bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis and determination of dissociation equilibrium constants of novel metal chelating agent against Alzheimer's disease
Authors: Cao Lianjun , Ouyang Yifan , Huan Feng , Chen Yan , Wang Jiwei , Reheman Aikebaier
Published: March 2023

In this paper, we have synthesized a new metal chelating agent HPM and characterized it by NMR, IR and LC-MS/MS measurements. The HPM obtained three pKa values: pKa1=3.1988, pKa2=4.4157 and pKa3=9.0091. The pKa1 is due to the carboxyl group on the C11 position, the pKa2 is due to the hydroxyl group on the C6 position and the pKa3 is due to the NH2+ on the N8 position.
A comparative study of the clinical effects of delayed versus immediate restoration of dental implants after traumatic tooth injury
Authors: Xu Yingjie , Meng Fanwen , Yang Dezhao
Published: March 2023

Objective: To compare and contrast the effect of delayed restoration and immediate restoration on the restoration after dental trauma. METHODS: Ninety patients with dental trauma admitted to our hospital from June 2021 to June 2022 were selected for the study and randomly divided into delayed group (n=45) and immediate group (n=45), which were treated with delayed and immediate dental implant restorations, and then compared the restorative effect, treatment period, aesthetics and complications of the two groups. Results: After the restoration, the restorative effect, treatment period and aesthetics of the immediate group were significantly better than those of the delayed group and the comparison was statistically significant (P < 0.05). Conclusion: The immediate restoration had better restorative effect than the delayed restoration, shorter treatment period, lower complication rate, and could improve the aesthetic appearance of teeth, which is worth promoting.
Intestinal Microbiomes In Gastrointestinal Cancer
Authors: Liu Jiahao , Lin Zitian , Zhao Yiran
Published: March 2023

The intestinal flora, a crucial system of microorganisms in the human body, is crucial to the immune system, metabolism, and inflammatory response of the body. The intestinal flora is one of them, and as a crucial element of the gastrointestinal microecology, it has a significant impact on the development and spread of gastrointestinal cancer as well as its management. The study of intestinal flora has become more in-depth recently as a result of the quick advancement of high-throughput sequencing technology, and the role of intestinal flora in the development and prognosis of gastrointestinal cancer is becoming increasingly obvious. In this article, the key topics covered include the links between Helicobacter pylori and gastric cancer, as well as the relationship between Fusobacterium and colon cancer, and discusses the mechanism by which intestinal microbes affect the treatment of gastrointestinal cancer. The link between gut microbiota and gastrointestinal cancer was further clarified, and the regulation of gut microbiota was proposed as a new management method for the clinical gastrointestinal cancer treatment.
Advantages and Disadvantages of Car-T Therapy in the Clinical Treatment of Diffuse Large B-Cell Lymphoma (DLBCL)
Authors: Guo Kaiyuan
Published: March 2023

Chimeric antigen receptor T-cell (CAR-T) therapy is a new innovative cancer treatment. In recent years, many clinical studies have demonstrated its efficacy in the treatment of DLBCL. Compared to many existing cancer treatments, CAR-T therapy offers many advantages. For example, unique specificity and excellent efficacy in patients with refractory and recurrent tumors. This article focuses on the application of CAR-T in the treatment of DLBCL and analyzes the advantages and disadvantages of this therapy from multiple perspectives. The advantages of CAR-T therapy are discussed in three aspects: CAR-T for relapsed and chemotherapy-resistant patients, CAR-T cell’s distinctive specificity and ideal treatment outcome. Then, the three most representative limitations of CAR-T therapy are analyzed in this article: antigen escape, antigen-positive relapse, and toxicities. Finally, the article points out the promising future of CAR-T therapy.
Based on immune checkpoint inhibitor to improve cancer treatment
Authors: Chen Yijin
Published: March 2023

Different kinds of cancer normally have enormous prognosis according to its kind and different therapeutic methods. Sometimes use approprete treatment can get better prognosis, tradinional therapeutic such as chemotherapy, radiotherapy are notsuitable for some patients. Cancer cure is always a hot issue for scientists to think about, as growing population of cancer patients every year. Immune checkpoint therapy (ICT) has a significant advantage for its high accuracy. For patients with immune system related kind of cancer are most likely to benefit from its high precision. NSCLC patients, TNBC patients and people who got HER2-positive advanced gastric cancer thes specific types of have different reasons for bad result, but the basic factors are low response to chemotherapy. As treatment for some types of cancer has encountered with block, some types are hard to react to chemotherapy and some have lower mOS. Some patients have badly side effects compare with other, and the drug-fast problem is significant. For better result scientists believe ICT can activated immune system and keep its natural power in killing cancer cells. As more combination therapies of ICIs proposed in the future cancer patients are diffinatly have more chance. In conclution, ICT is a powerful way to heal cancer patients, and for many sevier patients this maybe their best chiose. ICT still need futher improvement to deal with more different kinds of cancer and reduce the side effects that it causes but its high efficiency is a good news for people who got cancer.
Breast Cancer and Human Epidermal Growth Factor Receptor 2: Overexpression and Related Drugs
Authors: Wang Yuyang
Published: March 2023

