bluuebunny/crossref_metadata_2025 huggingface dataset:
Economic analysis for the impacts of oil price uncertainty on Chinese and U.S. stock returns before and during the COVID-19 pandemic
Authors: Wang Xiaofan , Xu Mengdie
Published: August 2024

The recent outbreak of COVID-19 has increased uncertainty across financial markets; therefore, examining the influences of oil price uncertainly on stock rewards is of considerable significance in this context. This article applies the crude oil volatility index (OVX) as a synthetic, precise measure of oil price uncertainty to explore how Chinese and U.S. stock returns respond differently to OVX changes prior to and during COVID-19. This issue is addressed by adopting a nonparametric causality-in-quantiles method, which can provide a more robust investigation of nonlinear impacts in various market situations. Our results indicate that stock returns in response to OVX changes across China and the U.S. are heterogeneous around the COVID-19 period. Before the epidemic, Chinese stock returns were considerably less responsive to the OVX shocks compared with the U.S. In contrast, China’s stock returns responded more strongly to OVX changes during the outbreak, while U.S. stock returns reacted in the opposite way.
Application and influence of children's painting psychotherapy on early childhood education
Authors: Zhou Meng
Published: August 2024

This paper deeply discusses the application and far-reaching influence of children's painting psychotherapy in preschool education. Through combing relevant theories, analyzing practical cases and studying the characteristics of children's psychological development, this paper reveals that children's painting psychotherapy, as a non-verbal communication and treatment method, has unique value in helping children express their emotions, solving psychological conflicts and promoting cognitive and social emotional development. Early childhood is a critical period of individual psychological development, and the experience of this stage has a far-reaching impact on his mental health and development throughout his life. However, due to the limited language expression ability of children, traditional psychotherapy methods are often difficult to achieve ideal results in children. As an innovative therapy, children's painting psychotherapy provides new ways and possibilities for children's mental health education. The purpose of this paper is to explore the application and effect of children's painting psychotherapy in early childhood education, analyze its positive influence on children's psychological development, and provide theoretical support and practical guidance for early childhood educators.
Economics of Sustainable Development——Harmonisation of Resources and the Environment
Authors: Shi Ge
Published: August 2024

This paper explores the economic theory of sustainable development and its application to the coordination of resources and the environment. It first describes the evolution of the concept of sustainable development and the main theoretical models, and analyses the relationship between resource scarcity and economic development, environmental issues and economic analysis. This is followed by a discussion of the implementation strategies of resource management policies and environmental protection policies, as well as the experiences and challenges of developed and developing countries in sustainable development. In particular, the current situation in China is analysed, and policy recommendations and future perspectives for promoting sustainable development in China are presented. Through comprehensive analyses, the paper aims to provide theoretical support and policy recommendations for promoting the coordinated development of economic growth and environmental protection.
Research on the application of data mining in the field of healthcare
Authors: Ding Wanwan , Fang Juntao
Published: August 2024

The healthcare big data industry is rapidly developing globally, and data mining and knowledge services in the healthcare field have become one of the core demands for its development. Data mining in healthcare is beneficial to improve the efficiency of diagnosis and treatment of patients, which is helpful to formulate more effective treatment plans and reduce medical costs. In this paper, we searched the core journals on China Knowledge Network and web of science by subject terms, and eliminated the irrelevant articles for literature counting. In this paper, the commonly used models and algorithms of data mining in healthcare are firstly elaborated; then the progress of the application of this technology in assisting medical tasks, optimizing resource allocation and improving health information services are respectively reviewed, summarizing the segmentation, classic algorithms and representative studies implied by each application. However, the application of data mining technology in healthcare also faces some problems, from data collection, to data cleaning, preprocessing, visualization, to the selection of algorithms and evaluation of results, each link is full of difficulties and challenges. Finally, this paper proposes future research directions such as diversifying data sources, strengthening security and privacy protection, developing visualization and analysis tools, accurately using big data to improve the service level of healthcare institutions, semanticizing electronic medical records mining, and improving cancer prevention. At the same time, data mining is deeply integrated with cloud computing, artificial intelligence and other fields to jointly promote scientific and technological progress in the field of health care.
Differentiation of Strategies Reflected by The Political Metaphor Use in Global Climate Negotiation: Comparison Between European Union and China
Authors: Qu Zihuan
Published: August 2024

