bluuebunny/crossref_metadata_2025 huggingface dataset:
Prophecies in The Holy Qur’an Attesting Its Divine Origin
Authors: Azzubaidi Marwan Saad
Published: July 2023

A fundamental pillar in the Islamic faith is the belief that Allah is the only Being who knows how the unseen events and facts will exactly happen in the future. Therefore, it was reasonable to find prophecies in the Qur’an as evidence to prove that this book is the truth from God. The present article aimed to shed the light on the major prophecies mentioned in the Holy Qur’an testifying for its truthfulness as a religious book sent from God to his last and final messenger, Prophet Muhammad peace and blessings upon him (PBUH). Eight Qur’anic prophecies were categorized and discussed in this article. The first category comprised prophecies that came true during the Prophetic life span, which we referred to as “near-future happenings”. The second category included events that have come true after Prophet Muhammad PBUH has passed away which we termed “far-future happenings”. The third category included far-future news that was foretold to uncover an ancient event. The fourth category covers two undeniable consistent facts that become more evident as time passes. Appropriate understanding of these prophecies is essential for every Muslim to present and prove Islam to people as the religion of truth.
 
Keywords: Prophecy, Qur’an, proof, divine, origin.
CoreBirds: Connecting Open Research outputs in the Ecology of Birds
Authors: Visser Marcel E. , Culina Antica , Vriend Stefan , Burant Joseph
Published: July 2023

Increasing transparency and reproducibility are key objectives of Open Science. To support an open and transparent research landscape, CoreBirds will link datasets, analytical codes, and publications resulting from long-term studies of wild bird populations. We will build upon an already existing database and network of researchers (SPI-Birds), and will create a library of peer-reviewed codes. This will greatly stimulate reuse of code, enhance the transparency of scientific outputs and thereby broaden the potential user base of SPI-Birds. Once implemented, this working model will encourage other research communities in the long tail of life sciences to close their research life cycle.
TÜRK HUKUKUNDA REFAKATSİZ ÇOCUKLARIN HUKUKİ DURUMU
Authors: ARSLAN İlyas
Published: July 2023

Türkiye, coğrafi konumu nedeniyle tarih boyunca göç hareketlerine ev sahipliği yapmıştır ve hâlen de yapmaktadır. Bu göç hareketlerinin sonucunda Türkiye sınırları civarında veya dahilinde bulunan yabancıların arasında “refakatsiz çocuk” olarak nitelendirilen çocuklar da bulunmaktadır. Bu çalışmada bu çocukların Türk yabancılar hukukundaki durumları ele alınmıştır. Bu kapsamda, refakatsiz çocuk kavramıyla bu çocukların korunmasına ilişkin uluslararası alanda benimsenen prensiplerle bunların Türk mevzuatına nasıl yansıdığı incelenmiştir. Refakatsiz çocukların, esasen uluslararası korumadan yararlanacağı öngörüldüğünden, bu çocukların statü belirleme sürecinde yapılacak işlemlerle alınması gereken tedbirler analiz edilmiştir. Bulundukları andan itibaren koruma altına alınmaları, bakım, barınma, eğitim gibi kendilerine sağlanacak hizmetlerle uluslararası koruma başvuru veya statüsü sahibi olarak haklarla yükümlülükleri ayrıntılı olarak incelenmiştir. Geçici korunan refakatsiz çocuklar, uluslararası korumadan yararlanamayacaklarından, bunlara sağlanacak hizmetlerin neler olduğu, hakları ve yükümlülükleri de ayrıca ele alınmıştır.
Purple Urine Bag Syndrome in a Woman with Squamous Cell Cervical Cancer
Authors: Eubanks Rhea , Dupont Crystal , Fru Diane , Jackson Amanda , Herzog Thomas , Billingsley Caroline
Published: July 2023

Purple urine bag syndrome is a rare phenomenon whose striking presentation can lead to earlier recognition and treatment of a potentially serious medical condition. This is a unique condition of long11 term indwelling catheter associated urinary tract infection with distinct, purple-colored urine caused by bacterial metabolites. This infrequent occurrence was seen in a patient with stage IIIb squamous cervical cancer who presented to the emergency department with symptoms of a urinary tract infection in setting of indwelling bilateral percutaneous nephrostomy tubes. The patient’s physical exam was notable for left costovertebral tenderness, purple urine in bilateral nephrostomy bags and urine culture significant for proteus mirabalis. The patient was treated with intravenous antibiotics and fluid resuscitation. She unfortunately left against medical advice shortly after being admitted. She re presented to an outside hospital with fevers and non-draining nephrostomy tubes notable to have purulent discharge at the nephrostomy sites. The scant urine through the nephrostomy tubes was also noted to have a purple hue. She was found to have another urinary tract infection with Enterobacter cloacae and subsequently treated with intravenous antibiotics. During this admission, she underwent bilateral nephrostograms notable for significant clogging of tubes and bilateral ureteral patency. After the study, she underwent removal of the long-term indwelling catheters and was able to continue voiding spontaneously. She was discharged in good condition on a ten-day course of oral antibiotics.

