bluuebunny/crossref_metadata_2025 huggingface dataset:
PROSEDUR BONGKAR MUAT CLINKER MV. ARLYN OLEH PT PELINDO MULTI TERMINAL DI PELABUHAN BELAWAN
Authors: Yandi Ekki Feri , Deliani Meriah Kita
Published: November 2024

Penulisan makalah berikut menerapkan metode pengamatan lapangan (field study), metode wawancara (interview study) dan metode perpustakaan (library study) secara sederhana dengan mengambil kutipan - kutipan pendapat para ahli melalui buku-buku dan menjabarkan dengan akurat tentang prosedur bongkar muat clinker MV Arlyn oleh PT Pelindo Multi Terminal cabang Belawan. Permasalahan yang dikaji dalam penelitian ini adalah bagaimana prosedur bongkar muat clinker MV Arlyn oleh PT. Pelindo Multi Terminal di Pelabuhan Belawan. Hasil pengamatan dan wawancara menunjukkan bahwa prosedur bongkar clinker yang dilakukan oleh PT Pelindo Multi Terminal ada beberapa tahapan mulai dari persiapan pertama sebelum kapal tiba untuk melaksanakan proses kegiatan bongkar yaitu dilakukan rapat RPPK, menyiapkan dokumen – dokumen bongkar kemudian pelaksanaan kegiatan bongkar muat clinker, kemudian menyiapkan kelengkapan dokumen – dokumen akhir berupa nota lunas. Beberapa hal yang dapat dilakukan agar proses pelaksanaan bongkar muat clinker maksimal yaitu dengan rutin melakukan pengecekan terhadap alat yang digunakan sebelum dilakukan proses bongkar muat serta melakukan servis rutin dan menyediakan stok sparepart untuk mengurangi resiko kemacetan pada alat.
PERANAN PERUSAHAAN KEAGENAN TERHADAP AKTIVITAS KAPAL ASING DI PELABUHAN SARANA CITRA NUSA KABIL PADA PT. ANSARI SHIPPING BATAM
Authors: Duha Elkana , Suparman Suparman , Taruna Taruna
Published: November 2024

Setiap Kapal yang berlayar akan singgah di Pelabuhan untuk melakukan pemuatan, pembongkaran barang, atau menunggu proyek serta embarkasi dan debarkasi penumpang. Disinilah agen dituntut dapat  memberikan pelayanan yang memuaskan principal dan owner yang menunjuk sebagai agen. Perusahaan pelayaran yang menyediakan pelayanan keagenan kapal harus dapat melaksanakan tugas-tugasnya efektif dan seefisien mungkin. Disini agen bertindak sebagai pihak yang mewakili pemilik kapal dalam mempersiapkan segala sesuatu agar kegiatan selama di Pelabuhan dapat berjalan sesuai rencana. Tujuan penelitian ini untuk mengetahui lebih dekat bagaimana peranan perusahaan pelayaran PT. Ansari Shipping Batam melaksanakan kegiatan terhadap aktivitas kapal asing khususnya di Pelabuhan Sarana Citra Nusa Kabil. Peranan perusahaan pelayaran PT. Ansari Shipping terhadap aktivitas kapal asing merupakan suatu kegiatan untuk melakukan pengurusan kedatangan dan keberangkatan kapal terhadap instansi-instansi terkait serta mencegah demurage yang merugikan principal maupun owner. Aktivitas keagenan dimulai adanya penunjukan keagenan PT. Ansari Shipping Batam oleh PT. Andika Buana Lines sebagai general agent untuk menangani kapalnya di Pelabuhan Sarana Citra Nusa Kabil. Bentuk persetujuan keagenan berupa diterbitkannya surat penunjukan sub agent oleh PT. Andika Buana Line pada PT. Ansari Shipping Batam. Dalam penyusunan penulis penelitian ini juga menggunakan beberapa metode yaitu metode penelitian lapangan (field research) seperti metode pengamatan, metode wawancara dan metode perpustakaan (library research).
PEMBONGKARAN STEEL RAIL PADA PT.PERUSAHAAN BONGKAR MUAT SAMUDRA INDAH SEJAHTERA SEMARANG
Authors: Rantika Yuni , Danilwan Yuris , Dirhamsyah Dirhamsyah
Published: November 2024

