bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Acoustic Recognition of Underwater Targets based on the Principle of Sound Absorption
Authors: Peng Yuchen
Published: April 2023

Due to the concealment of underwater engineering, the detection and monitoring of hydraulic structure construction is often more complicated and difficult than surface engineering. Cofferdam construction inspection and settlement construction quality inspection, especially to ensure the accuracy and efficiency of inspection in complex environments, have become an urgent problem to be solved in underwater engineering quality inspection and monitoring. This project designs an offshore fixed-point monitoring device based on wave energy and piezoelectric effect energy. The invention provides a wave power generation system. The system include simple structure, reliability and stability The fixed-point monitoring device combines the cantilever float device, the gas storage tank device and the piezoelectric ceramic energy supply device to provide the marine monitoring device with energy for automatic water surface monitoring, fixed-point and data collection. Finally, the comprehensive utilization of sea surface wave, compressed gas energy storage and piezoelectric effect energy is realized.
Predicting Nature's Demand for Bees based on Time Series Models
Authors: Lu Chengjie , Wu Yixue , Xu Yufan , Wang Zixuan
Published: April 2023

Bees play a very important role in the entire ecosystem, as their pollination ensures the genetic diversity of ﬂowering plants. Therefore, we need to study the factors inﬂuencing bee population size and its pollination. In this paper, we build a mathematical model and solve it to obtain the inﬂuence of diﬀerent factors on the number of bee populations, and calculate the number of bees required for pollination in a certain space. Finally, we analyze the advantages and disadvantages of the model, as well as some more discussion.
Optimization And Analysis of Furnace Temperature Profile for The Processing Technology of Electronic Components
Authors: Li Shiang
Published: April 2023

The soldering furnace is an important piece of equipment for processing and soldering electronic components in the integrated circuit design process. After the printed circuit boards are mounted with various electronic components, they are placed in the soldering furnace for heating so that the electronic components are automatically soldered to the circuit boards. In this process, the furnace temperature profile, which records temperature data of the electronic components, is an important reference indicator for measuring the effectiveness of electronic component processing. In the context of electronic component soldering, the transfer speed of the furnace and the setting of the temperature in each temperature zone are decisive in ensuring the quality of the component soldering. Based on the Newton's law of cooling and heat equation, this paper establishes several mathematical models to study the effect of the temperature setting of each temperature zone and the transfer speed of the soldering furnace on the furnace temperature profile with the help of multi-objective planning, circular search algorithm and other mathematical methods. Finally, the corresponding conclusions and optimization methods of furnace temperature profile are drawn, which have certain significance for the processing of electronic components.
Evolution of The Policy For The Protection of Intangible Cultural Heritage In Xinjiang
Authors: Xu Tiannuo
Published: April 2023

This paper composes the policy change process of intangible cultural heritage protection in Xinjiang, starting from the real problems faced by Xinjiang, reflecting the policy change process objectively and realistically, proposing a De- ideologization research perspective, and expanding the academic research on intangible cultural heritage in Xinjiang. By compiling the policy changes in the protection of intangible cultural heritage in Xinjiang and sorting out the world-class, national, and autonomous lists of intangible cultural heritage in Xinjiang, this paper draws the following conclusions: First, from a longer historical process, the policy changes in the protection of intangible cultural heritage in Xinjiang can be roughly divided into four stages: the lack of attention before the reform and opening-up period, the initial attention during the early reform and opening-up period, and the gradual attention during the exploration period of the reform and opening-up period. The first stage is the lack of attention before the reform and opening up, the initial attention at the beginning of the reform and opening up, the gradual attention at the exploration period of the reform and opening up, and the high attention at the period of systematic standardization and protection. Second, the intangible cultural heritage protection in Xinjiang is characterized by large regional differences, concentrated in Yili, Kashgar, Tacheng, Bayin, and other regions; the types are mainly folk music and traditional dance.
Classification model of glass relics based on decision tree algorithm
Authors: Xu Zile
Published: April 2023

In order to assist in the compositional analysis and identification of glass artefacts, to clarify the correlations and differences between the individual chemical components, and to achieve the aim of analyzing the patterns of classification of glass artefacts, a classification model was developed in this paper. The data obtained from the chemical components are first processed accordingly, and then a multiple linear regression model is established to investigate the relationship between each chemical component variable and the variable of weathering, and a few chemical components that are significantly affected by weathering are selected as the basis, and a decision tree model based on a particle swarm algorithm is constructed to investigate the classification pattern and subclasses. The final result is that glass products can be classified into high potassium glass types and lead-barium glass types according to whether the chemical composition PbO content is greater than 6.078. The K-Means classification model was also used to classify three subclasses of high-potassium glass products and five subclasses of lead-barium glass products according to the content of the relevant chemical components.
A classification model for ancient glass artefacts based on Fisher discriminant analysis and K-means clustering
Authors: Shi Peng , Long Zongzi
Published: April 2023