As a prognostic and predictive biomarker of some illnesses, overexpression of HER-2 is seen in roughly 15–30% of breast cancers (also known as BC), 10–30% of gastric/gastroesophageal cancers, and many other types of cancers. Since the overexpression of HER-2 occurs in many types of cancers, the relationship between HER-2 and the diseases urgently needs to be illustrated and corresponding drugs and treatment schemes need to be developed. Up to now, several HER-2-targeted drugs are in use and have become an important part of standard treatment options, including but not limited to Trastuzumab, Pertuzumab, Margetuximab, Trastuzumab Emtansine(T-DM1), etc. Given the high mortality rate and connection between HER-2 overexpression and BC, many of these drugs are used in the treatment and prognosis of BC. Here in this article, a review of the latest studies about the relationship between BC and HER-2 and a simple introduction of them were made and what is most important is that some related drugs targeting HER-2 together with their development were also listed.
Comparing Effectiveness of Western Protein-Based DMARDs and Traditional Chinese Therapies for Treatment of Rheumatoid Arthritis
Authors: Chu Shixin
Published: March 2023

Rheumatoid arthritis (RA) is a common autoimmune disease that causes complex immune responses. The pathogenesis of RA is complicated by the involvement of multiple cells, including innate and adaptive immune cells, making treatment difficult. Traditional Chinese medicine (TCM) and therapies differ from western protein-based drugs in the treatment of RA. When several Chinese herbals are normally used to treat RA in TCM, they are primarily targeted at some pro-inflammatory cytokines, such as interleukin 6 (IL-6) and interleukin 1 (IL-1). This project is investigating the mechanisms of several TCM and protein-based drugs. The effectiveness of traditional Chinese therapies such as acupuncture, tuina, and Chinese messages is also evaluated. Besides, the adverse effects and toxicity of researched drugs are listed, and the combination of Chinese medicines and modern pathologies are discussed, aiming to evaluate the effectiveness of TCM for treating RA using modern technologies and medical procedures.
The Research of Factors of Hypertension
Authors: Hu Yipeng , Wang Shaodan
Published: March 2023

The aim was to predict which group of people would have blood pressure problems. A random sample of 1000 people were used to investigate hypertension problems according to logistic regression. This project is to use logistic regression prediction technology to predict and analyze which group of people will have blood pressure problems by analyzing historical data such as age and weight. The independent variables are age and weight, and the dependent variables are 0 or 1 whether you have a blood pressure problem. Based on the Kaggle data set provided by a medical insurance company and the logistic regression model, we established an instance classifier of object logistic regression for calculation, and finally obtained the weight of independent variables, to roughly understand which factors are risk factors of hypertension. This weight can also be used to predict a person's likelihood of hypertension based on risk factors. We show that older and younger adults with high body weight are more likely to develop high blood pressure than the rest of the population. Excess body weight was strongly correlated with hypertension.
Research on the Propagation Path of Traditional Chinese Medicine Culture in Brazil
Authors: Wang Ruotong
Published: March 2023

Different societies and cultures have different cognitions on the causes of diseases. People generally interpret the body structure and deal with various clinical phenomena according to the concepts, symbols and diagnosis and treatment plans accumulated and internalized in their social and cultural experiences. Therefore, social representations of health and disease are associated with the perceptions of life and society of individuals in different cultures, which can explain the positive response of Brazilian society to the new concept of treatment brought about by TCM culture. Trends develop over time. Globalization has continuously deepened the degree of cultural exchanges between countries. After decades of precipitation, the promotion of Chinese medicine culture in Brazil has formed a relatively mature transmission path.
SARS-COV-2 Spike Protein: Characteristics and Treatments
Authors: Chick Ming Chit Calvin
Published: March 2023

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the family of beta coronavirus. The virus led to the outbreak of COVID-19 in early 2020. Characterized by its Spike (S) proteins, SARS-CoV-2 can recognize the human angiotensin-converting enzyme 2 (ACE2) receptor. Viral membrane fusion is initiated by the interaction between the S protein and the human ACE2 receptor. Due to its crucial role in receptor recognition, the S protein attracted great interest in being a drug target. The structure and functions of different domains of the S protein are presented in this article. Current progress in therapeutic compounds which targets the Receptor Binding Domain (RBD), Heptapeptide repeat sequence (HR) and the Fusion Loop (FL) domain are highlighted. Acquiring information on the S protein from a structural perspective and understanding treatment opportunities against SARS-CoV-2 will assist in combatting the disease.
Long COVID Clinical Manifestations
Authors: Wei Lantian
Published: March 2023

