bluuebunny/crossref_metadata_2025 huggingface dataset:
Maternal complications, mode of delivery and fetal outcome in obese women
Authors: Devi B. Nithya , Priya S. Senthil , Jeyamani B.
Published: August 2022

Background-Obesity among fertile women is reaching epidemic proportions. Mothers who are overweight or obese during pregnancy and childbirth are known to be at risk of significant antenatal, intrapartum, postpartum and neonatal complications. Objectives- To evaluate the effect of obesity on the maternal and perinatal outcomes in pregnancies complicated by obesity. Material and methods:It was a Prospective case control study conducted among pregnant women with BMI>30 (kg/m²) attending obstetrics OPD of Vinayaka Mission’s KirupanandaVariyar Medical College & Hospital, Salem between MARCH 2022 to AUGUST 2022. 50 pregnant women were selected through purposive sampling technique who were attending OPD with obesity during the study period and 50 controls who are also pregnant but not obese attending the same OPD. IBM SPSS version 22 was used for statistical analysis. Results: The mean of Age was 23± 3.43 among controls and it was 25± 4.14 among cases the majority of the participants belonged to 20-24 years. A maximum number of cases 42 (93.51%) and controls 40 (82.19%) belong to class III socioeconomic status and the difference between 2 groups was statistically significant (P-value 0.03). 48.05% were Multiparity among cases and 40 (51.95%) participants were primiparity.
prospective randomized comparative study between Sustained release vaginal insert and intracervical gel in women with unfavourable cervix at term pregnancy
Authors: Nivethitha S. K. , Jeyamani B.
Published: August 2022

Background-Induction of Labour (artificially initiated labour) is a common obstetric practice in pregnant women throughout the world, accounting for 20% of all births. Induction of Labour should be performed only when there is a clear medical indication for it and the expected benefits overweigh its potential harms. Objectives- to compare between the two formulations of dinoprostone and study the better option among the two, in cervical ripening and labour induction in women with unfavourable cervix. Methods- It was a Prospective randomized comparative study done in total 100 consecutive term pregnant women who underwent labor induction for fetal or maternal indications were divided randomly into two groups. Group A - sustained release vaginal insert and Group B - Intracervical gel. Informed consent was taken from each patient. SPSS (Version 22.0) was used for analysis. Results- Statistically significant increase in final Bishop’s score (p=0.01) and hyperstimulation (p=0.04) was seen in Vaginal insert group as compared to Intracervical gel group, while there were no statistically significant differences in maternal outcomes, neonatal outcomes and need for oxytocin augmentation in both groups.
The effect of aluminum electrode distance in electrocoagulation as a reductor of heavy metal lead (Pb) in water: An environmental health study
Authors: Winarko Winarko , Kriswandana Ferry , Tohari Imam , Nugroho Heru Santoso Wahito
Published: August 2022

Electrocoagulation uses an aluminum electrode toreduce lead in water through a chemical reaction. The previous study employed a voltage of 20 volts, a current of 10 amperes, and a contact time of 60 minutes to reduce lead. This follow-up study is still being conducted on a laboratory scale in order to determine the ideal electrode distance. The study's goal was to examine the influence of electrode spacing of 15 cm, 17.5 cm, and 20 cm on the decrease in lead in water at a voltage of 20 volts and a contact period of 60 minutes. The study had a true experimental design with a post-test only control group. Data gathered from 6 replications of 4 treatments, with the factors pH and current strength taken into consideration. The results revealed a difference in lead decrease. The difference occurred at 15 cm electrode distance with a drop of 0.018 mg/liter and 20 cm electrode distance with a decrease of 0.024 mg/liter. pH and current strength did not affect the decrease in lead in variations in the distance of the reactor electrode. The best lead reduction occurred at the Aluminum electrode with a distance of 20 cm.
Comparison of obsessive beliefs, depression and anxiety in patients with suspected COVID-19 and healthy patients in Razi Hospital, Ahvaz
Authors: Fakhri Ahmad , Mohsenikhah Meisam , Hamedpour Hoda , Sadeghi Behrokh , Davarpanah Mohsen , Delshad Eraj , Shafaiyan Marzieh , Ariafar Shahram , Moradi-Joo Ehsan
Published: August 2022

Introduction: The prevalence of psychological disorders has a major impact not only on mental and physical health but also on the process of treatment, recovery and duration of hospitalization and referrals. The aim of this study was to compare obsessive beliefs, depression and anxiety in patients with suspected Covid-19 and healthy individuals in Ahvaz. Methods: This descriptive-analytical study was conducted using purposive sampling method, 150 patients with Covid-19, 150 suspects and 150 healthy patients referred to Razi Hospital. Information using questionnaires Obsessive beliefs, depression and anxiety were collected and data were analyzed using multivariate analysis of variance. Results: The results showed that there were significant differences between patients with Covid-19, suspected patients and healthy individuals in terms of obsessive beliefs, depression and anxiety (p <0.001). Mean obsessive beliefs (132.35±17. 17.64) and depression (11.01±4. 4.17) were higher in patients with Covid-19 than in the other two groups (p <0.001), and anxiety (22.62 ± 5.72) was higher in patients with Covid-19 than in the other two groups. The other two groups were higher (p <0.001).
What experience the individual and family of patients with cardiovascular difficulties?
Authors: Farahzadi Yeganeh , Israfilian Forough , Panaghi Leili , Farahani Maryam Moshkani
Published: August 2022

