bluuebunny/crossref_metadata_2025 huggingface dataset:
State-of-the-art Bipolar Plate Flow Field Structures for Proton Exchange Membrane Fuel Cell
Authors: Zhao Hanqing
Published: April 2023

Recently, proton exchange membrane fuel cell (PEMFC) has been gaining attention as an environmentally friendly solution for powering renewable energy vehicles. PEMFC is composed of several key components, one of which is the bipolar plate (BPP). The BPP is a crucial component that performs several functions in the PEMFC, including: supporting the membrane electrode assembly (MEA), providing fluid channels for H2, O2, and coolant, isolating H2 and O2 to prevent direct contact, collecting electrons, and transporting heat. Additionally, BPP are often made of corrosion-resistant materials, such as stainless steel, to improve the durability and longevity of the PEMFC. With the increasing demand for renewable energy vehicles, research and development in the BPP is becoming more important to make PEMFC more efficient and cost-effective. The performance of the BPP will be significantly impacted by the design of the flow field (FF) structure of the bipolar plate and the various operating circumstances of the PEMFC. Combined with the design patents and related literature based on the BPP’s FF in recent years, several traditional FF and new FF structure schemes are summarized, and the related research results of FCs based on different FF structure schemes are summarized.
Research Status of Lithium Oxygen Battery and Its Components
Authors: Wei Jinting
Published: April 2023

Before the large-scale use of electric energy, fossil energy has been the main energy supply. The phenomenon of pollution and lack of supply caused by excessive consumption of fossil energy is becoming increasingly obvious. With the continuous consumption of fossil energy, electric energy is regarded as the replacement object of fossil energy. The task of storing electricity requires the support of batteries. In recent years, the battery industry has developed rapidly, including a battery with a high energy density. One of the materials needed for the reaction can be directly obtained from the air; This is a lithium-oxygen (Li-O2) battery. Since its invention, the battery has opened a new way of energy storage for people. This paper will briefly introduce the design concept, reaction principle, selection, and improvement of each part of the Li-O2 battery including anode, cathode and electrolyte. This paper provides a basic understanding of lithium oxygen battery.
Comprehensive Analysis of Braking Energy Recovery System for New Energy Vehicle
Authors: Guo Jinghan , Zhou Jinqing
Published: April 2023

The braking performance of a vehicle not only has a direct impact on the safety of the vehicle, but is also closely related to the comfort of the driver and passengers. As the amount of new energy vehicles (NEVs) constantly rising, more and more people are choosing new energy vehicles as a way to get around, and as a direct factor in determining the braking capability of a vehicle, the design of the braking system of a modern NEV is crucial. In normal operation, braking energy recovery (BER) is the biggest advantage of NEVs that distinguishes them from conventional vehicles. As an essential way to save energy in electric vehicles (EVs), this technology uses the motor to recover part of the energy from braking, which can effectively enhance energy utilization and the driving mileage of the vehicle.
Survey of the Current Status of Integrated PV System
Authors: Yu Jianan
Published: April 2023

This paper briefly introduces the integrated condition of PV integrated systems. The principles and characteristics of two significant forms of PV-integrated systems (distributed PV-integrated systems and large-scale centralized PV-integrated systems) are described in detail. Analyzed are the following issues brought on by the two PV-integrated systems linked to the grid: issues with power quality (harmonics, frequency, voltage amplitude), the islanding effect problem, the problems of reliability and stability of the PV-integrated system, etc. Feasible countermeasures are put forward for the above problems. Inadequate and possible improvements to existing technology are mentioned in this paper. The major causes of each sort of issue brought on by PV-integrated power production systems connected to the electrical grid, the state of domestic and international research, and the solutions are all reviewed. The future trend of large-scale industrial application of PV power generation technology has been prospected.
Advances and Challenges When Commercializing Perovskite Solar Cells
Authors: Wang Yijie
Published: April 2023

Currently, the perovskite solar cells efficiency exceeds 20% at a rate of improvement that is unprecedented. This technique is indeed very promising because it is compatible with inexpensive solution processing. To be commercially viable, a thin-film solar device must pass the International Electrotechnical Commission (IEC) testing standards for environmental stability. Commercialization of perovskite solar cells is now restricted by lack of stability. The primary cause of this issue is the perovskite layer instability when exposed to moisture, light, and thermal variables. Nonetheless, it is crucial to investigate stability issues within device's layers and interfaces. Due to the interdependent relationships between the layers, including the charge transport layer, and electrodes, it is necessary to approach the device as a whole system in order to address the stability challenges described in this article. Future study should concentrate on strengthening the perovskite’s intrinsic stability, engineering the device shape, and identifying durable encapsulation materials that resolve extrinsic instability and seal the device against moisture for perovskite solar cells to reach the requisite stability.
Improvement of Lithium Battery Anode by Three Kinds of Nanomaterials
Authors: Leng Jiaheng
Published: April 2023

