bluuebunny/crossref_metadata_2025 huggingface dataset:
Oxidation-enabled SnS conversion to two-dimensional porous SnO2 flakes towards NO2 gas sensing
Authors: Lu Zhiwei , Pei Xiaoxiao , Wang Tingting , Gu Kewei , Yu Nan , Wang Mingsong , Wang Junli
Published: January 2024

Thermal oxidation of 2D SnS flakes at ≥800 °C leads to 2D porous SnO2 flakes, which exhibit superior sensitivity, response/recovery speed, selectivity, and a low limit of detection for NO2 gas sensing.
Synthesis, characterization, and density functional theory investigation of (CH6N3)2[NpO2Cl3] and Rb[NpO2Cl2(H2O)] chain structures
Authors: Rajapaksha Harindu , Benthin Grant C. , Markun Emma L. , Mason Sara E. , Forbes Tori Z.
Published: January 2024

The bonding, non-covalent interactions, vibrational features, and formation reactions were explored with Np(v) Cl- compounds. DFT calculated ΔHr of chain formation showed the thermodynamic favorability of reactions forming the molecular components.
Amorphous bismuth and GO co-doped WO3 electrochromic film with fast-switching time and long-term stability
Authors: Zheng Jin You , Sun Qimeng , Yang Huijing , Yu Shuang , Li Mengsi , Yu Xiaomei , Wang Chengduo , Liu Tiantian , Li Songjie
Published: January 2024

Amorphous Bi and GO co-doped WO3 film with excellent electrochromic performance.
pH-responsive on-demand release of eugenol from metal–organic frameworks for synergistic bacterial killing
Authors: Wang Jing , Li Lin , Hu Xingyu , Zhou Lulu , Hu Jing
Published: January 2024

Bacterial infections are a big challenge in clinical treatment, making it urgent to develop innovative antibacterial systems and therapies to combat bacterial infections.
Differences in carotid to femoral pulse wave velocity and carotid intima media thickness between vegetarian and omnivorous diets in healthy subjects: a systematic review and meta-analysis
Authors: Saz-Lara Alicia , Battino Maurizio , del Saz Lara Andrea , Cavero-Redondo Iván , Dávalos Alberto , López de Las Hazas María-Carmen , Visioli Francesco , Lucerón-Lucas-Torres Maribel , Giampieri Francesca
Published: January 2024

Our results support the inclusión ofa well-balancedvegetariandietarypatternin the preventionand managementofcardiovascular diaseses.
Recent advances in the total synthesis of polyhydroxylated alkaloids via chiral oxazines
Authors: Park Seokhwi , Myeong In-Soo , Ham Won-Hun
Published: January 2024

The flexible synthetic strategy utilizing syn,syn-, syn,anti-, anti,syn-oxazines enabled the synthesis of 30 diverse polyhydroxylated alkaloids.
Impact of hydrogen bonding interaction energy on the polymerization kinetics of polymerizable deep eutectic solvent monomers
Authors: Lin Liang , Li Ren'ai , Chen Guangxue , Wang Xiaochun , Cheng Junhao , Zhao Jiali , Zhao Kai , He Minghui
Published: January 2024

Research reveals that hydrogen bond is the primary factor contributing to the high activity of PDES monomer, while the steric effect within the PDES system weakens the activity of the PDES monomer by competing with the hydrogen bonding effect.
Alternatives to fluorinated binders: recyclable copolyester/carbonate electrolytes for high-capacity solid composite cathodes
Authors: Yeo Holly , Gregory Georgina L. , Gao Hui , Yiamsawat Kanyapat , Rees Gregory J. , McGuire Thomas , Pasta Mauro , Bruce Peter G. , Williams Charlotte K.
Published: January 2024

A series of poly(ester-b-carbonate) electrolytes are prepared by a one-pot procedure and structure–property relationships are observed. The polymer was used as a composite cathode binder with excellent discharge capacity and capacity retention.
Hysteresis in phase volumes, compositions and interfacial roughness in model OPV-small-molecule/polymer thin-films
Authors: Higgins A. M. , Gutfreund P. , Italia V. , Nelson A. , Cabral J. T. , Hynes E. L.
Published: January 2024

Non-equilibrium bilayer mixing on isothermal annealing near Tg; extensive mass-transfer occurs, but the top layer composition, layer thicknesses &/or interfacial width can become stuck in a local minimum.
Inertial migration of polymer micelles in a square microchannel
Authors: Shi Qingfeng , Wu Jintang , Chen Haisong , Xu Xiaolong , Yang Yong-Biao , Ding Mingming
Published: January 2024

