bluuebunny/crossref_metadata_2025_split huggingface dataset:
TCAD simulation of small-pitch 3D sensors for pixel detector upgrades at High Luminosity LHC
Authors: Boughedda A , Lakhdara M , Latreche S , Mendicino R , Dalla Betta G F 
Published: February 2021

Abstract
Applications at the High Luminosity LHC (HL-LHC) have required the development of a new generation of 3D pixel sensors with increased pixel granularity, extreme radiation hardness and low material budget. To this purpose, new 3D pixels have small pitch (e.g., 50×50 or 25×100 μm2) and reduced active thickness (∼100 μm). Owing to the small inter-electrode spacing (∼28 μm in the most aggressive designs). These 3D pixels are expected to be radiation hard even after irradiation at the hadron fluences. Indeed, they are of interest for the innermost tracking layers of ATLAS and CMS (∼2×1016 neq cm−2), and beyond. In order to estimate the charge collection efficiency (CCE) after irradiation, TCAD simulations can be conveniently used, providing useful information for the optimization of sensor design and fabrication technology. Within the AIDA-2020 project, with reference to the new single-sided 3D technology from FBK (Trento, Italy), we have simulated the CCE of pixel sensors with different inter-electrode spacing irradiated at different fluences. For these simulations, a 2D domain was used, consisting of a horizontal slice taken at half the depth of a 3D sensor. Simulations consider the hit of a minimum ionizing particle, described by the Heavy Ion model at different points within the active area. In addition, bulk radiation damage is accounted by using advanced deep-level trap models. This paper reports a comprehensive description of the simulation results based on a radiation model validated by comparison to experimental results from n-in-p strip detectors at 248 K and 900 V bias.
Explaining B decays anomalies in SUSY models
Authors: Boubaa Dris , Khalil Shaaban , Moretti Stefano 
Published: February 2021

Abstract
Recent measurements of certain B decays indicate deviations from Standard Model (SM) predictions. We show that Supersymmetric effects can increase the Branching Ratios (BRs) of both B → Dτντ
and B → D*τντ
with respect to the SM rates, thereby approaching their newest experimentally measured values.
Lepton flavor universality violation in a 331 model in b → sl
+
l
− processes
Authors: Lebbal S , Mebarki N , Mimouni J 
Published: February 2021

Abstract
Lepton Flavor Universality Violation (LFUV) in b → sl
+
l
− processes is investigated in the context of a 331 model. It is shown that in order to explain the experimentally observed deviations from the Standard Model in these FCNC transitions, a non-minimal version of the model has to be considered. We investigate the ability of this model in accommodating the model-independent scenarios currently favored by global fits.
Real time ultrasoft fermion self energy at next to-leading order in hot QED
Authors: Bouakaz Karima , Abada Abdessamad 
Published: February 2021

Abstract
Subsequent studies of the behavior of the gluon and quark damping rates in the imaginary-time formalism have indicated that there are difficulties in the infrared sector [1, 2, 3, 4, 5, 6, 7]. To look further into the infrared behavior, we propose to calculate the next-to-leading order dispersion relations for slow-moving Fermions at high-temperature quantum electrodynamics (QED) in real-time formalism. We determine a compact analytic expression for the complete next-to-leading contribution to the retarded fermion self-energy with ultrasoft momentum in the framework of hard-thermal-loop (HTL)-summed perturbation of massless QED at high temperature. The calculation is done using real-time formalism. The next-to-leading order fermion self-energy is written in terms of three and four HTL-dressed vertex functions. The real part and the opposite of the imaginary part of the retarded fermion self-energy are related to the next-to-leading order contributions of energy and damping rate respectively.
Compiling single-qubit braiding gate for Fibonacci anyons topological quantum computation
Authors: Rouabah M T , Belaloui N E , Tounsi A 
Published: February 2021

Abstract
Topological quantum computation is an implementation of a quantum computer in a way that radically reduces decoherence. Topological qubits are encoded in the topological evolution of two-dimensional quasi-particles called anyons and universal set of quantum gates can be constructed by braiding these anyons yielding to a topologically protected circuit model. In the present study we remind the basics of this emerging quantum computation scheme and illustrate how a topological qubit built with three Fibonacci anyons might be adopted to achieve leakage free braiding gate by exchanging the anyons composing it. A single-qubit braiding gate that approximates the Hadamard quantum gate to a certain accuracy is numerically implemented using a brute force search method. The algorithms utilized for that purpose are explained and the numerical programs are publicly shared for reproduction and further use.
Experimental Study Via Dynamic Prediction Model on High Pressure Hydraulic Slotting and High Efficiency Gas Drainage Technology under Complex Geological Conditions
Authors: Li Chengcheng 
Published: February 2021

