bluuebunny/crossref_metadata_2025_split huggingface dataset:
Glutathione S-transferasesP1 AA (105Ile) allele increases oral cancer risk, interacts strongly with c-Jun Kinase and weakly detoxifies areca-nut metabolites
Authors: Yadav Pallavi , Banerjee Atanu , Boruah Nabamita , Singh Chongtham Sovachandra , Chatterjee Puja , Mukherjee Souvik , Dakhar Hughbert , Nongrum Henry B. , Bhattacharjee Atanu , Chatterjee Anupam 
Published: April 2020

AbstractThe Glutathione S-transferases (GSTs) protects cellular DNA against oxidative damage. The role of GSTP1 polymorphism (A313G; Ile105Val) as a susceptibility factor in oral cancer was evaluated in a hospital-based case-control study in North-East India, because the habit of chewing raw areca-nut (RAN) with/without tobacco is common in this region. Genetic polymorphism was investigated by genotyping 445 cases and 444 controls. Individuals with the GSTP1 AA-genotype showed association with the oral cancer (OR = 3.1, 95% CI = 2.4–4.2, p = 0.0002). Even after adjusting for age, sex and habit the AA-genotype is found to be significantly associated with oral cancer (OR = 2.4, 95% CI = 1.7–3.2, p = 0.0001). A protein-protein docking analysis demonstrated that in the GG-genotype the binding geometry between c-Jun Kinase and GSTP1 was disrupted. It was validated by immunohistochemistry in human samples, showing lower c-Jun-phosphorylation and down-regulation of pro-apoptotic genes in normal oral epithelial cells with the AA-genotype. In silico docking revealed that AA-genotype weakly detoxifies the RAN/tobacco metabolites. In addition, experiments revealed a higher level of 8-Oxo-2′-deoxyguanosine induction in tumor samples with the AA-genotype. Thus, habit of using RAN/tobacco and GSTP1 AA-genotype together play a significant role in predisposition to oral cancer risk by showing higher DNA-lesions and lower c-Jun phosphorylation that may inhibit apoptosis.
Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy
Authors: Debon Raquel , Bellei Ericles Andrei , Biduski Daiana , Volpi Simiane Salete , Alves Ana Luisa Sant’Anna , Portella Marilene Rodrigues , De Marchi Ana Carolina Bertoletti 
Published: April 2020

AbstractBrazil’s Family Health Strategy (FHS) leads public health policies and actions regarding community health, addressing arterial hypertension (AH) in primary care settings. In this scenario, the use of communication technologies becomes appropriate for the monitoring of patients with AH. To preliminary verify the intervention approach and the effects of using an m-Health application on the health conditions of patients with AH for a future study, we conducted a non-randomized, controlled, non-blind trial (N = 39), comparing the use of a mobile health app (m-Health) with conventional AH monitoring over 3 months. During the study, we promoted health information workshops to engage patients from both intervention and control groups. Pre and post-intervention, we compared measurements of systolic and diastolic blood pressure; food frequency questionnaire; Appraisal of Self-Care Agency Scale; blood tests of hemogram, creatinine, uric acid, sodium, potassium, lipid profile, and glycemia. Improvements were identified in both groups due to the workshops, including the reduction in total and non-HDL cholesterol, healthier consumption of salads and sugary drinks, and increased self-care scores. Exclusively in the intervention group, which used the m-Health app, there was a change in systolic and diastolic pressure towards more adequate levels. In addition, the intervention group had improved levels of glucose and HDL cholesterol and reduced consumption of ultra-processed foods. In conclusion, the use of an m-Health app had positive effects on the health conditions of patients with AH under treatment within FHS, especially when combined with health information. On the context of FHS, the use of technology is encouraging supporting better health conditions.
A Microfluidic Platform to design Multimodal PEG - crosslinked Hyaluronic Acid Nanoparticles (PEG-cHANPs) for diagnostic applications
Authors: Tammaro Olimpia , Costagliola di Polidoro Angela , Romano Eugenia , Netti Paolo Antonio , Torino Enza 
Published: April 2020