This research identifies the main themes and internal states of heart disease experience in individuals and families of patients with cardiovascular difficulties.It is applied in terms of purpose and methodologically qualitative and phenomenological. Its population is patients admitted to Baqiyatallah Azam Hospital. It includes the patients who had a long and severe chronic illness in this area (or without long and severe chronic illness). We performed in-depth semi-structured interviews with 6 patients in the CCU ward of Baqiyatallah Al-Azam Hospital. With the introducing 4 family members of the participants, the number of people with whom we worked until the final stages reached 10 (two participants refused to introduce their family members). We analyzed data using the methods proposed by Van Manen and Colaizzi.According to the results, the main themes of experiencing heart disease are initial experience of cardiovascular (malfunction) difficulty, experience of internal conditions related to cardiovascular disease, family's initial experience of cardiovascular disease, atmosphere governing the participant's life before heart disease,  the last slices of life before experiencing cardiovascular disease, perceived changes after experiencing cardiovascular disease, and experiencing cardiovascular disease. Regarding the initial experience of cardiovascular difficulty (dysfunction), sub-themes include reported symptoms, type of diagnosis, and duration of illness.
Evaluating the levels of interleukin-6 and interleukin-10 as potential biomarkers for the severity and mortality in COVID-19 patients
Authors: Al-Hatemy Mohammed Dakhil Bareez , Mohsin Muslim Idan
Published: August 2022

Objective: Evaluating the levels of pro-inflammatory cytokine (IL-6) and anti-inflammatory cytokine (IL-10) among patients with COVID-19. Methodology: A study is conducted during the period from 1st November 2021 to 1 st April 2022 , 110 patients were diagnosed as COVID-19. Their ages range between 20-81 and more years old, Who attended to AL-Amal Specialized Hospital for Communicable Diseases at first week of  infection with symptoms (fever, Headache, cough, shortness of breath, diarrhea, loss of taste and smell), and compared with 50 apparently healthy individuals as control group. The diagnosis of each case was established using clinical diagnosis and confirmed by reverse transcriptase polymerase chain reaction (rt-PCR), 5 ml of fresh venous blood samples were collected from COVID-19 infected patients by sterile syringes and saved in serum separator tube (SST) with specific gel to easy sorting the serum, then left for 20 minutes at room temperature. After coagulation, sera were separated by centrifuge 4000xg for 15 minutes and directly stored at -20 ºC to be analyzed later for IL-6 and IL-10 assay.
Imaging of COVID-19 Patients to assess predisposing factors causing mucormycosis
Authors: Anupritha S. , Yuvabalakumaran G. , Sathiyanarayanan R. , Sidhesh R. M.
Published: August 2022

Introduction: With the second wave of Covid 19, the incidence of mucormycosis has seen an upsurge in patients recovered from Covid 19 infection. Aims & Objectives: The present study aims to describe the various symptoms reported by the patients and to describe the various CT findings in the patients suffering from Mucormycosis. Materials and methods: This prospective study was done on 21 post Covid cases from May 2021 to July 2021 at Department of Radiology, VMKV Medical College & Hospitals. Patients who have presented with chest complaints and symptoms of sinusitis such as facial pain, headache, nasalblock, orbital swelling and pain were subjected to CT-Chest, CT-PNS. Imaging findings were correlated with clinical history and findings. Results: Radiological findings showed involvement of ethmoid 19/21(90.78 %) maxillary 17/21 (80.95 %) sinus, followed by sphenoid13/21 (61.90%) and frontal 6/21(28.57 %).Out of 2 patients studied, 15 patients (71.43%) had type 2 diabetes mellitus, 5(23.81%) patients had chronic renal failure, 5(23.81%) patients developed acute renal failure and 2(9.52%) patients received immunosuppressive therapy due to myelodysplastic syndrome. Conclusion: Early diagnosis, control of predisposing factors prompt initiation of antifungal therapy and radical debridement of involved sinuses are very essential for improving outcomes.
Predicting the eligibility of placement for students using data mining
Authors: Manimaran P. , Priyadharshini G , Yamuna Devi N
Published: August 2022

