bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH KONSUMSI MAKANAN DAN POLA ISTIRAHAT TERHADAP PRODUKSI ASI PADA IBU PASCA MELAHIRKAN DI KELURAHAN TALANG BAKUNG
Authors: Ningsih Nisa Kartika
Published: November 2022

Latar Belakang: Menyusui merupakan salah satu investasi terbaik untuk kelangsungan hidup dan meningkatkan kesehatan, perkembangan sosial, serta ekonomi individu. Lancarnya produksi ASI dipengaruhi oleh beberapa faktor antara lain, BB saat lahir, frekuensi pemberian ASI usia ibu dan paritas, Inisiasi Menyusu Dini, penyakit akut dan stres, keberadaan perokok, konsumsi alkohol, perawatan payudara, penggunaan alat kontrasepsi dan status gizi. Tujuan: Penelitian ini bertujuan untuk diketahuinya Pengaruh Konsumsi Makanan Dan Pola Istirahat Terhadap Produksi ASI Pada Ibu Pasca Melahirkan. Metode: Pada penelitian ini peneliti menggunakan jenis penelitian ini observasional menggunakan desain kohort prospektif. Rancangan kohort prospektif yang merupakan rancangan penelitian dengan mengelompokkan atau mengklasifikasi kelompok menyusui dan tidak menyusui, selanjutnya dipantau sampai dengan waktu tertentu untuk melihat ada atau tidaknya fenomena. Hasil: Penelitian uji bivariat dengan chi-square didapatkan pengaruh konsumsi makanan p value 0,097,pengaruh pola istirahat p value 0,046, pengaruh variabel luar perawatan payudara p value 0,047, variabel luar faktor isapan bayi dan frekuensi menyusu p value 0,886 . Kesimpulan: Tidak ada pengaruh antara konsumsi makanan dengan produksi ASI, tetapi terdapat pengaruh antara pola istirahat terhadap produksi ASI, dan terdapat pengaruh dari variabel luar yaitu perawatan payudara terhadap produksi ASI.
KNOWLEDGE AND ATTITUDE OF ADOLESCENT WOMEN ABOUT HAEMAGLOBIN EXAMINATION AT SMAN 3, TEBO TENGAH DISTRICT TEBO DISTRICT IN 2022
Authors: Lestari Siti
Published: November 2022

anemia merupakan kelanjutan dampak dari kurang zat gizi besi Makro pada (karbohidrat, protein,lemak) dan kurang zat mikro (vitamin,Mineral). Prevalensi anemia pada remaja di Indonesia masih cukup tinggi. Dampak anemia pada remaja putri yaitu pertumbuhan terhambat, tubuh pada masa pertumbuhan mudah terinfeksi, mengakibatkan kebugaran tubuh berkurang, semangat pelajar/ prestasi menurun. Penelitian ini bertujuan untuk mengetahui Pengetahuan dan Sikap Remaja Putri tentang Pemeriksaan Haemoglobin di SMAN 3 Kecamatan Tebo Tengah Kabupaten Tebo. Metode penelitian ini bersifat deskritif dengan menggunakan data primer.  Populasi dalam penelitian ini adalah 71 responden  remaja putri di SMAN 3 Kecamatan Tebo Tengah Kabupaten Tebo. Hasil penelitian menunjukkan pengetahuan remaja putri  tentang pemeriksaan haemoglobin di SMAN 3 menunjukkan kategori baik yaitu : 41 orang (47,7%), Sikap remaja putri tentang pemeriksaan haemoglobin di SMAN 3 menunjukkan kategori positif yaitu : 41 orang 58 (81,7%)  dan hasil pemeriksaan haemoglobin kategori tidak anemia 53 (74,65%)
SPACE PERCEPTION PECULIARITIES OF YOUNG ATHLETES
Authors: Chatinyan Ashot , Avetisyan Mariam
Published: November 2022

Perceptions related to the reflection of space, time and movements play an important role in sports. The special nature of the sports activity contributes to the formation of a certain structure of the processes of time and space perception.
The purpose of the research is to identify indicators of the sense of space and control of small movements of young chess players and boxers.
The research problems are to clarify the features of space perception among chess players and boxers, to reveal the control indicators of small movements of the athletes under study to compare the comparative analysis of the studied indicators of athletes of two sports.
It was revealed that chess players have a better developed sense of small space perception when the bow moves in the right and left direction.
Boxers perceived distances in the right and left directions with smaller deviations in a small area.
Comparing the indicators of boxers and chess players, it was revealed that chess players were more accurate on the right direction, and boxers on the left.
The comparative analysis of the indicators of the accuracy of the small movements of the right and left hands revealed that the chess players control the movements more accurately with the leading (right) hand in the conditions of performing a task of both complex and medium complexity.
Two-hand micro-movement control data revealed that in complex and medium-conditions, boxers performed the task more accurately with the right hand, and simple movements with the left hand.
In case of comparing the data of chess players and boxers, it became clear that boxers controlled small movements more accurately with the use of the tremometer by an average of 1.04 touches with their left hand.
Virtual Makeup Based on Golden Sample Search
Authors: Ping Wang Ping Wang , Ping Wang Mao-Hsiung Hung , Mao-Hsiung Hung Chaur-Heh Hsieh , Chaur-Heh Hsieh Jen-Yang Chen
Published: November 2022

