bluuebunny/crossref_metadata_2025_split huggingface dataset:
The genetic landscape of Scotland and the Isles
Authors: Gilbert Edmund , O’Reilly Seamus , Merrigan Michael , McGettigan Darren , Vitart Veronique , Joshi Peter K. , Clark David W. , Campbell Harry , Hayward Caroline , Ring Susan M. , Golding Jean , Goodfellow Stephanie , Navarro Pau , Kerr Shona M. , Amador Carmen , Campbell Archie , Haley Chris S. , Porteous David J. , Cavalleri Gianpiero L. , Wilson James F. 
Published: September 2019

Significance
Modern genetic analysis has revealed genetic differentiation across the south of Britain and Ireland. This structure demonstrates the impact of hegemonies and migrations from the histories of Britain and Ireland. How this structure compares to the north of Britain, Scotland, and its surrounding Isles is less clear. We present genomic analysis of 2,544 British and Irish, including previously unstudied Scottish, Shetlandic and Manx individuals. We demonstrate widespread structure across Scotland that echoes past kingdoms, and quantify the considerable structure that is found on its surrounding isles. Furthermore, we show the extent of Norse Viking ancestry across northern Britain and estimate a region of origin for ancient Gaelic Icelanders.
Discrimination of different cell monolayers before and after exposure to nanosecond pulsed electric fields based on Cole–Cole and multivariate analysis
Authors: Shi Fukun , Zhuang Jie , Kolb Juergen F 
Published: September 2019

Abstract
Normal and cancer cells, which were grown in monolayers, were investigated and discriminated by electrical bioimpedance spectroscopy (EBIS) before and after exposures to nanosecond pulsed electric fields (nsPEFs). Bioimpedance data were analysed with a Cole–Cole model and the principal component analysis (PCA). Normal and cancer cells could be clearly distinguished from each other either from Cole parameters (R
0, α, τ) or from two dominant principal components. The trend of changes for Cole parameters indicated distinctively different post-nsPEF-effects between normal and cancer cells. PCA was also able to distinguish characteristic impedance spectra 30 min after exposures. The first principal component suggested that post-nsPEF-effects for normal cells were revealed especially at lower frequencies. The results indicated further that the extracellular resistance, which is dominated by cell–cell connections, might be an important factor with respect to selective nsPEF-effects on cancer cells that are organized in a monolayer or a tissue, respectively. Accordingly, the results support the application of EBIS as an early, non-invasive, label-free, and time-saving approach for the classification of cells to provide in particular predictive information on the success of cancer treatments with nsPEFs.
Classical mechanics of the Hydrogen atom perturbed by Van der Waals potential interacting with combined electric and magnetic fields
Authors: Chatar W , Benkhali M , El Fakkousy I , Kharbach J , Rezzouk A , Ouazzani-Jamil M 
Published: September 2019

Abstract
The hydrogen atom perturbed by Van der Waals potential interacting with combined electric and magnetic fields is a non-integrable system, except for some cases, one of which is separable in elliptical coordinates. A detailed study of the classical mechanics of the system is presented giving a complete description of the real phase space structure of the system, we also determine all the generic bifurcations of Liouville tori. This study is supported by numerical investigations via the Poincare surface of section and the phase space trajectories method. The dynamic character of this system depends on the van der Waals potential and the intensity of the magnetic field. Numerical calculations show that if the separability condition is verified, the classical dynamics is regular. However, with a small change in the condition, the dynamic property of the hydrogen atom begins to change. Since the condition is far from integrable behavior, almost all phase space trajectories are chaotic. On the other hand, the intensity of the electric field has no influence on the system.
X-ray diffraction investigations of nanostructured ZnO coated with reduced graphene oxide.
Authors: Boukhoubza I , Khenfouch M , Achehboune M , Mothudi B M , Zorkani I , Jorio A 
Published: September 2019