Every educational institution uses campus placement to help students achieve their goals. Data mining techniques are frequently used in the educational system, which employs a variety of learning methods and approaches. A predictive model is built based on academic and extracurricular achievements to determine which category of placements (dream businesses, super dream companies, and mass recruiter companies) students are suitable for. Admission and the name of the institution are heavily influenced by placements. The main goal of this paper is to analyze previous year's applicant data in order to predict current students' placement chances and help institutions increase their placement percentage . Our project's main goal is to determine location using student data and to implement KNN models, logistic regression models, random forest models, and SVM models. Our project represents the candidate placement classification provided in the available data set. These algorithms predict the results on their own, and then we compare the algorithms' efficiency based on thedataset. This model assists a company's position cell in screening potential candidates and focusing and improving their technical and soft skills at regular intervals.
Movie recommendation system using machine learning
Authors: Giridharan N. , Nathan K. Senthil , Swetha M. K.
Published: August 2022

A recommendation system is a system that provides online users with recommendations for particular resources, such as books, movies, and music, based on a collection of data from the dataset. These recommendation systems are beneficial for companies that collect information from a large number of customers and aim to provide the best recommendations for the users.Withine-commerce, recommendation systems help in personalizing the user experience by providing items that the user is most likely to be interested in based on similar items that the user has been interested in or items that similar users have been interested in. Using datasets from kaggle to help us analyse the accuracy of our model.Many factors, including the genre of the movie, the actors, and even the director, should be considered while developing a movie recommendation system. The algorithms can recommend movies based on one or a combination of twoor more criteria by using collaborativeand content-based filtering techniques in machine learning.The cold-start problem, or the first lack of item reviews, is a new user issue that affects the most of these techniques. Here provided fresh user demographic data instead of rating history to produce suggestions in order to avoid the cold-start problem in this project.
Harvard Ventures: The Bottom Line Podcast
Authors: Tiernan Virginia , Messinger Georgia , DeVilla Jessica
Published: August 2022

Tuesday March 10, 2020 was the day that Harvard students woke up to the news: campus was officially shutting down. The entire student body had 5 days to pack up their lives, say goodbye to their classmates and professors, and leave. Uncertainty was the overwhelming theme of the days that followed. How long would the campus shutdown last for? What did this mean for graduation? How could classes continue? What would virtual learning even look like? When would we return back to “normal” life? And how could we, as students, do our part to contribute to pandemic related responses and innovations?
Irisin and the Possible Impact on a Cytokin Storm in Athletes with COVID-19: A Case Report
Authors: Knack Rafael , Knack Renata , Hanada Taliê
Published: August 2022

Possible role of irisin as a suppressor of inflammatory exacerbation in athletes at Covid-19. Illustrated by the present report of a crossfit athlete patient, with a genetic profile for inflammatory exacerbation, who acquired Covid-19 and presented a good clinical evolution.
Analysis of COVID-19 Awareness Among Georgia Private High School Students
Authors: A. Merchant Aqil
Published: August 2022

Throughout the coronavirus disease 2019 (COVID-19) pandemic, the Centers for Disease Control and Prevention (CDC) has updated the public on pertinent information regarding COVID-19 developments. However, individuals may also refer to other sources for information, potentially affecting their understanding of the illness. This study aimed to serve as a baseline reference for assessment of Georgia high school students’ knowledge, attitudes, and beliefs on COVID-19. A hypothesis was developed to ascertain three trends: which COVID-19-learning resources were most commonly used by students, how students’ knowledge of COVID-19 would change over time, and how their understanding varied by grade level. An online survey with primarily multiple-choice and check-all-that-apply questions was distributed with 157 private school and 14 public school student respondents, testing them on COVID-19 prevention, treatment, transmission, and symptoms. The hypothesis for this study is that students primarily use non-CDC-affiliated social media to learn about COVID-19. Secondly, the hypothesis states that increasing media coverage of COVID-19 results in a trend of greater student understanding throughout the survey release. The hypothesis’ final component is that older students are generally more knowledgeable about public health threats than their younger peers. Based on the survey results, grade level did not affect knowledge of COVID-19, and students’ main learning resources were online news outlets, family members, and television networks. Although their understanding decreased over time, the changes were statistically insignificant. Respondents remained relatively knowledgeable about COVID-19 and communicated significant confidence in their outbreak-response capabilities. Their primary misunderstandings were of a face mask’s purpose and the length of interaction needed for transmission.
Closing the Supply Gap: How a Student Clinic Organization Adapted Their Role During COVID-19 Clinical Suspension to Support Frontline Providers
Authors: Woodbridge Alexandra , Hopper Taylor , Foroushani Sophia , Perez-Chaumont Andre , Frechtling Dan , Phillips Brett , Ngo Lisa , Dywer John
Published: August 2022

