bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Aggregate Quality at the Batching Plant in Gorontalo as Raw Material for Ready-Mix Concrete
Authors: Kadarningsih Rahmani
Published: January 2024

The high demand and low supply of local aggregates have caused the increase in the number of ready-mix concrete providers. Studies show that the properties of the aggregate used in raw materials affect the quality of ready-mix concrete, apart from other factors, such as the accuracy of the implementation and the mix design methods. The results of the coarse aggregate gradation test indicated that there were gaps, especially in the Bonda Raya material. The test results showed that the concrete using SNI 7656:2012 method produced a higher compressive strength compared to SNI 03-2834-2000 method for both Pancuran and Bonda Raya quarry materials at 15 MPa of strength target. The compressive strength of concrete using the SNI 7656:2012 mix design for strength target of 15 MPa and 30 MPa for both Pancuran and Bonda Raya materials produced the same proportion of the mixture. The compressive strength of concrete using SNI 7656:2012 mix design at 30 MPa of strength target did not achieve the expected strength target. In terms of aggregate quality, the Pancuran and Bonda Raya materials shared nearly similar qualities. The aggregate specific gravity made the mix design of the Bonda Raya material produced a greater amount of aggregate when using the SNI 03-2834-2000 method and had an effect on compressive strength.
2D Hydrodinamic Modelling of Flood Inundation Scenarios of Krueng Peuto River at North Aceh Regency of Aceh Province
Authors: Keumalasari Maya , Meilianda Ella , Azmeri Azmeri , Alfian Dedy , Ziana Ziana
Published: January 2024

Krueng Peuto sub-watershed, is a part of the Krueng Keureuto watershed in North Aceh that frequently experiences flooding. At the end of 2021, an embankment broke on the Peuto River and caused river overflow and submerged hundreds of houses in 33 villages around the sub-watershed. This study aims to analyze the critical circumstance of the Krueng Peuto sub-watershed which potentially lead to Peuto River overflow, using a 2D hydrodynamic model Geo-HECRAS. The validation of flood distribution points is based on historical floods conditions, i.e. depth and area of flood inundation, with modeling results for return periods scenarios of 2, 5, 10, 25, 50, and 100 years. From the modelling results, the flood inundation area at the 25-year return period was 25.514 km2, with a flood depth of 0-1 m covering an area of 8.35 km2 (32.73%), a depth of 1-2 m covering an area of 6.71 km2 (26.33%), and a depth of >2 m covering an area of 10.44 km2 (40.95%). The validation results of the 25-year return period flood inundation with flood distribution points show that in the flood inundation area there are 17 flood distribution points or the flood inundation area already represents 81% of flood distribution points.
Assessing the feasibility of nighttime water harvesting from solar photovoltaic panels in a desert region
Authors: John Jim Joseph , Najeeb Nithin Sha , Apostoleris Harry , Chapaneri Kaushal , Mathiak Gerhard , Alam Muhammad
Published: January 2024

Photovoltaics has emerged as a crucial and progressively significant contributor to renewable energy generation. Nevertheless, its effectiveness is limited to daylight hours when sunlight is available. This research paper presents an approach to promote dual usage of solar panels beyond daytime operations to facilitate water production. An AWGPV (Atmospheric water generation on PV modules) system is built and operated for nearly a year. During this period, several prototypes were built to produce up to 2.5 L/panel per day without optimizing the energy consumed during direct cooling. A techno-economic assessment was done for the prototype AWGPV system. The prototype system consisting of 3 AWGPV panels connected to the grid was able to produce water at 33 USD cents per liter in Dubai, UAE. If the electricity for direct cooling is reduced, the cost of water can be reduced further. The results point to new avenues to explore methods for reducing the electricity consumption for cooling for achieving further cost reduction. A parameter n-MHI (night Moisture harvesting index) is introduced to evaluate the feasibility and energy demands of harvesting atmospheric moisture through direct cooling. Through a climate-based analysis of various locations, the global potential of this process is explored. The collected water can be used for dust cleaning of solar panels, agrophotovoltaic systems, and other applications where water and electricity generation needs to be decentralized.
Research on the prediction of bike sharing system’s demand based on linear regression model
Authors: Xu Zijie
Published: January 2024

This research developed a model of linear regression for forecasting the demand for shared bikes in a bike sharing system. By analyzing a dataset sourced from Kaggle, the study focuses on identifying the factors that have the most impact on bike demand and building a model based on these factors. The methodology involves data cleaning, creating dummy variables for categorical variables, and conducting exploratory data analysis. The features are rescaled, and the model building process includes recursive feature elimination and analysis of VIF and p-values. The outcome indicated that linear regression model accurately predicts bike demand based on various factors. This model can assist employers in adapting their business strategies, understanding customer expectations, and effectively managing bike-sharing systems. The findings contribute to the optimization and success of sustainable urban transportation, emphasizing the potential of bike sharing as an eco-friendly transportation option.
Research on the Export Strategy of Chinese Films from Marvel Films
Authors: Xi Zhihui
Published: January 2024