Classification is important for the study of ancient glass objects. Accurate identification and classification is important in presenting the cultural origins, heritage, and changes of glass artefacts. In order to accurately classify ancient glass artefacts, this paper first classifies ancient glass artefacts into two categories based on Fisher discriminant analysis, establishes a K-mean clustering model to subdivide the two types of artefacts, and further conducts sensitivity analysis to establish a classification model for ancient glass artefacts.
Fisher's linear discriminant analysis model for inscribing the effect of chemical composition on cultural heritage
Authors: Wang Zihan
Published: April 2023

In this study, the relationship between weathering and glass type, decoration and colour was first analysed using Goodman and Kruskal's tau-y coefficients, and a chi-squared test was performed, which showed that weathering was most influenced by glass type, and was influenced by glass decoration but very little by glass colour. A Fisher linear discriminant analysis model was then established, and the eight chemical components with the greatest correlation to artefact type were calculated using SPSS software under the conditions of the two glass types respectively, and optimised using a grey correlation algorithm with specified thresholds for screening components, resulting in four final elements affecting high potassium glass as potassium oxide, magnesium oxide, iron oxide and copper oxide, and affecting lead and barium types as calcium oxide, aluminium oxide, lead oxide and barium oxide, aluminium oxide, lead oxide, barium oxide and strontium oxide.
Glass component classification model based on decision tree and cluster analysis
Authors: Guo Yunpeng , Tan Zhangkang , Zhang Yujie
Published: April 2023

In order to investigate the classification laws of the two types, three machine learning models (decision tree, SVM) were constructed in this paper, and their classification accuracy was 96%, which met the practical requirements. Subsequently, a K-means algorithm was constructed to classify the subclasses, and the high potassium and lead-barium glasses were divided into three subclasses. By descriptive statistics of the differences between the subclasses, the results showed that there existed a better differentiation of the divided subclasses in terms of multiple chemical compositions as well as ornamentation and color, which verified its reasonableness. By setting a perturbation factor (a normally distributed sequence with a mean of 0 and a standard deviation of 3) to test the sensitivity of the classification results, the model classification results did not change after several repetitions of the experiment and showed good robustness.
Subclass classification of ancient glassware based on K-Means and GMM
Authors: Xu Ke , Chen Yifan , Nie Jiayi
Published: April 2023

This paper focuses on the composition analysis and type identification of ancient glass objects. This paper establishes a judgment model based on the surface characteristics of cultural relics samples, and analyzes the classification laws of high-potassium glass and lead-barium glass; then, the samples of the same category are classified into subclasses according to K-Means method, Gaussian mixture method (GMM) and Mini-Batch K-Means method, and according to each evaluation method, the K-Means method is chosen comprehensively to establish The K-Means method was used to establish a clustering model for glass samples, and the results of subclass classification under each category were obtained. Based on the composition and surface characteristics of the samples, descriptive statistics, scatter plots, S-W test and Pearson correlation coefficient were used to analyze the correlations of chemical compositions among samples of different categories; then, based on the subclass classification made in Problem 2, the differences of the correlations among samples of different categories of artifacts were analyzed using the methods of correlation analysis and difference analysis based on different ranges of data sets.
Research on the influencing factors of public opinion information forwarding behavior of Generation Z group (Next): Mechanism of action
Authors: Ni Yue , Ding Yiheng , Hu Hanxuan , Chu Jiewang
Published: April 2023

With the rapid development of social media, the ways of information dissemination become more and more abundant, the speed of information dissemination becomes faster and faster, and information can be disseminated on a large scale in a very short time. Among them, the public opinion information has the most significant impact. If the public opinion information is not managed and controlled in time, it will pose a great threat to the network environment and even social stability. In this study, by modeling the influencing factors of public opinion information forwarding behavior of Generation Z group, the structural equation model was established to clarify the horizontal correlation among the influencing factors, and then the FISM method was used to find out the hierarchical relationship among the influencing factors, so as to deepen the overall cognition of public opinion information forwarding behavior of Generation Z group. The research shows that information utility is the most important factor affecting public opinion information forwarding behavior of Generation Z. Conformity psychology, altruistic motivation, self-promotion motivation, audience knowledge and information emotion are the middle-level influencing factors; Audience experience, audience relationship, information narrative mode, information text characteristics and crisis situation are the most direct and superficial influencing factors of Z generation group public opinion information forwarding behavior.
Research on bearing-only positioning and dynamic adjustment of UAV based on azimuth angle
Authors: Chen Jiapei , Hu Yanxin
Published: April 2023

