bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Different Detection Paradigm for WMIPs
Authors: Sun Yizhou
Published: March 2023

Based on astrophysics observation, dark matter accounts for approximately 84% of all matter in the universe, with the remaining 16% being ordinary matter. According to the prevailing scientific model, dark matter particles are supersymmetric particles with a mass of 100 GeV (about the mass of 100 protons) with the density about 5000 particles m-3. Yet such a dominant substance dominates the universe, but one has not detected yet. Among various candidate, WIMPs are one of the most appealing one that plenty of facilities aim to detect. In this essay, the detection principles and some recent results of two representatives of the state-of-art mainstream detection methods were presented, i.e., the ‘Wukong’ astronomical satellite (DAMPE) and the Jinping Mountains of Sichuan Province, China (CJPL). It was shown that ‘Wukong’ has successfully detected an electron-positron pairs at an energy of 0.9 Tev. In Jinping, experiments are proposed to detect liquid argon dark matter. In this review, the two methods of detecting dark matter will be compared and the advantages, disadvantages will be analyzed. These results shed light on guiding further exploration of dark matter.
The Impact of Super Massive Black Hole (SMBH) on Galaxy and Star
Authors: Luo Weichen
Published: March 2023

Black hole, one of the most inscrutable objects in the universe have been confirmed that nearly every galaxy contain a super massive black hole (SMBH) at its centre. SMBH’s mass is astounding high which contains millions of solar masses, such huge black hole will generate huge gravitational effect on the region nearby. However, studies indeed found the correlation between black hole and its host galaxy. This paper investigates the impact of black holes on galaxies’ structure and stars based on different black hole mass relation simulations. The exact effects on black holes on galaxies remain unclear, but different simulations certainly found the correlations of black hole’s mass with galaxy’s variables and stars. According to the analysis, correlations of MBH, σe, stellar mass, star formation rate and kinetic energy shows the energy emitted by the ANG/black hole affect the inner structure of the galaxy and the properties of stars which disturbing the gas reservoir in the galaxy. The impact on stars can be reflected by the impact on galaxies. Study galaxies is a good way to find more properties and details about the growth and the formation of SMBHs at the centre of the galaxies. The general structure of the galaxy also provides an indication of the structure of the universe and stars’ organizations.
Prediction of S&P500 Stock Index Using ARIM and Linear Regression
Authors: Guo Kefei , Jiang Zifan , Zhang Yujian
Published: March 2023

This paper mainly establishes a linear model suitable for the volatility of the S&P 500 index and forecasts the S&P 500 index. Firstly, the data set is divided into the training set and test set. After testing a series of data attributes such as the smoothness of the original data series and log series, the original data series and log series of the S&P 500 index weekly data series are modeled based on the ARIMA model. The next step is to check the fit of the model and use ACF and PACF to determine the parameters of two different models to fit the original data series and the log data series, respectively. Based on two different models, the rationality of the model is confirmed by the residual white noise test and various natural maps. By establishing the model and analyzing the residual error of the model, finding out unreasonable fluctuation of the residual error of the model fitting and giving the corresponding explanation combined with the history. Finally, a fitted model to make rough forecasts for the S&P 500 from January 2020 to December 2020. Although this forecasting model cannot predict detailed fluctuations daily, it can still correctly determine whether a stock is going up or down. To sum up, the ARIMA model does not perform well in stock forecasting and it may need to be improved using other methods.
The Investigation about Impacts of Fukushima Nuclear Leakage Accident and Effects on Public Attitudes
Authors: Lin Yunxi
Published: March 2023

The safety issues of using nuclear energy and its probability to become a reliable, efficient energy source in the future are controversial topics that people are arguing about. This essay focused on the analysis of specific nuclear energy accidents, which represented the safety problems of using nuclear energy, and discuss some personal opinions on the plausibility of nuclear energy becoming a dominant energy source in the future, which gave some understanding of nuclear energy use in environmental aspect and thus help people to gain a better understanding toward nuclear energy usage. In the illustration part, this essay collected data, research, and explanations from several articles and essays to provide a comprehensive analysis. At the end of this research, I found that damages caused by nuclear energy are severe and unneglectable, which can greatly pollute land, atmosphere, and ocean in a wide region. Therefore, a large number of people opposed further use of nuclear energy owing to its disastrous effects after the accident. However, nuclear energy has several benefits that can become a dominant energy source in the future. Overall, nuclear energy can become reliable in the future although the consequences created by the leakage after the Fukushima nuclear leakage accident are severe, which would be discussed in the following essay.
Demonstration and Comparison of Different Entanglement Fabrication Approaches
Authors: Che Tianrui
Published: March 2023