Virtual makeup is expected to provide customers with an approximate experience of actual trial. This paper proposes a novel virtual makeup system based on golden-sample search scheme. A golden-sample database is built offline, which contains canonical patterns of facial components to be made-up. A novel feature representation of the pattern is developed, which makes the golden-sample search effective and efficient. In online phase, users select the markup region and colors they like. The representative feature vector of the selected markup region is used to search the database to find the best-matching pattern. Then, the best-matching pattern is colored and stitched to the input image. The system can process the dynamic image from camera, and thus the user can observe whether the makeup effect under different facial poses is appropriate, and then make corresponding makeup adjustments. The experimental results indicate our system provides nature and good visual effects in makeup.

 
A Machine-Learning-Based Detection Method for Snoring and Coughing
Authors: Chun-Hung Yang Chun-Hung Yang , Chun-Hung Yang Yung-Ming Kuo , Yung-Ming Kuo I-Chun Chen , I-Chun Chen Fan-Min Lin , Fan-Min Lin Pau-Choo Chung
Published: November 2022

Poor sleep quality is a common disease for modern people. Snoring is one of the essential indicators to measure Obstructive Sleep Apnea (OSA). When sleeping, the number of episodes of snoring and coughing are related to the estimated sleep quality. This study proposes a method to detect snoring and coughing in patients when sleeping. The proposed method includes three stages. Firstly, the nightly sound data for a patient are segmented to each independent event. Secondly, the time domain signal is changed to a frequency domain signal by Fourier Transform, and then the features are extracted from the snoring and coughing episodes. Lastly, the Support Vector Machine (SVM) and the Hidden Markov Model (HMM) are used to recognize snoring and coughing. The result of our experiment demonstrates that this method has good detection performance.

 
Multi-Feature Integrated Concurrent Neural Network for Human Facial Expression Recognition
Authors: C. R. Dhivyaa C. R. Dhivyaa , C. R. Dhivyaa K. Nithya , K. Nithya K. Karthika , K. Karthika S. Mythili
Published: November 2022

Facial expression helps to communicate between the people for conveying abundant information about human emotions. Facial expression classification is applied in various fields such as remote learning education, medical care, and smart traffic. However, due to the complexity and diversity of the facial emotions, the present facial expression recognition model causes a low recognition rate and it is hard to extract the precise features that are related to facial expression changes. In order to overcome this problem, we proposed Multi-feature Integrated Concurrent Neural Network (MICNN) which is significantly different from the single neural network architectures. It aggregates the prominent features of facial expressions by integrating the three kinds of networks such as Sequential Convolutional Neural Network (SCNN), Residual Dense Network (RDN), and Attention Residual Learning Network (ARLN) to enhance the accuracy rate of facial emotions detection system. Additionally, Local Binary Pattern (LBP) and Principal Component Analysis (PCA) are applied for representing the facial features and these features are combined with the texture features identified by the Gray-level Co-occurrence Matrix (GLCM). Finally, the integrated features are fed into softmax layer to classify the facial images. The experiments are carried out on benchmark datasets by applying k-fold cross-validation and the results demonstrate the superiority of the proposed model.

 
Fish Migration Optimization with Dynamic Grouping Strategy for Solving Job-Shop Scheduling Problem
Authors: Qingyong Yang Qingyong Yang , Qingyong Yang Shu-Chuan Chu , Shu-Chuan Chu Chia-Cheng Hu , Chia-Cheng Hu Jimmy Ming-Tai Wu , Jimmy Ming-Tai Wu Jeng-Shyang Pan
Published: November 2022

Aiming at the job-shop scheduling problem (JSP), a dynamic grouping fish migration optimization (DFMO) is proposed to solve it. The DFMO algorithm adopts a multi-group structure to improve the convergence ability of the algorithm. And the opposition-based learning (OBL) strategy is applied to the group with poor overall fitness value to improve its solving environment. This paper proposes three different communication strategies to exchange information between different groups. In order to better determine the communication time between groups, a dynamic detection method based on population diversity is proposed. Compared with the static method of determining the communication time between groups, the proposed method can make the group more fully explore the current area and more hopefully find the optimal solution. The experiment in this paper is divided into two parts, one part is the numerical experiment test, the other part is the JSP problem standard library test. From the experimental results, the DFMO algorithm can obtain good results in both parts of the experiment, and has a good problem optimization ability.

 
College Students Service Feedback Based on a Complex Network
Authors: Xinyi Wang Xinyi Wang , Xinyi Wang Jinji Fu , Jinji Fu Rui Qi , Rui Qi Bokai Xu , Bokai Xu Ming Huang
Published: November 2022

The ideas of others always influence people because they are social animals. They will evaluate a movie based on the rating level and change their decision based on someone’s advice. It is expected that the comments on the news are reversed suddenly because of a few people, especially in the context of the communication wave set off by the Internet as a new media. It is worth noting that there is a relationship between the deviation of public opinion and the intimacy between people, and confidence and openness also play a role. Recently, there has been renewed interest in dynamic models of research opinions. Our goal is to build a dynamic model of opinion offset based on various influencing factors and then use it to control public opinion more accurately and reduce the loss caused by them. We analyzed existing models and found that few articles considered people’s confidence, openness, and intimacy together. Therefore, we designed new models that considered all the influencing factors. We tested the model with actual data and achieved high accuracy. Finally, we found that opinions would eventually converge to a peak value, and the time needed for convergence was affected by intimacy, openness, and confidence.