Penelitian ini dibuat untuk mengetahui lebih dekat lagi bagaimana PT. Perusahaan Bongkar Muat Samudra Indah Sejahtera Semarang dalam mengawasi Steel Rail pada saat proses pembongkaran dari kapal langsung ke truk yang dilakukan di Pelabuhan Tanjung Emas Semarang. Penelitian ini ditulis berdasarkan kejadian di lapangan dengan melakukan pengamatan secara langsung bersama-sama dengan agen oleh PT. Kharisma Indah Lestari Shipping serta TKBM (Tenaga Kerja Bongkar Muat). Pelaksanaan pembongkaran Steel Rail pada PT. Perusahaan Bongkar Muat Samudra Indah Sejahtera Semarang dapat dilakukan dengan baik tetapi terdapat juga masalah-masalah yang dapat memperlambat proses pembongkaran Steel Rail misalnya rusaknya alat-alat berat yang digunakan untuk proses pembongkaran Steel Rail, cuaca yang kurang baik (hujan) serta transportasi yang mengalami kerusakan fisik maupun hambatan saat proses perjalanan ke tempat tujuan sehingga menyebabkan proses pembongkaran menjadi terhambat. Dengan terjadinya masalah-masalah yang ada tentu saja dapat merusak schedule yang sudah dibuat sebelumnya oleh PT. Perusahaan Bongkar Muat Samudra Indah Sejahtera Semarang. Dengan kendala yang dihadapi maka pihak PT. PBM Samudra Indah Sejahtera Semarang harus rutin melakukan pengecekan terhadap TKBM (Tenaga Kerja Bongkar Muat), alat-alat berat, serta transportasi agar tidak mengecewakan pengguna jasa atau pelanggan salah satunya penerima barang / pemesan (Consignee). Dokumen-dokumen dari hasil pembongkaran seperti SOF (Statement Of Facts), Statement,Cargo Daily Report dan Tally Sheet akan dibuat setiap pagi dan diserahkan kepada Mualim 1(Chief Officer) untuk di tanda-tangani dan di stempel.
Characterization and Biocontrol Efficacy of Bacillus velezensis GYUN-1190 against Apple Bitter Rot
Authors: Park Hyeonjin , Lee Younmi , Balaraju Kotnala , Kim Jungyeon , Jeon Yongho
Published: November 2024

The application of synthetic fungicides has resulted in environmental pollution and adverse effects on non-target species. To reduce the use of agrochemicals, crop disease management requires microbial biological control agents. Bacillus-related genera produce secondary metabolites to control fungal pathogens. Bacillus velezensis GYUN-1190, isolated from soil, showed antagonistic activity against Colletotrichum fructicola, the apple anthracnose pathogen. Volatile organic compounds and culture filtrate (CF) from GYUN-1190 inhibited C. fructicola growth in vitro, by 80.9% and 30.25%, respectively. The CF of GYUN-1190 inhibited pathogen spore germination more than cell suspensions at 10 8 cfu/ml. Furthermore, GYUN-1190 CF is effective in inhibiting C. fructicola mycelial growth in vitro, and it suppresses apple fruit bitter rot more effectively than GYUN-1190 cell suspensions and pyraclostrobin in planta. The mycelial growth of C. fructicola was completely inhibited 48 h after immersion into the CF, in compared with positive controls and GYUN-1190 cell suspensions. The genetic mechanism underlying the biocontrol features of GYUN-1190 was defined using its whole-genome sequence, which was closely compared to similar strains. It consisted of 4,240,653 bp with 45.9% GC content, with 4,142 coding sequences, 87 tRNA, and 28 rRNA genes. The genomic investigation found 14 putative secondary metabolite biosynthetic gene clusters. The investigation suggests that B. velezensis GYUN-1190 might be more effective than chemical fungicides and could address its potential as a biological control agent.
Different Infection Structures and Point Mutation of Diaporthe citri Showing Resistant against Systemic Fungicides
Authors: Soe Zar Zar , Shin Yong Ho , Jeun Yong Chull
Published: November 2024

Infection behaviors of some susceptible and resistant Diaporthe citri isolates against two fungicides such as benomyl and kresoxim-methyl were observed on citrus leaves. On the chemically unsprayed leaves, there were no differences in not only the conidial germination rate but also hyphal growth between the resistant and susceptible isolates. However, on the benomyl or kresoximmethyl-pretreated leaves, both conidial germination rate and hyphal growth of the resistant isolates were not decreased, which was different with those of the susceptible isolates. These unchanging germination rate and hyphal growth of the resistant isolates, resulting in the lack of chemical efficacy, coincided with the previous studies in which strong infection was observed by the resistant isolates after pre-treatment with each chemical. On the other hand, a point mutation occurred at 198th amino acid of β-tubulin gene in the resistant isolate NEL21-2 which may cause the resistant against benomyl. However, no mutation was found in cytochrome b in the resistant isolates indicating other genomic changes may be responsible for the resistant against kresoxim-methyl.
Screening Method to Identify Watermelon Cultivars Resistant to Acidovorax citrulli, the Cause of Bacterial Fruit Blotch
Authors: Lee Soo Min , Kim Gahyeon , Kim Hun , Choi Gyung Ja
Published: November 2024