In today's world energy structure, the majority of the energy utilized by humans comes from fossil energy including coal, natural gas and oil. According to the current international energy forecast, oil resources will be exhausted in 40 years, natural gas resources will be used up in 60 years, and coal resources can only be used for 220 years. Therefore, people began to vigorously develop electric vehicles, in which battery is the first problem to be solved .In order to improve the performance of lithium battery, nano-materials are used as anode. Including graphene strengthening structure, improving electrochemical characteristics, carbon nanotubes improving silicon lithium batteries, and silicon nanowires improving lithium content of lithium batteries. Studying the improvement of nano-materials on the anode of lithium batteries can improve the current performance of lithium batteries, break through the current theoretical bottleneck, and provide theoretical support for the optimization of the world's energy structure,,and provide a feasible direction for improving the cycle stability, safety and other related electrochemical characteristics of lithium batteries.
Application of Nano-Carbon Materials in Battery Electrode
Authors: Pan Fangzhou
Published: April 2023

As it is the trend is for new energy sources to replace old fossil fuels, people begin to choose new energy instead fossil energy, and fossil energy is widely used in household mobility scooters. One of the most obvious signs of this is the entry of different new energy vehicles into the public eye. However, the range of new energy vehicles is still not as good as that of traditional cars. Many studies have begun to focus on improving the batteries of new energy vehicles. Some batteries in the traditional sense, such as lead-acid batteries, and ordinary lithium batteries are unable to achieve the capacity needed on a daily basis. Recent research has shown that carbon nanomaterial batteries have performance that far exceeds that of conventional battery materials. This paper summarises the application of new materials-carbon nanomaterials in battery electrodes. Because of the many advantages of nanomaterials, such as good electrical conductivity, good expansion resistance, good ion storage ability and so on, the application of four common carbon nanomaterials in electric vehicle battery electrodes was discussed.
Preface: 2nd International Conference on Software, Data Processing and Information Technology (SDPIT 2023)
Authors: Liu Huajun , Sonmerfield Ingrid
Published: April 2023

The 2023 2nd International Conference on Software, Data Processing and Information Technology (SDPIT 2023) is a leading conference held at Shenyang, China from February 18-19, 2023. It encourages communication and collaboration, hoping to provide an international platform for its participants to present, share, and learn the latest advance and development of software engineering, data processing, cloud computation, mathematical modeling and information technology.

Academics, researchers, and students from across the world are all welcomed to exchange findings and ideas, to draw further inspirations in these research fields. It's a great opportunity to deepen your understanding in the related topics. Everyone interested in these fields were welcomed to join the online conference on our channel and to give comments and raise questions to the speeches and presentations. We are hoping we could see each other again next year.

Each submission to SDPIT 2023 was reviewed by at least two program committee members. We would like to thank the program committee members and external reviewers for their hard work in reviewing and selecting papers. Hopefully, all participants and other interested readers can benefit scientifically from the proceedings and find it rewarding in the process.

Chairman of Conference Committee

Shenyang, China
Flexible Capacitive Pressure Sensors and Approaches to Enhance Sensitivity
Authors: Song Chenyu
Published: April 2023

Many research groups have become interested in the flexible capacitive pressure sensor in recent years. It has many applications, such as electronic skin and fingerprint collection devices. One of the challenges is optimizing the sensor's design, which can be achieved by improving its sensitivity. The flexible capacitive pressure sensor outperforms other pressure sensors in terms of efficiency, response time, and cost. In the future, more applications will use the flexible capacitive pressure sensor as the component. Thus, improving its sensitivity becomes significant. The topic of this review is to briefly introduce the flexible capacitive pressure sensor's mechanism, how to achieve high sensitivity and any potential applications that already exist in the market. It will also go over some experiments to improve the sensor's sensitivity and their benefits. In the end, the future expectations of the capacitive pressure sensor will also be discussed. The topic of this review will be significant to the development of electronic devices.
Resistive Flexible Pressure Sensors and Their Applications
Authors: Lin Xingtong , She Junze
Published: April 2023