Abstract
In view of the difficult problem of dynamic disaster prevention and control in deep high gas, high stress and low permeability coal seam, the change law of drilling stress after seam cutting through drilling and bedding drilling is revealed by using numerical simulation method. The high-pressure hydraulic slotting method is used in Xinji Mining Area to carry out pressure relief and permeability increase test on coal seams. The test results are as follows: the slotting radius reaches 2.5m, and the net amount of gas extraction is 4.5 times higher than that of ordinary drilling holes, so as to realize efficient gas extraction in coal seams and reduce the risk of coal seam outburst. The technology of high-pressure hydraulic slotting, pressure relief and permeability enhancement can be used as a supplementary means for the prevention and control of coal seam dynamic disasters in deep mines.
Architecture and Design of Oracle Scheduler
Authors: Liu Jimin 
Published: February 2021

Abstract
Oracle scheduler focuses on the automatic management, maintenance and monitoring of Oracle database jobs. Through it, many routine database tasks can be automatically executed, and human intervention can be reduced, so as to improve the efficiency of system operation and implement more flexible and complex task management. This paper introduces the concept and classification of Oracle scheduler, analyzes each component of Oracle scheduler, explains its overall architecture and tasks of different components, summarizes the problems needing attention in design according to design experience, and illustrates its application through the creation of Oracle scheduler object instance, job scheduling and evaluation of execution frequency.
An Intelligent Obstacle Avoidance Method in Unmanned Driving
Authors: Li Jinze , Liu Qinrui , Dong Hui , Wu Maowei 
Published: February 2021

Abstract
This paper proposes an intelligent obstacle avoidance method in unmanned driving. This method first establishes a simplified model for the obstacle avoidance problem in unmanned driving, and constrains the car from kinematics, physics, travelable area, and critical collision. Then list the equations and uses the direct collocation method to discrete the equation. The problem is turned into a nonlinear programming problem.
Exploration & Research on Distance Education System Based on Blockchain Technology
Authors: Liu Xiaogang 
Published: February 2021

Abstract
In this paper, it mainly explores and studies the distance education system based on blockchain technology according to the characteristics of blockchain technology, such as “decentralization, de-trust, non-tampering and traceability”, etc. First of all, it designed a multi-layer logical structure; Second, it proposed an improved DPoS consensus mechanism; Third, it analyzed the generation steps of the blockchain in the system and the functional process of the consensus mechanism. As a result, by using the distance education system based on blockchain technology, the distance education centers distributed all over China can not only strengthen the sharing of teaching resources and improve the management efficiency, but also better improve the safety and transparency of their teaching, scientific research and management.
Research on Efficient Retrieval Technology of Optical Characteristics of Image Resources in Digital Library
Authors: Zhao Guotao , Ding Jie , Li Honglai , Xu Fang 
Published: February 2021

Abstract
In order to improve the intelligence of digital library image resources, this paper proposes an efficient retrieval technology of digital library image resources based on deep learning and semantic feature extraction, which uses infrared and radio frequency transverse scanning technology to scan the front cover and back cover of digital library image resources, and divides the text and image regions of scanned digital library image resources infrared and radio frequency images. In the infrared and radio frequency transmission space, the collected scanned image resources of digital library are subjected to semantic diversification feature decomposition and feature separation, and the binary semantic ontology information features of digital library image resources are extracted. Combined with the image semantic feature extraction method, the convergence control in the process of extracting the structural features of digital library image resources is realized, and the digital library image resources are retrieved based on the extracted library resource information feature components. Simulation results show that this method has higher precision and shorter retrieval time, which improves the retrieval efficiency of digital library.
Research on Optimization of Multi-AGV Path Based on Genetic Algorithm Considering Charge Utilization
Authors: Wang Jianjun , Pan Junnan , Huo Jikun , Wang Ran , Li Li , Nian Tiantian 
Published: February 2021

Abstract
The rapid development of e-commerce and artificial intelligence technology has led to the rapid development of unmanned warehousing automation technology in the logistics industry. Unmanned warehousing and automated guided vehicle (AGV) equipment in unmanned warehousing have also increased. Since the AGV needs to be charged, based on the traditional simple path optimization, if the sorting efficiency of logistics needs to be further improved, the charging problem of the AGV needs to be considered. This paper constructs a multi-AGV path optimization model in an unmanned storage environment based on the charging utilization rate. The model takes the shortest path and the highest charging utilization rate as the dual goals, and selects the genetic algorithm as the method to solve the model, which is verified by simulation experiments. The proposed model and algorithm have certain validity and feasibility.
Early Warning about Coal Mine Safety Based on Improved PNN-DS Evidence Theory
Authors: Wang Yuanbin , Zhou Chong 
Published: February 2021

