bluuebunny/crossref_metadata_2025 huggingface dataset:
Professional Development Needs Based on the Mode of Delivery
Authors: Chen Jiayang
Published: February 2025

The rapid shift from traditional classroom teaching to online and hybrid learning environments has highlighted the need for effective professional development (PD) programs to support educators. This study aims to identify the key PD needs of educators adapting to various modes of teaching delivery, evaluate the effectiveness of current PD programs, and offer recommendations for improvement. Using a quantitative survey design, data were collected from 56 educators at S College in China. The findings reveal that educators prioritize customized PD programs, collaborative learning opportunities, and ongoing support to address challenges such as technology integration, online course design, and student engagement. While current PD programs are generally effective, there is a need for greater alignment with educators' specific needs and more sustained support. The study concludes with actionable recommendations, including the development of learner-centered PD initiatives, the promotion of collaborative learning, and the provision of continuous professional support. These recommendations are grounded in the theoretical frameworks of Andragogy, Social Learning Theory, and Experiential Learning Theory, offering valuable insights for institutions aiming to enhance teaching quality in digital learning environments. This study contributes to the broader discourse on online education by addressing critical gaps in PD and providing practical strategies to support educators in the evolving landscape of higher education.
Enhancing Urban Traffic Management: A Comprehensive Study of Adaptive Control Traffic Light Systems
Authors: Liu Jiayu
Published: February 2025

With the rapid development of urbanization, traffic congestion has become an increasingly serious issue, posing significant challenges to urban mobility and environmental sustainability. To improve traffic efficiency and alleviate transportation strain, this paper explores the adaptive control traffic light system, a promising solution leveraging advanced technologies. The paper begins by introducing the basic principles and technical features of adaptive traffic light control systems, which adjust signal timings based on real-time traffic conditions. These systems utilize a range of technologies, including sensors, cameras, and communication networks, to gather data on traffic flow, vehicle speeds, and congestion levels. It then focuses on identifying the types of exploitable data that need to be collected, such as vehicle counts, waiting times at intersections, and pedestrian movements. It outlines the future work required to address these challenges, such as developing more robust data collection methods, improving algorithmic efficiency, and enhancing the interoperability of various system components. Finally, the paper concludes by summarizing the findings and emphasizing the potential benefits of implementing adaptive traffic light control systems in urban environments.
Enhancing Linguistic Bridges: Seq2seq Models and the Future of Machine Translation
Authors: Lai Yihan
Published: February 2025

Machine translation has evolved significantly since the introduction of rule-based and statistical methods, leading to groundbreaking advances with the advent of neural networks. These neural networks, particularly sequence-to-sequence (seq2seq) models, have revolutionized the field by enabling more fluent and contextually accurate translations. As digital interactions increase globally, the demand for efficient and precise translation tools has never been more pressing, especially for language pairs that pose substantial linguistic challenges due to their structural differences. This study delves into the seq2seq model's enhancement of machine translation (MT), a critical tool amidst the rise of global digital communication. Focusing on English-Chinese language pairs, the research investigates the integration of a grammar transformation layer within the seq2seq architecture, revealing a measurable improvement in translation quality, with BLEU scores increasing by 0.7 to 1.0 points. These advancements signify a leap in addressing syntactic disparities between highly divergent languages. The conclusion underscores the model's capacity for nuanced language processing and its vital role in diminishing language barriers. This work also reflects on the seq2seq model's significance, paving the way for future developments that could revolutionize interlingual communication by capitalizing on deep learning and neural networks' evolving capabilities.
Review of Cooling Methods for Oil-Immersed Transformers
Authors: Gao Xinyue , Wang Shunyu , Gao Huaixuan
Published: February 2025

With the growing demands for electricity, the safe and stable operation of transformers are crucial. Oil-immersed transformers are widely used in power systems due to their excellent heat dissipation and insulation properties. However, the traditional oil-immersed transformer cooling methods are difficult to meet the needs of modern power systems, therefore, new cooling methods need to be developed. The existing oil-immersed transformer cooling methods are varied, including oil natural air natural (ONAN), oil-natural air-forced (ONAF), oil-forced water-forced (OFWF), oil-forced air-forced (OFAF), oil-direct air-forced (ODAF), oil-direct water-forced (ODWF) and natural oil circulation cooling method with directed structure, each of which has its own advantages and disadvantages and is applicable to different scopes. In addition, the choice of cooling medium also has an important impact on the cooling effect of the transformer, mineral oil, natural esters, synthetic esters and other different medium have different properties. This review introduces the medium, principles and practical application of oil-immersed transformer cooling methods, aiming to help power system engineers and technicians have an in-depth understanding of the oil-immersed transformer cooling methods and provide references for them to select suitable cooling methods and optimize transformer cooling systems. Moreover, this review also provides certain theoretical basis and ideas for the research and development of transformer cooling methods, promotes the progress of transformer cooling methods and provides more reliable guarantee for the safe and stable operation of the power system.
Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty
Authors:   Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand, Sasiwimon Sasiwimon ,   Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand, Iwsakul Sasiwimon
Published: February 2025