The occurrence of purple urine is highly associated with urinary tract infections. This process is thought to be caused by a metabolism of dietary tryptophan by intestinal bacteria to indole that is then absorbed into the circulation and then converted to indoxyl sulfate by hepatic enzymes. This substrate returns to circulation and is excreted in the urine where in the presence of bacteria with sulfatase and phosphatase activity converts indoxyl sulfate to indigo and indirubin resulting in the characteristic purple hue of the urine. Catheter associated urinary tract infections require antibiotic treatment and timely removal of catheter when appropriate to prevent complications including pyelonephritis and sepsis.
The Current State of Digital Marketing in China's Beauty Industry and The Targeted Strategies
Authors: Liang Wenhui
Published: July 2023

With the advancement of mobile internet and social media, the creation of new national beauty brands now heavily relies on digital marketing. Some of the new Chinese beauty brands that first appeared online have made online marketing their primary objective. With the aid of funding, they are able to increase their online advertising costs and increase their online sales significantly. This thesis examines the present state of the Chinese beauty business, looks at its external environment, discusses the significance of digital marketing's singularity in the beauty industry, researches new marketing channels in the new retail beauty sector, and makes some recommendations. The beauty industry must keep up with current affairs policy and vigorously develop digital marketing if it hopes to be competitive in this environment, draw in a large number of customers, and increase the value of the business. Further studies are expected to expand on this framework to forecast and investigate how digital marketing will grow in the Chinese beauty business in light of the new retail trend.
A Study on the Integration Path of China-ASEAN Digital RMB Cross-border E-commerce in the Context of Big Data
Authors: Yao Jingya , Wang Songchun
Published: July 2023

In the trend of the global digital economy, digital currency will become one of the important payment methods in cross-border trade in the future. Countries that are in a leading position in this technology can enhance their voice in the formulation of international rules. The development and use of digital currency by the central bank is of great significance for China to gain an advantage in international financial competition in the context of the digital age. From a key strategic partner - ASEAN as the entry point, this paper expounds the current situation of China-ASEAN cross-border e-commerce. Based on online data, this paper reveals the four problems faced by digital RMB cross-border e-commerce in the China-ASEAN framework through collection, integration and comparative analysis. On that basis, this paper makes the following suggestions: promoting the standardization of digital currency supervision, improving the "Bilateral Currency Swap Agreement", and actively carrying out international dialogue and talent exchanges, so as to help ASEAN carry out cross-border cooperation of digital RMB and cultivate the advantages of China's digital economy in the competition of cross-border e-commerce.
Hotels and Resorts Industry in Australia
Authors: Li Danying
Published: July 2023

Nowadays, hotels and resorts industry in Australia is facing more challenges due to aggressive competition. This paper will use Porter’s Five Forces to examine profitability for hotels and resorts industry in Australia. The study shows that Internal rivalry and substitutes will wound the profit of the hotels and resorts industry in Australia while bargaining power of supply is low now. Therefore, supplier power can’t cut the profit. And the barrier of entry protects the revenue to some degree. In the future, the bargaining power seems getting stronger.
The Difference Evaluation of The Core Competitiveness of Commercial Banks Under the Background of Green Finance
Authors: Su Xiaowen
Published: July 2023

Green finance plays an important role in China 's green low-carbon circular development economic system. As the main body of practicing the concept of green finance, commercial banks ' innovation of the core competitiveness system of the banking industry has a profound impact on stimulating the motivation of China 's commercial banks to implement green credit. This paper selects the data of 23 different types of commercial banks in China in 2019, innovatively introduces relevant green performance indicators to improve the core competitiveness system of commercial banks, and uses factor analysis to score and rank the competitiveness of banks. On this basis, cluster analysis is further carried out to divide commercial banks into three categories. Finally, according to the analysis results, specific suggestions are put forward.
The Impact and Countermeasures of Technical Trade Barriers on Jiangsu's Export Trade
Authors: Xiong Zhuqin , Liu Mingyang , Gu Qiuxia
Published: July 2023

