bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of the Uncertainty of Sino-US Economic and Trade Policy on the Volatility of Corn Futures Market
Authors: Li Zhixuan
Published: July 2023

China and the United States are key players in the global agricultural trade network and important trading partners that interact with each other. However, against the background of escalating trade frictions between China and the United States and the outbreak of the global epidemic, the issue of food prices has once again received much attention. As an indispensable and important part of Sino US trade, corn futures are constantly affected by the uncertainty of the economic and trade policies of the two countries. Based on this, this article, on the basis of establishing a basic theoretical framework for analysis, further explores the transmission mechanism and channels of the impact of trade policy uncertainty on the price of corn futures between China and the United States. It is found that the price changes of corn futures between China and the United States mainly consist of the trade path and the financial path. Accordingly, this article proposes that China and the United States should further strengthen economic and trade consultations, communication and collaboration, strengthen scientific and technological innovation, and promote trade market diversification and other relevant policy recommendations, providing reference opinions and suggestions for the development of Sino US trade relations and the stability of global food prices.
The Efficient Fuel Combustion Using Chemical Looping
Authors: Cui Junqi
Published: July 2023

This paper discusses Chemical Looping Combustion (CLC). That is the system for energy generation and pollutant control which can capture carbon dioxide (CO2). CLC uses the carrier of solid oxygen that can transfer the oxygen from air to fuel during combustion, eliminating the need for an air separation unit (ASU), and allowing to production of an approximately pure stream of carbon dioxide for the purpose of capturing and storing. The paper also discusses the history of CLC, the types of fuels that can be used in CLC, and the challenges and difficulties this technology is facing. The second part of the paper centers on the topic of different types of solid oxygen carriers, including copper oxides, manganese oxides, and iron-based oxygen carriers. The paper also discusses utilizing solid fuels in CLC systems, particularly coal. All the essential components required for expansion are presented and accounted for. Various inexpensive oxygen transport substances have undergone extended trials and have exhibited satisfactory levels of effectiveness and durability. Overall, CLC is a promising technology for reducing the environmental impact of energy production and industrial processes.
SLAM-based Navigation Technology for Rescue Robots in Post-disaster Scenarios
Authors: Chen Xinxiu , Chen Yannan , Xu Jinyu , Zheng Yongxu
Published: July 2023

In order to solve the problems of difficulty and high-risk factor in implementing rescue after disasters, this paper designs an intelligent rescue robot autonomous navigation system based on LIDAR synchronous positioning and map building, with a view to achieving autonomous navigation of robots in complex post-disaster scenarios to complete rescue tasks. Firstly, the autonomous navigation system senses the scene by LiDAR and uses gmapping algorithms to construct a map of the post-disaster environment. Secondly, adaptive Monte Carlo localization algorithm is used to achieve robot localization based on radar and odometer data. Then the robot rescue work path is planned to use the Dijkstra algorithm. And TEB local planning path algorithm is used to control the robot. Finally, to verify the reliability of the autonomous navigation system designed in this paper, the ROS system software framework is used as the basis. The SLAM map construction, global path planning, and local real-time obstacle avoidance are tested practically under the scenario to ensure that the autonomous navigation of the mobile robot meets the requirements.
Analysis of feature point matching technology in SLAM based on binocular vision
Authors: Yu Mingda
Published: July 2023

With rapidly developing computing technology, intelligent robots have been used extensively in many areas of life, improving work efficiency and lowering labor costs. At the same time, with the increasing number of robot application scenarios, the demand for robot intelligence has also increased. Computer vision-based simultaneous localization and mapping (SLAM) technology is a key technology that helps robots achieve real-time positioning and navigation in order to improve their intelligence. Feature point matching is an important component of this technology. This paper mainly analyzes the current development status of feature point matching technology in visual SLAM. Firstly, a brief introduction was given to the three widely used SLAMs, and the advantages and disadvantages of different SLAM technologies were analyzed. Second, a brief presentation and explanation of the working principle of binocular SLAM technology were provided. Then, the basic principles and key points of feature point recognition and matching techniques in several different algorithms for visual SLAM were summarized. Analyzed the advantages and disadvantages of various algorithms, as well as improvements based on this algorithm. Finally, summarize and provide suggestions for the future development of visual SLAM technology.
Hydrogel for the Treatment of Osteoarthritis
Authors: Li Yangxi
Published: July 2023