The positive attitude for global governance will be required in order to successfully address global climate change. Currently there are several examples in global climate negotiation, especially in COP 26, reflected the discordance among strategies of different international entities. In international negotiation, the specific political words that delegates used is efficient for clarifying the strategies, which are called political metaphors. In this study we are looking for metaphors by analyzing the documents from EU and China in UNFCCC. This study explored the domestic and international strategies of China and EU in international climate negotiation, which reflected by the political metaphor. The researcher first collect the documents of EU and China in website of UNFCCC. Meanwhile, we use the corpus tool, Wmatrix, which created by Lancaster University. The tendency of strategy is evaluated by the data we collected and the analysis about the metaphors. Our result show that although EU and China are both in positive attitude about dealing with climate change, they have difference in details. EU tends to formulate the rigid structure under the Paris Agreement. They concentrate on the immediate and most effective measures. By the contrast, China focuses on long-term action by using relevant metaphors. They are trying to establish the new and more sustainable structure, which will be more friendly with countries have high emission and high development requirement at the same time
Corporate Marketing and Innovation Strategies Based on Brand Management
Authors: Wu ZiCheng
Published: August 2024

In a highly competitive business environment, effective brand management is crucial. A brand is not only a symbol of products and services, but also an external manifestation of corporate culture and values. A successful brand can evoke emotional resonance among consumers and establish long-term trust. Marketing, as a key component of brand development, directly impacts brand recognition and reputation through strategic planning and implementation. Initially, enterprises should focus on market positioning by conducting thorough preliminary research to understand market demands and competitive dynamics, thereby identifying a target market that aligns with their unique characteristics. Today, brand communication channels are diverse, allowing companies to convey their values to consumers in various ways and establish a positive brand image. Furthermore, leveraging the advantages of the internet and social media platforms through precise data analysis can help businesses quickly grasp consumer needs, adopt personalized marketing approaches, and enhance their market competitiveness, thereby generating greater economic benefits for the company.
Study on Information Security Industry Efficiency Measurement Based on DEA-GRA
Authors: Wu Songye , Zheng Huixin , Lv Caihong , Jiang Jialing , Li Shenghong
Published: August 2024

The operational efficiency of information security enterprises is of great significance to China's information security and even economic security. This paper constructs a DEA-GRA model to calculate the BCC efficiency decomposition of 30 listed companies and gives the amount of input redundancy and output insufficiency of non-DEA effective enterprises. This study also explores the grey correlation between the efficiency of super-efficient technologies and the environmental factors of where firms produce and sell. The results of the study show that the vast majority of non-DEA effective decision-making units in 2022 are in a state of decreasing size. The grey correlation analysis shows that the industrial cluster effect and scientific and technological investment in the production place, and the degree of development of the information security industry in the operation place have an important impact on the technical efficiency of information security enterprises.
The Teaching Method and Practice Exploration of Traditional Culture Education and Art Education
Authors: Wang Shuang
Published: August 2024

Chinese traditional culture has distinct national characteristics and connotation. Art education in colleges and universities bears the historical responsibility of inheriting and protecting traditional culture. At the present stage, integrating traditional Chinese culture into art education is still facing challenges. Therefore, in the era of information prosperity, only by constantly exploring the teaching methods and practical exploration of Chinese traditional culture education in art education in colleges and universities, can we stick to the foundation of art and awaken the original intention of education.
Research on optimisation of e-commerce supply chain logistics management mode under blockchain technology
Authors: Guo Suyao
Published: August 2024

The introduction of blockchain technology in e-commerce supply chain logistics management can effectively improve the operation effect. The problems existing in the current e-commerce supply chain logistics management mode are analysed on the basis of an overview of blockchain technology, and then the feasibility of e-commerce supply chain logistics management mode under blockchain technology is explored. The study concludes that: blockchain technology has distributed bookkeeping characteristics, which can effectively solve the problem of information asymmetry in the e-commerce supply chain, and the programmable contract in the blockchain can match all the information in the process of payment and transaction of e-commerce supply chain, identify the responsibility of the transaction, realise the traceability of the goods, and reduce the risk of the transaction. Based on the conclusion of the study, the countermeasures of using blockchain technology to improve e-commerce supply chain logistics, optimizing logistics management with the concept of "blockchain + Internet of Things", and solving the problems of the traditional management mode with "blockchain + supply chain" finance are proposed.
Research on the high-quality development of sports-tourism integration in healthy cities under international events--Taking the 19th Hangzhou Asian Games as an example
Authors: Ye Yangyang , Ding Yuliang , Xu Meiqi
Published: August 2024

With the continuous promotion of the national policy of "Healthy China" strategy, the construction of healthy cities has become one of the important contents of China's urban development, and the integrated development of sports and tourism \has also entered a new stage of high-quality promotion. This paper focuses on the healthy city development of Hangzhou, aiming at the international event node of the Asian Games, from the actual development of Hangzhou's sports tourism, the exploration in digitization, integration, branding, nationalization and low-carbon development, and provides practical reference for the long-term development of sports tourism in other countries and regions.
The Role of ESG Metrics in Shaping Capital Market Liquidity
Authors: He Chenyu
Published: August 2024