 
Attention-Based Recurrent Autoencoder for Motion Capture Denoising
Authors: Yongqiong Zhu Yongqiong Zhu , Yongqiong Zhu Fan Zhang , Fan Zhang Zhidong Xiao
Published: November 2022

To resolve the problem of massive loss of MoCap data from optical motion capture, we propose a novel network architecture based on attention mechanism and recurrent network. Its advantage is that the use of encoder-decoder enables automatic human motion manifold learning, capturing the hidden spatial-temporal relationships in motion sequences. In addition, by using the multi-head attention mechanism, it is possible to identify the most relevant corrupted frames with specific position information to recovery the missing markers, which can lead to more accurate motion reconstruction. Simulation experiments demonstrate that the network model we proposed can effectively handle the large-scale missing markers problem with better robustness, smaller errors and more natural recovered motion sequence compared to the reference method.

 
Android Malware Application Detection Method Based on RGB Image Features in E-Commerce
Authors: Xingyu Li Xingyu Li , Xingyu Li Yongli Tang , Yongli Tang Mary Subaja Christo , Mary Subaja Christo Zongqu Zhao , Zongqu Zhao Ying Li
Published: November 2022

In recent years, with the continuous development of Android applications, part of e-commerce business gradually promoted to the Android platform. Android malicious applications have become an important factor threatening E-Commerce security. The Android malware application detection methods based on machine learning play an important role in malware detection, and most of them construct self-defined structured features with static analysis technique. The accuracy and comprehensiveness of features are disturbed by shell and code obfuscation techniques. In the case of applications using shell and code obfuscation techniques, these techniques would lead to instability of detection result. In addition, the way of these methods, which mainly use disassembly technology to extract source data, would deteriorate the efficiency of detection. In view of such problems, we propose an android malware application detection method based on RGB image features. Our method uses RGB image visualization technology to directly transform binary files into unstructured RGB images. In the process of model training, we acquire advanced features autonomously by training the VGG16 model with RGB images. We perform a comprehensive analysis of our approach and other methods on the Android malware dataset. The results show good efficiency and the adaptability of our method.

 
Data-Driven Modeling of the Impact of Internet Inclusive Finance on the Urban-Rural Income Gap in the E-Commerce Era
Authors: Ying Song Ying Song , Ying Song Li Tan , Li Tan Yafei Wang , Yafei Wang Lu Li
Published: November 2022

In modern society, in which e-commerce is advancing rapidly, conventional finance has begun to adopt the internet, and digital inclusive finance activity has emerged. In the e-commerce era, the use of massive data to digitally evaluate important issues remains promising. Against this background, this paper proposes a data-driven modeling framework for the impact of inclusive internet finance on the urban-rural income gap in the e-commerce era. Specifically, using 2011-2017 panel data on 204 prefecture-level cities in China, this paper visualizes statistical features needed to evaluate the rationality of the initial data samples. Then, the study sets up five basic explanatory variables and five control variables and establishes two regression models to map the relationship between the feature variables and the urban-rural income gap. Using several parameter estimation methods to fit the model parameters, the paper examines the impact of inclusive finance on the urban-rural income gap from multiple perspectives. Finally, based on the data-level analysis results, the paper proposes policy suggestions.

 
Empowering Women through African Pentecostal Corporate Social Responsibility
Authors: Adekunbi Labeodan Helen
Published: November 2022

This paper considers how women may be empowered through African Pentecostal Corporate Social Responsibility (CSR) by examining ways organizations use CSR to develop their images in society with social welfare work beyond statutory compliance. Referencing practices described in narratives of the Gospels and Acts and combining critical analysis of historical documents with key informant interviews, the project analyzes the Christ Apostolic Church, Missionary Headquarters, Ita Baale Olugbode, Ibadan, to discover and assess its regular programs of CSR. Specifically, the author uses collected data to determine answers the following questions about Christ Apostolic Church: In what programs is the church involved that address social challenges in communities they serve? How effective are these programs? Does the church have a deliberate policy to address community social issues? Is the policy evident as a guide for the church in CSR matters? How does the church’s CSR policy impact women? Key words: Empowerment, Pentecostal, CSR
THE COMPARATIVE ANALYSIS OF PLAN AND ACTUALFUEL RATIO ON THE LOADING TOOLS OF KOBELCO SK 520, SK 330 EXCAVATORS AND HAULING TOOL OF HINO FM260 JD DUMP TRUCK
Authors: Roby Cahyadi  , Tiara Anggraini  , Isdaryanto Iskandar
Published: November 2022