Worldwide, the prevalence of osteoarthritis has grown significantly in recent years, and the rate of growth is accelerating. In recent years, the number of people with osteoarthritis has increased rapidly worldwide, and the rate of increase is on the rise. The development of osteoarthritis at an advanced stage can cause significant physical and psychological damage to patients. This article will introduce the application of natural and synthetic hydrogels in the field of osteoarthritis treatment. Natural hydrogels such as gelatin, alginate and polysaccharide have good biocompatibility and biodegradability and can be used for intra-articular drug delivery after modification. Synthetic hydrogels such as polyvinyl alcohol, polyethylene glycol and poly (lactic acid-hydroxyacetic acid) copolymer have good mechanical properties and can be used for intra-articular drug delivery and joint lubricants. In this article describes the application of hydrogels to carry a range of drugs and cell growth factors for the treatment of osteoarthritis, to act as scaffolds for cell growth, to lubricate joint cavities, and to reduce loads on joints, as well as several hydrogel modification methods to give them better biological or mechanical properties.
Numerical Simulation Analysis of Rock Fracture Propagation Based on VUMAT
Authors: Hu Mingtao , Li Zihan , Wang Zhongjue
Published: July 2023

The study of crack propagation in rock is of great significance to the stability of structural engineering. In this paper, through ABAQUS software, a simulation method of rock fracture propagation law is proposed. The D-P criterion of shear effect (Drucker Prager criterion) is embedded into the VUMAT subroutine in ABAQUS software, and the rule of rock fracture propagation is analyzed by using the element deletion method. The results show that: (1) stress concentration occurs first at the tip of the prefabricated crack, and then fracture occurs; (2) The fracture pattern is perpendicular to the crack, develops symmetrically, and produces secondary horizontal cracks; (3) The crack develops and forms an anti-wing crack, which continues to expand with the secondary horizontal crack, and finally the rock is destroyed. (4) Compared with the test results, the model can better reflect the law of rock crack propagation.
Towards Commercialization of Perovskite Solar Cells: Fabrication, Lifetime, and Lead Toxicity
Authors: Liu Jiarong , Peng Yuwen , Yan Yiheng , Zhang Bike
Published: July 2023

Perovskite solar cells (PSCs) have seen rapid improvement in efficiency recently. As of 2021, the record efficiency is 25.5% and is increasing at a rate of 1% per year. This efficiency is comparable to that of crystalline silicon solar cells. Moreover, PSCs can be prepared using an inexpensive solution process. These two factors give PSCs great potential for revolutionizing the photovoltaics industry. However, most PSCs have a small cell area (~0.1 cm2), short lifetime (~1000 h), and contain lead, which is toxic to the human body. These factors hinder the market prospect of PSCs. In this work, we reviewed the recent progress towards the commercialization of PSCs. First, fabrication methods able to prepare large-area, high-quality perovskite film are summarized. Then, we discussed methods to improve the lifetime of PSCs in both ideal and actual environments, emphasizing encapsulation techniques. Finally, we reviewed the various approaches to fabricate stable, high-efficiency lead-free PSCs.
Research on asphalt materials based on machine vision and generate adversarial networks
Authors: Song Wenyin , Li Haibin
Published: July 2023

With the rapid development of artificial intelligence and deep learning, computer vision-oriented generative models have been widely used. Among them, the generation of adversarial network has the most far-reaching influence. To solve the problem of dynamic instability in the training of generative adversarial networks, this paper proposes a rapid construction method of generative adversarial networks based on hidden layer characterization. The generation process of the adversarial network is divided into two independent generation processes to generate the representation of the experience hidden layer and the final result respectively, so as to stably generate the training dynamics of the adversarial network and capture more data patterns. This method can effectively and stably generate the training dynamics of the adversarial network. Finally, theoretical analysis proves that this method can stably generate the training dynamics of adversarial network and reduce the difficulty of adversarial training. Large-scale experiments on multiple data sets demonstrate the effectiveness of the proposed method.
A Design of Obstacle Avoidance and Grabbing Manipulator Based on Computer Vision for Warehouse Inspection Robot
Authors: Zhang Shaotong
Published: July 2023

The automatic manipulator has several potential applications in industrial systems. It is critical to research machine route planning and obstacle avoidance in order to fulfill the rising technical requirements. This work provides a technique for realizing the aforementioned tasks based on an enhanced obstacle avoidance algorithm that can automatically skip barriers and complete target sorting using visual identification and improved obstacle avoidance algorithms. The whole system consists of three parts: image collection, pose estimation and target grasping. Firstly, computer vision technology is used to recognize and locate target objects. Secondly, the robot's kinematics model is created, and combined with the visual perception information, the target grabbing and sorting are completed. Finally, the environment is built with Gazebo, and the robot is simulated. Simulation results verify the feasibility and effectiveness of the method.
Prominent Selection Strategies for Metal Cathode Materials in Lithium-Ion Batteries
Authors: Cao Jiaqi
Published: July 2023

Lithium-ion batteries (LIBs) emerge as a substitute for traditional fossil fuels and become a dominating power source in portable electronics and electric vehicle markets. Recent research on improving the performance of lithium-ion batteries involves better battery lifetime, power capacity, and specific energy by the innovation of new anodes, cathodes, and nonaqueous electrolytes. However, the cathode materials are the bottleneck in the research process due to their lower capacity, which becomes the focus of development. This review presents an outlook on lithium-ion technology by introducing its basic structure and mechanism, examining four structures of LIBs, namely lithium-rich layered oxides, lithium-manganese-rich layered oxides, lithium-ion-phosphate and spinel lithium-rich oxide, as well as comparing their performances and practical use.
Advanced Regenerative Fuel Cells: Characteristics and Application
Authors: Li Chengze , Liu Zhuohao , Xu Zike
Published: July 2023