Quantum entanglement is the most representative feature of quantum mechanics to classical mechanics. It is the delocalization, non-classical strong correlation among multiple quantum system. It has been developed for nearly one hundred years and a lot of methods of production and applications have been proposed. Aiming at the generation mode of quantum entanglement, this study presents two general preparation methods of quantum entanglement sources, including spontaneous parametric down-conversion (SPDC) and the preparation of quantum entanglement sources based on the four-wave mixing (FWM) effect. The principle, advantages and disadvantages of quantum entanglement sources are analyzed respectively. Finally, the research and application direction of the preparation method of quantum entanglement source are prospected. With the ability of preparation of quantum entanglement source, the application of quantum entanglement developed quickly, (e.g., quantum teleportation, entanglement swapping, quantum key distribution and quantum dense coding in the area of communication), and other area such as quantum computer, quantum imaging, quantum ranging and quantum clock synchronization. These results shed light on guiding further exploration of entanglement fabrication.
The Residue Theorem
Authors: Sun Yueran
Published: March 2023

Cauchy's Residue Theorem, commonly known as the residue Theorem, is a key theorem in complex variables because it enables people to determine the enclosed curve line of integrals for functionalities. Real integrals and infinite series may also be calculated using it. Our ability to handle complicated analysis is improved by the residue theorem. By connecting the internal Ehrhart polynomials to the closures, we illustrate these tetrahedron Ehrhart-Macdonald reciprocity laws. We calculate the Earhart coefficient of the codimensions to demonstrate our methodology. We conclude by demonstrating how to use our ideas to locate any paste applied with a convex lattice.
Challenges of Physics Education in China, A Perspective of Lab Performance
Authors: Yang Honghao
Published: March 2023

This paper includes the analysis of Chinese undergraduate students’ performance in the field of physics study. Based on the data collected from a survey inquiring the high school students in Beijing about their lab study circumstances, this analysis offers a potential reason for Chinese university students’ strong theoretical ability but poor manual dexterity. The result shows that compared with other educational systems, the experiment time for Chinese high school students is generally shorter. In addition, the format of experiments is also inflexible in the way students have to follow their teachers instead of designing their own experiments. In students’ opinion, they would like to do more physics experiments since those can stimulate their interests in physics so they are motivated to learn more. However, proper experiments for Chinese high school students are still an issue waiting for an investigation.
Black Hole Formation and Gravitational Waves Generation
Authors: Qiu Xinrui , Xiang Siyuan
Published: March 2023

In the present day, black holes have recently attracted a variety of attention. Black holes and gravitational waves were studied more than 100 years ago. From theoretical reasoning and formula derivation to detector observation, people never stop to explore these curious things. This paper mainly describes the essential information and principle of black holes, and gravitational waves, as well as the basic operation principle of LIGO detectors. The basic definition of gravitational wave and several sources of the gravitational wave is discussed in this paper. According to the analysis, the properties of waves can be used in detecting gravitational waves, as well as more hidden matter. In 1915, Einstein proposed the general theory of relativity, which foresaw the existence of black holes but did not believe that black holes were real. In the 1960s, American scientist John Wheeler first named this incredible celestial body black hole. The search for gravitational waves has had a profound impact on people. With gravitational waves, people can discover an unknown matter which can be studied and benefit humankind. These results shed light on guiding further exploration of dark energy, matters, and more black hole observations.
Demonstration of Models and Detection Scenarios for WIMP And Axion
Authors: Sun Wenrong
Published: March 2023

The dark matter physics is a significant part of high energy physics. The model of the dark matter candidate was proposed in last century. In this paper, the analytical models and detection approaches for the WIMPs and axion will be discussed. As one of the candidates, weakly interacting massive particle was proposed to be a good candidate in the past few decades and its model was well established. Many miracles and coincidence of the WIMP properties make it become the most popular candidate for researchers and a lot of detection method was conducted. Direct detection of WIMP is the corner stone of dark matter detection. However, there is no notable progress for WIMP detection until now and the wave dark matter has become popular for researchers. The axion (one of the candidates of dark matter) can resolve the small-scale problem caused by particle dark matter profile. Besides, wave nature of the axion allows researchers to use the pulsar signal to detect them. This paper will give a picture of WIMPs and axion model and detection, inspiring researchers to improve the detection method. These results shed light on guiding further exploration of dark matter searching.
Alysis of Laser-Plasma Based Electron-Positron Collider
Authors: Liu Sheng
Published: March 2023