With the emergence of the COVID-19 pandemic and national personal protective equipment (PPE), the Tulane University School of Medicine (TUSOM) Student Clinic Council (SCC) pivoted their focus from community student-run clinics to organizing a PPE drive to address the urgent needs of local hospitals’ supply shortages. Entitled the TUSOM COVID Response Group, the primary goal was to collect and distribute donated personal protective equipment (PPE) to frontline healthcare providers in New Orleans, Louisiana to temporarily bridge the supply chain gap. In total, from March 20th, 2020 to May 6th, 2020, the group distributed 29,217 N95s, 181,467 surgical masks, 22,747 face shields, 1,100 goggles, 3,382 boxes of gloves, 13,446 gowns and coveralls, 4,525 sleeve, shoe, and head covers, 175 pairs of scrubs, 762 bottles of hand sanitizer, 699 bottles of cleaning supplies, and 38 tablets which were distributed to 17 local hospitals and healthcare faculties. During this time, the five student leaders oversaw 82 student volunteers and coordinated donations from 169 individual and business donors. All facets of medical education and medical student organizations have been forced to adapt to the new era of COVID-19. This PPE drive demonstrates the adaptability of medical student organizations and the ability to enact change in their communities beyond their clinic sites.
The Effect of State Mandate Timing on COVID-19 Incidence Rates
Authors: Amin Sahil , Peddu Dhiraj , Majmudar Gaurav , Weber Paul
Published: August 2022

The COVID-19 pandemic has disrupted the global medical system and in the absence of efficacious pharmaceutical interventions, nations, including the United States, have turned to non-pharmaceutical interventions (NPIs) such as public masking and regulation of non-essential public spaces. The application of these NPIs have varied between countries in terms of timing and stringency.1 In the United States, the power to influence these interventions has been left in the hands of individual states. As a result, state officials have been placed under great scrutiny regarding public health mandates with the potential to dramatically change daily case rates. Some states have favored a passive public health approach, meaning slower implementation of NPIs in the form of later masking mandates and earlier openings of public venues. Alternatively, some states have favored an active public health approach, meaning earlier implementation of NPIs in the form of earlier mask mandates and later openings of public venues. The difference in approach between these groups of states has fueled debate on what is the most effective public health strategy.2 Current literature on the topic of COVID-19 based state mandates have focused on individual public health mandates specifically public masking mandates. Mathematical modeling has highlighted that timely and comprehensive NPIs such as public masking are needed to reduce the virus transmission rate to prevent a secondary wave.3 Furthermore, exploration of changes in the daily county-level COVID-19 growth rates during a two-month period from March to May 2020 revealed that mandating face mask use in public is associated with a decline in the daily COVID-19 growth rate.4 Although studies have been conducted on the efficacy of solitary public health mandates, minimal research exists exploring the potential interplay of these mandates when it comes to reopening of public spaces.4 In this study, we explore the effect of timing of government mandates on COVID-19 incidence rates, specifically highlighting two of the more controversial state mandates: mandatory mask usage and bar openings. Our exploration is centered on two states with active public health approaches — New York and New Jersey — and two states with passive public health approaches — Florida and Texas.2 Our intention through this study is to demonstrate the efficacy in sequential active public health planning in response to a pandemic.
Current status of genus Plagiochasma in Nilgiri and Palni hills with SEM details of spores
Authors: Alam Afroz , Srivastava S.
Published: August 2022

Out of 35 species of Plagiochasma described from Asia and Oceania 7 are validly reported from the Indian subcontinent. Six species are known from Nilgiri and Palni hills (South India). Current status of genus Plagiochasma in Nilgiri and Palni hills along with addition of a new species, P. udarii sp. nov., has been described. It also provides the SEM details of sporoderm architecture in species under study area.
Effect of ageing on germination and seedling vigour of teak (Tectona grandis) drupes
Authors: Venkatesan Subramanian , Masilamani Poomaruthai , Eevera Tamilmani , Janaki Ponnusamy , Sundareswaran Sendrayaperumal , Rajkumar Perumal
Published: August 2022

Studies were conducted to find out the influence of accelerated and natural ageing on germination and seedling vigour of fresh teak drupes. The drupes were subjected to the following natural and accelerated ageing treatments viz., control, accelerated ageing for 1 to 15 days at 40oC and 100% RH and naturally ageing (stored at ambient temperature) for 1 to 15 months. The accelerated and natural aged drupes were placed for germination in sand filled earthen pots and kept in sunlight. The experiment was conducted in a Completely Randomized Block Design with ten replications. Germination percentage, number of seedlings/100 drupes, time taken for initial emergence, root length, shoot length, dry matter production and vigour index were recorded 28 days after sowing. The result revealed that the teak drupes subjected to accelerated ageing for 12 days had higher germination (40.6 percent) against 8.2 percent in control and showed an increasing trend with increased period of accelerated ageing (though not very consistently) up to 12 days and thereafter germination was reduced. Whereas in natural ageing treatment, drupes aged 15 months recorded highest germination of 29.2 percent. In natural storage, months after months storage drupes germination was increased. From this study, it could be concluded that instead of storing the drupes over a period of time to natural release of dormancy, 12 days of accelerated ageing enhanced the germination and seedling vigour of teak drupes.
Upaya Meningkatkan Hasil Belajar Pendidikan Jasmani Olah Raga dan Kesehatan (PJOK) Materi Permainan Bulu Tangkis melalui Penerapan Model Pembelajaran Langsung
Authors: Sukardi Sukardi
Published: August 2022