With the development of UAV application technology, multi-UAV cooperative operation has been applied to all walks of life, and the application of UAV bearing-only passive location technology also has an important impact. Based on the experimental data provided by the 2022 National College Students' Mathematical Contest in Modeling, this paper locates and adjusts the UAV with slight deviation on the circumference through the azimuth information. By using the geometric relationship between UAVs and the loop algorithm to define the small step size and distance threshold, the micro-dynamic adjustment model is established. Firstly, two UAVs, No.00 and No.01, are selected as the UAVs transmitting information on the center and circumference of the circle, respectively, to locate and adjust the adjacent UAVs. After that, an adjusted UAV adjacent to the UAV to be adjusted is added as the information UAV. At each time, the No.00 and No.01 and an adjusted UAV adjacent to the UAV to be adjusted are selected as the launch information UAV. The radial distance is adjusted first and then the circumferential distance is adjusted, and the positioning information is known in real time according to the direction angle. In this way, the UAV on the circumference is uniformly distributed on the circumference, and finally reaches the ideal position.
Component Analysis and Classification Model of Ancient Glassware Based on K-means Clustering and Random Forest
Authors: Yang Jian , Wang Zelin , Gao Song
Published: April 2023

The analysis and identification of the composition of ancient glass objects has important application and practical significance to the world of archaeology. In this study, after classifying the artifacts according to their types, the corresponding classification models were analyzed and constructed. Using the analysis of classification laws, for each category to select the appropriate chemical components for subclassification, the K-means cluster analysis model was established, and then secondary components were added to the model to select the appropriate model to achieve clustering. Analysis of the clustering results to achieve subclasses, the glass artifacts into three categories: high lead and high barium artifacts, transitional artifacts, high silicon and high potassium artifacts. The classification results were analyzed for reasonableness, and sensitivity analysis was conducted using the OAT method, which showed that the sensitivity of the classification results was high and the chemical composition had good anti-disturbance ability within 10%. A random forest model was also established to determine the category to which the artifacts belonged based on the known chemical composition.
The development of wireless charging technology in the electric vehicle
Authors: Guo Jianglin , He Jingbo , Zhang Yang
Published: April 2023

Greenhouse gas emissions have caused the global climate to deteriorate, and the consumption of oil resources is becoming less cost-effective. Electric vehicles (EVs) are a good way to reduce this negative impact. However, the energy density of batteries is too low compared with oil, so electric cars need to be recharged repeatedly. This paper provides a comprehensive review of all the wireless charging technologies for EVs. The technology principle of Inductively Coupled Power Transfer (ICPT), Magnetically Coupled Resonant Wireless Power Transfer (MCR-WPT) and Microwave Power Transfer (MPT) are discussed by a comparative analysis between the three technologies. The analysis found that MCR-WPT is the best technology because it has high efficiency and very little radiation. After that, wireless charging is expounded from both static and dynamic perspectives. Next, different national requirements and standards for wireless charging are presented. According to the economic and safety analysis, it is found that wireless charging technology can avoid many security risks, reduce the occupied area and has a longer service life than wired charging.
Electrification of Transport: Advantages and Prospects
Authors: Zou Baichuan
Published: April 2023

Electrification has become the main mode of new energy transportation. This paper compared electric vehicles with internal combustion and hydrogen fuel cell vehicles. Less environmental pollution, higher efficiency of power system, and lower cost were the most favourable attributes of electric vehicles. In addition, comparing Li-ion and other batteries, the greatest energy density, the lowest self-discharge rate, and the longest cycle life made Li-ion the most suitable choice for electric vehicles. However, the Li-ion battery in electric vehicles still has some limitations. The 400 km driving range limits electric vehicles in urban and developed areas. It also made traditional fossil fuel vehicles the best choice for people with long-range travel needs. Under low temperatures, the capacity decline and polarization effects of Li-ion batteries made electric vehicles unable to meet the needs of use in extreme environments. A higher energy density and a wider range of working temperatures are needed to advance further in transportation.
Building energy consumption prediction based on VMD-CNN-BILSTM-Attention
Authors: Liu Ruoheng , Huang Le , Yuan Chenfu
Published: April 2023

Accurate building energy consumption prediction can help buildings optimize energy allocation and save energy. To achieve accurate and reliable building energy consumption prediction, this paper proposes a building energy consumption prediction method based on VMD decomposition and noise reduction, i.e., CNN-BILSTM-Attention hybrid prediction. In this paper, we first use the VMD method to decompose the historical energy consumption series to obtain relatively smooth multiple components, which lays the foundation for accurate prediction. Then we combine Convolutional Neural Network (CNN) and Bi-directional Long and Short Term Memory (BILSTM) network to fully extract the Spatio-temporal characteristics of energy consumption data and then introduce the Attention mechanism to automatically assign corresponding weights to the BILSTM hidden layer states to distinguish the importance of different influencing factors on energy consumption and improve the prediction accuracy. To verify the effectiveness of the model, the most later analyzed with real building energy consumption data of a region, and the prediction results were shown by python, and the prediction results were improved by 40% compared with the traditional machine learning algorithm.
Genetic RRT: Asymptotically Optimal Sampling-based Path Planning via Optimization of Genetic Algorithm
Authors: Wang Xiyuan
Published: April 2023