In this paper, we extend statistical hypothesis testing to data represented as neutrosophic sets, encompassing membership, indeterminacy, and non-membership components. Two distinct scenarios are considered: first, where all three components are independent, and second, where all three components are dependent.
Cancel Culture's Torrent: The Challenges Faced by Celebrity and Brand
Authors: Liu Yuanyi
Published: February 2025

In the digital era, cancel culture has become a potent social force, influencing brands and celebrities. With the increasing prevalence of social media platforms accelerating its spread, this research aims to unearth the drivers and consequences of cancel culture for both brands and celebrities, employing case studies of IVE and L'Oral, it utilizes the power within relationships theory, and Heuristic typology in congruence theory to do the research. Findings reveal that cultural missteps or value breaches, like IVE's cultural misrepresentation and L'Oral's controversial dismissal, trigger cancellations. Consumers' power perception and value congruence shape responses. Brands and celebrities can rebound through transparency and value realignment. The study concludes that while cancel culture poses risks, entities can safeguard themselves by embracing accountability and diversity. Moreover, understanding the generative reasons behind cancel culture is crucial in an age where public opinion wields significant influence, and it offers a strategic compass for brands/celebrities and a foundation for future research on this complex cultural phenomenon.
The Exploration of Effects of Anxiety, Motivation and Gender on Students Academic Performance
Authors: Zhou Jiafan
Published: February 2025

This study explored the effects of anxiety, motivation, and gender on students' academic performance through a literature review. According to previous studies, anxiety can directly impair students' self-esteem and motivation to learn, which can result in a drop in their academic achievement. Students' learning is impacted differently by intrinsic and extrinsic incentive. While extrinsic motivation has a more erratic and short-lived effect, intrinsic motivation significantly and permanently improves learning performance.. But when intrinsic motivation is low, extrinsic motivation can also act as motivation to drive students to learn. In addition, gender factors indirectly affect students' academic performance through psychological and social roles, for example, female students are generally more susceptible to anxiety than male students. Male students had higher levels of depressive stress than female students. This is due to the influence of psychological or social preconceptions among pupils of various genders. Male students tend to repress their emotions, which can contribute to a rise in depression, whereas female students are more inclined to communicate their fears. Future research should incorporate more beneficial data to further expand pertinent theories and methods, even if this study offers insightful information about this sector.
Leadership and Equity in Multicultural Education: A Case Study at Taiwan University
Authors: Huang Sijia
Published: February 2025

Equity has become a central principle in educational policy and leadership worldwide. However, a wide range of interpretations of equity and what it means in education exist. This study explores the relationship between educational leadership and equity within a diverse student cohort comprising individuals from various cultural backgrounds and nationalities. Students from Canada, Vietnam, Mainland China, and Taiwan converge in a research institute classroom setting, fostering a rich tapestry of perspectives. The central research question investigates how educational leadership influences equity, particularly in fostering inclusive environments for students from diverse backgrounds. Through an in-depth interview with Professor Yi Qiu from the Chinese Culture University in Taiwan, this study examines how educational leadership can promote equity in a multicultural setting. The findings suggest a positive correlation between leadership practices and educational equity, emphasizing the significance of inclusive leadership in providing equal educational opportunities and resources to students from various cultures and social backgrounds.
Enhancing EFL Competence via Mediation: A Vygotskian Approach with a Focus on Picture Books
Authors: Zhong Zhiqing
Published: February 2025

As globalization accelerates, the value of English as a Foreign Language (EFL) education has increased notably. In recent years, Vygotskys Sociocultural Theory (SCT) has been widely employed in EFL teaching, establishing itself as a core framework for instructional practice. As a result, the paper investigates how the key concepts of SCT are used in EFL teaching and demonstrates, through specific cases, their effectiveness in enhancing language proficiency. In particular, it focuses on the application of picture books as an innovative cultural tool in language input, cultural understanding, and emotional development. The results indicate that picture books, with their multimodal forms (such as text, images, and design),effectively boost students language input, vocabulary acquisition, and cultural understanding. While research highlights the significance of picture books in reading comprehension and vocabulary, their impact on speaking and writing remains underexplored. Teachers should leverage the multiple functions of picture books and apply specific teaching strategies to enhance students overall language proficiency. In addition, more attention should be given to the specific applications and practical strategies for using picture books in speaking and writing instruction.
The Impact of Using Mind Map Strategy to Improve Reading Ability of Chinese EFL Students at Senior High School Level
Authors: Chen Jingyi
Published: February 2025