One of the biggest needs in mining activities is mechanical equipment to achieve production target which needs fuel. A mechanical tool is declared successful if it is able to meet the production target by using a minimum of fuel consumption. The excessive use of fuel will affect the company's profits. The ratio between total fuel consumption and total production is called the fuel ratio. A company is successful or gains profit if the plan fuel ratio is higher that the actual fuel ratio. The aim of this research was to analyze the comparison between plan and actual fuel ratio on Kobelco SK 520, Kobelco SK 330 excavators and Hino FM 260 JD Dump Truck. This analysis process was conducted by knowing the production target and realization of the overburden and coal getting production target. In March 2022, the production of SK 520 was 43,147.97 BCWmonth, DT 8-193 10,328.07 BCM/month, SK 330 was 41,981.76 tonnes/month, DT 8-138was 8,169.43 tonnes/month. In April 2022, the production of SK 520 was 50,188.03 BCM/month, DT 8-193 was 8,750.25 BCWmonth, SK 330 was 38,555.66 tonnes/month, DT 8-138 was 8,432.83 tonnes/month. The fuel ratio in March were SK 520 of 0.19 litre/BCM, DT 8-193 of 0.27 litrefBCM, SK 330 of 0.17 litre/ton and DT 8-138 of 0.23 litre/ton. The fuel ratio in April 2022 were SK 520 ofO. 19 litre/BCM, DT 8-193 ofO.29 litre/BCM, SK 330 of0.18 liter/ton, and DT 8-138 of 0.21 litre/ton. The loss of fuel ratio in March 2022 on the overburden removal was SK 520 of Rp 22,652,684 and DT 8-193 of Rp the coal getting activity on SK 330 was Rp 36,734,040 and DT 8-138 of Rp In April 2022, the loss on the overburden removal on SK 520 was Rp 35,733,877.36 and on DT 8-193 was Rp 7,787,723, and the coal getting on SK 330 was Rp 27,451,630 and DT 8-138 was Rp 6,004,175.
Rede de proteção intersetorial na violência contra a mulher: um estudo documental
Authors: Moreira Henrique , Guilherme de Campos Paulo Ikeda Kaio , Paula de Assis Sales Ana
Published: November 2022

Objetivo: verificar políticas públicas que, durante a pandemia de COVID-19, surgiram no âmbito da justiça e saúde como forma de coibição e/ou cuidados na atenção a violência contra a mulher. Método: estudo documental, que utilizou como fonte de dados: Diário Oficial da União, Diário Oficial do Estado de Mato Grosso do Sul, Diário Oficial do Município de Campo Grande, Ministério da Saúde e Ministério da Justiça, Secretaria Estadual de Saúde/MS, com os descritores: Violência contra a mulher e termos alternativos a este, conforme descritores em ciências da saúde. Resultados: encontrou-se seis documentos acerca do combate à violência doméstica, analisados pelo software Interface R pour les Analyses Multidimensionnelles de Texts et de Questionnaires, gerando 317 Segmentos Textuais, obteve-se quatro classes em função dos seus vocabulários. Conclusão: a assistência de Enfermagem no combate à violência e apoio dessas mulheres é imprescindível, muitas vezes o enfermeiro é o profissional que tem o primeiro contato com vítimas da violência doméstica.
Peak Side Lobe Reduction analysis of NLFM and Improved NLFM Radar signal
Authors: Chukka Anoosha , Krishna B.T.
Published: November 2022

Signal design is an important component for good performance of radar systems. Here, the problem of determining a good radar signal with the objective of minimizing autocorrelation sidelobes is addressed. Linear Frequency Modulated signal (LFM) is frequently used pulse compression waveform. But using LFM makes it necessary to use weighting techniques in order to reduce the side lobes which considerably decrease the SNR. At the radar receiver, the LFM signal results in first side lobe of -13dB corresponding to the main lobe. This may reduce the resultant SNR usually by 1 or 2dB. In this paper, an attempt is done to design a radar signal to attain low autocorrelation Peak Side Lobe Ratio (PSLR) which exhibits high SNR and high range resolution. In order to maintain high SNR and to get suppressed side lobes of the signal, one can use Non-Linear Frequency Modulation (NLFM). A NLFM signal is designed for different time sweeps called as Improved NLFM. In Improved NLFM the total time sweep and bandwidth are divided into Two Stage and Tri-Stage sweeps NLFM. The quality of the overall best radar signal is assessed through the parameter PSLR for different values of BT. From this analysis, it is found that the tri stage NLFM gives the low PSLR up to -17.62dB. Simulation results shows the reduction in the sidelobe level from LFM to NLFM and in Improved two and Tri-Stage NLFM.
Pembinaan Pembangunan Karakter Sumber Daya Manusia Unggul Pada Masyarakat Pulau Jaloh Batam
Authors: Sunargo  , Ambalegin  , Poniman
Published: November 2022