Nowadays, with the extreme increase of carbon emissions and the consumption of non-renewable resources, the earth's environment has a huge impact. More countries are adopting new carbon policies, and more companies are building new electric cars. Electric vehicles have a great advantage in harmful gas emissions and energy saving compared with ordinary fuel cars. The few disadvantages of electric vehicles are limited to the efficiency of battery supply and the lack of widespread implementation resulting in poor mobility. However, most electric cars today are powered by hydrogen fuel cells. This article will mainly discuss the working principle, the main characteristics and practical applications of the hydrogen fuel cells in professional fields. We mainly collected some information and data and visited many websites and papers on the hydrogen fuel cell for some study and summary.
Meso-concrete Uniaxial Compression Experiment Based on ABAQUS
Authors: Peng Manyu
Published: July 2023

Plain concrete is made of cement matrix and aggregates. The current numerical model researches mostly consider the cement matrix and ignore the existence of coarse aggregates, which is not consistent with the reality. In view of that, this article uses ABAQUS as the platform to establish a meso-concrete damage model based on the concrete coarse aggregates and CDP (Concrete Damaged Plasticity) model constructed in Python language. The results show that: (1) The main failure mode of concrete model is shear failure, and the crack is about 45° to the vertical plane. (2) Under the action of the load, multiple micro-cracks are formed at the end of the concrete, which are gradually extended to each other, and finally a macroscopic large crack is formed. (3) The damage model proposed in this article is in line with reality and provides guidance for concrete damage research.
Chemical composition analysis and type identification of ancient glass products
Authors: Li Jiaman , Zhao Mengyao
Published: July 2023

In this paper, the chemical composition analysis and type identification of ancient glass products are studied. Firstly, the qualitative analysis is changed into quantitative analysis, the type of glass, pattern and color are treated quantitatively, and the Chi-square test model is established. On this basis, the Chi-square cross thermal map is output to analyze the correlation degree of samples. The results of effect quantification are obtained. In order to study the division method and results of the internal chemical components of high potassium glass and lead barium glass, the principal component analysis method was adopted to reduce the dimension of the chemical components. Then train the data and build the model. This paper discusses the differences of correlation between chemical constituents of different types of cultural relics samples from the perspective of statistics.
Recent Research and Prospect of 3D Printing Technology in the Preparation of New Ceramic Materials
Authors: Wang Junxiao
Published: July 2023

3D printing, as a new generation of molding technology, has the advantages of simple operation, high molding efficiency and high precision, so that 3D printing molding functional ceramic components in medicine, aerospace and other fields have broad application prospects. This paper mainly introduces the forming process and materials of 3D printed ceramics, as well as the development and application status of 3D printed ceramics in functional ceramics and research status at home and abroad.
Current Status of Jet Engines and Their Future on Fuel Efficiency
Authors: He Haozhou
Published: July 2023

Recently, regulations on emissions for international aviation has become increasingly strict. In addition, cost of fossil fuel has increased owing to limited non-renewable resource. Therefore, it is important to understand fuel efficiency because this is a practical method to reduce the cost and emissions based on recent technology. In this article, theoretical background of jet engines will be demonstrated, which include structure of jet engines and cycle efficiency. Followed by factors that affect the efficiency of jet engines. Finally, applications of jet engines based on efficiency and methods that improve efficiency are demonstrated, which includes recent technologies and possible future directions.
Design and Simulation of IIC based on FPGA
Authors: Xu Weiting
Published: July 2023

The Inter-Integrated Circuit (IIC) bus has been widely used in the industry these years. Because it is very simple and bidirectional, IIC has been widely developed in the field of communication engineering and electronic engineering. It is simple and bidirectional. Developed by Philips, IIC just requires two wires to transfer information. The Field Programmable Gate Array (FPGA) is the product of further development of programmable devices. IIC work out the shortcomings of custom circuits and the problem of the restricted number of gates of the primitive programmable devices. This paper introduces the knowledge of FPGA, IIC bus system, and simulation software, and rewrites the IIC bus using FPGA, and finally successfully derives the simulation waveform to enhance the promotion of IIC technology. There is no doubt that the research of this paper further strengthens the development of IIC bus technology, promotes the application of IIC bus technology and promotes the progress of communication industry.
Design and research of tunnel ventilation system based on STM32
Authors: Sun Jianxiang , Liu Junqi , Hu Kaijian , Tan Shiyang
Published: July 2023