People are becoming more aware of the complications and sequelae that can occur as COVID-19 research advances. These complications and sequelae are referred to collectively as "Long COVID" (Long COVID-19). This paper summarizes the clinical manifestations of Long COVID and sequelae observed in the respiratory, neurological, circulatory, digestive, and other affected systems caused by Long COVID through an extensive review of clinical studies published in recent years, with the goal of raising awareness of the importance of Long COVID patients and informing the development of a comprehensive treatment system for COVID-19 patients.
Multiple cancer treatment advances with CAR-NK
Authors: Wu Haolin
Published: March 2023

In the 21st century, cancer therapy has entered the era of combination therapy. The elucidation of immune system mechanism and the further development of cell culture technology pave the way for the application of immunotherapy in cancer clinical treatment. Chimeric antigen receptor technology is to form a chimeric antigen receptor by splicing the antigen binding region scFv with the intracellular part of CD3ζ chain or Fcεriγ. At present, it has developed into the fourth generation of promoters that can selectively label and encode CARs amplification and suicide. In the course of years of research on CAR-T therapy, it has proved that NK cells with CAR modified have better efficacy in solid tumors and hematological tumors, with fewer side effects and stronger targeting. In recent years, CAR-modified NK cells have become a new approach to cancer in immunology. In this technology, the selection of tumor-related target proteins is very important for the therapeutic effect. Nevertheless, with the in-depth analyse of its related intrinsic machinery, the influence of microenvironment on it and the source of amplification, some issues remain to be further discussed. This article mainly summarizes the recent progress of pre-clinical and clinical trials on CAR-NK. Preclinical trials were mainly Ovarian Cancer, Glioblastoma GBM and Breast Cancer. The CAR selection and construction method of each trial were described in detail. The clinical trials section discusses several advanced trials, such as those on PD-L1 CAR-NK and NKX019, and summarizes several ongoing trials. This article reviews the progress of CAR-NK technology in recent years, aiming to summarize the advancement of CAR-NK cell, provide reference for further improving the specificity, cytotoxicity and efficacy of this method, and provide ideas for the expansion and crossover of related fields.
Toxics in cosmetics: chemical properties, impact mechanism and clinical cases derived from major chemical components
Authors: Jin Guanhao
Published: March 2023

From pure natural ingredients to synthetic product, cosmetics have been used for centuries. To pursue beauty, the appearance of cosmetics is almost as old as the appearance of civilizations. People use various cosmetics, like nail products, hair products, perfumes, lipsticks, face creams, which could contain toxic substances that are detrimental to human health. Modern society drives people to pay more attention on their appearance, brings more concern about how to balance the perusing beauty with cosmetics between the potential harmful side effects along the use of cosmetics. Therefore, toxin substances from cosmetics should be understood when purchased by consumers. Current study talks about the four major types of toxic substances in cosmetics focusing on the precise chemical properties, biological mechanism as well as the following damages these toxins could cause. People should be reasonably alarmed and aware the potential risks when using cosmetics containing these toxins.
Study on Data Augmentation Method for Brain Tumour Detection
Authors: Li Yuxuan
Published: March 2023

Brain tumours are very dangerous diseases in the world. Brain tumours will cause people to lose their brain function and the survival rate of having brain tumours is low. The characteristics of brain tumours are very complex, so, the accuracy of manual classification to classify benign and malignant brain tumours comes with low accuracy. In this case, the classification method with the use of machine learning (ML) becomes significant since ML classification gets higher accuracy than manual classification. Among ML models, Convolutional Neural Networks (CNN) are widely used to classify brain tumour pictures. In ML, strong models have more parameters and more data are required to train those parameters. However, datasets may not be big enough to train the model. Therefore, few-shot learning methods are proposed to increase the accuracy of the model. In this study, three different methods of data augmentation are used to augment 3,000 pictures’ brain tumour datasets. The codes are successfully run, and the graph of accuracy is exhibited. In this article, the result of the study shows that the cutout method implemented in data augmentation performs the best in detecting brain tumours.
Development and Clinical Application of CAR-T Therapy
Authors: Chen Mengfei , Li Haoze , Wu Yinxuan
Published: March 2023

The problem of cancer is becoming more and more serious. As of 2021, the global of cancer patients has reached 14 million. Now how to treat cancer has become one of the key research topics. To treat cancer, people have found many cure methods, like salvage chemotherapy, radiotherapy, cytotoxic chemotherapy, and so on. But these therapies can only delay the patient's life. They cannot cure cancer. People want to find a therapy to completely empty the cancer cells. Until 1989, scientists have found a way to engineer T-cell called Chimeric antigen receptor T cell (CAR-T) to attack cancer cells, CAR-T therapy now has four generations. Good results have been achieved in the treatment of B-cell malignant lymphoma. However, CAR-T treatment in the area of solid tumors now still has many challenges. Therefore, the topic of this article is based on this structure of CAR-T cells, The development of CAR-T cell therapies and clinical application of CAR-T to reveal advantages and disadvantages of CAR-T treatment in cancer.
The conclusions from COVID-19, The characteristics of the next pandemic and preventive measures
Authors: Zhou Changzhi
Published: March 2023