Pembangunan sumber daya fisik memerlukan pembangunan mental yang menekankan pada keunggulan sumber daya manusia (SDM). Secara umum, pengembangan infrastruktur sebagai sumber daya fisik di Kota Batam telah memadai hingga pulau-pulau sekitar Batam seperti Pulau Jaloh. Pengembangan karakter SDM perlu ditingkatkan agar pembangunan infrastruktur dapat dimanfaatkan secara optimal oleh masyarakat untuk membuka peluang mencapai keunggulan. Perlu peran SDM unggul yang didasarkan pada pembangunan karakter agar mampu menentukan keunggulan potensi masyarakat. Pembangunan karakter penting untuk mendukung pengembangan sumber daya fisik. Potensi pulai sebagai tempat wisata lokal, nasional, dan mancanegara juga memerlukan dukungan karakter kepemimpinan dan kepribadian. Pengabdian masyarakat ini bertujuan untuk membentuk masyarakat dengan karakter kepemimpinan dan kepribadian dalam mendukung pembangunan fisik, potensi wilayah pulau wisata, dan hasil laut. Pengabdian ini dilakukan pada Karang Taruna Pulau Jaloh untuk memperoleh SDM unggul. Pelaksanaan pengabdian dimulai bulan Desember 2021 sampai dengan Juni 2022 selama lima kali pertemuan. Metode pengabdian yaitu melalui penyampaian materi dengan presentasi, diskusi, dan evaluasi. Hasil menunjukkan bahwa peserta pengabdian memiliki kesiapan dan kesediaan untuk melakukan pengembangan karakter menjadi SDM yang unggul.
Experiences of University Staff in Online Proctored Examination: A Phenomenological Study
Authors: Ghimire Subekshya , Khanal Jeevan
Published: November 2022

Objective: This research aims to explore the first and unique experiences of faculty members, administrators, and technical officers (staff) and their perception of opportunities and challenges using online proctoring tools in the final and entrance exams during the COVID-19 pandemic. Methods: The qualitative approach of interpretive paradigm study was used to evaluate staff experiences in participating online proctored examinations. In mid-2021, eight faculty members, one administrator, and one technical officer participated for the first time in online proctored examinations and elaborated on their perceptions and concerns about their online proctored exam experiences. Results: The study's findings provide new insight into the staff experiences of online proctored examinations, including their predominant concerns over consuming less time and effort, reducing huge administrative burdens, and organizing examinations frequently. The study also highlights challenges such as technology compatibility, doubts about academic integrity/reliability, and validity while implementing the online proctored examinations and their future impact. Conclusion: The findings from this study contribute to the exploration opportunities and challenges of online proctored examination concerning the university staff perspectives of technologically developing countries.
Investigating the Impact Factors of Night Construction for Urban Road Projects
Authors: Huang Yihao , Tang Yizhong
Published: November 2022

Construction work on urban roads often causes changes in the speed and trajectory of vehicles, resulting in serious congestion and traffic accidents. Construction work on urban roads also poses several energy, environmental and social problems. In this context, maintenance work is increasingly being carried out at night, when traffic pressure is relatively low, to minimize the adverse effects of road construction. This study uses a literature review and expert interviews to construct a model of the influencing factors of urban road construction at night containing 11 factors. A questionnaire is designed to investigate the road construction enterprises' agreement with these influencing factors. The results of the statistical analysis and factor analysis showed that the factors can be divided into two main factors: the competent factor and the objective factor. The objective factors of road construction have a significant impact on construction companies, which should pay more attention to the impact of road construction at night on construction and traffic. Air pollution and energy consumption are the least important factors for construction companies when considering whether to use night work as a method. The only way to carry out night work is to ensure the safety of construction workers, adequate lighting and a comprehensive traffic control plan.
Research on Digital Marketing Strategies for Brands based on the Internet Context
Authors: Wu Yangjing
Published: November 2022

In an era of rapid internet development, digital technology is taking up an increasing part of life. With this comes the use of digital technology in various areas, and brands are gradually moving away from traditional marketing methods to digital marketing. In order to understand the role of digital marketing strategies in the promotion of brands, the literature was analyzed using case studies of several brands that use the Integrated Marketing Communication Strategy and the Online to Offline model, and it was concluded that digital marketing strategies can help brands gain attention and increase profits, and promote brands, providing effective advice for brands that want to go digital in the future.
Analysis of Sports Industry Strategies During Covid-19 Pandemic: Cases from Nike and Adidas
Authors: Guo Qicun
Published: November 2022

To explore the strategic situation of the sports industry during the Covid-19 Pandemic, this study used some cases of Nike and Adidas about advertisement and sponsorship during the pandemic. Through these analyses, it is clear to see the differences between Nike and Adidas’s operation patterns. It is also clear why Adidas is in a declining tendency during the pandemic. The competition between Nike and Adidas is an inevitable topic in the sports industry. They compete in many sports, such as soccer, basketball, and Esports. This study will collect the data about Nike and Adidas in different areas and analyze how they compete and who is the winner. After a detailed analysis of the cases, this study concluded that Nike is dominant in this competition now, even in some fields that Adidas used to dominate.
Analysis of the Rationality of Hedge Fund Replication
Authors: Wang Yanlin
Published: November 2022

Hedge funds have become a hot topic in recent years, more and more people hope that through the hedge funds this way of high-yielding wealth management profit, but the threshold of the hedge funds, too many people, is people can't help doubt, that we can communicate about copying the former case to profit, this paper details about copying the possibility of hedge funds.
Contemporary Populism and International Relationship
Authors: Guo Yuhui
Published: November 2022