Resistive flexible sensors are widely used in many fields. Especially now, resistive flexible sensors are making great contributions to the development of wearable sensors and artificial intelligence. Therefore, the current situation in this article studies the resistive flexible sensor. This article will first introduce the background of the research, and then elaborate on sensing mechanism, the sensing improvement strategy, materials of dielectric composite, and had a great discussion in detail. The research significance of this article is to provide ideas and some summaries of the current situation for future research accuracy. Therefore, the research in this paper will be of great value to the application and research of wearable and more accurate treatment and diagnosis of future patients with the help of resistive flexible sensors. It is worth mentioning that the working principle and The sensitivity improvement strategy of this kind of sensor are introduced in detail in the following paper, and the physical and chemical properties of the raw materials of the flexible sensor are well analyzed, and then in-depth discussion is carried out. It provides some feasible ideas for improving performance.
Forest Value and Management Plan: A Development Guidance Report for Forest in Different Countries
Authors: Zhou Jingchen , Li Xiang , Bian Ying
Published: April 2023

Forests are an important part of natural resources. Forest management is a management science integrating ecological, social and economic benefits. To tackle the problem of calculating carbon sequestration,the Forest Volume Method and InVEST model are good choices.Firstly, we collected forest data of 35 countries and carried out data pre-processing. After calculating carbon sequestration, we used a more intuitive world map to show the result. For the purpose of determining optimal forest management plan, we introduce a new indicator: Characteristics and Location of Forest index(CLF) to represent the characteristics of the country's basic forest resources. We use the coordinate (FVI, CLF) and the distance d to reflect the level of forest resources and forest management capacity.
An Review of Dynamic CMOS Comparators
Authors: Liu Yuchuan
Published: April 2023

CMOS dynamic comparators contributes a major role on the implementation of mixed signal successive approximation register (SAR) type of analog to digital converters (ADC). High precision, dynamic range, low voltage operation, high speed, low power consumption, reliability and offset voltage are the critical factors to be considered while designing CMOS dynamic comparators. This paper reviewed the performance of some popular dynamic CMOS comparators such as StrongARM latch comparator, double- tail dynamic-latched comparator, dynamic bias comparator and triple stage somparator.
Sales Prediction Optimization via Gradient Boosting Decision Tree
Authors: Shi Yutian
Published: April 2023

Sales prediction is always a top priority for brands, effectively reducing unnecessary waste under the essential circumstance that all customers’ needs have been met.  With an efficient prediction model, brands can make accurate inventory decisions and get a significant increase in profit. This paper provides an efficient sales prediction model for cross-border e-commerce companies with Gradient Boosting Decision Tree. We use the sales volume in the past months, their statistical characteristics, difference characteristics and month on month characteristics as the characteristics we choose. We use the Mean Absolute Percentage Error perimeter to compare the accuracy of our method with the Moving Average Method to assess the performance of our model. The results show that our iterative model has higher accuracy compared to the Moving Average Method. It also has a significant edge in both automation and analyzing big-scale data sets, which means that it solves the low feasibility of existing methods. On this basis, we finally conclude that our machine learning model can make great contributions to sales prediction.
Research on the Application of Sound in Virtual Reality
Authors: Tang Jiwen
Published: April 2023

Immersive sound is an essential element of any Virtual Reality (VR) experience. In recent years, increasing popularity of VR devices and numerous advancements in hardware and software technologies, the development of immersive interactive sound has become more potent. This article explores VR through the sonic perception, presents a review of the Method of combining and applying sound and VR, with the goal of providing more references and suggestions for the sound of VR. This includes the creative and technical work of music and spatial sound in practical projects in recent years. Some examples of musical VR are provided in this article to compare their characteristics. A review of the state of the art of sound simulations, focusing on the various factors that ensure a complete and immersive audio experience, while trying to strike an appropriate balance between realism and accuracy. This article finally discusses the future and challenges of sound in VR.
Design of maximum output power of wave energy based on multiple search algorithm
Authors: Zhang Jianhui , Li Tianxu , Li Jie , Niu Qinghe
Published: April 2023

The wave energy device moves under the drive of waves. During the movement of the device, the damper inside the device is driven to do work and the work done by the damper is converted into energy output.In this paper, the force of the system in the initial equilibrium state of the device is first analyzed, and then according to Newton's second law, the motion state of the float and the oscillator are analyzed separately, and the differential equation motion model of the float and the oscillator is established.When the constraints are damping coefficients, multiple search algorithms are used to solve them, and the negative work done by the linear damping force is obtained, with a period of 40 times as long. After the work is analyzed and discretized, the objective function expression is obtained, and a number of average output powers are obtained and continuously compared, and finally the maximum average output power and its corresponding parameter values are obtained.The optimal damping coefficient and the maximum average power are obtained.
Application of Remote Sensing Technology in Different Natural Disasters
Authors: Wang Xuanxiao
Published: April 2023