Using a hybrid simulation approach that combines a lattice-Boltzmann method for fluid flow and a molecular dynamics model for polymers, we investigate the inertial migration of star-like and crew-cut polymer micelles in a square microchannel.
Development of quinoline-based heteroatom polybenzoxazines reinforced graphitic carbon nitride (GCN) carbonisation composites for emerging supercapacitor applications
Authors: Selvaraj Kumar , Spontón Marisa Elisabet , Estenoz Diana Alejandra , Forchetti Casarino Agustín , Veerasamy Uma Shankar , Kumar Manimaran , Al-Mohaimeed Amal M. , Al-onazi Wedad A. , Kannaiyan Dinakaran
Published: January 2024

The current research described in this paper focuses on the development of a new quinoline-based Mannich-type benzoxazine and its use to obtain advanced carbonisation materials with a high energy storage capacity.
Escape dynamics of active ring polymers in a cylindrical nanochannel
Authors: Li Chuqiao , Chen Qiaoyue , Ding Mingming
Published: January 2024

We explore the escape dynamics of active ring polymers confined in a cylindrical nanochannel using Brownian dynamics.
Type‐2 fuzzy‐based adaptively predictive controlled variable frequency transformer coordinated to SMES for improved load frequency control
Authors: Manzoor Saira , Mufti Mairaj‐ud‐din , Bakhsh Farhad Ilahi , Ahmad Akbar
Published: January 2024

Traditionally, phase shifters powered by power electronics are used in conjunction with energy storage devices to improve the load frequency control. Conventional phase shifters provide minimal inertia and offer a significant threat to power quality due to harmonics. This study suggests the type‐2 fuzzy based adaptively predictive controlled variable frequency transformer (F2‐APC‐VFT) as a phase shifter to work in coordination with superconducting magnetic energy storage (SMES) for improved load frequency control. To assess the effectiveness of coordinated control, a two‐area, four‐machine linked power system with F2‐APC‐VFT installed in succession with the connecting line near to area one and SMES in the other area is employed. A type‐2 fuzzy controller is used to tune the cost function weights of the adaptive predictive controller (APC). A simulation study is conducted in MATLAB to show the effectiveness of the suggested strategy. Tuning the cost function weights with a type‐2 fuzzy controller considerably impacts in minimising the frequency and tie‐power deviations. The effectiveness of the F2‐APC is verified by comparing its performance with that of an adaptive neuro fuzzy inference system (ANFIS) controller and constant weight‐based adaptive predictive controller (C‐APC).
Influence of reference sphere on test accuracy of Ritchey–Common method
Authors: Zhu Shuo , Zhang Xiaohui
Published: January 2024

The authors analyse the influence of reference sphere on the test accuracy of Ritchey–Common method during testing of flat mirror surface. A simulation model is established to simulate the influence of different radii of curvature of reference sphere on system wavefront. Then, the difference between the flat mirror surface result with reference sphere surface error to the actual flat mirror surface is examined by this model. The test accuracy of flat mirror result can be effectively improved by eliminating the influence of the surface error of reference sphere. When the surface accuracy of the reference sphere is better than 0.01 λ, the influence on RMS test accuracy is within 0.01 λ. R–C test path is built to test a 100 mm‐diameter flat mirror surface, and its results are compared with those of the flat mirror surface without surface error of reference sphere and with the test result of the interferometer. When the surface accuracy of the actual used area of reference sphere is better than 0.01 λ, the effect on flat mirror RMS accuracy is within 0.01 λ. The RMS test accuracy can reach 0.01 λ, when the surface error of reference sphere is retained. The experiment verifies the correctness of the simulation results and guarantees the improvement in the test accuracy of R–C method.
Regularity results and optimal velocity control of the convective nonlocal Cahn-Hilliard equation in 3D
Authors: Poiatti Andrea , Signori Andrea
Published: January 2024

In this contribution, we study an optimal control problem for the celebrated nonlocal Cahn-Hilliard equation endowed with the singular Flory-Huggins potential in the three-dimensional setting. The control enters the governing state system in a nonlinear fashion in the form of a prescribed solenoidal, that is a divergence-free, vector field, whereas the cost functional to be minimized is of tracking-type. The novelties of the present paper are twofold: in addition to the control application, the intrinsic difficulties of the optimization problem forced us to first establish new regularity results on the nonlocal Cahn-Hilliard equation that were unknown even without the coupling with a velocity field and are therefore of independent interest. This happens to be shown using the recently proved separation property along with ad hoc Hölder regularities and a bootstrap method. For the control problem, the existence of an optimal strategy as well as first-order necessary conditions are then established.
Analysis of The success of Construction Projects Based on Labor Productivity
Authors: Urrahmi Malia , Zukhrina Oktaviani Cut , Mubarak
Published: January 2024