Acidovorax citrulli is a causative pathogen for bacterial fruit blotch (BFB) in Cucurbitaceae, including watermelon. The most effective method to control this plant disease is to cultivate resistant cultivars. Herein, this study aimed to establish an efficient screening method to determine the resistance of watermelon cultivars against A. citrulli. To this end, we explored the virulence of seven A. citrulli isolates belonging to clonal complex group I or II based on gltA gene analysis. Furthermore, we evaluated the BFB occurrence in the seedlings of two arbitrarily selected watermelon cultivars according to the growth stage of the watermelon seedlings, inoculum concentration, and incubation temperature after inoculation in a humidity chamber. Taken together, we established the following method to determine the resistance of watermelon cultivars against A. citrulli: watermelon seedlings at the fully expanded two-leaf stage can be spray-inoculated with an A. citrulli bacterial suspension at a concentration of 1.0 × 106 cfu/ml; after incubation for 48 h at 28℃ in a humidity chamber, the plants were cultivated in a growth chamber at 25℃ with 80% relative humidity under a 12-h light/dark cycle; and BFB occurrence on the plants can be investigated at 7 dpi by visual estimation of the diseased leaf area (%). Based on these experimental methods, we investigated the resistance degree of 43 commercial watermelon cultivars against A. citrulli KACC 17005. Therefore, our results can provide important information for the development of resistant cultivars against A. citrulli.
Protection Efficacy of Antibacterial Strains against Fire Blight Caused by Erwinia amylovora on Apple Blossom
Authors: Kim Sujeong , Shin Yong Ho , Weißhaupt Sonja , Kunz Stefan , Jeun Yong Chull
Published: November 2024

Fire blight caused by Erwinia amylovora is one of the destructive diseases in the family of Rosaceae plants, including apple and pear, in the world. Since the first report in 2015, the number of infected farms and area steadily increased in Korea. In case of eradication failure against this disease, protection strategies using both chemicals and biocontrol agents should be established. In this study, to select an effective antibacterial agent against fire blight on apple trees, four bacterial strains isolated from Jeju Island were investigated. Among the bacterial strains, Bacillus circulans BRH433-2 showed bactericidal effects against E. amylovora Ea385 forming inhibition zone on an artificial medium. The other bacterial strains such as Pseudomonas fluorescens THJ609-3, Micrococcus luteus TRK2-2 and P. fluorescens TRH415-2 showed bacteriostatic activity preventing growth of E. amylovora Ea385 in shaken cultures as well as on detached apple blossoms inoculated with E. amylovora Ea385, as measured with quantitative PCR. Bio-tests on detached blossoms showed that the treatment with all bacterial strains caused strong suppression of bacterial ooze formation, indicating inhibition of disease incidence of fire blight, which was similar to blossoms treated with streptomycin sulfate. Therefore, it was suggested that these bacterial strains may be useful in organic apple orchards to control fire blight where chemical use is limited.
Educational Equity in China's Geographical Differences
Authors: Liu Yumeng
Published: November 2024

Abstract: Education inequality has long been a worrying issue but remains a global social problem lacking remedial measures. The foundation of social development is education, and regional differences in educational levels hinder individual growth and social progress. This article explores the main causes and impacts of regional education inequality. According to the data provided in this article, the two main reasons for regional education inequality are policy and economic factors. Economically developed regions have more high-quality teachers and educational resources, while economically underdeveloped regions lack resources, which affects the quality and competitiveness of students' education. In addition, differences in household income and parental education levels further exacerbate inequality. The government has made some efforts to narrow the regional education gap, but the effectiveness of policy implementation is limited by differences in local fiscal capacity. Therefore, this article proposes some suggestions to address regional education inequality, including balanced allocation of educational resources, strengthening the construction of teacher teams, formulating policies to promote educational equity, and promoting innovative educational technologies. Through policy guidance and technological means, it is expected to improve the quality of education in impoverished areas, gradually narrow the regional education gap, and promote social equity and economic development.
The Construction of the Balancing Mechanism of Trademark License Interests
Authors: Zhao Wenrui , Zhao Wenjing
Published: November 2024

Abstract: The trademark licensing system is an important system stipulated by the Trademark Law. How to allocate the added value during the trademark licensing process between the trademark licensor and the licensee, and how the licensee compensates or compensates the trademark licensor for the depreciation of the trademark value, are not stipulated in the Trademark Law and are legal gaps. Starting from the "Wang Lao Ji" trademark dispute case and the "Red Bull" trademark dispute case, studying how to construct a mechanism for balancing the interests of both parties after the termination of the trademark licensing contract has become an urgent practical problem that needs to be solved. Trademarks are intangible assets, and their value evaluation is the primary issue. Secondly, whether to apply the contractual obligations based on the trademark licensing contract or whether the parties to the contract reach a goodwill coexistence agreement through negotiation, and then study and formulate guiding legal provisions that balance the interests of the trademark licensor and licensee, in order to provide fair protection for the rights and interests of both parties while taking into account social and public interests.
Comparative Analysis of the Current Alcohol Consumption Situation among Chinese and American College Students
Authors: Ping Weiru
Published: November 2024

Abstract: College students are at a stage of life where they are legally permitted to consume alcohol. In recent years, there has been a notable increase in the number of cases involving the misuse of alcohol by college students, which has led to widespread public concern and the recognition of this issue as a significant concern that requires attention. This study aims to compare the current situation of alcohol use among college students in China and the United States, to explore the impact of cultural differences on drinking behavior, and to propose new prevention suggestions based on existing prevention measures. This paper reviews relevant literature, including statistical data and survey reports, over the past 10 years. The results show that despite the differences in alcohol legal policies and cultural norms between China and the United States, the phenomenon of college students drinking alcohol in the two countries shows obvious similarities. This study elucidates the intricate nuances of college students alcohol consumption patterns by examining the underlying causes and consequences of their alcohol use.
Research on Differences Between Chinese and American Foreign Language Classrooms and the Impact on English Education in China
Authors: Wan Jialin
Published: November 2024

