bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytical evaluation of big data applications in E-commerce: A mixed method approach
Authors: Mohammadi Ali
Published: March 2023

E-commerce is one of the industries most affected by big data, from collection to analytics in the highly competitive market. Previous research on big data analytics in E-commerce focused only on particular applications, and there is still a gap in presenting a framework to evaluate big data applications from a challenges-values point of view. This study employs a three-phase methodology to evaluate big data applications in E-commerce with respect to big data challenges and values using a hybrid multi-criteria decision-making technique that combines BWM and fuzzy TOPSIS. The results showed process challenge and the strategic value obtained the highest weight for challenges and values criteria. Financial fraud detection is relatively the most challenging, and online review analytics is the most valuable application of big data in E-commerce among identified applications. Evaluating big data applications based on cost and benefit criteria is practical for E-commerce managers and experts to make decisions on implementation priorities to overcome the challenges and make the most of values. Moreover, the proposed approach is not only limited to big data analytics in E-commerce and can also be applied in other industries to evaluate emerging technology applications.
Revolution in military affairs (RMA) by Indonesian armed forces towards competitive advantage
Authors: Rachman Arief , Octavian Amarulla , Irdham Ahmad , Putra Yusuf Ali, I. N. , Susilo A.K.
Published: March 2023

The dynamics of the conflict in the South China Sea (SCS) have begun to enter a new chapter. Currently, the South China Sea (SCS) is a flashpoint in the Asia Pacific region. This study aims to provide an analysis of the concept of the Revolution in Military Affairs (RMA) strategy by the Indonesian Armed Forces (TNI) toward Competitive Advantage in the South China Sea region. This study employed an analytical approach with a qualitative sequence exploratory method supported by some quantitative data. PEST (Political, Economy, Socio-cultural, Technology) analysis and SWOT analysis methods were used to support the study. Furthermore, this study also utilized an Analytical Hierarchy Process (AHP) method approach to provide strategic value and sensitivity analysis as a strategy scenario analysis toward competitive advantage. Based on the results of the research analysis, a strategy under the development of Indonesian Armed Forces capabilities towards a competitive advantage in the South China Sea was obtained, namely the WO strategy which consists of 6 substrate aspects with eight subfactors, namely the combination of all components and strengths in handling security disturbances in the South China Sea (0.162), increased competence of human resources (0.159); development of integrated defense forces and capabilities (0.147), protection of information systems and state secrets (0.145), development of defense facilities and infrastructure (0.109), increasing the capacity and capability of modernizing intelligence technology (0.093), utilization and capacity building of the national defense industry (0.089), deployment of Indonesian Armed Forces troops in the South China Sea (0.075). This study is expected to contribute to the strategy for handling conflicts in the South China Sea and provide strategic steps in increasing capabilities on competitive advantage.
Gis and fuzzy logic approach for forest fire risk modeling in the Cajamarca region, Peru
Authors: Anticona Alex Vergara , Zúñiga Candy Ocaña , Santos Alexandre Rosa dos , Lorenzon Alexandre Simões , Filho Plinio Guerra
Published: March 2023

Forest fires are a potential threat to life, as they contribute to reducing forest areas, impact on the services we expect from ecosystems, the health of the inhabitants is affected by smoke and the economic costs for the recovery of affected areas is high. The objective of the study is to apply fuzzy logic to model the risk of forest fires in the Cajamarca-Peru region, incorporating variables that represent biological, topographic, socioeconomic, and meteorological factors. The analysis was based on the acquisition, editing and rasterization of the database, application of fuzzy membership functions and image fuzzification, fuzzy superposition and spatial reclassification of forest fire risk. The results obtained show that 71.68% of the area is under very low or medium forest fire risk. However, 28.32% of the study area has a high to very high fire risk, which makes the occurrence of fires susceptible to the lack of rain and water in the soil. It was found that biological, topographic, and socioeconomic factors with their respective variables are directly influenced by meteorological factor variables such as temperature, rainfall and water availability. Fuzzy logic offered flexibility in modeling wildfire risk in the region, proving to be a useful tool for predicting and mapping wildfire risk.
Time series prediction of novel coronavirus COVID-19 data in west Java using Gaussian processes and least median squared linear regression
Authors: Yulita Intan Nurma , Ardiansyah Firman , Siska Aulia , Suryana Ino
Published: March 2023