Penelitian ini bertujuan untuk meningkatkan hasil belajar siswa dengan menggunakan model lansung. Subjek penelitian ini adalah siswa yang berjumlah 30 orang. Penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan dalam dua siklus. Setiap siklus terdiri dari 2 kali pertemuan yang di dalamnya terdiri atas perencanaan, pelaksanaan tindakan, observasi, dan refleksi. Data hasil belajar siswa dikumpulkan melalui lembar observasi aktivitas belajar siswa dan penilaian aspek pengetahuan siswa menggunakan tes. Data yang telah dikumpulkan tersebut dianalisis dengan menggunakan analisis deskriptif. Hasil penelitian ini menunjukkan bahwa penerapan Model Pembelajaran Langsung dalam pembelajaran PJOK materi Buku Tangkis dapat meningkatkan hasil belajar siswa. Adapun hasil yang dicapai dalam Penelitian Tindakan Kelas ini adalah: 1) pada aspek sikap pada siklus 1 semua anak sudah mencapai kategori baik sedangkan pada siklus 2, kategori amat baik diraih oleh  3 siswa dan kategori baik dicapai oleh 27 siswa. Jadi aspek sikap sudah mencapai tuntas pada siklus 1. 2) aspek pengetahuan, pada siklus 1 mencapai ketuntasan 70% dengan nilai rata-rata 75,6, sedangkan pada siklus 2 baru mencapai ketuntasan 100% dengan nilai rata-rata 81,17. Dan 3) aspek keterampilan, pada siklus 1 mencapai ketuntasan 73,33% dengan nilai rata-rata 77,01. Sedangkan pada siklus 2 telah mencapai ketuntasan 100% dengan nilai rata-rata 81,68.
Preface: 4th International Conference on Global Economy and Business Management (GEBM 2022)
Authors: Frederick Eugene , Zhang Weijin
Published: August 2022

The 2022 4th International Conference on Global Economy and Business Management (GEBM 2022) for the researchers and scientists was successfully held in Suzhou, China during June 11-12, 2022. This conference provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing the best practice in the fields of global economy, world trade, financial investment, real estate, economic policy, e-commerce and business management. 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.

The GEBM 2022 program covered invited, oral, and poster presentations from scientists working in similar areas to establish platforms for collaborative research projects in these fields. This conference brought together more than 170 participants from industry and academia to exchange and share their experiences, present research results, explore collaborations and to spark new ideas, with the aim of developing new projects and exploiting new technologies in these fields.

Less than 150 contributions have been selected to be published in GEBM 2022. The organizing committee appreciates the enormous work of the both the editorial board and reviewers in the preparation of this volume. Many thanks also to all authors for their flexibility and meeting deadlines.

With warmest regards,

GEBM Conference Organizing Committees

Suzhou, China
Research on the Investment Strategy of Quantitative Trading Based on Random Forest and Genetic Algorithm
Authors: Chen Yuwei , Zhang Yueyang , Lan Yufeng , Liu Yujia , Lin Yaoxiang
Published: August 2022

Gold and Bitcoin are two common investments in the market. Investors profit from the capital market through specific trading strategies. Based on previous price data, this paper established a prediction-decision model, which provides investors with an optimal trading strategy and effectively improves the return on investment. To begin with, we use the past daily price of gold and bitcoin to calculate the Bollinger band, DMA, and MACD characteristics. We used the Random Forest algorithm to predict the next day's price and established a loop to predict all price data. Finally, we got the prediction data with the goodness of fit ( ) as high as 0.98. We intuitively see that the prediction effect is pretty good from the predictive value-real value-line chart. Then, we established the transaction decision-making objective model, used the Genetic Algorithm to select the daily transaction amount, obtained the optimal transaction strategy, and then established a loop to obtain all the optimal strategies. The final total assets were 243,424.76, and the annual return rate reached 6085.62%.
Research on Trend, similarity and difference of Chinese and oversea’ s smartphone brand——Take Apple and Xiaomi as an Example
Authors: Huang Jiaan , Shen Yuyang , Zhang Luqi , Zhuang Yuanxin
Published: August 2022

In the last 10 years, the smartphone industry has risen and gradually become a crucial industry in human beings’ society due to the growth of communicational technology. However, the cost of producing a phone has been cut these years because of the industry’s maturity. More and more brands are to be born in the future. The situation can be an influential factor in developing the smartphone industry. The convergence of the smartphone industry might cause a recession in the industry. The research will focus on the two symbiotic smartphone brands, Xiaomi and Apple, to study their marketing strategy. By comparing various strategies, the study will also predict the smartphone industry and offer persuasive suggestions for the transition of the smartphone industry. The methodology such as questionnaire and case study will be included in the article to gain the analysis data. The research has analyzed and predicted the smartphone industry trend with the data.
Research on the impact and optimizing strategy of live streaming on the Chinese FMCG market
Authors: Xu Yue , Zhang Zhiting
Published: August 2022

