Abstract
An infinitely long copolymer chain has been chosen as a directed self avoiding walk on a cubic lattice to understand the thermodynamics of the formation of a semi-flexible copolymer chain; and this linear copolymer chain is made of four different types of the monomers. A method of the recursion relations is used to solve the proposed model analytically for the semi-flexible self-avoiding copolymer chain; and it has been shown that the probability of the formation of a self-avoiding semi-flexible copolymer chain is independent of the stiffness of the copolymer chain. The result so obtained is a distinct result from our earlier findings on the formation of the Gaussian semi-flexible copolymer chain and the Gaussian chain is made up of these four monomers, [P. K. Mishra, 2020 J. of Adv. Appl. Sci. Res. 2(4) 1-8]. The distinction in the thermodynamics of the self-avoiding copolymer chain from the Gaussian copolymer chain has been further confirmed on the basis of calculations on an average number of different types of the bonding in the copolymer chain.
First-principles investigations of electronic and magnetic properties of Fe2V1-xCrxSi Heusler alloys
Authors: Joshi P K , Kumar K , Arora G , Mali D , Jangid P K , Ahuja B L 
Published: April 2021

AbstractFull-Heusler alloys with chemical formula X2YZ (X and Y being 3d and 4d transition metal elements and Z is p-block element) are interesting intermetallics because of their half metallic and spintronics applications. In this paper, the effect of doping of Cr atom at V-site of full-Heusler Fe2V1-xCrxSi (x=0, 0.5, 1.0) on their electronic and magnetic response is studied using full potential linearized augmented plane wave method. It is observed that Fe2VSi and Fe2V0.5Cr0.5Si does not show half-metallic character while Fe2CrSi alloy shows half-metallicity. We observe increase in total magnetic moment with increasing Cr concentration in Fe2V1-xCrxSi. Further, density of states and energy bands are discussed to interpret the half-metallic character in Fe2V1-xCrxSi.
Methanol sensing using Zn doped NiO nanoparticles
Authors: Shailja  , Singh Kanwarjit , Singh Ravi Chand , Sharma Sandeep 
Published: April 2021

Abstract
In the present study, we report gas sensing properties of Zinc doped nickel oxide nanoparticles. The Zn doped NiO samples were successfully synthesized by chemical co-precipitation method at room-temperature. Raman studies revealed the presence of defects such as nickel vacancies, which encourage the better sensing results. These defects are essential for providing active sites for adsorption of gaseous molecules and assists in improving the sensing parameters. Further, the sensor response of device has been found to be 7.2 when exposed to 100 ppm of methanol at 260 °C. Obtained Zn doped NiO sensor was found to be selective towards methanol as compared to other volatile compounds including, ethanol, acetone, ammonia and hydrogen.
Urtica Diocia Leaves Extract: A Natural Resource to Reduce Iron Salt to Synthesize Fe Nanoparticles
Authors: Kala Shubhra , Nigam Anju 
Published: April 2021

Abstract
This paper demonstrates synthesis of iron nanoparticles by using leaves extract of Urtica Dioica plant, a natural resource to reduce the iron salt. Moreover, leaves extract also acts as a stabilizing agent in protecting dispersed Fe nanoparticles. The absorption peak is observed in the range of 367-427 nm, indicating formation of Fe nanoparticles, however with partial oxidation. The Fe nanoparticles were obtained in powder form after centrifugation, thorough washing and drying processes. Fe nanoparticles were further analyzed by different analytical techniques like; XRD, SEM, TEM and XPS. The size range of the synthesized Fe nanoparticles was found to be dependent on leaves extract concentration which further influences structure and hence stability. Signature of oxidation also was revealed by XPS studies after long exposure to air ambient.
Study on Impact Properties of New Composite Metal Porous Materials Based on Data Analysis
Authors: Yang Xiran 
Published: April 2021