The new National English Curriculum Standards for general senior high schools propose to further promote the development of students' English core accomplishment. As an essential component in English learning, reading ability is the foundation and key to cultivate students' integrative competence, which matches with the cultivation of students' independent learning ability and thinking ability emphasized in English curriculum standards. Mind map as an associative network, is considered an effective reading strategy that enables students to present complex texts in a simple way, further promoting comprehensive understanding. This study aimed to evaluate the influence of using the mind map strategy to improve the reading ability of Chinese EFL students at the senior high school level. This study utilized quantitative analysis in the West Campus of Shijiazhuang No.2 Middle School, with a sample of 40 students from Grade 10 (16 years old). The researcher incorporated proficiency test which include a vocabulary test and a reading test, pre-test, post-test to address the research question quantitatively.
Instrumental Behavior in Pavlovian-instrumental Transfer for Depression Therapy
Authors: Xu Yanwei
Published: February 2025

The mental condition is closely linked with peoples instrumental behavior, which allows us to adapt to the external environment. Rely on the positive valence system, the habits and goal or value seeking behavior is linked with the instrumental behavior and the influence of environmental cues. While depression patients build up an aversive Pavlovian-instrumental transfer and form a biased emotional state. The Pavlovian-to-instrumental transfer (PIT) was influenced by the environment and was reflected in biological chemistry level. Also, in the safety learning and exposure therapy, instrumental behavior has become a fundamental factor of generation of safety signals to help ease fear and anxiety. It makes exposure therapy possible. All of them are revealing that by changing instrumental behavior, it may be able to change patients mental condition and contribute to depression therapy. In the future, simple and effective instrumental behavior may be able to get into therapy and recover procedure of all kinds of mental disorders.
Heqin Policy During the Western Han Dynasty Contributed Accidentally to the Silk Road Trade Development
Authors: Yu Xiaoguang
Published: February 2025

The Silk Road is known as a cross-Eurasian trade route with silk as the most popular goods. There is plenty of research about the Silk Road timeline, routes, goods, merchants, cultural exchange, etc. In a study of different historical materials, records, and excavation evidence in both Chinese and English, some impactful correlations are identified between heqin (, peace through kinship) and the Silk Road, which is rarely discussed in other research. This work will elaborate in detail that heqin policy during Western Han dynasty contributed to Silk Road trade development accidentally by strengthening Han courts political stability, offering goods in high demand - silk as annual payments or imperial gifts to Xiongnu () and Western Regions (xiyu), opening up border markets (guanshi ) and facilitating direct connections of Han China with Western regions to build stable trade routes linking China to Western countries, known later as Silk Road.
Analyzing the Influence of Filial Piety and Compliance on Neuroticism among Chinese Females in the 1970s
Authors: Li Tianyi
Published: February 2025

This study investigates the impact of environmental factors on neuroticism by focusing on a cohort of Chinese females born in the 1970s. Specifically, it examines the correlation between filial piety as an environmental factor and levels of neuroticism in these individuals. Compliance served as a mediator in the hypothesized model, and the ideal of filial piety was added to identify the effect of belief or thought systems on behavior. The research contains five hypotheses: (1) a positive correlation between filial piety and compliance, (2) a positive correlation between compliance and neuroticism, (3) a negative correlation between neuroticism, (4) a negative correlation between neuroticism and ideal filial piety, and (5) a positive correlation between filial piety and ideal filial piety. The result affirms hypotheses (2), (3), (4), and (5) while failing to demonstrate a correlation between obedience and filial piety. The failure to support this hypothesis may be attributed to limitations including questionnaire translation issues and the random selection of participants. Orientations for future studies have been discussed.
Immediate Study about Themes Emerged in the Twitter Posts about the Roe v. Wade Leaked
Authors: Xiong Xinyang , Xiong Kaiki , Luo Jiawei , Duan Yifan , Zheng Xiaoyan
Published: February 2025

The present study instantaneously aims at analyzing the themes that have cropped up in the Twitter posts about the Roe v. Wade leaked version and to explore the themes which have cropped up in sampled Twitter data of the leaked version. Data, in this present study, is based on a sample of Twitter tweets on the leaked Roe v.Wade ruling. It identifies themes and emotions within textual data by text mining, sentiment analysis, and topic modeling. These are then incorporated into the MDCOR system, thus making available a fully fledged toolset for large-scale textual data analysis. Results: The findings extract two main theme codes and their sentiment distribution, along with their high-frequency words. The results indicated that the most used keywords were "roevswade," "abortionrights," and "woman." Sentiment analysis shows negative, fear, and sadness as the dominant feelings. Therefore, this study provides a data foundation for investigating the themes emerging in Twitter posts regarding the Roe v. Wade leaked version, able to help enterprises or governments develop intervention strategies and understand public opinion.
Nozick and Gettier-style Problems: Reviewing the Sensitivity Condition
Authors: Zhao Guo
Published: February 2025