AbstractThe combination of different imaging modalities can allow obtaining simultaneously morphological and functional information providing a more accurate diagnosis. This advancement can be reached through the use of multimodal tracers, and nanotechnology-based solutions allow the simultaneous delivery of different diagnostic compounds moving a step towards their safe administration for multimodal imaging acquisition. Among different processes, nanoprecipitation is a consolidate method for the production of nanoparticles and its implementation in microfluidics can further improve the control over final product features accelerating its potential clinical translation. A Hydrodynamic Flow Focusing (HFF) approach is proposed to produce through a ONE-STEP process Multimodal Pegylated crosslinked Hyaluronic Acid NanoParticles (PEG-cHANPs). A monodisperse population of NPs with an average size of 140 nm is produced and Gd-DTPA and ATTO488 compounds are co-encapsulated, simultaneously. The results showed that the obtained multimodal nanoparticle could work as MRI/Optical imaging probe. Furthermore, under the Hydrodenticity effect, a boosting of the T1 values with respect to free Gd-DTPA is preserved.
Physiotherapie bei erwachsenen Patienten mit Verdacht oder Nachweis von
COVID-19 an der Charité Universitätsmedizin Berlin
Authors: Reißhauer Anett , Baack Angelika , Liebl Max Emanuel 
Published: April 2020

EinleitungDie physikalisch-therapeutische Versorgung von Patienten im Rahmen der aktuellen
Corona-Pandemie ist auch für die Physikalische Medizin eine neue
Erfahrung.(Tab. 1)
Efficient FDTD-PE Method for GNSS Propagation in Airport to Support DCPS
Authors: Liu Jing , Ye Jiaquan , Yang Ping , Yang Xiaojia , Yang Zhengbo 
Published: April 2020

Abstract
To support Differentially Corrected Positioning Service (DCPS) in airport, the Global Navigation Satellite System (GNSS) receiver’s anti-multipath ability should be validated carefully to airport environment. This paper discusses the quantification of GNSS signal characteristics in airport based on Finite Difference Time Domain-Parabolic Equation (FDTD-PE) method. The proposed method can deal with complex environment with different objects and large scale clear space of airport efficiently. An equivalent process is introduced to deal with the problem of non-uniform sampling grid. By comparing with FDTD method, the validation of this method is proved. The simulation results demonstrate the effectiveness and accuracy of this method for predicting the GNSS signal propagation in airport environment.
Design and Implementation of Indoor Positioning System using Bluetooth Low Energy
Authors: Hu Xianfeng , Yu Kun-Ming , Chuang Ken H. , Hsu Huan-Po , Liu Chung-Hsing , Tung Shang-Wei , Chen Yen-Chiu , Lei Ming-Yuan , Tsai Nancy 
Published: April 2020

Abstract
Most of the positioning systems nowadays require GPS. In indoor environments, however, GPS signals cannot be received properly due to the obstructions of the walls in the building. Therefore, other techniques such as RFID, Zigbee, WIFI or Bluetooth, are used based on the power loss, cost, or transmission range considerations. Our study, conducted at the AI+ Experience Center of Chung Hua University, adopts Bluetooth 5.0-based equipment and uses the received signal strength indication (RSSI) and triangulation method to perform indoor positioning. Our results show that Bluetooth positioning is more accurate in the sense that when the distance is within 1∼3 meters, the error with the actual position is about 1 meter, which is more accurate than the RFID or WIFI positioning with the error of 2∼3 meters.
Physical Layer Security Increased by Perfect Scrambling in COFDM Multipath Fading Transmission Systems
Authors: Gao Baojian , Zhang Yucheng , Liu Qiang , Liu Xingyuan 
Published: April 2020