Abstract
Nowdays, nanocomposites containing ZnO with various morphologies and graphene, graphene oxide (GO) or reduced graphene oxide (rGO) have been attracting many researchers according to their properties and board application in optoelectronic devices. In this study, rGO/ZnO nanorods were synthesized using different procedures. In the first procedure, ZnO nanorods prepared by using the hydrothermal method. In the second procedure, the surface of ZnO nanorods was coated with rGO using the drop coating process. The pure ZnO, rGO and rGO/ZnO nanorods were characterized by X-ray diffraction (XRD) and the average crystallite size was calculated using Debye-Scherrer equation.
Electronic and magnetic properties of Ni2MnGa: Monte-Carlo and ab-initio calculations
Authors: Boughlala A. , Benzakour N. , Hourmatallah A. , Bouhou S. , Salmi S. , Bouslykhane K. 
Published: September 2019

Abstract
This paper describes computational calculations based on the density functional theory (DFT), in order to investigate the electronic and magnetic properties of Ni2MnGa alloys. The local density approximation (LDA) and generalized gradient approximation (GGA) methods were used, which are implemented in the MACHIKANEYAMA package designed and made by Akai [1]. As result, we found that the alloys possess a ferromagnetic behaviour with magnetic moment of 4,07μB/cell. The analysis of the density of states (DOS) shows that the alloys have a half-metallic behaviour due to the Mn-d and Ni-d states crossing the Fermi level. Moreover, the Monte-Carlo simulation method in the framework of the Ising model gives the magnetization and the susceptibility values, respectively.
Vacancies effect on graphene: Raman study
Authors: Ait Abdelkader S A , Boutahir O , Boutahir M , Fakrach B , Bentaleb M , Rahmani AH , Chadli H , Rahmani A 
Published: September 2019

Abstract
The acid oxidation treatment methods have been widely reported as an effective method to purify and functionalize the surface of graphene. Although effective, the strong acids typically employed may cause graphene extra-damage, limiting its potential. This work examines the use of a concentrated HNO3/H2SO4 mixture in dispersing graphene in aqueous sulfactant solutions. Raman spectroscopy can be used to provide a rapid and non-destructive analysis to estimate the concentration of defect created by acid in graphene. The X-ray diffraction (XRD) was used to compare the patterns as a function of the acid concentration used in thin films. The Raman measurements were performed on graphene deposited on Si substrates. The first-order resonance Raman scattering mechanisms in graphene with defects were analysed considering the origin of the G and D bands. In the other hand, the acid can probably creat the vacancies defects on grapheme. Then, we calculate Raman spectra of graphene with mono, di and tri-vacancies defects as function of the concentrations of such defects. The obtained results we observed that the D band appeared, the results are coherent and in agreement with the experimental analysis.
The influence of solution temperature of SnS thin films grown by successive ionic layer adsorption and reaction (SILAR) method
Authors: Qachaou Y , Daoudi O , Raidou A , Lharch M , Qachaou A , Fahoume M 
Published: September 2019

Abstract
Tin sulfide is a promising optoelectronic material, which has a particular interest due to its absorption coefficient, direct (indirect) bandgap and its non-toxic components. SnS thin films were deposited on glass substrates by SILAR (Successive Ionic Layer Adsorption and Reaction) method at different solutions temperatureand it is rarely developed by this parameter. The cationic (SnCl2.2H2O) and anionic (Na2S.9H2O) solutions were used as precursors materials. The structure, films composition, morphology, and optical properties were investigated by using X-ray diffraction, Raman spectroscopy, energy dispersive X-ray analysis, Scanning electron microscopy (SEM) and spectrophotometer. X-ray diffraction (XRD) patterns indicated that the deposited SnS thin films have an orthorhombic crystal structure. Raman spectroscopy confirmed the presence of the SnS phase. Uniform deposition of the material over the entire glass substrate was showed by Scanning electron microscopy (SEM). The optical band gap energy was found between 1.6 and 1.85 eV.
Analysis and Portrait of College Students’ Online Behavior Habits
Authors: Jiang Yupeng , Zhao Yingying , Xu Hui 
Published: September 2019