Contemporarily, the collider plays a vital role in research and analysis for high energy physics, particle physics and astrophysics. However, conventional colliders usually need a large budget to operate as well as cover a large area for displacing the facility. With the rapid development of the laser techniques, the laser-plasma accelerator paves a path to accelerate particles in a compact way. On this basis, this paper will analyze the feasibility and recent progress for electron-positron collider realization via the concept of the laser-plasma acceleration. To be specific, the principles behind it will be analyzed initially. To be specific, an intense electromagnetic could make the plasma oscillated due to the pondermotive force, and the electron field created by the oscillation of the plasma could accelerate electrons to high energy. In addition, the possibility of applying laser plasma acceleration in to electron-positron collider is examined. These results shed light on guiding the further exploration of future electron-positron collider.
Analysis of Dark Matter Candidates and Detection Scenarios
Authors: Chen Shu
Published: March 2023

In recent years, the observations collected by the state-of-art detectors have shown that there is considerable amount of invisible matter in our universe, which is named as dark matter. The study of dark matter has become one of the main research directions nowadays. Contemporarily, there are many particle models are considered as candidate of dark matter, including the models of axion, sterile neutrino, and Weakly Interacting Massive Particle (WIMP) e.g., inert Higgs boson, lightest Kaluza-Klein particle and neutralino in supersymmetry. Furthermore, there are also many experiments and measurements of axions and WIMPs, including axion haloscope ADMX, axion helioscope CAST, and WIMP nuclear recoil detection experiments, such as LUX-ZEPLIN and DarkSide-50. In this paper, the basic model of above candidates will be introduced. In addition, discussion about the additional parity-like symmetry for WIMP model building, shortage of the experiments and the future upgraded dark matter experiments will also be presented. Overall, these results shed light on guiding further exploration of dark matter detection and searching.
Analysis And Prediction of COVID-19 Based on Machine Learning
Authors: Xia Ye , Zhu Peiyu , Zhou Zhe
Published: March 2023

Artificial intelligence (AI) technology is in high demand today for wireless infrastructure integration, real-time data collecting, and end-user device processing. The most innovative answer at hand right now is the use of AI to recognize and forecast widespread epidemics. The pandemic, which started with COVID-19, has had a terrible impact on world society and placed a significant load on the most developed healthcare systems globally. According to the European Centre for Disease Prevention and Control (ECDC), as of May 11, 2020, there had been 282,244 fatalities and more than 4,063,525 confirmed cases. However, given the current exponential and rapid development in the number of patients, it is essential to make use of AI technology to quickly and accurately estimate the prognosis of infected individuals.
Demonstration of Different Magnet Technology in Colliders
Authors: Dong Wenjia , Ge Qiudi , Guan Yuhang
Published: March 2023

The large hadron collider in high-energy physics is a very frontier and the state-of-art facilities in high energy physics with high level technical content and requirement. It is mainly composed of a particle accelerator that accelerate the particles, the detector which observe the reaction and the product of collision and the application of the high temperature and low temperature superconductor. However, due to the operation cost is pretty expensive, it requires high technical support. In this paper, we looking at the integration of data analysis that was established online as the study of the accelerator, detector and the superconductors, The operating principles , conditions required and the academic content of these three parts are analyzed, and then corresponding suggestions are given, such as reducing the low temperature environmental cost required by superconductors, improving the accelerators and detectors, future prospects and the suggestions given for the future development of superconductor materials. These results shed light on guiding further exploration of magnetic designs for colliders.
Relationship Between Cauchy Integral Theorem and Residue Theorems
Authors: Guo Jiaming , Song Biran
Published: March 2023

Cauchy integral theorem belongs to an extremely important part of complex functions, which is a fundamental bridge, and people can derive Cauchy integral theorem from the residue theorem. Cauchy's integral theorem is generally applied in many higher mathematics, is an important theorem concerning path integrals of fully pure functions. It claims that if there are two different paths from a point to another point and the function is fully pure between these two different paths, then it can be derived that the two path integrals of the function are equal. It is widely believed that the a generalization of Cauchy integral theorem and Cauchy integral formula is just like the residue theorem, and the flexible use of the residue theorem can easily solve some difficult problems in complex functions. Therefore, this paper will use the definition and derivation process of Cauchy residue theorem and integral theorem to demonstrate the specific connection between them and their practical application.
The Application of Residue Theorem in The Calculations of Real Integrals
Authors: Feng Licheng , Yao Xinguo , Zhai Zixin
Published: March 2023

Complex analysis focuses on the functions of complex variables. The research on complex analysis began in 19th century by mainly Cauchy, Riemann, and Weierstrass. In 1825, Cauchy established Cauchy’s integral theorem, indicating that the value of a complex function at a point within a closed contour  is entirely dependent on values of the functions at points on the contour . Cauchy’s integral theorem is a significant theorem in complex analysis, which was then further developed into Cauchy’s residue theorem. In this paper, the authors introduce the fundamentals of complex analysis. In Introduction, the authors discuss the history of complex analysis and residue theorem and summarizes the content of published articles and books. In Method, the authors explain the definitions and fundamental properties of complex functions. In Result, the authors use examples of different forms of real integrals to demonstrate the application of residue theorem in the calculation of real integrals.
High Energy Cosmic Generation Form Collisionless Shock Wave Acceleration
Authors: Chen Kaiyi
Published: March 2023