Under the trend of globalization, cross-cultural communication has become a necessary condition for the export of national cultural soft power. Marvel movies have a wide fan base worldwide and are very well-developed in the film industry. Although Chinese films have made great progress in recent years, the domestic film market is also extremely active, and a few Chinese films have won large awards at international film festivals, but the influence on the world is minimal. Therefore, this article will use the case analysis method to analyze in detail the successful cases of Marvel movies exported in cross-cultural contexts from three aspects: film production, film content, and marketing promotion, and derive the reasons and methods for their success, hoping to help Chinese films better go to the world and help Chinese culture break cultural barriers and better go to the world.
Analysis of the Risks and Synergies Arising from Corporate Mergers and Acquisitions: Sed on the Case of Greely’s Acquisition of Volvo
Authors: Ma Yechi
Published: January 2024

Based on the case of Geely’s acquisition of Volvo in 2010, this paper analyzes the reasons for its M&A by applying the SWOT model and analyzes the risks arising from the financial and integration aspects of the company at the time of the M&A, as well as the synergistic effects arising after the M&A, to explore the timing and manner based on which is the most favorable for the corporate M&A. Geely’s acquisition of Volvo is a case of an acquisition of a leading Chinese and European company in a critical industry. By fully exploring and analyzing the impact of various factors on the M&A process, including those involving capital, technology, personnel, culture, etc., as well as the post-acquisition operation and management model, we analyze how to improve corporate competitiveness after the M&A, taking into account the international market environment and industrial logic, and for company leaders in For whether corporate M&A should be carried out, they should understand the strategic positioning and objectives of the company and select objects with strategic significance for M&A. Establish a clear integration plan and objectives, and carefully implement the integration plan after the M&A to ensure the effectiveness of the integration and the implementation effect. Focus on M&A cultural integration, establish a shared corporate culture, and promote collaboration and cooperation among M&A companies to enhance overall value.
The Impact of Interpersonal Relationships on Micro-influencer Marketing
Authors: Liu Zhenyi
Published: January 2024

The widespread use of mobile internet and social media has driven the creation and development of the micro-marketing model. Micro-influencers utilize marketing techniques that have a small and highly targeted reach, which in turn affects the psychology and perception of the target population. In the process of micromarketing, a very important influencing factor is interpersonal relationships. Therefore, this paper takes interpersonal relationships as an entry point, analyzes several aspects of interpersonal relationships participation in micro-marketing, the current situation of interpersonal relationships among micro-influencers, and the influence of interpersonal relationships on marketing strategy, which is of great significance in exploring the influence of interpersonal relationships on micro-marketing from the perspective of social influence. The author analyzes some micro-marketing strategies on the Chinese social platform Red Booklet. The empirical study shows that the more interaction between micro-influencers and the target population, the stronger the influence on the target population; compared with unilateral promotion by celebrities, micro-influencers have a stronger influence on the target population.
Analysing the importance of social media on European museums
Authors: Shi Jia
Published: January 2024

Facebook and other social media platforms enable European museums to broaden their reach, engage visitors, promote collections and events, cooperate with industry professionals, and contribute to cultural heritage protection and promotion. This study analysed data from Facebook, Twitter, Instagram, and YouTube and found that Facebook played a significant role in increasing visitor numbers to European museums during and after the pandemic. This research explored how Facebook has positively impacted European museums by enhancing their visibility, accessibility, and engagement. During the pandemic period, museums utilized Facebook for virtual tours, online exhibitions, and interactive content to maintain connections with audiences. This digital shift enabled museums to reach wider and more diverse audiences while fostering community involvement and cultural enrichment. Furthermore, Facebook’s targeted advertising capabilities effectively promoted museum initiatives to interested individuals. In the decades since the epidemic, Facebook has continued to be an important tool for increasing outreach. This has been accomplished through live streaming events, educational programs, and user-generated material, all of which have helped to promote meaningful relationships with the general population.
Exploring the factors that affect employee performance
Authors: Chen Xinyue
Published: January 2024

Enterprise innovation and development are inseparable from the gathering of talents, for the long-term development of enterprises, the stability of employees is particularly important, and employee performance directly affects the vital interests of employees. Correct understanding and scientific understanding of the factors affecting employee performance plays a decisive role in improving employee performance and ensuring the realization of corporate goals. This article explores the internal and external factors that affect employee performance by reviewing previous literature. This article found that the personal competence of employees, their emotional commitment, basic compensation and benefits, organization management, organizational commitment, and work design are the main influencing factors. Therefore, it is recommended that enterprises focus on cultivating employees’ work abilities and improve their performance through reasonable management, rewards, and work design.
A study of the value of the natural environment and its sources based on a material value theory perspective
Authors: Hong Niande , He Ying
Published: January 2024