In 2019, the COVID-19 epidemic swept throughout the globe. The virus was first identified in Wuhan, China. By the time several months had gone by, this virus had spread to numerous locations throughout the world. Consequently, this virus has become a worldwide pandemic. Multiple efforts have been made to limit the transmission of this virus. A possible course of action is to lock down the territory. Unfortunately, this strategy wrecked the economy, worsening the terrible situation. The world health organization (WHO) would breathe a sigh of relief if there were to be no new cases. However, the government should explore employing data from the future in addition to the data it already has. Prediction of time series may be utilized for this purpose. This study indicated that the Gaussian processes method outperformed the least median squared linear regression method (LMSLR). Applying a Pearson VII-based global kernel produces MAE and RMSE values of 23.12 and 53.43, respectively.
Estimating flood catastrophe bond prices using approximation method of the loss aggregate distribution: Evidence from Indonesia
Authors: Ibrahim Riza  Andrian , Sukono Sukono , Napitupulu Herlina , Ibrahim Rose Irnawaty , Johansyah Muhamad Deni , Saputra Jumadil
Published: March 2023

Losses experienced by the Indonesian government due to floods are predicted. It is because of the significance of population growth, closure of water catchment areas, and climate change in many regions in Indonesia. The government has tried to reduce the risk but faces insufficient funds. Therefore, new innovative funding sources are essential to overcome these limitations. One way to obtain it is through issuing Flood Catastrophe Bonds (FCB). Unfortunately, Indonesia has had no FCB price estimate until now. On the basis of this problem, this study aims to estimate the FCB price in Indonesia. The primary method used is the approximation method of the aggregate loss distribution. This method can compute the aggregate flood loss cumulative distribution function value faster. The FCB fair price estimation results are cheap because the risk of the instrument is significant. This significant risk is also proportional to the large return. Finally, further analysis shows that in Indonesia, the attachment point of the FCB has a relationship that is in line with the price, while the term of FCB does not. This research is expected to assist the Indonesian government in determining the fair price of FCB in Indonesia. This research can assist the investors in choosing FCB based on expected return, attachment point, and the term they want.
Zero emissions in the production of hydrogen fuel using seawater as the main resource through the artificial leaf tool: a proposal for a bibliographic review
Authors: Paco Izarra Karla Paola , Enriquez Villegas Pamela Del Carmen , Inga Ramos Angie Kinverlin , García Jiménez Dante Manuel
Published: March 2023

Polluted air creates health problems for people, plants and animals today due to many factors in industrial cities and power generation projects, transportation and chemical industry and others. It is for this reason that this research in bibliographic review allows us to know the different solutions to produce hydrogen through the analysis of the Scopus database and the VOSviewer tool that allows us to analyze the data, considering the variables that are artificial leaf, hydrogen, production , clean energy through seawater, graphs and tables were obtained which provide us with an analysis of the number of publications, the countries that carry out these investigations and the bibliometric maps worldwide for a global analysis. The results allow us to analyze and learn about the different solutions and materials that are used to carry out artificial photosynthesis that develops the production of hydrogen by separating water molecules with the aim of emitting zero emissions and being able to use it in different applications such as fuel, energy electrical, industrial uses and others. The purpose of this research is to allow us to make better decisions to apply this methodology according to the materials that we have in greater scope and that is a promising future for a generation of the new industry for the following years, also considering the objectives of sustainable development and finally, motivate readers to continue with these investigations and be able to apply it with institutions in charge of combating this problem.
Synthesis and Evaluation of some Novel Triazolo-thiadizoles Derivatives as Anti-diabetic Activity
Authors: S. Dighe Amol , K. Sen Ashim
Published: March 2023

Triazolo-thiodiazole and related fused heterocyclic compounds are of interest as potential bioactive molecules. Triazolo-thiodiazole derivatives have attracted the attention of organic chemists due to their biological and chemotherapeutic significance. Research in the field of anti-mycobacterium, anti-inflammatory and anti-microbial therapies is ongoing and studies are seeking. Therefore, the discovery of new effective anti-mycobacterium, anti-inflammatory and antimicrobial agents is imperative. The literature survey indicates that the fuse ring of triazolo-thiazazole derivatives has proven to be a good bioactive molecule. They showed various biological activities such as antibacterial, antifungal, anti-inflammatory, tubercular, anticancer, anticonvulsant, antioxidant, analgesic. In view of the above facts it was felt that some were interested in triazo- synthesis. All drugs were screened for their anti-diabetic activity with the standard drug Acarbose by an in vitro alpha-amylation method. The compounds C1 and C3 have been shown to have significant anti-diabetic activity.
Una MIS-C come possibile spia di errori congeniti dell’immunità
Authors: Drago Enrico , Massaccesi Erika , Ridella Francesca , Scalas Marta , Caorsi Roberta , Fioredda Francesca
Published: March 2023

The Authors described the case of a 2-year-old child presenting with the typical clinical features of MIS-C finally diagnosed as Wiskott-Aldrich immunodeficiency.
SUPERCONDUCTIVITY IN THE QUATERNARY INTERMETALLIC COMPOUND YNI2-XTXB2C
Authors: Ware William A. Mendoza , Ware Morgan E. , A. Shaheen Prof. Dr. Shahid
Published: March 2023