Abstract
In the era of information technology, the popularity of college networks has brought great convenience to students. However some students indulge in the network and thus affect the quality of learning. In order to help college students make use of network resources properly, we analyze students’ surfing behavior from the perspective of data mining. 11 classes of web pages with high degree of attention are taken into consideration. the data of more than 100 million log records generated by students in universities within 20 days are collected. We also use Bisecting K-means algorithm to cluster students on different levels. For measuring every students’ behavior, we introduce a stability measure for web surfing behavior. we calculate this parameter for every student and analyse the results. Finally, according to the clustering results, cluster stability analysis results and other attributes, we draw a user portrait for every student. After practice, the method is simple and easy to use, providing reference for universities to organize network management activities and standardizing college students’ online behavior.
Design and Implementation of Information Management System for Rice
Authors: Fan Rongrong , Xu Hui , Zhao Yingying 
Published: September 2019

Abstract
In order to strengthen the management of the quality and safety of agricultural products, to rice as the object, based on the rice production and supply chain, this paper designs an information management system for rice. Using. Net platform, MVC4 framework and other technologies for the construction and development of the system, to achieve the rice from cultivation to sales of the whole process of information management, effectively strengthen the supervision of the quality and safety of rice; The data were processed and analyzed, and the prediction of rice yield was realized by multiple linear regression algorithm, which promoted the process of modern agricultural informatization.
RETRACTED: On The Development of Healthy Tourism Industry in Shandong Province Under The Background of Big Data
Authors: Guo Ranran 
Published: September 2019

Abstract
As the important convergence point of people’s livelihood improvement and economic development, “medical and health industry” is one of the emerging industries in the “top ten” industries to support the Major Project for Transforming Old and New Driving Forces in Shandong province. Developing healthy tourism industry is conducive to promoting the construction of “Healthy Shandong” and accelerating the transformation of old and new driving forces. Besides the advantage of natural resources for developing healthy tourism, a series of policies, such as Shandong Province Healthy Tourism Industry Development Plan (2018-2022), provide a good opportunity and platform for Shandong healthy tourism to explore the domestic and international markets. At present, many problems have been exposed for developing Shandong Healthy Tourism industry, including that the provincial medical health industry is still in its infancy, the industry is big but not strong, the industry structure is no reasonable, regional differentiation is not obvious enough, leading enterprises and well-known brands are few, the application of new technology is insufficient, the support OF HR is not strong, and cross-border integration needs to be deepened. It is suggested that the government ought to make rational use of big data to strengthen the top-level design, innovate developing models, promote quality improvement and capacity expansion, strengthen intellectual security, and establish brand image.
Optimization of Three - Frame Difference Method and Improvement of Pedestrian Detection Code Book
Authors: Shang Lei , You Fucheng , Han Chao , Wang Xuewei , Zhao Shuai 
Published: September 2019

Abstract
Pedestrian detection is one of the most important applications of computer vision. In this paper, aiming at the problem of poor anti-interference ability of traditional codebook algorithm in the complex background and the cavity-prone problem of traditional frame difference method, a pedestrian detection algorithm integrating the optimized frame difference method and improved codebook is proposed. In this algorithm, a double code word structure is designed. An update mechanism is added to the code words in the codebook background modeling process and detection process, and improved double code word book algorithm based on YUV color space is designed to realize the real-time background update function. After that, bilateral filtering is added to the traditional three-frame difference method to further remove the noise. At the same time, the extracted rectangular region is used for filling operation and morphological processing to obtain the corresponding foreground image. Finally, the foreground image of codebook model and the foreground image of frame difference method are calculated with “and”, “different or” and “or” of pixels to obtain the precise region of moving target. The experimental results show that this algorithm combines the advantages of the two methods and abandons the disadvantages of each method in the detection prospect. It can accurately detect moving targets and has good robustness. The effectiveness of this algorithm is also verified by experiments.
Camshift Algorithm Combined with Contour Coordinate Point Target Tracking
Authors: Han Chao , You Fucheng , Zhao Shuai , Wang Shaomei 
Published: September 2019