This essay explores the challenges of analyzing knowledge by focusing on the Gettier problem and the notion of sensitivity. The Gettier problem highlights that justified true belief is not sufficient for knowledge. Sensitivity is introduced as a condition to address Gettier cases by requiring that a belief tracks the truth of the proposition. However, sensitivity clashes with the concept of closure that states knowledge being closed under entailment. This creates a dilemma: giving up sensitivity or closure. The essay argues for rejecting sensitivity because it has more problems than closure. First, even without closure, it's difficult to reconcile everyday knowledge with the limitations imposed by sensitivity. Second, sensitivity struggles to address all Gettier cases. Finally, a modified Gettier recipe is presented to demonstrate how sensitivity is vulnerable to counterexamples. The essay concludes that both attempts to revise Nozicks conditions of knowledge with sensitivity and the traditional project of analyzing knowledge in terms of necessary and sufficient conditions face significant challenges.
Cross-Cultural Exchange and Practice in Dance Education: A Case Study of the Dance School of Yunnan Arts University
Authors: Hu Xinyi
Published: February 2025

This paper focuses on the important role of dance education in cross-cultural exchange, using Yunnan Arts University as a case study to explore its achievements in innovation and inheritance, international exchange, and cultural sharing. Through international cooperation and exchange, the Dance School of Yunnan Arts University has built a multicultural communication platform that promotes dialogue and mutual learning between dance arts from different cultural backgrounds. By hosting international events such as the "Asia-Pacific Dance Week," the university has not only implemented the goals set by General Secretary Xi Jinping for Yunnan to become a hub for South and Southeast Asia, but has also advanced the internationalization and professional development of dance education. This contributes to building a shared future for humanity through the power of dance education. This study provides a practical perspective for the role of dance education in global cultural exchange.
A Study of Text Style Migration Based on Neural Machine Translation
Authors: Yang Tao
Published: February 2025

With the development of globalization, multilingual processing has emerged as a significant demand. Multilingual text-style migration has several real-world uses, such as improving intercultural communication, encouraging more inclusive multilingual education, and automating content production. These developments help to lower language barriers and promote global connectedness by making texts easier to read and accessible to a wide range of consumers. In the domain of natural language processing, the rapid growth of neural networks has led many scholars to devote themselves to the task of text-style migration using a neural machine translation system, facilitating the conversion of styles between different languages and enhancing the readability of texts. This paper first introduces the history of the development of neural machine translation and common neural machine translation modeling mechanisms. It then categorizes the text-style migration methods based on neural machine translation and specifies the applicable conditions, intrinsic mechanisms, and previous research results of each technique. This overview aims to shed light on the challenges and potential directions in the field of text-style migration, contributing to a deeper understanding of multilingual natural language processing. It is hoped that these revelations will stimulate more investigation and study in this developing field.
Comprehensive Management of Ankle Sprains: Structure, Diagnosis, Treatment, Prevention Strategies, and High-Risk Groups
Authors: Xu Qingya
Published: February 2025

Ankle sprain is one of the most common injuries in ankle sports. Due to the special characteristics of human body structure, lateral ankle ligament sprain is a common injury during exercise. The severity of ankle sprain is closely related to the degree of ligament damage and. This type of sprain can be classified as mild, moderate, and severe. Most of the ankle sprains are mild, but some severe patients need to fix their ankle joints for a long time to complete basic movements such as walking smoothly. Currently, surgery is needed to help them recover. However, the risk of surgery is still high today, so it is crucial for patients to take some conservative management strategies first, which include physical therapy and rehabilitation and show a promising outcome during previous experiments. This review elaborates on the structure of ankle joints, as well as diagnosis, treatment, and prevention methods of ankle sprains, aiming to discuss effective treatment plans, reduce the possibility of severe ankle joint injuries, and help people with corresponding problems recover.
Application of Virtual Reality Technology in Rehabilitation Nursing: Enhancing Patient Autonomy and Advancing Collaborative Care Models
Authors: Li Xiaoxi
Published: February 2025

Rehabilitation plays a significant role in patients' reintegration into society. However, rehabilitation nursing faces the issue of low patient autonomy, which not only restricts the effectiveness of rehabilitation nursing but also hinders the transition from traditional to modern nursing models. The application of Virtual Reality (VR) technology in the field of rehabilitation nursing can provide patients with more personalized rehabilitation experience and promote the efficient conduct of rehabilitation nursing work.As a result, to introduce recent applications of VR technology in rehabilitation nursing more comprehensively, this review summarizes specific applications of VR technology in rehabilitation nursing and analyzes their effects to enhance patient autonomy, compared to traditional methods. By systematically analyzing the current application of VR technology in rehabilitation nursing both domestically and internationally, this review aims to deeply explore how VR technology enhances patient autonomy, attracting more attention on applications of VR technology on rehabilitation nursing, as well as promote further development of collaborative care models.
Revolutionary Privacy Protection: Developments of Visual Cryptography for Secure Image Sharing
Authors: Tang Shiyu
Published: February 2025