The collision less shock wave one of the shock waves that is more likely to detect in the plasma that come from the magnetosphere, interplanetary space and so far. The most significance difference between other shock wave is the direct collision between particle is almost not exist. To be specific, the bow shock wave that occur by the interact of magnetosphere of an astrophysical object and solar wind is one of the collisions less shock wave. The collision-less shock wave in the universe could accelerate the particle in to high energy and form cosmic rays. In this essay, the basic reorganization of collision-less shock wave will be illustrated. On this basis, this paper is going to analysis a few mechanism of how the collision-less shock wave accelerate the particle and the recent experiment about the shock wave. According to the analysis, lots of state-of-art observations can be explained. These results shed light on guiding further exploration of high energy cosmic ray.
Comparison Of the Detection Scenarios of Wimps And ALP
Authors: Huang Junheng
Published: March 2023

Contemporarily, the dark matter remains a mysterious part of cosmology beyond standard model, which has not been detected yet. Plenty of different detection methods have proposed in order to ensure the existence of dark matter. In addition, its exotic properties have also been identified as beyond the standard model of particle physics, which led to the emergence of different dark matter candidates one by one. With this in mind, this paper will select two kinds of well-explored candidates (i.e., WIMPs and ALP) to discuss the detection scenarios and progress. To be specific, this study will introduce the two detectors and then compare the efficiency and performance of the Organic Crystal Detectors and KAGRA's relative to exploring WIMP and ALP dark matter candidates. Finally, this research will discuss the current shortcomings of the two state-of-art detectors as well as their future outlook. Overall, these results shed light on guiding further exploration of dark matter candidate investigation.
Solution For Improving Wearing Comfort of Hands Exoskeleton
Authors: Long Hao , Wang Chongxu , Zhang Yinhao
Published: March 2023

In recent years, with the development of exoskeleton technology, it has been widely applied in the area of rehabilitation. However, in the rehabilitation of neurological diseases such as cerebral stroke, the rehabilitation of hands exists multifaceted difficulties. Long treatment period, choices of therapeutic schedule and costly treatment are common factors that affect the efficiency of rehabilitation. To improve hands exoskeleton’s therapeutic effect in the neurological rehabilitation. A considerable number of papers have been studied and the development trend of hands exoskeleton was revealed. This review focuses on the wearing comfort of hands exoskeleton, since wearing comfort is an essential factor when launching arm exoskeleton on the market. This article elaborates on the methods of improving exoskeleton’s wearing comfort based on rigid mechanism design and soft or flexible hand exoskeleton design. This article mainly discusses the improving control system and adapted materials, aiming at finding the similarities and differences among various solutions. Pictures concerning each method are also provided for better understanding. Besides, this article provides conclusive perspectives on the existing design and expectations for the further studies.
Influence of Skin Color and Data Pre-processing on Gender Classification
Authors: Shao Zihang
Published: March 2023

Face recognition and gender classification is one of the hot spots at present, how to get better results in the recognition process is the key. This research was based on neural networks.  While some researchers have explored this issue through neural networks, this research focuses on the impact of data processing other than the model on the final results. First of all, through the manual review and screening of data sets, the training set of face images only retained deep color skin face images, and the test set did not do selection processing. The final results of the model which based on selected data set are not much different from that of the model based on the unselected training set, except for a slight decrease in the recall rate of female face recognition. Secondly, by the method of control variables, the effect of the three kinds of data pre-processing is compared. The results show that both random cropping and normalization can improve some attributes of the model to varying degrees, but only random horizontal flipping has a certain negative effect on the model. In this research, it was found that the smaller proportion of white skin face image training sets hardly affected the model performance. Data pre-processing can effectively improve the model, but the use of random horizontal flips in a data set with a great number of small tilt angle images may lead to the deterioration of the results on the training set.
Bit-Width Conversion Based on Asynchronous FIFO
Authors: Song Xianshun
Published: March 2023

As digital integrated circuits become larger and larger, data transfer between different clocks and different bit widths becomes inevitable. For different clocks, asynchronous First In First Out (FIFO) can be used to solve very well. In this paper, we introduce the basic theory of asynchronous FIFO, and then implement the transfer between different bit widths based on asynchronous FIFO. By analyzing the bit-width conversion in two cases, input bit-width < output bit-width and input bit-width > output bit-width, we finally get a unified conversion idea: input data is assembled and input into asynchronous FIFO, and asynchronous FIF3O output data is split and output, and a bit-width conversion method is given by borrowing the storage function of asynchronous FIFO. Finally, the simulation is verified with the help of Verilog. By this method, an asynchronous FIFO can be implemented for conversion between various bit widths without considering the difference between input bit widths larger or smaller than output bit widths, and the conversion can be done in one step, thus improving the conversion efficiency.
A Cross-Software Presentation Practice for Graphics-Related Digital Media
Authors: Huang JunWei Justin , Kong Jiacheng , Lu Yucheng
Published: March 2023