The COVID-19 pandemic has had a huge impact on people's lives, and as we come to the end of this pandemic, we have learned a lot from it. It is important to predict the characteristics of the next pandemic and take preventive measures, and we should take multiple measures to mitigate it.
The next Disease X pandemic will come
Authors: Yan Jiaqi
Published: March 2023

The COVID-19 outbreak in 2020 is a serious public health event in human history. It is a viral pneumonia caused by the novel coronavirus, with strong transmission and high concealment, and has caused a global pandemic. At present, the situation of control of COVID-19 tends to be stable. We can finally relax from the intense battle, reflect on the disaster, summarize experience and look forward to the future. COVID-19 has not only brought tens of thousands of deaths, but also promoted the progress and development of human science and technology. Countries have learned valuable management experience from COVID-19, which is beneficial to human development and progress. But we must not take it lightly. We must learn to apply knowledge to prevent the occurrence of the next pandemic. No one knows whether mankind can withstand the next disaster. This paper summarizes the experience and lessons learned from COVID-19, and predicts the occurrence of the next pandemic disease due to glacier melting, aiming to warn people to pay attention to glacier microorganisms and protect the environment.
CAR-T cells therapy: a potential new strategy against prostate cancer
Authors: Yang Shanglin
Published: March 2023

There have already been some therapies for cancer, but further research is still in urgent need to effectively treat prostate cancer. Chimeric antigen receptor T (CAR-T) cells therapy is a popular new therapy to treat tumor, although it is mostly in the clinical research stage except for a few specific applications. Prostate cancer is a type of malignancy tumor in man occurring frequently. It has the second highest incidence in man and the fifth highest fatality rate worldwide. At present, the main treatment for prostate cancer includes reduce the androgen concentration of patients through drugs, operation to remove prostate tumor, pelvic radio therapy and chemotherapy. On how CAR-T works to treat prostate cancer, more study is currently being done. This review introduces the structure and the feasibility of CAR-T as a means of treating prostate cancer due to the research of three antigens which have prostate specific (prostate specific membrane antigen, prostate stem cell antigen and epithelial cell adhesion molecule) and discusses their application in prostate cancer.
Current drug treatments in Alzheimer’s disease
Authors: Pan Rouan
Published: March 2023

Alzheimer's disease (AD) is a long-lasting, degenerative neurological condition that causes deterioration of memory, cognitive and metal decline, it is the most prevalent and leading cause of dementia.  Alzheimer's disease currently has symptomatic therapies, but there are still ongoing studies looking for ways to treat the illness itself. Deposition of Aβ and tau, inflammation, oxidative stress, and neuronal fiber tangles are the main causative mechanisms leading to Alzheimer's disease, therefore the prevention on them can effectively alleviate symptoms. To date, existing treatments have only been symptomatic, attempting to balance the neurotransmitter disorders of the disease. This review systematically summarizes and discusses a range of drugs that are currently available on the market, including cholinesterase inhibitors and glutamate receptor antagonists, natural medicines with anti-antibody, antioxidant, and anti-inflammatory properties, such as Chinese medicines "Di Dan Decoction", Ginkgo biloba, and Huperzine A, as well as promising therapeutic modalities that are currently undergoing clinical trials.
Performance Analysis and Lightweight Design of Steering Knuckle of Formula Student Racing
Authors: Mao Zhangzhe , Ma Longtian , Guo Loufei , Wu Jianming
Published: March 2023

In this paper, the FSC Formula car ELSA of Wuhan University of Technology in 2020 is taken as the research object. On the premise of complying with the requirements of 2021 China Formula Student Car Competition Rules, CATIA modeling software is used to complete the model establishment and overall assembly of the steering knucle. It is imported into the finite element analysis software Ansys for grid division and static analysis, analysis of the stress and strain of the steering knuckle, and based on this, the structure design of the steering knuckle. In order to meet the performance requirements of the competition, lightweight design should be carried out as far as possible.
Heat Dissipation Design of Power Battery Module Based on Air Cooling - Semiconductor Refrigeration
Authors: Xu Yinghao , Liu Zhien , Zhang Shenghan , Li Zhenghao
Published: March 2023