As one of the most frequently used stochastic planners, Rapidly-exploring random trees (RRT) is commonly applied to the path-planning problem in the continuous state space. For single-query problems, RRTs demonstrate nice properties in computation speed and universality. However, the probabilistically complete results of the planning problems hinder their further use. To date, some heuristic-biased sampling searches like hRRT and Informed RRT* addressed the optimality problem of RRTs in the path-planning. However, using the heuristic subsets to bias sampling improved the performance of the algorithms while eliminating the probability of finding other equal optimal solutions simultaneously. To minimize the cost of solutions in the path-planning problems, this paper presents a novel method to focus on the optimization of paths planned by RRTs in terms of the genetic algorithm. The demonstrated planning technique’s advantages can be seen with a new algorithm, Genetic RRT, which retains the multi-results nature and the same effectiveness toward high-dimension path-planning problems as RRTs while significantly increasing the probability of finding an asymptotically optimal path via optimization of genetic algorithm, as the number of iterations increases.
Current Status of Jet Engines and Their future
Authors: Liu Hangyu
Published: April 2023

Jet engines have important application value and status in the aerospace field, which directly affects the development of aircraft and spacecraft. This year, jet engines have gradually become the focus and hotspot of scholars at home and abroad. Through the method of literature comparison and analysis, this paper focuses on analysing two common jet engines, namely turbofan engine and pulse jet engine, and makes a detailed analysis and comparison of their working principles and applications; for the future development of parts, three-dimensional (3D) printing technology as an example, the use of different kinds of 3D printing, electron beam melting and selective laser melting to print jet engine parts and how to reduce errors is studied, and various techniques for improving high temperature parts are analysed., and looked forward to the future development trend of jet engines and put forward their own views. The research work in this paper will promote the development of jet engine and provide reference for engineers and technicians.
Modeling and Simulation for a Five DOF Robotic Arm Manipulator
Authors: He Han
Published: April 2023

Nowadays, service robots are used in a large number of applications in the service industry. With the booming service industry in third world countries, service robots are expected to be used in a wider range of applications, so it is of great importance to conduct research on service robots. This paper develops the model of a kinematic models for a 5 DOF robotic arm that used in service industry in SolidWorks. The robotic arm’s mathematical model is predicated on Denavit-Hartemberg (DH) method, which determine the robot joints angle vector. The procedure aims at describing the forward and inverse kinematic analysis, and finally determine the end effector’s position and orientation through the corresponding joints angle related to the coordinate system (CS), in order to control the robotic arm to reach the designated location in space. A simulation model of the robotic arm was built using the Matlab Robotics Toolbox to verify the correctness of forward and inverse kinematics, which also can simplify the calculation and analysis.
Human Following Based on Visual Perception in the Context of Warehouse Logistics
Authors: Liu Yanbaihui , Wang Haibo , Jia Dongming
Published: April 2023

Warehousing and logistics robots, which have benefited from the development of 5G, the internet, artificial intelligence, and robot technology, are commonly used to assist warehouse personnel in picking up or delivering heavy goods at dispersed locations along dynamic routes. However, traditional programs that can only accept instructions or be preset by the system lack flexibility and existing human auto-following techniques either have difficulty accurately identifying specific targets or rely on a combination of lasers and cameras that are cumbersome and not effective at obstacle avoidance. This paper presents an algorithm that combines DeepSort and a width-based tracking module to track targets and uses artificial potential field local path planning to avoid obstacles. The algorithm is evaluated in a self-designed flat bounded test field and simulated in ROS, and is found to achieve state-of-the-art results in following and successfully reaching the end-point without hitting obstacles.
Parametric stiffness modeling of a variable cross-section link for a collaborative robot
Authors: Du Tianye , Li Mu
Published: April 2023

This paper describes how a parametric stiffness model of the variable cross-section link of a collaborative robot is obtained. The variable cross-section link module is divided into three parts: the front connection part, the rear connection part, and the main part. The static condensation method is used to model the stiffness of the connecting parts. The parametric stiffness modeling of the main part is carried out using the structural mechanics method. The stiffness models of the three parts are integrated into the parametric stiffness model of the entire link. The parametric stiffness model of the variable cross-section link is related to the structural dimensions of the link. The elastic deformation errors in all directions obtained from the stiffness model are within 5%. The method establishes the mapping relationship between the link’s structural dimensions and its stiffness model. Based on this, the structural optimization of a collaborative robot based on parametric stiffness model is made possible.
Studies on the smoke dispersion when tear gas grenades exploded in different spaces
Authors: Niu Binguang
Published: April 2023