In the context of globalization, the cultivation of foreign language abilities has emerged as a crucial objective in the pursuit of enhancing students comprehensive quality. It is obvious that there are notable discrepancies in the concept and practice of foreign language teaching between China and the United States, which directly affects the formation and advancement of students linguistic abilities. This paper focuses on English classrooms in Chinese universities and Spanish classrooms in the American universities, with a particular emphasis on the differences in teaching methods, classroom interactions, and assignment settings. The study used comparative survey method and literature review to study and analyze the foreign language classes of the two countries. The results show that Chinese university English classrooms tend to focus on the mastery of grammar and vocabulary, while Spanish classrooms in the United States pay more attention to the practical use of language and adopt interactive and task-oriented teaching methods. In light of these observations, this paper puts forward some suggestions for the improvement of English education strategies in China, including improving the interactivity in Chinese English classrooms, focusing on language practice and task-based teaching, so as to enhance students practical application ability. The research aims to provide insights for English education in China and help students better adapt to and cope with the challenges of language learning and application in the context of globalization.
AI-generated Fake Information and the Crime of Internet Fraud: Current Legal Challenges and Paths to Reform
Authors: Liu Yanyan
Published: November 2024

Artificial Intelligence(AI)-generated fake information is increasingly becoming a new type of online fraud, and its legal characterization and application of constituent elements face many challenges. This study mainly analyzes and compares the similarities and differences between AI-generated fake information fraud and traditional means of network fraud, while discussing the legal definition of AI-generated fake information and its application to the existing crime of network fraud. The study found that the existing legal framework has problems such as unclear definitions of fake information and vague definitions of responsibility when dealing with AI-generated fraud, making it difficult to effectively combat and prevent such crimes. For this reason, it is recommended that laws should be amended to clarify the responsibility of each subject, technical identification should be strengthened, and the platform supervision mechanism should be improved, so that the legal risks and social threats posed by AI-generated false information can be better dealt with. The conclusion of the study shows that only through all-round and multi-level legal reform and refinement can the legal order and social security be effectively maintained.
The Application of Dramatic Structure in Digital Game Design and Its Impact on Player Emotions
Authors: Deng Jiuzhen
Published: November 2024

This study explores how dramatic structure in digital game design engages players and evokes emotional responses. Dramatic structures typically consist of five stages: Exposition, Rising Action, Climax, Falling Action, and Denouement, which share similarities with game design frameworks that require clear objectives, conflicts, and outcomes to maintain player engagement. The research investigates how each stage elicits emotional shifts in players and amplifies immersion. Through detailed analysis and case studies of popular games, the findings indicate that dramatic structure strengthens narrative cohesion and provides a reliable framework for managing tension and emotional pacing. Game developers can use these insights to create more immersive and emotionally engaging experiences, fostering stronger emotional connections between players and virtual worlds. This framework has the potential to shape the future of game design by aligning storytelling with player agency, resulting in games that evoke lasting emotional responses. This study offers practical guidelines for developers aiming to increase a game's emotional investment and overall appeal.
An Analysis of Contemporary Women's Body Anxiety in the Social Media Environment
Authors: Wang Yafei
Published: November 2024

In today's internet age, social media has emerged as a dominant platform for people to receive and share messages. However, the widespread dissemination of information on social media regarding incorrect sizing has had detrimental effects on the physical and mental health of contemporary women. This paper, based on the theory of social discipline aims to explain how social media contributes to women's anxiety about their bodies and sizes. It also explores the specific manifestations of this body anxiety and finally puts forward suggestions for coping with size and body anxiety. To effectively tackle this issue, it is of utmost importance for the entire society, including both individuals and institutions to recognize that women should not be constrained by the aesthetic standards portrayed in mainstream media. Such awareness is essential in creating a more inclusive and accepting social environment that promotes the well-being and self-confidence of women.
Analyzing the Xinjiang Elements in Sun Yiqiang's Piano Work Spring Dance
Authors: Huang Jing
Published: November 2024

Spring Dance, composed in the 1980s by Sun Yiqiang, who was born in 1948 in Shanghai, is a piano piece with distinct Chinese national characteristics. At the invitation of his friend Liu Shikun, Sun Yiqiang traveled to Xinjiang to conduct field research on local music. He was particularly inspired by observing the joyful scenes of people dancing and riding horses after work, which became the foundation for his composition. The music reflects Suns genuine emotional response to these experiences, blending both gentle and passionate tones, creating dynamic contrasts throughout the piece. It incorporates the musical elements from Xinjiang, giving the composition a regional flavor. The listener can almost feel the warmth of the Xinjiang people and the beauty of the regions environment through the music. The analysis of these elements in Spring Dance enable foreign piano enthusiasts to gain a deeper understanding of Chinese culture, particularly the musical characteristics of ethnic minorities in that border region. This, in turn, helps promote Chinese culture as a bridge of friendship both domestically and internationally.
Characteristics and Challenges of Carbon Capture and Storage Technologies
Authors: Huang Xianglong
Published: November 2024