Abstract
With the deeper research on the theory of physical layer security, the method of reducing the security gap through information scrambling has received extensive attention. This method can lower the security gap of the wireless communication systems, thereby reducing the implementation cost of physical layer security. In this paper, a more rigorous definition of perfect scrambling and the complete conditions which should be satisfied by perfect scrambling matrix are presented. On this basis, we proved that with the increase of the size of the perfect scrambling matrix, the perfect scrambling can be asymptotically achieved, and the 0dB security gap can be asymptotically achieved for systems with closed-form expression of bit error rate. Finally, in this paper, a COFDM multi-channel secure transmission scheme is presented by apply perfect information scrambling to the LDPC-OFDM system. Security gaps of the scheme under Gaussian channel and multipath fading channel are simulated, and obtains good results. Our analysis indicates that in the multipath transmission and multipath fading environment, the security gap close to 0dB can be achieved by combining information perfect scrambling and error correction coding with good performance.
Link Budget Estimation and Implementation on Power Private Wireless Data Network
Authors: Wang Haiyang , Zhang Yong , Sun Haipeng 
Published: April 2020

Abstract
A link budget estimated scheme on wireless data network is introduced in this paper. The wireless propagation model for 230MHz frequency band and 1800MHz frequency band was analysed. Through Matlab GUI, a visual link budget estimated software was implemented. Results show that the estimation data coincides with the actual measured results. The link budget method and the estimated software could be employed in planning the wide coverage and large connection wireless network and 5G new radio network in the future.
Fractional Order Control of LCL Hybrid Resonant Electric-field Coupled Power Transfer System
Authors: Tang Yun , Xiong Hejin , Zhou Gaohan 
Published: April 2020

Abstract
Based on the transmission stability of LCL composite resonant Electric-field Coupled Power Transfer (ECPT) system, according to the voltage gain topology circuit model, the closed-loop control system model is established, and the control method based on PID and Fractional Order PID is proposed. By comparing the waveforms of the two control methods in the case of closed-loop, disturbance and impulse disturbance, a control method which makes the LCL type ECPT system have high response speed, strong robustness and strong anti-interference ability is obtained.
Application of Fractional order PID Control in Photovoltaic Integrated Distribution Network
Authors: Tang Rongjiang , Xiong Hejin , Zhang Zixi 
Published: April 2020

Abstract
When photovoltaic power generation is connected to the grid, the inverter merges the energy of the photovoltaic panel into the grid in the form of power, and the controller is required to control the DC side voltage after comparing with the maximum power tracking voltage of the photovoltaic system and tracking the DC side voltage. Based on the application of traditional PID control in the photovoltaic power generation system, we use fractional order PID to compare with it. Finally, simulation analysis verifies that fractional order PID has better dynamic and static characteristics, adaptability and robustness.
Batik-DG: Improved DeblurGAN for Batik Crack Pattern Generation
Authors: Huang Yiyang , Su Jianxia , Wang Jianming , Ji Shuaifei 
Published: April 2020

Abstract
As a traditional handcraft in China, batik is valuable for both decoration and fashion design due to its unique crack pattern. However, previous researches on batik crack pattern generation remain space in promoting verisimilitude. In recent years, Generative Adversarial Networks (GAN) show great ability in realistic image generation, and DeblurGAN performs well in image deblurring task, showing good potentiality in image generation. In this paper, we improve DeblurGAN for batik crack pattern generation by several methods. First, transposed convolution is replaced with resize-convolution. Second, Hybrid Dilated Convolution (HDC) is added to the network. Third, RaLSGAN is utilized instead of WGAN-GP, and several additional loss functions such as L1, L2 and so forth are tested respectively. Our network is trained on BIFT-Batik dataset and performs well to some degrees both in visual verisimilitude and IQA indexes including PSNR and SSIM. We name our network as Batik-DG (Batik-DeblurGAN).
A Human Dimension of Hacking: Social Engineering through Social Media
Authors: Wilcox Heidi , Bhattacharya Maumita 
Published: April 2020

Abstract
Social engineering through social media channels targeting organizational employees is emerging as one of the most challenging information security threats. Social engineering defies traditional security efforts due to the method of attack relying on human naiveté or error. The vast amount of information now made available to social engineers through online social networks is facilitating methods of attack which rely on some form of human error to enable infiltration into company networks. While, paramount to organisational information security objectives is the introduction of relevant comprehensive policy and guideline, perspectives and practices vary from global region to region. This paper identifies such regional variations and then presents a detailed investigation on information security outlooks and practices, surrounding social media, in Australian organisations (both public and private). Results detected disparate views and practices, suggesting further work is needed to achieve effective protection against security threats arsing due to social media adoption.
Universal Application of Landscape Architecture Based on Computer Aided Design
Authors: Cheng Jinxia , Yu Li , Xiong Yanqun 
Published: April 2020