Abstract
Aiming at the deficiency of traditional CamShift algorithm in losing targets easily in video sequence of background with color similarity, this paper explores the reasons of losing targets, gives the numerical requirements to ensure that targets are followed precisely and proposes a target tracking algorithm combining contour coordinate points. The algorithm modifies the tracking window according to the coordinate points of the target contour, so as to obtain the size and position of the target in the current image and improve the tracking stability. The experimental results show that the target can be tracked effectively under the interference of color similarity background.
Link Prediction for Complex Networks via Random Forest
Authors: Li Kuanyang , Tu Lilan 
Published: September 2019

Abstract
In this paper, based on four existing similarity indexes (CN, LHN-II, COS+ and MFI), we obtain eigenvectors by extracting the features of two arbitrary complex network nodes. The core idea of this paper is to use decision trees to handle these four different indexes which are not strongly related. After training and learning with the random forest algorithm, a new link prediction algorithm for complex networks is proposed. We prove by conducting some numerical simulations, using the US aviation network as an example, that the proposed link prediction algorithm is more accurate and stable than other similar algorithms.
On Massive JSON Data Model and Schema
Authors: Lv Teng , Yan Ping , He Weimin 
Published: September 2019

Abstract
JSON (JavaScript Object Notation) is a lightweight semi-structured data format based on the data types of programming language JavaScript. It is a popular data exchange format over the World Wide Web and becomes a dominant standard format for sending API (Application Programming Interface) requests and responses in the past few years. Furthermore, JSON has also attracted attentions of database community research, especially in data intensive applications. JSON is not only can be integrated in traditional database systems, but also widely used in NoSQL database systems and graph database systems. Compared with XML, JSON document is a set of “key-value” pairs, in which the “value” itself can be a JSON document, which allows arbitrary levels of nesting, so it is more flexible to use and more difficult to process accordingly. JSON data model and schema describe the basic data structures and semantics of the underlying JSON data, so it is the fundamental and key aspects for JSON data format. JSON data model and schema are not only foundations for other data management technologies, such as data indexing, data querying, data searching, data mapping, data integrating, and data mining, but also has important theoretical significance and application prospects to provide theoretical basis and technical means for other related research, such as data integration, data conversion and other semi-structured and unstructured data queries. This paper analyzes the key problems of JSON data model and schema, including what data model should adopted by JSON and the specification and schema outline of JSON model.
A MapReduce-Based Parallel Mining for Frequent Itemset
Authors: Liu Nian , Guo Jinxu 
Published: September 2019

Abstract
Frequent itemset mining is the most important step of association rule mining. Due to the large size of datasets, many parallel mining methods have been introduced to divide datasets or to distribute mining processes, which improve the efficiency of mining. In this paper, we propose a parallel algorithm of PrePost+ based on MapReduce (we call our parallel algorithm MR-PrePost+) to mine frequent itemsets. In our parallelization approach, the Reduce task performs a set of independent mining tasks, which eliminates data dependencies and computational dependencies between machines. The experimental results show that our MapReduce-based parallel algorithm MR-PrePost+ performs better than PFP in running time, which is one of the best frequent itemset mining parallel algorithms.
Deceiving Face Recognition Neural Network with Samples Generated by Deepfool
Authors: Xue Jingsong , Yang Yu , Jing Dongsheng 
Published: September 2019