In various academic disciplines and contexts, the value attributed to the natural environment encompasses two primary dimensions: the economic significance, which pertains to the economic value of the natural environment, and the philosophical dimension, which refers to the intrinsic (or subjective) value of the natural environment. This paper, after scrutinizing prevalent perspectives within the academic community regarding the value of the natural environment and its origins, asserts that the labor theory of value inadequately and inaccurately captures the essence of the natural environment’s value. Consequently, the paper suggests employing the “material theory of value” as a more apt framework to elucidate the origins of the natural environment’s value. The “material value theory” centers on the reciprocal relationship between humans and nature, with the objective of fostering an equitable exchange wherein human responsibilities and obligations toward the natural environment are traded for the “value” it provides. This approach aims to establish a harmonious and balanced exchange between humanity and the natural environment.
Research on prediction of bitcoin price based on machine learning methods
Authors: Zhao Chenglin
Published: January 2024

Bitcoin, a decentralized digital currency, has gained widespread acceptance and recognition in recent years. The prediction of Bitcoin prices is a challenging task due to its relatively young age and high volatility. Therefore, this study explores the accuracy of price prediction for Bitcoin using machine learning models and makes comparsion on the outcome of different models, Linear Regression, Long Short-Term Memory, and Recurrent Neural Network. This study utilizes the closing price of Bitcoin in USD from a Kaggle dataset as the independent variable. The study also adopts Mean Absolute Error (MAE) as the measurement indicators, and comparative performance analysis is conducted under various circumstances. The experimental results demonstrate that LR performs poorly in Bitcoin price prediction, while LSTM and RNN outperform LR. Further analysis reveals that LSTM performs better during price apexes, while RNN performs better during price recessions. Graphical representations illustrate the strengths and weaknesses of each model under different market scenarios. Through comparison, the article provides an insight for other researchers to choose corresponding machine learning models under different circumstances to predict bitcoin price.
The Impact of the Fed’s Monetary Policy in 2022 on China’s Stock Market: Evidence from SSEC and SZSE
Authors: Zhang Yingran
Published: January 2024

International financial markets have been abuzz with worry over the Fed’s interest rate rise strategy. The Fed’s interest rate raises policy’s implementation will have wide-ranging effects, particularly for an emerging market nation like China. The influence of the Fed’s interest rate hike policy on the Chinese market will be examined in this essay in several different ways, including stock market yields, volatility, economic growth, and market expectations. The results of this study imply that the Chinese stock market has been negatively affected over the long term by the Fed’s interest rate hike. In particular, the returns of the Shanghai Securities Composite Index and Shenzhen Securities Composite Index were significantly negatively impacted by the Fed’s rate hike, with the SZSE index being more adversely impacted. Additionally, this study discovered that the Fed’s interest rate hike had no effect on the SZSE Index’s market volatility throughout the study period but had a considerable impact on the market volatility of the SSEC Index. This implies that a Fed rate hike may result in greater SSEC Index market volatility while having a negligible effect on SSEC Index market volatility. In order to stabilize market mood and reduce risks, the government and authorities should closely monitor any potential effects of the Fed’s interest rate hike on the Chinese stock market. To adjust to the evolving global financial climate, investors should carefully evaluate market risks and develop prudent investment strategies.
Analysis of the effectiveness of multi-factor stock selection model under COVID-19
Authors: Xu Ke
Published: January 2024

Contemporarily, quantitative finance and multi-factor stock selection have begun to develop in China. Meanwhile, the new coronavirus from 2020 has brought a huge impact on the market, so it is very important to explore the effectiveness of multi-factor stock selection model during the period. In this study, stocks in the medical industry are selected as the research object, and price-earnings ratio, total market value and market sales ratio are selected as the research indicators. In this study, RiceQuant quantitative trading platform was used to conduct backtesting during the epidemic period, and the effectiveness of stock selection indicators during the epidemic period was analysed through data results. The results showed that under the epidemic situation, changing the P/E ratio, total market value and price-to-sales ratio had an impact on the earnings of stock selection portfolio, which proved that the P/E ratio, total market value and price-to-sales ratio were all effective indicators. These results prove the effectiveness of multi-factor stock selection model under the COVID-19, and list the effective stock selection factors under the epidemic situation. It can provide an in-depth understanding of the impact of the epidemic on the market and enrich the study of multi-factor stock selection model.
From the delisting case of P&G to its strategic adjustments and financial status in recent years
Authors: Wang Yihong
Published: January 2024

As a giant in the FMCG industry, P&’s every move has influenced the choice of consumers and the trend of the industry. In order to maintain their profitability and competitive position, they attach great importance to strategic management. They had their best moments. In 2008, P&G became one of the world’s top 20 companies with net profits of $12 billion. Big acquisitions had allowed them to grow rapidly and continuously. However, in 2013, they began to decline. Declining sales have forced P&G to make strategic changes. In 2019, a piece of news about Procter & Gamble’s delisting from Euronext Paris swept the Internet. In order to explore how large enterprises make the right strategic choice in the face of crisis and analyze the outcomings, this paper will start with the delisting case of Procter & Gamble, analyze its strategic environment, strategic adjustments and financial results in recent years, and finally form conclusions and some suggestions.
Tesla’s revenue forecast base on business model and financial statement analysis
Authors: Fang Chenhao
Published: January 2024