This paper examines the impact of environmental, social, and governance (ESG) indicators on capital market liquidity. Using companies from the S&P 500 index that have published ESG reports for at least three years as samples, the study analyzes the relationship between ESG scores and market liquidity through a multiple linear regression model. The findings reveal that companies with higher ESG performance experience increased trading activity, indicating a significant positive correlation between ESG indicators and market liquidity. Furthermore, the research identifies that company size, profitability, institutional shareholding ratio, and market conditions significantly influence market liquidity. Specifically, larger companies, those with stronger profitability, a higher proportion of institutional shareholdings, and favorable market conditions tend to have better stock liquidity. Conversely, a high asset-liability ratio and stock price volatility negatively affect market liquidity. These findings not only reveal the importance of ESG indicators in the capital market, but also provide valuable reference for investors' decision-making and market supervision.
Research on the inheritance and protection of intangible cultural heritage under the perspective of metauniverse
Authors: Wu Jian
Published: August 2024

Nowadays, with the rapid development of Chinese society in various fields, in this environment, new things continue to produce, leading to many traditional things have been withdrawn from the stage.
Preface: 8th International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2024)
Authors: Kang Qin , Benson Caroline
Published: August 2024

The organizing Committee of 8th EMEHSS warmly welcomes you to join the 8th International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2024), this conference was held in Hong Kong, China during July 29-30, 2024.
The aim of the EMEHSS is to provide an interactive platform for the scholars, economists, managers, innovators, entrepreneurs, government agencies and policy-makers etc., from both China and abroad to exchange ideas.
EMEHSS 2024 received 125 manuscripts. And the acceptance rate is less than 50%. Articles submitted to the conference should report original, previously unpublished research results, experimental or theoretical and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic.
Conference Organizing Committee.
Behind Stereotype: The Relationship between Women and Violence
Authors: Huo Shengyao
Published: August 2024

In people's traditional impression, men are inherently violent and women are naturally peaceful. Liberal feminists argue that gender does not dictate one's capacity for peace or violence; instead, societal factors play a crucial role. This article first expounds the reasons for the stereotype of women being naturally peaceful from the aspects of history and society. Secondly, it puts forward that women will also commit violence, and analyzes the scenes and reasons of women's violence.
How to integrate "Brand image Design" kecheng into AIGC technology
Authors: Zhu Heng
Published: August 2024

With the rapid development of Artificial Intelligence Generated Content (AIGC) technology, its application in various fields is increasingly widespread. This study aims to explore how to integrate AIGC into the brand image course to improve teaching effectiveness and cultivate students' innovative practical ability. By analyzing the characteristics and advantages of AIGC, combined with the teaching objectives and contents of the brand image course, specific integration strategies and teaching methods are proposed, and their feasibility and effectiveness are verified through case analysis and teaching practice
Strategi Ketua Organisasi Siswa Intra Madrasah (OSIM) Menjalankan Roda Organisasi pada MAN Insan Cendekia Tapanuli Selatan Tahun 2023
Authors: Siregar Balyan Oslerking
Published: August 2024

This research was conducted to find out the history of the founding of OSIM for the first time at MAN Insan Scholar South Tapanuli and the strategy of the chairman of OSIM for the 2022/2023 period of MAN Insan Scholar South Tapanuli using qualitative research methods and to find out OSIM's work program as set out in the organization's vision and mission. What steps are taken in carrying out the activities to be carried out or how does he deal with the challenges he faces when he finds problems in the organization he leads so that the activities that have been formulated run properly? This aims to develop students' interests and talents which are developed through a forum at a madrasa or school. The forum in question is an institution or organization for the students themselves. Apart from being a forum for developing students' interests and talents, OSIS or OSIM can also be a means for students to train their leadership, namely becoming chairman of the OSIS or OSIM. The strategy and communication carried out by the OSIM chairman to madrasa leaders and stakeholders as well as coordination with OSIM management elements under his leadership are the keys to success in running the organization well.
Load Frequency Control for Hybrid Power System by Modified PSO-PID Controller
Authors: Alhafadhi Mahmood Hasan , Ahmed Mustafa Jamal , Ibrahim Husam Hamid
Published: August 2024

With a proportional integral derivative (PID) controller, the effectiveness of load frequency control (LFC) for separated a variety of electric power-generating devices is described. In the structure under study, a thermal and hydro power producing unit is combined. In order to maintain system efficiency in the event of an unexpected demand on the power structure, the PID controller is suggested as a secondary regulator. The suggested PID controller's optimum gain settings are found using the modified particle swarm optimization (MPSO) technique. The controller increase settings were optimized using a variety of cost functions, namely integral time absolute error (ITAE), integral absolute error (IAE), integral squared error (ISE), and integral time squared error (ITSE). Additionally, the efficiency evaluation of traditional PID controllers for a comparable system utilizing the differential evolution (DE) algorithm and genetic algorithm (GA) demonstrates the improvement of the MPSO approach. The findings demonstrate that in an electrical crisis, the MPSO-PID controller provides a quicker stabilized reaction and that the suggested technique's percent increase over the traditional way is over GA and over DE.
Emotion Recognition Tentang Ditutupnya TikTok Shop Menggunakan Metode Naive Bayes
Authors: Rama Ariya Candra
Published: August 2024