In order to ensure that the soft package power battery can work stably for a long time under the condition of large discharge rate, the heat dissipation of the soft package power battery module is optimized based on the semiconductor thermoelectric effect. Based on the establishment of a traditional air-cooled heat dissipation model and air-cooled-thermoelectric cooler heat dissipation model and ANSYS simulation comparison, the maximum temperature difference, maximum temperature and average temperature of the battery module are analyzed. The optimized simulation results show that the temperature control of the battery module by air cooling-thermoelectric cooler can effectively reduce the temperature difference and the maximum temperature of the battery module. The method significantly improves the heat dissipation performance of the battery module.
Treatment Strategy for Parking Problems in Large Cities
Authors: Tang Ruiyao
Published: March 2023

With the development of urbanization, the number of motor vehicles has increased rapidly, and the problem of parking difficulty has become the main problem on the way to the healthy development of urban traffic. Especially in the central areas of large cities, the contradiction between supply and demand is prominent due to the dense population and the lagging construction of parking facilities. Such problems are rapidly emerging in large and medium-sized cities, which have a negative impact on the social and economic development of cities. This paper mainly analyzes and studies the physical mechanism of parking, the contradiction between supply and demand, parking management and other aspects, and puts forward solutions. Taking Ningbo as an example, this paper proposes a parking governance strategy for large cities, clarifies the goal orientation of the governance strategy, proposes supporting policies, regulations, and management systems, and proposes three governance strategies: parking supply strategy, parking demand management strategy, and parking management strategy, providing new ideas for large cities to create a new pattern of urban parking management featuring joint construction, governance, and sharing.
Applications of Large-eddy Simulation Method for Flow Prediction of Internal Combustion Engines
Authors: Ma Tianyi
Published: March 2023

Due to the rapid development in the field of computer science, the computational power has increased exponentially. Computers these days have become convenient tools for all industries, including car manufacturing industry. Car manufacturers use computers to simulate the conditions under which car components are working in order to see the performance. Large Eddy Simulation (LES) is a kind of computational fluid dynamic method to examine the states and morphologies of fluid like fuels within different car components. LES has been extensively used in predicting the internal flow of the internal combustion engines. This paper summarizes the related applications of the improved version of LES, error predicting scheme for LES and the effectiveness of similar simulating method in the performance prediction of engines. The mechanisms, advantages, drawbacks, improvement, and application of LES and related methodologies are concluded, providing a helpful summarization for other researchers who want to obtain a general knowledge on LES and wish to contribute on fluid simulation.
E-mail Spam Classification using KNN and Naive Bayes
Authors: Ouyang Qianhe , Tian Jiahe , Wei Jiale
Published: March 2023

E-mail spam filtering is becoming a critical and concerned issue in network security recently, and multiple machine learning techniques have been applied to tackle such sort of classification problem. With the emerging of machine learning framework, most of the tasks has been changed via the effective machine learning algorithms with satisfying performance and high speed. However, the underlying performances of different algorithms under certain given circumstances still lack of an intuitive demonstration. Hence, this study mainly focuses on the performance of two widely-used algorithms (KNN and Naive Bayes) from metrics including accuracy and running time, comparing the unique advantage of each algorithm when classifying emails. The paper uses thousands of spam data to feed two algorithms and analyzes both results respectively, indicating that KNN classifier performs better when determining the spam messages while the opposite is true for the Naive Bayes classifier. Thus, designers can pick an appropriate algorithm easily when dealing with spam filter issues under a given dataset whose features and properties are known.
Studying the Exoplanets HAT-P-56 b and HATS-36 b with Kepler
Authors: Liu Kunyang
Published: March 2023

Exoplanet has become one of the most popular research subjects in astronomy. This study analyzes light curve data from the K2 mission of the Kepler space telescope and measure the properties of two exoplanets, HAT-P-56 b and HATS-36 b. With the transit method, the radii are obtained, orbital periods and semi-major axes of these two exoplanets. For HAT-P-56 b, the period is , the radius is  and the semi-major axis is . For HATS-36 b, the period is , the radius is  and the semi-major axis is . Compared to previous studies, it is found that radii and semi-major axes measured in this paper are consistent with their results, whereas the calculated orbital period is a bit bigger. In addition, the large radii and short orbital periods suggest that both exoplanets are Hot Jupiters. These results shed light on the exploring of the exoplanets around the two host stars, HAT-P-56 and HATS-36.
Transition from complex numbers to complex function and series.
Authors: Wang Xiling
Published: March 2023

Complex analysis, traditionally known as the theory of functions of a complex variable, is a branch of mathematical analysis that investigates functions of complex numbers. If n is odd, there is only one order n root, and if n is even, there are only two order n roots. Things change in complex numbers, though. Keep in mind that complex numbers have closed algebra. As a result, there exist n roots of order n always.Dating back to the 16th century when Italian mathematicians Girolamo Cardano and Raphael Bombelli first observed complex numbers when they were trying to solve a certain algebra and developed by Cauchy and Riemann in 19th century, complex analysis nowadays has played a more and more importance role on mathematics, physics and engineering, especially in the fields of algebraic geometry, fluid dynamics, quantum mechanics and so on. In this paper, the birth and discovery of complex number will be discussed. Starting from discovery of complex number, the properties of complex function and power series are elaborated which are foundation for mordern mathematical conjectures.
Attention-Aware CNN for Fruit Image Classification
Authors: Geng Wenjia
Published: March 2023