The success of a construction project is often achieved when it meets the set targets with various limitations in cost, time, and quality. To achieve and sustain project success, companies must acknowledge the significance of human or labor resources as factors directly linked to labor productivity have a direct impact on project success. The purpose of this study is to analyze the relationship between labor productivity and the success of construction projects. The population for this study consists of contractor companies in Banda Aceh City that are members of the GAPENSI association. The total population was determined to be 30 contractor companies, each with a sample of one Project Manager (PM) from the respective company. The research method is quantitative, with primary and secondary data sources. Data gathering involved the distribution of closed questionnaires to the participant. Data analysis technique using multiple linear regression analysis method. The results showed the magnitude of the influence of labor productivity with a coefficient of determination (R2) of 0.911. This means that labor productivity can account for approximately 91.1% of the variation in project success, while other variables outside the variables of this study explain the remaining 0.9%.
Comparison of dilemma zone length between car and motorcycle using visual observation data
Authors: Prahara Eduardi , Hakim Bagus , Arofah Muhammad
Published: January 2024

There is a zone known as the dilemma zone located on each arm of a signalized intersection. In the dilemma zone, there is a decision to go through the intersection at the risk or a decision to stop suddenly. The longer the dilemma zone, the higher the risk that the driver will pass through the intersection. Therefore, the purpose of this study is to present a comparison of visual observation data between car and motorcycle regarding the length of dilemma zone for 3 seconds yellow interval at the 3-arm signalized intersection. The length of dilemma zone for car is longer than motorcycle in peak-hour (by about 100%) and this can be found that the acceleration/ deceleration time for cars are slower than motorcycles. Other result shows that the length of dilemma zone for cars has significant different in off-peak hours and peak hours.
Performance Evaluation of Domestic Wastewater Treatment Plant Systems: A Case Study of Domestic Wastewater Systems in Lembah Hijau Housing, Banda Aceh City, Indonesia
Authors: Muhammad Syah Iwan , Suhendrayatna Suhendrayatna , Zaki Muhammad
Published: January 2024

One of the residential areas in Banda Aceh City that has problems with wastewater management is the Lembah Hijau housing, Lueng Bata District. In 2018, the government has built and operationalized 2 units of Local Domestic Wastewater Management Installation (WWTP) with a service capacity of 50 households per unit and a capacity of 72m3/day. The purpose of this study was to examine the existing conditions and functions of WWTP, technical aspects, social aspects and institutional aspects, and the impact of Communal WWTP on the environment with parameters namely pH, BOD, COD, TSS, oil and grease. The method used in this research is a quantitative method. The results showed that the existing conditions of 2 communal WWTP units in the Lembah Hijau Housing, namely one WWTP unit Jl. Al-Firdaus functions and can be operationalized. One unit of communal WWTP Jl. Barata V could not be operated because the elevation of the house's drain pipe was lower than the installation pipe for the complex shelter being built. The technical aspect is disposal (overflow/ overflow) in which the end of the septic tank is discharged into the local canal or drainage. Test results for pH, BOD, COD, TSS, oils and fats show a BOD value of 54.7 mg/L with a quality standard of 30 mg/L, meaning that the BOD value has exceeded the quality standard. Therefore, the follow-up and management of the wastewater is required. The pH test results were still below the quality standard of 5.5. The COD test result was 92.6 mg/L. Test results against Total suspended Solid (TSS) of 20.9 mg/L with a quality standard of 30 mg/L means that the TSS value is still below the quality book which is still permissible.
Construction Bidding Process in Aceh Province
Authors: Pasha Zamroni , Aulia Teuku Budi , Mubarak
Published: January 2024

The problem of construction bidding process, according to current regulations it is called a tender, is an issue that is integrated with the development of facilities and infrastructure in a region. The bidding process is linked to the success and failure of a development, especially in Aceh. The tender of these providers is a process of bidding the executors of a development/infrastructure which has a major impact on the speed of regional development or can be a factor inhibiting/delaying development. The purpose of this research is to analyze the causal factors that make a development successful or an obstacle to the provider bidding process in the construction of construction facilities and infrastructure in Aceh. The research method is a descriptive method by combining qualitative and quantitative methods. The qualitative method was carried out through observation and interviews, while the quantitative method was carried out through distributing questionnaires to respondents and then processing the data with statistics. The results showed that the first dominant factor influencing the provider bidding process at UKPBJ Aceh Province was the information system with the highest score of 32.7674. The second factor is facilities and infrastructure (X6) with a value of 24.9302, followed by the third factor is Transparency (X7) with a value of 24,7209. The winning factor for tender participants is the bidding document factor of 87.3%, the information system factor is 73.5% and the transparency factor is 84.7%. Factor affecting failure of the bidders is Bidding Documents (X4), Election Schedule (X5), Distribution of Tasks (Especially UKPBJ and Working group procurement of goods and services/Pokja Officials) (X2), Standards Used (Especially UKPBJ and Working group procurement of goods and services/Pokja Officials) (X3).
Achieving Green Construction Rating in Building Projects with Fuzzy System Approach
Authors: Winanda Lila Ayu Ratna , Yami Nur , Kartika Deviany , Manaha Yosimson Petrus , Ma’ruf Annur
Published: January 2024