Tunnel ventilation system has always been an important field in tunnel construction, with the main purpose of ensuring air circulation inside the tunnel and ensuring the safety of personnel and equipment inside the tunnel. This article introduces the concept and working principle of tunnel ventilation system. In addition, in terms of operation, this article proposes comprehensive management measures and discusses the measures that should be taken in different situations and emergency response methods.In summary, this paper focuses on the design and operation of tunnel ventilation systems, which has certain reference value for practical applications.
Research on azimuth-only passive positioning of UAV formation: A case study of circular formation
Authors: Lai Xian , Liu Liyuan , Peng Xiaoran
Published: July 2023

In order to maintain the formation, the position of Drones cluster can be adjusted by the method of azimuth-only passive positioning. In this paper, the circular formation is taken as an example. Firstly, when the coordinate information of Drones at the center of the circle and around the circle is known, the coordinates of other Drones are solved according to the Angle signal. By using polar coordinate programming, the Angle between different Drone lines is calculated, and using this information as known information, the nonlinear equations are solved by inverse derivation of their own coordinates. Secondly, in order to determine that at least several Drones need to transmit signals to realize effective positioning of all Drones in the circular formation, this paper concludes that only three Drones at most are needed to realize azimuth-only passive positioning based on the established model.
CRISPR/Cas Systems for Therapeutic Purposes: Applications in Disease Prevention, Mechanism Study, and Treatment
Authors: Ye Ruixi , Chen Xi , Li Yutong
Published: July 2023

CRISPR/Cas systems were novel multifunctional genome editing techniques, and the modification of Cas proteins endowed them with more efficient and precise properties. Herein, we systematically outlined the principles and applications of CRISPR/Cas systems in disease prevention, mechanism research, and gene treatment of diseases. Specifically, we detailed the systems widely utilized, containing the Cas9, Cas12a, and Cas13a systems, and summarized the current status of the medical applications of these systems in terms of vaccine design, trait improvement, animal models of human diseases, organ transplantation, gene therapy, and gene detection. We concluded that CRISPR/Cas systems had great potential to advance medical research and practice but also should be carefully regulated and supervised to ensure their safety and efficacy.
Review on Lung Cancer Lesion Detection and Segmentation Methods
Authors: Ji Kangjun , Lin Haoyang
Published: July 2023

Lung cancer itself and relevant detection and segmentation methods, in the modern society, becomes increasingly popular and significant topics. Scientists believe that people smoke positively may deteriorate their body health themselves, and people who breathe it in second hand may also suffer from this harmful environment. To help people with lung cancer lesions, there are several methods used for cancer treatment. Automated CT imaging can encircle suggested segmentation areas in a 3-D version, and it provides convenience with users when they feel tired after diagnosing for a whole day. Semi-automated CT deep learning model is another technique to detect particular regions in the lung by adjusting pixels. Additionally, few-shot learning based on advanced learning algorithm is an efficient method for lung cancer lesion detection, and Generative Adversarial Networks(GAN) can be used for lung cancer detection by using a small number of medical images as train datasets. However, CNN model cannot obtain global information; therefore, the integration of 2dcnn and 3dcnn solves this limitation in an effective approach.
Mechanism of Action and Impact of the New Coronavirus Vaccine
Authors: Zhao Hangyu
Published: July 2023

A massive global health disaster caused by the novel coronavirus (COVID-19) pandemic has harmed millions of people and resulted in severe suffering and mortality. Since the COVID-19 epidemic, research into mRNA vaccines and therapies has expanded. To achieve disease preventive and treatment goals, mRNA vaccines entail injecting a synthetic mRNA sequence encoding protein antigen into the human body, instructing the body to express the right protein, and prompting the body to evoke a specific immune response. As a result, efforts have been launched around the world to develop a vaccine that can protect against the virus and halt its spread. The mode of action and effects of the novel coronavirus will be examined in this essay. The background, literature review, and research progress, motivation and research framework, case study, and influence on the human body will all be covered in the article. All of these are predicated on the mRNA relationship. Finally, the article will include a conclusion that summarizes the findings of the study as well as its limitations and future prospects.
An investigation in to AI applications in Clinical Medicine diagnosis and treatment
Authors: Gao Shujian
Published: July 2023

Since the Industrial Revolution, productivity has risen rapidly and the global population has entered a stage of rapid growth. At the same time, the number of people suffering from the disease has increased by itself. Nowadays, the imbalance of medical resources is a serious problem. In some regions, the life expectancy of the population is much lower than the world average due to the serious lack of medical resources. And because diagnosis and treatment are subjective, there can be potential problems, further raising the risk of malpractice. Therefore, the application of advanced technology in the medical field is necessary and urgent. In this article, we examine the application of artificial intelligence in the medical field, especially in diagnosis and treatment. Furthermore, the advantages and disadvantages of the technology are further evaluated. Finally, we summarize the full text.
Applications of Tissue Engineering in Meniscus Repair
Authors: Wu Yize
Published: July 2023