The policy of shutting down TikTok Shop has sparked both pros and cons. On one side, it eliminates jobs for content creators whose income relies on TikTok Shop, while on the other side, it saves UMKM  from predatory pricing wars that harm them. Utilizing the Naive Bayes algorithm, a classification method capable of predicting the likelihood of a class and making decisions based on learning data, the Emotion Recognition research on YouTube comments related to the closure of TikTok Shop is conducted. Data will be classified into five classes: happy, angry, sad, afraid, and surprised. The objective of this research is to find the best emotional model using the Naive Bayes method. The results of user testing with Naive Bayes and Tf-Idf show that the precision values for sad, happy, afraid, and surprised emotions are high, while for anger, the percentage is 59%. The percentages for afraid, happy, sad, and surprised emotions are 91%, 87%, 84%, and 79%, respectively. The overall accuracy is 82%.
Analisis Sentimen Twitter terhadap Tren Penyebaran Informasi Pelaku Kejahatan Menggunakan Algoritma Naives Bayes
Authors: Awwaliyah Aliyah  , Nailah Azzahra  , Aliffia Isma Putri  , Nur Aini Rakhmawati
Published: August 2024

In the rapidly developing digital era, social media such as Twitter has become part of everyday life and facilitates the rapid dissemination of information, including information about criminals. This research aims to analyze public sentiment towards information about criminals spread on Twitter using the Naive Bayes algorithm. This algorithm was chosen because of its simplicity and effectiveness in text classification. Data was collected through a crawling process from Twitter, followed by a preprocessing stage to remove noise. The research results show that public sentiment towards information about criminals on Twitter is divided into three categories: positive, neutral and negative. After classification, it was found that neutral sentiment increased significantly to 63.4%, while positive and negative sentiment decreased to 10.5% and 26.1%. These findings indicate that people tend to be more careful in reacting to sensitive information. This research provides important insights for related parties in managing information about criminals on social media and can be a reference for developing further policies and strategies.
Pengembangan Desain Pengalaman Pengguna Sistem Monitoring Pendaki Gunung Berbasis GPS dan LoRA dengan Metode Agile Scrum
Authors: Aditya Aji Pamungkas  , Muhammad Rafli Krishnadanu Putra Wardana  , Agung Dwi Oktavian  , Dicky Febri Primadani  , Dia Naufal Abiyyu Tsaqif  , Sholiq sholiq
Published: August 2024

Indonesia is home to approximately 400 mountains that attract climbers, both local and international. The increasing number of climbers each year correlates with a rise in accidents. According to data from the National Search and Rescue Agency (BASARNAS), climbing accidents have increased over the past four years. In 2018 alone, there were 23 incidents resulting in 6 fatalities, 4 climbers reported missing, 7 climbers fell ill, and 592 climbers were rescued. Human error, such as choosing the wrong route and adverse weather conditions, remains the primary cause of climbers getting lost. To address these challenges, this research develops a GPS and Long Range (LoRa) based mountain climber monitoring system. The system utilizes GPS to track climbers' locations, heart rate sensors to monitor health conditions, and a buzzer for early warnings when climbers enter restricted areas. It also features a panic button for sending SOS signals to rescue posts. Agile Scrum methodology is employed in the system development, enabling iterative and collaborative software development. Research findings indicate that this system enhances efficiency and effectiveness in monitoring and rescuing climbers in distress, thereby improving mountain climbing safety and comfort.
Workshop Pengolahan Data dengan Software SmartPLS Untuk Data Primer dan Sekunder dalam Riset
Authors: Sari Rahmadhani  , Abdullah Abdullah  , Andi Kartika
Published: August 2024

Understanding data processing for young researchers such as students is crucial to completing the final assignment. An important phase in determining research results after data collection in the field is completed is the data processing stage. This stage is often an obstacle for novice researchers due to the limited development of materials from lectures that have been attended previously. Therefore, this community service becomes a medium for solving problems, namely by holding data processing training carried out in the form of a workshop. This data processing workshop is used for data collected through secondary data and primary data which is carried out in providing materials and practices. This workshop uses the SmartPLS software tool, starting with an introduction to the software, terms of use, and data processing practices. This activity is carried out within the STIE Totalwin environment, namely by forming a community service team as a resource person and the activity implementation committee. The training that was carried out can be followed well. The implementation of the data processing workshop can be carried out and run smoothly. The benefits of this activity are felt by all parties involved in this workshop.
Evaluating a Method for Georeferencing Agricultural Fields
Authors: Emmet Robert L. , Hunt Kevin , Jennings Rachael , Daniel Kara , Abreu Denise A.
Published: August 2024