Tear gas is a widespread non-lethal weapon, but there is very little research on its non-lethal effectiveness at different scales of space, environment, and wind speed, which leads to no scientific guidance on the number of tear gas canisters to be used in practical applications. The effect of tear gas smoke released in different space sizes, environmental conditions, and obstacles was studied in this paper using fluent software. The results show that different spaces, media, and obstacles have different effects on smoke diffusion. Tear gas canisters in different spaces show that both are spread outward in the form of point sources. The smoke spreads outward on sunny days and spreads at a higher height on cloudy days. It has a particular guiding significance for tear gas canisters in practical applications.
Performance of LIBs with Nanostructured Silicon as Anode Materials
Authors: Lan Jiaqi
Published: April 2023

With the development of electronic equipment and new energy transportation vehicles, the demand for lithium-ion batteries (LIBs) is increasing, and LIBs with better performance are also required. Due to its theoretically higher energy density compared to other battery anode materials, silicon is emerging as a possible anode material for LIBs. Researchers have created various nanostructures such as SiNWs and SiNTs to address the issue of the silicon-based anode expanding when alloyed with lithium-ion, which has led to significant advancements in the power storage capacity and cycle life of LIBs. The performance of LIBs can also be enhanced by the combination of various materials. This paper reviews the impacts of various silicon-based anode nanostructures on LIBs performance, including and introduces the effects of combining various materials in silicon-based anode on LIBs performance. Specifically, the structures, properties and synthetic routes of SiNPs, SiNWs and SiNTs as well as their applications in LIB anode materials are presented. Furthermore, optimization strategies of doping with heteroatoms are also analyzed and discussed.
Sensing Mechanisms of Flexible Pressure Sensors
Authors: Su Yuetong
Published: April 2023

In the first segment of this project, the merits of the flexible capacitive pressure sensor will be described. These benefits encompass lower power consumption, less signal drift, greater response repeatability, and others. However, as ductile materials are incompressible, the device's sensitivity won't be very good without adopting structures. The purpose and advantages of the resistance flexible pressure sensor will then be discussed, as well as its high nonlinearity and the metal-based strain effect of the resistance strain gauge, which results in mechanical deformation when an external force is applied and results in a corresponding change in resistance value. However, the output signal is weak because of the environment and time zone variations. The design and operation of the sensor will change. It is not appropriate for long-term monitoring due to its significant time and temperature drift and the potential that correct data may not be acquired after extended measurement. Additionally, it is sensitive to electromagnetic fields, vibration, radiation, air pressure, sound pressure, and air velocity. In the last part, the benefits of the flexible piezoelectric pressure sensor will be discussed, including its broad frequency range, high sensitivity, high signal-to-noise ratio, simple structure, dependable operation, and light weight. The disadvantage of piezoelectric sensors is that some of these materials have poor output direct current responsiveness and call for moisture protection, which calls for the usage of charge amplifiers or high input impedance circuits to address this shortcoming.
Study on Evaluation Model of Armored Vehicle Driving Training Based on Typical Tasks
Authors: Li Xinyang , Yao Yi , Wang Guoning
Published: April 2023

The results of armored vehicle driving training are affected by many factors. In order to evaluate the driving level of drivers more comprehensively and accurately, this paper comprehensively considers many factors and carries out research on the evaluation of driver driving training. By comparing and analyzing various evaluation methods, the appropriate evaluation method is selected according to the characteristics of driving training evaluation. Then the single evaluation index is determined and the evaluation index system of driving training is established. The evaluation model of driving training is established according to the characteristics of evaluation index.
Analysis of response strategies for triple La Niña events based on fuzzy evaluation algorithm
Authors: Qian Jiaying , Yi Xuhui , Xie Siyang
Published: April 2023

The climate anomalies caused by La Niña events have caused some economic losses and human casualties in several regions around the world. In this paper, we first visualize and analyze the climate data of four representative countries to obtain the impact of La Niña on different countries. Then a BP neural network model is built to predict the probability of La Niña events in different regions. Finally, taking six different provinces in southern China as examples, an indicator system is established, a fuzzy comprehensive evaluation algorithm is used to summarize the impacts of different regions and indicators under a La Niña event, and practical response strategies are proposed.
A brief analysis of the method of VR games to enhance immersion---- taking the game "Mind Concretization Company" as an example
Authors: Li Jiaxu , Wu Han , Zhang Bohan
Published: April 2023