We report here our observance of superconductivity in compounds derived from the quaternary intermetallic superconductor YNi2B2C by partial substitutions for Ni. Other 3d transition metals T Î {Ti, V, Cr, Mn, Fe, Co, Cu, Zn} were used in replacement fractions x = 0.05 and x = 0.10. AC magnetic susceptibility cAC showed all except T = Zn had the characteristic diamagnetic response seen in superconductors. DC SQUID magnetometry on several samples confirmed type II superconducting behavior. X-ray diffraction showed a crystal structure similar to the parent compound for all but Zn. Some of the x = 0.10 compounds appeared to have minor secondary phases present despite annealing.
Implementación De La Calidad En Los Laboratorios De Ensayos (ISO/IEC 17025:2017)
Authors: Delgado Gustavo , SalazarCasco Jairo
Published: March 2023

La investigación pretende describir en forma resumida cómo implementar los requisitos establecidos en la norma ISO/IEC 17025:2017, para la competencia de los laboratorios de ensayos con calidad, destacando el contexto del Laboratorio y los elementos básicos del riesgo de acuerdo a las directrices de la norma ISO 31000:2018. Se inicia, con una reseña histórica sobre la evolución de la calidad y su importancia en los laboratorios de ensayos, se describen los componentes básicos del contexto del laboratorio haciendo énfasis en los factores externos e internos. Se abordan los aspectos necesarios de la gestión del riesgo resumido a través de un diagrama de flujo, destacando la identificación del riesgo, análisis, valoración y el tratamiento. Luego se hace una descripción sucinta de las exigencias por competitividad de los laboratorios, priorizando el enfoque de proceso y la gestión del riesgo que, de forma explícita, se encuentra a lo largo del contenido de la norma. Finalmente, se discute la importancia del uso del Sistema de Gestión de la Información en Laboratorios (LIMS) y la inteligencia artificial, como herramienta de garantía de la productividad y calidad en los resultados de los clientes.
A importância das matas ciliares: um estudo de florística e fitossociologia
Authors: Freitas Daniela Aparecida
Published: March 2023

O trabalho teve como objetivo principal o estudo da florística e da fitossociologia das Matas Ciliares do Parque Estadual da Lapa Grande em Montes Claros no norte do estado de Minas Gerais. As áreas de mata ciliar foram amostradas lançando-se em cada trecho identificado em mapas temáticos e indicados pela gerência da unidade de conservação, parcelas de 20x20 m (400 m²), obtendo 24 unidades amostrais, totalizando um hectare amostrado. Foram amostrados todos indivíduos lenhosos, vivos com diâmetro a 1,30 m do solo (DAP) acima de 3 cm. A coleta de dados baseou-se na medição do DAP e a obtenção da altura total foi estimada visualmente, também foram coletadas amostras botânicas dos indivíduos. Com especificidade, avaliou-se a caracterização florística da área, a estrutura vertical e horizontal da vegetação por meio da utilização de parâmetros como abundância, densidade absoluta, dominância, área basal, cobertura, frequência, agregação, riqueza de espécies, raridade, diversidade de espécies, equabilidade, similaridade, índice de valor de importância e o índice de valor de cobertura. Desse modo, o estudo colaborou-se para a caracterização das Matas Ciliares para que planos de manejos sustentáveis possam ser feitos para estas formações florestais.
Design and analysis of semi-submersible offshore floating wind and photovoltaic platforms
Authors: Qiu Junwei
Published: March 2023

The ocean holds excellent potential for green energy, and the sea can provide green energy to humans. For offshore structures and green energy development, the current floating offshore system has a single function and cannot fully utilize green energy. Therefore, this paper combines the development of wind and solar power to design a floating offshore structure. The report determined the configuration design of the platform and decided to choose a semi-submersible platform, select the type and size of wind turbine and photovoltaic panel models, calculate the wind load and wave load that the platform is subjected to, and finally calculate the cost of the forum. The wind load on a single wind turbine is estimated to be 26590.14N, and the wind load on all PV panels is 216180N, costing about 18487 RMB/kW. In this paper, the close combination of photovoltaic and wind power generation can guarantee the effective implementation of renewable energy and then improve the wind power generation and photovoltaic power generation application system based on the effective combination of the two.
Research on recycling and disassembly of waste crystalline silicon solar cells
Authors: Liang Yuqing , Yan Yiyang , Yang Hang
Published: March 2023