Abstract
This paper establishes a two-level information fusion model based on improved probabilistic neural network and DS evidence theory to achieve the purpose of early warning of coal mine safety risk levels and apply the principle of information fusion to safety early warning problems. Firstly, this paper improves the traditional probabilistic neural network is improved in this paper. Then, input the sample data the sample data is input into the improved probabilistic neural network to obtain the basic probability assignment. Finally, the output of the neural network is fused by DS evidence theory. The historical data of a coal mine work face are trained and tested by MATLAB. The results show that the model established in this paper has a higher prediction accuracy, and realizes the purpose of early warning of coal mine safety risk level better, which has is meaningful and significant for the safety management of coal mine.
A Novel Resource Allocation Method for Network Slices in Power Grid
Authors: Shang Fangjian , Li Xin , Zhai Di , Lu Yang , Zhang Dong Lei , Yuwen Qian 
Published: February 2021

Abstract
To allocate the network slice optimally, a two-phase optimal allocation approach is proposed to assign the network slices with users. First, the network slice allocation system in the core cloud network is modeled as a Markov process, and then the deep reinforcement learn is adopted to allocate the network slices. In the second phase, we formulate the network slice allocation problem as Lagrange multipliers problem. The iteration method is designed to achieve the optimization problem. Numerical results demonstrate that the proposed approach can allocate the network slices at a high efficiency.
Research on Security Technology of Network Communication Information Based on Double Encryption
Authors: Fan Xiaolong 
Published: February 2021

Abstract
Data is transmitted from the server to the terminal or the terminal to the server during the transmission process, the data information is easily monitored or tampered with, which will cause information leakage or data display false data. If the wrong instruction information may be received in the industrial control field, it will bring a lot to industrial production. Hazards and losses, so in order to ensure the reliability and data security of the network communication between the terminal and the server, industrial equipment and management system, it is very necessary to use secure communication connections and reliable data encryption algorithms to ensure communication and data security.This paper proposes an improved AES and MD5 hybrid encryption scheme, which uses SSL to encrypt the transmission channel during the communication process, uses the improved symmetric encryption algorithm AES to encrypt the data in network transmission, and encrypts the data at the sending end Then use the improved MD5 to generate a digital fingerprint for the encrypted data. At the receiving end, use MD5 to generate the same fingerprint for the encrypted data sent, and use the digest fingerprint verification to determine whether the data has been tampered with or lost during transmission. is possible to greatly improve the security and reliability of system communication and data.
3D DP Improved Algorithm Based on Bending Hierarchy Structure Identification
Authors: Wang Aimin , Dou Shiqing 
Published: February 2021

Abstract
3D Douglas-Peucker (DP) algorithm is an effective 3D discrete point data synthesis algorithm. In view of over-synthesis of compound bending during simplification of 3D DP algorithm with additional bending adjustment index, this paper designs a bending hierarchical structured algorithm to improve the original algorithm. Bending convexity threshold is introduced to merge the bending operation, curve skeletons with different scales are selected through statistics of bending height distribution. Bending adjustment index on different hierarchies of bending skeleton is calculated for synchronous synthesis between line features and DEM. The experimental results show that the structuring process well retains the original details of the curve, clearly presents the overall curve trend with obvious simplification effect, thus solving the problem of over-synthesis of compound bending, so that the curve displays different bending hierarchy structures. The simplification result demonstrates completeness of geographical significance and similarity between the graphics before and after the simplification.
Research on Coordinated Control Strategy of AC-DC Hybrid Microgrid Bidirectional Converter
Authors: Cai Wenchao , Jia Junqing , Gao Min 
Published: February 2021

Abstract
Based on the improved droop control of the bidirectional converter controlled by the DC (direct current) side power quantity, a coordinated control scheme with energy storage is proposed. Not only can the two-way converter automatically and smoothly switch in the rectification, inverter, and idle modes, but also the energy storage device can perform coordinated control in the DC side idle mode to maintain the DC bus voltage stability. Using DC side power control, there is no need to switch control strategies to meet islanding and grid-connected modes. The simulation results show that improved droop control can reduce frequent actions of power electronic devices caused by small-range fluctuations in DC bus voltage and AC (alternating current) frequency. Coordinated control can make the DC bus voltage more stable, ensure stable operation of the AC and DC hybrid microgrid, and improve system reliability.
Research on Marketing Development under the Background of Artificial Intelligence Technology
Authors: Lu Wenyang 
Published: February 2021

Abstract
In today’s society, my country’s science and technology has made many advances and breakthroughs on the original basis. Among them, artificial intelligence technology has been further improved in this new market environment, and the operating methods of all sectors of society have undergone earth-shaking changes under the guidance of this new technology. Many traditional industries on this basis have a more brilliant development prospects. As an important part of various enterprises, marketing work has also undergone new changes due to the application of artificial intelligence technology. Especially in an environment where various information and data can be shared and used via the Internet, artificial intelligence technology can show all its advantages. All data information can be refined analysis through advanced computer system.
Application of Computer Technology in Administrative Management
Authors: Li Shaoxi 
Published: February 2021