With the development of smart devices and networks, security and privacy protection have become significantly important. Numerous encryption algorithms have been invented to transmit confidential data or to protect user privacy. However, as most of them need complicated computing, sometimes they may not be the best way to encrypt certain types of data. Visual cryptography is a unique approach that is different from other kinds of cryptography as it does not need any mathematical calculation, but only relies on human vision for decryption. It was first proposed by Naor and Shamir. This paper selects two methods of visual cryptography, black-and-white image secret sharing and color image secret sharing. The paper first introduces the concept of the two methods, then summarizes the disadvantages of the two original algorithms and gives several improvements. Finally, provide examples of applications. The simple operations and decryption conditions make visual cryptography quite promising for future applications.
Preparation Methods of Polypyrrole Nanocomposites and Analysis of their Advantages and Disadvantages
Authors: Zhao Wenjun
Published: February 2025

In recent years, nanocomposites have attracted more and more attention due to their excellent properties. This material has good physical properties such as mechanics and optics, as well as good chemical properties such as catalytic activity. Its biocompatibility and photothermal conversion performance have also attracted much attention. The nanocomposite polypyrrole has a large specific capacitance, high conductivity, and good biocompatibility, which makes it widely used in electrochemistry and biomedicine. This article summarizes the development process of polypyrrole, introduces five polypyrrole nanocomposites and their common preparation methods, and combines the literature on the use of polypyrrole in biomedicine in recent years to analyze the huge uses of polypyrrole nanocomposites in biomedicine and other fields. Finally, the opportunities and challenges for the future development of polypyrrole nanocomposites are prospected, which has guiding significance for the future growth and application of polypyrrole composites.
A Comparative Analysis of the Environmental Impacts of LDPE Plastics and Various Widely Used Plastics in the United States
Authors: Li Zongrun
Published: February 2025

Plastic production has emerged over the decades as one of the worlds most significant contributors to carbon emissions. The most popular plastic types in the US, PET, HDPE, LDPE, PVC, PP, and PS, were calculated to have 208 million metric tons of carbon dioxide equivalent (CO2e) in 2022. LDPE was the top contributor among these plastics, producing 72.6 million metric tons of CO2e. This study evaluates the climate impacts of various plastics, comparing them based on production volumes and associated CO2 emissions. The life cycle of plastic production released 232 million metric tons of CO2 in 2021. Plastic waste incineration and anaerobic decomposition in landfills further exacerbate CO2 and methane emissions. With plastic consumption quadrupling over the past 30 years, only 20% of plastic waste is recycled or incinerated, while the rest contributes to environmental pollution. Policymakers can mitigate plastic production's environmental impact by promoting recycled paper packaging, switching factories to renewable energy, and raising public awareness to boost climate activism. Implementing these measures can significantly reduce CO2 emissions and combat climate change.
An all-solid-state asymmetric hybrid supercapacitor empowered by MXene//MnO2/PEDOT: PSS electrodes and chitosan-PEO electrolyte
Authors: Ren Shangyuan
Published: February 2025

As the global greenhouse effect is becoming intense, its of great importance to develop renewable energy to cut down on human carbon footprint. Supercapacitor, an eco-friendly energy storage system, has received great success. The article discussed a kind of asymmetric solid-state supercapacitor using MXene as the anode, MnO2/PEDOT: PSS nanostructured composite as the cathode, and chitosan, polyethylene oxide as the electrolyte. In the experiment, this supercapacitor presents excellent properties such as high en-ergy density, wide voltage window due to the asymmetric structure, and the utilization of oxidation-reduction reaction.
Study on the Treatment of Heavy Metal Ions in COD Detection Waste Liquid by Molecular Sieve
Authors: Yang Dong-qing , Chen Jun-wen , Lu Peng , Li Song , Song Yapeng , Yue Hongyu
Published: February 2025

By studying the removal effect of different pore size molecular sieves on heavy metal Ag+ in COD detection waste liquid, molecular sieves with excellent adsorption performance for heavy metal ions were screened. The removal rate of Ag+ can reach over 60%. By studying the structural changes of molecular sieves before and after adsorption and desorption of heavy metal ions, exploring the principles of molecular sieve adsorption and desorption, the method for the recycling and utilization of heavy metal ions and molecular sieves was established.
Optimizing stock price prediction based on triangular topology aggregation optimizer using long short-term memory network
Authors: Jin Yulin
Published: February 2025