Flood, typhoon and heat wave are common natural disasters in the world. Satellite remote sensing technology has become an effective method for geological hazard assessment due to its wide coverage, large imaging area and high time resolution. Based on introducing the research progress of flood disaster remote sensing monitoring, this paper compares and summarizes the research progress of principle and method of multi-source remote sensing flood monitoring, and analyses the advantages and disadvantages of various data. We also analyze the comprehensive application of remote sensing technology in typhoon monitoring from the perspectives of conventional observation data, satellite remote sensing data and unmanned aerial vehicle remote sensing data. In this paper, remote sensing technology is also used to monitor urban heat island and other climatic problems through machine learning, starting from solving heat wave problems in the climatic field by remote sensing. At the same time, the existing problems of various data resources in the analysis of various disasters are summarized, and the remote sensing technology which needs to make comprehensive use of multi-source data, the construction of climate monitoring system and other aspects are summarized to study the remote sensing information system in the field of natural climate disasters. The development trend of this technology is also summarized and prospected.
Schiff-Linked Pegylated Doxorubicin Prodrugs Forming Ph-Responsive Nanoparticles with High Drug Loading Capacity and Improved Drug Consignment
Authors: Guo Jintong
Published: April 2023

A new pH-responsive micellar nanopolymers was manufactured through self-assembly of PEG-Schiff-DOX prodrug in aqueous solutions. These nanoparticles show good biocompatibility and storage fixity for more than one week under normal conditions, and the advantage of rapid degradation under weak acid conditions. Under this circumstance, the in vitro experiments show that compared with the dissociative DOX drug, the PEG-Schiff-DOX nanoparticles exhibit the lower cytotoxicity and higher anti-tumor activity against the Hela tumor cells, indicating its great potential in various nanomedicine fields.
Uncertainty-Supervised Super-Resolution Deep Learning Network in Diffusion MRI
Authors: Wang Chun , Ma Jiquan
Published: April 2023

The research of uncertainty has shown great potential in the field of medical image processing. However, most of the research in the field of medical image is aimed at quantifying uncertainty. In this paper, we introduce an uncertainty supervised learning method. Specifically, we integrate the dropout variable reference and heterostatic noise model to estimate uncertainty and then guide super-resolution processing. Finally, we evaluate the enhancement effect of uncertainty supervised learning on super-resolution processing under the demonstration of DIQT model.
Skin-Integrated Devices and Systems for Haptic Interactions
Authors: Li Hanlong , Yu Haotian , Zhang Tong
Published: April 2023

The present situation for haptic feedback is in a urgingly booming tendency concerning the issues that influence the user in every move. Therefore, the skin-attachable haptic sensor is now in higher and more demanding requirements where there are many aspects of the problem that people frequently encounter. First, the texture cannot be harsh, leading to the dilemma where it cannot fit in communal areas, create a twist, cause an uncomfortable experience and even trigger allergic reactions. Next, color and size are essential for aesthetic demands and a person’s well-being. Finally, and most importantly, the proper mechanism of the detection system and the issue of energy supply. This paper mainly focuses on soft skin-haptic actuators for vibrotactile and kinesthetic feedback and soft skin-haptic actuators for high resolution and multimodality, respectively. The whole paper gives a thorough understanding of several sensors targeting different factors. To gain a clearer picture of the present statement, factors provided from different aspects could be of great assistance in tracing various symptoms and clinical treatment, witnessing a bright future.
Treatment And Prevention of Deep Vein Thrombosis
Authors: Wang Sifei
Published: April 2023

Deep vein thrombosis (DVT) is caused by abnormal deep vein coagulation, which is most common in the lower limbs, but sometimes it may also occur in other parts such as the subclavian vein. The main adverse consequence of DVT is pulmonary embolism (PE), which will seriously affect the quality of life of patients, and even endanger their lives. Although Paget-Schroetter syndrome (PSS) syndrome is rare, it also affects the physical and mental health of patients to a certain extent. Many factors may lead to the occurrence of this disease. Clinically, more attention should be paid to the risk factors to prevent the occurrence of the disease. At the same time, when the disease occurs, active treatment and intervention should be carried out to delay the progress of the disease. Anticoagulation is the basic treatment of DVT, which can inhibit the spread of thrombus, facilitate the autolysis of thrombus and recanalization of the lumen, and reduce the incidence and mortality of PE. At the same time, combined with other treatment programs, co-intervention.
Comparative Analysis of Diabetes in China and The United States-Based on Risky Factor, Complications and Quality of Life
Authors: Hu Mingyang , Shi Jianjun , Wu Hao , Wang Ziyuan
Published: April 2023