Abstract
Image-based identity authentication systems have been extensively used recently. However, it holds the risk of illegal use of the images for authentication by others, which will cause a severe threat to personal privacy and security protection. The concept of adversarial samples, which is often utilized in the field of deep learning to deceive classification models, has become more and more popular, and has accumulated lots of significant efforts. Meanwhile, previous work mainly focused on interpreting images by features rather than by the structural characteritics of the human face, which made the deception of face recognition model ineffective. To solve the problem, face recognition neural network deceiving method that is based on Deepfool algorithm is proposed. For a specific face recognition neural network, white-box attack is used to generate adversarial samples, and Euclidean distance is utilized to optimize adversarial samples to obtain face photos with misleading attributes. The proposed approach can be used for privacy and security protection. Experiments on several face testing data sets verify effeteness of our proposed approach.
Automatic Message Forwarding System Based on Directional Transmission Networking
Authors: Xu Zhengqin , Zhao Wendong , Peng Laixian , Chu Xiaojing 
Published: September 2019

Abstract
With the rapid development of multi-functional radio frequency technology and software radio technology, radar has become an independent node of wireless communication, which can make multi-platforms form the function of ad hoc network. This paper designs and implements an automatic message forwarding system based on directional transmission networking. The prominent feature is directional transmission. Secondly, information processing and forwarding are accomplished based on algorithm structure. This system can realize the functions of radar wireless ad hoc network, mutual detection and target information fusion, and enhance the flexibility of equipment.
On Computer Digital Illustration Design
Authors: Liu Yongqing 
Published: September 2019

Abstract
The text mainly analyzes digital method, expression style and creativity of computer digital illustration from the perspective of modern design development. With the dramatic development of digital technology and computer network popularization, it reveals that illustration design gains great technical support. Artistic thoughts and ideas also win the new release, which generates a new visual experience for individuals. Digital illustration has become the most appealing and fashionable art form in this era.
Resource Usage Evaluation Study in HPC Cluster
Authors: Guo Jiaxu , Xu Gaochao , Fu Xiaodong , Li Yang , Liu Peng 
Published: September 2019

Abstract
In order to evaluate the running state of computing clusters, this paper proposes a measure index for evaluating the resource utilization of nodes in high-performance computing clusters -- Load Score of Computing Node(LSCN), and compares two methods for determining parameter weights, principal component analysis (PCA) and entropy weight determination method (EWD), in combination with relevant algorithms in the field of machine learning, so as to provide useful guidance for the running and maintenance of computing clusters.
OpenGL based A 3D Visual Technology of Digital Core
Authors: Huang Rui , Zan Cheng , Long Wei , Cheng Haoran , Li Wei , Wang Guanqun , Zhang Bing 
Published: September 2019

Abstract
OpenGL is widely used in many industrial application fields as a powerful 3D graphics library. Especially, it plays important roles in displaying the visualization emulation model of digital cores. In this paper, according to the practical demands of projects, we conduct a thorough research on displaying 3D visual models of the pore structure and the skeleton structure of digital cores using OpenGL application library. Actual applications indicate that the idea of this paper is feasible and it holds the keys to scientific research of digital cores.
A Network Selection Method Based on Q-Learning in Power Wireless Communication System
Authors: Shao Gang , Wu Wenqin , Yin Lei , Ding Chenyang 
Published: September 2019

Abstract
In power wireless communication network, the traditional network selection algorithm can’t deal with the problem of dynamic selection according to network condition, so this paper proposes a network selection algorithm based on Q-learning. Q-learning algorithm is a model-free reinforcement learning algorithm, which is often applied in the field of wireless communication due to its flexibility and adaptability, and obtains the optimal strategy by the Q-value function estimation of state-action pair. In this paper, we establish the Q-learning network selection model, determine the network status in the analysis of network load and service type, then select the maximum cumulative rewards to the action, with which we can select the optimal network. Since the Q value of the Q-learning algorithm is updated iteratively, the algorithm can adapt to the dynamic network selection. The simulation results show that the network selection algorithm based on Q-learning can effectively reduce the blocking rate of voice traffic and data packet loss rate, and improve the average network throughput.