Abstract
The universal application of landscape architecture is a comprehensive review in its industrial contents from the perspective of the whole people. It horizontally expanded the traditional objects of landscape architecture from the top national planning, government projects and related estates level to the concern of the whole mass people and the society, involving cities, villages, towns, suburbs, intercity and other areas, deep integrating the human design and natural environment, unifying local design and overall planning, linking conceptual design with actual effects, integrating those core fields such as design, computer application science, landscape architecture, urban and rural planning, in order to achieve co-prosperity between man and the nature.
Predict Individual Retweet Behavior Based on Multi-feature
Authors: Wang Chunjia , Fan Yongquan , Du Yajun , Sun Zefen 
Published: April 2020

AbstractWith the rapid development of social media, more and more people get information from social media. The retweet prediction task helps to study the process of information dissemination on social media. Previous methods take into account text features and ignore user’s sentiments and interests. The history tweets tweeted by the user not only reflect the user’s sentiments that the user tends to express on social media, but also shows the user’s interests. In this work, we used a deep learning method to extract features from user profiles, user history, user network, target tweet, then we used these features to predict whether a tweet will be retweeted by a user. Experimental results on dataset show that the proposed model can effectively predict the retweet behavior of users.
A Tentative Idea of Virtual Simulation Experiment of FOF Based on Blockchain
Authors: Xu Feng , He Dawei , Guan Chengtian 
Published: April 2020

Abstract
With the modernization of education, National Virtual Simulation Experimental Teaching Project has become an important measure to reform the existed teaching method. This paper proposes and expounds a tentative idea of virtual simulation experiment of FOF. Firstly, it introduces this experiment’s necessity, lists its core elements, and analyses its advantages and competitiveness. And then it explains experiment’s principles and lists operation steps. Finally, it illustrates anticipated outcomes of the experiment and makes the summary of this experiment’s advantages and prospects.
Differential Evolution Algorithm Based on Sort Mutation Operation for Vehicle Routing Problem with Time Windows
Authors: Song Xiaoyu , Wu Yan , Zhao Ming 
Published: April 2020

Abstract
In order to solve vehicle routing problem with time windows, a new sort-based differential evolution algorithm is proposed in this paper. First, Pareto dominates the idea to perform dual-objective optimization and natural number encoding to reflect the order of solutions; at the same time, in order to balance the global exploration and local development capabilities of the algorithm, a new sort-based mutation operation DE/sort/1 is proposed And adopts an innovative dual-strategy evolutionary method based on Pareto frontier selection, and chooses different crossover operations during the crossover process. Finally, this paper uses the standard Solomon test set. Experimental results show that the algorithm is an effective method for solving the vehicle routing problem with time windows.
On Cauchy´s Interlacing Theorem and the Stability of an Aggregation -type Epidemic Model
Authors: De La Sen M. 
Published: April 2020

Abstract
Some convergence results are applied to a dynamic discrete system which is built by aggregation of discrete dynamic subsystems subject to linear output feedback control. Since we are dealing with physical systems, it turns out that the formalism can be developed by invoking conditions related to real symmetric systems rather than to complex Hermitian ones when necessary. It would suffice to describe the state by expressing the matrix of dynamics in the real canonical form and to transform accordingly the control and output matrices by the appropriate similarity transformation. The results are shown to be of usefulness for the analysis of discrete aggregation- type epidemic models.
Nonlinear Aeroelastic Responses of an Airfoil with a Control Surface by Precise Integration Method
Authors: Huang Xiwen , Xie Suxin , Zhang Yunping , Chen Yanmao 
Published: April 2020