Of the two main types of diabetes, the most prevalent kind of diabetes is type 2 diabetes (T2D). In many of the world's countries with high diabetes rates and large populations, China and the United States are two nations that can be used as a point of reference when trying to find a solution to the diabetes problem. This paper analyzes the differences between China and the United States in terms of three aspects: risk factors, complications and the quality of life-related to this disease. Obesity is a risk factor that has a significant impact on diabetes in both the United States and in China, and smoking is also one of the risk factors which is more prominent in China. In terms of complications, the complications in the United States and China are almost the same, and the incidence is basically similar. The poor performance of pancreatic beta-cells and the disparity in treatment levels, however, are likely to blame for China's considerably greater prevalence of diabetic complications than the US. In China, the living quality of patients with any kind of diabetes depends more on the patient's economic status and education level, while in the United States, depends on cultural differences. Race is also an important factor affecting patients’ quality of life.
Analysis Of Statistical Data on Dementia and Seeking Potential Correlations and Research Directions
Authors: Zheng Chenlai
Published: April 2023

Modern human society is plagued by many diseases that were previously unappreciated, dementia being one of these diseases. Due to advances in modern medicine, the average human lifespan has increased greatly. However, many diseases have also emerged as a result of the longevity of humans. This article tries to find the potential factors that lead to dementia by analyzing data from a dementia study of 150 subjects at Washington University. The paper focuses on screening and analyzing the data by using R language and programs, and the proportions of subjects were calculated and compared according to gender. In addition, age, eTIV, nWBV, and ASF were subjected to binary analysis and scatterplots in permutations and combinations. The study did not find potential associations for variables other than eTIV and ASF. This study primarily used data statistics and analysis to provide possible potential research directions for clinical researchers in this field, with the hope that future research will lead to breakthroughs in Alzheimer's disease (AD).
Application And Comparative Analysis In SARS-Cov2 by PCR And CRISPR/Cas9
Authors: Li Mengying , Li Weijia , Situ Jieying
Published: April 2023

COVID-19, a global large-scale epidemic caused by the novel coronavirus, is detrimental to people’s mental and physical health, and it also destruct the economic environment. In the process of the study of COVID-19, fast and accurate detective tools are necessary. There are plenty of clinical and laboratorial methods for detection. Nevertheless, due to various of realistic limitations, these methods cannot be fully applied clinically. This paper reviewed the some kinds of current polymerase chain reaction (PCR) technologies and the latest CRISPR/Cas9 in the detection of SARS-Cov2, compared the differences among these methods, and summarized the major achievements in cutting edge and limitations. In order to provide new ways to diagnose and cure the disease efficiently, and help doctors and researchers to investigate the complex pandemic and control the diffusion. PCR technology is the golden standard in the field of detecting COVID-19, while the high false negative rate and high requirements need to be improved. Many detective methods have been developed based on the CRISPR/Cas9 technology, each has its advantages, but also limited. In the future, the existing technology will be improved to explore the methods of mutual reference and combination between technologies, and find ways to improve the diagnostic efficiency and help clinical application, so as to provide help for the management of COVID-19 infection.
Optimal modeling of anti breast cancer drug candidates
Authors: Li Jiaying , Zhang Guowei , Yang Hongxia
Published: April 2023

As breast cancer is one of the most common cancers with high mortality rate in the world, this paper studies the optimal screening of anti-breast cancer candidate drugs. First, the data of 729 compound molecular descriptors are preprocessed, rough cleaned and filtered to 253, and then the cluster feature tree and correlation analysis are used to further reduce the dimension of data redundancy information, and 29 representative molecular descriptors are screened. In order to determine the importance and significance variables affecting the activity of compounds, the preliminary results were obtained by Pearson correlation analysis, and the results were further verified by Spearman correlation analysis. The stability of molecular descriptors was determined by coefficient of variation analysis, and the most representative 20 variables were selected from 29 molecular descriptors by principal component analysis. Projection pursuit model (PP) can reduce the difficulty of storage and calculation of high-dimensional data. 253 variable information reflecting biological activity are extracted with this model, and then the projection direction is optimized by using accelerated genetic algorithm (RAGA). Finally, 20 projection function values in the optimal projection direction are calculated to complete the prediction of compound activity index.
Topotecan and Irinotecan as potential inhibitors of PARP-1
Authors: Bao Yueyi , Yu Yizhou
Published: April 2023