Past two decades have witnessed a rapid increase in the application of photovoltaics which is being vastly produced considering the fact that they are the crucial elements that contribute to the transition from conventional finite fossil energy to new-generation renewable energy. In order to offset the undesirable environmental impact attached to the mass production of Photovoltaics and also recover valuable metals, a comprehensive and environmentally friendly strategy of solar cells disposal and recycling handling are indispensable. Systematical analysis of different contemporary distinctive methods involved in end-of-life solar cell handling is needed for gaining a deep insight into the recycling process. This article mainly focuses on summarizing and comparing three highly effective methods for solar cells recycling and disassembly: physical treatment, chemical treatment, thermal treatment. Our results show that the physical method is mostly seen as a preliminary process that is indispensable before chemical or thermal treatment and that despite chemical treatments using solvents are crucial for the elimination and recovery process of valuable metals, there are several drawbacks, like harmful waste and damage to recovered silicon bulk, all of which are not contained by thermal treatment.
Preparation and Application of Ultrafine Copper Powder
Authors: Yuan Qisheng
Published: March 2023

Ultrafine copper powder has the excellent characteristics of both copper and ultrafine particles and has been widely used in industry. Different fields have different requirements for ultrafine copper powder, so various preparation methods have been derived. In this paper, the characteristics of electrolysis, liquid phase reduction, hydrothermal method and polyol method are analyzed. Some new preparation methods with novel ideas are also enumerated. Also, the applications of ultrafine copper powder are described. In electronic industry, ultrafine copper powder can be used in preparing conductive paste of multilayer ceramic capacitor (MLCC) and conductive ink. In catalysts, copper powder can catalyze the reaction alone, can be loaded on other substances and form alloys with other metals for catalysis. In antibacterial materials, copper nanoparticles can distort the DNA of bacteria and interrupt its biochemical process. Finally, the application trend of ultrafine copper powder is prospected, which is helpful to develop new synthesizing methods and applications of ultrafine copper powder.
Wind Turbine Hazard and Management
Authors: Yao Kuo
Published: March 2023

With the popularity of sustainable development, wind energy has become a popular clean energy alternative to fossil energy in recent years. The current wind power generation is developing vigorously. With the substantial increase in the number of wind turbines installed, the future material handling and disposal will generate demand due to the quantity. The purpose of this article is to discuss this possible problem with the disposal of unit materials and to find ways to avoid it. This paper introduces the background of wind development, analyzes the reasons for possible waste generation in the future, and analyzes some possible solutions in the future from three perspectives. The main material of generators and towers is steel, most of which can be recycled. However, the blade is made of fiber material. Although the quality is light and corrosion-resistant, it is difficult to react and be damaged. After disassembly, appropriate treatment methods should be allocated reasonably. For the disposal of these materials, traditional methods such as incineration, landfilling and physical recycling may consume a lot of energy and generate secondary pollution. Perhaps prolonging the lifespan or in-situ transformation is a feasible path, which also gives material disposal new direction. Enterprises and governments should also consider the future waste utilization issue within their own concerns, and do not let the original intention of wind energy end up in waste. This paper brings some ideas of sustainable development to the readers of government and enterprises and provides possible research directions for researchers and researchers.
Chinese Wind Power Development Experience and Future Expectations
Authors: Zhang Yihao
Published: March 2023

With the rapid development of renewable energy technology in the world, the upgrading of the energy system in China with new renewable energy techniques is necessary, the government has taken more measures in order to seek better future development. Wind power plants are a promising way of solving the electricity shortage in eastern China. However, several problems exist with the fast development and extensive expansion of wind power plants in the past decade. Also, there is a lack of systematical understanding in measures of solving the currently existing issues with the fast development. Thus, in this paper, China’s wind power technology development will be explored in the following sections as the epitome of the whole new energy technology. The distribution of wind reserves in China is discussed, and the development of wind power in China is furtherly explored. Take it as a reference, constructive suggestions have been made for future development, and the possible ways to develop wind energy sustainably might be verified in the future.
Wind Power Systems Distribution and Optimization in Mainland China
Authors: Wang Haocheng
Published: March 2023

With the fast development and technology evolution, the energy consumption in China has gradually increased, and energy depletion has become a main concern. In recent years, with the promulgation of new energy policies, wind power plant, as a clean energy source, has gradually attracted people’s attention, and wind power generation technology has been progressed and developed. This paper will assess and summarize the wind capacities and results of this operation through observation and comparison of the outcome in different areas. Factors for the distribution of systems are analyzed, providing an explanation for the current state of capacity distributions in the provinces. Comparing the installed wind power systems in east and west China, east China was perceived to have a larger capacity. Further investigation into the reasoning has led to the high wind curtailment rate in different areas of China. Possible reasons were provided, and solutions were given. Wind curtailment and even energy distribution will also be discussed, as well as suggestions for future technology development and power generation planning.
Rational Design of Nanoelectrodes for Highly Efficient Lithium-Ion Batteries
Authors: Gu Yizhou
Published: March 2023