Stock price prediction has always been a complex and challenging task in the financial field. This article proposes a novel method to optimize long short-term memory networks (LSTM) through a triangular topology aggregation optimizer, in order to improve the accuracy of stock price prediction. This method combines deep learning and advanced optimization techniques, aiming to provide more effective support for investment decisions in the stock market. We first introduced an optimized LSTM model and used a dataset for predicting stock prices. By observing the changes in loss between the training and validation sets, we found that the loss value of the training set gradually decreased from 0.04 to below 0.005 and approached convergence. Meanwhile, the loss value of the validation set remained below 0.005. This indicates that the performance of this model in stock price prediction is quite outstanding during both the training and validation phases. After analyzing the test set, the results showed that the predicted stock prices of this model were very close to the actual values, and could accurately predict market trends both numerically and trendwise. In addition, the MSE (mean square error) results obtained through the evaluation indicators of the model show that the MSE of the training set is 1.938, the MSE of the testing set is 1.944, and the RMSE (root mean square error) of the training set is 1.392, and the RMSE of the validation set is 1.394. These results indicate that the evaluation metrics of the training set and the test set are not significantly different, further proving that the model has strong generalization ability and can continue to demonstrate good predictive performance on new datasets. In summary, this article proposes an effective stock price prediction method by combining a triangular topology aggregation optimizer with an LSTM model, and verifies its efficiency and practicality in the training, validation, and testing stages. This type of research not only provides new ideas for analyzing the stock market, but also provides strong support for investors to make more reasonable decisions in a dynamic market environment.
Research progress of nanomaterials as food packaging materials
Authors: Guo Zixuan
Published: February 2025

This paper reviews the research progress on nanomaterials used as food packaging materials, focusing on their structural and functional characteristics. The study initially discusses the properties of organic nanomaterials, such as nanocellulose, and inorganic nanomaterials, including nano metal oxides and nano silicon dioxide, emphasizing how their unique properties differentiate them from conventional packaging materials. Nanomaterials exhibit superior mechanical strength, barrier properties, antibacterial activity, and environmental friendliness compared to traditional petroleum-based packaging, which is challenging to degrade and environmentally polluting. Organic nanomaterials, such as nanocellulose, have demonstrated particular promise for enhancing food quality and safety, while inorganic options provide additional stability and durability. Despite these advantages, nanomaterial applications in food packaging raise potential toxicological concerns and environmental health risks that require further investigation and regulation. Technical and cost-related challenges also remain as barriers to their widespread adoption.
Research on surface-active agent type PET antistatic agent
Authors: Wang Wanyue
Published: February 2025

Surface-active agent type PET antistatic agent is a research hot spot in the field of antistatic materials in recent years, widely used in textile, packaging and electronic industries. PET (polyethylene terephthalate) is a polymer material with excellent properties, but its high electrical resistivity and tendency to accumulate static electricity limit its application in specific fields. Surface-active agent type antistatic agent can form a conductive layer on the surface of PET material through surface activation, effectively reducing static buildup and enhancing antistatic performance. Starting from the principle of action of antistatic agents, this review focuses on the classification of surface-active agent type PET antistatic agents, including anionic, cationic, nonionic, and amphoteric surfactants, as well as the advantages and disadvantages of each type of antistatic agent. In addition, the use of surface-active agent-based antistatic agents and the effect of additives on PET properties are reviewed. Finally, the challenges and development prospects of surface-active agent-based antistatic agents in PET material applications were analyzed, and it was pointed out that future research should focus on their durability, processing adaptability, and environmental friendliness in order to further broaden their application areas.
Application of Neural Network Models in Image Encryption and Differential Analysis
Authors: Lyu Yuxuan
Published: February 2025

As the demand for encryption and information security increases, the concept of neural networks in deep learning is gradually used in the field of image encryption, and the influence of neural networks on the field of image encryption is gradually deepening. The current mainstream neural network image encryption schemes are categorized into pixel disruption and chaotic systems. This paper provides a basic introduction to the four network models of chaotic neural networks, convolutional neural networks, cellular neural networks, and generative adversarial networks for image encryption, an analysis of the algorithmic framework, and an analysis of the encrypted image. It is found that all four neural network models are affected by the parameters of the model as well as the size, if the neural network encrypted image is highly resistant to noise, at the same time the distortion of the image will be larger and the visual entropy of the image will be increased accordingly. If a model is sensitive to the initial value, then the model has a relatively large key space, low correlation of neighboring pixels, good encryption, and is more difficult to crack.
Preparation methods for Sb2Se3 solar films: comparison and evaluation
Authors: Li Haotong , Liu Junyan , Wu Zhehao
Published: February 2025