As the largest trading country in the world, China lags behind developed countries in terms of development level. There is a technological gap, lack of innovation and often suffers from technical barriers to trade. Whether in terms of direct losses, indirect losses or the degree of impact, TBT has exceeded the traditional trade barriers and become the most frequent and difficult trade measures that export enterprises in Jiangsu face after exchange rate and tariff. How to correctly view and reasonable treatment of technical barriers to trade on the impact of Jiangsu Province, foster strengths and circumvent weaknesses, is the focus of this study. Firstly, This paper expounds the basis of the topic and the significance of the paper, and summarizes the research status at home and abroad. Introduced the technical trade barrier, its expression form and function. Then, based on the specific export cases of mechanical and electrical industry, agricultural and food industry, light industry and textile industry in Jiangsu Province, it is demonstrated that TBT has caused huge capital loss to Jiangsu's export, lost part of the market, reduced export competitiveness, aggravated trade friction between countries and a series of problems. Through the collection of a large number of data, the objective conclusion is that the export of Jiangsu Province is faced with technical barriers to trade export price and cost increase, profit margin is compressed, backward technology, low productivity efficiency and other problems, resulting in a sharp decline in export volume and export speed, slow customs clearance time, cumbersome inspection procedures and other consequences. Finally, this paper from the government and enterprises point of view to Jiangsu Province to deal with the technical barriers to trade countermeasures and methods.
Research on the Development Status, Problems and Countermeasures of China's Securities Investment Fund Market
Authors: Yuan Ye , Ali Azlan
Published: July 2023

Along with the reform of economic system, China's securities investment fund market has better development. Securities investment also developed rapidly in our country, and then promoted the rapid development of national economy. However, the rapid development of the securities investment fund market has gradually exposed the problems. In this context, it is necessary to study the problems existing in the securities investment fund market and put forward countermeasures to promote the stability and development of the market.
The Fintech Revolution: Innovations Reshaping the Financial Industry
Authors: Zhao Yifan
Published: July 2023

This paper aims to explore the synergy between online payment development, P2P lending, artificial intelligence, and blockchain, and their potential impact on the financial industry. Online payment development, P2P lending, artificial intelligence, and blockchain are all key trends in the financial industry that have been rapidly evolving in recent years. However, there has been limited research that explores the synergy between these trends. The paper provides a comprehensive review of the literature and analyzes the interdependence between online payment development, P2P lending, artificial intelligence, and blockchain. The study also highlights how the convergence of these trends can revolutionize the financial industry by enabling faster and more secure transactions, better risk management, and improved customer experiences. The study finds that online payment development and P2P lending have a strong relationship, as they both rely on digital platforms and enable individuals to conduct transactions without intermediaries. Artificial intelligence and blockchain are emerging technologies that can enhance the efficiency and security of online payments and P2P lending. The study also identifies various challenges, including regulatory issues, privacy concerns, and the need for standardization, that need to be addressed for the full potential of these technologies to be realized. In conclusion, this paper provides insights into the emerging trends in the financial industry and highlights the potential of online payment development, P2P lending, artificial intelligence, and blockchain to transform the financial landscape. The findings of this study can inform policymakers, financial institutions, and investors about the opportunities and challenges of these trends.
Preface: 4th International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2023)
Authors: Cissie Mirabelle , Cao Huilei
Published: July 2023

It is with great pleasure to introduce the proceedings of the 2023 4th International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2023). The conference was held during May 13-14, 2023 in Shenyang, China.

MECEME series provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the fields of mechanical engineering, green manufacturing, architectural design, construction technology, civil engineering, and material engineering. This conference provides an opportunity to highlight recent developments and to identify emerging and future areas of growth in these exciting fields.

MECEME 2023 has the main purpose to bring researchers and scholars to share their knowledge and experiences. This conference provided delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships. We sincerely hope that this conference will help to increase knowledge in relevant scientific and academic fields.

Scientific Committee of MECEME 2023

Shenyang, China
Synthesis, Modification and Application of Polylactic Acid
Authors: Xue Jintian
Published: July 2023

The massive use of petroleum-based plastics has caused tremendous damage to the world's environment, so it has become increasingly urgent to develop biodegradable materials represented like polylactic acid (PLA). PLA is a non-polluting, completely degradable and renewable polymer material with high strength, high modulus and good biocompatibility. However, the disadvantages of conventional PLA, such as poor heat resistance and limited flexibility, limit its application. Therefore, its modification is needed. This article summarizes the structure and properties of PLA and describes the synthesis methods based on direct polymerization, ring-opening polymerization and enzyme-catalyzed polymerization. The article also reviews the methods of PLA modification, including physical modification by adding fibrous materials, nucleating agents, and compound modification, and chemical methods such as copolymerization and cross-graft modification. Moreover, the article presents the applications of PLA in packaging and medical materials. At the end of this article, future research and development directions of PLA are discussed.
Properties, Preparation and Application of Nature Fibers/Sustainable Polymers
Authors: Wan Yinxuan
Published: July 2023

Plastics have become one of the most indispensable items in human life. For instance, they are the package of literally everything in our day-to-day life: food packaging, water bottles, coffee take-away cups, etc. However, the outrage of plastics’ production and their non-biodegradability has become a serious issue to the environment and human health. More and more plastics are manufactured to meet the demands in several industries and the growing rate of its production is soaring annually. Furthermore, there is not yet a way to degrade plastics, like polyethylene and polyethylene terephthalate, in a both low cost and efficient way. Nature fibers and sustainable polymers have been discovered to be the substitute for plastic and has now been validated that they can be put into mass production. The specific kind of fibers and polymers possess excellent degradability, meaning they can be degraded into non-toxic substances, for example H2O and CO2. Meanwhile, they can be acquired from the nature, for instance, trees. This paper describes three materials that have prominent future in replacing conventional plastic to take over plastic’s dominating place in our daily use---poly lactic acid (PLA), cellulose and lignin. The three materials’ obtaining methodology, properties and current applications are discussed.
The Depolymerization and Applications of Lignin
Authors: Zhou Chunka
Published: July 2023