Abstract
The new composite metal porous materials are widely used in sophisticated structure based systems as for their great influence on properties. While, it is endowed with potential in its role of decreasing the weight of products, costs of material as well as recycling. The new composite metal porous materials with customized mechanical and impact properties have also attracted the attention of researchers in industrial structural applications. Hybrid technology is one of the important and effective methods to enhance the properties of composite metal materials. In this paper, the influencing functions of properties of composite porous metal materials are investigated in order to improve their structural characteristics, especially the research on the enhanced impact resistance of composite porous metal materials.
Relationship between the Line Structured Light Vision Calibration Accuracy and Hardware Parameters
Authors: Zhao Jinghe , Tan Qingchang , Jiang Bo , Hu Jing , Liu Siyuan 
Published: April 2021

Abstract
The line structured light vision has better robustness and higher measurement accuracy as an active vision measurement method, which is widely used in the measurement of component size and shape tolerance. The calibration is a key technology of vision measurement. The calibration accuracy is not only affected by the calibration algorithm, but the parameters of the hardware equipment also have an important impact on the final calibration accuracy. Based on the analysis of the calibration algorithm, this paper conducts a theoretical analysis on the selection of the main hardware parameters, and uses the orthogonal experiment method to determine the relationship between the equipment parameters and the calibration accuracy. In the experiments, the aperture has the greatest impact on the calibration accuracy among the main equipment parameters, and the calibration accuracy is the highest when the camera aperture is between F4-F8.
Estimation of the Price Range of Power Grid Technological Transformation Based on Walsh Average
Authors: Yang Fan , Zhu Xiaohu , Li Jianqing 
Published: April 2021

Abstract
With the continuous improvement of the construction of power grid projects, the pressure to transform power grid equipment is increasing. It is particularly important to perform reasonable data processing for the transformation costs of various types and voltage levels of power grid equipment. The data processing method based on Walsh average has an efficiency advantage in dealing with the non-normal parameter distribution. Based on the traditional statistical processing of power grid technical renovation price data, this paper combines the Walsh average comprehensive data processing method to obtain the final technical renovation price data for the overall range of various equipment. First, conduct a preliminary analysis of the sample, use the box plot to eliminate outliers, and then use the Walsh average model to obtain an estimate of the power grid technological transformation price range. In this paper, the real data is processed to verify the feasibility of the comprehensive data processing method and use this method to obtain a more appropriate confidence interval for the unit cost of each type of power grid equipment at each voltage level. The condition of the equipment is of great significance to guide the subsequent technological transformation projects and provide references for them.
High Performance Liquid Chromatography-Determination of Different Speciations of Arsenic in Cosmetics by Inductively Coupled Plasma Mass Spectrometry
Authors: Pang Yanhua , Liu Shuyan , Zhang Ning , Sun Yao , Xie Yan , Wang Nan 
Published: April 2021

Abstract
There is a way to determine four arsenic speciations simultaneously in cosmetic by using liquid chromatography (HPLC) with inductively coupled plasma mass spectrometer (ICP-MS). After being extracted by phosphoric acid solution, the samples were separated by PRP-X100 anion chromatographic column. The mobile phase was aqueous solution (pH=6.0) containing 1% methanol (V/V), 2.0 mmol/L NaH2PO4 and 0.2 mmol/L ethylene diamine tetraacetic acid (EDTA). The octopole reaction cell was adopted to eliminate mass spectrum interferences. The separation of AsIII､DMA､MMA and AsV was achieved within 12 min with flow rate of 1.00 mL/min and sample size of 100 μL. The recovery rates of AsIII, DMA, MMA and As Vranged from 80.6% to 107.2% and the relative standard deviations were less than 6.24% when the spiked amount was 0.10∼ 1.00 μg in different kinds of cosmetic samples. The developed method has the advantage of simplicity, sensitivity and good reproducibility, and can be used for the determination of arsenic speciations simultaneously in cosmetics.
Hyperspectral Anomaly Detection Based on Subspace Low-Rank Decomposition
Authors: Wang Shengming , Wang Tao 
Published: April 2021