Climate change is a pressing global issue, leading to the establishment of various carbon reduction goals, and thus carbon capture and storage (CCS) technology has attracted considerable attention. This article provides an overview of the primary carbon capture and storage technologies, explores their technical principles along with their pros and cons, and examines the challenges they encounter. There are three ways to capture carbon: post-combustion, pre-combustion, and oxy-combustion. Post-combustion capture includes adsorption, absorption and membrane separation. Adsorption can be further categorized into four specific technologies: Temperature Swing Adsorption (TSA), Pressure swing adsorption (PSA), Vacuum swing adsorption (VSA), and Electric swing adsorption (ESA). Absorption has physical and chemical types. Membrane separation is to filter the gas to CO2. Pre-combustion capture is to use physical solvents to separate the gas. Oxy-combustion uses pure oxygen to obtain CO2. There are three ways to store carbon, geo-sequestration, marine storage and mineralization storage. Geo-sequestration is to bury CO2 in a suitable state in the rock layer below the surface. Marine storage is to bury CO2 in various places in the sea in a classified manner. Mineralization storage refers to the use of solid waste rich in calcium and magnesium to mineralize CO2 and produce chemical products. There are three main challenges facing CCS technology: economically, the cost is too high with low benefits. The technology is not mature enough and will consume too much energy. Environmentally, there is a potential for ecological deterioration.
The Influence of 2020 California Wildfire on ESG Investment in Equilibrium Based on Sustainable Investment Model
Authors: Chen Qianlei
Published: November 2024

With the change of climate and the pursuit for a balanced development between economy and society, green companies in the ESG investment have received much attention in recent years. At the same time, there are some extreme environmental events that may have influence on the market attitude towards ESG investment, thus affecting the benefits of ESG investors. In order to study the impact of 2020 California Wildfire, this research constructs the optimal portfolios considering ESG investors ESG preference based on the portfolio theory for both the before-fire and after-fire periods. Then the portfolio performance is quantified by using a sustainable investment model in the equilibrium market. It is found that the difference between the return of ESG portfolio and the market portfolio was larger before the fire, representing an insufficient market attention on the ESG investment. However, the gap was narrowed after the fire. Meanwhile, despite lower investor surplus, after-fire ESG investors had larger alphas than before. Therefore, the 2020 California Wildfire raised the market attention on ESG investment, which reduced the actual financial losses of ESG investors.
Research on the Marketing Strategy of Apparel Retail Industry under Digital TransformationTaking Li Ning Brand as an Example
Authors: Li Yixuan
Published: November 2024

In the wave of digital transformation, apparel retail brands are facing significant opportunities and challenges. Apparel brands such as Li Ning need to fully embrace digitization to achieve all-round transformation and upgrading from product development to customer service. Meanwhile, they need to actively respond to the rapid changes in technology, rising consumer expectations and the increasing complexity of supply chain management. Through continuous technological investment, innovation and optimization of supply chain management, in order to maintain a leading position in the highly competitive market to achieve sustainable development. This paper uses Porter's Five-Forces Model to analyze the e-commerce field development background of Li Ning brand, the change in the percentage of consumers in each age group, consumer preference, supply chain management and other elements.
The Impact of Environmental Regulation on Corporate ESG Performance Empirical Studies Based on Deterrent Effects
Authors: Li Jiayu
Published: November 2024

The concept of sustainable development has been increasingly emphasized by all sectors at home and abroad, but the reality is that environmental performance is not satisfactory, and the market mechanism cannot well solve the problem of conflicting interests between enterprises and society. Based on the deterrence theory in criminal economics, this paper analyzes the internal mechanism of environmental regulation from the perspective of peer influence, and empirically investigates the impact of environmental penalties on ESG scores of target companies. The sample of listed heavy polluters from 2009 to 2022 is analyzed with the data of corporate environmental penalties. The empirical results show that target firms increase their ESG composite scores when environmental penalties are observed, i.e., environmental regulation has a deterrent effect through the peer influence path. In addition, factors such as industry competition intensity, media attention, and executive compensation have an impact on the deterrent effect of environmental regulations, which is reflected in the fact that the stronger the industry competition intensity, the more media attention, and the higher the executive compensation, the stronger the deterrent effect of peer firms. The study concludes that when the government imposes environmental penalties on non-compliant companies, it can improve the deterrent effect of environmental regulations by appropriately increasing the typicality and severity of the penalties, and at the same time exerting the roles of public opinion supervision and industry competition.
Financial Risk Management Based on Big Data Technology
Authors: Shen Zhihao
Published: November 2024