Apart from an energy crisis, concerns about climate change have grown as a result of reliance upon fuels of fossil, prompting research on renewable and clean energy alternatives. Lignin as the world's greatest renewable source of aromatic building blocks, is second most rich reproducible resource after cellulose for sustainable biofuels manufacture. It has three dominant harbingers, p-coumaryl, sinapyl and coniferyl alcohols. Besides, it is considered to be a promising material by virtue of its biocompatibility, abundance and low cost in nature. The current contribution serves to review recent progresses in electrochemical, thermochemical and biological tactics critically for depolymerizing lignin primarily concentrating upon microwave-assisted, base/acid/metal-catalyzed and enzymatic degradation methods. Then, this retrospection contains the current research advancement in lignin valorization, particularly concentrating upon electrochemical, medical and 3D printing utilization. In the domain of medicine, drug delivery stuffs, pharmaceuticals and wound dressings employ lignins. Therefore, 3D printing lignin–plastic materials and electrochemical energy devices are used.
Research on wet-jet and wet-spun carbon fiber prepreg yarn for dry winding and its properties
Authors: Li Zhitao , Yin Guoqiang , Shan Ruijun , Shen Yan , Chen Mingxin , Guo Congcong , Guo Zihao
Published: July 2023

Through the transformation of basic equipment, this paper realizes the control of the stable resin content of prepreg yarn while fully maintaining the impregnation. Through the research on the resin curing process, resin content, and aging degree of the resin system during the prepreg manufacturing process, the resin content and aging process of the prepreg corresponding to the optimal tensile performance of the NOL ring were determined, and a high-tension winding method was obtained. The prepreg yarn MP01/HF30F/28 prepreg yarn. During the manufacturing process of wound gas cylinders, through the research on the curing system and layup design, the burst strength of dry wound gas cylinders reached 68.5MPa, and the corresponding fiber performance conversion rate was 81.2%, which exceeded that of wet-sprayed wet-spun fibers. The blasting performance conversion rate of wound gas cylinders is 19.8%. Thus opening up a new application method of wet-jet wet-spun carbon fiber in the field of winding.
A New design of deployable pedestrian bridge deck based on origami theory
Authors: Yang Yunce
Published: July 2023

As one of the basic civil engineering structures, bridges greatly impact people’s daily life. However, many bridge accidents are caused by boat crashes because of the driver’s carelessness or other climatic and hydrological factors. Besides, some pedestrian bridges are not frequently used and thus make a waste of water space. This design will overcome the challenge and tackle the problem successfully based on the origami and kirigami theory by using a connector composed of a slider and a revolute joint. The bridge can be folded up and down via a particular folding method. The basic structure units have two degrees of freedom (DOF). The whole mechanism can be folded and unfolded by sliding and rotating the connector. According to the structural folding position analysis results shown in the diagrams, the new deployable bridge deck structure design can validly tackle the problems of clearance limitation under the bridge via the special-designed cross-section of the bridge deck. I hope the design model will be widely applied in the river-crossing bridge and bring convenience to all pedestrians and boat drivers.
Spectrum analysis of multi-pulse position modulation in optical communication
Authors: Huang Yuanyuan , Wu Chengchu
Published: July 2023

In this paper, the authors aim to compare the performance of space optical communication and wireless optical communication by analyzing the transmission mechanism, transmission method, and transmission rate of MPPM (Multi-Pulse Pulse Position Modulation). MPPM is a widely used modulation technique in optical communication systems, which has the advantage of reducing the effect of noise and improving the system's error rate. To achieve the objective, the authors will employ mathematical models to compare the performance of space optical communication and wireless optical communication. They will analyze the transmission mechanism, transmission method, and transmission rate of MPPM in both communication systems and draw conclusions based on their findings. The authors hope that the results of this study will positively promote the development of MPPM in the future. By comparing the performance of space optical communication and wireless optical communication, this study will provide insights into the strengths and weaknesses of both systems, which can help in the development of more efficient and reliable optical communication systems.
System optimization for index modulated OFDM
Authors: Zhang Peidong
Published: July 2023