Over the years, computer graphics and digital media technologies have developed tremendously, and more and more application requirements show that excellent audiovisual effects brought by integrating multi-domain digital media technologies are the key to future human-computer interaction. This paper hopes to demonstrate the feasibility of scene integration applications using modeling software and linkage with other software such as Unity engine and music design software AbletonLive. This paper achieves the desired scene integration application by modeling simplified geometry with a self-designed cartoon-style character renderer fused with a dynamic presentation method with homemade music. All designs were combined in the Unity engine and dynamically displayed to a randomly selected audience and their evaluation data were collected. According to the statistical data, the audience had a very good impression of the multimedia design in general.
Research On Image Stylization Methods Based on Deep Network
Authors: Li Zhuoqun , Yan Zihan
Published: March 2023

For the purpose of promoting the research of deep neural networks, image stylization has received extensive attention. Researchers have proposed a huge number of image stylization methods based on deep neural networks. In this paper, image stylization methods are divided into two categories: image stylization method based on reference and based on domain. A series of stylization methods. Several classicals methods are summarized, and the performance of the two categories of stylization methods on the common data sets of image stylization tasks are compared respectively, the developments of image stylization in video, human face and brushwork are proposed, the current progress of image stylization and the future research direction are mentioned. At the end of the article, the full text is summarized and summarized.
Fault Diagnosis of Mine Hoist Based on MFCC-SVDD
Authors: Wang Xiao , Li JingZhao
Published: March 2023

In the field of coal mine production, mine hoist plays a very important role in the whole mine transportation engineering. Its safety and stability directly affect the production efficiency of coal mine and the life safety of staff. In view of this, a fault diagnosis method of mine hoist based on MFCC-SVDD is proposed. By collecting the audio signal of the elevator, MFCC algorithm was used to extract the sound signal of multiple channels and the MEL frequency cepstrum coefficient was used to extract the fault characteristic parameters. Based on the one-class classifier SVDD, the hypersphere of the elevator was constructed to test and recognize the sound signals in the training, and the classification and recognition of the fault types of the elevator were completed. The MFCC characteristic parameters of 600 training samples were randomly selected as input to train the model, and 200 test samples were identified. The accuracy of fault identification reached 85%-96%, which provided a guarantee for mine production safety.
Research on Comprehensive Performance Optimization Method of Explosives and Propellants Oriented to the Whole Process
Authors: Zhang Lin , Yang Yiming , Liu Tongqing , Yan Rui
Published: March 2023

Explosives and propellants are common basic energy for weapons and equipment to achieve delivery, damage, and control, and are an important manifestation of national defense power. However, due to the wide variety of products and complex performance, the traditional serial design optimization mode can no longer meet the requirements of product diversification and rapid development. In this paper, the design process of explosives is deeply studied, and a method for optimizing the comprehensive performance of explosives and propellants oriented to the whole process is proposed. The method uses a comprehensive performance optimization engine to numerically model different design links in a unified parameter space, connects different links horizontally, and adopts a multi-objective optimization algorithm to comprehensively consider the optimization objectives of different links, realizing the automatic execution of the optimization process according to the design process. In order to verify the effectiveness of the method, this paper optimizes the formula of explosives and propellants based on two different types of explosives, gun propellant and rocket propellant. Experimental results show that this method improves the design efficiency and improves product quality under the premise of ensuring safety and manufacturability.
A self-adapting greedy forwarding algorithm for MANETs
Authors: Ding Yunzheng
Published: March 2023

As the population application of GPS, some greedy forwarding algorithms based on geographic information for MANETs (mobile ad hoc networks) are proposed in recent years. These algorithms have been well-designed from different aspects to improve its performance. On the basis of analysis of these algorithms, this paper presents modified methods to address some issues of GPSR (greedy perimeter stateless routing): dynamically adjusting the time interval of sending beacons according to the radio transmission; not only considering the distance between each neighbor and the destination, but also the neighbor node surviving ratio. Some relevant algorithms are described in the paper as well. The simulation results show the improved routing algorithm excels GPSR markedly in terms of delivery ratio and routing overhead while the transmission range is larger or the motion velocity of nodes is greater.
Research on magnetic signal of cracks in girth weld of ferromagnetic pipeline
Authors: Xu Chao , Liu Yanjun , Zhang Fan , Wu Bing
Published: March 2023

