bluuebunny/crossref_metadata_2025_split huggingface dataset:
The applications of nano-medicine in the breast cancer therapy
Authors: Saeed N A , Hamzah I H , Mahmood S I 
Published: April 2021

Abstract
Breast cancer (BC) is the commonest malignancy in women worldwide. Triple-negative breast cancer (TNBC) with three main-receptors which is estrogen-receptor, progesterone-receptor, and human-epidermal-growth factor receptor-2, Absent hormonal-receptor in cells of breast cancer familiar to expression an aggressive phenotypes as well as increasing the metastasis that leading to develop the resistance for chemotherapies. Different types of treatment and therapies currently can stop the spreading of BC and TNBC but with side-effects for healthy cells or tissues. Nanotechnologies present many unique efficient alternatives to designs and synthesis of small-size nanomaterial which target both active and passive and can be used to attached multi-targeting moiety by controlled cellular uptakes with a minimum amount of nanometric carriers. Which are able to carry drug, tracking-probes, and ligands, designing on same pathway, which specifically targets each cell of BC on sites. Indicating the targeted deliver-system by highly functional molecules with multi specificity, tracking, diagnosing, and treating emerge as theranostic-approach. Particularly, carbon nanomaterial such as fullerenes, nanotube and graphenes, is scientific interesting regarding the chemical functions, biological and physical characteristics. The latest scientific guide offers the possibility usage of carbon nanomaterial to be a therapeutically factors, Systematic agents to control drug releasing as well as contracting factors to diagnostic the tumor. producing new potentials to developing innovatively orders to detecting BC on the beginning and treatment period. In this review, we shed the light on traditional drugs therapy, unique therapy to providing the current nanotechnology applied for approaching metastatic BC treatment and diagnosing by using carbon nanomaterials.
Development of polyaniline for sensor applications: A review
Authors: Al-Haidary Q N , Al-Mokaram A M , Hussein F M , Ismail A H 
Published: April 2021

AbstractThis review is focusing on the uses of polyaniline as conductive sensors over the past decade and especially for biosensors to be within easy reach. The effort of conducting polymers has been on modern reviewing literature that addressing use as a sensor. In addition, the gradual development in the literature on the evolution of polyaniline as electrical conductivity methods and sensor in the chemical or biological field according to time sequence. Numbers of potential applications and different possible uses have shown promising application for polyaniline polymers.
Promising technique, cloud point extraction: technology & applications
Authors: Al_Saadi M R , Al-Garawi Z S , Thani M Z 
Published: April 2021

AbstractAssurance of analysts of various matrices (for example natural or tainted water or soils) at a standard level are often required for identifying the environmental pollution. A couple of used systematic methods are delicate enough for the direct assurance of trace components in samples, therefore, a preliminary step of the analyst prior to analysis is consuming much of the time. One of the best alternative methods that uses surfactant to extract organic/inorganic parts is the cloud point extraction CPE. It is a fast, easy and economical extraction technique includes assembly of monomers of nonionic surfactant to form a hydrophobic core (micelle). At that point, the micelles entangle the hydrophobic bioactive mixes inside the micellar extraction. This field of extraction is very promising for new and active analytical strategies that are applicable to many systems. This review shows the importance of CPE method, surfactants, procedures used to detect the cloud point, the effect of different parameters on the efficiency of extraction and the possible applications and limitations of the method. It aims to explore the possibility of developing CPE within the approach of green analytical chemistry.
Multi target-directed imidazole derivatives for neurodegenerative diseases
Authors: Eliewi A G , Al-Garawi Z S , Al-Kazzaz F F , Atia A J K 
Published: April 2021