Knee meniscus injury has a high incidence, which can change the load-bearing structure of the knee joint, causing pain and further cartilage damage and osteoarthritis and other related diseases, and is difficult to prevent and treat effectively. Therefore, how to treat meniscus injury has become one of the hot issues concerned by patients and medical staff in recent years. Compared with simple meniscectomy, tissue engineering meniscectomy has fewer adverse effects and some techniques have achieved satisfactory results. At present, the meniscus tissue engineering treatment method is continuously developing and innovating. In this paper, the promising techniques of collagen scaffold implantation, silk fibroin scaffold implantation, hydrogel implantation and bone marrow stimulation were discussed, we hope to provide the basis for the further development of meniscus repair.
Curcumin and colon cancer: from preclinical to clinical studies
Authors: Li Chong
Published: July 2023

In the US, colon cancer has the third most mortality. Though new managements have reported upgraded prognosis, the five-year survival rates of patients with general or metastatic colon cancer are still unsatisfied at 64.7% and 20%, respectively. As a result, more innovative therapies or drugs with high efficacy should be developed. Curcumin, a natural chemical compound, is now in the spotlight of both preclinical and clinical trials on colon cancer. It not only exerts exceptional anti-cancer effects, but also anti-inflammatory and antiviral bio-activities. However, curcumin shows low bioavailability when orally administered. To resolve this issue, nanoparticles have been widely utilized. In this review, we precisely summarize the effects of curcumin on colon cancer in both preclinical and clinical studies. In vitro studies, curcumin could arrest cell cycle at the G2/M phase as well as part of the G1 phase, and induce cell apoptosis by binding to targeted molecules. Except for this, epigenetic alterations could also induce colon cancer. Both in vitro and in vivo studies have proved that curcumin could remarkably influence the prognosis. Moreover, genetically designed murine models which were orally administered with curcumin demonstrated satisfactory effects on colon cancer induced by different factors. More importantly, curcumin alone or as an adjuvant showed satisfactory results in numerous clinical trials. In conclusion, curcumin demonstrated outstanding anti-cancer activity against colon cancer.
The Role of Circadian Rhythms in Polycystic Ovary Syndrome
Authors: Liang Jingxian , Liu Shuoqiu
Published: July 2023

Polycystic ovary syndrome (PCOS), as a most common metabolic disrupted disease, has several main symptoms, including ovarian insufficiency, hyperandrogenism, insulin resistance, etc., which may lead to female infertility. Many studies on the processes of PCOS have been done throughout the years, but unfortunately, the pathophysiology of PCOS is still not fully figured out. The circadian rhythm is the metronomic adjustment of the organisms to the external environment at all levels, from the molecular to the individual. It is revealed in multiple studies that there is a clear association between the progression of PCOS and the disturbance of circadian rhythms. Numerous studies have demonstrated that circadian rhythms can influence the development of PCOS by altering the Wnt/β-catenin, GPCR/cAMP/PKA, PI3K/AKT, and MAPK signaling pathways of the hypothalamic-pituitary-ovarian/hypothalamic-pituitary-adrenal axis, which result in abnormal hormone expression, receptor resistance, and metabolic disorders. The circadian rhythm misalignment may contribute to the formation and development of PCOS through the expression of certain genes that control the canonical signaling pathway. It is foreseeable that more preventive and targeted treatment for PCOS is the hot zone of clinical research in the future. This article aimed to review the state regarding the link between circadian rhythm disorder and PCOS, focus on the pathophysiology of PCOS, explore the pathways of circadian rhythm in the process of PCOS, and seek to offer a clear direction and practical approach for the prevention and treatment of PCOS.
Study of Factors for Heart Disease Prediction between Men and Women based on Multiple Regression Models
Authors: Guo Jingyi
Published: July 2023

Although previous studies have shown that there are differences in heart disease between men and women, the importance of some specific physical and chemical factors in the prediction of heart disease in different genders has not been clearly clarified. In this research, K-means clustering, multiple linear regression, logistic regression and random forest are adopted to analyze the UCI Heart Disease Data Set, which contains various physical and chemical indicators worth studying. The results demonstrate that exercise induced angina is more significant to the judgement of heart disease in women, while number of major vessels colored by fluoroscopy is more significant to the judgement of heart disease in men and type of chest pain is a statistically significant variable for both men and women. Thalassemia, ST depression induced by exercise relative to rest, greatest number of heartbeats per minute, age, resting blood pressure also have reference value for the judgment of heart disease. In terms of each model's fit to heart disease prediction, for women, the accuracy of random forest is the first, logistic regression is the second, and multiple linear regression is the third, while for men, the accuracy of random forest is the first, multiple linear regression is the second, and logistic regression is the third. These conclusions are an optimization of previous studies, and to a certain extent reflect that this study is of great significance to the prevention of heart disease in different groups of people.
The Emerging Role of Engineering Immune Cells in Cancer Treatments
Authors: Tan Jiacheng
Published: July 2023