Li-ion battery is a very promising market. Researchers and scientists are trying to improve further the function of all Li-ion batteries on the account that they still cannot meet the customers' requirements and may not be as competitive as the internal combustion engine on traveling distances. The Nanotechnology application of Li-ion battery electrodes affects the general performance such as capacity, energy density, charging and discharging speed, etc. At the atomic scale, the pulverization problem caused by lithiation also limits the growth of batteries. Nanotechnology may be one of the solutions because the strain the material can sustain at the nanoscale is extremely large. The working mechanism of Li-ion helps to have an overall understanding of how batteries work. Replacing graphite with silicon can greatly enhance the battery's performance, but there are still some problems with replacing the electrode material. There are three different types of applications of nanotechnologies that can solve the problems like pulverization: 0D nanoparticles, 1D nanowires, and 2D nanofilms. Nanotechnology is no longer at a laboratory scale and has taken part in the mass production industry.
How neural networks can improve the performance of electrical power systems?
Authors: Xu Qinyi
Published: March 2023

As a new technology, artificial neural network is applied in more and more fields. It is not only popular in the computer field, but also in the traditional energy system. Artificial neural network can solve the problem that which traditional methods used in power system are having difficulty about speed, accuracy and efficiency. This paper will introduce the types of artificial neural networks and its application in power system to analyze how artificial neural networks improve the efficiency of power system. Artificial neural networks have been studied since the 1980s with the rise of artificial intelligence and are dedicated to using nonlinear adaptive information processing capabilities to handle information that cannot be processed by traditional methods. Additionally, applicability of artificial neural network to the collection of clean electricity such as wind energy, solar energy, and tidal energy is discussed. And how ANN can help people choose the right location to build power stations under the interference of complex natural environmental factors. Finally, the defects in the current power system and the possible future development direction of artificial neural networks is explained.
Composition Analysis and Identification of Ancient Glass Products
Authors: Li Linze
Published: March 2023

Based on the research on the rules of the classification of the two kinds of glass as the goal, take glass types as the dependent variable, the chemical composition content is the independent variable, and establish a model of decision tree classification, is based on chemical component content of glass type classification rule, then to analyze the chemical composition of each category, according to the laws of the elbow to calculate the clustering analysis, the optimal class number of k, the K-means clustering algorithm was used to subclassify the glass into K classes and quantify the types. The type was taken as the dependent variable, and the content of each chemical component was taken as the independent variable for decision tree classification. The sub-classification results based on the content of each chemical component and the chemical variables with significant effect on the sub-classification results were obtained. Perturbation was introduced to the chemical variables that had a significant effect on the subclassification results, and the subclassification changes after perturbation were studied to verify the sensitivity of the classification results. The results showed that the accuracy and sensitivity of the model were good.
Study on Composition Analysis and Identification of Ancient Glass Products
Authors: Lai Baowei , Sun Lanxin
Published: March 2023

The Silk Road, as a channel of cultural exchange between China and the West in ancient times, promoted the development and dissemination of glass technology and culture in ancient China. The analysis of the chemical factors of ancient glass is of great help to the study of the economy. The main research content of this paper is to analyze the chemical content of ancient glass products. To analyze the correlation of different types of chemical components, first of all, this paper uses SPSS to carry out grey correlation analysis. According to the grey correlation degree, we can screen out the elements with the greatest degree of correlation between each chemical component and it. Then, the paired samples t-test was used to analyze the differences in chemical composition association between different categories. At the significance level a = 0.05, it was found that except for SO2, there were significant differences in the chemical composition of other elements among different categories.
Marine Energy: Comparison of Tidal and Wave Energy
Authors: Chen Fuyang
Published: March 2023

Marine energy is one of the forms of renewable energy that is one of the most widely available sources of energy; the oceans cover around 71% of the earth's surface, which means that there can be huge potential in energy. The majority of the technologies that are used to harvest marine energy are still in their developmental stages. Marine energy includes tidal energy, wave energy, osmotic energy, ocean thermal energy, and ocean current energy. Researchers all across the world, as well as people developing industries, are paying attention to the potentially lucrative field of marine energy. Since more than half of the US population lives within 50 miles of the coast, marine energy resources are spread out and in a good place to power cities. These resources are prospective contributors to a reliable, steady sustainable energy infrastructure because they are also quite predictable. This article provides an overview of the current state of the art in marine energy and explores tidal and wave energy in detail including the benefits and limitations of both.
Preface: 2nd International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2022)
Authors: Rosalind Phyllis , Su Xuelin
Published: March 2023

The organizing Committee of BBBS 2022 warmly welcomes authors to join 2022 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2022: http://www.iwbbbs.org/), held on December 30-31, 2022 in Singapore.

The aim of BBBS 2022 is to provide a platform for researchers, engineers, academicians, as well as industrial professionals, to present their research results and development activities in Bioinformatics, Biochemistry, Biomedical Sciences. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration. This two-day conference is being organized in technical association with Asian Union of Information Technology and will include invited keynote talks and oral paper presentations from both academia and industry to ignite our young minds, to initiate them in the field of meaningful research and thereby enrich their existing knowledge.