Abstract
Neurodegerative diseases NDDs, such as Alzheimer’s and Parkinson’s diseases influence the brain tissues and cells that led to perpetual damage, reduce the quality of life and life-threating, although considerable advances in conception the mechanisms of these diseases and their pathogenesis. Thus, developing effective treatments against neurodegenerative disorders still challenging. In this regard, imidazole derivatives have showed a potential to be multi target-directed agent that has multifunctional biological activities to restrict NDDs. Imidazole is a heterocyclic compound with structural features enable different biological activities based on the substituted. This review discusses the roles of different imidazole derivatives to be candidate as a treatment of NDDs. Modification of imidazole moiety has been recognized so as favorable multi target to treat NDDs. Herein, we suggest that imidazole can be modified properly to increase its potential to be applied for pre-clinical and clinical studying of NDDs treatment.
The relationship between tunable optical absorption and SERS activity of Ag/ZnO nanocomposites
Authors: Koleva M E , Nikov Ro , Nikov Ru , Nedyalkov N N , Nuzhdin V I , Valeev V F , Rogov A M , Stepanov A L 
Published: April 2021

Abstract
The optical characteristics of Ag/ZnO composite nanostructures have long been of particular interest and, thus, the subject of broad experimental and theoretical studies. This work is focused on the synthesis and properties of Ag/ZnO nanocomposites and demonstrates the possibility of their application as active substrates for surface-enhanced Raman spectroscopy (SERS) in detection of pesticides. The samples were synthesized by pulsed laser deposition (PLD) of ZnO thin films, followed by Ag+-ion implantation in the ZnO matrix and by laser annealing of the heterostructures produced. The morphology and properties of the samples were studied with respect to the processing parameters. The optical absorption studies revealed the existence of tunable surface plasmon resonance of silver nanoparticles in the ZnO matrix. Theoretical calculations of the optical properties, as extinction, absorption and scattering efficiencies, were performed based on a generalized multi-particle Mie (GMM) approach. The simulated system assumed in this comparative study consists of a surface-embedded ensemble of silver nanoparticles in a ZnO surrounding media and in air. The simulated structures were reproduced from the corresponding SEM images after laser annealing at 355 nm and 532 nm.
Nanosecond laser ablation of composite thin films in liquid
Authors: Nikov Ro , Dikovska A , Nedyalkov N , Nikova T , Karashanova D 
Published: April 2021

Abstract
We present a study on nanosecond laser ablation of thin composite films immersed in liquids. The composite films are obtained using a classical on-axis pulsed laser deposition technology, where the target consists of two sectors with different composition. Multicomponent films containing ZnO, TiO2, and Ag, are thus deposited on a substrate. The as-prepared composite films are then immersed in double distiled water and irradiated by nanosecond laser pulses. This results in the production of colloids composed by multicomponent nanoparticles. The optical properties of the colloids are evaluated by optical transmittance measurements in the UV-VIS spectral range. Transmission electron microscopy is used to visualize the nanostructures formed in the solution, as well as to evaluate their size distribution. The phase composition of the samples is determined by selected area electron diffraction.
Laser marking and engraving of household and industrial plastic products
Authors: Lazov L , Snikeris A , Balchev I , Teirumnieks E 
Published: April 2021

Abstract
Laser marking and engraving has developed in many ways into an attractive process for identifications of consumer goods made of plastic. It is a quick and inexpensive process that offers a variety of flexible options for designing identification products (barcodes, security information, codes). This report examines the possibility of marking PVC products used in the electronics industry with different colors using a CO2 laser technological system. The functional dependences of the width and depth of the marking lines on the main technological parameters – average power and processing speed, are analyzed. The analysis aims to help determine the optimal working intervals for marking and engraving by the bar coding method, as well as for the coding and reading of information on household PVC products used by visually impaired people. The analysis further aims to help determine the optimal operating intervals of speed and power when choosing a given geometry of the ablation zone in marking and engraving products for different users.
Reflectance polarization ex vivo measurements of gastrointestinal carcinoma lesions for cancer diagnostics
Authors: Ilyov S , Ivanov D , Genova Ts , Mircheva V , Zaharieva L , Kolev B , Vladimirov B , Valkov H , Mazumder N , Sindhoora K , Semyachkina-Glushkovskaya O , Avramov L , Borisova E 
Published: April 2021