Green construction is a way of planning and managing construction projects to minimise the impact of the construction process on the environment so that there is a balance between environmental capabilities and human needs for current and future generations. Appropriate Land Use (ASD), Energy Efficiency and Conservation (EFC), Water Conservation (WAC), Material Sources and Cycles (MRC), Air Quality and Space Comfort (IHC), and Building Environmental Management (BEM) are six guidelines for evaluating green building assessments. These are used as a benchmark for green buildings; a check is carried out to determine the rating of the building. The evaluation is carried out by distributing questionnaires. The data is processed using the Fuzzy method through the Matlab application, which refers to the Greenship 1.2. The results showed that the calculation analysis with the help of MS Excel and modelling with a fuzzy system in the Matlab application gave the same predicate results. Validation of modelling results with case studies on Building Projects in Malang City showed Bronze predicates with a total index of 44 Points and Silver predicates with a complete index of 57 Points.
Waste Analysis to Support the Implementation of Lean Construction on Building Project
Authors: Winanda Lila Ayu Ratna , Pangestu Yuda Arya , Wijayaningtyas Maranatha , Yuwono Endro , Erfan Mohammad
Published: January 2024

In the implementation of a project, it cannot be separated from the name of obstacles or failures. Failure can be caused by waste, including material delays, work repetition, low labour productivity, implementation strategies and poor project planning. Lean Construction handles projects by minimizing waste and trying to produce the maximum value possible. This research aims to identify waste factors in building construction and then analyse the dominant factors of waste. The data was collected using a questionnaire from 23 respondents involved in projects execution and then analysed using the Simple Additive Weighting (SAW) method to find the dominant waste factor in building construction projects in Malang City. According to the calculation, the result shows that the most dominant factor of waste from construction projects in Malang City is waiting criteria with a value of 0,278. Furthermore, the identified results will be used to determine the appropriate strategy towards zero waste.
The effect of different wrapping schemes on the shear capacity of rc beams using the finite element method
Authors: Rabaiyani Joda Rahmi , Saidi Taufiq , Hasan Muttaqin
Published: January 2024

Structural strength degradation was a highly important issue in the construction sector. In recent years, studies on the use of Natural Fiber Reinforced Polymer (NFRP) composites as external reinforcement have been started. The innovation of using abaca fibers as a mixture in NFRP composites provides a sufficiently high tensile strength. This innovation has the potential to be further developed to optimize the mechanical properties and applications of the composite. With the current technological advancements, numerical analysis carried out using various software based on finite element methods is one tool to solve the engineering problem. One of them was the ATENA software. This research aimed to strengthen the shear capacity of reinforced concrete beams using abaca FRP composites with various wrapping schemes (two sides wrap, U wrap, and complete wrap). The beams were modeled and analyzed by ATENA software. The solution of this problem was solved using the arc-length method. The numerical analysis results showed an increase in the maximum shear capacity by 11%, 14%, and 18% for two sides, U, and complete wraps, respectively. The crack angle on the complete wrap beam occurred at 37 degrees, and it was the largest among the other beams.
“Under Armour” Style of Media Marketing and Its Future
Authors: Cao Wenguan
Published: January 2024

Under Armour has become a popular brand in a highly competitive market, and its use of media such as “word-of-mouth advertising”, “star effect”, “film and television advertising” and “actively adapting to the Internet era” has made its profits more and more profitable. But this approach still has a lot to improve, for example, the company’s sales reflected in the financial statements in recent years are not impressive, the comfort of its clothing has been challenged by many peers, the aesthetics of product equipment has been criticized, and the price-performance ratio is not advantageous, and its future development direction has made many customers and analysts want to study. How it can reverse the current disadvantage is also a topic of interest to many people. This paper expanded the explanation and description of its media communication advantages, as well as explain and analyze the company’s marketing strategy and give feasible recommendations.
Research on Analyzing the Commercial Value of AI and Kwangya World View to SM Entertainment based on AESPA’s Musical Concept
Authors: Weng Huiyin
Published: January 2024

Since AI plays an important role in the development of human beings nowadays, it is becoming a topic that people want to consider. For example, people are deeply dependent on high-precision AI tools to analyze data. Similarly, SM Entertainment also captured the importance of AI, creating the girl group AESPA and building the Kwangya worldview. Although SM Entertainment already has famous idol groups such as NCT and Red Velvet, it still chooses to take the risk of building, Kwangya, a brand-new concept. Some scholars studied the reasons that AESPA stands out among many idol groups from the visual design aspect and also researched AESPA’s influence on fans, but there is still a research gap in finding the business value of AESPA and Kwangya on SM Entertainment. Therefore, the article studies compare different idol groups’ visual concept settings and idol role positionings, and it found that AESPA is the most suitable team for the Kwangya world because of its clear and definite role positioning. The Kwangya worldview is also more attractive than other groups’ concepts. Also, the close connection with AI allows AESPA to get more cooperation opportunities. Therefore, the company is willing to try further building Kwangya. For the better development of the company, it can pay more attention to whether the concept setting is in line with the group style. In addition, allocating every idol’s personal resources equally is also a way to help the group develop.
Tower Semiconductor Acquisition: Advancing Intel’s Presence in the Global Market
Authors: Chen Kangmin
Published: January 2024