With the rapid development of the electric vehicle industry, Tesla, as the benchmark of this industry, has been studied by many companies in the same industry and investors outside the industry. Based on Tesla’s financial reports in recent years and news about Tesla, Tesla’s assets, liabilities, and owner’s equity are analyzed to analyze Tesla’s basic financial situation, from this, it can be concluded that Tesla’s asset-liability ratio and other financial trends have changed in recent years. Then analyze Tesla’s business model from the aspects of corporate positioning, business type, and profit model, so, in recent years, Tesla’s main profit models, income sources, and the changing trend of income sources can be obtained from the above analysis. Finally, the two aspects are integrated, we can predict Tesla’s future revenue with more certainty. After the analysis obtained: Number of vehicle sales are expected to reach 1.8 million units in 23 years, approximately +35% y/y.
Analysis of stock selection strategy of multi-factorial model based on rotation factor and investor sentiment
Authors: Chen Yiman
Published: January 2024

With the wide application of advanced technologies including AI which with high precision and automation level, financial technology has shown a progressive trend, and quantitative trading strategies have bright prospect. Based on China’s A-share market, this study constructs a quantitative strategy for stock selection by combining the industry rotation effect with a multi-factor model considering investor sentiment. Firstly, the strategy screens the target industries according to the rotation factor calculated by PER, and then determine the stocks by the multi-factor model formed by the factors after effective test. In this study, the effectiveness of the strategy is verified through six constructed back-test portfolios from both sides. According to the analysis, the return of the strategy considering the rotation effect and investor sentiment is higher than the market. The comparison of the impact of the rotation factor and the emotional factor shows that the change of macro and middle environment has a greater impact on stock prices than the micro level. Up to now, there are few stock selection strategies considering both rotation effect and investor sentiment. These results attempt to supplement this aspect and enrich the field of asset pricing.
Quality control of agricultural product supply chain: A case study of Mengniu supply chain
Authors: Zhang Hanzhi
Published: January 2024

With the increasingly serious food safety problem and more and more attention from all walks of life today, the safety of agricultural products as the source of food raw materials should also receive more attention. Therefore, focusing on quality control in the agricultural supply chain is important in this context. This paper explores the progress of research on quality control of agricultural products supply chain from different directions: including product quality traceability system, a combination of quality supervision and new technology, and risk factor analytical methods based on mathematical algorithms; then, there is an analysis based on the specific case of Mengniu’s product supply chain. These studies and case analyses jointly demonstrate the importance of building a complete quality management system for agricultural supply chains and improving industry-related standards. Meanwhile, supply chain quality and safety management must keep pace with the times.
To what extent did US-China trade war affect the global economy
Authors: Su Qi
Published: January 2024

This research paper discusses the impacts on the global economy and international market affected by the US and China trade war, which started in 2018-19. Led by the previous president of the US, Donald Trump, succeeded by the current president Joe Biden, trade protectionism was brought out to restrict Chinese exports to the US. Due to political, social, economic, and many other factors, both US and China ended up imposing additional tariffs on each other’s imports and setting up more and more restrictions on the international market. These imposed trade barriers between the two major economies in the world significantly influenced the two countries themselves, other bystander economies, and the international market balance. The paper discusses and reveals how the economic conflict affects US and China, both consequences and benefits, and how some countries found opportunities from this conflict, and some resulted in losses. Suggestions for possible solutions which each government can take are also being explained.
Research on the Influence of Operator Fatigue Factors on Port Service Capability Based on Discrete System Simulation
Authors: Xie Danlan , Wang Xiuli , Yin Chao
Published: January 2024

With the continuous and stable development of the global economy, ports play a vital role as cargo transhipment hubs. Among them, the human factor of the operators in the port plays a decisive role in the port service ability. In order to explore the specific effects of different fatigue states of the quay bridge, yard bridge, and internal truck operators in the traditional container terminal on the port’s service capacity, seven test schemes are proposed, and computer simulation methods are used to build a simulation model of the terminal. Through a large number of simulation tests, it is concluded that the fatigue of different equipment operators has different effects on the operation efficiency of the terminal. If the three operators are fatigued at the same time, the operation efficiency of the terminal will be reduced by 17.27%, which will have a very negative impact on the overall operation of the terminal. Therefore, optimizing the scheduling of operators and avoiding fatigue operations will improve the port’s service capacity.
Application of Structured Light 3D Reconstruction Technology in Industrial Automation Scenarios in the Context of Digital Transformation
Authors: Wang Lihong , Cai Jun , Zhang Yanan , Chen Dong , Ge Lv , Zhang Yu
Published: January 2024