Abstract
This paper presents a highly accurate algorithm, based on precise integration method (PIM), to investigate the aeroelastic system of an airfoil with control surface. The nonlinear system is separated as linear sub-systems, which are solved by PIM stepwise. During each step, a predictor-corrector algorithm is proposed to detect switching points between sub-systems. Numerical examples show that, the presented algorithm is much more accurate and efficient than the widely-used Runge-Kutta method. Sometimes, the Runge-Kutta method even provides false results. With such high precision and efficiency, the presented algorithm has the potential to become a benchmark for comparison in solving piecewise-smooth dynamical systems.
Creep Buckling Analysis on Petroleum Furnace Tube Subjected to High Temperature Loading Based on ABAQUS
Authors: Yang Peng , Liang Haofeng , Zhou Jiahui , Sun Jie , Shi Chenyu , Xue Jianghong 
Published: April 2020

Abstract
This paper presents a finite element methods to simulate creep buckling phenomenon of petroleum furnace tube under external pressure with the petroleum furnace tube subjected to high temperature loading as the research object. In this paper the furnace tube is predigested as a finite-length cylindrical shell simply supported at both ends. Based on creep aging theory, considering the effect of temperature and service time on the material performance of petroleum furnace tube, the creep buckling ultimate load is acquired from eigenvalue buckling analysis by selecting linear perturbation buckling step. Parametric analyses and buckling analysis are conducted to investigate the effect of length-radius ratio, radius-thickness ratio and temperature on the creep buckling ultimate load of cylindrical shell. Finally, the finite element predictions are obtained and are compared with Mises results. It is found that they are in good agreement, validating the finite element simulation.
Analysis of Bus Line Passenger Flow Based on Big Data—A Case Study of Guangzhou Bus Line
Authors: Ma Yingqi , Yin Weichuan 
Published: April 2020

Abstract
The passenger flow analysis which is based on the public transport passenger travel data could provide an important reference for the urban transit network planning and layout optimization. 8,926,605 smart card records of Guangzhou bus lines from August to December in 2014 and weather data have already been collected. Ali cloud computing technology is used to process the big data and analyze passenger flow characteristics. The test between Ali cloud computing technology and traditional SQL database technology has been made. K-means algorithm is utilized to cluster the passenger travel frequency, and the structure of the passenger travel type is gained. The results show that the seasonal weather have some influence on passenger flow each month, and the group of older residents is higher than the group of students in travel frequency. The travel frequency of passengers in low level accounts for more than 80%. Cloud computing technology is used to deal with the such big data, which has a good adaptability.
Model Study on the Impact of Petroleum Hydrocarbons and Suspended Solids on a Marine Ecosystem
Authors: Liu Hao , Zhang Zhikang , Yin Baoshu 
Published: April 2020

Abstract
A Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD) type of model is developed, and coupled to a three-dimensional ocean circulation model (POM) to simulate the annual cycle of the biogenic elements in a marine ecosystem. The impact of petroleum hydrocarbons and suspended solids are also examined. A series of numerical experiments are conducted to investigate how the marine ecosystem responds to the concentration variation of petroleum hydrocarbons and suspended solids in the sea waters. It is found that as the concentration of suspended solids increases, the diatom bloom occurs for a long time, and meanwhile the dinoflagellate bloom is significantly weakened. As a consequence, the total phytoplankton biomass decreases and the nutrient concentration increase in the water column. Contrary to the SS situation, as the concentration of petroleum hydrocarbons changes, the algae biomass and the nutrient concentration don’t show the obvious differences in the water column.
A New Playing Method of the Guessing Football Lottery
Authors: Liu Shunqi , Wang Yuxin , He Hong 
Published: April 2020

Abstract
This paper analyzes the impact of sports lottery buyers’ opinions on the prediction of sports lottery and betting behavior, and designs a new “sky ladder” strategy. This strategy improves the existing playing methods in both amusement and flexibility. The author discusses the feasibility of the new strategy and its final influence over lottery companies and lottery buyers, simulates and predicts the effects of the brand-new strategy based on BP and LSTM neural network algorithms, and works out a series of simulation results that show the risks of the new playing method are well controlled.