Cell-based immunotherapy has become one of the forefronts of cancer treatments and led to significant clinical success in multiple refractory/recurrent hematological malignancies. Compared with other conventional treatment approaches, engineered immune cells are considered “living factories” that are able to continually produce anti-tumor factors and have the potential to mediate long-lasting therapeutic benefits following a single application. The intrinsic ability to expand and respond in portion to needs encompasses this technology a greater and more transformative potential to enable a more effective anti-tumor response with less off-target toxicity. Nevertheless, there are still some significant barriers to successfully applying cell-based therapy to treat solid tumors. Five main challenges include restricted trafficking and infiltration, antigen escape and heterogeneity, suboptimal persistence, immunosuppressive tumor microenvironment (TME), and potentially severe side effects and immune-related toxicities. The technological advancement of various biomolecular tools and genetic engineering strategies provides exciting opportunities to address these limitations. In addition, combination therapy that incorporates other treatment modalities within the treatment regimen of cell-based strategy also creates therapeutic synergies that can greatly improve the clinical success of the therapy. This review introduces current observed challenges in treating cancers, with an emphasis on solid malignancies, and discusses some potential engineering solutions that have shown promising results in recent preclinical studies.
Current progress of immunotherapy based on NK cell in cancer therapy
Authors: Wang Wanchang
Published: July 2023

Cancer generally refers to malignant tumor, including carcinoma, sarcoma and carcinosarcoma. This disease is caused by malignant cell hyperplasia. It is invasive and metastable. It is manifested by the continuous growth of a local mass of the body that destroys the normal tissue structure and can be transferred to other sites. It has been reported that there will be about 20 million new cases of cancer in 2020 and half of all cancer patients will die. Surgery, chemotherapy and radiotherapy, as the three standard treatment methods for cancer, plays an vital role in improving the survival rate and prolonging the survival time of cancer patients. In recent years, researchers have focused on the immune mechanism of tumors to explore the treatment of malignant tumors. Driven by the rapid development of modern molecular biology and gene engineering technology, immunotherapy has been paid more and more attention, showing good effect and application prospects, has become the world's recognized malignancy of the fourth treatment mode. Among these, natural killer cells (NK) fight cancer through their cytolytic function and the production of IFN-γ. One of the primary clinical objectives is to use their abilities for tumour immunotherapy. This article looks at advances in NK cell-based tumor therapy.
Circadian rhythm disorder induced type 2 diabetes mellitus: pathogenesis and therapeutics
Authors: Shi Haoran
Published: July 2023

Incidence rate of Type 2 diabetes mellitus (T2DM) is increasing rapidly nowadays. T2DM is related to poor sleep hygiene and shift work, and both circadian rhythm and chronotype may have a significant impact on the risk of T2DM. Many recent studies have shown that the morbidity and treatment of T2DM are significantly related to the pattern and the circadian rhythm (CR). However, there is still a lack of comprehensive knowledge of association between it and T2DM, and there are a lot of gaps in the application and efficacy evaluation of circadian rhythm therapy for T2DM. This review improves the understanding of the pathogenesis of T2DM and further clarifies the influence and significance of CR on glucose metabolism, provides prevention and treatment options for T2DM. And promotes the application and progress of circadian rhythm therapy in the treatment of T2DM based on the effect of CR to T2DM.
Regulatory Role of ECM Biophysical Signals on Cell and Nuclear Mechanics: A Bibliometric and Visualized Study
Authors: Teng Fei , Wang Zhiqiang , Jiang Yuequan
Published: July 2023

Bibliographic and visualization tools can be used to reveal information from a massive amount of literature data. A bibliographic search of original articles published in English in the Web of Science Core Collection (2013–2022) using the terms extracellular matrix (ECM), cell mechanics, and nuclear mechanics. We conducted a bibliometric analysis upon which we reviewed their focus, summarized present research, and identified trends in academic research using the Bibliometrix package in R Software and CiteSpace software. In this study, we examined the current state of collaborative research on the regulatory role of ECM biophysical signals in cell and nuclear mechanics. We also examined the top 20 authors to gauge their influence. An analysis of dual maps was also used to reveal the connections among several disciplines. Moreover, the historical direct citation network revealed how the content of such research changed over time. Furthermore, disciplinary burst analysis has highlighted the evolution of ECM biophysical signals in cell and nuclear mechanics studies over the past few years, while keyword density visualization has been used to pinpoint research hotspots. Researchers can utilize these results as a guide to explore topics or concentrate on a particular area of study.
Genome-wide mining and comparative analysis of microsatellites in five domestic birds
Authors: Li Xing Yue , Wang Hao Xiang , Ou Lan
Published: July 2023