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease worldwide, but disease-modifying treatments are still lacking. Poly (ADP-ribose) polymerases (PARPs) consume nicotinamide adenine dinucleotide (NAD) to repair DNA. Excessive PARP activation can deplete NAD in neurons, contributing to mitochondrial dysfunction and cell death. Mutations in the PARP-1 gene leading to lower PARP-1 levels are protective in AD. This suggests that molecular inhibitors of PARP-1 could have therapeutic potential for AD. Here, we trained a machine learning model to predict potential inhibitors of PARP-1 from FDA-approved drugs. First, we generated multimodal molecular descriptors and trained a random forest regression model. We then performed in silico screening on over 1000 compounds and generated their IC50 on PARP-1. The predicted top 3 most potent predicted inhibitors were Bryamycin, Topotecan, and Irinotecan. Bryamycin is a peptide while Topotecan and Irinotecan are small molecules. To further characterize the binding conformations of these small molecules, we performed molecular modeling to determine the binding poses and energy of Topotecan and Irinotecan. Our in silico docking results showed that Topotecan is a more potent inhibitor of PARP-1 than Irinotecan. We then analyzed the differential gene expression in the brain upon Topotecan treatment and found putative neuroprotective pathways. We conclude that Topotecan could be a potential therapeutic method against neurodegeneration through PARP-1 inhibition. Future studies are required to reveal the biochemical effect of Topotecan on PARP-1 activity and the therapeutic potential of Topotecan in animal models of AD.
Research of Geothermal Resources on Hot Dry Rock in North Songliao Basin of China
Authors: Xiao Duo , Wei Huabin , Shi Shangming , Zhu Huanlai , Gan Senlin , Wu Xiaoxiong , Feng Wei
Published: April 2023

With abundant oil and gas as well as geothermal resources, Songliao Basin is a famous large continental sedimentary basin in China. So far, the research of geothermal resources in North Songliao Basin has mainly concentrated in the shallow layers where low-temperature geothermal resource is mainly developed. However, the research of deep geothermal resource in high-temperature hot dry rock is still in a blank state. Based on the Songliao Basin exploration and research achievements as well as oil exploration well data, this paper further improves geothermal resource exploration and development theories of North Songliao Basin by researching geothermal resources in high-temperature hot dry rock. Hot dry rock distribution is relatively concentrated in the North Songliao Basin, mainly in the central, southern and southeastern part of the study area, where the depth of 150 ℃ isothermal surfaces substantially less than 5km is conducive to the development of hot dry rocks. Studies have shown that two high value areas of terrestrial heat flow in the North Songliao Basin are respectively located in the southern part of the central depression area as well as the junction of three first-order tectonic belts including central depression, southeast and northeast uplift areas, where geothermal resource potential of hot dry rock is great. By using enhanced geothermal system, mining hot dry rock is feasible. This study has some guidance and reference for the development and utilization of deep geothermal resources in hot dry rock of the North Songliao Basin.
Application of audio frequency electric perspective technology in mine water disaster prevention
Authors: Guo Fangyan
Published: April 2023

Based on the geophysical characteristics of the top and floor strata of No.8 coal seam in Sitai Mine, through the reasonable site arrangement of measuring points and rigorous indoor data processing and analysis, the use of audio electrical perspective technology to detect the top and floor low resistivity abnormal area in 80207 working face. According to the detection results, combined with the existing hydrogeological data of Sitai mine, the relative water-bearing area and the key water control area of the working face are delineated. The results show that the audio frequency electric perspective technology can provide a basis for the prevention and control of mine water disaster conveniently and effectively.
Control of oil and gas formation in the Shahejie Formation by the Li Xian Slope Fracture in the Jizhong Depression
Authors: Tian Yue
Published: April 2023

Combining the information on the period of fault activity, hydrocarbon source rock distribution and reservoir distribution within the Lixian slope of the Jizhong Depression, the study was conducted on the controlling role of fractures on hydrocarbon formation. The results of the study show that: 1. the influence of fractures on the formation of traps, (1) the nose-like tectonic zone controls the formation of lithological traps of broken nose traps; (2) traps are formed at the segmentation point of the lower plate of the positive fault Gao Yang fault, which is located at the boundary of the external and external zones; (3) Fault activity controls the formation of trap closure; 2. The influence of fracture on oil and gas transportation, the role of oil and gas in the process of vertical transportation, combined with the location of hydrocarbon source rock development and the activity of the fault, fracture controls the vertical transportation of oil and gas.
Research status of heat storage technology
Authors: Fang Junyi
Published: April 2023