Antimony (III) selenide (Sb2Se3) is a promising candidate for the future compound solar cells because of their excellent photovoltaic characteristics and abundant raw materials. In this paper, the preparation technology of Sb2Se3 solar thin films is comprehensively evaluated, and the physical and chemical methods are compared and analyzed, including thermal evaporation, vapor transport deposition, electron beam gun deposition, spin coating, chemical bath deposition and hydrothermal synthesis. The efficiency, cost and scalability of each method are discussed in detail, and the main obstacles such as grain size limitation and high deep defect concentration, are revealed. In view of these challenges, the strategies of optimizing crystal vertical arrangement, developing nanorod array device structure and innovating deposition technology are put forward. In addition, the potential of hydrothermal synthesis for preparing high-performance nanostructured Sb2Se3 is emphasized, despite the problems of long reaction time and high demand for precise control. Sb2Se3-based solar cells offer a practical and sustainable path toward meeting global energy demands. Continued innovation in materials and manufacturing will ensure their future role in renewable energy solutions
Social Entrepreneurship Communication of Kampung Teknologi Foundation through the Digital Literation of MSMEs during COVID-19 Pandemic
Authors: Sulistiyawati Sulistiyawati , Samatan Nuriyati
Published: February 2025

Information and Communication Technology (ICT) is significant for developing human resources in various villages in the current digital era. However, the implementation of ICT has experienced disruption due to the increasing spread of the COVID-19 virus, resulting in a decline in market mechanisms, especially in the Village MSME sector. Therefore, social innovation is needed by social entrepreneurs so that MSMEs can survive and compete with others, as has been done by the Kampung Teknologi Foundation (KTF) through digital literacy to MSMEs in villages. The method in this study used qualitative research using the Social Innovation Model. As a result, in social entrepreneurship communication, KTF carried out three essential stages, 1) Formalization: KTF used Law Number 6 of 2014 concerning Villages as a basis for empowering MSMEs. KTF initiated the empowerment of MSMEs in villages by introducing digital sales using social media, market places, e-commerce, and other digital applications; 2) Change processes: KTF implemented digital sales by initiating the Digital Up program, which is an entrepreneur empowerment program and was implemented after five-year KTF contributes to digital literacy; 3) Social Outcomes: In the application of digital literacy, only 30% of MSMEs have successfully switched to using digital technology. Therefore, good cooperation between one division and another is still needed, such as implementing new programs. It can minimize program failures, and implementing digital literacy can succeed and on target.
Defying the Odds: Women’s Journeys of Survival in the Novels of Chimamanda Ngozi Adichie
Authors: Karthiga K. , Jothi C. , Aravind B.R. , Priyadharshini P.
Published: February 2025

Chimamanda Ngozi Adichie, renowned for her compelling literary works, intricately weaves a narrative tapestry that explores the multifaceted dimensions of feminism, gender complexities, and the profound psychological landscapes of her female protagonists. Across the historical spectrum from the era of colonization to the contemporary zeitgeist, Adichie's narratives serve as poignant reflections of the intricate challenges women face navigating patriarchal societies. Central to Adichie's thematic exploration is the pervasive presence of violence against women, which she vividly depicts across various epistemic periods. This violence manifests in a spectrum of forms, ranging from overt physical aggression to insidious systemic injustices that erode the social fabric. Through her characters, Adichie lays bare the harsh realities of a world where women are routinely subjected to oppression and exploitation, their voices stifled, and their autonomy curtailed. Furthermore, Adichie delves deep into the labyrinthine realms of the female psyche, illuminating the profound impact of societal expectations and gender norms on her characters' inner lives. The relentless pressure to conform to rigid gender roles, compounded by the trauma of sexual violence and other forms of abuse, leaves an indelible mark on their sense of self and shapes their perceptions of reality. Yet, amidst the shadows of adversity, Adichie's narratives offer glimpses of resilience and strength, showcasing the unwavering spirit of women who defy the constraints imposed upon them. Adichie dismantles entrenched narratives through their stories and challenges the power structures perpetuating inequality and marginalization. Adichie's literary oeuvre is a powerful testament to the enduring struggle for gender equality and the complex intricacies of the female experience. Through her masterful storytelling and empathetic characterizations, she invites readers to confront uncomfortable truths and engage in critical discourse on the pervasive systems of oppression that continue to shape our collective reality.
Enhancing Academic Performance of Omani Students in the IELTS-Based Reading Exams: Influence of Reading Strategy Interventions
Authors: Chinnathambi Kodhandaraman , Anandan Latha , Tago Nancy Dalangbayan
Published: February 2025