BBBS 2022 has received 171 manuscripts. And less than 50 submissions had been accepted by our reviewers. Articles submitted to the conference should report original, previously unpublished research results, experimental or theoretical and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic.

Hopefully, all participants and other interested readers benefit scientifically from the proceedings and also find it stimulating in the process.

With our warmest regards,

Phyllis Rosalind, Xuelin Su

Nanyang Technological University, Singapore
Gut Microbes and Treatment of Cancer
Authors: Dong Qinkun
Published: March 2023

The gut microbes act as a barrier to pathogens and play an important metabolic role. If the balance between gut microbiota and the human body is disrupted, it will cause a variety of diseases. The gut microbiota is a contributing factor to cancer development. Firstly, this paper describes the influence of gut microbiota on cancer development. Secondly, the role played by gut microbes in Cancer radiotherapy, chemotherapy, and immunotherapy, focusing on the relevance and research progress of gut microbes and cancer immunotherapy.
Cluster Analysis of Cancer Incidence among Smoking Men in China
Authors: Liao Mingyue
Published: March 2023

In recent years, the incidence rate and mortality of lung cancer have shown a rapid growth trend, and its pathogenic factors have also attracted widespread attention. At present, it is universally acknowledged that smoking has a strong correlation with lung cancer. Statistics show that 80% of lung cancer patients have smoking history. At the same time, it is also pointed out that quitting smoking in normal people can change the composition of intestinal flora; And in the normal population and patients with inflammatory bowel disease, the composition of intestinal flora between smokers and non-smokers is different. But now, in colorectal adenoma and colorectal cancer patients, the impact of smoking on intestinal flora is still unclear. To sum up, this topic plans to further study the relationship between smoking, intestinal flora and colorectal tumors. Cluster analysis was used to comprehensively evaluate and classify the incidence data of malignant tumors in 32 tumor registries in China, so as to further understand the regional distribution characteristics of malignant tumors in China. The results showed that compared with normal healthy people, the composition of intestinal flora in patients with colorectal cancer was different, and smoking could also change the intestinal flora. However, whether intestinal flora plays a role in promoting the occurrence and development of colorectal cancer by smoking needs further study.
Injury Incidence, Risk Factors, Prevalence and Rehabilitation of Injuries of Ankles in Professional Basketball Players
Authors: Ma Mingze
Published: March 2023

Basketball, as one of the most famous sports in the world, has resulted in numerous injuries to professional basketball players. The most common injuries during basketball games are tooth damage, knee meniscus injury, collateral ligament damage, lumbar disc herniation, triangle cartilage disc of the wrist damage, knuckle contus++ion, active and passive strain, and ankle injuries. Ligaments in the ankle are easily injured; the severity of the injury is determined by the angle of the ankle sprain and the extent of ligament damage. Inadequate preparation, injury histories, age, and so on can all be risk factors. When an ankle sprain occurs, people should treat it properly, such as the Ice treatment and the well-known protection, loading optimal, ice, compression and altitude treatment and etc. In the short run, ankle rehabilitation training can be an effective treatment when the ankle is sprained. If it has the ankle spraining performance, Coaches and athletes are more likely to take countermeasures aimed at reducing the risk of injury.
Brief Description of the Human Immune System
Authors: Xiang Kexi
Published: March 2023

Due to the invention of mRNA vaccines and tumor immunotherapy, immunology has become the hot spot in recent years. It is believed that the immune system in the human body can protect us from pathogens and tumors by self-nonself discrimination. Here, we briefly review the composition of the immune system, including immune organs, cells, and molecules. After that, we conclude the fundamental biological process of how a body generates humoral and cellular immune responses after recognizing antigens, hoping to gain a deeper understanding of the human body's immune system.
Antioxidant Activities of Pediococcus Acidilactici GR-66 and Proposed Chromium (VI)-reducing Mechanism
Authors: Wang Yunyue
Published: March 2023

Chromium (Cr), one of the most common heavy metals in industry, is an environmental pollutant and has been recognized as a carcinogen to humans. Some probiotics can reduce oxidative stress induced by Cr (VI), but the underlying mechanism has not been fully uncovered. In this study, five probiotic strains have been identified from fermented milk of yak and assessed their antioxidant capability. P.acidilactici  GR-66 demonstrates the greatest antioxidant capability in vitro and then was orally administered to mice for 3 weeks as the treatment to Cr(VI) exposure. Results manifest that GR-66 can significantly alleviate Cr (VI)-induced inflammation and oxidative stress in vivo. Since the colonization number of GR-66 is less than 1%, GR-66 was not directly involved in intestinal Cr (VI) remediation but adjusted the gut microbiota. Sequencing of GR-66 recognized gene comp998 encoded enzyme that has been later aligned with NCBI database and identified a structure similar to flavodoxin 2HAY. Thus, we proposed that the comp998 reduce Cr (VI) to Cr (III) by transferring electrons through FMN.
Explore the Mediating Effect of Health-Related Quality of Life in Patients with Maintenance Hemodialysis based on Resourcefulness
Authors: Zhong Jieru , Zhou Dandan
Published: March 2023