Fruit image classification has significant potential value in agricultural harvesting and commercial fruit trading. However, the wide variety of fruits and their complex and diverse properties make the fruit image classification using computer vision techniques with high accuracy still challenging. This paper aims to introduce attention mechanism into the convolutional neural networks to improve the models' accuracy for the classification and explore the impact of the convolutional block attention module (CBAM) implementation before and after convolution layers on model performance. Firstly a 16-layer CNN model called BasicCNN was built. Secondly, two models named BasicCNN+CBAM_v1 and BasicCNN+CBAM_v2 were built by adding CBAM layers before the first convolution layer and after the convolution layers of the BasicCNN. Then a test set was created called Real-world, containing more diverse fruit images than another open-source dataset, Fruit360, that was also used in this research. Lastly, the three network models were trained and evaluated using two datasets, Fruits 360 and Real-world. Among the tests on the Real-world test set, the accuracy of BasicCNN(16.67%) was much lower than that of BasicCNN+CBAM_v1(48.89%) and BasicCNN+CBAM_v2(46.73%). Moreover, BasicCNN+CBAM_v1 also achieved the highest accuracy on Fruit360 datasets. The results show that the CNN model obtains a performance improvement when the CBAM is added and that implementing the attention mechanism before the convolution also allows the model to achieve better performance.
Analysis of the detection principle and state-of-art results for FAST
Authors: Cai Xinyu
Published: March 2023

Universe has always been mysterious and attractive for human beings. In the early stage of human civilization, plenty of hypothesis were made by people according to the daily observation of the sky. Ancient people discovered the rules for measuring time, weather, climate and even orbiting by seeing how the appearance of sky changed. However, these discoveries largely depend on the naked eye ability and wisdom of ancient people. The invention of the astronomical telescope helped people to observe the space directly by enlarging the image of the celestial body. Since then, people received a more comprehensive information about the universe and a more accurate universe cognition. This paper will discuss the FAST telescope located in China. There will be an introduction of the structure, ability, use, limitation and future outlook of the FAST telescope. It is concluded that FAST is a multifunctional telescope based on the detection of radio. There are many advantages yet a few places still have room to improve. Some outstanding detection outcomes were achieved by FAST. This article mainly analyzes the structure and use of FAST and will also point out the aspects which can be improved on the structure. These results shed light on guiding further exploration of telescope.
Residue Theorem and Its Application
Authors: Chen Yiling , Lu Yinhan , Wang Zimo
Published: March 2023

Sometimes it can be frustrating to get the anti-derivatives of some functions. Some definite integrals are difficult, or even impossible, to calculate using the elementary calculus method, especially in the field of complex analysis. In such cases, Cauchy's Residue Theorem might be proper. In this article, we state the difference between Cauchy's Integral Theorem and the Residue Theorem, followed by the definitions of isolated singular point and residue with some examples given after. These are prerequisites for understanding the theorem. A short statement of the content of Cauchy's Residue Theorem has been made, according to which the integral of a function along a positively oriented simple closed contour is related to the residues, which can be obtained through Laurent expansion, of all the limited isolated singular points inside the contour. In addition, using the Cauchy-Goursat theorem, we developed the derivation of CR Theorem. It denotes that the value of a function around a simple closed contour is zero if the function is analytic at all points interior to and on that contour. Then we launch an application and accomplish it in two ways. The first method makes use of the Fourier Matrix, while the second is related to power series. In both of these approaches, we feel the efficacy of Cauchy's Residue Theorem.
An optimal model for selection of stops for bus routes in busy times: Based on General Transit Feed Specification
Authors: Zhu Qinglin
Published: March 2023

The bus routes model optimization dramatically influences the modern urban transport system because a better bus routes model could relieve traffic pressure, shorten the commuting time for citizens and effectively increase the number of people using public transport. This article proposes a new optimal model for bus routes during busy hours based on solving a linear programming problem, curtailing passenger travel time through a linear programming problem. It also helps solve traffic jams during busy hours and can act in different application scenarios due to its simplicity. Furthermore, this model was based on General Transit Feed Specification as much as possible to simplify the model and reduce the cost of its application, while at the same time, some alternative plans were discussed, which also pointed out the model optimizability.
Research on the Investment Value of Stock Exchange ETF in China Based on Factor Analysis and Cluster Analysis
Authors: Wei Zhaobei
Published: March 2023