Virtual reality technology has been used in many fields recently, including video game. Its unique features make it an ideal platform for immersive games. However, can’t achieve complicate operation and frequent interruption are two major problems that block PC or host game players to try on VR games. To find new solutions, we design the game “Mental concretization service center”, to increase the sense of immersion and attract more players. In contrast to other pure puzzle-solving games or exploring games, our project focus more on the plot, aiming to create an emotional bond between players and protagonist and guide players to reach their own ends. For each level, the scenes are accord with character’s personality and will change its styles to match the plot or contribute to puzzles. Moreover, we used multiple senses such as environmental sound to inspire players figuring out the puzzle, forcing them pay more attention which thus led to immersion. With the help of game engine, we built our first version and tested it in a small scale. The result was encouraging, showing that our methods had some preliminary effects on improving immersion.
Countering Toxicity in Online Competitive Games
Authors: Chou DeYou
Published: April 2023

Toxicity within online games has been a huge topic that players have expressed concern with. It is an unhealthy situation that will affect players’ emotions and playing experience. This paper will, firstly, dive into the definition of toxicity to make clear of what kind of behaviors are considered toxic. Secondly, the different types of toxicity will be introduced, of which the definition and level of impact on players will be examined. With the types being established, case study research with popular first-person shooter game Overwatch will be conducted to grasp the pattern and impact of toxic actions in game. The research has conducted observations while participating game matches to record all instances of toxicity and searched for online forum posts that discuss about toxicity to gather public opinion of said subject. Last but not least, the currently implemented counteracting methods against toxicity will be discussed while sharing the possibility of future improvement of such methods. With this paper, the problem of toxicity in online games will be shed light on and emphasized to raise more attention from players, researchers, and even game developers, therefore making the community clean and positive for gamers.
Analysis on Feasible Methods of Digital Image Tampering Detection
Authors: Wei Wang , Bin Tang
Published: April 2023

In order to solve the problem of image tampering detection in the blind forensics of digital images, this study first researches and summarizes the means and methods of image tampering and forgery, and provides suggestions for methods of tampering detection using open source tools for the methods that may be used for falsification. These methods have been publicly tested by open source companies for a long time, which proves their feasibility. The methods and conclusions suggested by the research can be used in the "falsification" application of pictures in many fields, and have certain academic value and social value.
Spatial and Temporal Evolution of Urban Patterns in the China Greater Bay Area Based on Remote Sensing of Nighttime Lights
Authors: Hu Linyuheng , Pan Xinzhi
Published: April 2023

With the advancement of urbanization in China, the rapid expansion of cities has reduced the alternative land use and intensified the conflict between people and land, and the adaptation and optimization of urban spatial patterns have become an important work in current urban research. Based on the comprehensive modified the long-term series DMSP-OLS and NPP-VIIRS nighttime lighting data, the spatial analysis method of GIS and urban expansion indicators are used to reveal the spatial and temporal change process of urban built-up areas in the center of gravity of Guangdong-Hong Kong-Macao Greater Bay Area from 1992 to 2020. The results reveal that the built-up area of the urban agglomerations in the study area generally shows an increasing trend year by year, but there are some periods when the area decreases or remains unchanged, while the expansion rate shows a gradual decrease over a long time scale. The compactness of the urban agglomerations in the GBA decreases over time, and the fractal dimension fluctuates but remains unchanged, while the spatial distribution of the urban agglomerations in the GBA shows a "southwest-northeast" direction during 1992-2020, with the center of gravity moving to the northeast gradually. On the side, the urban expansion shows a fluctuation of "diffusion-coalescence-diffusion". The expansion of urban built-up areas is influenced by both natural and socio-economic factors, and the degree of influence varies in different periods.
Preface: 2nd International Conference on Biotechnology, Life Science and Medical Engineering (BLSME 2023)
Authors: Zhang Qi , Bronte Sharon
Published: April 2023

This conference proceedings volume contains the written versions of the contributions presented during the 2023 2nd International Conference on Biotechnology, Life Science and Medical Engineering (BLSME 2023), it had been held in Jeju, South Korea on March 11-12, 2023. This conference is the premier forum for the presentation of new advances and research results in the fields of biotechnology, bioengineering, biochemistry, preclinical medicine, clinical medicine, pharmacology, life science, medical engineering, and medicine technology.

The conference provided a forum for discussion and sharing between lecturers, researchers, academics, practitioners, communities, and specialists, from universities, research institutes, corporations, industries, the government, and the public. The conference has been a great opportunity for participants coming from many countries to present and discuss topics in their respective research areas.