Abstract
In recent years, computer technology is developing at a rapid rate, and its development direction is no longer limited to the technology industry, and it has been widely used in various fields. Computer technology has also been introduced into the administrative management of colleges and universities, which not only provides a new working mode for the implementation of the administrative management of colleges and universities, but also helps to improve the level of administrative management of colleges and universities, so that it can provide better services for the development of colleges and universities. Therefore, the article analyzes the application of computer technology in administrative management, aiming to optimize the quality of university administrative management and promote the development of university education.
COVID-19 and pathways to low-carbon air transport until 2050
Authors: Gössling Stefan , Humpe Andreas , Fichert Frank , Creutzig Felix 
Published: February 2021

Abstract
The COVID-19 pandemic has led to an unprecedented decline in global air transport and associated reduction in CO2 emissions. The International Civil Aviation Organization (ICAO) reacted by weakening its own CO2-offsetting rules. Here we investigate whether the pandemic can be an opportunity to bring the sector on a reliable low-carbon trajectory, with a starting point in the observed reduction in air transport demand. We model a COVID-19 recovery based on a feed-in quota for non-biogenic synthetic fuels that will decarbonize fuels by 2050, as well as a carbon price to account for negative externalities and as an incentive to increase fuel efficiency. Results suggest that until 2050, air transport demand will continue to grow, albeit slower than in ICAO’s recovery scenarios, exceeding 2018 demand by 3.7–10.3 trillion RPK. Results show that synthetic fuels, produced by 14–20 EJ of photovoltaic energy, would make it possible to completely phase out fossil fuels and to avoid emissions of up to 26.5 Gt CO2 over the period 2022–2050.
Lifelong exposure to air pollution and cognitive development in young children: the UK Millennium Cohort Study
Authors: Milojevic Ai , Dutey-Magni Peter , Dearden Lorraine , Wilkinson Paul 
Published: February 2021

Abstract
Evidence about the impact of air pollution on cognitive development of children has been growing but remains inconclusive. To investigate the association of air pollution exposure and the cognitive development of children in the UK Millennium Cohort Study. Longitudinal study of a nationally representative sample of 13 058–14 614 singleton births, 2000–2002, analysed at age 3, 5 and 7 years for associations between exposure from birth to selected air pollutants and cognitive scores for: School Readiness, Naming Vocabulary (age 3 and 5), Picture Similarity, Pattern Construction (age 5 and 7), Number Skills and Word Reading. Multivariable regression models took account of design stratum, clustering and sampling and attrition weights with adjustment for major risk factors, including age, gender, ethnicity, region, household income, parents’ education, language, siblings and second-hand tobacco smoke. In fully adjusted models, no associations were observed between pollutant exposures and cognitive scores at age 3. At age 5, particulate matter (PM2.5, PM10), nitrogen dioxide (NO2), sulphur dioxide (SO2) and carbon monoxide (CO) were associated with lower scores for Naming Vocabulary but no other outcome except for SO2 and Picture Similarity. At age 7, PM2.5, PM10 and NO2 were associated with lower scores for Pattern Construction, SO2 with lower Number Skills and SO2 and ozone with poorer Word Reading scores, but PM2.5, PM10 and NO2 were associated with higher Word Reading scores. Adverse effects of air pollutants represented a deficit of up to around four percentile points in Naming Vocabulary at age 5 for an interquartile range increase in pollutant concentration, which is smaller than the impact of various social determinants of cognitive development. In a study of multiple pollutants and outcomes, we found mixed evidence from this UK-wide cohort study for association between lifetime exposure to air pollutants and cognitive development to age 7 years.
Effect of carbon materials as cathode on wastewater treatment and bioelectricity generation in a double chambered microbial fuel cell
Authors: Yap Kea-Lee , Ho Li-Ngee , Ong Soon-An , Guo Kun 
Published: February 2021

Abstract
Microbial fuel cell (MFC) is a promising and sustainable technology that has high efficiency to produce renewable energy and treat wastewater simultaneously. The effect of carbon materials on the removal of synthetic wastewater in the anodic chamber and electricity generation were investigated using a double chambered MFC. In this study, a double chambered reactor made up of anodic and cathodic chambers separated by proton exchange membrane has been developed. Carbon plate and carbon felt were characterized using scanning electron microscopy. Results revealed that 1.20 times higher chemical oxygen demand removal of synthetic wastewater using carbon felt (50.90%) as compared with that of carbon plate (43.52%). The maximum voltage output produced by carbon felt (280.20 mV) was 20.70% higher than carbon plate (222.20 mV) as cathode in MFC. The surface morphology of carbon materials has significant effect on the oxygen reduction reaction reactivity at cathodic chamber.