Abstract
The use of polarized light for biomedical diagnostics of skin and mucosa has already a long history. Prior studies have shown a contrast enhancement of the polarimetric values and in images of cancerous and healthy zones tissues. In the present study, reflectance-geometry polarization measurements were made with gastrointestinal tissue (GIT) samples containing normal and neoplastic mucosa. We investigated ex vivo the characteristic differences in the polarimetric parameters, including Stokes vector elements, degree of polarization, azimuth and ellipticity angles of cancerous and healthy colorectal tissues. A model PAX1000VIS/M polarimeter (400 – 700 nm, ThorLabs Inc.) was used in reflectance mode to obtain information about these polarimetric parameters of the GIT samples investigated. The most significant differences were observed in the long-wavelength region (>600 nm) in the case of circular polarization of the illuminating and probe axes of the measurement unit. Histological analysis was used as a “gold standard” to compare the optical and pathological diagnosis.
Energy exchange during third harmonic generation in multi-mode optical fibers
Authors: Kasapeteva Z , Dakova A , Slavchev V , Dakova D , Kovachev L , Kovachev K 
Published: April 2021

Abstract
In this paper, analytical solutions in the form of Jacoby functions are found for the first time of the nonlinear set of short-cut equations describing the generation of third harmonics. Additionally, the short-cut equations are extended to a set of equations, where the influences of self-phase modulation and cross-phase modulation on the process of third harmonics generation is taken into account. This nonlinear set correctly describes the processes of energy exchange between two laser beams propagating in multi-mode fibers. We solved this new set and the solutions are again in the form of Jacobi functions. The difference is in the elliptical period present in the new set, where the influence of the intensities of both waves is significant. The three nonlinear processes work simultaneously in cubic media. Thus, the new set of equations describes more precisely the period of energy transfer in the process of third harmonic generation.
Electrical contact resistance of tungsten coatings deposited on Cu and Al conductors
Authors: Kotlarski G , Valkov S , Andreeva A , Mateev V , Marinova I , Petrov P 
Published: April 2021

Abstract
In this work we study the effects of W coatings on the electrical contact resistance of Cu and Al conductors. The coatings were deposited by means of electron beam evaporation in a vacuum environment. The structure of the obtained samples was analysed using X-ray diffraction (XRD) and the surface roughness was studied by atomic force microscopy (AFM). The electrical contact resistance hysteresis of the W coatings and the base Al and Cu conductors is measured and analysed. The results obtained in this study are discussed concerning the possible applications of the coatings in the field of electrical engineering.
Research on Location of Cold Chain Logistics Distribution Center with Low Carbon in Beijing-Tianjin-Hebei Area on the Basis of RNA-Artificial Fish Swarm Algorithm
Authors: Zhang Liyi , Fu Mingyue , Fei Teng 
Published: April 2021

Abstract
In order to improve the existing problems of the artificial fish swarm algorithm, the fish swarm algorithm is improved by using the characteristics of RNA computing, and the RNA-artificial fish swarm algorithm is proposed. Since cold-chain food has the characteristics of perishable quality and can generate a large number of carbon emissions during its transportation, this paper establishes a model for optimizing cold chain low carbon logistics location in the Beijing-Tianjin-Hebei area, including factors such as food spoilage, refrigeration and carbon emissions. The logistics location optimization model is solved 30 times with the basic fish swarm algorithm and the RNA-artificial fish swarm algorithm respectively. The simulation results prove the effectiveness of the RNA-artificial fish swarm algorithm.
Overview of Randomness Test on Cryptographic Algorithms
Authors: Mengdi Zhang , Xiaojuan Zhang , Yayun Zhu , Siwei Miao 
Published: April 2021