The US Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) has begun a modernization effort to supplement survey data with non-survey data to improve estimation of agricultural quantities. As part of this effort, NASS has begun georeferencing farms on its list frame by linking geospatial data on agricultural fields with farm records on the list frame. Although many farms can be linked to geospatial data acquired by the Farm Service Agency (FSA), this linkage is not possible for farmers who do not participate in FSA programs, which may include members of some underrepresented groups in US agriculture. Thus, NASS has developed a georeferencing process for non-FSA farms, combining automatic and manual field identification, county assessor parcel data, record linkage, and classification surveys. This process serves the dual purpose of linking farms already on the list frame to geospatial data sources and identifying new farms to add to NASS’s list frame. This report evaluates the output of the non-FSA georeferencing process for 11 states, with a focus on farms added to the list frame via georeferencing. Substantial percentages (>25% for each category) of the new farms added via georeferencing were urban or suburban farms, were small, had livestock, or were in counties with Amish settlements. The georeferencing process shows promise adding farms from these groups that have historically been less well covered in NASS surveys.
On the Anthropological Spirit in the Art of Yunnan Cultural Protection Expert SONG Daming
Authors: Xiaodong WANG
Published: August 2024

Mr. SONG Daming is a nationally renowned expert in heritage protection and photography, deeply influenced by the spirit of artistic anthropology. His work, primarily based in Yunnan Province with experiences in Beijing, benefits from the intersection of these diverse regional and cultural backgrounds, adding depth and richness to his creations. With a unique perspective and keen observational skills, Song Daming documents traditional village dwellings and colorful ethnic costumes in Yunnan. His works hold significant value in ethnology and anthropology, particularly through numerous black-and-white photographs that reflect rural culture and specific historical periods. Since 2000, he has focused on preserving and inheriting ethnic costumes and culture, dedicating his work to promoting poverty alleviation and tourism development in ethnic regions. Song Daming's artistic pursuits and professional expertise not only highlight the spirit of the Chinese nation but also make valuable academic contributions to cultural heritage protection.
Strategi Pembelajaran Matematika Berdasarkan Karakteristik Anak Usia Dini
Authors: Triana Triana Putri , Idawati Sulis Ida , Munawaroh Hidayatu
Published: August 2024

Anak-anak adalah pembelajar yang sangat aktif dan memiliki dunia sendiri yang berbeda dengan dunia orang dewasa dengan membangun pengetahuan nya sendiri. Tumbuh kembang anak itu sangat dipengaruhi oleh kondisi lingkungan yang menciptakan karakteristik pada anak yang harus dipahami oleh seorang pengajar. Pemahaman anak dan perkembangan zaman juga mempengaruhi sistem pembelajaran matematika itu menjadi salah satu kompetensi seorang pengajar untuk dapat membantu menentukkan strategi pembelajaran dan mengoptimalkannya.
PENGEMBANGAN MEDIA KOMPOR PINTAR UNTUK MENINGKATKAN KEMAMPUAN KOGNITIF ANAK USIA 4 - 5 TAHUN DI TK MUSLIMAT NU GINTANGAN BLIMBINGSARI BANYUWANGI
Authors: Syamsudin Moh. Anas , Fitriyawati Endang , Haris Fauzi Alex
Published: August 2024

The learning media developed is media to improve the cognitive abilities of children aged 4-5 years at TK Muslimat NU Gintangan Blimbingsari Banyuwangi. This research aims to develop and produce products that are suitable for use to stimulate children's cognitive abilities. This type of research is the Research and Develomen (R&D) model of Borg and Gall. Of the 10 existing development steps, only 8 development steps were taken, namely 1) information collection, 2) planning, 3) initial product development, 4) trials by validation experts 5) product revisions, 6) field tests, 7) product revision II, 8) field trials. The subjects involved in this study were 1 media expert validator, 1 class teacher and 16 students. Data collection techniques used in this study are observation, interviews, questionnaires, documentation and tests. The data analysis technique used in this study is feasibility analysis using likert scale. Based on the results of validation by media experts and product trials, it can be concluded that kompor pintar media can be said to be very feasible to use. While in the effectiveness test, kompor pintar media was tested to be effective in improving children's cognitive abilities, this can be seen from the comparison of the average value obtained by children at the first meeting, which was 2.6, the second meeting increased to 2.9 and in the third meeting increased to 3.6.
MENGGAGAS BISNIS SYARIAH MASJID BAWAH TANAH DALAM PERSPEKTIF ISLAM
Authors: PUTRI ADISA FARANITA , Febbiyanti Febbiyanti , Nur Siti Khayis
Published: August 2024