The global prevalence of populism has greatly impacted domestic and world politics. In many countries, mainstream political parties have begun to be overstretched in dealing with populist power. As populist concerns gradually become Salient, relevant economic and social decisions may have to adopt compromise policies. This probably has greatly affected the country's foreign policy and has an impact on the system of international relations. In this paper, I will try to widely quote the important arguments of the mainstream school of international relations in the world, based on the system of international relations that has existed and maintained for a certain period (such as globalization, lateralization, etc.). As an entry point, I will use empirical methods to analyze the impact of populist explosions on the current international relations system( globalization, lateralization, etc.) and make some speculations about the future development of the international relations system.
Analysis of Nongfu Spring Brand Marketing Strategy Based on Changes in Consumer Behaviour During the Epidemic
Authors: Hu Yanhong
Published: November 2022

The current epidemic has significantly changed consumer psychology, consumption habits and demand structure, and brand competition is becoming increasingly intense. Bottled water brands need to make a series of adjustments to their marketing strategies to better adapt to the new market environment. As a leader of bottled water brands in China, Nongfu Spring’s successful marketing techniques and potential problems during the epidemic are worthy of attention and reference. This paper uses Literature research, survey method and Interviews to analyze the changes in consumer behaviour caused by the epidemic and the impact of such changes on China’s bottled water brands. Finally, we analyze the marketing techniques and potential problems of Nongfu Spring and propose solutions. This paper aims to advise bottled water brands to help them adapt to changes in market demand during the epidemic, achieve higher economic returns, consolidate their brand image, and help the healthy development of bottled water brands in China.
Research on Chinese Beauty Brands’ Marketing Strategies based on the Comparison of International Beauty Brands and Chinese Beauty Brands
Authors: Dong Yifan
Published: November 2022

Unlike other industries, the beauty brands market is a strong industry even after the pandemic because everyone has the desire to pursue beauty. According to the findings, there are no Chinese beauty brands in the top 10 beauty brands in the world. How could Chinese beauty brands go international is the question the brands need to consider. So the research uses content analysis and comparative analysis to compare the differences or disadvantages of Chinese beauty brands. After discovering these problems, the research provides some marketing strategies as solutions. Based on different consumers, brands need to come up with different products. For example, more male consumers enter the market, so the brand needs to release more products with functions that men would want. Of course, Chinese beauty brands should not do the same things. Instead, combining the domestic situation and the trend would be more practical for Chinese brands to improve. However, keeping up with the products’ solid quality and ensuring the consumer has a good time shopping in the company are always strengths in the market.
The Influence of Live Streaming on Irrational Consumption of Consumers
Authors: Zou Qianqian
Published: November 2022

With the development of Internet information technology, live broadcasting has become a new technical means, and the e-commerce platform has gradually entered the bottleneck under long-term development. With the combination of live streaming means and e-commerce platforms, a new way of shopping - live streaming with goods has become an industry tuyere in the e-commerce industry. Due to the various characteristics of live streaming, it can induce consumers’ irrational consumption behavior more than offline marketing. This paper discusses how live streaming affects consumers’ irrational behavior by means of a questionnaire survey and auxiliary application of SPSS and other technologies.
Current Situation Analysis and Future Outlook of Boeing Co.
Authors: Tu Hengkang
Published: November 2022

Boeing Company is the leading aerospace company in contemporary times. As a result of pandemics recently, the global aviation industry has been severely impacted, and the operational risks faced by Boeing have also expanded. Based on the business strategy and profit model of Boeing Company in recent years, this paper analyzes the dangers that the Boeing Company has experienced in its operations and growth from the standpoint of the interaction between its resources, operations, and financial data over the last three years, in order to forecast its future growth.
Amazon vs. Alibaba: Comparisons of Two E-commerce Giants based on SWOT Analysis
Authors: Yang Zixuan
Published: November 2022

The widespread pandemic has accelerated the growth of the e-commerce industry. As two of the leading e-commerce companies, Amazon and Alibaba have come through a long way and made huge influences on online retail marketplaces globally. The aim of this paper is to investigates the similarities and differences of the business models between Amazon and Alibaba based on a SWOT framework, which analyzes both companies through four dimensions, strength, weakness, opportunity, and threat. The paper concludes that while both companies have made impressive strategic decisions that help them establish strong stance in the e-commerce market, e.g., customer satisfaction, huge customer base, R&D program, due to the competitive nature of the industry, Amazon and Alibaba face challenges such as replicable business models, crowded marketspace, and external threats like government regulations and volatile marketing environment. Additionally, the paper finds globalization a key determinant in the future growth for both companies and provides insights into ways to improve the companies’ future performance.
Study on the mechanical properties of inclined rod steel canopies
Authors: Wang Keding
Published: November 2022

A tilt-tie steel structure canopy is used as the research object, and the structural mechanics solver is used to focus on the calculation and analysis of the different connection methods between the various parts of the structure and the force situation of the canopy under different angles of the tilt-tie, to analyze the important mechanical performance indexes, to arrive at the best connection method and angle of the tilt-tie, and to optimize the design of the tilt-tie canopy system according to the conclusions drawn from the above analysis.
Current status and prospect of homogeneous charge compression ignition (HCCI) technology application of transportation
Authors: Yin Pengbo
Published: November 2022