Abstract
This paper mainly studies the anomaly detection algorithm on the basis of denoising and reconstruction of hyperspectral image, combined with some basic methods, such as subspace representation, tensor decomposition, spectral global and spatial non-local similar low-rank decomposition, norm constraint and so on. the mixed noise (Gaussian noise, impulse noise and dead line) of hyperspectral images which seriously affect the accuracy of anomaly detection are preprocessed. On this basis, the global RX algorithm is used to detect anomalies in the denoised hyperspectral image, and the simulation data are compared with the original real data. The experimental results show that the subspace low-rank decomposition anomaly detection algorithm is better than other existing algorithms in speed and accuracy, which shows the feasibility and superiority of this algorithm.
Facial Skin Monitoring System Based on Image Processing
Authors: Mu Honghui , Zhang Jiayan , Xu Ting 
Published: April 2021

Abstract
The face skin quality tester can give reasonable skin care recommendations for the replication situation, so it has a broad market prospect. The current domestic testers have shortcomings such as single detection function, low detection accuracy, complicated operation, expensive price and large volume. This paper studies the image processing algorithm for skin quality index detection, including oil and pigment detection based on HSV color space, pore detection based on dual threshold segmentation and morphological operations, and roughness index detection based on gray-level co-occurrence matrix. And based on the CBS-1800 detection system as the standard, the skin quality index detection algorithm in this paper has been effectively verified.
Applications in the Electric Power Industry based on Multi-Service Optical Transport Network
Authors: Yang Hongzhen , Mao Xiuwei , Zhao Yuhu , Chen Xiaozhou 
Published: April 2021

Abstract
Transmission technologies are crucial to the automatic electric power systems in the smart grids. The goal is the higher bandwidth and reliability, just as in power line communication, microwave transmission, and the latest optical fiber communication. Based on the time division multiplexing, the fiber communication develops from the plesiochronous digital hierarchy and the synchronous digital hierarchy to optical transport network. The system can transmit the signal securely through hard pipes. Based on the synchronous digital hierarchy, optical transport network and the packet transport technologies, the MS-OTN is expected to offer secure, reliable, and flexible transmission for future electric power services.
Application of Big Data Technology in Cost Management and Control in Construction Project
Authors: Chen Liang , Dai Heping 
Published: April 2021

Abstract
Currently, the competition of construction industry is increasingly fierce, the market is basically transparent, the traditional enterprise cost management model has been unable to adapt to the development of the construction market in the new era. In order to better control the cost and improve the benefit, construction enterprises must realize the technicalization, informationization and digitization in cost management. Cost management must be controlled by informationized and scientific management means.
English Hybrid Cooperative Learning Model Based on Genetic Algorithm
Authors: Guo Lin 
Published: April 2021

Abstract
With the further development of basic education curriculum reform and the rapid development of network technology, hybrid learning has been introduced into various disciplines of basic education, which has become a new development trend. Hybrid learning refers to the organic combination of traditional face-to-face classroom learning and online learning based on network to give full play to their unique advantages in order to promote emotional communication and close interaction between students and teachers. At the same time to meet the different requirements of independent learning and collaborative learning. In this paper,52.4% of the high groups are procedural knowledge,20.9% are declarative knowledge,13.7% are strategic knowledge, only 13% are useless knowledge.29.3% of the speeches belong to shallow interaction,46.6% belong to moderate interaction and 24.1% are deep interaction.
Teaching Reform of Broadcasting and Presenter under the Background of Artificial Intelligence
Authors: Qi Mengrui 
Published: April 2021

Abstract
With the continuous development of modern science and technology, artificial intelligence has entered an unprecedented period of rapid development. It is profoundly changing all social strata, and with further changes, artificial intelligence has developed rapidly. In recent years, artificial intelligence has been used in broadcasting and hosting field for many times, which has attracted the attention of domestic and foreign media. The anchor of artificial intelligence is still constantly updated and iterated, It is gradually replacing a lot of simple and highly repetitive work. The media industry and academic circles are worried whether the artificial intelligence anchor will replace the broadcasting and hosting profession? Based on this reason, under the background of artificial intelligence, this paper discusses the educational reform of broadcasting and hosting art in Colleges and universities. It is found that 54% of the students are willing to learn the second type of broadcasting and hosting subject, and act as their own, 10% of the students hold an attitude of unwillingness, and the remaining 36% are indifferent.