Objective: This study aimed to determine the determinants of depressive symptoms (DSS), sleep disorders, anxiety, and health-related quality of life (HRQOL) in maintenance hemodialysis patients. Methods: A descriptive, correlational design was used to evaluate 1330 maintenance hemodialysis patients. Participants were interviewed face-to-face to collect demographic information and disease characteristics, assess self-control schedules, and survey health status. Correlation analysis, t test, analysis of variance and regression analysis were used for analysis. Results: According to the recommended classification of DSS, 56.4% of the patients had mild (31.1%), moderate (18.9%) or severe (6.2%) depressive symptoms. The pain caused by illness was positively correlated with depression, and negatively correlated with resourcefulness (- 0.28), PQOL (-0.24) and MQOL (- 0.42). Education was negatively correlated with depression (-0.19), positively correlated with resourceiness (0.28), PQOL (0.16) and MQOL (0.28). Age was positively correlated with depression and resourceiness, and negatively correlated with PQOL (- 0.48) and MQOL (- 0.18). Highly educated participants were more likely to have better PQOL and MQOL. Lower DSS. Higher monthly household income is more likely to have better MQOL and lower DSS, and there is no correlation with PQOL. Higher education is associated with more sleep disturbances, resourcefulness, and anxiety; The higher the monthly income, the lower the anxiety and the higher the resourcefulness; Stage II patients have more sleep disorders, resourcefulness, anxiety; People with depression tend to have more sleep disturbances, resourcefulness, and anxiety. Conclusion: Nursing professionals need to spot mental illness and must be especially vigilant for those with mental retardation and sleep disorders. The impact of resourcefulness on health-related mental and physical quality of life was identified in maintenance hemodialysis patients, where resourcefulness played a beneficial role as a mediator of symptoms from pain to depression, PQOL, and MQOL, respectively. Resourcefulness has an effect on reducing depressive symptoms in maintenance hemodialysis patients.
Review on the Application of Artificial Intelligence in Bioinformatics
Authors: Liu Chuning , Liu Xuan , Shangguan Haotian , Wen Siyan , Zheng Feiyang
Published: March 2023

Compared with traditional data, biomedical data has the characteristics of less samples, high dimension, unstructured data, more types of data, and huge amount of data. Bioinformatics processing requires the intersection of statistics, mathematics, and computer science. Artificial intelligence technology has been used in genome annotation, drug design, structure prediction and other research, helping biologists to screen, process, interpret and utilize the huge data collected in biological research. This paper reviews the application of artificial intelligence in biological information, introduces the application and research progress of machine learning in gene analysis, disease diagnosis, brain image processing, etc., and finally summarizes the full text.
Clinical Effect of Integrated Chinese and Western Medicine in Treating Chronic Bronchitis and Complicated with Emphysema
Authors: Li Gukun
Published: March 2023

Chronic bronchitis is a chronic inflammatory disease caused by lung dysfunction caused by various causes. Clinically, the main manifestations are chronic cough, sputum cough and chest tightness and other symptoms, and accompanied by emphysema in patients with dyspnea, cough and asthma are more obvious. According to statistics, the prevalence rate of Chinese adults is 4.2%~6.4%. At present, the research on chronic bronchitis complicated with emphysema at home and abroad is still in the early stage or mainly in the acute attack stage, which is mostly related to the long-term use of non-steroidal anti-inflammatory drugs, surgical treatment and smoking. For patients with chronic bronchitis and emphysema, it is not feasible to use antibiotics alone, while TCM treatment can not only improve the symptoms but also improve the quality of life of the patients. This paper will summarize the clinical effect and prospects of Chinese and Western medicine in patients with chronic bronchitis and emphysema in recent years.
The Effect of Active Vitamin D on Coronavirus
Authors: Hu Xuanye
Published: March 2023

Coronaviruses, especially Beta coronaviruses (β)is a threat to humans since it spreads easily. Although we are yet to find a cure to COVID-19, there are various approaches to prevent its spread, including UV and heat inactivation. However, recently scholars have identified an increased relationship between vitamin D-deficiency and the severe COVID-19, making it a feasible intervention to treat or prevent COVID-19. We can obtain vitamin D directly through sunlight, diet, or supplementation. Vitamin D, especially vitamin D2 and D3 prevents COVID-19 by enhancing anti-inflammatory and eradicating pro-inflammatory cytokines and acting as an antiviral by augmenting B-defensin and antimicrobial peptides cathelicidin, declining viral replication. People with vitamin D deficiency are more susceptible to SARS-CoV-2 than normal peopole. Vitamin D is safe and has limited adverse events because although it is a fat-soluble vitamin, humans rarely experience vitamin D overdose, including vitamin D overdoses due to sunlight.
Preface: 4th International Conference on Computer Science and Intelligent Communication (CSIC 2022)
Authors: Reade Elaine , Zhuang Taimin
Published: March 2023