Artikel ini membahas dasar-dasar bisnis dalam Islam dengan melakukan studi kasus terhadap Pariwisata Masjid Bawah Tanah Sidrotul Muntaha di Kecamatan Glenmore. Tujuan dari artikel ini adalah untuk menganalisis konsep-konsep bisnis dalam Islam dan relevansinya dalam pengelolaan pariwisata masjid, serta untuk mengevaluasi dampak positif dari implementasi etika bisnis Islam dalam konteks pariwisata. Metode penelitian yang digunakan adalah kualitatif dengan studi literatur dan studi kasus. Melalui pendekatan ini, artikel ini menguraikan prinsip-prinsip bisnis dalam Islam, seperti keadilan, kejujuran, dan tanggung jawab sosial, serta menjelaskan bagaimana prinsip-prinsip tersebut diaplikasikan dalam pengelolaan pariwisata Masjid Bawah Tanah Sidrotul Muntaha. Kesimpulan dari artikel ini menunjukkan bahwa penerapan etika bisnis Islam dalam pariwisata masjid memiliki dampak positif yang signifikan, termasuk dalam meningkatkan kesejahteraan ekonomi masyarakat lokal, melestarikan lingkungan dan warisan budaya, serta meningkatkan kesadaran spiritual pengunjung.
Revamping Education Systems: Studying the Impact of Learning Technology Adoption on stakeholder Engagement and stakeholder Performance during Pandemic Recovery" A Quantitative study.
Authors: Ali Huma , jafar Mishal , Jahanzaib Hafiz Muhammad
Published: August 2024

The post-pandemic educational landscape has enabled technology integration with traditional practices, leading to new paradigms. There is a need to study education stakeholders' performance and engagement behaviors in response to this sudden change. This includes assessing students' learning and performance and teachers' engagement in online learning environments. The comparison study included a sample of 360 teachers and 360 students and used questionnaire survey methods. This study used a two-phase study design. The average age and gender differences in technology adaptability among online teachers and learners were compared by cross-tabulating the teachers' and students' data. The adoption of learning technologies' mediating effects on the relationship between stakeholder engagement and performance were examined using SEM analysis. The results of this study quantified the weak mediator role that learning technology adoption played in the relationship between stakeholder engagement and performance. The study found a new statistical relationship showing the significance of stakeholder engagement in teachers' roles and stakeholder performance in students' roles. The analysis revealed that Learning Technology Adoption had a weak, negative mediating effect on the direct relationship between Engagement and Performance.
Evaluación económica de la obtención de bioetanol a partir de desechos orgánicos mediante la simulación del proceso
Authors: Mendoza Zambrano Daniel Esgardo
Published: August 2024

La investigación se enfocó en determinar la factibilidad de una planta productora de bioetanol a escala industrial en la ciudad de Portoviejo utilizando como materia prima la composición de desechos orgánicos provenientes de la industria alimentaria.
. La simulación del proceso se realizó mediante la utilización software SuperPro Designer donde se plantearon alternativas tecnológicas como la destilación y la separación por membranas. Los flujos finales del sistema obtuvieron un grado alcohólico superior al 95 % m/m con un porcentaje de rendimiento del 9.26% para la destilación y del 7.59% para el proceso de separación por membrana. Por su parte, para la evaluación financiera se añadieron especificaciones tecno-económicas al proceso como precios de equipos, insumos, energía, consumibles, mano de obra, costos directos e indirectos.
The Sociolinguistic Analysis of Dad Joke on the Youtube Channel Yeahmad
Authors: Syahputra Prabu Sulaiman , Seli Sastika , Syafitri Dewi
Published: August 2024

This research aimed to analyze the type of dad joke that appeared on the YeahMad YouTube Channel. The researcher used descriptive qualitative method to collect the data through watching the chosen videos and take a note. The researcher took the 7 chosen videos specifically with dad joke segment as a sample to take the data. The sample of the data were published videos in a span of time from January to June 2024. The fundamental and particular theory of dad jokes that is unavailable was utilized by the researcher to carry out this research. Meyer's (2015) theory of the seven varieties of jokes includes wordplay, irony, sarcasm, situational humor, canned jokes, anecdotal humor, and self-deprecating humor. The data were analyzed and classified by using the theory by Meyer which was the type of jokes. The results showed that the researcher found 109 dad jokes that can be analyzed and classified into the type of jokes which were 12 anecdotal, 19 canned jokes, 11 situational, 4 self-deprecating, 29 wordplay jokes, 14 irony jokes, and 20 sarcasm jokes. Overall, the dad jokes in YeahMad YouTube videos can be classified into the type of joke based on Meyer, which is anecdotal, canned, situational, self-deprecating, wordplay, irony, and sarcasm.
AS CONTRIBUIÇÕES DE ÉMILE DURKHEIM PARA A EDUCAÇÃO: UMA ANÁLISE DOS SEUS PRINCÍPIOS E IMPACTOS
Authors: Siva Jerônimo Cavalcante Dantas da , Silva Rosania Pereira da , Sousa Ivanilde Alves dos Reis
Published: August 2024