The crack of pipeline girth weld is one of the most common and dangerous defects in girth weld. According to the magnetic dipole theory model, the magnetic signal model of pipeline girth weld cracks is established. By means of numerical simulation, the distribution characteristics of magnetic signals of crack defects in girth welds and the variation rules of magnetic signals of different flaw sizes and lifting heights of girth welds were studied. The simulation results show that the normal component Hy appears zero crossing and changes direction, and the tangential component Hx appears extreme value upward. Finally, the magnetic signal model of crack defects in pipeline girth weld was verified through field engineering test. The actual magnetic induction intensity detected at the flaw of pipeline girth weld was basically consistent with the theoretical calculation results, which verified the accuracy of the model.
Research on Financial Fraud Identification System Based on Differential Privacy
Authors: Shen Sijia , Li Yueling
Published: March 2023

Data sharing among financial institutions is often not possible, resulting in a "data silo" situation. In this paper, we train an efficient financial fraud detection model under the framework of privacy protection from the perspective of facilitating the collaboration of multiple financial institutions to train a fraud identification system. This paper first used traditional oversampling and under sampling methods to balance the data and train models such as logistic regression, support vector machines and random forests, but did not obtain the desired results. In contrast, the optimal subsampling method based on logistic regression performs well in terms of training results and program runtime. To protect data security, differential privacy is introduced on this basis to find the classification accuracy of the model under different privacy budgets. It is concluded that a certain balance between the degree of privacy protection and model effectiveness should be achieved according to privacy requirements.
Research and Improvement of China's Data Exit Supervision Rules
Authors: Ren Yurong
Published: March 2023

With the vigorous development of the digital economy, data security has created new demands on the system. Administrative punishment cases against data security such as the "Didi case" have exposed China's current shortcomings in regulating data export; In the international context, developed countries are trying to establish rules for cross-border data transfers. Under the background of both international and domestic reality, China's data export rules are constantly improving, responding to data security needs internally, and establishing a voice in rules related to cross-border data circulation externally. At present, China's legislation on data export has begun to take shape, and the operability has been significantly enhanced, but there are still legislative shortcomings such as unclear data classification standards.
State estimation and slug flow control of subsea production systems
Authors: Wang Chuan , Zhang Xueliang , Liu Huachuan
Published: March 2023

The simulation and control of the severe slugging flow in the subsea multiphase pipeline is the focus of research in the production and exploitation of oil companies. Severe slug flow results in severe fluctuations of pressure and flow rate at both the wells end and the receiving host processing facilities, causing safety and shutdown risks. To prevent the severe slugging flow regime in multiphase transport pipelines, an ODE model is established by using the mass conservation law for individual phases in the pipeline and the riser sections. Then, the proposed model is compared to the results from the OLGA simulation. A comparative study of different slugging flow control solutions is conducted. Extended Kalman Filter (EKF), Back Propagation Neural Network (BPNN) and EKF&BPNN are used for state estimation and combined with PI controller. The EKF and BPNN are good nonlinear filters. However, when the nominal choke opening is increased, they work unsatisfying. The EKF&BPNN observer shows slightly better results than EKF and BPNN when the system has high input disturbance.
XGB and SHAP credit scoring model based on Bayesian optimization
Authors: Kong Yuting , Wang Yanli , Sun Shibao , Wang Jing
Published: March 2023

In recent years, machine learning technology has achieved fruitful results in many fields. However, in the fields of credit scoring and medical treatment, due to the lack of interpretability of various algorithms, there is a lack of authoritative interpretation when dealing with security-sensitive tasks, resulting in bad decisions made by enterprises. While improving the prediction accuracy of the algorithm model, the interpretability of the algorithm model is enhanced, which is conducive to making optimal decisions. Therefore, it is proposed to use Borderline-SMOTE to balance the data, introduce the influence factor posFac to fine control the random number during the synthesis of new samples, and use Bayesian algorithm to optimize XGBoost. SHAP is used to explain and analyze the prediction results of the optimized XGBoost algorithm model, and the most influential eigenvalue of the output results of the algorithm model and the characteristics of the input eigenvalue of the algorithm model are solved. The experiment improves the prediction accuracy of XGBoost algorithm model and its interpretability, so as to further promote its research and wide application in various fields.
Exploration on Big Data Application Platform of "Industry-education Integration"
Authors: Xia Zhijie , Li Jing
Published: March 2023

In recent years, deepening the industry-education integration has basically become a consensus of education reform in colleges and universities. However, for implementation, the research on the strategy and method of the industry-education integration is still under exploration. The Big Data Application Platform of "Industry-education Integration" researched in this paper applies big data, cloud computing and other IT means to integrate governments, industry, colleges and universities, scientific research institutions enterprise and other elements, thus creating a big data service platform of "interconnection, interaction, integration and reciprocity" and promoting the development of "Internet + Vocational Education".
The reform and exploration of integrating ideological and political elements into Linux curriculum
Authors: Xu Yixuan
Published: March 2023