Abstract
Randomness is an important research topic in the field of information security, especially in cryptography. Randomness test techniques are used to examine the quality of random numbers so that they meet the requirements of the application. The randomness of cryptographic algorithms is one of the key concerns in the algorithm design. People have put forward different standards and test requirements for the randomness of cryptographic algorithms, as well as developed corresponding randomness test kits. This paper analyzes the randomness test technologies of cryptographic algorithms and the general randomness test methods, and compares them on this basis. At the end, the actual application scenarios to apply these randomness test methods are discussed.
Making BBS-Net More Efficiency for RGB-D Salient Object Detection
Authors: Liu Qiaoling , Guo Xiaoying , Li Yongquan , Xu Yan 
Published: April 2021

Abstract
BBS-Net is a novel bifurcated backbone strategy network based on cascaded refinement, which achieves the most advanced performance in RGB-D salient object detection models. However, the performance of the model in multi-scale feature extraction and depth feature enhancement is not strong enough, and the generated saliency maps contain a lot of background distraction and blurred edges. In this paper, based on BBS-Net framework, we adopt more effective feature extraction network and depth feature enhancement module. Specifically, 1) Use the Res2Net-50 structure that constructs hierarchical residual-like connections within a single residual block as a feature extraction network; 2) Use ECA module as channel attention to extract depth information and enhance cross-modal compatibility. The comprehensive experiments of our method on 6 datasets show that it outperforms the original BBS-Net and 7 current state-of-the-art methods in 4 evaluation metrics.
Application of Particle Swarm Optimization on Reliability Sampling Inspection Program for Success or Failure Product
Authors: Xiong Yuanbo , Cheng Nuo , Liu Yunzi 
Published: April 2021

Abstract
Reliability sampling inspection program for success or failure product is an intractable problem in the reliability test field. Meta-heuristic algorithm provides a new idea to solve the problem. Particle swarm algorithm is a new meta-heuristic algorithm in recent years, which has been widely used in many fields because of its simplicity but efficiency. In this paper, a reliability sampling inspection program model is developed to minimize the distance of risk. In addition, the mechanism of the particle swarm algorithm is expounded, and a case study reveals that the method in this paper is feasible and effective.
Application of WNN-GNN-SVM combined algorithm to time series analysis of SF6 decomposed gas signal detected by photoacoustic spectroscopy
Authors: Shiling Zhang , Yaling Yu , Baojia Deng 
Published: April 2021

Abstract
This paper first analyzes the principle of the photoacoustic spectroscopy detection technology, gives the absorption wavelength and the absorption line intensity of typical SF6 decomposition gas, and establishes the original database of the photoacoustic spectroscopy combined with the existing experimental platform. Furthermore, the principle of WNN-GNN-SVM combined algorithm and its construction method model are proposed, and the combined algorithm is applied to fit and predict the time series curve of sulfur hexafluoride characteristic decomposition gas with 6 peaks. The results show that the photoacoustic spectrum detection technology can effectively obtain the time series of typical sulfur hexafluoride decomposition gas, such as SO2F2, H2S, COS and CS2, and the WNN-GNN-SVM combination algorithm proposed in this paper can effectively select key points of sulfur hexafluoride decomposition gas characteristic peak for the multi spline curve quantitative fitting, and reasonably predict its change trend. In this paper, the optical detection method for typical decomposition gas of sulfur hexafluoride is effectively proposed, and the fitting and prediction post-processing method of the original data is given based on the detection results. The research results of this paper have good engineering application and theoretical research value for the detection and evaluation of the operation state of sulfur hexafluoride gas insulated power equipment.
Robot path planning based on improved sparrow algorithm
Authors: Li Jun 
Published: April 2021