With the massive consumption of fossil fuels, the world is gradually facing the problem of energy exhaustion and environmental pollution. Energy plays an intuitive and important role in today's human development and global pattern. The geopolitical crisis caused by this is becoming increasingly fierce and the world energy price wave. In order to seek a more stable source of energy to get rid of the limitations of fossil energy, new energy becomes a new direction of development. In theory, only 23% of the Earth's potential renewable energy (solar, tidal and wind) could be converted to meet today's energy needs, but due to time and geographical factors, utilization is still low. Therefore, the development of heat energy storage technology is of great significance to alleviate energy pressure and promote sustainable development of social economy. In recent years, heat energy storage technology has become one of the most attractive heat energy utilization technologies and has attracted wide attention. At present, it has become a research hotspot worldwide. This paper summarizes the latest research status of heat storage technology in recent years, including the new progress of some technologies. Different heat storage technologies are suitable for different environment and use background, and different energy storage technologies are compared, so as to facilitate the analysis and research of new energy heat storage research under different circumstances.
Analysis of the Internal Relationship Between the Transformation and Development of Newly Built Application-Oriented Undergraduate Colleges and Universities and the Enhancement of Social Service Ability
Authors: Yang Shengxiu , Sun Xiaoli , Fan Lujie
Published: April 2023

The purpose of this study is to explore the internal relationship between the transformation development of new application-oriented undergraduate colleges and the enhancement of social service ability. Firstly, the paper analyzes the factors influencing the transformation and development of new application-oriented undergraduate colleges from the aspects of discipline construction, teaching quality and scientific research ability, innovation ability and internationalization degree. Secondly, it analyzes the importance of improving social service ability from the aspects of serving society, promoting the cooperation between industry, university and research, and transforming scientific and technological achievements. Furthermore, the paper puts forward the internal correlation between the transformation and development of newly built application-oriented undergraduate colleges and universities and the improvement of social service ability, that is, by improving teaching quality and scientific research ability, enhancing innovation ability and internationalization degree, newly built application-oriented undergraduate colleges and universities can improve their comprehensive strength and competitiveness, and thus improve the ability to serve the society. At the same time, improving the ability of social service can further promote the transformation and development of newly built application-oriented undergraduate colleges, promote the cooperation between production, university and research, transform scientific research results into technologies and products with practical application value, and make greater contribution to the development of local economy. Finally, it puts forward corresponding policy suggestions, including increasing policy and financial support, optimizing discipline structure, strengthening industry-university-research cooperation, and establishing evaluation mechanism and incentive mechanism, so as to promote the transformation and development of newly built application-oriented undergraduate colleges and universities and improve their social service ability.
Research on the Cultivation System of Innovation Ability of Postgraduates with Master's Degree in Engineering
Authors: Xin Liwei , Song Yaobin , Shi Xiaoling
Published: April 2023

As the main source of high-quality innovative and application-oriented talents in China, the scientific and rational nature of the training system of master's degree in engineering directly affects the quality of Chinese engineering talents. In order to solve the problems existing in the training objectives, teaching models, curriculum settings, degree awarding and other aspects of the engineering master training system, the paper studies the innovation ability training system and mechanism of the engineering master professional degree graduate students from three aspects: the design of the innovation ability training structure of the Chinese engineering master graduate students, the empirical analysis of the innovation ability quality structure of the engineering master graduate students, and the reform suggestions of the innovation training system of the engineering master graduate students, Clearly define the basic concepts such as the innovation ability quality of the engineering master, analyze the innovation ability training of the engineering master professional degree graduate students by using the big engineering concept and competency theory, and enrich the theoretical basis of the research on the innovation ability quality structure of the engineering master professional degree graduate students.
Exploration of Translation-Communication Model for Chinese Culture to Go Abroad from the Perspective of Mass Communication: A Case Study of English Version of the Garlic Ballads
Authors: Li Lan
Published: April 2023

Translation has become increasingly significant as the pace of Chinese culture going abroad accelerates, based on Laswell’s five-questions model of communication, with the case study of two English version of the Garlic Ballads translated by Howard Goldblatt, this paper tries to construct translation-communication model so as to explore an effective way for Chinese culture to go abroad from the perspective of mass communication studies.
Analysis and research on cooperative education mode of local colleges and universities under the background of integration of industry and education
Authors: Xu Mengdi
Published: April 2023

The integration of industry and education is not only an important part of the development of China's collaborative education cause, but also an important measure of China's higher education reform. At present, there are still many problems in the cooperative education mode of production and education in China. In order to effectively promote the integration of production and education and the all-round integration of industrial development, form a professional system with closely connected industrial chain and employment chain, and establish a perfect talent training mode, the collaborative education mode of local colleges and universities still needs to be explored and practiced continuously.
Construction of Physical Education Teaching System in Colleges and Universities Based on the Concept of Lifelong Physical Education
Authors: Shi Qingfeng
Published: April 2023