This paper delves into the economic event surrounding Intel Corporation’s high-profile acquisition of Tower Corporation. It aims to investigate the reasons behind Intel’s decision to acquire Tower, employ the SWOT analysis method to evaluate the event, and examine its impact on relevant stakeholders. The findings indicate that Intel’s acquisition of Tower was driven by objectives such as strengthening business areas, expanding market share, technological innovation and development, and future development strategy. Through the application of SWOT analysis, it becomes evident that the advantages of the acquisition lie in strengthening technical capabilities and expanding business segments, while simultaneously facing challenges such as integration complexities and pressure. The significance of this paper lies in gaining a comprehensive understanding of the strategic motivations and potential impacts associated with corporate acquisitions, thereby providing valuable insights for decision-making processes. The innovation lies in the comprehensive utilization of SWOT analysis to holistically evaluate the acquisition event, enabling a thorough assessment of its various aspects. For government and policymakers, they should strength regulation of corporate takeovers to ensure fair and transparent market competition, provide support and incentives, and strength cooperation to develop common policies and norms. As for enterprises, it is advised that strategic planning and comprehensive consideration should be formulated and carried out when making acquisitions. Also, stakeholders should actively participate in and monitor the process of corporate acquisition discussion and decision-making, and strengthen cooperation to ensure fair competition, maximizing the interests of all parties.
Research on the Netflix Stock Price based on Linear regression Models
Authors: Xie Xiangming
Published: January 2024

This article uses a linear regression model to predict Netflix’s stock from 2018 to 2022, and divides the data set into pre- and post-epidemic analysis. The before-and-after analysis aims to explore the impact of COVID-19 on Netflix stock price. By collecting and collating Netflix’s historical stock price data, financial indicators, and other relevant information, a linear regression model was constructed. Through model training and verification, the prediction results of future stock prices are obtained, and a comparative analysis before and after the epidemic is carried out. The research results have important reference value for investors, analysts and decision makers in formulating investment strategies and risk management.
Research on the influence of IP co-branding on consumers’ purchase intention -- mediated by consumers’ perceived value
Authors: Huang Danmei
Published: January 2024

With the improvement of China’s living standards and the development of digital economy, consumers are not only pursuing simple material consumption, but also need to obtain psychological and spiritual needs of consumption. The marketing promotion model of co-branded cooperation between enterprises and IP has gradually developed and expanded while meeting the needs of consumers and has become a new way of win-win cooperation between enterprises. This paper aims to explore the connection between client buying intentions and their perception of the value of IP co-branded items. This paper collects sample data through network questionnaire survey and utilizes the statistical tool SPSS to verify and validate the info. The findings showcase that IP co-branded items boost client buying decision indirectly through how they view worth. Moreover, co-branded IP goods enhance client impressions of worth, which in turn boosts buyer intentions. Theoretically, this article presents the content of the research for elements changing consumer opinions regarding worth and plans to shop and provides reference value and enlightenment for enterprises in business cooperation.
How Does E-commerce Industry Benefit from Big Data
Authors: Zhu Suming
Published: January 2024

In this paper, the benefits of applying big data in the industry of online retailing, with a focus on logistics distribution and precision marketing. The findings indicate that big data plays a crucial role in revolutionizing logistics distribution, enabling e-commerce companies to optimize their inventory management, delivery routes, and customer demand forecasting. This results in cost savings, improved efficiency, and enhanced customer satisfaction. Moreover, big data empowers precision marketing by providing deep customer insights, enabling effective segmentation, supporting dynamic pricing strategies, facilitating continuous optimization, and helping to prevent fraud. The findings also highlight the successful implementation of big data in leading Chinese e-commerce platforms, further emphasizing its benefits. Given that this research mainly centres around logistics distribution and precision marketing, its limitations is crucial to be acknowledged, with potential biases derived from the literature revie. Future research should address these limitations by exploring other aspects of the e-commerce industry, employing primary data collection methods, and investigating ethical implications and emerging technologies. By doing so, consumers can advance the understanding of big data’s role in driving innovation, improving operational efficiency, and fostering sustainable growth in the e-commerce industry.
A Review of Research on the Influence of Organizational Culture on Employee Innovation Behavior
Authors: Luo Minxin , Cai Yuhang , Zhang Mengge
Published: January 2024