This paper mainly focuses on researching what influences live streaming has on Chinese FMCG goods and improvements of live streaming in the future. The live streaming method has been a hot topic since the Covid-19 pandemic. Therefore, it is worth investigating its significance and criticizing some of its shortcomings. This paper’s relevant research methods are case study, literature analysis, and comparative analysis. This paper also demonstrates the industrial, consumer, and company findings and further detects user issues, platform & strategy, and quality & trust issues. In the conclusion of this paper, FMCG companies need to realize what they did well and where they have to work on the method of live streaming. In this case, FMCG companies can illustrate their existing and expected customer segmentation more clearly and tailor practical sales strategies later on.
Application of Blockchain Technology in Cryptocurrency
Authors: Fu Bing
Published: August 2022

This review focuses on blockchain technology, and its application and common problem with reference solution. The blockchain technology is nascent and complex and involves many different fields, which leads to the development of cryptocurrency. However, the crptocurrency has high volatility that demands prompt solution. Deep learning technology is considered as a promising approach to address this issue. After research, this paper develops four models with high efficiency and accuracy, including NLANN, JNN. LSTM and GRN to realize prediction in crptocurrency.
Does Rising Commodity Prices Pose an Inflation Risk
Authors: Yang Guangye
Published: August 2022

In the context of rising commodity prices, this paper mainly analyzes the transmission between domestic upstream and downstream prices and the impact of commodity prices on upstream and downstream prices, and aims to study whether rising commodity prices will cause inflation risks. In this paper, a Vector Autoregressive Model (VAR) is constructed by using time series data of RMPI, PPI, CGPI, CPI and commodity prices in China, and it is founded through impulse response analysis that the upper and midstream prices in China have a significant dynamic transmission effect on the downstream prices, while the downstream prices have a reverse transmission mechanism against the midstream price and the midstream price on the upstream price.Based on this, this paper believes that there is an indirect dynamic transmission mechanism between the rise in commodity prices and the risk of inflation, and there is a transmission time delay, and it is necessary to pay close attention to the structural changes in consumer prices. Finally, relevant policy recommendations were proposed.
Research on the Impact of Credit Expansion on the Synergistic Development of Guangdong's Regional Economy
Authors: Feng Chun , Huang Yu , Pang Jianru , Zheng Guiying , Ke Yuxin
Published: August 2022

Based on the study and understanding of previous literature and works, this article first collects and calculates and collates data on the gross domestic product of Guangdong Province, regional coordination coefficients and credit inputs in Guangdong Province from 2001 to 2019 , and studies the current economic situation of the Pearl River Delta, Eastern Guangdong, Western Guangdong and Northern Guangdong regions in Guangdong Province from the perspectives of total volume, growth rate and degree of coordinated regional economic development; and analyses the total volume and growth rate of credit in Guangdong Province from the perspectives of Regional differences in bank credit.
Correlation Analysis of Gun Violence in the United States from Economic Perspective
Authors: Tian Yi , Wang Yingtong , Xiao Yuxuan
Published: August 2022

Due to the increasing number of serious gun violence in the United States and the growing frequency of gun violence incidents, it is necessary to put ahead significant options and opinions for this problem to interpret applicable data to locate positive rules. In this paper, a study was conducted to discover the relationship between gun violence incidents from economy-related factors. This paper introduces population as an intermediate variable to show their connection. For this purpose, ten data units were set up, and all the unique data units were transformed into MS Excel form for classification and sorting to standardize and unify the data by way of states’ names or years. After that, this study carried out a correlation analysis for ten data features to measure the strength of the relationship between variables and calculate the strength of the relationship. After subcategories of gun violence have been recognized and their correlation has been separately demonstrated, the data can be sorted into a single spreadsheet to test whether the individual feature have a relationship throughout time or state. The analysis outcomes indicate a correlation between economic factors and gun violence, and the extra unstable the regional economic situation, the greater the incidence of gun violence.
The Investment Timing Analysis of Instant Messaging APP: A Case Study based on Fetion and Momo
Authors: Wang Jiaxing , Ye Yongxin
Published: August 2022

The market timing of the investment greatly affects the success or failure of a product. This paper focuses on the communication industry, taking Fetion and Momo as an example to reflect the importance of market timing. We use four basic “Why Now” drivers to illustrate the factors which might have an impact on the two products. This paper compares Fetion and Momo from technology, economic, social, and installed bases, these four aspects. This paper involves the extent mentioned above to show the reasons for the failure of Fetion, in the meanwhile, Momo's survival in the market and also made such success. Then we make decision-making and discussion to prove our points powerful.
A study on the causes and countermeasures of rising Prices in the United States -- Taking food and petroleum as examples
Authors: Liu Zhuolun , Wang Yuyang , Xu Fucheng
Published: August 2022