This paper introduces the system optimization scheme of OFDM-IM, an emerging modulation technology that combines OFDM technology and modulation index technology to improve spectral efficiency and system reliability while ensuring high-speed transmission. However, as a new technology, OFDM still has shortcomings. This paper investigates three system optimization schemes for OFDM-IM: he deep learning-based OFDM-IM optimization scheme, MIMO-OFDM-IM, and LDPC coding-assisted subcarrier index protection scheme. It is found that these three optimization schemes are indeed helpful for optimizing the performance of OFDM-IM through system simulation experiments. The IM-OFDM system optimization based on deep learning is very helpful for IM-OFDM in terms of channel estimation, signal detection, and modulation classification. MIMO-OFDM-IM can increase channel capacity and signal transmission reliability. By protecting the subcarrier index, LDPC codes can effectively reduce the subcarrier error rate and improve the reliability and performance of IM-OFDM systems. Due to their different technical characteristics, the three optimization schemes have different advantages. They also have their application scenarios in which they excel. However, considering these technologies are relatively new, there are still certain drawbacks to these three technologies. Researchers need to continue to study them in-depth and gradually overcome them.
Analysis on improving channel capacity of MPPM
Authors: Ke Xinran
Published: July 2023

Nowadays, optical wireless communication has been widely applied and various techniques are used to achieve signals with higher quality and higher efficiency. Pulse position modulation (PPM) is a commonly used modulation scheme. However, PPM suffers from its low bandwidth efficiency and Multiple pulse position modulation (MPPM) is generated to improve the performance of signals. Further research can be carried out to figure out ways to further improve channel capacity of communication systems by combining modulation techniques together. In this paper, three different schemes are introduced, including LDPC-coded MPPM UWOC system, MIMO-MPPM WOC system, and PSM-MPPM system. Fundamental principles of these three techniques are mentioned before going through the methods used to carrying out experiments. Both simulations derived from numerical analysis and experiment results are obtained to support the results. In LDPC-coded and MIMO research, turbulence effects are considered by adopting different statistical distributions. The aim of the paper is to compare properties of three recent research and discuss how they can be applied in different scenarios to improve the communication systems.
Study on characteristics and community structure of high-speed rail network centered on Shanghai
Authors: Sun Jiayi
Published: July 2023

The high-speed railway is a typical representative of China 's high-speed transportation infrastructure, with typical complex network characteristics. Based on the complex network theory, this paper conducts an empirical study on a Space-P network model for high-speed train originating from Shanghai. Then the network is divided into communities by louvain algorithm.  The average distance of the network is 1.76, the modularity of community division is 0.3683, and the clustering coefficient is 0.6859, which is typical of small-world network. Due to Space-P model, the network is highly connected, resulting in a relatively low modularity. To a certain extent, the network reflects the developed high-speed rail level and wide direct range of Shanghai, and also reflects the convenience of China 's high-speed rail.
Historical Review and Current Progress of the Cranioplasty
Authors: Zhang Chenrui
Published: July 2023

Cranialplasty is one of the typical neurosurgical procedures.As a result of their aesthetics and biocompatibility, autologous grafts are chosen. Numerous patients with skull defects experience local scalp depression as a result of atmospheric pressure, which can cause an imbalance in intracranial pressure, displacement of brain tissue, reduction in cerebral hemispheric blood flow, and problems with cerebrospinal fluid circulation, all of which can result in a variety of clinical manifestations. Then cranioplasty can effectively restore normal cerebrospinal fluid dynamics and cerebral cortical blood perfusion, which is conducive to reducing intracranial complications and assisting in the restoration of neurological function. It can also repair skull defects, restore the patient's skull appearance and protective function. This paper's goal is to investigate a foundation for the viability and timeliness of cranioplasty, This paper discussed the history of cranioplasty, the pathophysiological effects of recovery, complications, and rehabilitation issues from both qualitative and quantitative viewpoints. According to the average cranioplasty score, having a procedure done within three months following a traumatic DC may help with neurological function recovery. In addition, effective communication between the surgical team and the rehabilitation staff is crucial for maximizing recovery and enhancing results.
Effect of Glipizide on non-insulin-dependent diabetes mellitus
Authors: Yuan Jiarui
Published: July 2023