In this work, a dynamic structured light 3D reconstruction method adapted to random phase shift step size is proposed for the problem of dynamic workpiece 3D reconstruction in industrial manufacturing scenes. The method firstly utilizes a structured light sinusoidal grating pattern to match the relative phase shift of the workpieces moving along the perpendicular direction of the stripes on the conveyor belt. Secondly, in order to solve the problem of non-uniform phase shift step length due to external vibration, electromagnetic radiation and other disturbing factors of the conveyor belt and other mechanical devices, the method proposes a dynamic structured light 3D reconstruction model based on RPSNet, which is based on the CycleGAN network model, and uses the AIR2U-net model proposed in this paper as the generator, and the multilayer convolutional neural network CNN as the discriminator to realize the grating map. discriminator to realize the conversion of raster map to depth map. Finally, for the problem that the network model needs a large amount of data for training and it is difficult to collect data in the actual industrial scene, this paper uses the Thing10k dataset, and the dataset made by Blender simulation software for model training. Finally, a higher quality 3D reconstruction of the workpiece is realized.
Network and International WeChat Agent Purchasing Business
Authors: Li Xiao , Xiao Luqi
Published: January 2024

With the development of globalization and the Internet, a new type of e-commerce, namely international WeChat agent Purchase (also known as “Daigou”), has achieved success. This is a kind of business that WeChat merchants represent their customers for overseas shopping. These sole proprietorships include a large number of international students, tourists, and long-term Chinese expatriates. They combine the networks of their purveyors and customers to sell foreign products on WeChat, the most popular national communication application and use the price difference between these products in China and other countries as a profit opportunity. In this case, the customer and the purchasing agents had become interconnected nodes and form a unique commercial operation mode, which is not only building a commercial network and constructing based on a kind of social network. Through this approach, the purchase agent established their own business and commercial system. This article will analyze the operation mode of its business and the method of purchase agents building their customer network, the profitability of companies in this business network, and the role of network in the profit-making.
The Influence of social network models on e-commerce: A comparison between Wechat and Bilibili
Authors: He Siyi
Published: January 2024

E-commerce are popular these days. While different social media may adopt different social network models, it actually made rules for how people are interacted with one-another on these platforms, and influences how people receive different messages about products. And different ways marketers engage with customers on social platforms influence the e-commerce situation or value of trade on platforms. This essay aims to evaluate the influence of social network models on e-commerce by making a comparison between WeChat and Bilibili, which are two famous social media in China. This essay will first explain some social network frames, and then will examine the operating mechanism of WeChat and Bilibili and how they are related to value of trade on these platforms. It is shown clearly that different ecommerce social networks lead to different results in ecommerce income. Wechat focus on 1 to 1 social mode and building ecommerce on the relationship between merchants and customers while Bilibili focus on building communities which eventually leads to community economy. This research result may help platform builders and merchants to choose their own strategies in ecommerce.
Sustainable Supply Chain Development and Risk Management: Case Study of Huawei’s Strategies During the Epidemic
Authors: Huang Yuchi , Pan Hansong
Published: January 2024

This study examines the general trend of sustainable development for modern businesses, focusing on the four development strategies adopted by Huawei during the epidemic: digital inclusion, security and trustworthiness, greenness, and harmonious ecology. This study explores the risk to corporate sustainability and how supply chain risks can be effectively managed. Through a case study of Huawei’s three-year sustainability report and related data, it offers practical advice that will be valuable to other companies. The study calls on companies to develop sustainable supply chains while paying attention to social responsibility, incorporating environmental protection concepts, actively adopting digital communication technologies to cope with unknown risks, and enhancing their image to achieve long-term stable development. In the face of increasing global carbon emissions and sustainable development challenges, enterprises should strengthen their risk response capabilities, comprehensively consider the impacts of their supply chains, and practice the concept of sustainable development.
Student Participation in University Governance Paths in the Value Co-creation Perspective
Authors: Lu Jihai , Zhang Die
Published: January 2024

Student participation in university governance processes exemplifies the core principles of value co-creation. Student participation in university governance processes exemplifies the core principles of value co-creation. Universities offer participation platforms and resource support, while students leverage their own resources. Through their interactions, both parties reach a consensus, fully realizing the functional, developmental, and societal values associated with student participation. The value co-creation process enhances university governance efficiency, emphasizes student agency, and fosters a more harmonious relationship between the institution and the students. Examining student participation in university governance from the perspective of value co-creation reveals its significant potential.
A Study of Older Adults’ Satisfaction with Chat Assistant
Authors: Xu Jiaming , Wang Yuting
Published: January 2024