This paper focuses on the current news in the United States of America about the growing prices. Since 2021, the prices in the United States have grown crazy, and after the war in Ukraine broke out, they increased even faster than before. Now the government of the United States has already taken some measures to solve the problem, but the measures are not useful because the prices are still growing. The paper will analyze the reasons and measures for the growing prices, then provide optimization plans based on existing policies. Considering the ability of the group members, the paper will focus on gasoline and food, which matter in the daily lives of American people and industries and stand out among all the increasing prices in the United States. Overall, the paper’s goal is to find some ideas to solve the price problems effectively and give optimization suggestions to the government of the United States.
Analysis of the Impact of Covid-19 on Daily Chemical Companies and Forecast for Future Development
Authors: Chen Guanlin , Tan Weixuan
Published: August 2022

Covid-19 was the most serious issue in the past two years, and it has influenced many industries a lot. However, little research had qualified and predicted the influence of Covid-19 that had and will have on daily chemical industry. Therefore, this project focuses on the analysis of financial performance of two major daily chemical companies in the pandemic period. In this research, DuPont and Classification analysis were used in the data calculation and measurement, comparison analysis was used while comparing the difference of financial performance between the two companies this study chooses, while the prediction method was applied when predicting the future development. Our research find that GDP decrease dramatically during 2019-2020, to a negative growth. In terms of the daily chemical industry, one of the most major companies, Jahwa faced more challenge in the operating activities, while L'Oreal still have a great potential although it also has been affected in the pandemic period.
A Study on the Factors Affecting Human Consumption from the Perspective of "Differential Order Pattern"--An Empirical Analysis Based on 429 Farming Households in Yan'an City, Shaanxi Province
Authors: Zhang Xiaoyu
Published: August 2022

As an important part of social interaction, human consumption, from the past to the present, has tended to be "over-monetized" and has imposed a heavy economic burden on farming households. Based on the unique structure of rural society -- "Differential Order Pattern", it is crucial to analyze the influence of Affinity, Region and Benefit factors on the human consumption by farmers to improve the problem of alienation of consumption of favors and promote the construction of new rural spiritual civilization. Based on this, this paper uses the Ologit model to analyze whether Affinity, Region and Benefit factors influence human consumption, analyze the degree of influence, and obtain the following conclusions: (1)Affinity factors are still the main influencing factors of farmers' human consumption, and Region factors are weaker than in the past; (2)The original pattern of "Differential Order Pattern" has changed. Benefit factors have become an important consideration in farmers' human consumption; (3)Low-income households' human consumption is more likely to be influenced by Affinity and Benefit factors than high-income households' human consumption.
Exploring Life Quality Index via Education Level and Population Density
Authors: Che Wenqi , Du Meiyi , Feng Qiteng
Published: August 2022

The subjective nature of quality of life, makes it complex to measure the quality of life. Among them, finding a few key criteria that affect the quality of life in cities will be the main purpose. In this study, a linear regression model was used to predict the numerical relationship between population density, bachelor's degree rate and education Gini index, and further Akaike information criterion (AIC) and Bayesian information criterion (BIC) were selected to validate and adjust the model, and finally F-test was used to compare the initial model with the adjusted model. In addition, the random forest algorithm was used to classify the quality of life of each city by population density as well as education level to identify the common characteristics of cities with high physical quality of life index. Three classification decision trees created using different combinations of population density, bachelor's degree rate and education Gini index were used, followed by additional multiple decision trees generated by the random forest algorithm. The final results of the receiver operator characteristic curve (ROC) curves and confusion matrix of the two sets of decision trees were observed and evaluated to stratify the cities. The experimental results show that population density has a negative effect on quality of life, while bachelor's degree rate has a positive effect. Although the three indicators of population density, bachelor's degree rate and education Gini index cannot effectively distinguish the four levels, they can effectively distinguish which cities are not the first level. it shows that cities that achieve high education level and low population density are not necessarily the cities with the highest quality of life, but those that do not are definitely not.
An empirical study on supply-side structural reform for industrial structure upgrading based on panel data in western China
Authors: Fu Yue , Luo Yongjian , Liu Hao
Published: August 2022

In the context of economic downturn, structural contradictions are becoming more and more prominent, and to solve this problem, General Secretary Xi Jinping first proposed "supply-side structural reform" on November 10, 2015. Based on the panel data of western provinces from 2015 to 2020, the paper uses the industrial structure rationalization index (SR) as an index to measure industrial structure upgrading, and explores the influence mechanism of supply-side structural reform on industrial structure upgrading through fixed-effect, random-effect, and mixed-effect models. The robustness test further verifies that the supply-side structural reform has a robust and positive impact on industrial structure upgrading.
Research on the Correlation between Economic Growth and Inflation——An Empirical Analysis Based on VAR Model
Authors: Li Xinyi
Published: August 2022