Organizational culture has always been a mainstream issue of research in the field of organizations, and its connotation has been gradually enriched, perfected and presented a trend of diversification. Innovation is perceived as a critical factor in helping enterprises to retain competitive advantages, while employee innovation behaviour is thought to be the basis for enterprises to innovate. Using the definitions proposed by Chinese and foreign scholars in the past decade for reference and from the perspective of social cognitive theory, this paper, in the form of an argumentative essay, mainly to elaborate the connotation of organizational culture as well as the concept of employee innovation behavior, and it studies on the impact mechanism of organizational culture on employees and defines the research concepts on the impact of employee innovation behavior. And therefore the paper introduces the state of related research in China and abroad by outlining and summarizing the existing research, and points out that an organization creating atmosphere of encouragement for innovation can stimulate the employee’s sense of self-efficacy and further make the individuals sense of self-reliance, sense of efficacy, which in turn leads to a sense of innovation among individual employees. This paper theoretically shows that organizational culture plays a rather positive part in guiding individual employee to display innovative behaviors, and by summarizing and reviewing the existing studies, it points out the future development prospect of this field, which will provide reference and help for the subsequent researchers to carry out their studies.
Application of Harvard Analytical Framework in the Game Industry: Take NetEase as an Example
Authors: Chi Wanlin
Published: January 2024

The Chinese game industry has been growing rapidly in the past decades and now has the biggest market share in the world. It is important to analyse the game industry in China, especially focus on a specific company. This paper applied the Harvard analytical framework to analyse NetEase, one of China’s biggest game companies. By conducting strategic analysis, financial analysis, and prospect analysis, this paper highlighted the advantages and disadvantages of NetEase. This paper provided a comprehensive understanding of the Chinese game industry. Through analysis under the Harward analytical framework this paper found four problems impeding the development of NetEase, which include reliance on single income source, loss in popularity, fewer benefits from scale economy and regulatory restrictions. Finally, to solve the problems this paper proposed several suggestions for NetEase aiming to help the company encounter the obstacles in its development as well as provide useful references for other companies in the industry.
Exploration of pathways for applied universities in the cultivation and management of digital talents
Authors: Jin Xinying
Published: January 2024

With the continuous development of digitalization in society, the gap of digital talents has also increased significantly. In recent years, China has achieved significant results in the cultivation of digital talent teams. However,at present, the overall number and quality of digital talents delivered by colleges and universities still have some gaps compared with the high standards of enterprises. There are problems in the talent training mode, such as lagging training system, insufficient innovation in teaching and assessment methods, and the need to strengthen teaching practice. Combining the practical needs of digital business environment for talents, this paper puts forward relevant suggestions for applied universities on how to cultivate digital talents under the big background of digitalization from the perspectives of concept updating, framework construction, diversified governance and so on, in order to accelerate the pace of reform and adjustment and meet the urgent needs of society and enterprises for digital talents in the development trend of the times.
Applying Large Language Models in Teaching Business English Writing: A Case Study of Business Proposal Writing
Authors: Tang Xiaofang , Yang Xianju
Published: January 2024

With the maturing of artificial intelligence technology, the human-machine collaborative teaching model is gradually attracting attention. Exploration of the path and effectiveness of integrating Large Language Models (LLMs) into business writing teaching is urgently needed. This study takes the use of ERNIE Bot in teaching business proposal writing as an example, collecting and analyzing qualitative and quantitative data, and discussing the methods, effects and challenges of applying LLMs in teaching business English writing in universities in China. The results show that students using ERNIE Bot as an auxiliary tool demonstrate higher participation and enthusiasm in the proposal writing process, and their writing texts have significantly improved in terms of structural clarity and language accuracy. However, it has also been found that ERNIE Bot tends to recommend conventional expressions and structures, which to a certain extent limit students’ personalized expressions. Therefore, the leading role of the instructor should not be neglected.
How can Chinese A-shared listed bank’s ESG activities affect their risk-taking?
Authors: Gao Wenhui
Published: January 2024

The sustainable development of society has gradually been the world’s attention at all levels. At the 75th session of the UN General Assembly, the Chinese government said it would aim to peak carbon dioxide emissions by 2030 and achieve carbon neutrality by 2060. All levels of government in China are also responding to the call, and how to promote green and sustainable development has become China’s top priority to achieve high-quality double reduction goals. As a banking-led prosperous economy, how to implement the Environmental, Social, and Corporate Governance (ESG) concept in the banking industry has become the most important to achieve the double reduction goal of quality and quantity in China. In recent years, the CBRC and the People’s Bank of China (PBC) have issued much guidance on transforming the banking industry through ESG. Considering that the number of A-share listed bank companies in China, especially the number of local banks (urban commercial banks and rural commercial banks), has increased in recent years, it is also considered that the existing research focuses on the relationship between ESG management and bank performance, and there is little analysis on bank risk. Based on the annual data of China’s A-share listed banks from 2018 to 2022, this paper uses regression analysis to explore the relationship between the implementation of ESG and bank risk-taking.
Bitcoin price prediction based on fear & greed index
Authors: Huang Qichuan
Published: January 2024