Physical education always undertakes the two core contents of physical quality education and comprehensive ability education in colleges and universities, helping students cultivate correct health awareness, promoting the improvement of students' physical functions and health levels, reflecting the importance and particularity of talent cultivation and national quality improvement in the stage of higher education. In the context of the continuous expansion of our national sports vision, the continuous promotion of national sports projects, and the continuous development of physical education in colleges and universities, the physical quality of college students is constantly declining. In response, this article has conducted a research on college physical education based on the concept of lifelong physical education, using changes in students' physique, learning efficiency, and innovation awareness as indicators to identify whether teaching methods are effective. Regular evaluation of the effectiveness of teaching methods can ensure the effectiveness and scientific of method innovation. To continuously enhance students' autonomy and enthusiasm, ensure that each student can receive reasonable physical exercise, and achieve their own healthy growth and development.
Research on "mixed" teaching results based on OBE concept and BOPPPS teaching mode
Authors: Niu Kuan
Published: April 2023

In order to solve the core problem of how to improve the teaching quality of university courses, this achievement takes the OBE teaching concept as the guide, adopts the "student-centered" BOPPPS teaching mode, and adapts to the new requirements of the new era and new engineering subjects by reforming the teaching mode, teaching design, teaching content, teaching methods, and teaching means, improves the teaching quality of the courses, and achieves remarkable teaching and educating effects.
An Application of Scaffolding Instruction in the Reading Course for Elementary CFL Learners
Authors: Li Li
Published: April 2023

Scaffolding instruction based on constructivism has been widely accepted and implemented by educators both at home and abroad. However, there has been little discussion about its application in teaching Chinese as a foreign language. This study aims to explore an effective way to develop elementary Chinese as a Foreign Language (CFL) learners’ reading ability through the use of scaffolding instruction. The results demonstrate that scaffolding instruction in the reading class leads to a more engaging and interactive learning environment, offering students the necessary support and guidance to gradually enhance their reading skills.
Exploring the optimization of education management in universities based on big data era
Authors: Ma Kai
Published: April 2023

The continuous development of science and technology has led to the gradual application of new technologies such as big data technology and cloud computing to many industries. The emergence of massive quantitative data information requires a more advanced and reliable technology to collect, analyze, process and transmit data information, to explore the value of data information, to better use it for people and to improve the efficiency and quality of work. For colleges and universities, they also need to pay more attention to the scientific analysis of the characteristics, trends and technical advantages of the era of big data, use big data to strengthen education management, optimize management process, innovation, mode and improve management level. However, there are still more problems in the process of specific utilization and the quality of data is not high, so it is necessary for universities to strengthen reflection, build digital education management platform, optimize the management process and road base to meet the needs of schools, for which this paper mainly discusses the optimization ways of education management in universities in the era of big data.
Collaboration: Exploring the path of novice teachers' growth in teaching and research activities
Authors: Ruan Chenyi , Cheng Zhuoyi
Published: April 2023

For novice teachers, collaborative teaching and research activities are an important way to enhance their professionalism and realize their aspirations as teachers. In diverse collaborative teaching and research activities such as teacher-apprentice systems and group listening and evaluation, teachers are able to find their own breakthroughs in imitation, practice and reflection, shaking off the pain of identity change in a short time and moving towards the goal of teacher excellence. However, existing collaborative teaching and research activities are generally characterized by formalism, lack of teacher initiative and utilitarian outcomes, which hinder the development of novice teachers. Therefore, based on the above background, this paper proposes an effective path for novice teachers to achieve growth in collaborative teaching and research activities from two dimensions: extrapolation and endogenization, with the aim of using teachers' endogenous motivation as the source and efficient and diverse collaborative teaching and research activities as a scaffold to help novice teachers achieve growth and transformation.
Analysis of College Students' Misconceptions of Quantitative Research in Social Sciences in China: Implications for Teaching
Authors: Li Xiangmei , Li Quanli , Wang Qiuxiao
Published: April 2023

Research design is essential in regard to obtaining objective reliability for social science research. However, some social sciences students may be prone to many misconceptions regarding the understanding of quantitative research and application of statistics, which threatens the credibility of the research. To understand and potentially alleviate this problem, we examined 25 research projects and interviewed 10 undergraduate students who participated in quantitative methodology courses in social work and social welfare in a university in mainland China. This study aimed to explore students’ misconceptions about quantitative research methods and statistical analysis. The results show that common misconception include but not limited to the following aspects: (1) taking research topics as research questions; (2) no clarification of sampling procedure in data collection and no random assignment in experimental research project; (3) no explanation of the validity and reliability of the construct measures; (4) violations of the assumptions of statistical tests; (5) misuses of statistical methods; and (6) misinterpretation of statistical findings; and (7) little consideration of research ethics. The findings indicate that institutes, educators, and students should make consorted efforts to improve the understanding of quantitative research methods and enhance statistical literacy of undergraduates in social sciences in China.