Economic growth and inflation are two important issues that the government needs to consider when making macro policies. Therefore, it is necessary to clarify the relationship and interaction mechanism between the two. This paper uses the data of Xinjiang and Xinjiang from 1978 to 2020, and conducts an empirical study on the relationship between the two by establishing a VAR model. Through a series of analysis, it is found that the relationship between economic growth and inflation in Xinjiang has shown differences in the past 42 years. In the case of Xinjiang, there are alternating positive and negative effects of economic growth on inflation, but there is no significant effect of inflation on economic growth. Combining the empirical findings with the theoretical analysis, this paper argues that the Xinjiang government can help maintain market stability and good macroeconomic operation by strengthening the monitoring of economic development and improving the predictability and effectiveness of price level regulation.
Disney business model research
Authors: Hao Yihao , Wang Yuxiao
Published: August 2022

Disney's influence has been expanding worldwide, and has even set off a Disney storm, which has had an important impact on people's view of consumption and entertainment. Disney's great success is mainly due to its perfect business operation model, on the one hand, Disney's legendary classic cartoon works extracted cartoon characters and and animation scenes, and through sophisticated ideas, will be designed into all kinds of humane, realistic and fun theme scenes, to bring consumers a diverse and happy experience; second, Disney is very concerned about the emotional experience of consumers, in the design of various amusement Second, Disney is very concerned about the emotional experience of consumers, in the process of designing various amusement theme, always put the personalized experience of consumers in the first place, and is committed to the consumers to experience the realistic animation scene. Disney is very concerned about the Internet among consumers, which is also the main reason for Disney's great commercial success. This paper provides a brief overview of the research topic, followed by an overview of the relevant research on Disney's business model by domestic and international scholars, and a review of the research content. Finally, we summarize the research findings and propose the future research direction of Disney's business model. We hope that the research content of this paper can help people understand Disney's business model and development strategy more comprehensively, and provide reference for the development of related enterprises and urban theme parks in China.
The progress and state-of-art applications of machine learning for stock price prediction
Authors: Gong Yixin
Published: August 2022

Stock price is an unstable time series affected by plenty of factors. Since various noises have significant impacts on its trend, the way to realize more accurate forecasts in terms of multidimensional data features has become a concern for scholars worldwide. Among all the methods, machine learning approaches are one of the popular ideas in recent years. This paper introduces the meaning of stock price prediction and the development of machine learning in this field for the past few years. Theoretical background of Random Forest, XGBoost and LSTM are provided and the state-of-art researches based on the above methods are also summarized. It concludes with a discussion of these models and the limitations of this paper, as well as an outlook for future work. The study aims to synthesize the scattered sources of information for the reference of later scholars. As a result, human beings can find better ways to maximize investment benefits and warn of stock market crises in years to come. Overall, these results shed light on guiding further exploration of stick price forecasting.
The Impact of Trade Policies on Promoting Growth in Developing Countries
Authors: Jiang Wanlin , Zhang Zhining
Published: August 2022

This study analyzes the successfulness of four categories of policies, which are tariff reduction, infrastructure development, business investment, and educational advancement in the growth of developing countries, shown by GDP and employment as the indicators. By predicting the impact of the tariff reduction model on trade and analyzing the theory of the implication of import and export volumes on economic growth, it is concluded that there is no direct correlation between tariff reductions and GDP growth. Data suggest that the present relationship between educational development and economic growth is negative, but the literature also studies that the results of GDP growth need to be shown in the long term, and it is difficult to derive long-term effects from the example chosen in the study. As for the second indicator of growth, which is employment, the overall impact of tariff reduction and education enhancement policies tend to be positive, even though the literature suggests conflicting views on the causal relationship between all four policies and employment. While empirical results show that the stimulation of infrastructure investment and business investment shows a significant positive correlation with GDP growth in each country.
The Analysis of Chinese Monetary Policies in Asian Financial Crisis and the COVID-19 Period and the Policy Forecast
Authors: Shi Yisha
Published: August 2022

In July 1997, the Asian Financial Crisis significantly impacted regional and global economies, particularly in Asia. Similarly, two decades later, the COVID-19 has had a great influence on the Chinese economy as an exogenous element of the demand shock. Bothe the two issues were linked to the contagion effect and asset bubbles. This article discusses the monetary policies used during the two periods and compares and forecasts the monetary strategy based on the current economic status. The Chinese government is suggested to continuously carry out expansionary monetary policy for enterprises and household consumption and helps establish a wider range of digital economy, and helps establish a wider range of digital economy including rural areas.
The New Retail Mode of Superstores in the Internet Environment
Authors: Han Jiamu
Published: August 2022

With the development of the Internet, the new electricity industry rapid rise retail industry is breaking through the traditional model, trying to offline real economy combined with online sales channels, and rely on the virtual store for operating singly traditional electricity due to the lack of communication channels, in the face of a lack of traffic, its system problems such as difficult to adapt to market demand. In the context of new retail, this paper summarizes the changes made by several influential retailers in the current industry to cope with the development of the Internet by referring to the literature, analyzing the representative businesses and obtaining their characteristics, to provide reasonable suggestions for the development of the new retail model and promote the expansion of market scale.