Type 2 diabetes mellitus, sometimes referred to as non-insulin-dependent diabetes, (NIDDM). The patient was unable to secrete enough insulin, resulting in elevated blood glucose. Complications during a patient's diseases are common in type 2 diabetes patients. Common type 2 diabetes does not have an age or gender difference. Patients with type 2 diabetes or those under treatment are frequently fat and sedentary. Glipizide, a sulfonylurea medication, is prescribed to people with non-insulin-dependent diabetic mellitus. (type 2 diabetes). There are two common types, oral tablets and sustained-release tablets. The common type of oral tablets is fast-acting tablets. Absorption is rapid and the effect is rapid, because oral tablets have a significant effect and may cause short-term hypoglycemia. The body disintegrates the medication and release it. A contributing factor to type 2 diabetes is having high blood glucose levels, as the pancreas produces less insulin, resulting in a residual overall glucose in the blood. These disorders are often caused by genetics or overweight/physical inactivity . The blood glucose levels of patients with type 2 diabetes are greater than those of ordinary healthy individuals since the condition is a chronic metabolic disorder. Glipizide can be used as an insulin secretagogue to stimulate islet β cells to release insulin, thereby increasing plasma insulin concentration. It also serves as an auxiliary hand in diet and exercise. Different regions have different laws for the use of glipizide. Glipizide can be used in combination with other NIDDM drugs in the United States. It can only be used alone or not in the United Kingdom because of the high risk of aggravating hypoglycemia in patients. Patients who have any cardiovascular or renal disease or have a long history do not mind using these drugs. Such agents are likely to worsen the hypoglycemia associated with the disease. Among many drugs, glipizide is one of the most common sulfonylureas and has a moderate price.
Correlation and Its Changing Characteristics in the Main Belt and Road Countries of Life Expectancy and GDP Per Capita from 1990 to 2020
Authors: Chang Huajing , Wang Shuaidi , Wang Yijun
Published: July 2023

Previous studies on the correlation between life expectancy and GDP per capita showed some variation. This study describes the trends of life expectancy and GDP per capita in 13 main countries along the Belt and Road from 1990 to 2020, and analyzes the relationship between male life expectancy, female life expectancy, or total life expectancy and GDP per capita in these countries using linear regression models. The results show that life expectancy and GDP per capita both increase gradually with increasing years. There is an immediate correlation between life expectancy and GDP per capita, and male life expectancy, female life expectancy, and total life expectancy are positively correlated with GDP per capita. This study confirms the positive correlation between life expectancy and GDP per capita, and these results will be the starting point for the public to pay attention to the health status of people in the Belt and Road countries.
Research on Prediction of Breast Cancer Type using Machine Learning
Authors: Kong Dehui
Published: July 2023

The most typical cancer type among women worldwide is breast cancer. In 2020 alone, it afflicts about 0.68 million people and 6.9% of all cancer cases. How to categorize tumors as benign (non-cancerous) or malignant (cancerous) is one of the main obstacles to its diagnosis. This study helps to make an accurate and reliable diagnosis based on the initial data of the tumor, such as smoothness, texture, area using machine learning models. This study uses five machine learning models, Logistic Regression (RF), Random Forest (RF), Support Vector Machine (SVM), K-nearest Neighbor (KNN), Naive Bayes Classifier (NBC) and three modelling systems, feature selection-ML and principal component analysis (PCA)-ML system to make predictions of the type of the tumor of Wisconsin Breast Cancer Dataset. Model performance are assessed by three performance evaluation which are accuracy, precision, recall. The results of full model show that random forest has the highest prediction accuracy of 98.25% out of the sample and 100% in the sample, and SVM's sigmoid-based kernel model has the lowest prediction accuracy of 83.33% outside and 85.27% inside the sample. The results of the feature selection model based on RF and LR shows that the RF with only 13 variables has the highest prediction accuracy 98.25% out-of-sample and 100% in-sample. Among all the PCA--ML models, PCA--NBC has the highest prediction accuracy of 97.33% out-of-sample. Nevertheless, PCA-RF has the highest prediction accuracy of 100% in-sample.
The role of Circadian rhythm in blood-brain barrier permeability
Authors: Dai Zijie
Published: July 2023

The blood-brain barrier (BBB) is a crucial structure that regulates the exchange of molecules between the brain and the bloodstream. Recent studies have shown that the BBB permeability exhibits a rhythmic pattern regulated by the circadian rhythm (CR). The CR is regulated by core clock genes that form transcriptional-translational feedback loops, which control the expression of proteins involved in BBB permeability regulation. The diurnal variation in BBB permeability is controlled by tight junction proteins, aquaporin-4, and ion transporters, which exhibit rhythmical expression patterns. Therapeutic approaches targeting rhythmical BBB permeability have important implications for drug delivery and clinical potential in treating disease such as Alzheimer's disease and multiple sclerosis which are two neurological disorders associated with disrupted circadian rhythms and BBB dysfunction. This review aims to introduce the role of CR in BBB permeability regulation, highlighting recent findings on the molecular mechanisms underlying CR regulation of BBB permeability and discussing the potential implications for drug delivery.
The research progress for the treatment of circadian rhythm disorder
Authors: Haruka Natsume
Published: July 2023