2022 4th International Conference on Computer Science and Intelligent Communication (CSIC 2022) was held online in Tianjin, China during December 17-18, 2022. Due to the evolving public health concerns and travel advisories issued for the avoidance of non-essential travel in view of COVID-19, the CSIC 2022 has been held virtually with about 105 guests. It was a fully synchronized online conference that had live Q&A, participants jointly listened to presentations. The conference program was organized in 4 sessions, with 6 plenary and 26 specialized papers presented. Each plenary speech lasted for 30-35 minutes, including 5-10 minutes for Q&A. While for other sessions, there was 10-15 minutes for each presentation, including 3-5 minutes for Q&A.

CSIC 2022 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 computer science, information engineering, intelligent computing, communication technology. A key aspect of this conference is the strong mixture of academia and industry. This allows for the free exchange of ideas and challenges faced by these two key stakeholders and encourage future collaboration between members of these groups.

All papers in this proceeding were subject to peer-review by conference committee members and international reviewers. The papers were selected for the proceedings based on quality and relevance to the conference. We express our gratitude to all people who contributed to the review process and did all their best to enhance the scientific merit and quality of the Proceedings. We are also grateful to the authors for their contributions, to the speakers and participants. We wish to extend our warmest welcome to all interested participants to the next CSIC.

The CSIC Organizing committee

Tianjin, China
Development of Forest Carbon Sequestration Model
Authors: Zhao Jingtong , Ma Song , Yin Quancheng , Fan Xinhao , He Xiaofa
Published: March 2023

Firstly, the factors affecting carbon sequestration are analyzed based on tree age, precipitation, temperature and light. On this basis, the carbon sequestration model is developed by combining K-means clustering, regression analysis verification and grey prediction model. Finally, the carbon sequestration model is used to predict the trend of carbon sequestration content of six vegetation types in the next two years. The research results provide guidance for sequestration of carbon dioxide.
Review of Quantum Computer Development
Authors: Xiao Kang
Published: March 2023

In recent years, quantum computers have been attracting attention. Quantum computers have become a hot topic of research in today's scientific research. This paper first introduces the basic principles of quantum computers, including the storage principle and quantum logic gates, then introduces a quantum algorithm, then introduces the organization of quantum computers, and finally is a discussion that will evaluate the strengths and weaknesses of quantum computers, and discusses the physical implementation of quantum computers and the outlook on quantum computing.
Comparisons of Stock Prediction Methods Based on Recurrent Neural Networks
Authors: Shao George
Published: March 2023

These instructions give you guidelines for preparing papers for DRP. Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at DRP. Paper titles should be written in uppercase and lowercase letters, not all uppercase. Avoid writing long formulas with subscripts in the title; short formulas that identify the elements are fine (e.g., "Nd-Fe-B"). Do not write “(Invited)” in the title. Full names of authors are preferred in the author field, but are not required. Put a space between authors’ initials. The abstract must be a concise yet comprehensive reflection of what is in your article. In particular, the abstract must be self-contained, without abbreviations, footnotes, or references. It should be a microcosm of the full article. The abstract must be between 100 - 300 words. Be sure that you adhere to these limits; otherwise, you will need to edit your abstract accordingly. The abstract must be written as one paragraph, and should not contain displayed mathematical equations or tabular material. The abstract should include three or four different keywords or phrases, as this will help readers to find it. It is important to avoid over-repetition of such phrases as this can result in a page being rejected by search engines. Ensure that your abstract reads well and is grammatically correct.
Fruit Image Classification Using Convolution Neural Networks
Authors: Yang Yifan
Published: March 2023

Artificial intelligence has been used in many places in people's daily life, and there are more and more methods to classify objects by using deep learning. However, at present, the technique of fruit classification is mainly manual classification, and the accuracy of mechanical classification needs to be improved. The ideas for fruit recognition are primarily focused on distinguishing the shape, texture, and colour of fruits. Therefore, this paper uses deep learning technology since the performance of deep learning in the field of computer vision is better than that of traditional machine learning. The convolutional neural network (CNN) of deep learning will automatically learn the features of different fruit images to establish a model for predicting fruit types. In this paper, four CNNs models with different structures are compared with the prediction results for 131 different types of fruit. The data showed that the best model provided 98.2% accuracy.