Microsatellites are widely present in the gene sequences of most species and are closely associated with genome structure, function and certain diseases. To identify microsatellites in five domesticated bird species, we searched and compared Amazona aestiva, Aaes; Myiopsitta monachus, Mmon; Acridotheres tristis, Atri; Anas platyrhynchos, Apla; Gallus gallus. Perfect microsatellites (P-SSR) with nucleotide lengths between 1 and 6 in the Ggal gene sequence were identified. A total of 101,395, 171,161, 226,953, 458,231 and 272,487 P-SSRs were identified. the most common perfect SSRs were single nucleotide SSRs. the next most common SSRs for Aaes, Mmon and Apla were tetranucleotides (11.30%, 15.22% and 15.62%) the least while for Atri and Ggal they were pentanucleotides (23.67% and 19.57%) and the least were dinucleotide SSRs (5.75%) and trinucleotide SSRs (5.89%), respectively. In the GC content statistics for all SSRs, the total GC content accounted for 1.95% (Aaes), 3.19% (Mmon) 29.71% (Atri), 16.73% (Apla) and 27.39% (Ggal) of the total length of SSRs, respectively. The GC content of almost all types of SSRs was higher than that of the whole genome, except for single nucleotide SSRs, and the lowest GC content was found in single nucleotide SSRs. and, the single nucleotide GC content of Ggal (11.89%) was 45 times higher than that of Aaes (0.26%). The comparison of several aspects of the distribution frequency of SSRs, GC content and repeat sequences of nucleotides showed that the microsatellite distribution characteristics in the five species differed significantly between species. The above results and data reveal differences among the five bird species at the genomic level and genetic diversity of species in domesticated birds. Our data will contribute to comparative genome mapping, understanding the distribution and genomic structure of SSRs among these animal models, and laying the foundation for further development and identification of more domesticated bird-specific SSRs.
Quantifying Heatwaves’ Contemporary Association with Continental Biodiversity
Authors: Mu Zijun , Huang Zinian
Published: July 2023

In recent years, extreme high temperature events have created great threat to humanity and socio-economy. However, a comprehensive evaluation on the degrees to which ecosystems are affected by heatwaves is yet to be fully resolved and becomes a hot-spot in climate and ecological research. This study aims to quantify the relationship between global heatwave occurrence and environmental indicators such as continental biodiversity quantified by the Living Planet Index, thereby generating a way to understand the extent to which future heatwaves may impact the planet. Analyzing global meteorological data from the last 43 years (1980-2022), heatwave definition is standardized to daily maximum temperatures over the 90th percentile (threshold), with a consecutive occurrence of at least three days, in the 1981-2010 climatological period. A significantly strong, negative correlation (coefficient of determination=0.766) between the occurrence of the standardized heatwave and continental biodiversity is established through Pearson correlation analysis and linear regression, followed by Student-t test. This research provides the scientific community a better comprehension to the variability of heatwaves during the past decades over global continental regions. Through diagnosing the heatwave-biodiversity relationship and the underlying mechanism of how extreme temperature events impact ecosystems, this research will shed light on a better solution to alleviate the impact of heatwaves on biodiversity, or better, to alleviate global warming purposefully.
Study on the Particle Precipitation Phenomenon Based on the Boycott Effect
Authors: Du Guangjie , Liang Senhao , Fang Xing
Published: July 2023

There is a well-known Boycott effect in particle precipitation. In order to further study the Boycott effect, this passage first analyzed the force on the particle, drew a diagram of the liquid flow consistent with the actual situation, and analyzed its settlement process from the perspective of dynamics. Based on the PNK theoretical model, this passage derived the proportional relation function between the average settling velocity  and the vertical settling velocity , and obtain the relationship between the settling velocity and several variables. These variables include particle concentration range, particle radius, solvent viscosity coefficient, initial solvent volume concentration, container tilt angle, etc. According to this formula, passage designed related experiments to analyze the conditions of settlement strengthening effect, so as to further clarify the applicable conditions of settlement strengthening effect. It can be seen from the passage’s work that the experimental data is in good agreement with the theoretical value, which proves that this passage’s theory is very valuable, and this work also provides a certain reference value for industrial sewage settlement and river sand treatment.
The Association Between Australian’s Dietary Pattern and Risk of Cardiovascular Disease
Authors: Chen Ziqi , Liang Minxin
Published: July 2023

In Australia, one of the top three causes of death is cardiovascular disease (CVD). For those who already have or are at risk for CVD, a healthy dietary pattern is a critical CVD prevention strategy. Following a diet that complies with the healthy eating guidelines of the Australian government can lower the incidence of cardiovascular disease in Australians. Thus, this study will analyze nutrient, food groups, diet pattern, socioeconomic states of Australian and how they relate to CVD risk as well as other CVD risk factors such as high blood pressure, dyslipidemia, type 2 diabetes mellitus, obesity, and overweight. This study found that low socioeconomic Australians are more likely to have low levels of diet and are at higher risk of cardiovascular disease. In addition, the majority of Australians consume nutrients and food groups that do not meet Australia's healthy eating guidelines, and long-term adherence to this unhealthy diet have a greater risk of developing cardiovascular disease.
Degradation of lignocellulose by fungi based on differential equation
Authors: Yang Zhiheng
Published: July 2023