HCCI engine is a new concept in recent decades. HCCI is defined as a type of engine with little application and market proportion. HCCI engines have great potential and prospects in practical engineering applications. However, there is a lack of cognition of HCCI engine development. Therefore, this paper introduces the current status of HCCI technology application and the possible development in the future. Throughout collecting information of some parameters of engines and comparison and analysis, this paper researches the current status and prospect of HCCI engine application. Research shows that, HCCI engine has considerable merits, which are more eco-friendly, higher thermal efficiency and fuel economy, also HCCI engine is not be used in production. In the future, HCCI engine will expand the advantages and occupy market, eventually be the mainstream type of internal combustion engine. In addition, the analysis and research results of this paper will provide reference and reference for the future development of HCCI engine.
Mechanical and Thermal Properties Analysis of Recycled Concrete Aggregate on Its Fire Exposure
Authors: Zhuo Haotian
Published: November 2022

Concrete constructions can be badly damaged by fire, and the damage can be estimated using knowledge of material properties. The major focus on using green materials instead of traditional materials are promoted. Recycled concrete aggregates (RCA) are nominated and analyzed its mechanical and thermal properties with its fire exposure. Conclusions are when using RCA to mix natural aggregate in concrete, and it will help obtaining a better performance of concrete at high temperatures (more than 50 percent). Rich mixed RCA outperforms standard mixed RCA and natural concrete aggregate regarding fire resistance and remaining compressive strength. The effects of varying mixing percentages above 50% mixed concrete and different time effects on concrete performance are examined. It suggests the replacement of RCA is suitable for modern building construction and fire safety sector from its performance post fire residual.
Application of Fluid Dynamics in Geotechnical Engineering
Authors: Sun Yangqing
Published: November 2022

Nowadays there are lots of problems with a background in geotechnical engineering that cannot be separated from another important subject, fluid dynamics. Such problems include, for example, leaking problems with ground foundations, turbulent water in groundwater, and so on. This passage organized basic knowledge of two subjects that directly help to understand complex problems and introduced some advanced solutions to solve the problems of these complex problems. Darcy’s Law is the key to working out all the leaking problems under earth because of the low speed and rate of flow. Turbulent water is a hot topic to talk about and there are no such overall equations as Darcy’s Law to understand different problems but it’s possible to combine the half-rational equations and the data of the field survey together and concluded a new formula. To understand more such complex problems, using simulating software is a good choice and there will be more and more topics containing interdisciplinary knowledge in the future.
Effects of Taking Magnesium Supplements for Diabetics and Those with A High Risk of Diabetes
Authors: He Jinling
Published: November 2022

Diabetes is a common disease occurring around the world. Patients usually have high blood sugar and many complications. Diabetes is typically caused by an inability to use insulin or damage to beta-cells. Magnesium is a co-factor involved in glycolysis and activation of insulin use, so by examining trials including magnesium supplementation in individuals with all forms of diabetes, this research investigated if taking magnesium supplements had an association with blood glucose and insulin resistance in diabetics or those with a high risk of diabetes. Ten trials in this paper are analyed to figure out whether magnesium supplement is associated with blood sugar and insulin resistance in diabetics and those with high risk of this diseased. Eight trials showed an association between consuming Mg supplement and lower blood sugar and insulin resistance, but two trials concluded there was no association. The differences in the results may be caused by different blood magnesium levels or ethnic groups of participants, which needs further analysis.
The Role of Ketogenic Diet in Gut Microbiota
Authors: Lin Yixin
Published: November 2022

Several studies point to a vital role for gut microbiota (GM) in preventing disease and reducing inflammation in humans. Gut microbiota has an important relationship with the human brain-gut axis, and the biological metabolites they produce are closely linked to the function of nervous system. Ketogenic diet (KD) is thought to be effective on the makeup of GM and thus affecting human health due to its low calorie and fiber consumption. Recent research has found KD can affect GM composition under pathological conditions, such as drug refractory epilepsy (DRE). So as to achieve the purpose of treating DRE. Therefore, this article aims to explore the effect of KD on the human GM and explore whether it has important implications for human health. Finally, we found that KD can modulate human health by affecting gut microbiota richness, increasing some microbes that can produce beneficial metabolites, and reducing some pro-inflammatory microbes to prevent and treat specific diseases.
Prevalence and Health Hazards of Breakfast Skipping in Children and Adolescents in China
Authors: Zhu Jinyi
Published: November 2022

Children and teenagers require a proper and balanced diet in order to grow and develop. However, breakfast skipping (BS) is quite common in Chinese children. From the large-scale surveys published in Pub Med and China National Knowledge Infrastructure (CNKI), the prevalence of skipping breakfast is around 8-25% in Chinese children and adolescents. Skipping breakfast is related to personal and social economic factors. In China, children from low-income and low urbanization areas are at a higher rate of skipping. Skipping breakfast is also related to sleep insufficiency. Skipping breakfast has a lot of health hazards to children and adolescents. Breakfast skippers had worse cognitive, physical and social performance than the peers that eat breakfast. In some groups of children, BS was also associated with malnutrition. Research in some Chinese areas found that breakfast skippers had a higher rate of overweight/obesity, but other groups do not show the relationship. Some studies also showed BS tend to cluster with other unhealthy behaviors and increase the risk of metabolic syndrome. Further research is necessary to understand the mechanism of BS and its dangers.
Research Progress on the Effect of Amomum Volatile Oil on Gastrointestinal Health
Authors: Liu Zheng
Published: November 2022