To integrate "ideological and political education" into professional courses is the internal demand of colleges and universities to deepen curriculum reform and realize full and all-round education. The present situation of Linux course is analyzed, and the existing problems are put forward. Then, combined with the teaching requirements and contents of Linux, the ideological and political elements are mined, and specific typical cases are used to carry out ideological and political education, constantly improving the overall teaching design with ideological and political elements integrated. Moreover, the "student-oriented" should be put into practice, with the learning effect of students as the evaluation standard and the purpose of promoting the development of students. Finally, we should strengthen the proportion of curriculum ideology and politics in teaching assessment and evaluation, and give full play to the leading role of curriculum ideology and politics. In order to achieve the effect of professional courses and ideological and political courses collaborative education.
Naschrift: Samenhang tussen de ziekte van Alzheimer en epilepsie?
Authors: Rouhl Rob
Published: March 2023

In hun bijdrage “Samenhang tussen de ziekte van Alzheimer en epilepsie?” beschrijven Rozeboom en collega’s in het decembernummer van ‘Epilepsie’ (jaargang 21, nummer 4) de mogelijke samenhang vooral vanuit het perspectief van het basaal en dierexperimenteel onderzoek. Vanuit het perspectief van de kliniek is er een duidelijke relatie tussen epilepsie en de ziekte van Alzheimer. Epilepsie komt bij een klein deel van de patiënten met de ziekte van Alzheimer voor en is doorgaans goed te behandelen met anti-epileptica.
A note on the taxonomy and occurrence of broad leaf wild rice (Oryza latifolia: Oryzeae, Poaceae) in Eastern Ghats, India
Authors: Swamy Jetti , Rasingam Ladan , Gayatri Srivani
Published: March 2023

One of the important wild relatives of crops, Oryza latifolia is documented from Eastern Ghats of Telangana. A detailed description with a photo plate is provided to facilitate easy identification.
Video technologies in criminal proceedings of the Russian Federation and foreign countries
Authors: Галиуллина Е.Ю. , Левачева Ю.В.
Published: March 2023

Использование информационных технологий, а именно видеотехнологий, в уголовном судопроизводстве является одним из наиболее перспективных направлений совершенствования организации судопроизводства на современном этапе. История централизованного правового регулирования применения видеотехнологий в уголовном процессе берет свое начало в 1990 году, во времена принятия ООН Руководства для сотрудников системы уголовного правосудия в отношении осуществления Декларации основных принципов правосудия для жертв преступления и злоупотребления властью. Пунктом 55 раздела Е данного руководства указывалось на возможность дачи свидетельских показаний через их видеозапись в режиме реального времени, что фактически стало прообразом видеоконференций. Применение информационных технологий закреплено в нормативно-правовых актах Российской Федерации, то есть в более чем пятидесяти статьях пяти кодексов РФ, а также в международных решениях Европейского суда по правам человека. Зарубежный опыт свидетельствует о положительной практике использования видеотехнологий, в то время как в Российской Федерации широкое и активное использование в судопроизводстве они получили в 2020 году в связи с пандемией коронавируса. В данной статье проведен анализ современного состояния уголовного судопроизводства, обеспечивающего доступ к правосудию в условиях развития цифровых технологий в России, а также ряде зарубежных стран.

The use of information technologies, namely video technologies, in criminal proceedings is one of the most promising areas for improving the organization of legal proceedings at the present stage. The history of centralized legal regulation of the use of video technologies in criminal proceedings dates back to 1990, at the time of the adoption of the UN Guidelines for Criminal Justice System Employees regarding the Implementation of the Declaration of Basic Principles of Justice for Victims of Crime and Abuse of Power. Paragraph 55 of section E of this manual indicated the possibility of giving testimony through their video recording in real time, which in fact became the prototype of videoconferencing. The use of information technologies is enshrined in the normative legal acts of the Russian Federation, that is, in more than fifty articles of five codes of the Russian Federation, as well as in international decisions of the European Court of Human Rights. Foreign experience testifies to the positive practice of using video technologies, while in the Russian Federation they were used actively in court proceedings in 2020 in connection with the coronavirus pandemic. This article analyzes the current state of criminal proceedings providing access to justice in the context of the development of digital technologies in Russia, as well as in a number of foreign countries.
Activities of the investigator when a criminal case is received from the prosecutor for additional investigation
Authors: Муллагалеева Л.Р.
Published: March 2023

В статье рассматриваются вопросы, связанные с реализацией прокурором функции возвращения уголовного дела следователю для производства дополнительного следствия. Анализ положений действующего уголовно-процессуального закона позволил автору проанализировать существующие проблемы при реализации прокурором полномочия по направлению уголовных дел для дополнительного следствия. Доказано, что в требованиях прокурор должен указать конкретные выявленные им недостатки, которые будут устранены следователем в ходе производства дополнительного следствия, так как это позволит в дальнейшем направить уголовное дело в суд для рассмотрения по существу.