This study investigates how using reading strategies as an intervention effectively improves the academic performance of Omani students at level 4 in the IELTS-based reading exams. Eight research questions and corresponding null hypotheses were formulated and tested to find out the influence of reading strategy interventions on test outcomes. About 24 students studying at level 4 in the General Foundation Program of the Preparatory Studies Center, University of Technology and Applied Sciences-Ibra, participated in the study. The experiment group had 12 students, and the control group had 12 students. A pre-test was administered to both groups to assess their initial performance. Following that, targeted reading strategy interventions were given to the experiment group. The control group did not receive any such interventions. A post-test was given to both groups at the end of the intervention period. The comparison of test scores revealed that the experiment group performed better than the control group, which means that the reading strategy interventions positively affected the academic performance of the experiment group compared to the control group. Hence, it is recommended that targeted reading strategy interventions be incorporated to enhance the academic performance of level 4 Omani students in the IELTS-based reading exams.
Comoditização das micro e pequenas empresas pelas plataformas digitais: uma análise na Microrregião de Varginha
Authors: De Oliveira Luciano , Franklin Frogeri Rodrigo , Portugal Nilton dos Santos
Published: February 2025

O impulso gerado pelo crescimento do mercado online, especialmente durante e após a pandemia por COVID-19, resultou numa participação crescente das micro e pequenas empresas (MPEs) nas plataformas de economia partilhada (Plataformas digitais). As MPEs perceberam nas plataformas digitais oportunidades únicas para expandir a sua base de clientes, aumentar a sua participação de mercado e ampliar as suas receitas. Contudo, a literatura científica tem demonstrado várias manifestações da desigualdade de poder entre as Plataformas digitais e as empresas-usuárias. Observa-se que as bases de poder das Plataformas são tecno econômicas, permitindo que elas influenciem as negociações, reconfigurem algoritmos e reestruturem o engajamento de acordo com suas próprias prioridades. As Plataformas possuem uma capacidade técnica de acessar e controlar dados de todos os atores envolvidos no seu ecossistema, exercendo controle sobre os serviços e estimativas, inclusive determinando a entrada ou permanência de empreendedores em mercados específicos. Essas características impulsionam o crescimento das plataformas digitais e expande o seu domínio de mercado, à medida que a interdependência das MPEs em relação às plataformas digitais prossegue em expansão. As MPEs se veem cada vez mais dependentes dessas plataformas para respaldar suas iniciativas de digitalização e mitigar a limitação de recursos que normalmente são insuficientes. Destarte, a dissertação tem como objetivo analisar a relação das micro e pequenas empresas da Microrregião de Varginha com as plataformas digitais. Metodologicamente, o estudo se caracteriza como de abordagem qualitativa, lógica indutiva e epistemologia interpretativista, executada por meio de estudos de casos múltiplos. Os dados serão coletados por meio de entrevistas semiestruturadas e analisados por meio das técnicas de Análise Lexical e Análise de Conteúdo
Práticas Digitais no Ensino Superior: Um Estudo sobre Competências e Formação Docente
Authors: Gonçalves Oliveira Queren , Marques Cordeiro Nelly Heine , De Souza Braga Lais , Bittencourt da Silveira Caroline Bittencourt da Silveira , Andrade Rodrigues de Souza Daniel , Rodrigues Paulo Henrique
Published: February 2025

O artigo apresenta um estudo sobre as competências digitais de docentes do ensino superior em uma instituição de Campo Mourão (PR). Baseando-se no modelo europeu DigCompEdu, os autores conduziram uma pesquisa quali-quantitativa com 63 professores, investigando níveis de proficiência em áreas como tecnologias digitais, ensino-aprendizagem e avaliação. Os resultados mostram que a maioria dos docentes se encontra nos níveis iniciais de maturidade digital (A2: Explorador e B1: Integrador). Apesar de esforços na integração de ferramentas tecnológicas, ainda há desafios na diversificação de práticas e na segurança digital. O estudo reforça a importância da formação contínua e de abordagens colaborativas para fomentar a inovação no ensino.
The individual effects of workplace bullying; Experiences from Namibia.
Authors:   Department of Psychology and Social Work, Clifford Hlatywayo Clifford ,   University of Namibia, Windhoek, Namibia, Imbuwa Gina M ,   Department of Psychology and Social Work, University of Namibia, Namibia
Published: February 2025

Workplace bullying has also been documented to have detrimental implications for employees, ranging from psychological to physical harm. Bullying in the workplace has a negative influence on organisational and individual performance, which has a knock-on effect on the workplace environment. Twelve self-reported targets were interviewed in depth using a qualitative approach, and data were analysed using the content analysis technique. Themes which emerged on coping with workplace bullying were; psychological, social, Physical and Mental Fatigue and Work Performance. Anxiety, feeling anxious, feeling edgy, Frustration, Weight loss, feeling tired, Irritated, Stress, Sleep disturbances, Fear, Headaches, Inability to concentrate, not happy, Lost confidence in self were the as the individual effects of workplace bullying. The present study contributed to the workplace bullying research by describing workplace bullying as a process in which targets’ experience bullying the data provided are in a new national context (Namibia). The researchers recommend inhouse mental wellbeing checks. Work life balance mechanism for HR Costing of employee absence and reduced productivity.