BLSME 2023 conference included 4 plenary sessions and invited speakers, and oral and poster presentations to allow as many as possible attendances to present their scientific results on the different fields. The manuscripts which have presented were published under the peer-reviewed process.

We would love to express our gratitude for all the participants, keynote speakers, and guests of honor, for their effective contribution in our conference. Our ongoing thankfulness is presented for our guest editors and speakers. Finally, we would love to express our gratefulness for all our sponsors, partners, and colleagues, we hope to collaborate with them in future activities.

Chairman of Conference Committee

Jeju, South Korea
Biosensors For Cancer Diagnosis Based on Quantum Dots
Authors: Huang Jiale
Published: April 2023

Cancer, one of the most dangerous illnesses threatening people’s lives, caused nearly 2.4 million death last year in China. Effective and timely detection is the key to relieving and even successfully treating this disease. In order to realize the aim of early and sensitive diagnosis, multiple nanomaterials have been used, including the rising materials in recent years, quantum dots. Compared with other materials, quantum dots (QDs) have various advantages, like cheap fabrication expense, great fluorescent behavior, high sensitivity to targeted cells or related markers, versatile recognizing strategies, no toxicity and low detection limits. These properties enable this material to become the popular choice for biosensors. In this review, two main streams were chosen in the quantum dots-based biosensors: graphene quantum dots (GQDs) based biosensors and carbon quantum dots (CQDs) based biosensors. The character of each kind of quantum dot was reported and the recent development of these two nanomaterials was introduced, including their synthesis and application of optical and chemical analysis. Therefore, this report can offer great value to the research in the field of quantum dots-based biosensors, which will be used for cancer diagnosis in the future.
Wearable Haptic Feedback System and Interfaces
Authors: Zhou Zhiyan
Published: April 2023

Haptic devices could be used in a variety of fields. This study depicted the leading design and prototyping steps of some wearable haptic devices and interfaces in different areas. The study first introduced the handed-worn haptic device. Next, the study pointed out the vested worn haptic devices. Finally, it presented the devices by foot wearing. As well as a variety of wearable device application technology, the main design opens new possibilities for future devices. Different materials are used for various types of equipment and principles, which could improve the device's performance. Ideally, wearable haptic devices have a multifunctional impact that can ease the users' body burden and the putting on and taking off process. By analyzing the advantages and disadvantages of various wearable devices, a few points still need to be improved. With the enormous probe of empowerment of wearable technology and interfaces in industries, intelligent wearable haptic will be applied in more fields. And make human life more convenient and efficient.
Analysis Of Preventive Measures for West Nile Virus
Authors: Hu Zixiao
Published: April 2023

The article explores the preventive measures for West Nile disease, starting with the origin of West Nile virus, first introducing the main processes of vaccine development, describing the two main types of vaccines: equine and human vaccines, citing research data showing the success of equine vaccine development, exposing the progress of human vaccine research, the possible problems, to whether there are studies confirming the breakthrough of this problem. The examples of two live attenuated vaccines are used to show the progress of vaccine development at this stage, and the problems and possible solutions to the vaccine are analyzed in light of its cost-effectiveness. Other preventive measures that are available to achieve the preventive effect are further analyzed, which are divided into two categories, the first being regional level protective measures by interfering with the transmission route, and the second being individual level protective measures by reducing contact with the source of transmission. The study data confirmed the need to maintain and strengthen bird monitoring programs, and ranked regional and personal precautions, analyzing the problems with regional precautions and the need for problem-specific ranking.
Disease Mechanism and Treatment Method of Ebola Virus
Authors: Liu Shuyan
Published: April 2023

Ebola virus is a virus with simple structure, but it can assemble itself in the host and cause a chain reaction of washing in the process of disease causing, leading to more serious pathological damage in the body. Its main clinical characteristic is fever, bleeding, and diarrhea and has a high fatality rate, as well as endangering people's physical and mental health. Since Ebola virus was discovered in 1976, the virus has been in periodic outbreaks in Africa, and has also spread to countries and regions outside the African continent. The World Health Organization has twice listed Ebola as a public health emergency of international concern. In view of the huge challenges faced, the search for effective treatment methods and the research and development of preventive vaccines have become one of the problems that the medical community urgently needs to overcome. Antibody drugs also play an important role to prevent the spread of Ebola virus, improving patient protection rate and other aspects, making people see the hope of curing Ebola virus. So far, the American Food and Drug Administration (FDA) have approved REGN-EB3 and mAb114 as medicinal products for Ebola Virus therapy. This article reviews the risk factors, pathogenesis, clinical characteristics and treatment progress of Ebola virus, to provide a theoretical basis for the prevention and treatment of the virus.
The Applications of Nanomaterials in Phototherapy Against Cancer
Authors: Zhu Lin
Published: April 2023