With the rapid development of artificial intelligence technology, intelligent question and answer systems such as Chat Assistant are increasingly used in daily life. However, as a special category of user group, the cognitive fitness and satisfaction assessment of elderly people to such intelligent systems have not been sufficiently studied yet. The purpose of this study is to explore the cognitive fitness and satisfaction of older adults with Chat Assistant Q&A results, in order to provide a basis for improving the design of these systems and enhancing the user experience of older adults. To this end, this paper provides an in-depth study of older adults’ use of technology by designing and distributing a questionnaire. Analytical methods such as the ACSI indicator model and Structural Equation Modeling (SEM) were used to explore the relationship between satisfaction and various factors, thereby providing valuable guidance to help improve and optimize the Chat Assistant system.
Application Research of Digital Educational Resources in University Classroom Teaching
Authors: Wu Ying , Wu Yangjie
Published: January 2024

Digital educational resources serve as vital vehicles for the realization of educational digitization. The application of digital educational resources holds significant practical significance as it can enhance the quality and efficiency of education, improve teaching standards, and foster students’ proactive learning in the context of creating efficient classrooms. This paper employs a questionnaire survey approach to gain insights from the perspective of university students into the application of digital educational resources in university classroom teaching. Specifically, it delves into the current state of digital educational resource utilization, students’ usage preferences, diverse learning requirements, efficacy, satisfaction, and an analysis of issues encountered during their application. The aim is to offer fresh insights and decision-making references to boost the effective utilization of digital educational resources, promote student-driven learning, optimize the teaching process, and enhance teaching quality.
The Construction of Teacher’s Teaching Quality Evaluation System Based on the Teacher-Student Cooperation Model
Authors: He Xiaofei , Wang Yuning
Published: January 2024

Within the framework of advancing educational evaluation reform in the modern era, establishing a scientific and rational assessment system for the quality of teacher’s instruction holds immense importance. This contributes to the further development of autonomous evaluations within colleges and universities, fosters enhancements in higher education evaluation systems, and supports the modernization of higher education governance. Considering the evolving demands for cultivating excellence in higher education, the assessment of teachers’ instructional quality continues to face challenges, encompassing evaluation criteria, categorization guidelines, system enhancements, digital adaptation, and more. In the construction of a quality assessment system for teacher’s instruction in higher education, continuous optimization of the evaluation system for teaching quality is essential. This optimization should be driven by scientific principles, grounded in collaboration between teachers and students, and aligned with fundamental principles, including categorized assessment, process orientation, digital integration, and more.
Clinical, Anatomical, and Densitometric Changes following Dresden vs.
Accelerated Corneal Cross-Linking in Progressive Keratoconus
Authors: Prinz Julia , Kuerten David , Schellhase Hannah , Koutsonas Antonis , Djalali-Talab Yassin , Walter Peter , Fuest Matthias
Published: January 2024

Background To compare clinical, anatomical, and densitometric changes following
Dresden (DCXL) vs. accelerated (ACXL) corneal UVA cross-linking (CXL; Avedro KXL, Geuder,
Heidelberg, Germany) in progressive keratoconus (KC).

Methods and Material In this retrospective study, we analyzed 20 patients
following DCXL (3 mW/cm², 30 min, 5.4 J/cm²) and 44 patients following ACXL (9 mW/cm²,
10 min, 5.4 J/cm²) between January 2016 and February 2020. Uncorrected visual acuity
(UCVA), best spectacle-corrected visual acuity (BSCVA), central corneal thickness (CCT),
steepest keratometry (Kmax), keratoconus index (KI), thinnest pachymetry
(Pthin), and corneal densitometry (CD) were measured before and 3, 6, 12, and 24 months
after CXL.

Results During the follow-up period, no changes in UCVA, BSCVA, Kmax,
KI, or Pthin occurred. CCT significantly decreased 3 months after DCXL (p = 0.032) and
ACXL (p = 0.006). At the 12- and 24-month follow-up, CCT remained decreased in the DCXL
(p = 0.035, 0.036, respectively) but not in the ACXL group. At the 12-month follow-up, the
reduction in CCT was significantly greater in DCXL compared to ACXL (p = 0.012). At the
3-, 6-, 12-, and 24-month follow-ups, we found a significant increase in the anterior
stroma CD following DCXL (p = 0.019, 0.026, 0.049, 0.047, respectively) but not ACXL. The
CD changes were localized in the central concentric zones (0.0 to 6.0 mm). No intra- or
postoperative complications occurred.