In the past decade, the financial industry has shown a trend of rapid development, with traditional financial institution models gradually being replaced by a coexistence of traditional and various emerging financial forms. As the operating models in the financial industry undergo corresponding changes, the types and quantity of risks that may exist within the industry continue to increase. The complexity of financial risks is gradually becoming more pronounced, with factors such as changes in laws and regulations, lack of credit assessment, and data loss or leaks in internet financial trading platforms potentially leading directly to financial risks. Employing traditional work models and methods for financial risk management often makes it difficult to achieve the desired risk control outcomes. Currently, big data technology has been widely utilized in the insurance, banking, and other sectors of the financial industry. Major financial institutions continuously innovate the traditional methods of analyzing and processing data information by leveraging big data, transforming the way financial data exists in the industry. Only by actively adapting to the trends of the times and flexibly applying big data technology to practices such as credit assessment and risk alerting can financial risk management innovation be comprehensively promoted, resulting in effective control of complex financial risks. Based on this, this paper analyzes the changes and characteristics of financial risk management in the era of big data, discusses the important role and specific applications of big data technology in the field of financial risk management and proposes relevant strategies for enhancing financial risk management in the big data environment, aiming to advance the progress of financial risk management in the era of big data.
Exploring the Potential and Challenges of Blockchain in Real Estate Financial Engineering
Authors: Xian Beibei
Published: November 2024

Blockchain technology has become a breakthrough innovation, likely to revolutionize various industries, including real estate, by improving transaction efficiency, transparency and accessibility. This paper critically examines the transformative potential of blockchain technology in real estate financial engineering, focusing on the mechanisms of fractional ownership, asset tokenization, and the enforcement of transactions through smart contracts. The purpose of the study is to evaluate how blockchain innovations could disrupt traditional real estate investment models by allowing for the purchase of fractional interests in properties, facilitating the tokenization of real assets, and leveraging smart contracts for efficient and transparent transaction execution. Employing a mixed-methods approach, which includes a literature review, case study analysis, and data statistics, the research investigates the enhancements in liquidity, portfolio diversification, and market accessibility. The findings reveal that blockchain technology significantly democratizes investment and streamlines operations. However, it simultaneously confronts substantial challenges, including regulatory hurdles and the need for broader market acceptance. The paper concludes with strategic recommendations for stakeholders considering blockchain adoption in real estate financial structures and identifies areas for further investigation to optimize these technological advancements.
Business Model Innovation of IKEA China in the Digital Economy
Authors: Huo Yina
Published: November 2024

In the era of digital economy, the wide application of information technology has made it easier to design business models effectively. As a result, the competitive landscape and business models of the retail industry have undergone profound changes against the backdrop of the explosive growth of the digital economy. In response to market changes, IKEA China has implemented digital innovation initiatives with the objective of exploring new avenues for IKEA to meet the challenges and seize the opportunities presented by the Chinese market. In this paper, through PESTEL and Porters Five Forces analysis tools, the macro environment and competitive environment IKEA China is in in the digital economy era are systematically analyzed, and its business model innovation strategy is then discussed. The results show that IKEA China has realized business model innovation through digital transformation, innovative marketing strategies, and the integration of new retail models under the influence of multiple factors, including political, economic, social, technological, environmental, and legal aspects. Moreover, the paper evaluates the effectiveness of IKEA Chinas business model innovation and makes suggestions for future development, which offers a practical reference point for the digital transformation of the retail industry, while also providing a model for other enterprises seeking to innovate in the context of the digital economy.
Exploring the Spatial Distribution of B&B in Ningbo and Its Influencing Factors
Authors: Liu Hanning
Published: November 2024

The introduction of recent policies and standard guidelines in China has propelled the B&B industry towards transformation and advancement, making B&B tourism a pivotal force in fostering regional tourism growth. Utilizing POI data from B&B in Ningbo, Zhejiang Province, this study employs methodologies including standard deviation ellipses, average nearest neighbor index, kernel density estimation, cold spot analysis, and MGWR to quantitatively analyze the spatial distribution characteristics of B&B and their key determinants. Findings reveal: (1) B&B in Ningbo exhibit a spatial pattern of central clustering surrounded by peripheral dispersion. Ningbo has two high-density core areas for B&B; (2) Ningbo city districts and counties B&B distribution differences, was "northwest - southeast" extended distribution; (3) the location of B&B strongly correlates with tourist attractions; (4) Primary factors influencing B&B distribution in Ningbo, ranked by explanatory power, include attraction density, per capita GDP, urban residents' disposable income, highway density, elevation, and railway density.
Challenges and Countermeasures for Chinas Cross-Border E-Commerce in International Market Competition under the Belt and Road Initiative
Authors: Gong Jingxian
Published: November 2024