With the development of The Times, more and more people need to work at night, which is different from the normal biological clock of life, the body’s internal time and external environmental cues, resulting in the disturbance of circadian rhythm. Circadian rhythm disruptions are common to many people, and people can suffer from problems like chronic sleep deprivation or insomnia. Not only that, but over time it can lead to a variety of diseases that affect their lives and a greatly reduced sense of happiness. Recent research progress has suggested that patients with other medical conditions can also experience symptoms of circadian rhythm disruption. This suggests that the circadian rhythm disorder and the diseases are connected in two ways. Therefore, research that uses circadian rhythms to treat diseases by altering circadian rhythms will bring benefits to patients. In this review, the author first describes the relationship between circadian rhythm and specific diseases, such as hypertension, glucose metabolism, and immune system disorders, thus demonstrating a bidirectional relationship between circadian rhythm disturbance and many diseases. Then, three therapeutic methods of circadian rhythm disorder, namely light therapy, melatonin therapy and lifestyle change, are discussed, also mentions their combined use. The mechanism of action and therapeutic methods are introduced in detail, and the corresponding clinical data are given. Finally, based on the potential of circadian intervention, the future development possibilities are proposed.
The Comparison between the Effect of the Brain-Gut Axis and Traditional Medicine Treatment on Anxiety and Depression
Authors: Liu Zichen
Published: July 2023

Depression and Anxiety disorders are the two most prevail mental health conditions, and their proportion among people is growing year by year. Majority Anxiety disorders are generalized anxiety disorder (GAD), panic disorder, and social anxiety disorder (SAD). The gut-brain-micro biome (BGM) axis is an emerging area of research that studies two-way communication between the gut micro-biome and the brain. Studies have shown that the BGM axis can affect stress response, anxiety and depression. Interventions in the BGM axis, through probiotics such as Lactobacillus, have some benefits for anxiety and related disorders such as Hyperuricemia. This article briefly describes the different types of anxiety disorders, and discusses the diagnostic criteria, symptoms, morbidity and treatment options for each disorder. It highlights the current state of research on anxiety disorders, with emphasis on genetics, neuroimaging, and the gut-brain-microbiome (BGM) axis. Potential areas for further research and development of new therapeutic approaches were highlighted.
Current Progress of 3D Bioprinting of Cardiac Tissues
Authors: Ma Yongtai
Published: July 2023

Heart disease is the leading cause of death worldwide. Heart transplants are used when treating end-stage heart disease. The main problem faced by heart transplantation is the scarcity of donors. Therefore, finding a way to replace the donor heart remains a major medical challenge. In recent years, 3D bioprinting has often been used in tissue engineering, and it has achieved results in the preparation of many types of human tissues. Therefore, it is regarded as a promising method for alleviating donor heart scarcity. In this article, we summarize the current research progress of 3D bioprinting of cardiac tissue, and after introducing several 3D bioprinting methods, bioinks, and 3D bioprinting steps for heart tissue, we proposed our perspectives on 3D bioprinting, discussed several current challenges, and analysed the future of development.
The Research of Influence Factors that Possibly lead to Lung Cancer
Authors: Dong Yun , Guo Zhitong , Hu Peixian
Published: July 2023

Although previous studies have demonstrated that the incidence of lung cancer is associated with genetic predisposition, smoking, and air quality, there are still many unidentified factors that deserve to be studied. In this research, the method Binary Probit Model is used to deal with the data from the online Lung Cancer Prediction System which was published and updated in 2022 for 309 individuals. It is concluded that although lung cancer has no connection with Gender, Age, Anxiety, Wheezing, Alcohol Consuming, Shortness of Breath, or Chest Pain, it has a relatively strong connection with Yellow Finger and Allergy and a particularly strong relationship with Smoking, Peer Pressure, Swallowing Difficulty, Chronic Disease, Fatigue, and Coughing. Many of the factors having a possibly strong connection with cancer have never appeared in previous studies, such as Peer Pressure, Swallowing Difficulty, Chronic Disease, and Fatigue, which provides some new perspectives to study the pathogenesis and treatment of lung cancer and point to the way for further research afterward.
Potential Food and Pharmaceutical Application of Livestock Blood Proteins
Authors: Zheng Hanyuan
Published: July 2023

Livestock blood generated in slaughterhouses is a huge impediment to the sustainability of the meat industry. Blood is produced in large quantities with high nutritional value but is underutilized, resulting in a giant waste of protein resources and severe environmental pollution. Many studies have been devoted to improving the added value of the slaughtered by-product blood, among which the biotransformation to obtain blood proteins or peptides is a noteworthy strategy. This article aims to evaluate the application potential of slaughtering by-product livestock blood in the food and pharmaceutical industries. Methods for the preparation of livestock blood proteins and peptides are summarized, and how livestock blood proteins and peptides can be used in the food industry as antioxidants, stabilizers, and biomarkers for meat product quality determination are also discussed. Moreover, functional components derived from livestock blood that can be used in the pharmaceutical industry are also presented. This article concludes by emphasizing the great potential of livestock blood being applied in food and pharmaceutical industries, which will hopefully minimize the environmental load of the meat industry by achieving the valorization of this underutilized slaughtering by-product.
Prediction and Conservation Recommendations for the Effects of Diversified Drought on Plant Community Species
Authors: Zhou Houhua , Cai Xu , Wang Junzhe , Li Fei
Published: July 2023