Conclusion ACXL and DCXL effectively halted KC progression. ACXL proved to be a
safe time-saving alternative to conventional DCXL. DCXL led to a reduction in CCT and an
increment in the CD of the central anterior stroma during 24 months of follow-up.
Entwicklung der körperlichen Leistungsfähigkeit und
ausgewählter kardiovaskulärer Risikofaktoren im Rahmen der
Langzeitrehabilitation von Soldaten mit posttraumatischer
Belastungsstörung
Authors: Korte Roman , Schmitz Jennifer , Schulze Christoph , Schaffranek-Mondroch Antje , Gerß Joachim , Dierich Andreas , Lison Andreas
Published: January 2024

Hintergrund Im Zusammenhang mit psychischen Erkrankungen wird
häufig ein Nachlassen der körperlichen
Leistungsfähigkeit (KLF) beobachtet, was Folgen für das
Auftreten von Teilhabestörungen nach sich ziehen kann. Eine diese
Komorbidität berücksichtigende fachübergreifende
Betreuung psychisch Erkrankter wird gefordert, stößt jedoch an
Grenzen der praktischen Umsetzbarkeit. Die KLF ist bei der sozialmedizinischen
Beurteilung der Erwerbsfähigkeit ein wichtiger Parameter. Ziel der
Studie war es zu untersuchen, ob sich im Rahmen einer berufsbezogenen
interdisziplinären und individualisierten Langzeitrehabilitation von
Soldatinnen und Soldaten ausgewählte Parameter der Fitness und der
Rumpfkraft sowie kardiovaskulärer Risikofaktoren im Vergleich zu einer
zu rehabilitierenden Kontrollgruppe ohne psychische Erkrankung verbessern
lassen.

Material und Methoden In einer retrospektiven
Längsschnittuntersuchung wurden 116 Verläufe (über 25,9
± 12,8 Monate) von Reha-Patienten, die aufgrund von
orthopädischen Einschränkungen (n=22) und/oder
PTBS-Diagnose (n=94) Rehabilitationsmaßnahmen erhalten haben,
anhand der Befunde von Fahrradergometrien und isokinetischen Rumpfkraftmessungen
sowie ausgewählten Laborparametern ausgewertet. Die statistische Analyse
erfolgte bei fehlender Normalverteilung mittels Friedman- und
Kruskal-Wallis-Tests.

Ergebnisse Während die maximale Leistungsfähigkeit in der
Fahrradergometrie in der Kontrollgruppe von Patienten mit ausschließlich
orthopädischen Einschränkungen im Median um 22,28 %
(p=0,001) gesteigert werden konnte, lag diese Steigerung bei Patienten
mit zusätzlicher oder ausschließlicher PTBS bei 5,46 %
(nicht signifikant). Die Leistung an der 4 mmol-Lactatschwelle konnte in beiden
Gruppen signifikant verbessert werden. In der isokinetischen Rumpfkraftmessung
konnten für beide Gruppen kaum relevante Leistungssteigerungen
beobachtet werden. Cholesterin, Triglyzeride und Harnsäure im
Blutveränderten sich im Verlauf marginal.

Schlussfolgerungen Eine klinisch relevante Steigerung der
körperlichen Leistungsfähigkeit von psychisch erkranktem
militärischem Personal erscheint in der Langzeitbeobachtung im Rahmen
eines umfangreichen rehabilitativen Angebots im Gegensatz zu nicht psychisch
erkranktem militärischen, rein orthopädisch zu rehabilitierendem
Personal, schwerer erreichbar. Eine Verbesserung der
Grundlagenausdauerleistungsfähigkeit war in beiden Gruppen
möglich. Das kardiovaskuläre Risikoprofil bei einer
Studienpopulation jungen Alters war nicht signifikant verbesserbar.
Formation of multiple quantum wells m 2D/3D perovskite heterostructures invalidates phonon bottleneck effect
Authors: Yang Zhe , Zhu Renlong , Zheng Xiaoxuan , Pei Quanbing , Tan Junjun , Ye Shuji
Published: January 2024

The importance of the phonon bottleneck effect on the optoelectronic properties of organic-inorganic hybrid perovskites (OIHPs) has been well documented. While randomly distributed multiple quantum wells (MQWs) are frequently generated in 2D/3D perovskite heterostructures, the influence of MQWs formation in 2D/3D perovskite heterostructures on the phonon bottleneck effect is poorly understood. In this study, we construct 2D/3D perovskite heterostructures using 2D OIHP (NH3(CH2)8NH3PbI4, OdAPbI4) to passivate 3D OIHP (FAPbI3) and investigate their excitons and carrier dynamics by employing photoluminescence (PL) spectroscopy and femtosecond optical-pump terahertz-probe spectroscopy (fsOPTPS). We observe the formation of MQWs and establish a structure-dynamics-property relationship among the exciton formation time ( TEF), the hot carrier cooling rate (kcool) and the effective charge-carrier mobility(ϕμ). The formation of MQWs could significantly invalidate the phonon bottleneck effect and modulate the optoelectronic properties of 2D/3D perovskite heterostructures. This work provides valuable information on the importance of band alignment and the phonon bottleneck effect in the strategy of 2D/3D perovskite heterostructures.
Ferroelectric artificial synapses for high-performance neuromorphic computing: Status, prospects, and challenges
Authors: Zhao Le , Fang Hong , Wang Jie , Nie Fang , Li Rongqi , Wang Yuling , Zheng Limei
Published: January 2024