In this paper, we studied the decomposition of plant materials and lignocellulosic fibers by fungi, and the relationship between some characteristics of fungi. And established several mathematical models to solve the problems raised in the problem. Firstly, in the case of the coexistence of different fungi, ignoring the interaction between them, we use differential equation and Monod equation to establish the model. In the model, the decomposition rate of each fungus to plant materials and lignocellulosic fibers at a different time and the mycelial elongation rate of the fungus itself can be obtained. In the model solving, the ode instruction is used to solve the differential equations, and the variable step Runge Kutta Feldberg method is used to improve the accuracy. Then we considered the interactions between different fungi: mutual promotion and mutual inhibition. Different fungi have different moisture tolerance, so they have different decomposition rates of plant materials and wood fibers. By using logistic law, our model can describe the decomposition ability of different interactions between fungi to decompose lignocellulosic fibers. After solving the model, it is found that the fungi that promote each other are the fastest, the fungi that do not affect each other are the second, and the fungi that inhibit each other are the slowest, that is, the decomposition rate is the smallest.
Study of the effect of experimental conditions on atomic layer deposition of aluminum nitride films
Authors: Sun Yuandong , Ni Peijun , Zhang Lijun , Kang Jingjie , Wang Ruolan , Zhao Tianhao
Published: July 2023

AlN is an extremely chemically stable material that can withstand high temperature impacts and can be used as a coating against high temperature oxidation. In this paper, AlN films were grown on Si (111) substrates using pulsed chemical vapor deposition with a metal-organic source and ammonia as precursors followed by high-temperature in situ annealing and material physical characterization. The effects of temperature and plasma source on the AlN films were investigated, and it was concluded that the higher the temperature, the higher the growth rate of the AlN films and the lower the oxidation level. The plasma source pulsed mode showed higher growth rate and stronger aluminum signal, but its oxidation level was also higher. The plasma source normally open mode has a more desirable nitrogen signal.
Research on glass products classification based on machine learning
Authors: Luo Wenhao , Lu Yao
Published: July 2023

In order to analyze the classification rules of ancient Chinese high-potassium glass and lead-barium glass and select the appropriate chemical composition for each category to divide them into subcategories, this paper models the type and chemical composition of glass by random forest algorithm, divides the data by 3:7 and uses 3-fold cross-validation, and uses Accuracy, Recall, Precision and F1-score to evaluate the model after training, and the results are optimal. The strongly correlated chemical components under each glass category were obtained by using the K-Means clustering algorithm, and the clustering results were visualized by using unsupervised learning, and the subclass division results were better when k was taken 2 after visualizing different cluster data. Finally, the results of subclassification are visualized and the rationality and sensitivity analysis of the method are carried out, and it is found that the method is accurate.
The Advance of GPTs and Language Model in Cyber Security
Authors: Gao Mingze
Published: July 2023

Nature language processing (NLP), one of the most remarkable machine learning techniques currently available, is gaining traction with the public and has achieved great success in many applications. Many companies have developed language models, such as BERT, BART models from Google, and GPT (generative pre-trained transformer) series models from OpenAI. GPT is an unsupervised learning model that generates responses and uses unsupervised pre-training and supervised fine-tuning. GPT-2 is a multitask unsupervised learner that completes tasks using an unsupervised pre-trained model, including a zero-shot setting. GPT-3 extends the few-shot learning approach introduced in GPT, which does not require any gradient updates or fine-tuning for specific tasks. InstructGPT focuses on the alignment that could fit human intention by fine-tuning with human feedback. The outputs of InstructGPT significantly improved in truthfulness and were slightly less toxic than GPT-3, but bias and simple mistakes still existed. This paper aims to provide a detailed overview of the technical advancements utilized in GPT, GPT2, GPT3, and InstructGPT, explore the techniques in different models, and focus on the applications in the cybersecurity aspect. This paper compares the upgrade of GPT models and summarizes the SecureBERT model’s effects on cyber security.
Human Trespass Detection Based on Lightweight YOLO-v5 and RNN in Restricted Area
Authors: Tian Ligen , Wang Yaoqing
Published: July 2023

Trespassing endangers the security of individuals and property, disrupts social order, undermines social trust and increases the number of social groups used to maintain social order. In this paper, a new contribution as a method to combat trespassing which involves the monitoring of human behavior for prediction is presented. This method includes two parts: image and text description. In this work we investigate lightweight human behavior detection models based on YOLO-v5 and RNN. We use the same dataset for different models and study various model metrics (e.g., model accuracy and running speed) to compare the performance of different models. For image and video, we used pruning algorithm to lightweight the YOLO-v5 model while ensuring accuracy. For text description, we used different Image-Caption (RNN and CLIP) models to describe human behavior. Finally, corresponding validation experiments were implemented to validate the method proposed in this paper.