The article deals with issues related to the implementation by the prosecutor of the function of returning the criminal case to the investigator for additional investigation. An analysis of the provisions of the current criminal procedure law allowed the author to analyze the existing problems in the exercise by the prosecutor of the authority to refer criminal cases for additional investigation. It has been proved that in the requirements the prosecutor must indicate the specific shortcomings identified by him, which will be eliminated by the investigator in the course of the additional investigation, as this will allow the criminal case to be sent to court in the future for consideration on the merits.
Aggressive influence on banking details as an obstacle to the examination of documents: expert practice
Authors: Пичугин С.А.
Published: March 2023

Автором с критических позиций рассматриваются признаки искусственного старения реквизитов документов, используемые экспертами, специалистами в практике производства экспертиз и исследований по гражданским и уголовным делам. Описываются наиболее типичные признаки искусственного старения, возникающие на таких реквизитах, как печатный текст, рукописные реквизиты, оттиски печатей/штампов, а также признаки искусственного состаривания, возникающие непосредственно на самой бумажной основе документов. Автором обосновываются позиции, связанные с невозможностью решения экспертных вопросов при условии наличия на реквизитах документов признаков искусственного состаривания.

The author critically examines the signs of artificial aging of document details used by experts, specialists in the practice of producing examinations and research in civil and criminal cases. The most typical signs of artificial aging that occur on such details as printed text, handwritten details, seal/stamp impressions, as well as signs of artificial aging that occur directly on the paper basis of documents are described. The author substantiates positions related to the impossibility of resolving expert issues, if there are signs of artificial aging on the details of documents.
A Brief Literature Review of the Impact of COVID-19 on Eating Disorders in Adolescents
Authors: Muchivolu Sreya , Espiridion Eduardo
Published: March 2023

COVID-19 was an unprecedented time for the entire world. As cases rapidly rose globally, the primary focus was on preventing further spread of the virus and taking care of acutely ill patients. Unfortunately, this meant that getting adequate care for other chronic conditions, including eating disorders (EDs), was a lower priority. Adolescents with EDs were a particularly vulnerable population, as their source of social support and normalcy in the form of school and in-person activities was removed with social distancing and lockdowns. The purpose of this paper is to investigate how COVID-19 affected EDs in adolescents, including likelihood of accessing care, rates of hospitalizations, use of telehealth services, and development of co-morbid mental health conditions. This brief review of current research will explore how adolescents with EDs were negatively affected by the pandemic, and future research directions to better understand this topic.
Perspectives of simulation facilitators, course professors and students on factors and outcomes of simulation effectiveness
Authors: Egan Rylan , Lee Charlotte , Bornais Judy , Tyerman Jane , Luctkar-Flude Marian
Published: March 2023

Simulation-based activities (SBAs) research has explored the perceived and actual impact of SBAs on nursing education. The current study compares the perceived efficacy and transferability of nursing simulation to clinical practice from the point of view of simulation facilitators (SFs), course professors (CPs) and students.

A one-time online survey was administered to SFs, CPs and students regarding SBA effectiveness. Quantitative data were analysed using descriptive analysis.

Student participants (especially those in years 2 and 3) perceived simulation to be a poorer (relative to course professors and SFs) reflection of their capabilities and means of developing clinical skills. Participants (including students, CPs and SFs) who reported that simulation group sizes as ideal were better prepared for SBAs, able to engage in clinical roles and to more effectively incorporate feedback. Qualitatively, CPs identified low-quality SBA facilitation as a barrier to learning effectiveness, and SFs described multiple approaches to simulation that influence transferability to clinical practice.

We conclude that a misalignment between the strengths and weaknesses of SBAs by CPs, SFs and students may challenge improvement efforts. Group size, less positive student attitudes and a lack of confidence in SFs should be specifically addressed.
Is Chinese Ready to Accept the "Doubts" in the World? — From the Status of Teaching Chinese as a Foreign Language in Spain and Portugal
Authors: Zhou Hongling
Published: March 2023

In the context of globalization, the international cultural exchanges are becoming more and more frequent, and the cultures between countries collide and trust each other. It is a very normal and common phenomenon for learners to "believe" and "doubt" in the excellent traditional Chinese culture. This paper mainly discusses it from the following aspects. Make a brief overview of the literature review and theoretical achievements at home and abroad, analyze the current situation of Spain and Portugal, and propose the suggestions and countermeasures from practice.