Neuromorphic computing provides alternative hardware architectures with high computational efficiencies and low energy consumption by simulating the working principles of the brain with artificial neurons and synapses as building blocks. This process helps overcome the insurmountable speed barrier and high power consumption from conventional von Neumann computer architectures. Among the emerging neuromorphic electronic devices, ferroelectric-based artificial synapses have attracted extensive interest for their good controllability, deterministic resistance switching, large output signal dynamic range, and excellent retention. This Perspective briefly reviews the recent progress of two- and three-terminal ferroelectric artificial synapses represented by ferroelectric tunnel junctions and ferroelectric field effect transistors, respectively. The structure and operational mechanism of the devices are described, and existing issues inhibiting high-performance synaptic devices and corresponding solutions are discussed, including the linearity and symmetry of synaptic weight updates, power consumption, and device miniaturization. Functions required for advanced neuromorphic systems, such as multimodal and multi-timescale synaptic plasticity, are also summarized. Finally, the remaining challenges in ferroelectric synapses and possible countermeasures are outlined.
Modeling of heating scheme impacts on neon seeded plasmas with the resonant magnetic perturbation application in the large helical device: ECR and NBI heating
Authors: Tokar Mikhail , Kobayashi Masahiro
Published: January 2024

Plasma parameter profiles along the effective minor radius of flux surfaces are modeled for the conditions with neon impurity puffing and external resonant magnetic perturbations at the plasma edge in the large helical device. For the electron cyclotron heating scenario, calculations qualitatively reproduce stable steady states with plasma detached from divertor target plates and radiation losses exceeding 90% of the heating power. It is unlikely with neutral beam injection heating that the plasma collapses if the radiation approaches a critical level noticeably below 100%. The latter is explained by the dependence of neutral beam attenuation on the plasma ion effective charge.
Armchair zinc chalcogenide nanoribbons for high-performance photodetectors: A computational study
Authors: Meng Shuang , Zhou Jia
Published: January 2024

In this study, we employ density functional theory and non-equilibrium Green's function methods to investigate the electronic and photoelectric response properties of one-dimensional hexagonal ZnX (X = S, Se) nanoribbons (NRs). Remarkably, armchair (ARM) NRs demonstrate superior photoelectric response in the visible and near-ultraviolet regions. It is worth noting that for all considered photon energies, the photocurrent exhibits a cosine dependence on the polarization angle, which is consistent with the photogalvanic effect. when the width of NR is eight atoms, the zinc blende ZnSe/ARM NR-based device achieves a maximum extinction ratio of 63.9 at the photon energy of 3.0 eV. The significant photocurrent and high polarization sensitivity suggest the potential of ZnX NRs for applications in optoelectronic devices, particularly in visible and near-ultraviolet light detection.
Exploration of a mutant enzyme protein with active site fluctuations at 330 K via machine learning and molecular dynamics simulations
Authors: Nishiyama Katsuhiko
Published: January 2024

Control of active site fluctuations in enzyme proteins would significantly expand their application fields. Because papain typically has higher activity at 330 K, shifting the temperature to 330 K may help to expand its range of use in medical treatment, food processing, and bioelectronic devices. Mutating residues R111 and Q112 in the β-strand hinge structure that links the two papain domains may significantly influence fluctuations in its active site. To identify papain mutants with active site fluctuations that match the target temperature (330 K), R111 and Q112 were repeatedly mutated complementarily using deep neural network (DNN) and molecular dynamics (MD) simulations. Overall, 24 mutation patterns were found to bring the active site fluctuations of papain at 300 K closer to those of papain at 330 K. The decision tree identified factors that specifically influenced the active site fluctuations. These factors should be considered when designing studies that combine DNN and MD simulations.
Huge Dzyaloshinskii–Moriya interactions in Pt/Co/Re thin films
Authors: Fakhredine Amar , Wawro Andrzej , Autieri Carmine
Published: January 2024

We investigate the magnetization and the Dzyaloshinskii–Moriya interactions (DMI) in Pt/Co/Re thin films in the case of perfect interfaces and upon the introduction of intermixing on both Co interfaces. Calculations were implemented on a series of systems with a countable number of cobalt atomic layers. Remarkably, Re can introduce a DMI at the interface with cobalt and also increase the DMI at the Pt/Co interface. We demonstrate that the chiral magnetic multilayer Pt/Co/Re with a chiral spin structure can achieve a substantial DMI value, which is almost double that attained in the prototype system Pt/Co/W. We also study the DMI as a function of the Re thickness, finding the optimal thickness to maximize the DMI. When we include a disorder that cancels a contribution from all first-neighbor Co atoms in the intermixed region, we find out that intermixing at the two interfaces affects the strength of the DMI solely when introduced at the Pt/Co interface, where the DMI loses almost half of its value. On the contrary, the mixing at the Co/Re interface has very little or no effect where the calculated values were not significantly decreased as compared to the case with perfect interfaces.