The objective of this article is to reflect on the conceptions and contributions of education for Émile Durkheim, to verify his contributions to the formation of man in society. The study in question focuses on understanding Durkheim’s educational ideas in his works considering the determinants of the historical context in which it was produced. For this, a bibliographic research was carried out, of a qualitative nature, which, based on the analysis of the data, will carry out a dialogue with the aspects and principles, in order to answer the research questions. The results obtained demonstrate that Durkheim’s conceptions contribute to the understanding of the role of education in society and its importance in the formation and construction of man. The sociologist translates in his writings the educational requirements of his time, which can be considered very current in contemporary education, making thinking and rethinking pedagogical practices identifying the influences from one generation to the next.
Learn-To-Design: Reinforcement Learning-Assisted Chemical Process Optimization
Authors: Al-Sakkari Eslam G. , Ragab Ahmed , Ali Mohamed , Dagdougui Hanane , Boffito Daria C. , Amazouz Mouloud
Published: August 2024

This paper proposes an AI-assisted approach aimed at accelerating chemical process design through causal incremental reinforcement learning (CIRL) where an intelligent agent is interacting iteratively with a process simulation environment (e.g., Aspen HYSYS, DWSIM, etc.). The proposed approach is based on an incremental learnable optimizer capable of guiding multi-objective optimization towards optimal design variable configurations, depending on several factors including the problem complexity, selected RL algorithm and hyperparameters tuning. One advantage of this approach is that the agent-simulator interaction significantly reduces the vast search space of design variables, leading to an accelerated and optimized design process. This is a generic causal approach that enables the exploration of new process configurations and provides actionable insights to designers to improve not only the process design but also the design process across various applications. The approach was validated on industrial processes including an absorption-based carbon capture, considering the economic and technological uncertainties of different capture processes, such as energy price, production cost, and storage capacity. It achieved a cost reduction of up to 5.5% for the designed capture process, after a few iterations, while also providing the designer with actionable insights. From a broader perspective, the proposed approach paves the way for accelerating the adoption of decarbonization technologies (CCUS value chains, clean fuel production, etc.) at a larger scale, thus catalyzing climate change mitigation.
Simulation and Comparative Analysis of Conventional Steam-Methane Reforming Models for Reactor Electrification
Authors: Zhao Yufei , Cui Chengtian , Masuku Cornelius. M.
Published: August 2024

This study delves into the development and examination of various mathematical models for conventional steam-methane reforming (SMR) reactors, establishing a foundational basis for an electrified SMR reactor design. Distinct mathematical models with different scales and dimensions are derived. A basic 1D-fluid, 0D-catalyst (1D-0D) pseudo-homogeneous model is validated with plant data, and progressively advanced to a 2D-0D model considering radial transfer, then further extended to a rigorous 2D-1D model considering transfer phenomena between catalyst particle and fluid. Simulation cases are conducted under uniform design parameters, heat source and operation conditions. Comparative analyses focus on several key performance aspects, including temperature, reaction rate distribution, and outlet characteristics such as temperature, pressure, flow rate, composition and CH4 conversion. The models effectively describe the industrial SMR reactor behavior. Influences of scale and dimension of mathematical model on reactor performance are highlighted. The rigorous 2D-1D model is identified as the most suitable model for adapting to electrified reactor configurations due to its precise capture of transfer phenomena and detailed illustration of both fluid and catalyst behaviors.
Accelerating Discovery in Consumer Product Design
Authors: Gettelfinger Brian T.
Published: August 2024

At Procter and Gamble, innovation is based on a framework of Irresistible Superiority [1] that utilizes five complementary components � Products, Packages, Communication, Retail Execution, and Value. Increasing-ly, the computational techniques heavily leveraged with-in the Process Systems Engineering community are play-ing a leading role in delivering these five vectors, and they become increasingly valuable as we aim to deliver products in more exploratory consumer spaces � where combining high-volume data, advanced modeling, and quantified uncertainty will allow us to discover and deliv-er better products faster than ever before...
Process Flowsheet Optimization with Surrogate and Implicit Formulations of a Gibbs Reactor
Authors: Bugosen Sergio I. , Laird Carl D. , Parker Robert B.
Published: August 2024

Alternative formulations for the optimization of chemical process flowsheets are presented that leverage surrogate models and implicit functions to replace and remove, respectively, the algebraic equations that describe a difficult-to-converge Gibbs reactor unit operation. Convergence reliability, solve time, and solution quality of an optimization problem are compared among full-space, ALAMO surrogate, neural network surrogate, and implicit function formulations. Both surrogate and implicit formulations lead to better convergence reliability, with low sensitivity to process parameters. The surrogate formulations are faster at the cost of minor solution error, while the implicit formulation provides exact solutions with similar solve time. In a parameter sweep on the autothermal reformer flowsheet optimization problem, the full-space formulation solves 33 out of 64 instances, while the implicit function formulation solves 52 out of 64 instances, the ALAMO polynomial formulation solves 64 out of 64 instances, and the neural network formulation solves 48 out of 64 instances. This work demonstrates the trade-off between accuracy and solve time that exists in current methods for improving convergence reliability of chemical process flowsheet optimization problems.
Enhancing Polymer Reaction Engineering Through the Power of Machine Learning
Authors: Safari Habibollah , Bavarian Mona
Published: August 2024