Based on the analysis of plant community data and climate data, this paper established a plant community competition prediction model that includes weather and environmental factors by utilizing species competition theory and the Lotka-Volterra model. During the model construction process, the actual data was pre-processed and summarized for analysis, which ultimately determined the parameters of species quantity, growth rate, and precipitation, improving the accuracy and reliability of the model. Meanwhile, using the Lotka-Volterra model, a relationship model between biomass and time was established, and through the simulated annealing algorithm, two optimal species quantity changes were obtained. Finally, this paper optimized the multi-factor plant community Lotka-Volterra model through the genetic algorithm and obtained the optimal solution: the plant community can achieve the most beneficial competitive state with four species. This further proves the rationality and robustness of the model and also provides new methods and ideas for the management and protection of ecosystems. In summary, the results of this paper are of great significance for the stability and sustainable development of ecosystems and provide useful references for solving the problem of plant community competition and ecosystem stability.
Study on the technology of kumquat grapefruit sour beer
Authors: Hou Chengyue , Jiang Jialin , Bo Wenfei , Tang Simin , Qin Xiaoxu , Dong Xiaolei
Published: July 2023

A kumquat-grapefruit acid beer was brewed with Australian barley malt, lactobacillu, D17 yeast, Qingdao hop flower, kumquat concentrated juice and grapefruit concentrated juice as raw materials by using special mash and fermentation process. The effects of acidification degree, the addition amount of kumquat and grapefruit juice concentrate and the addition time on beer flavor were studied in this paper. The results showed that when the pH was adjusted to 3.5 by acidification, the sour beer produced by adding 6% kumquat concentrated juice and 4% grapefruit concentrated juice before the CO2 pressure of the tank rised, the beer has white and exquisite foam with prominent fruit aroma, especially those of kumquat and grapefruit. The beer body was clear and transparent, with about 5% residual sugar. The sweet and sour taste of the beer was balanced. The beer contained unique nutrients of kumquat and grapefruit also, and was especially suitable to drink for brewers and ladies.
Deck officer drowsiness detection based on Improved GhostNet-SSD and grey correlation analysis
Authors: Xu Liming , Hong Kongrui , Yu Zekai , Wang Xiaoqi , Zhao Xingyu , He Lintao , Ding Li , Yin Mingyang
Published: July 2023

Deck officer drowsy driving has become a major cause of shipping accidents, while traditional drowsiness detection methods have struggled to cope with the complex detection environment of a ship's cockpit. In this paper, we propose a deck officer drowsiness detection method based on the improved GhostNet-SSD.A multi-scale feature extraction network is constructed on the basis of lightweight GhostNet to generate redundant feature maps by depthwise separable convolutions. Extracting features of small targets at multiple scales facilitates that the model can be deployed on shipboard low-performance devices and enhances the detection accuracy of the model at the same time. In the inference stage, an improved soft-NMS algorithm is proposed to optimize the process of removing overlapping prior bounding box, reduce the miss rate of overlapping targets, and boost the detection speed of the model.
Shopping Mall Customers Clustering Based on LOF and K-means++
Authors: Deng Yuhang , Wu Peiwei
Published: July 2023

Effective customer analysis is vital for business success, and AI-based customer analysis can significantly improve its accuracy, particularly regarding customer grouping and labeling, enabling merchants to generate personalized marketing strategies. Theories on machine learning models for grouping data have been developed since the 1950s, including logistic regression, Support Vector Machine (SVM), decision tree, and random forest; however, computational limitations hindered their practical application. Recent advances in computer technology have led to the development of more accessible machine learning algorithms that generate high-value results. The K-means clustering algorithm is one such model that best fits the customer labeling requirements. As an unsupervised training model, the K-means algorithm clusters customer data into a predetermined number of clusters. In this paper, we apply the K-means algorithm to separately cluster data on male and female clients, while using the K-means++ model to keep initial cluster centers as far apart as possible. We also apply the LOF algorithm to remove any outliers and modify the dataset accordingly.
Brain Tumor Identification Based on AlexNet and VGG
Authors: Zhao Rongchen
Published: July 2023

Early diagnosis of brain tumor symptoms through Computer Tomography (CT) imaging is an important means of treating brain tumors. However, doctors who identify and diagnose brain tumors with naked eyes may cause misdiagnosis due to overwork or inexperience, which greatly affects the rehabilitation of brain tumor patients. In recent years, there is a lack of a clinical application tool for automatic identification and classification of brain tumor CT images to help doctors improve the rate of brain tumor treatment. This study proposes an approach for identifying and classifying brain tumors using a modified AlexNet and Visual Geometry Group (VGG). The methodology involves the comparative analysis of the performance of the modified AlexNet and VGG in identifying and classifying brain tumors. Our findings reveal that the modified AlexNet demonstrates superior performance, with an accuracy rate of 69.54%, in comparison to the VGG. The proposed approach holds tremendous potential for future clinical application as an auxiliary tool to aid medical professionals in accurately diagnosing brain tumors.