Abstract
Robot path planning is currently a research hotspot. To overcome the shortcomings of the traditional raster method, an improved sparrow search algorithm is proposed for path planning in the raster. On the basis of the new sparrow search algorithm, the K-medoids clustering method is introduced to classify the population dynamically and accelerate the information exchange among the population. Then, an adaptive weight factor is introduced to make the algorithm search more detailed and extensive, which enhances the optimization ability of the algorithm. The optimized routes of each algorithm on the raster graph show that the improved sparrow search algorithm can plan a simpler route with the least cost.
Quantitative Research on the Science and Technology Investment and Economic Growth of Guangdong Province from the Perspective of Intelligent Data Analysis
Authors: Jiayi Zhong 
Published: April 2021

Abstract
Intelligent data analysis can use data analysis tools such as statistics and data abstraction to discover the correlation between variables in the data. Use the relevant principles of intelligent data analysis to quantitatively research the relationship between Guangdong Province’s financial technology investment, R&D expenditure and economic development. The quantitative results show that both government financial investment in science and technology and R&D expenditure have an important impact on economic development. Among them, the influence of R&D expenditure is more significant, and there is also a clear positive relationship between government financial investment in science and technology and R&D expenditure. Based on the results of intelligent data analysis, it is proposed that Guangdong Province should make great breakthroughs in the leveraging of financial science and technology funds, the implementation of the main role of enterprises in science and technology investment, and strengthening of scientific research capabilities of scientific research institutions to provide new momentum for achieving high-quality economic development.
Low complexity Massive MIMO detection algorithm based on improved LAS
Authors: Yuan Quan , Zhang Juan 
Published: April 2021

Abstract
Massive multiple-input multiple-output (M-MIMO) technology is a key technology for 5G communications and future mobile wireless networks. Although the likelihood ascent search (LAS) algorithm in the existing detection algorithms is relatively low in complexity, the algorithm is easy to fall into the local optimum, resulting in poor global performance. Therefore, based on this algorithm, this paper proposes an improved detection scheme based on the LAS algorithm in the reduced neighborhood. This algorithm combines the idea of a reduced neighborhood and iteratively improves the LAS algorithm. The algorithm is designed by reducing the size of the neighborhood and increasing the number of iterations. The algorithm compares the BER performance of different neighborhood parameters, and obtains a set of parameters to significantly reduce BER through simulation comparison.
Quantitative analysis of technological investment and industrial structure upgrading on Guangzhou’s technological innovation—Based on the perspective of data mining and intelligent computing
Authors: Jiayi Zhong 
Published: April 2021

Abstract
With the help of intelligent thinking programs, intelligent computing can help deal with various complex social problems and use data to study the essence of economic phenomena. Using the related theories and procedures of data mining and functional calculation, quantitative research is conducted on the impact of technological investment and industrial structure upgrading in Guangzhou on technological innovation. Quantitative research results show that there is a high degree of positive correlation between technology investment, industrial structure upgrading and technological innovation capabilities, among which technology investment has a more significant impact. Based on the results of intelligent computing, it is proposed that Guangzhou should attach importance to basic research, strengthen support for cutting-edge technologies such as big data and cloud computing, continuously optimize the environment for urban innovation and development, and actively cultivate new drivers of economic development.
Research on Enterprise Value Management of Emerging Industries in the Age of Artificial Intelligence
Authors: Ye Jingyi 
Published: April 2021

Abstract
The arrival of the era of artificial intelligence is both an opportunity and a challenge, and the main research of artificial intelligence enterprises, belongs to the emerging industry, it is very different from the traditional industry. How to measure its enterprise value, has become a controversial issue. This article from the artificial intelligence industry analysis, combined with its particularity, through comparative analysis of all kinds of enterprise valuation method, choose the real options method to measure the value of the company, applying Schwartz - Moon model combined with Monte Carlo simulation to evaluate the enterprise value of Robots(300024), find out the reasonable artificial intelligence class enterprise value evaluation model, and gives the corresponding Suggestions, helps to guide the orderly development of the industry, promote the development of artificial intelligence and innovation.