This study investigates the Fear & Greed Index, an indicator designed to reflect market sentiment regarding Bitcoin price, intending to utilize it as a predictive parameter for future price fluctuations. Due to the substantial volatility in Bitcoin prices and its significant influence on prediction outcomes, the dataset was preprocessed through monthly filtering and normalization. To forecast Bitcoin prices, an array of machine learning algorithms, including linear regression, random forest, and XGBoost, as well as their enhanced counterparts, were employed. The optimal model was identified by comparing the Grid Search XGBoost analysis results. This research holds implications for accurately predicting Bitcoin prices and underscores the impact of market sentiment on its valuation.
Financial statements analysis on Pfizer
Authors: Wang Yutian
Published: January 2024

Financial reporting is a snapshot of the business activities and financial status of companies and is widely used for various purposes by different stakeholders, including insiders and outsiders of the company. The quality and relevance of the financial reporting made by the company’s managers with mixed incentives largely influenced investment decision-making, resulting in information asymmetry in the capital market. The financial statement analysis (FSA) plays an important part to mitigate the information gap and assists investors in making unbiased investment decisions, which consists of four parts: business strategy analysis, accounting analysis, financial analysis and prospective analysis. This paper analyses inside information from Pfizer Inc. using FSA based on the financial reporting from the financial year of 2019 to 2022 (FY2019 to FY2022) in conjunction with other supplement materials. This paper finds Pfizer primarily takes the product differentiation strategy as its key profit driver, and the related accounting policies and estimations generally reflect the economic reality. The short-term liquidity of Pfizer should be enhanced, and the firm’s market value is overvalued compared to its intrinsic value on December 20, 2022.
Unveiling the Future: Forecasting the US Debt Ceiling and Financial Market Trends
Authors: Chen Linghao , Song Yuxuan , Wang Jiayi
Published: January 2024

The US debt limit has important implications for economic and financial stability. By analyzing historical data, this article finds that there is a significant correlation between the debt limit and the US financial market. The article also constructs an exponential smoothing mathematical model to successfully predict the debt limit in the future and test the accuracy of the model using historical data. The results show that the debt limit has a significant positive linear correlation with the S&P 500 Index and the Spot Gold Price Index. Although there is no linear correlation between the debt limit and the dollar index, this paper finds a hidden pattern by comparing the data of the Democratic and Republican administrations. Based on the results of the projections of the debt limit for the next five years and the correlation with the three major indices, the article makes a reasonable prediction of the future trend of the US financial market and provide insights. These results suggest that the situation in the United States may be more optimistic than expected.
Research on Abnormal Volatility in The Japanese Government Bond Futures Markets– Policy based on yield curve control
Authors: Zhu Xiao
Published: January 2024

Historically, central banks in the United States, the United Kingdom, Australia and Japan have implemented Yield Curve Control (hereinafter referred to as YCC), and Japan is currently the only country in the world that is still pushing ahead with YCC. However, given that the implementation and implementation of the YCC showed more defects than profits, on June 15, 2022, there was an unusual fluctuation in the Japanese government bond futures market, Japan’s 10-year government bond future contracts fell by 2.01 yen, touching the melting point in the plate, the largest single-day drop in 2013. This article introduces the basic framework of the yield rate curve and its way of buying bonds, then elaborates on the operation of the Central Bank of Japan to buy bonds in 2022, analyses the abnormal fluctuations in the Japanese government bond futures market in 2022 and identifies the contradictions and limitations of the government bond market as the root cause of the fluctuation.
Research on the Model and Method of Site Selection for Power Grid Material Distribution Center
Authors: Zheng Yuhan , Wang Shanshan
Published: January 2024

This paper conducts an analysis of the site selection methods for power grid material distribution centers. It proposes the fundamental principles for site selection and organizes and compares representative models and commonly used methods in site selection issues. Taking the establishment and solving process of the site selection model for power grid material distribution centers as an example, the specific methods and procedures of Sparrow Search Algorithm applied to site selection problems are explained, and analyzes the shortcomings of this method. Finally, building upon the comparison and summary of simulated annealing algorithm and Sparrow Search Algorithm in the preceding sections, this paper combines their strengths to propose an approach for optimizing the solution method that is, using the former to update the iterative optimal solution of the latter, in order to reduce the risk of falling into local optimization, enhance the accuracy of problem-solving, and improve distribution efficiency. This contributes as a reference for similar site planning and decision-making processes.
Study on China’s Position on Its Strategic Location, Planning, and Future Outline
Authors: Ai Zerun
Published: January 2024