Under the Belt and Road initiative, Chinas cross-border e-commerce faces several challenges in international market competition, including difficulties in brand development, issues in logistics and supply chain management, risks and problems related to cross-border payment services, and localization and compliance issues. To address these challenges, Chinas cross-border e-commerce can implement the following countermeasures: First, deepen brand development by enhancing cultural recognition and emotional connections. Second, optimize logistics and supply chain management to reduce logistics costs and improve efficiency. Third, innovate payment settlement methods to enhance transaction convenience, strengthen regulatory cooperation with relevant countries, jointly establish cross-border e-commerce payment standards, and improve transaction security. Finally, understand local markets in depth, form localized teams, learn about overseas regulations, and establish a sound compliance management system to effectively address compliance challenges and achieve sustainable development. Through these measures, Chinas cross-border e-commerce can better seize market opportunities and enhance international competitiveness under the Belt and Road initiative.
An Empirical Analysis of the Impact of the 2008 Financial Crisis on China and the Response Pathways
Authors: Gao Jiayi
Published: November 2024

The 2008 financial crisis was the most severe global financial crisis since the Great Depression of 1929. This crisis not only reshaped the international financial landscape but also profoundly influenced the economic policies of countries worldwide. The impact on the Chinese economy was particularly significant. Through empirical research, this paper aims to deeply analyze the specific impacts of the 2008 financial crisis on the Chinese economy and to explore the strategies adopted by the Chinese government in response and the effectiveness of these measures. This study provides a reference for policy-making in the face of potential future financial crises.
Optimizing Tesla Charging Station Matching with Diverse Driver Preferences: Solving the Tie-Breaking Challenge
Authors: Zuo Hangyu
Published: November 2024

The rise of electric vehicles (EVs) has underscored a critical infrastructure challenge: the rather large difference between the growing need for charging stations and the number of them in existence. Existing allocation methods, which mainly involve proximity-based methods, do not take the variation of drivers into consideration, so there are inefficiencies. Specifically, this paper focuses on approaching the matching problem by the Gale-Shapley Deferred Acceptance (DA) method and its ability to untie the tie-breaking problem in preference-based systems for matching drivers with the Tesla charging stations. Thus, if AC factors include charging speed, cost, and the driver's urgency level, the DA algorithm will have a more efficient distribution of scarce resources for different requirements. More specifically, the study proves that with a higher level of matching, there is increased efficiency and justice in the distribution of charging stations, thus helping to improve the experience of the users and increase the utilization of resources.
Securing the Future: Shifting to Post-Quantum Cryptography Amidst Quantum Threats
Authors: Sun Yidan
Published: November 2024

Current cryptographic systems, heavily reliant on classical algorithms, are increasingly vulnerable to the formidable capabilities of quantum computing. Notably, quantum algorithms such as Shors and Grovers pose profound threats by accelerating decryption processes, which could soon make existing cryptosystems ineffective. This paper stresses the critical need and complexity of shifting to Post-Quantum Cryptography (PQC) to safeguard encrypted communications against these emerging quantum threats. It outlines the timeline of the National Institute of Standards and Technologys (NIST) efforts in standardizing PQC, elucidating the significant challenges and the essential nature of adopting these new standards. While NIST provides structured guidance, transitioning to PQC presents substantial risks and difficulties, particularly in terms of organizational adaptation and the technical overhaul required. The discourse further explores the tangible implications of quantum advancements on both symmetric and asymmetric key cryptography, highlighting the potential vulnerabilities and the increased risk of security breaches. The paper underscores the imperative for immediate action in initiating the transition towards robust PQC systems, given the rapid development and anticipated deployment of quantum computing technologies capable of decrypting currently secure information. This transition is not merely a technical upgrade but a crucial strategic move to preemptively counteract quantum threats, ensuring the continued confidentiality and integrity of sensitive data across various sectors.
Research on Traffic Flow Prediction Methods Based on Deep Learning
Authors: Chen Junjin , Song Jiatong
Published: November 2024

In recent years, traffic flow prediction technology has been transformed from statistics based parametric methods and machine learning driven non-parametric methods to big data driven deep learning methods. This paper summarizes and summarizes the existing methods and improvement measures of long and short term traffic flow prediction based on deep learning. The time range of traffic flow forecast based on the model is divided into long-term and short term. The short-term traffic flow forecasting methods are subdivided into time series model, non-parametric forecasting model and probability forecasting model, and the advantages and disadvantages of each method and the feasibility of the specific methods are summarized. As for the long-term model, it is mainly based on the application of GCN model to other models, and then the specific methods of its hybrid model are outlined, systematically describing the value of deep learning in traffic flow prediction. Finally, the future research direction and development trend in this field are predicted and prospected.
Traffic Flow Prediction with Strong Dynamic Spatiotemporal Dependence Using a Hybrid Model of Transformer and TCN
Authors: Liang Bowei
Published: November 2024

The accurate prediction of traffic flow is a fundamental component of intelligent transportation systems and smart city planning. Conventional methodologies frequently encounter difficulties in capturing the intricate and evolving spatial-temporal interdependencies intrinsic to traffic data. Recent advances have employed Graph Neural Networks (GNNs) and attention mechanisms to address these challenges. However, existing models typically address spatial and temporal dependencies in isolation and may not fully leverage multi-modal interactions within the data. This paper proposes a novel framework, the Multi Modal Traffic Flow Encoder (MMTFE), which integrates temporal attention, spatial attention, and Temporal Convolutional Networks (TCN) for the joint modeling of the complex spatial-temporal patterns observed in traffic flows. By combining these components in a unified architecture, our model effectively captures dynamic dependencies and improves prediction accuracy. The superiority of the proposed approach is substantiated by comprehensive experimental investigations on actual traffic data sets, which reveal that it outperforms existing cutting-edge techniques.
Research and Application of Transformation-based Generative AI Technology
Authors: Yuan Yongtao
Published: November 2024