A well-managed portfolio with thoughtful investment selection depends on the market. It is challenging to manually track share market prices because they fluctuate based on a variety of reasons. This article sorts out the traditional theory of domestic research fund performance evaluation, and selects 12 indicators suitable for analyzing ETF performance in China for factor analysis. The selected 629 sample funds are listed stock ETF issued from 2015 to 2020 and extended to 2022. Clustering methods used is k-means clustering with a Euclid distance and with shape-based distance measure. Factor analysis shows that the current ETF fund research indicators can be divided into 4 categories, namely income factor, anti-risk ability factor, management ability factor and volume factor. According to these three types of indicators, samples are grouped into 7 categories, and the study shows that most of the listed stock ETF funds have good risk diversification ability, and the performance of various funds varies greatly.
A New Simple Method of Simulating One Dimensional Quantum Problem Based on Lattice Point Concepts
Authors: Wu Yueyang
Published: March 2023

One-dimensional quantum problems have always been an important issue in various branches of quantum mechanics fields, and many quantum models can be idealized as one-dimensional potential profiles. Therefore, it is necessary to investigates the way to deal with and calculate the problems. This paper proposes a new and simple method for simulation and calculation of one-dimensional quantum problems. To be specific, by representing continuous X values by a series of discrete lattice points, the Hamiltonian matrix is constructed for the system in the way of dealing with monomer and many-body problems, so as to simply calculate the energy level distribution and draw the wave function image. In terms of simulating one-dimensional infinite deep potential well, one-dimensional finite deep potential well, one-dimensional multi-potential well and other one-dimensional quantum systems with this method, this paper shows that the method is accurate and practical. Compared with other methods for one-dimensional quantum problems, this paper also presents the superiority of this method. To deal with the problem based on such a method can save the computation cost and time cost, which is more convenient to study the one-dimensional quantum problem in the future. These results shed light on studying complex one-dimensional quantum problems conveniently.
Comparison of Performances for Quantum and Conventional Algorithms: Shor’s algorithm and Boson Sampling
Authors: Jia Shuangcheng
Published: March 2023

Quantum computing has been extensive popularity discussed recently. The foundation of quantum study is the investigation of how quantum computing shows its superiority compared with conventional algorithms. On this basis, this paper focuses on the comparison of the performances of quantum and conventional algorithms about the same relevant area. Two classic problems, factorization of large integer and boson sampling, are chosen to show the specific difference of related quantum and conventional algorithms towards the same problem. This paper specifically compares the performance of Shor's algorithm and other advanced traditional integer factorization algorithms for prime factorization problems and compares the processing capabilities of traditional algorithms and Gaussian Boson sampling for sampling problems. According to the analysis, for the same research problem, quantum algorithms show strong advantages over traditional algorithms in many performances, e.g., time efficiency, algorithm adaptability. It leads to a deeper understanding of quantum superiority and a further explanation of the significance of the development of quantum computing.
Complex Analysis and Residue Theorem
Authors: Li Chengze , Lin Yunhan , Xiang Shichen
Published: March 2023

Mathematics is knitted into our lives by laying the fundamental base of many things. But people still think it is unnecessary to study math deeply due to its complexity. A lot of the great work from mathematicians is not noticed by other fields. Among all the essential mathematical methods and theorems, the Residue Theorem is one of the most significant ones. Therefore, this article will interpret the Residue Theorem step by step with its related theorems. Before jumping into the Residue Theorem, the article will introduce a series of mathematical methods, including the Triangle Inequality, the Euler's Formula, the Analytic function, the Taylor Series, and the Laurent Series. The applications and graphs of these mathematical methods will help to understand them further. Consequently, this article will demonstrate the most crucial part of this article — the Residue Theorem by its definition, formula, and example. Last but not least, this article will finish with how the Residue Theorem is used in our wind power generation system to express further how math correlates to our daily life. The result of this article shows that the Residue Theorem can be used to help explain other theorems and to extend new mathematical theories. It can be used not only in mathematics but also in a lot of fields, such as computer science, physics, and engineering. This article hopes a more extensive population can acknowledge the contribution of math to our world through the Residue Theorem.
Factors Affecting the Design of 3D Game Scenes
Authors: Wu Disheng
Published: March 2023

With the rapid development of video games at present, 3D games as a big branch of games are also developing rapidly. Different 3D games vary greatly from each other. They bring different sensory experiences to players, game play and so on, but these contents set each other off and rely on each other. In every good 3D game, a good scene design is essential. However, the literature on 3D game scene design is scarce. Therefore, this article will analyze the influence of world view, art style, game genre and player experience on scene design, so as to bring some inspiration and guidance to the scene designers. At the end of the article, this paper concludes that there are many factors affecting 3D game scene design, not only the ones discussed in the article. In addition to the considerations mentioned in the article, a good scene designer should bring himself into the player's point of view. It is from the player's point of view that one can know more clearly what a good scene design is.
The Simplest Pharmacokinetic Equation in ADC (Antibody Drug Conjugate) or PDC (Peptide Drug Conjugate) Research
Authors:   Department of Organic Chemistry, Eotvos Lorand University, Budapest, Hungary, Park Heejin
Published: March 2023