This comprehensive analysis highlights the potential of China, the world’s largest energy producer. The research paper provides direction to China in the energy sector. Although currently relying on coal for power generation, in the long term, the country will become the largest exporter of electricity. The transition to sustainable energy production is critical, considering global commitments to reduce greenhouse gas emissions under the Paris Agreement. China’s ability to shift to clean energy is strengthened by its vast labor force, financial strength, and the Chinese government’s commitment to national rejuvenation. By establishing an “Electro-Yuan” system for trading electricity, China could challenge the global dominance of the US dollar. The One Belt, One Road (OBOR) initiative further facilitates a clean electricity trade network with strategic partners worldwide. However, a successful transition hinges on shifting from coal to renewable energy sources, enhancing existing grid infrastructure for cross-border transmission, and effectively implementing the Electro-Yuan system.
An Overview of Emergency Logistics Routing and Location: Models and Future Research Directions
Authors: Geng Jiasheng
Published: January 2024

Emergency logistics refers to the transportation, storage, and distribution of materials to ensure the safety of people’s lives and property and social stability in an emergency or disaster. Since the outbreak of COVID-19, the state and society have paid more attention to constructing emergency logistics systems. In recent years, the research on route optimization and location selection of emergency logistics has also increased. The study of emergency logistics location and routing is significant for improving emergency logistics efficiency, optimizing resource allocation, improving emergency response capabilities, and reducing emergency risks. It can provide scientific decision-making support for emergency management departments and logistics enterprises, promote social emergency management level improvement, and ensure the safety of people’s lives and property. This article studies relevant literature on domestic and international emergency logistics routing and location issues in recent years, summarizes the main models and related algorithms to solve this problem, analyzes the current research status in recent years, and looks forward to future research directions.
Cost Efficiency and Profitability through Intelligent Warehouse: Case Study of Unmanned Warehouse “Asia One” in JD Logistics
Authors: Chen Guifan
Published: January 2024

With the general environment of consumer purchasing power and the popularity of flexible supply chains, many warehousing companies have been based on their own needs for intelligent warehouse transformation, some warehouses for a comprehensive unmanned transformation, while some through the human-machine collaboration to control storage costs. But most of these warehouses to achieve transformation are only used to store one or a class of goods, such as the medicine and equipment industry. Able to carry out a large number and multiple items stored at the same time, intelligent warehouse construction is not popular enough, this paper will be the existing large-scale intelligent warehouse working principle, efficiency results and profit costs, and other aspects of the analysis to explore the large-scale warehouse intelligent transformation can bring specific benefits to the enterprise. The representatives of large, intelligent warehouses Amazon and Jingdong’s large and unmanned warehouses have a strong benchmark. In this paper, we select Jingdong’s large, unmanned warehouse, “Asia No. 1” and explain the working process and the role of hardware and software systems to find out what advantages the operation of these machines can bring to enterprises, what the competitiveness of intelligent equipment compared with manual labor, and how to help enterprises increase benefits and reduce costs.
Analysis of supply chain finance development model for SF Holdings: Comprehensive study for SMEs’ financial accessibility
Authors: Liu Fengyuan , Wei Yupeng , Zhang Shiyue
Published: January 2024

The supply of funds is a very important part of their development. Due to the problems of small and medium-sized enterprises with insufficient credit in banks and fewer mortgageable assets, it is challenging to obtain funds from banks for development and operation. Supply chain finance can help it solve these problems. Supply chain finance focuses on core enterprises, manages the capital flow, logistics and information flow of upstream and downstream small and medium-sized enterprises, and transforms the uncontrollable risks of a single enterprise into the controllable risks of the supply chain enterprise. The risk is controlled in the lowest financial service through three-dimensional access to various information. As the leader of China’s logistics enterprises, SF Holdings has a mature supply chain management system and big data analytics capabilities and has more enterprise information, which can provide related financial services for small and medium-sized enterprises. This paper will study the supply chain finance model of SF Express Holdings, analyze its development and existing problems, put forward corresponding suggestions, and make predictions for its future development and the development of supply chain finance.
Assessing the economic effects of Hainan’s free trade port policy using the HCW method
Authors: Yu Haochuan
Published: January 2024

Hainan’s Free Trade Port (FTP) policy is a major initiative to promote the opening up and development of China’s southernmost province. The policy aims to create a world-class business environment and a high-level market system by 2035. However, the economic effects of this policy are not well understood. This paper applies the HCW method, a panel data approach for program evaluation, to assess the impact of Hainan’s FTP policy on four key indicators: trade, investment, talent and tax burden. The paper constructs optimal control groups for each indicator using the HCW and compares the actual outcomes of Hainan with the counterfactual outcomes that would have occurred in the absence of the policy intervention. The paper finds that Hainan’s FTP policy has increased its foreign trade and foreign direct investment significantly, but has not achieved noticeable improvements in attracting high-quality talent. The paper also conducts placebo tests to check the robustness and significance of the results and discusses some policy implications and future research directions based on the findings.