In recent times, generative AI has cropped up with many potential areas where its implementation can promise great efficiency. Above all, there is the Transformer model for which a detailed report is required for elaboration on principles, advantages, and disadvantages. To begin with, in this paper, the basic structure and function of the Transformer model will be examined in depth by discussing the effect of the Transformer model on natural language processing and image generation. Case studies showing practical applications are done by the chapter in content creation, marketing, customer support, virtual assistance, and mental health services by showing how this technology will redefine the fields. The paper finally reviews the literature at the end towards pointing to the future for the formulation of actionable recommendations with the view of enhancing both capabilities and applications related to generative AI technologies. This work underlines the profound impact of Transformer-based generative AI in innovation and efficiency across several dimensions.
Few-Shot Learning Method Based on Data Enhancement and Transfer Learning
Authors: Liu Bo
Published: November 2024

With the significant progress of deep learning technology in many fields, the dependence of model training on a large amount of labeled data is increasingly prominent. However, in many practical application scenarios, especially in tasks with high labeling costs, data scarcity often occurs. This realistic challenge has promoted the rise of Few-Shot Learning (FSL) technology, which seeks to achieve effective learning of models with extremely limited samples. This article provides a comprehensive overview of the theoretical background, key technologies of FSL, to explore its potential and effectiveness in solving the problem of small-sample learning. In the method overview section, this article pays special attention to FSL strategies based on data augmentation and transfer learning. By reviewing and analyzing these methods, this article aims to provide some theoretical support and technical references for further exploration in this field and hopes to contribute to solving the problem of data scarcity and promote the sustainable development of this field.
Exoskeleton Robot Based on Brain-Computer Interface
Authors: Cao Hongchang
Published: November 2024

Brain-computer interface (BCI) technology represents a means of facilitating human-computer interaction. One of the most widely accepted paradigms of brain-computer interface is motor imagery, which enables the recognition of electroencephalogram (EEG) signals generated in a specific brain region by imagining the movement of a limb. Following the acquisition, preprocessing, feature processing, and signal classification of the EEG signals, the complex signals are accurately recognized. Therefore, by creating a control system that translates the recognized EEG signals into movement commands for the robot and transmits them to the robot, it is possible to control the robot's movements by motor imagery. The convolutional neural network is the most popular signal processing algorithm due to its high EEG recognition accuracy, excellent performance in feature extraction, and superior performance in end-to-end learning. The convolutional neural network is an optimal method for signal processing in robot control. This makes CNN an optimal choice for processing EEG signals in robot control, enhancing both the effectiveness and user experience of BCI systems by enabling more intuitive and responsive interactions with robotic devices.
Critical Elements and Theoretical Logic of Horizontal Transfer Payment System for Eco-Compensation: A Study Based on Grounded Theory
Authors: Shen Tingyue
Published: November 2024

In recent years, how to coordinate the sustainable production and life of human society with the protection of ecological environment has become particularly important. This paper reviewed and analyzed the existing Chinese and English literature on Horizontal transfer payment system for eco-compensation (or hereinafter referred to as ECITPS), based on which this paper applied Grounded Theory to study the critical elements and theoretical logic of the System, exploring its formation process and logical procedure, and constructing a theoretical model of this System. It was found that the theoretical model of eco-compensation Horizontal transfer payment system is mainly divided into three stages, namely, the early, middle and late stages. Moreover, the logic of the ECITPS as a whole was the validation of PDCA Deming Cycle Theory, while the previous research on Horizontal transfer payment for eco-compensation was more focused on the specific object, with a lack of the overall macro understand of the theoretical framework for the system. Therefore, this paper assisted to promote the improvement of the ECITPS from the macro theoretical framework, and provided a reference idea for the development of the transfer payment field in the future period.
中国近代翻译史嬗变轨迹中后殖民主义翻译思想的探究
Authors: 罗 娜
Published: November 2024

中国自1840年起就进入了半殖民地的历史，在这段历史中，中国现代文学的发展大致经历了三个阶段：从鸦片战争后到19世纪末的萌芽期、清末民初的拓展阶段，以及五四运动之后的繁荣时期。尽管“后殖民主义”一词在20世纪90年代才出现，关于后殖民时代相关的文学理论研究早在20世纪70年代便已开始，这也是本文能够从中国近代探究后殖民主义翻译思想的逻辑基点。通过结合后殖民主义翻译演进的翻译策略，分析近代翻译三个时期的活动，探究背后所蕴含的中国本土与殖民文化的斗争、交流、创造的发展态势，得出中国近代翻译跟随思想转型进程步伐，翻译策略变化过程体现为从渐进性归化到最后发展为杂合性翻译的结论。