Copolymers are commonplace in various industries. Nevertheless, fine-tuning their properties bears significant cost and effort. Hence, an ability to predict polymer properties a priori can significantly reduce costs and shorten the need for extensive experimentation. Given that the physical and chemical characteristics of copolymers are correlated with molecular arrangement and chain topology, understanding the reactivity ratios of monomers�which determine the copolymer composition and sequence distribution of monomers in a chain�is important in accelerating research and cutting R&D costs. In this study, the prediction accuracy of two Artificial Neural Network (ANN) approaches, namely, Multi-layer Perceptron (MLP) and Graph Attention Network (GAT), are compared. The results highlight the potency and accuracy of the intrinsically interpretable ML approaches in predicting the molecular structures of copolymers. Our data indicates that even a well-regularized MLP cannot predict the reactivity ratio of copolymers as accurately as GAT. This is attributed to the compatibility of GAT with the data structure of molecules, which are graph-representative.
Constraint Formulations for Bayesian Optimization of Process Simulations: General Approach and Application to Post-Combustion Carbon Capture
Authors: Duewall Clinton M. , El-Halwagi Mahmoud M.
Published: August 2024

Some of the most highly trusted and ubiquitous process simulators have solution methods that are incompatible with algorithms designed for equation-oriented optimization. The natively unconstrained Efficient Global Optimization (EGO) algorithm approximates a black-box simulation with kriging surrogate models to convert the simulation results into a reduced-order model more suitable for optimization. This work evaluates several established constraint-handling approaches for EGO to compare their accuracy, computational efficiency, and reliability using an example simulation of an amine post-combustion carbon capture process. While each approach returned a feasible operating point in the number of iterations provided, none of them effectively converged to a solution, exploring the search space without effectively exploiting promising regions. Using the product of expected improvement and probability of feasibility as next point selection criteria resulted in the best solution value and reliability. Constraining probability of feasibility while solving for the next sample point was the least likely to solve, but the solutions found were most likely to be feasible operating points.
A Fast Computational Framework for the Design of Solvent-Based Plastic Recycling Processes
Authors: Mungu�a-L�pez Aurora del C. , Zhou Panzheng , Ikegwu Ugochukwu M. , Lehn Reid C. Van , Zavala Victor M.
Published: August 2024

Multilayer plastic films are widely used in packaging applications because of their unique properties. These materials combine several layers of different polymers to protect food and pharmaceuticals from external factors such as oxygen, water, temperature, and light. Unfortunately, this design complexity also hinders the use of traditional recycling methods, such as mechanical recycling. Solvent-based separation processes are a promising alternative to recover high-quality pure polymers from multilayer film waste. One such process is the Solvent-Targeted Recovery and Precipitation (STRAPTM) process, which uses sequential solvent washes to selectively dissolve and separate the constituent components of multilayer films. The STRAPTM process design (separation sequence, solvents, operating conditions) changes significantly depending on the design of the multilayer film (the number of layers and types of polymers). Quantifying the economic and environmental benefits of alternative process designs is essential to provide insights into sustainable recycling and film (product) design. In this work, we present a fast computational framework that integrates molecular-scale models, process modeling, techno-economic and life-cycle analysis to evaluate STRAPTM designs. The computational framework is general and can be used for complex multilayer films or multicomponent plastic waste streams. We apply the proposed framework to a multilayer film commonly used in industrial food packaging. We identify process design configurations with the lowest economic and environmental impact. Our analysis reveals trends that can help guide process and product design.
A mathematical programming optimization framework for wind farm design considering multi-directional wake effect
Authors: Vergara-Zambrano Javiera , Avraamidou Styliani
Published: August 2024

The placement of wind turbines is a crucial design element in wind farms, given the energy losses resulting from the wake effect. Despite numerous studies addressing the Wind Farm Layout Optimization (WFLO) problem, considering multiple directions to determine wind turbine spacing and layout remains limited. However, relying solely on one predominant direction may lead to overestimating energy production, and loss of energy generation. This work introduces a novel mathematical programming optimization framework to solve the WFLO problem, emphasizing the wind energy's nonlinear characteristics and wake effect losses. Comparisons with traditional layout approaches demonstrate the importance of optimizing wind farm layouts during the design phase. By providing valuable insights into the renewable energy sector, this research aims to guide future wind farm projects towards layouts that balance economic considerations with maximizing energy production.