Since nowadays cancers have caused a high death rate among human, it is quite important to find some new therapies against cancer. Phototherapy is a promising therapy against the cancer due to its better effect than other traditional methods, but still needs some improvements. With the combinations of the nanomaterials, some of the disadvantages of phototherapy have been solved, because of the properties of nanomaterials such as low toxicity, good biocompatibility, high selectivity and so on. However, some shortcomings still exist. This paper will be first divided into two parts to introduce the applications of nanomaterials in photothermal therapy (PTT) and photodynamic therapy (PDT) and their current problems and solutions, respectively. Then the effects brought by the cooperation of PTT and PDT are mentioned. The final part is about the directions of future developments of them. With the development of the nanotechnology, the nanomaterials can overcome more and more weaknesses in the phototherapy and get better effects.
The Impacts Of COVID-19 Pandemic on Greenhouse Gas Emissions and Climate Change
Authors: Zhang Zetong
Published: April 2023

The outbreak of COVID-19 in 2020 has brought enormous damage to human life and health and socioeconomic development. Yet, the influence of COVID-19 outbreak on the environment within the context of global warming has not been fully understood. Detailed and accurate explanation for the relationship between COVID-19 and economy, carbon emissions, and methane emissions remains a challenge. This study aims to highlight the significant impact of the COVID-19 pandemic on greenhouse gas emissions and climate change through a systematic literature review and comprehensive analysis of data from the U.S., China, Canada, and 27 European countries. To clarify the impact of COVID-19 on climate, the study outlines changes in carbon dioxide emissions by comparing data from pre-pandemic, during-pandemic, and post-pandemic (projected) scenarios. The correlation among carbon dioxide, temperature, GDP, and Population in countries is further examined with different levels of development using Pearson's Linear Correlation analysis and significance test. This study will potentially provide insights into future preparation and management of the impact of global emergency disaster emergencies.
A Molecular Phylogeny of Cavernicolous Oniscidea (Isopoda) Reveals Multiple Origins of Troglodytic Behavior (Oniscidea, Isopoda)
Authors: Guan Bob , Wang Dan , He ZhuQing
Published: April 2023

We infer the relationship of Oniscidea by utilizing two genetic markers, COI and 16S, and build a topology using the Maximum Likelihood method. We found that troglobitic behavior to have arisen multiple times independently, and the genera Spherillo and Burmoniscus to be in need of revision.
Expression Of Hippo-YAP Signaling Pathway in Gynecological Tumors
Authors: Mo Yunxiang
Published: April 2023

Ovarian cancer, breast cancer and cervical cancer are common female malignant tumors. YAP signal is widely activated in human malignant tumors. Hippo-YAP signal pathway affects the proliferation and development of tumors. However, the transmission mechanism of YAP signal in gynecological malignant tumors is still unclear. The function of YAP in the Hippo signal route is examined in this research, along with its functions upstream, middle, and downstream of the Hippo signal route. In addition, the mRNA expression data of YAP in ovarian serous cystadenocarcinoma and normal ovarian tissue is compared. The expression of YAP in breast invasive carcinoma (BRCA) is observed by IHC, and the YAP intensity of cytoplasm and nucleus is evaluated. Through the relationship between YAP and HPV, to further investigate the mechanism of YAP in cervical cancer, the distribution of YAP1 in cells adhering to the cervical surface was studied. These findings are critical in the treatment of YAP as a potential therapeutic target. Furthermore, understanding the role of YAP in female malignant tumors provide an insight in developing drugs that block the activity of YAP or inhibit the activation of YAP, they can play an anti-tumor role in vivo.
Immune System Mechanism and Vaccination of SARS-Cov-2
Authors: Chan Yukyu , Hua Yihan
Published: April 2023

The earliest coronaviruses were discovered in the 1960s and were named for the coronal spike-like protein located on the surface of the virus. SARS-CoV-2 disease rapidly had a profound impact worldwide, resulting in millions of infections and deaths. High transmission rates and high mortality rates have plunged many countries into crisis, mainly in medical and economic terms. Innate immunity also plays a central role in the fight against COVID-19 virus, which includes T lymphocytes, B lymphocytes and other types of immune cells. However, the SARS-CoV-2 virus appears to be new to the human immune system and often causes fatal complications and symptoms that are beyond the reach of natural human immunity. In the early stages, doctors tried treatment with antiviral drugs, as well as immunomodulators, using steroids and different kinds of cytokine blockers, which seemed promising, but it was still not effective in curing COVID-19 or curbing the infection rate. When a vaccine is established, the global pandemic will cease, which will greatly reduce mortality and prevent serious complications in patients. Various forms of vaccine development have strengthened the control of global COVID-19 infection, but challenges and barriers to containment of SARS-CoV-2 remain.