According to statistics, 10 million people worldwide die of gastrointestinal diseases every year, and the incidence of stomach diseases in the population is as high as 80%, among which 120 million people in China suffer from stomach diseases. Amomum villosum is a kind of traditional Chinese medicinal materials, is also a kind of medicine and food homologous raw materials, with moistening appetizer, warming spleen and diarrhea, Qi and pain relief effect. The volatile oil of Amomum villosum, the main active component of Amomum villosum has a variety of biological activities and pharmacological effects. Therefore, under the background of younger gastrointestinal health problems and more attention paid to gastrointestinal problems, it is of great significance to study the relevant effects of effective components of Amomum villosum, on gastrointestinal health. This paper focuses on the chemical composition, extraction process and specific mechanism of volatile oil of Amomum villosum, in gastrointestinal health, so as to provide certain reference and support for further research and development of volatile oil of Amomum villosum, in gastrointestinal health.
Advances of schistosomiasis control in China
Authors: Zhao Teng
Published: November 2022

China was once a heavily affected area of schistosomiasis, with an epidemic history of more than 2000 years. After the founding of the people's Republic of China, the incidence rate of schistosomiasis in China has significantly decreased after decades of continuous improvement of prevention and control methods and efforts of various parties. This paper summarizes the methods of schistosomiasis control in China, and hopes to provide some help for schistosomiasis control in the world.
Diagnosis and Treatment of Malaria in Nigeria
Authors: Chen Hongzhe , Fang Siyue , Li Linzhuo , Zou Chunze
Published: November 2022

There are 241 million malaria cases in 2020 globally based on WHO’s “World Malaria Report 2021”, Nigeria is the hardest hit region. The mechanism of the parasite caused many complications and the two hosts of the transmission. The malaria parasite is transmitted from the salivary glands of the mosquito to the human blood. Once the parasite was transmitted to the human, it can cause a human to human transmission through the contacting with the infected blood. Mainstream diagnostic techniques of Malaria includes Malaria Rapid Diagnostic Testing (RDT) / Histidine-rich Protein 2(HRP2) MRDT/Paracheck-Pf RDT; microscopy; nested PCR (nPCR) ; quantitative PCR (qPCR) . There are also advanced diagnostic technologies such as Loop-mediated Isothermal Amplification (LAMP) and CRISPR-based Diagnostic-using the nucleic acid detection platform Sherlock (specific high-sensitivity enzymatic reporter unlocking) . Nowadays in Nigeria, despite the decreased drug sensitivity against the disease, new methods and drugs have emerged in a bid to control this parasitic infection. The treatment continues to change and more discoveries have been made on how to treat the disease. This paper summarizes the status quo of malaria in Nigeria and provides possible and effective ways for Nigeria to eliminate malaria.
Progresses in PET/CT radiomics for diagnosis and molecular typing of breast cancer
Authors: Zhang Jiarui
Published: November 2022

One of the top causes of cancer-related death in women is breast cancer (BC) , and the prevalence is increasing each year.The prevalence of BC has already surpassed lung cancer in 2020, making it the most prevalent cancer worldwide. Molecular typing of BC can affect the choice of diagnosis and treatment options, and the typing methods currently used in clinical practice are mainly through tissue biopsy. PET/CT, as a noninvasive test, has now been able to show BC progression at the molecular and cellular levels. Radiomics is an emerging imaging technique that describes the relationship between the intensity of pixels or voxels in a specific region and their location in this region in imaging data by mathematical methods, so as to provide objective quantitative indicators for clinical practice. Combining PET/CT with radiomics can greatly improve the precision of PET/CT in the diagnosis and typing of BC. This article reviews the progress in the application of PET/CT radiomics in the diagnosis, treatment and molecular typing of BC.
Study on the Effect of Different Compound Proportion of Oyster and Mantis Shrimp on the Quality of Flavor Condiments
Authors: Yang Zhao , Zhang Jinfeng , Zhou Tonglin , Yan Zidan , Lin Yongqi , Tang Haixia , He Chunlan
Published: November 2022

Oyster and mantis shrimp were used as raw materials to investigate the effects of their compound ratio on the degree of hydrolysis, sensory and color difference, and the volatile flavor components of the best enzymatic hydrolysis products were analyzed. The results showed that: according to the sensory evaluation score, the best compound ratio of oyster and mantis shrimp was 5:1.Under the conditions of enzymatic hydrolysis time of 2h, enzymatic hydrolysis temperature of 55℃, ratio of trypsin to flavourzyme of 3:1, addition amount of 0.7% and pH of 8.0, the umami taste score and degree of hydrolysis of enzymatic hydrolysis products were 5.71 and 28.22% respectively. In the determination of volatile flavor components, 16 volatile flavor components were detected, mainly including 2 alcohols (34.41%), 6 aldehydes (14.64%), 1 ketone (0.31%), 2 esters (0.69%) and 5 alkanes (2.53%).