It has been known that devising a suitable pharmacokinetic equation in ADC(Antibody Drug Conjugate) or PDC(Peptide Drug Conjugate) is exceptionally difficult as there are many factors which affect to distribution of this drug in vivo. Some address the three portions, antibody, linker, and drug can be differently behave in the bloodstream makes them difficult to monitor it. Also other issues like solubility, liphophilicity (cell penetration ability), molecular weight, ionization, enzyme degradation, renal clearance, aggregation, and poor adsorption arementioned as a big barrier to devise a delicate pharmacokinetic equation. Herein, the most simple mathematic pharmacokinetic equation could be argued with the following three hypotheses in ADCs or PDCs development; all drugs are attached only the target cells not any other sites till their complete function, the speed of drug working is constant with time, and all cancer cells have equal shape, mass, and size placed in a list of petri dishes with same number in the same environment. Though in reality, these are not being kept, but knowing the parameters of pharmacokinetic equation could bring about a rough estimation of distribution when the synthesized drug is administrated to the selected animal at the stage of animal test. Thus, the additional modifications which reflect the real status could be developed from this backbone equation, (p = time(minutes), r/2 = demolished amount of cancer cells(gram)), in the near future. I expect many real problems like solubility, liphophilicity (cell penetration ability), molecular weight, ionization, enzyme degradation, renal clearance, aggregation, and poor adsorption, etc. could be discussed from this suggested equation model.
Agenda
Authors: Redactie
Published: March 2023

Overzicht van congressen en cursussen.
The New Cold War: Sino-US Rivalry in the South China Sea and Repercussions on the Region
Authors: Iqbal Haroon , Ahmad Israr
Published: March 2023

The Sino-US relationship has seen many drawbacks and triumphs over the years. Today they both are struggling to legitimize their rule and capabilities while also contesting and, at times, defying one another. Afterwards, the conclusion of the Cold War, a general sense of amusement ran over policymakers in the United States, and western scholars started to debate over the “End of History” and celebrated the glories of “liberal democratic order” however, the revival of the Chinese diplomacy brought back novel fears of the advent of a New Cold War, this time between the Cold War allies. This paper aims to explore the Sino-US Cold War, particularly at the heart of the Indo-Pacific at the South China Sea. The highly disputed waters of the South China Sea are proving a testing ground for both China and the United States. Furthermore, the relevance of the United Nations Convention on the law of the Sea (UNCLOS) and its alleged violation by China is also the focus of this paper. Defying the United States in the South China Sea as well as forging a business partnership with the US, will be much more challenging for China. This qualitative research explores the start of the New Cold War and how it might escalate into a never-ending battle of power and dominion.
Role of Parents and Teachers in the Social Development of Students
Authors: Zubair Muhammad , Ahmad Masood , Tariq Nomana
Published: March 2023

This research paper has been carried out to explore the role of teachers and parents in the social development of children and transforming them into potential beings of society with technological support. A technique called "judgmental sampling" or "intentional sampling" was used to choose the sample size of 130 people. The people who took part were the kids' birth parents. A questionnaire was made beforehand to collect information, and the chi-square test was used to determine what it all meant. This study shows how important it is for special educators, trainers, teachers, and psychologists to help children develop academically and socially to become valuable members of society. The training and development of children in a city should use cutting-edge technology and new ways of looking at education to help them grow and succeed in society. Schools are encouraged to give special education teachers seminars, workshops, and courses yearly to help them improve their professional skills. Seminars on awareness and Counseling for parents are also on the list of things that should be required. Parents, teachers, and the general public all need to know more about the problems children face today.
Digital Evidence and Pakistani Criminal Justice System: A Review Article
Authors: Khan Muhammad Sajid , Bhatti Shaukat Hussain
Published: March 2023

The value of digital evidence has expanded quickly in recent years due to increases in its dependability and complexity. Evident from national and international regulations. There is a presumption in the law that digital evidence is admissible, and authorities have been directed not to rule it out of court because it is not presented in a substantive and perceptible form. Domestic and international laws have educated domestic law, and today everyone agrees. This section examines the background of the issue, the laws at play, and how it presented the matter to the Supreme Court nationwide. The technique adopted in this review study is a literature search. "Digital evidence" refers to any evidence made, kept, or transferred via digital means. It is impossible to overstate the role that digital evidence plays in the administration of criminal justice. In Pakistan, there were no laws surrounding the acceptance of digital evidence in court until 2002. We review roughly twenty evaluations given by different scholars in their articles. Part one of this review article's subsections is split in two. These abstracts expand upon the newest parts of the supplied legislation. The last section often supplies a quick summary of the important points and supporting evidence presented throughout the essay.